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Learning Environments - Science topic

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How can behavior intervention plans be effectively implemented in a rural, inclusive classroom setting, where there is no dedicated educational assistance or administrative support, and where the absence of one-on-one support makes accurate behavior tracking challenging? Specifically, how can educators address significant behavioral issues, such as aggression and violent reactions to perceived offenses, in the absence of reliable data collection methods, while maintaining a safe and supportive learning environment for students on the autism spectrum with subtle support needs?
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Bonjour,
Votre plan dépend des troubles de ces élèves et de la nature de cette classe inclusive, sinon le travail en petit groupe (au sein de cette même classe) qui change selon les buts de chaque activité proposée peut aider à cerner les points forts et les points faibles communs et individuels pour un éventuel projet thérapeutique ou de prise en charge d'inspiration de thérapie de groupe.
Bon courage à vous
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School staff management is an organizational process aimed at optimizing the use of human resources within schools to achieve the highest standards of education quality. This process involves recruiting educational and administrative personnel, developing their skills, fostering effective communication among them, and motivating them to innovate and excel. The ultimate goal of school staff management is to create an inspiring learning environment that supports students' academic and personal growth while ensuring the school achieves its objectives and strengthens its role as a leading educational institution.
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Educational leaders work towards problem-solving by connecting theory to real-world projects and contexts in an evidence-based and relational manner. Setting a clear vision, school norms, goals, and expectations that support social, emotional, and physical safety. Establishing school safety for a more positive climate. Advocating for students as well as parent's involvement in school policies and practices. Engaging teachers and administrators.
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The question explores how to use tools and methods to assess the success of classroom management strategies, including analyzing students' academic and behavioral performance, collecting data through observations and surveys, and leveraging technology for evaluation. It also addresses how to improve these strategies based on feedback and results to ensure a motivating and well-organized learning environment.
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Dear Ms. Nayyef!
You raised an important topic. Please let me state this problem-solving process is a case - and context-dependent one. Adaptive learning practices are in the focus:
1) Rincon-Flores, E.G., Castano, L., Guerrero Solis, S.L. et al. Improving the learning-teaching process through adaptive learning strategy. Smart Learn. Environ. 11, 27 (2024). https://doi.org/10.1186/s40561-024-00314-9, Open access:
2) Jacqueline Anton, Mark J. Van Ryzin, Reducing teacher stress and burnout and enhancing self-efficacy through technology-supported small-group instruction, Social and Emotional Learning: Research, Practice, and Policy, Volume 4, 2024, https://doi.org/10.1016/j.sel.2024.100053, Open access:
3) A case study: Li, L., Hu, Y., Yang, X. et al. Enhancing pre-service teachers’ classroom management competency in a large class context: the role of fully immersive virtual reality. Humanit Soc Sci Commun 11, 1050 (2024). https://doi.org/10.1057/s41599-024-03538-9, Open access: https://www.nature.com/articles/s41599-024-03538-9
Sincerely, Bulcsu Szekely
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The aim of this study is not only to investigate how these factors - self-efficacy, teacher-student relationship, intrinsic motivation, and extrinsic motivation, influence academic achievement, but also to empower educators and administrators with actionable insights into optimizing educational outcomes and creating supportive learning environments by analyzing the individual and combined effects.
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Key factors that enhance high school students' academic achievement include effective teaching methods, supportive family engagement, and positive peer influence. Additionally, well-organized study environments, access to resources, and strong time-management skills are critical. To utilize these factors effectively, schools can implement engaging teaching strategies, encourage family involvement in learning, and promote positive peer collaboration. Providing students with resources, teaching study skills, and helping them develop routines can further reinforce their academic success.
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El Diseño de un Entorno de Aprendizaje Rizomático en Educación Física busca transformar el aula en un espacio de exploración y autonomía, donde cada estudiante es el protagonista de su propio aprendizaje. A través de estrategias rizomáticas, se fomenta un enfoque dinámico y sin limitaciones, que conecta conceptos de educación física con competencias socioemocionales, promoviendo el "aprender a aprender". Este entorno permite que los estudiantes desarrollen habilidades de auto-dirección, colaboración y adaptación, aplicando el conocimiento en contextos diversos y en constante cambio. Más allá de las actividades físicas, el entorno rizomático impulsa el pensamiento crítico y la creatividad, formando individuos capaces de aprender de manera continua y significativa.
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El Diseño de un Entorno de Aprendizaje Rizomático en Educación Física busca transformar el aula en un espacio de exploración y autonomía, donde cada estudiante es el protagonista de su propio aprendizaje. A través de estrategias rizomáticas, se fomenta un enfoque dinámico y sin limitaciones, que conecta conceptos de educación física con competencias socioemocionales, promoviendo el "aprender a aprender". Este entorno permite que los estudiantes desarrollen habilidades de auto-dirección, colaboración y adaptación, aplicando el conocimiento en contextos diversos y en constante cambio. Más allá de las actividades físicas, el entorno rizomático impulsa el pensamiento crítico y la creatividad, formando individuos capaces de aprender de manera continua y significativa.
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Working adults often face unique challenges, such as managing their professional responsibilities alongside their studies, with the added pressure of condensed semester durations compared to full-time students. For example, some lecturers may not fully engage with or address the specific needs and concerns of working adults during lectures or assignments, potentially leading to gaps in understanding or academic performance. Additionally, working adults returning to education may struggle with independently conducting research, given their time away from formal studies and the need to adapt to academic expectations. What approaches do you recommend for creating a supportive learning environment that acknowledges these challenges and provides effective solutions to help working adults succeed?"
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Definitely, online lessons, assignments, and coursework marks may help. It also calls for more flexibility as adults balancing both work and education can be overly stretched.
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I need websites or any apps that would enable such types of environments.
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Good-day. I would say that with the advent of AI platforms such as ChatGPT and many others, it has become a gamechanger in responsive or adaptive learning. However such platforms would have to be used with discretion and in cognisance of institutional policies etc.
There are other more formalised online platforms such as MOOCS eg. "Course era" where one can even obtain a completion qualification in various areas. There is also informal learning platforms which i have personally enjoyed such as "Ted talks" on YouTube.
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In order to create a conducive learning environment, teacher must assure that students have eagerness in learning new things in general or certain subject. That is why measurement on student eagerness in learning is important.
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Hi, Muhammad Zuhri Fakhruddin!
Now that I have a better vantage point regarding conducive learning and measuring “eagerness in learning,” I can engage a bit more. Thank you, Ghina Shibly and Michael Kerres, for your help.
That said, it seems that one’s “eagerness to learn” is, as I stated earlier, in need of a converging definition to unify a framed discussion. According to Buntins and Heinemann (2021), “A common definition of student engagement is needed to advance in convergent findings and a shared understanding of what is being measured.” As a result, this could “support the consolidation of theory building as well as new theoretical approaches….” Nonetheless, several researchers have done well establishing and measuring different aspects of “eagerness to learn” (Buntins & Heinemann, 2021, p. 6). And although they use many different frameworks and points of measurement, the topic is still essential and worth discussing.
Eagerness to Learn
I will frame my discussion with Dr. Bloom’s Three Domains of Learning (1984). Muhammad, you stated, “In order to create a conducive learning environment, [the] teacher must assure that students have eagerness in learning new things….” I agree to a certain extent. This is because the word assures (as it relates to student engagement) implies a guarantee or promise. So, because we cannot guarantee the engagement/motivation of others, I say present best practices versus assurance. That said, I agree. Faculty should do their best to provide teaching and learning environments and experiences that the students deem “eager to learn.”
So how do we do this? Research, assess, develop, implement, measure and adjust. And because I can be longwinded, I will wrap up here 😊 One could use a grounded theory approach, use both interviews and an open-ended survey or questionnaire, and deduce from the data preferred learning themes. Design curriculum and activities accordingly, pilot the applied findings, measure students' success based on the research questions and point of engagement measures, and adjust where needed. 😊 I said all that to say that students' eagerness to learn is mostly measured by varying students' points of engagement (Buntins & Heinemann, 2021). But the real measure is whether or not the students are motivated to engage.
An eagerness to learn is based on students’ “Internal motivation,” and their “Internal Motivation Extended” to external events they deem worthy of learning (Hambric, 2024, p. 8). Therefore, to present “Best Practices” (practices that students deem "eager to learn" practices), faculty should go directly to the source of interest and create conducive learning from the student’s perspective.
Bloom, B. S., & Krathwohl, D. R. (1984). Taxonomy of educational objectives: The classification of educational goals. Longman.
Buntins, K., Kerres, M., & Heinemann, A. (2021). A scoping review of research instruments for measuring student engagement: In need for convergence. International Journal of Educational Research, 2, 100099. https://doi.org/10.1016/j.ijedro.2021.100099.
Hambric, T. Students’ Motivation: The Mystery Unraveled – A Game-Changing Inquiry with Awesomely Applicable Results! (May 2024), Higher Order Teaching & Learning Institute. QPOR Publishing [www.hotlinstitute.org - Coming Soon].
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Understanding a student's learning style is crucial for effective education. The VARK model, one of the most common frameworks, categorizes learning styles into four types: visual, auditory, reading/writing, and kinesthetic. Each style has distinct characteristics; for example, visual learners benefit from diagrams and charts, while auditory learners excel with spoken information. Recognizing these preferences allows educators to tailor their teaching methods, creating a more inclusive and productive learning environment for students.
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I think this is not possible always. However, teachers can follow mixed learning style to reach more students.
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I am currently working on my dissertation proposal titled, "The Application of Uses and Gratifications Theory in Assessing Information Literacy in Online Learning Environments." With this proposed title, I would like to gather related literatures and reviews that would give substance to my study. Thank you.
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Dear Allan, I believe that the application of the Uses and Gratifications Theory in online learning could be discussed in the context of gamification and playful design. Hence, I share with you a couple of relevant studies such as a recent review on gamification in online learning [1-5]. Regarding information literacy, you might find interesting a study with a augmented reality escape room game on fake news [6].
[1] Yazdi, A., Karimi, A., & Mystakidis, S. (2024). Gamification in Online Education: A Visual Bibliometric Network Analysis. Information, 15(2), 81. https://doi.org/10.3390/info15020081
[2] Mystakidis, S. (2021). Combat Tanking in Education - The TANC Model for Playful Distance Learning in Social Virtual Reality. International Journal of Gaming and Computer-Mediated Simulations, 13(4), 1–20. https://doi.org/10.4018/IJGCMS.291539
[3] Christopoulos, A., Mystakidis, S., Kurczaba, J., Laakso, M.-J., & Stylios, C. (2024). Is Immersion in 3D Virtual Games Associated with Mathematical Ability Improvement in Game-Based Learning? International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-023-10440-4
[4] Mystakidis, S. (2022). Sustainable Engagement in Open and Distance Learning With Play and Games in Virtual Reality. In O. Bernardes, V. Amorim, & A. C. Moreira (Eds.), Handbook of Research on Gamification Dynamics and User Experience Design (pp. 409–424). IGI Global. https://doi.org/10.4018/978-1-6684-4291-3.ch019
[5] Mystakidis, S. (2020). Distance Education Gamification in Social Virtual Reality: A Case Study on Student Engagement. 11th International Conference on Information, Intelligence, Systems and Applications (IISA 2020), 1–6. https://doi.org/10.1109/IISA50023.2020.9284417
[6] Buchner, J., & Höfler, E. (2024). Can pre-service teachers learn about fake news by playing an augmented reality escape game? Contemporary Educational Technology, 16(2), ep504. https://doi.org/10.30935/cedtech/14335
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How can LMS tools be used to create a just-in-time learning environment?
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Dear Dr. Bello!
I argue that data security considerations play a key role in deploying mobile AI-enhanced LMS:
1) Chatterjee, P., Bose, R., Banerjee, S. et al. Enhancing Data Security of Cloud-Based LMS. Wireless Pers Commun 130, 1123–1139 (2023). https://doi.org/10.1007/s11277-023-10323-5, Available at:'
2) LXP ("cloud-hosted"): Next-Generation LMS in Imed Bouchrika, Phd 2024. 10 Top LMS Trends in 2024: Technologies Driving Learning Management Systems, February 8, 2024, Available at: https://research.com/education/lms-trends
Quote: "Remote access will go beyond smartphones and tablets. The Internet-of-Things, the general term for connected devices, thanks to more powerful and accessible hardware and an internet connection, can lead to more devices connected to LMS, such as smart TVs, electronic whiteboards, smartwatches, smart glasses, and other electronic devices."
Yours sincerely, Bulcsu Szekely
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What is positive learning environment?
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Un mediu pozitiv de învățare este cheia succesului în educație! Rolul de a crea un mediu pozitiv de învățare îi aparține profesorului, asta de fapt este și arta, inteligența și succesul educației.
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How to maintain a positive learning environment?
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I think positive encouraging environment can only be maintain by the style of teaching, attitude, motivation and skills of communication. As a researcher in Science and Engineering, in my whole life experience the positive experience of education I got is from those teachers, who got skills to teach others, data which requires the expending, what I meant to say is. In order to create health a teacher learn about the background of pupils and always add their field an appreciation in the lecture to encourage whole class to participate. Every topic should start from basics to advance with life examples to increases the interest of students.
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As there is globalisation and the digital revolution in every aspect of future learners who are so-called new millennium learners, how the Innovative Learning Environments fulfil the purpose. Also, there is a need to look into the well-being of the learners and how the pedagogy and curriculum can be designed for the community needs of every learner.
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I agree Babu (the unsuitability in all countries of old style LMSs are also a problem. I think the best we can do is design for uncertainty,sustainability and flexibility in education.
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Good day. I am Lovelle T. Jamisola, currently pursuing my Master of Arts in Education at Caraga State University, Cabadbaran Campus, located in Agusan Del Norte, Philippines.
In today's diversified learning environments, I am particularly interested in learning how educational supervision contributes to improved student outcomes and teacher effectiveness.
Your expertise and understanding would be very beneficial to my research.
Thank you.
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In today's diversified learning contexts, educational supervision  is essential to improving student results and teacher effectiveness. Supervisors need to take a collaborative and flexible approach in the changing educational environment of today, appreciating and respecting the many backgrounds, requirements, and learning styles of their students. Providing instructors with specialised assistance and opportunities for professional development that are catered to the particular possibilities and difficulties presented by diverse classes is essential to effective supervision. This might entail encouraging inclusive instructional tactics, integrating technology to accommodate a range of learning preferences, and developing culturally sensitive teaching approaches. Educational supervision directly contributes to the enhancement of teacher effectiveness by cultivating a culture of ongoing improvement and personalised growth for educators. This, in turn, has a positive impact on student engagement, achievement, continuous improvement, and overall success in diverse learning environments.
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Gamification in Online Management Education.
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Gamification creates interest among the learners, which helps to motivate the learners to achieve the objectives.
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How can teachers effectively address and prevent disruptive behavior in the classroom while maintaining a positive and inclusive learning environment for all students?
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Addressing and preventing disruptive behavior while maintaining a positive and inclusive learning environment involves a combination of proactive strategies, effective classroom management, and fostering a supportive atmosphere. Here are some approaches teachers can employ:
1. Establish Clear Expectations: Set clear and consistent rules and expectations for behavior in the classroom. Communicate these rules to students and ensure they understand the consequences of not adhering to them. Encourage student input in establishing these guidelines to foster ownership.
2. Build Relationships: Foster positive relationships with students. When students feel valued and respected, they are more likely to engage positively in the classroom. Greet students, learn about their interests, and show genuine care for their well-being.
3. Use Positive Reinforcement: Acknowledge and reward positive behavior. Praising students for following expectations encourages them to continue doing so. This can include verbal praise, reward systems, or privileges that recognize good behavior.
4. Implement Engaging Lessons: Keep lessons interesting and engaging to minimize boredom and restlessness that may lead to disruptive behavior. Use various teaching methods, incorporate hands-on activities, and relate lessons to real-life experiences to capture students' interest.
5. Differentiate Instruction: Cater to different learning styles and abilities within the classroom. Providing varied activities and assignments helps keep all students engaged and minimizes feelings of exclusion or frustration.
6. Address Issues Promptly: Deal with disruptive behavior swiftly and calmly. Address the behavior privately when possible, focusing on the action, not the student. Use a progressive discipline approach that starts with a gentle reminder and escalates if necessary.
7. Utilize Classroom Management Techniques: Use techniques like proximity control (moving closer to the student), non-verbal cues (eye contact, gestures), and positive redirection to guide behavior without escalating the situation.
8. Encourage Open Communication: Create an environment where students feel comfortable expressing themselves and their concerns. Encourage dialogue and active listening to address any underlying issues contributing to disruptive behavior.
9. Provide Support: Identify students who may need additional support academically or behaviorally. Offer resources, counseling, or additional assistance to help them succeed and feel included.
10. Reflect and Adjust: Regularly reflect on your teaching methods and classroom dynamics. Adjust your approach as needed based on what works best for your students.
Consistency, empathy, and a focus on positive reinforcement are key components in effectively addressing and preventing disruptive behavior while maintaining an inclusive and positive classroom environment.
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How can effective supervision and management practices positively impact student outcomes and contribute to the overall success of an educational institution?"
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Management is a daily occurrence where an administrator should be visible and making relationships however, what is the vision and mission of the school? This is an important piece of information that helps lead conversations of the “why” we are here.
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La inteligencia Artificial es la simulación de la inteligencia humana en los procesos de las máquinas, especialmente de los sistemas informáticos. Aplicaciones específicas de la IA son los sistemas expertos, procesamiento de lenguaje natural, reconocimiento de voz y la visión de la máquina .
¿Cuáles Son las Aplicaciones de la Inteligencia Artificial?
Aquí está la lista de los 21 de la Inteligencia Artificial (AI) Aplicaciones:
1. La Exploración Del Espacio
AI se están desarrollando sistemas para reducir el peligro de la vida humana que se adentra en los vastos reinos de descubrir y descifrar el universo que es una tarea arriesgada que los astronautas deben tomar. También podría ser utilizado para las actividades en el espacio, tales como la exploración espacial, incluyendo el análisis de los datos de misiones espaciales, en tiempo real de la ciencia de las decisiones de la nave, espacio escombros de evitación, y más autónomos a la operación.
Como resultado, no tripulados misiones de exploración espacial como el Rover de Marte son posibles debido a la utilización de la IA. Esto nos ha ayudado a descubrir numerosos exoplanetas, las estrellas, las galaxias, y más recientemente, dos nuevos planetas en nuestro sistema.
La NASA también está trabajando con aplicaciones de la AI para la exploración del espacio para automatizar el análisis de la imagen y a desarrollar autónoma de la nave espacial, que evitaría que la basura espacial, sin intervención humana, crear redes de comunicación más eficiente y libre de distorsión mediante el uso de una inteligencia artificial basada en dispositivo.
2. AI Aplicación en E-Commerce
AI es proporcionar una ventaja competitiva a la industria del e-commerce, y cada vez es más exigente en el negocio del e-comercio. AI es para ayudar a los clientes a descubrir los productos asociados con el tamaño, el color, o incluso de la marca.
Compra Personalizada
Tecnología de Inteligencia Artificial se utiliza para crear motores de recomendación a través del cual usted puede participar mejor con sus clientes. Estas recomendaciones se hacen de acuerdo con su historial de navegación, preferencias e intereses. Ayuda en la mejora de su relación con sus clientes y su lealtad a su marca.
AI-powered Asistentes
Tiendas virtuales asistentes y chatbots ayudar a mejorar la experiencia del usuario, mientras que las compras en línea. Procesamiento del Lenguaje Natural se utiliza para hacer que la conversación de sonido como humano y personal posible. Por otra parte, estos asistentes pueden tener en tiempo real el compromiso con sus clientes. ¿Sabía usted que en amazon.com pronto, el servicio al cliente podría ser manejado por chatbots?
La Prevención Del Fraude
Fraudes de tarjetas de crédito y comentarios falsos son dos de las cuestiones más importantes de Comercio electrónico a las empresas a afrontar. Considerando los patrones de uso, la IA puede ayudar a reducir la posibilidad de fraudes de tarjetas de crédito teniendo lugar. Muchos clientes prefieren comprar un producto o servicio, basado en comentarios de los clientes. AI puede ayudar a identificar y manejar a las opiniones falsas.
3. Aplicaciones De la Inteligencia Artificial en la Educación
Aunque el sector de la educación es la más influenciada por los seres humanos, la Inteligencia Artificial se ha comenzado a filtrarse sus raíces en el sector de la educación también.
Incluso en el sector de la educación, esta lenta transición de la Inteligencia Artificial ha ayudado a aumentar la productividad entre las facultades y les ayudó a concentrarse más en los estudiantes de oficina o de trabajo de la administración.
AI se puede automatizar la clasificación, de modo que el tutor puede tener más tiempo para enseñar. AI chatbot puede comunicarse con los estudiantes como un asistente de enseñanza.
AI en el futuro puede trabajar como personal virtual tutor para los estudiantes, que podrán acceder fácilmente en cualquier momento y en cualquier lugar.
AI también puede crear un medio ambiente disfuncional con la venganza efectos, tales como la tecnología que obstaculiza la capacidad de los estudiantes a permanecer en la tarea. En otro escenario, la IA puede ayudar a educador (a) estudiante de la predicción temprana en el entorno de aprendizaje virtual (VLE) como Moodle.
Algunas de estas aplicaciones en este sector incluyen:
Tareas administrativas Automatizadas para ayudar a los Educadores
La Inteligencia Artificial puede ayudar a los educadores con los no-tareas educativas como las tareas relacionadas con tareas como facilitar y automatizar los mensajes personalizados a los estudiantes, de back-office tareas como la clasificación de trámites, organizar y facilitar los padres y tutores de las interacciones, la rutina, el problema de la retroalimentación a la facilitación, la gestión de las inscripciones, cursos, recursos humanos y temas relacionados.
La Creación De Contenido Inteligente
La digitalización de contenidos como video conferencias, congresos y libros de texto de las guías pueden ser realizados utilizando Inteligencia Artificial. Podemos aplicar diferentes interfaces como las animaciones y los contenidos de aprendizaje a través de la personalización para los estudiantes de los diferentes grados.
La Inteligencia Artificial ayuda a crear una rica experiencia de aprendizaje mediante la generación y prestación de audio y vídeo resúmenes e integral de los planes de lección .
Voz Asistentes
Incluso sin la participación directa de la profesora o el profesor, un estudiante puede tener acceso adicional de material de aprendizaje o de asistencia a través de la Voz de los Asistentes. A través de este, los costos de impresión de temporal manuales y también dar respuestas a muy comunes preguntas con facilidad.
Aprendizaje Personalizado
El uso de tecnología de la IA, la hiper-personalización de técnicas se pueden utilizar para supervisar a los estudiantes de los datos de fondo, y los hábitos, planes de lección, recordatorios, guías de estudio, flash notas, de frecuencia o de revisión, etc., puede ser fácilmente generados.
Echa un vistazo:
  • Mejor AI Herramientas para que los Estudiantes
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  • Mejor AI Herramientas de Investigación para los Investigadores Académicos y Escritores
4. Aplicaciones de la Inteligencia Artificial en el Estilo de vida
La Inteligencia Artificial tiene una gran influencia en nuestro estilo de vida. Vamos a discutir algunos de ellos.
Vehículos Autónomos
Compañías fabricantes de automóviles como Toyota, Audi, Volvo, y Tesla, el uso de la máquina de aprendizaje para capacitar a los equipos para pensar y evolucionar como seres humanos cuando se trata de conducir en cualquier entorno y la detección de objetos para evitar accidentes.
Los Filtros De Spam
El correo electrónico que utilizamos en nuestro día a día en la vida tiene AI que filtra los correos electrónicos de spam el envío de ellos a spam o carpetas de basura, que nos permite ver el contenido filtrado sólo. El popular proveedor de correo electrónico, Gmail, ha logrado alcanzar una capacidad de filtración de aproximadamente 99.9%.
Reconocimiento Facial
Nuestros favoritos de dispositivos como los teléfonos móviles, ordenadores portátiles y Ordenadores de uso de técnicas de reconocimiento facial mediante el uso de la cara filtros para detectar e identificar con el fin de proporcionar un acceso seguro.
Aparte de uso personal, el reconocimiento facial es ampliamente utilizado en la Inteligencia Artificial de aplicación incluso en áreas relacionadas con la seguridad en varias industrias.
Sistema De Recomendación
Diversas plataformas que utilizamos en nuestras vidas diarias como e-commerce, sitios web de entretenimiento, medios de comunicación social, el intercambio de video plataformas, como youtube, etc, todos utilizan el sistema de recomendación para obtener los datos del usuario y proporcionar recomendaciones personalizadas a los usuarios a aumentar su compromiso. Este es un muy ampliamente utilizado en la Inteligencia Artificial de aplicación en casi todas las industrias.
5. Aplicaciones de la AI en la Navegación
De acuerdo con el MIT de la investigación, la tecnología GPS puede dar a los usuarios información precisa, oportuna y profundidad de la información para aumentar la seguridad. El sistema hace la vida más fácil para los usuarios por determinar automáticamente el número de carriles de la carretera y de los tipos detrás de obstrucciones en las carreteras mediante la combinación Gráfica de la Red Neuronal y Convolucional de la Red Neuronal. Uber y varias empresas de logística significativamente dependen de AI para mejorar la eficacia operativa, evaluar el tráfico, y el plan de rutas.
Aquí están las importantes aplicaciones de la AI en el sector de la Navegación:
Carretera de Asignación: la tecnología GPS puede dar a los usuarios información precisa, oportuna y completa la información para mejorar la seguridad.
Un ejemplo típico de la carretera de asignación es Uber y otras logística de las empresas que utilizan IA de la eficiencia operativa y la optimización de rutas. Google Maps también se utiliza AI para calcular el tráfico y la construcción para encontrar la ruta más rápida a su ubicación.
Por Ejemplo, Google Maps ofrece direcciones de acuerdo con la ruta más corta desde Berlín a Potsdam. Las áreas que se destacan en la forma de color para representar la intensidad de tráfico. El color oscuro indica max tráfico, mientras que la luz de la sombra es para un mínimo de tráfico.
AI En Vuelos de Aerolíneas: tecnología de la IA ha contribuido ampliamente al plano de las operaciones. Una encuesta realizada en el año 2015 grabada en que el piloto operado sólo el 7% de los aviones, mientras que AI administrado el resto. Basado en la AI, en especial aviones que funcionan sin necesidad de un piloto han sido fabricados.
6. AI en la Astronomía
La Inteligencia Artificial puede ser muy útil para resolver el complejo universo de problemas. AI la tecnología puede ser útil para entender el universo, tales como cómo funciona, su origen, etc.
La inteligencia Artificial se utiliza en astronomía para analizar la mayor cantidad de datos y aplicaciones, principalmente para "clasificación, regresión, clustering, la previsión, la generación, el descubrimiento y el desarrollo de nuevos conocimientos científicos" por ejemplo, para descubrir exoplanetas, pronóstico de la actividad solar, y la distinción entre las señales de e instrumental de los efectos en la astronomía de ondas gravitatorias.
7. AI Aplicaciones en la Robótica
La robótica es otro campo de artificial de la inteligencia artificial, donde las aplicaciones de la inteligencia artificial se utilizan comúnmente. Robots que son alimentados por el uso de la IA actualizaciones en tiempo real en el sentido de los obstáculos en su camino y pre-plan de su viaje al instante.
El papel de la inteligencia artificial en la Robótica ha sido muy notable a lo largo de los años.
Comúnmente, el general robots están programados de tal manera que puede realizar algunas de las tareas repetitivas, pero con la ayuda de la IA, podemos crear robots inteligentes que pueden realizar tareas con sus propias experiencias sin ser pre-programado.
Robots humanoides son los mejores ejemplos de la IA en la robótica, recientemente, el inteligente robot Humanoide llamado como Erica y Sofía ha sido desarrollado que puede hablar y comportarse como seres humanos.
Puede ser utilizado para la
  • Transporte de mercancías en los hospitales, fábricas y almacenes de
  • Limpieza de oficinas y equipos de gran tamaño
  • La gestión del inventario
8. Aplicaciones de la AI en Recursos Humanos
La Inteligencia Artificial ha llegado a ser tan útil en la contratación. Ayuda con el ciego de contratación. El uso de la máquina de aprendizaje de software, usted puede examinar las aplicaciones basadas en parámetros específicos.
AI unidad de sistemas puede escanear candidatos perfiles y currículos a proporcionar a los reclutadores de una comprensión de la piscina de talento que debe elegir.
9. AI Aplicaciones en el sector Salud
La Inteligencia Artificial encuentra diversas aplicaciones en el sector de la salud. Aplicaciones de la AI se utilizan en el cuidado de la salud para construir máquinas sofisticadas que pueden detectar enfermedades e identificar las células cancerosas. La Inteligencia Artificial puede ayudar a analizar las condiciones crónicas con laboratorio y otros datos médicos para garantizar un diagnóstico temprano. AI usa la combinación de los datos históricos y médicos de inteligencia para el descubrimiento de nuevos fármacos.
En los últimos cinco a diez años, AI cada vez más ventajoso para la industria de la salud y va a tener un impacto significativo en la industria de este sector.
Profesional Industrias de la aplicación de la IA para hacer un mejor y más rápido diagnóstico de los seres humanos. AI puede ayudar a los médicos con diagnósticos y pueden informar cuando los pacientes están empeorando de manera que la ayuda médica puede llegar a la paciente antes de la hospitalización.
10. Vigilancia
AI ha hecho posible el desarrollo de Herramientas de reconocimiento facial que puede ser utilizado para la vigilancia y la seguridad. Como resultado, esto le permite a los sistemas para monitorear el material de archivo en tiempo real y puede ser un precursor de desarrollo en lo que respecta a la seguridad pública.
Manual de monitoreo de cámaras de CCTV requiere de constante intervención humana, por lo que es propenso a errores y la fatiga. AI-basado en la vigilancia está automatizado y funciona 24/7, proporcionando datos en tiempo real.
Según un informe de la fundación Carnegie para la Paz Internacional, un mínimo de 75 de los 176 países están utilizando AI herramientas para efectos de la vigilancia.
En todo el país, de 400 millones de cámaras de CCTV son ya in situ, alimentado por AI tecnologías, principalmente el reconocimiento facial.
11. AI Applications in Agriculture
Artificial Intelligence is used to identify defects and nutrient deficiencies in the soil.
Esto se logra a través de la visión por computador, robótica, y la máquina de aprendizaje de aplicaciones, AI puede analizar donde las malas hierbas están creciendo.
La IA de los bots pueden ayudar a la cosecha de los cultivos a mayor volumen y ritmo mayor que el de los trabajadores.
La agricultura es un área que requiere de varios recursos, mano de obra, dinero, y tiempo para el mejor resultado. Ahora, un día en la agricultura se está convirtiendo en digital, y AI está surgiendo en este campo.
La agricultura es la aplicación de la IA como la agricultura, la robótica, sólido y de vigilancia de los cultivos, el análisis predictivo. AI en la agricultura puede ser muy útil para los agricultores.
12. Aplicaciones de la AI en el Juego
Otro sector en el que las aplicaciones de la Inteligencia Artificial han encontrado protagonismo es el sector del juego. La IA puede ser utilizado para crear inteligente, humana-como los NPCs para interactuar con los jugadores.
También puede ser usado para predecir el comportamiento humano mediante el cual el diseño del juego y las pruebas pueden ser mejorados.
El Extranjero de Aislamiento de los juegos lanzados en 2014 utiliza AI a perseguir a los jugadores durante el juego. El juego utiliza dos en la Inteligencia Artificial de los sistemas de 'Director de AI', que con frecuencia se conoce su ubicación y el 'Alien AI,' impulsada por los sensores y los comportamientos que de forma continua la caza del jugador.
La IA puede ser utilizado para juegos. La IA de las máquinas se puede jugar a juegos estratégicos como el ajedrez, donde el equipo debe pensar en un gran número de lugares posibles.
13. Aplicaciones de la AI en los Automóviles
La Inteligencia Artificial es utilizado para construir la auto-conducción de vehículos. La IA puede ser utilizado junto con el vehículo de la cámara del radar, servicios en la nube, GPS, y las señales de control para operar el vehículo.
AI se puede mejorar el vehículo de la experiencia y dar adicionales, como los sistemas de frenado de emergencia, monitoreo de puntos ciegos, y a cada conductor, dirección asistida.
Algunas de las industrias de la Automoción está utilizando AI para proporcionar virtual assistant a su usuario para un mejor rendimiento. Como Tesla ha introducido TeslaBot, un inteligente asistente virtual.
Diversas Industrias están trabajando actualmente para el desarrollo de la auto-conducido coches que pueden hacer su viaje más seguro y seguro.
14. AI en el mundo del Entretenimiento
Actualmente estamos utilizando algunos AI aplicaciones basadas en nuestra vida diaria con algunos servicios de entretenimiento como Netflix o Amazon. Con la ayuda de ML/algoritmos, estos servicios muestran las recomendaciones para los programas o espectáculos.
El espectáculo, con la llegada de los servicios de streaming en línea como Netflix y Amazon Prime , se basa en gran medida en la información recopilada por parte de los usuarios.
Esto ayuda con las recomendaciones basadas en la previamente el contenido visto. Esto se hace no sólo para ofrecer una precisa sugerencias, sino también para crear contenido que pueda ser del agrado de la mayoría de los espectadores.
Con el nuevo contenido que se crea a cada minuto, es muy difícil clasificar a ellos y hacerlos más fáciles de buscar. AI herramientas de analizar el contenido de los videos cuadro por cuadro e identificar los objetos a la función de las etiquetas apropiadas. AI es, además, ayudar a las compañías de medios para formar la toma de decisiones estratégicas.
15. Aplicaciones de la AI en los Medios Sociales
Los sitios de Medios sociales como Facebook, Twitter y Snapchat contienen miles de millones de perfiles de usuario, que deben ser almacenados y gestionados de una manera muy eficiente. AI se puede organizar y gestionar grandes cantidades de datos. AI se puede analizar gran cantidad de datos para identificar las últimas tendencias, los hashtags, y los requerimientos de los diferentes usuarios.
Instagram
En Instagram, AI considera que sus gustos y de las cuentas que debes seguir para determinar qué mensajes que se muestran en la ficha explorar.
Facebook
La Inteligencia Artificial también se utiliza junto con una herramienta llamada DeepText. Con esta herramienta, Facebook puede comprender conversaciones mejor. Puede ser utilizado para traducir los mensajes de los diferentes idiomas de forma automática.
Twitter
AI es utilizado por Twitter para la detección de fraudes, la eliminación de la propaganda, y el odio contenido. Twitter también utiliza AI recomendar tweets que los usuarios puedan disfrutar, con base en el tipo de tweets que se relacionan con el.
16. Aplicaciones de la AI en la Comercialización de
La inteligencia Artificial (IA) de las aplicaciones en el marketing de dominio así.
  • El uso de la IA, los vendedores pueden ofrecer muy específica y personalizada anuncios con la ayuda de análisis de la conducta, reconocimiento de patrones, etc. También ayuda con la reorientación público en el momento adecuado para garantizar mejores resultados y reducción de los sentimientos de desconfianza y molestia.
  • AI puede ayudar con el marketing de contenidos en una forma que coincida con el estilo de la marca y de la voz. Puede ser utilizado para manejar las tareas de rutina como de rendimiento, informes de la campaña, y mucho más.
  • Chatbots alimentado por AI, Procesamiento del Lenguaje Natural, Lenguaje Natural, Generación de Lenguaje Natural y de la Comprensión puede analizar el lenguaje del usuario y responde de la forma en que los humanos.
  • AI se puede proporcionar a los usuarios en tiempo real personalizaciones basadas en su comportamiento y puede ser utilizado para editar y optimizar campañas de marketing para adaptarse a un necesidades del mercado local.
17. AI en Viajes y Transporte
AI se está volviendo muy exigente para los viajes industrias. AI es capaz de hacer varios viajes relacionados con obras como hacer arreglos de viaje a lo que sugiere la hoteles, vuelos y las mejores rutas para los clientes. El viaje de las industrias están utilizando la función AI-powered chatbots que puede hacer humano como la interacción con los clientes para una mejor y rápida respuesta.
18. Aplicaciones de la AI en Chatbots
AI chatbots puede comprender el lenguaje natural y responder a las personas en línea que utilizan el "live chat", característica que muchas organizaciones para proporcionar servicio al cliente. AI chatbots son eficaces con el uso de la máquina de aprendizaje y puede ser integrado en una variedad de sitios web y aplicaciones.
AI chatbots, eventualmente, puede crear una base de datos de respuestas, además de extraer información a partir de una selección establecidos integrado de respuestas. Como AI sigue mejorando, estos chatbots puede resolver de forma eficaz los problemas de los clientes, responder a simples preguntas, mejorar el servicio al cliente, y proporcionar soporte 24/7. Con todo, estas AI chatbots puede ayudar a mejorar la satisfacción del cliente.
19. Aplicaciones de la AI en Banca y Finanzas
AI evolucionado la tecnología puede ayudar a mejorar una amplia gama de servicios financieros. Se ha informado de que el 80 por ciento de los bancos de reconocer los beneficios que la IA puede proporcionar. Si se trata de finanzas personales, finanzas corporativas, o de consumo de las finanzas, la tecnología evolucionada que se ofrece a través de IA puede ayudar a mejorar significativamente una amplia gama de servicios financieros.
Por ejemplo, los clientes que buscan la ayuda con respecto a la riqueza de soluciones de gestión puede obtener fácilmente la información que necesitan a través de la mensajería de texto SMS o chat en línea, todos los AI-powered.
La inteligencia Artificial también puede detectar cambios en los patrones de transacciones y otros posibles indicadores que pueden significar el fraude, que los seres humanos fácilmente se puede perder, y por lo tanto el ahorro de las empresas y a los individuos de una pérdida significativa. Aparte de la detección de fraude y automatización de tareas, la IA puede también predecir mejor y evaluar préstamo de riesgos.
AI y finanzas industrias son los mejores partidos para cada uno de los otros. La industria financiera es la implementación de la automatización, chatbot, inteligencia adaptativa, capital de riesgo, el algoritmo de la negociación, y el aprendizaje de máquina en los procesos financieros.
Relacionado: la parte Superior de la Inteligencia Artificial empresas en el Reino Unido
20. AI en la Seguridad de los Datos
La seguridad de los datos es crucial para todas las empresas y de los ataques cibernéticos están creciendo muy rápidamente en el mundo digital. La IA puede ser utilizado para hacer tus datos a salvo y seguro. Algunos ejemplos como el de la AEG bot, AI2 de la Plataforma, se utilizan para determinar los errores de software y de los ataques cibernéticos de una mejor manera.
21. AI Militar
Varios países están implementando AI aplicaciones militares. Las principales aplicaciones de mejorar el mando y control, comunicaciones, sensores, la integración y la interoperabilidad. La investigación se dirige a la inteligencia, de recopilación y análisis de la logística, las operaciones cibernéticas, operaciones de información, y semiautónomas y vehículos autónomos.
AI tecnologías que permiten la coordinación de los sensores y efectores, la detección de amenazas y la identificación, marcado de las posiciones enemigas, adquisición de objetivos, la coordinación y la armonización correcta de la distribución Conjunta de los Incendios entre la red de combate que involucran vehículos tripulados y no tripulados de los equipos. AI fue incorporado en las operaciones militares en Irak y Siria.
A nivel mundial anual de los gastos militares en la robótica aumentó de US$5.1 mil millones en 2010 a US$7.5 millones de dólares en 2015. Militar de drones capaces de acciones autónomas en uso de ancho. Muchos investigadores de evitar aplicaciones militares.
Aunque esto a menudo es de ninguna manera una lista exhaustiva, pero probablemente el más plausible en el futuro cercano. Vamos a esperar y ver cómo AI alteraría las diferentes industrias. Como resultado, esto puede transformar el carácter del trabajo y por lo tanto el lugar de trabajo.
¿Está usted de acuerdo con nuestra lista de Aplicaciones de la Inteligencia Artificial? Creo que hemos perdido algo importante? O ¿tienes alguna pregunta para nosotros? Siéntase libre de compartir con nosotros en la sección de comentarios de este artículo. Estaríamos encantados de saber de usted!
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"Artificial intelligence (AI) is no longer confined to mere automation; it is now an active participant in the pursuit of knowledge and understanding. However, in the realm of scientific research, the integration of AI marks a significant paradigm shift, ushering in an era where machines and human actively collaborate to formulate research hypotheses and questions. While AI systems have traditionally served as powerful tools for data analysis, their evolution now allows them to go beyond analysis and generate hypotheses, prompting researchers to explore uncharted domains of research..."
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Hi, I am preparing my research study on clinical learning environment among nursing students which I needs the clinical learning environment inventory from Mikko Saarikoski. However, her email address can't go through. Can anyone help me out? Thanks.
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Although this is late reply, it may help many aspirants.
To obtain permission to use the Clinical Learning Environment Inventory (CLEI), you will typically need to follow these steps:
1. Identify the CLEI: Determine which version of the CLEI you are interested in using. The CLEI is a validated tool that has been developed and published by researchers. There may be different versions or adaptations of the CLEI, so make sure you are aware of the specific version you want to use.
2. Contact the Authors or Copyright Holder: Reach out to the authors or copyright holder of the CLEI to request permission for its use. The contact information for the authors or copyright holder can usually be found in the original publication where the CLEI was introduced. If you are unsure about who to contact, you can try reaching out to the corresponding author listed on the publication.
3. Request Permission: Write a formal request to the authors or copyright holder, explaining the purpose of your study or project and how you plan to use the CLEI. Be specific about the details of your research, such as the population, setting, and intended outcomes. Clearly state that you are seeking permission to use the CLEI and include information about the duration of data collection, number of participants, and any planned modifications to the instrument (if applicable).
4. Provide Supporting Documents: Attach any supporting documents or materials that may be requested by the authors or copyright holder. This could include your research proposal, study protocol, or ethics approval documents, depending on the requirements set by the authors or copyright holder.
5. Wait for Response: After submitting your request, patiently wait for a response from the authors or copyright holder. The response time may vary, so it's important to plan ahead and allow sufficient time for the permission process.
6. Obtain Permission Agreement: If your request is approved, you will typically receive a permission agreement or license from the authors or copyright holder. This agreement will outline the terms and conditions for the use of the CLEI, including any restrictions, citation requirements, and potential fees (if applicable). Review the agreement carefully and comply with the specified terms.
It's crucial to note that the process and requirements for obtaining permission may vary depending on the specific version of the CLEI and the preferences of the authors or copyright holder.
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Certainly! The constructivist learning theory approach, when integrated with innovative technology in the classroom, emphasizes the learner's active role in the process of acquiring knowledge and understanding. It builds on the idea that learners construct their own meaning and knowledge through their experiences, interactions, and reflections. When combined with innovative technology, this approach transforms the learning environment and experiences.
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Dear Dr. Dubey!
I want to bring in new value to the answers by Dr. Norman above, so below you find case studies relevant to the context you specified above:
1) Kim, M., Adlof, L. Adapting to the Future: ChatGPT as a Means for Supporting Constructivist Learning Environments. TechTrends (2023). https://doi.org/10.1007/s11528-023-00899-x, Free access:
2) Abedi, E.A. Tensions between technology integration practices of teachers and ICT in education policy expectations: implications for change in teacher knowledge, beliefs and teaching practices. J. Comput. Educ. (2023). https://doi.org/10.1007/s40692-023-00296-6, Open access: https://link.springer.com/article/10.1007/s40692-023-00296-6
3) Farhad Seraji, Hodolsadat Musavi, Does applying the principles of constructivism learning add to the popularity of serious games? A systematic mixed studies review, Entertainment Computing, Volume 47, 2023, https://doi.org/10.1016/j.entcom.2023.100585. Available at: https://www.sciencedirect.com/science/article/abs/pii/S187595212300040X4) Irina Gurevich & Mercedes Barchilon Ben-Av (2023) How do students assess the impact of integrating digital technologies on the mathematics classroom?, International Journal of Mathematical Education in Science and Technology, 54:7, 1288-1297, DOI: 10.1080/0020739X.2023.2179949 Available at:
Yours sincerely, Bulcsu Szekely
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I would like to simulate a student learning environment using Monte Carlo, where we can see how the variables related to learning influence students in order to determine the optimal combination of variables for their learning
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Why you want to use Monte Carlo code?
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What is hybrid STEM learning environment design?
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A hybrid STEM learning environment design combines both in-person and online elements to create a flexible and effective learning experience for students in the fields of Science, Technology, Engineering, and Mathematics (STEM). The Key aspects of the STEM learning environment are
Blended learning.
Technology integration,
Flexibility
Synchronous and Asynchronous Learning
Hands-on experiences
Assessment strategies
Collaboration
Accessible resources
Instructor training
Continuous Evaluation
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The educational resources used in today's learning environment, such as artefacts and digital gadgets, can readily and frequently distract students. As a result, we are exploring a potential strategy for determining when a learner is disengaged from the learning process.
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Here are some potential metrics that could be used to gauge student engagement in a digital learning environment:
Time spent on task: Tracking the amount of time a student spends on a particular task or activity can provide insight into their level of engagement. If a student quickly moves on to a new task or spends very little time on a task, it may indicate disengagement.
Participation in online discussions: If there are online discussion forums or chat rooms in the digital learning environment, tracking a student's level of participation in these discussions can provide an indication of their engagement level.
Completion rates: Tracking the completion rates of assignments, quizzes, or other learning activities can provide insight into a student's level of engagement. If a student consistently fails to complete assignments or activities, it may indicate disengagement.
Feedback and assessment results: Monitoring a student's feedback and assessment results can provide an indication of their level of engagement. If a student is consistently receiving low scores or negative feedback, it may indicate disengagement.
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Inclusive Pedagogy
Promoting Equity
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Creating learning environments like this isn't something that educators cna do on their own. I think that adopting participatory design practices and reading up on learning experience design (LXD) should be the first things you do.
The actual process of creation/design should start with clearly understanding what "inclusion", "equity", and "academic success" look like in your context. Educators get themselves in trouble when applying broad practices without considering context. I'd also recommend taking some time to develop a theoretical foundation for one's practice. It might seem unnecessary, but grounding practice in theory can reveal paths to accomplish the goals you mention in ways that might otherwise not be obvious.
I'd recommend taking a look at various scholars in education, especially bell hooks, Raewyn Connell, and Henry Giroux as good places to start.
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We are interested in hearing your thoughts on the services that would make your academic journey more engaging, convenient, and supportive. Consider services that could leverage technology, promote career development, prioritize mental health and well-being, foster a sense of community, or address any other aspect you believe would enhance your experience as a student.
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I have loved my post graduate studies, I am taking part in an overseas placement, I get free gym membership and Studiosity free access is an addition to support my writing, and the library digital access services are great. Anything that can offer balance and improve well being. Alongside knowledgeable and committed lecturing staff.
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Certainly! This question is about how educators can create an inclusive and equitable learning environment that supports the success of all learners, regardless of their individual differences, such as learning styles, cultural backgrounds, and abilities.
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Dear Ms. Younis!
You spot a very important point. The answer is case - and context-dependent one:
1) Walton, E., Osman, R. (2022). Pedagogical Responsiveness in Complex Contexts. In: Walton, E., Osman, R. (eds) Pedagogical Responsiveness in Complex Contexts. Inclusive Learning and Educational Equity, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-031-12718-2_1, Available at:
2) Abdulrahman, H.K. (2022). Teaching to Inform, Form and Transform: Pedagogical Responses of An(other) Way of Knowing – The Almajiranci System of Northern Nigeria. In: Walton, E., Osman, R. (eds) Pedagogical Responsiveness in Complex Contexts. Inclusive Learning and Educational Equity, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-031-12718-2_9, Available at:
3) A case study: C Meniado, J. (2023). Sustaining Inclusive, Equitable, and Accessible Language Education in a COVID-19 Endemic World. RELC Journal, 54(1), 3–6. https://doi.org/10.1177/00336882231157495, Free access:
Yours sincerely, Bulcsu Szekely
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ChatGPT suggested: Here are some journal papers that describe validated instruments for measuring curriculum flexibility in blended learning.
I can't find the paper below in any online database not even from my institutional account. Please help me!
  1. Ananthanarayanan, V., & Kolasani, K. R. (2020). Development and validation of an instrument to measure curriculum flexibility in blended learning. Journal of Educational Technology & Society, 23(1), 134-144.
  2. Haider, S., & Naghdi, S. (2021). Development and validation of an instrument to measure curriculum flexibility in blended learning environments. International Journal of Emerging Technologies in Learning (iJET), 16(2), 164-178.
  3. Xie, K., Chen, Y., & Lin, T. (2020). Measuring curriculum flexibility in blended learning: development and validation of a scale. Journal of Educational Computing Research, 58(5), 1163-1181.
  4. Jiang, S., Liu, M., & Zhang, W. (2021). Validating a scale for measuring curriculum flexibility in blended learning. International Journal of Emerging Technologies in Learning (iJET), 16(4), 55-71.
  5. Lin, J., Li, Y., & Li, Y. (2020). Development and validation of an instrument for measuring curriculum flexibility in blended learning. Education and Information Technologies, 25(6), 5135-5148
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Well, ChatGPT sometimes fabricates sources and references. These papers probably don't exist.
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The substantial expenditures necessary to sustain smaller classes are justified by the belief that smaller classes increase student learning. On a larger scale does this have an impact of the environment?
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From my personal experience, a smaller size of class population enables the instructor to pay attention to each and every student, especially during tutorial or practical sessions. Every student could be approached, monitored and interaction between learners and instructor could be easily fostered.
A study conducted by Zhao, Kuh, and Carini (2005) compared the experiences of students in small classes in a Chinese university with those in large classes in a U.S. university. The findings suggested that students in the small classes in China reported higher levels of engagement and interaction with their professors, and that these factors were positively related to their academic performance. The study also found that smaller class sizes were associated with higher levels of student satisfaction and lower levels of academic stress.
Zhao, C. M., Kuh, G. D., & Carini, R. M. (2005). A comparison of small classes in China and large classes in the United States. Research in Higher Education, 46(5), 471-494.
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Do you consider connectivism the new paradigm of learning and how does it affect constructivism in the contemporary digital learning environment?
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Thank you very much for your contribution! Do you think we may look for a synergetic approach in terms of behaviorism-cognitivism-constructivism-connectivism? Or it is more appropriate to stick only to connectivism?
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Hello, colleagues, could you please help me understand what the conditions are necessary to fulfil for creating a smart learning environment? Thanks.
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I like your response, Stylianos. It says what I was trying to say with far fewer words! "Deep, meaningful learning" leading to "personal or professional transformation" and, most meaningful, "successful skills transfer." Thank you for sharing!
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In my research, I need to identify students with low metacognitive skills (regulation). There are lots of methods. But I need to find a method for digital environment.
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I suggest you build your own scale
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I am interested in conducting a research paper in the field of acquiring health awareness via an e-learning and/or m-learning environment!
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Yes, interested. Who are the learners? - students at university? the public?
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Please provide your opinion on this question.
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Prof. Ajay Kumar
Project-based learning could be a good start in STEM subjects.
I used it a couple of times, one project to be presented at the end of the term gave good results for the intermedium stat physics course. That was a face-to-face learning course.
Best Regards.
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Jan Jansen Please see the messages!
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I am trying to implement DDOS attack detection in SDN network using reinforcement Learning algorithm, for this task I want to define my state space of Reinforcement Learning environment in the form of flow entries of the flow table,but I am unable to represent it properly ? Can somebody provide a little guidance of doing it ?
Thanks and regards
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Ali El Kamel thank you so much sir, I will go through this paper and let you know
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We are planning to develop inclusive learning materials for a flexible learning environment in higher education, and we are looking for an appropriate framework. Do you have any suggestions?
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أوافق ذلك
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COVID-19 has had a significant impact on the educational sector, resulting in a shift from face-to-face to a decentralized learning environment, creating a unique opportunity for network-based academic dishonesty. Prior research has shown that during the COVID-19 pandemic, students engaged in network-based academic dishonesty as a consequence of the breach of weak and legacy software programs that monitor network-based academic dishonesty.
Are the current mitigation techniques for preventing network-based academic dishonesty well-designed? What are your thoughts on the matter?
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Students' formal certification and graduation in cases of utilizing online learning fraud are obvious economic and moral crimes. Countries' laws should be corrected to take into consideration of this upcoming global trend. Yet, it's a sort of a fraud utilizing cybercrime methods, leading to criminalization of the entire educational process. That should be suppressed by all possible, available technical means.
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Recommendations of any kind for XR; VR; AR would help me a lot. Thank you very much for your help!
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Dear Mr. Bükers!
I would go for "Its Learning":
2) A case-study: Joel Smith 2021. Isle of Man endorses hybrid learning as the way forward following 3 lockdowns, June 16, 2021, available at: https://itslearning.com/uk/news/hybrid-learning-is-the-way-forward/
Yours sincerely, Bulcsu Szekely
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I am doing a project for the final module of my degree with the OU, and looking at the relationship between epistemological beliefs and peoples attitudes towards constructivist online learning environments. I have managed to locate a sample epistemological beliefs questionnaire but struggling to find the full list of questions on the CLES. Could anybody point me in the right direction please? Thanks
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Thank you all for your assistance! It's greatly appreciated
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What machine learning or AI techniques can be used to detect and mask sensitive information in a semi-structured or unstructured dataset.
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جزيل الشكر
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I recently shifted my classes to more natural lighting and noticed that the students are calmer and have become more focused on tasks. I know there is research out there that explains this; however, I'm curious why Fluorescent lighting causes some students to become unfocused without even noticing because of the brightness. Also, if this makes a big difference, why haven't many schools moved towards this shift in classroom design.
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Please check the following external link for an expert opinion:
Personally, I guess, that lighting in the classroom and even in Videos or the background in LMS courses, of course, influences our learning skills and interest in the particular course.
At my university in Venezuela, the first old science building (built 40 years ago) has huge windows, not walls, & students always were focused. Look at picture 1. No lights were needed sometimes, with perfect natural light from the sun my classes were followed by mostly all students, despite it was the difficult subject of statistical physics.
A new math building (picture 2) a few years (built 10 years ago) ago has almost less than half of the natural illumination of the old one, and we always needed fluorescent long light bulbs, I noticed that students who took my courses in that building concentrated less and half did not go to lectures, so I tried always to get a classroom for my lectures in the old building.
Best Regards.
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Covid-19 have changed the learning at all levels and impacted social fabrics and mental state of many students and learners worldwide. As a result, the educators are challenged to provide the best learning methodologies and technologies to make sure that every students is motivated and has a best learning experience. New Learning management systems like EDORER are emerging bringing the e-learning to the next level while facilitating the most effective teaching, learning, proctoring and collaborative educational environment. The EDORER was built for Educators by EdTech Educators. The EDORER is everything the modern digital educator needs: live classrooms, online courses, proctored exams, mentoring and more in a collaborative learning environment.
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التاكيد على توفير بيئة متكاملة من جميع النواحي
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I am currently using rubrics to assess the learning outcomes of practical applications in a lab environment. I am trying to find ways to remove the subjectivity of the assessment. Any ideas?
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Removing subjective errors.
Aggregating subjective information.
Reducing researcher’s bias.
Ensuring falsifiable information.
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Strategies or Approaches of Learners in Answering Self-Learning Modules in a Modular Learning Environment
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Dear Mr. Jerez!
I found a publication where you can see a student feedback questionnaire:
Rajabalee, Y.B., Santally, M.I. Learner satisfaction, engagement and performances in an online module: Implications for institutional e-learning policy. Educ Inf Technol 26, 2623–2656 (2021). https://doi.org/10.1007/s10639-020-10375-1 Free access:
2) A case-study: Öztürk, M., Çakıroğlu, Ü. Flipped learning design in EFL classrooms: implementing self-regulated learning strategies to develop language skills. Smart Learn. Environ. 8, 2 (2021). https://doi.org/10.1186/s40561-021-00146-x Open access:
Yours sincerely, Bulcsu Szekely
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"THIS IS AN ABSOLUTELY SCIENTIFIC QUESTION"
Throughout the historical evolution of relationship between professor and student, there have always been important changes to adapt teaching and learning environment related to place, form, structure and didactics.
Based on this, what is your scientific opinion about the future of teacher's relationship with student, especially regarding structure and way of teaching?
PLEASE ANSWER IN ENGLISH ONLY .
VERY IMPORTANT: Participate only if you are original, be yourself give your opinion, do not put links or texts from "Genio Google" or things found out there on the web! No one has any interest in stupid web answers, if that's the case, please be so kind as to ignore this debate!
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Dear Prof. Filipe Wiltgen, you ask a very interesting question.
This is my answer / how I understand your question :
There is no doubt that the integration of new technologies in schools and universities is thoroughly modifying the pedagogy and the curricula.
ICTE is also changing the paradigm of teaching and learning.
Professors are no longer the only ones who know because knowledge is available online. They must boost the creativity of the students and bring them human values because technology will bring a lack in this particular and important area.
However because he/she has (normally) more experience than his/her students, a professor will always have the advantage to be the one who gives directions and advices to his/her students.
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We are investigating the impact of online learning environment on sustained attention and student engagement among undergraduate students (Year 1-3).
We had the participants watch a lecture video and answer multiple choice questions related to the content of the video. We also had them fill an engagement questionnaire which had questions about their involvement with peers and various university related activities.
Hypothesis I - 1st year students are able to focus more over a long period of time than 2nd and 3rd year students.
Hypothesis II - 1st year students actively participate and are more engaged with peers than 2nd and 3rd year students.
My questions are:
1. What statistical test would be most appropriate?
2. How do I set a value to prove significance...for example they had 13 MCQ questions, how do I know what number of questions they need to have answered correctly in order to say they paid more attention?
I'm very lost, i'd appreciate your help and any remarks that could provide me some clarity.
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Are you familiar with the expression, "getting the cart before the horse"? I'm afraid that's what you're facing. If so, that's not an impossible situation, but it can be a daunting one. Deciding what statistical analysis you will use is normally part of the research design, so you are sure that the data you gather can be analyzed in a way that will answer your research questions. that is normally done before you begin any data collection. I agree with what MOST of the others have recommended, but you cannot apply ANOVA, for example, unless you have quantitative data, and you did not describe the data you received from the surveys. If you solicited qualitative answers to the survey questions, you cannot apply quantitative statistical analysis to it. You will have to quantify that data or apply qualitative data analysis methods to it and have a blended study. There is nothing wrong with having a blended study, but is is more complex than a qualitative or quantitative one. You may need someone on site who can actually see what you did to help you sort it out. I wish I were there! I'd love the challenge!
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Instruction is a systematic process in which every component (i.e. teachers, students, materials, and learning environment) is crucial to successfully learning (Dick & Carey, 1996). Instruction deals with teaching and learning activities. These activities should assist students to learn knowledge and move this knowledge from short term memory to long term memory. To do that, students need to learn how to rehearse, encode, process and feedback new knowledge to be able to remember when they need.
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To appraise the education level firstly, and develop an accessible set of stages that enables incremental steps to be achievable.
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I am in process on writing a project on middle school children and the effects of remote / online learning environment on English as a foreign language with an emphasis on communicative teaching and the development speaking / listening competences in children aged 10-12.
This is a rather new field - at least in a Danish context - so, what can you recommend as supporting studies for this project?
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There are important articles such as:
Hash, P. M. (2021). Remote learning in school bands during the COVID-19 shutdown. Journal of Research in Music Education, 68 (4), 381-397.
Hobbs, T. D., & Hawkins, L. (2020). The results are in for remote learning: It didn’t work. Wall Street Journal, 5.
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This question is related to the Global citizenship education (GCE):
How are researchers and educators conceptually redefining GCE in the learning environment of national higher education institutions (HEIs), educating youth on globalization and global challenges, and harmonizing the concepts and perceptions of national and global citizenship?
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Interesing
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Dear All,
Is there anyone who have a book or research paper addressing specific features of blended learning environments? or you just let me know features of blended learning environments!
Kindly share with me!
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Looks like now blending learning will be the new normal in education according to some authors, Prof. Haruni Machumu
Please check the following external post and graph:
https://blog.edx.org/blended-learning-new-normal
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Dear colleagues, please tell me how you control the academic integrity of your students in a distance and blended learning environment?
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Prof. Oleksii Nalyvaiko, in Moodle a quiz access rule, was created by Prof. T. Hunt at the Open University.
Documentation about this Moodle plugin that helps to keep academic students integrity at:
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In teaching we use different techniques and tools for making it interesting but how can we make it more innovative and creative?
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Your answer is distinctive and interesting
@
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Hello,
for my master project, I would like to conduct a latent profile analysis about self-regulated learning skills. I would like to take two different measures into account when creating the profiles.
1. The students' self-reported questionnaire data regarding their SRL skills
2. Trace data I obtained when students interact with the learning environment
How can I use both of these sources of data to create richer profiles?
Thank you in advance,
Carl
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I completely agree with Carl Klukkert
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How important is collaboration in this current period of blended learning? Specifically within a professional development capacity.
Seeking insight and reading for my MA project
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Hi@Joe. Professional development always has a collaborative approach. Rather I will say when we talk about professional development capacity the first thing focused is collaborative approach and team work. Blended learning will create more opportunities for collaboration.
Regards
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Examples would be great. Thanks
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yes I Interested
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The digital transformation of learning environments affords the Bring Your Own Device (BYOD) option for students. But, what arrangements (e.g., policy and tech support) are in place at your University in facilitating this option and how is the implementation working for you?
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In my university none, Dear Prof. Debra Sharon Ferdinand-James. Authorities were interested in politics more than in investing in IT infrastructure. New Dean offices for his assistants, new computers, new furniture. A disgrace that nobody complained, now it is too late.
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The Canadian Institute of Mass Communication (CIMCweb.com) is embarking on a pilot project to create language-barrier-free learning environment for deaf students, as a scalable model for Inclusive Education. The prototype system would utilize relevant available technologies, including HamNoSys/SiGML programming and Applied Artificial Intelligence. Contact santosh.shail@CIMCweb.com.
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Congratulations for this great project of the Canadian Institute of Mass Communication (CIMCweb.com). In Brazil, we developed the Hand Talk app. This is a revolutionary app for the deaf community. Representing an accessible solution, the app was acknowledged around the globe for its innovation and potential. The startup has won a number of awards including the Best Social App of the World in 2013, handed by UN at the World Summit Mobile Award, in Abu-Dhabi.
Best regards,
Carlos Alberto da Silva Júnior
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Dear researchers,
if you are you interested in research on efficient autonomous vehicles, I have something new for you.
We have just launched our new open source reinforcement learning environment. Here you can find it: https://github.com/dynamik1703/gym_longicontrol
Our new environment is in the field of autonomous driving. It offers the possibility to test and further develop algorithms for the efficient longitudinal control.
The longitudinal control problem has various challenges. One example is the trade-off between conflicting goals of travel time minimization and energy consumption. They contradict each other because a fast driving vehicle leads to high-energy consumption and vice versa.
Through the proposed RL environment, which is adapted to the OpenAi Gym standardization, we show that it is easy to prototype and implement state-of-art RL algorithms. Besides, the LongiControl environment is suitable for various examinations. In addition to the comparison of RL algorithms and the evaluation of safety algorithms, investigations in the area of Multi-Objective Reinforcement Learning are also possible. Further possible research objectives are the comparison with planning algorithms for known routes, investigation of the influence of model uncertainties and the consideration of very long-term objectives like arriving at a specific time.
LongiControl is designed to enable the community to leverage the latest strategies of reinforcement learning to address a real-world and high-impact problem in the field of autonomous driving.
Have fun trying it out! If you have any questions, feel free to write.
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An innovative environment is one that is capable of evolving and adapting as educational practices evolve and change.
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To kindle innovative intent, organizations need to stop counting on people succeeding despite the odds and instead shift the odds. There are three inseparable and mutually reinforcing ways to take innovation seriously: they pertain to values, resources, and processes. The first perspective admits that, barring the odd maverick, personnel will not innovate without license: an innovative culture needs pro-innovation governance and support from the top to make sure ideas take carriage. The second agrees that, because a resource is something from which an organization gains profit, assigning precisely that will put innovation at the heart of strategy and equip it. The third declares that, since a business process begins with a mission objective and ends with its achievement, endowing an organization with management, operational, and supporting processes that improve knowledge brokering of ideas from generation to selection, implementation, and diffusion will serve the goal of innovation.
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  • Effective models for conducting a research in learning analytics in an online learning environment
  • Teaching and learning theories associated with learning analytics
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@ Yaw Boateng Ampadu You need to understand that the application of data mining techniques and machine learning algorithms for the collection, wrangling, cleansing, storage and analysis from online sources requires an approach quite different from traditionally known research methods such that there is no need for Hypothesis testing, randomised design and so on. Instead, the collected and cleansed data is allowed to do the talking.
The beautiful thing about big data analytics (collection and analysis of large volumes of data from online sources, databases and data warehouses) is that you can rephrase, reshape and review your research questions in the course of the research work. I hope that I have answered your question in my own little way.
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Over the next month many academic institutions will be moving all learning online. As scientists, we are often used to being able to demonstrate difficult concepts in the real world to emphasize points from classroom lessons. Watch the pencil, feather, and bowling ball all drop at the same speed, etc. Watch the gears mech and spin at different speeds. See density and buoyancy reflected in multilayer float stacks. This shift may present great difficulties for students and instructors used to a different learning environment.
For twenty+ years we've promised a shift to online learning and resources to aid understanding. Now it's become a necessity. Every department in every college has weeks for professors to develop online solutions. I believe these online forums are an excellent opportunity for us to share the resources we have found the most useful/valuable so that other instructors and students can continue to learn in a new environment.
So, from Calculus, to Physics, to Chemistry, to Biology, to the various flavors of Engineering, what online resources have you found to be the most effective tool for visualizing a learning concept?
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Best free, online Physical/Chemical/Engineering visualization resources?
Over 15 resources are listed in this resource, answering your question.
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The research project will be illuminate by this generalization: Teaching practices developed by professors to combining informal learning at web 2.0 with formal learning at higher education courses, it corresponds with liquid and connective education phenomenon, because of teachers act like content curators trying to extend the learning to real contexts, combining structured and unstructured teaching activities.
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There are some thoughts...
Bugawa, A. M., & Mirzal, A. (2018). The impact of Web 2.0 technologies on the learning experience of students in higher education: A review. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 13(3), 1-17.
Kompen, R. T., Edirisingha, P., Canaleta, X., Alsina, M., & Monguet, J. M. (2019). Personal learning Environments based on Web 2.0 services in higher education. Telematics and Informatics, 38, 194-206.
Gyamfi, S. A. (2017). Informal tools in formal context: Adoption of web 2.0 technologies among geography student teachers in Ghana. International Journal of Education and Development using ICT, 13(3).
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How will 4IR technologies exponentially continue to grow rapidly in contact, blended and open distance learning spaces? In view of this, how will the 4IR impact on these teaching and learning spaces, to support students’ personalised learning. In addition, the new 4IR technologies and Yusuf and Nur (2019) claim is, challenging notions of online pedagogy, in particular the processes involved in “flipping or inverted or ubiquitous” the settings, and how students learn in contact, blended or open distance learning environments. How will we embrace the 4IR paradigm in a socially sustainable way? How will the 4IR to transform and rethink the existing praxis and curricula?
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Cognition (artificial and natural), cognitive science and learning processes (autopoeisis) will be paramount; professions and disciplines will face a full cognitive shift (data---information---knowledge---wisdom as a learning circuit).
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Currently, I am working on a plan for action reserach within vocational education. It will be participatory AR on a framework or guidelines for teachers when working with students within a hybrid learning environment. I struggle somewhat with finding the right amount of detail in my plan: enough to get going and not too much (otherwise there is no room left for AR).
So, what are some do & dont's on a plan, regarding:
- research question (a general one or several or ..)
- detail of the research instruments
- documentation of the plan (one version, multiple, ongoing...)
What are your toughts?
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Maurice - I would recommend an 'overarching' question for AR. It allows the flexibility to expand. The 'plan' is complex and needs to be able to expand.
The attached chapter is generic in terms of AR principles.
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Dear research community,
I am in search for review studies that summarize the issues different kinds of online learning environments (MOOCs, SPOCs, flipped classrooms) face. I would be happy to draw from your knowledge in the field by receiving some hints!
Greetings,
Tobias
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Check these articles, it may help you
Anshari, M., Alas, Y., Hj Mohd Yunus, N., Pg Hj Sabtu, N. & Sheikh Abdul Hamid, M. (2016). Online Learning: trends, issues and challenges in the Big Data Era. Journal of e-Learning and Knowledge Society, 12(1),. Italian e-Learning Association. Retrieved August 6, 2019 from https://www.learntechlib.org/p/171433/.
Karen Kear, Allan Jones, Georgina Holden & Mark Curcher (2016) Social technologies for online learning: theoretical and contextual issues, Open Learning: The Journal of Open, Distance and e-Learning, 31:1, 42-53, DOI: 10.1080/02680513.2016.1140570
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I want to learn opinions of teachers on future classes or learning environments that they think to be around in next decades. The purpose of the study will be to determine the expected qualities of future classes (a picture of future learning environments) according to teachers opinions. I am having problem in selecting the right design for it? as I am mixed in choosing grounded, case or phenomenological research.
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In my view, depending on the resources and time you have, you could plan several steps: first to start with a case study, then to use Delphi, or other expert estimation, or/and to compare teachers/students attitudes with focus groups. You even could interact on changing the educational environment with Action research.
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I teach courses in blended learning environment, and I want to keep my students active and motivated to participate and share information. What helps me to achieve this goal, to assess students' online participation or just control it.
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As both a postgraduate co-ordinator for distance taught qualifications, and a distance postgraduate student, I can understand the benefit in seeing that all students are posting something in forums and are displaying the fact that they are active participants in the course. From a student perspective, however, there isn't always something meaningful to contribute (especially if you haven't been one of the first 4-5 students to comment) and it just becomes a compliance exercise, rather than a task in which we are articultaing what we have learned.
I do think that portfolios and monitoring what materials students are accessing (and how frequently) may be a better indication of thier engagement in a course.
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When indoor ambient conditions affect or initiate certain behavior, the mechanics of this type of learning can be viewed from an environmental psychology perspective (Mehrabian, & Russell, 1974; Pati & Barach, 2010). In fact, the pressure of task performance in a compromised learning environment can cause students to rationalize the outcome their learning based on these conditions and display actions geared toward dealing with the immediate surroundings (Wechsler, 1958).
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The learning environment is much mote than just the physical characteristics of the classroom. See this paper for a discussion of many factors that are part of the learning environment. The paper is about language learning, but many of the factors apply across the curriculum, I believe.
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My research title is "Assessment of mentoring in clinical learning environment for radiotherapy students in Malaysia". Its a 5 point likert scale questionnaire ranging from strongly agree to strongly disagree. I have collected several questionnaires from previous related papers, combine some of relevant questions from there, and edited some of the question to suit my research as some papers involved nursing student instead of radiotherapy students. What is the best method to validate it and how?
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As above mentioned answers, all are helping; if questionaire has aready been used in some study and it has been passed through all sorts of validity process, and your research question is similar to the previous one then you can easily use that questionare, but if it is new one and you have developed it, then face validity(show ypour questionaire to some expert in the field or your mentor, they can check for face and content validity) Dont get confused, these things seem complex apparently but they are actually not. Then you can piolt that questionaire before conducting actual study (piloting can be done on the 10% of sample in accordance with your actual sample; but sometimes five percent sample is also used, it is stated differently in many books, but for practical purpose, piloting is good thing as sometimes what questions we have posed are comprehended by the participants differently; and if discrepancy exists what we are asking and others are answering, then questions can be modified). Peer review of your questionaire can also help; purpose of all this practice is simple as our questionaire must measure what it needs to be measured, oranges comparison must be with oranges and this process is simple but lengthy and needs careful, common sense. Expert responses on questionaire can also be halpful to see inter rater and intrarater reliability.....Good luck!
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One Congress is about
Want do you thing about models of inteligent artificial
A presença da Inteligência Artificial nos ambientes de aprendizagem e sua ubiquidade crescente em todas as esferas da nossa vida proporcionam um contexto de ecossistemas de aprendizagem cada vez mais ricos e diversificados e também mais sujeitos a desafios e tensões. A automatização de tarefas de gestão, os processos de avaliação, a oferta de conteúdos personalizados e de tutoria e feedback, os ambientes de aprendizagem com múltiplas alternativas de interação virtual são, entre outros, realidades que urge debater amplamente.
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Thanks Shafagat
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what is the impact of home or classroom learning environments on a child's academic success. If any knows any studies/ research on this topic can you please share?
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As reaserch I have seen that children with family orientation are more succesfull in lecture and writing
Ingrid