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Cognitive Load - Science topic

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Context of Learned Inattention
Learned inattention refers to a cognitive phenomenon where individuals become less responsive to stimuli that they have previously learned to ignore. This can occur in various contexts, such as during repetitive tasks or when certain cues are deemed irrelevant. Understanding the factors that contribute to learned inattention is crucial for fields ranging from cognitive psychology to education and occupational health.
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I believe that if a person remains in a constant state of anxiety, this will eventually lead to exhaustion related to the effort exerted by the brain, and thus the individual will reach a state of apathy. My regards.
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1. Context of Higher Education in Tripoli
  • The study focuses on English department instructors at universities in Tripoli, Libya.
  • AI tools such as ChatGPT, Poe, CoPilot, Grammarly, and other educational AI applications are becoming more common in academia.
  • Higher education institutions in Libya are gradually integrating technology, but institutional policies on AI use are still developing.
2. Importance of AI in Teaching and Learning
  • AI tools can assist instructors with grading, lesson planning, content generation, and providing feedback to students.
  • AI-powered chatbots and tutoring systems help enhance student engagement and personalized learning experiences.
  • AI can support research by automating literature reviews, summarization, and citation management.
3. Key Aspects to Investigate
  • Perspectives of instructors: How do English department instructors perceive AI as a teaching and learning tool?
  • Experiences using AI: How are instructors currently utilizing AI in their lesson preparation, assessment, and student interactions?
  • Challenges faced: What difficulties do instructors encounter when integrating AI into their teaching? (e.g., lack of institutional support, ethical concerns, AI accuracy issues).
4. Theoretical Framework
  • Constructivist Learning Theory: AI as a tool for interactive and student-centered learning.
  • Cognitive Load Theory: AI’s role in reducing instructors’ workload and streamlining tasks.
  • Technological Acceptance Model (TAM): Instructors' willingness and barriers to adopting AI.
5. Possible Research Methodology
  • Qualitative Approach (Phenomenology): Conducting interviews or focus groups with English department instructors.
  • Quantitative Approach (Survey-based Study): Measuring instructors' attitudes, usage, and perceived challenges with AI.
6. Significance of the Study
  • Helps universities develop guidelines and training programs for AI use in teaching.
  • Provides insights into faculty readiness for AI integration.
  • Addresses concerns about academic integrity, ethics, and AI’s limitations in language learning and instruction.
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The perspectives, experiences, and challenges of English Department instructors in higher education using Artificial Intelligence (AI) in Tripoli, or any similar context, can be multifaceted. Here’s a detailed exploration:
Perspectives
  1. Innovation in Teaching: Positive Outlook: Many instructors may view AI as a tool to innovate and enhance teaching methodologies, making learning more engaging and effective. Skepticism: Some may be skeptical about the effectiveness of AI in understanding the nuances of language and literature.
  2. Professional Development: Opportunity for Growth: Instructors might see AI as an opportunity for professional development, allowing them to learn new skills and stay updated with technological advancements. Fear of Obsolescence: There could be concerns about AI potentially replacing certain teaching roles or diminishing the value of human instructors.
Experiences
  1. Integration of AI Tools: Adaptive Learning Platforms: Instructors might use AI-driven platforms to provide personalized learning experiences, adapting to the individual needs of students. Automated Grading: AI tools for grading essays and providing feedback can save time and offer consistent evaluation.
  2. Enhanced Engagement: Interactive Content: AI can be used to create interactive and immersive content, such as virtual reality (VR) experiences or gamified learning modules. Language Learning Apps: Tools like AI-powered language learning apps can supplement traditional teaching methods, offering students additional practice outside the classroom.
Challenges
  1. Technical Issues: Infrastructure: Limited access to reliable internet and advanced technological infrastructure can hinder the effective use of AI tools. Technical Skills: Instructors may lack the necessary technical skills to effectively integrate AI into their teaching practices.
  2. Ethical and Privacy Concerns: Data Privacy: The use of AI involves handling large amounts of student data, raising concerns about privacy and data security. Bias in AI: AI algorithms can sometimes perpetuate biases, which can be particularly problematic in the context of language and literature.
  3. Cultural and Linguistic Nuances: Language Complexity: AI may struggle with the complexities and nuances of the English language, especially in a multilingual context like Tripoli. Cultural Sensitivity: Ensuring that AI tools are culturally sensitive and appropriate for the local context can be challenging.
  4. Resource Constraints: Funding: Limited financial resources can restrict the ability to invest in advanced AI technologies and training programs. Access to Tools: Not all institutions may have equal access to cutting-edge AI tools, leading to disparities in educational quality.
  5. Resistance to Change: Traditional Mindset: Some instructors and students may be resistant to change, preferring traditional teaching methods over AI-driven approaches. Lack of Awareness: There may be a lack of awareness or understanding of the potential benefits of AI in education.
Strategies for Overcoming Challenges
  1. Training and Support: Professional Development: Providing ongoing training and support for instructors to effectively use AI tools. Technical Assistance: Offering technical assistance and resources to help integrate AI into the curriculum.
  2. Ethical Guidelines: Data Privacy Policies: Establishing clear policies and guidelines to ensure data privacy and security. Bias Mitigation: Implementing measures to identify and mitigate biases in AI algorithms.
  3. Collaboration and Partnerships: Industry Collaboration: Partnering with tech companies and AI experts to develop and implement AI tools tailored to the needs of English departments. Academic Networks: Collaborating with other academic institutions to share resources, experiences, and best practices.
  4. Incremental Implementation: Pilot Programs: Starting with pilot programs to test and refine AI tools before full-scale implementation. Feedback Mechanisms: Establishing feedback mechanisms to continuously improve AI integration based on instructor and student experiences.
In summary, while AI offers significant potential to transform English department instruction in higher education in Tripoli, it also presents various challenges that need to be addressed through careful planning, training, and ethical considerations. By leveraging AI thoughtfully, instructors can enhance the learning experience while navigating the complexities of their unique educational context.
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I am interested in exploring the cognitive benefits or challenges that young children may experience as a result of being exposed to multiple languages in early education settings. This question aims to investigate whether multilingualism in preschools and kindergartens contributes positively to cognitive domains such as problem-solving, attention control, and memory, or if it presents any significant cognitive load that affects learning. Understanding this impact could help in designing more effective educational strategies for multilingual environments.
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Dear Doctor
Go To
Makhmoor Fatima, & Dr Aqsa Atta. (2024). THE IMPACT OF MULTILINGUALISM ON COGNITIVE PROCESSES AND LINGUISTIC DEVELOPMENT OF STUDENTS OF A PUBLIC SECTOR SCHOOL IN SIALKOT. International Journal of Contemporary Issues in Social Sciences, 3(1), 364–372. Retrieved from https://ijciss.org/index.php/ijciss/article/view/319
[Abstract
This research examines the influence of multilingualism on cognitive processes and language development in kids attending public sector schools in Sialkot, Pakistan. The study mainly examines the impact of varying degrees of language competency in multilingual environments on cognitive functions such as memory, attention, and problem-solving, as well as the overall linguistic growth of pupils. The study employs a qualitative research technique, using in-depth interviews, focus groups, and classroom observations to collect data from students, instructors, and parents. This method enables a thorough comprehension of the subjective experiences and environmental elements that impact cognitive and language development in a bilingual educational setting. Proficient learners have enhanced cognitive abilities as a result of multilingualism. Multilingual education enhances the cognitive abilities of young individuals, including their memory, attention, and problem-solving skills. A wide-ranging lexicon and a solid grasp of grammar are other indicators of rapid linguistic progress. The use of educational multilingualism enhances cognitive abilities and language skills, necessitating a complete approach to language training. The results indicate that having a balanced proficiency in many languages might enhance cognitive and linguistic abilities, preparing children for success on a global scale.]
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I'm exploring the impact of group dynamics on individual cognitive processes during problem-solving tasks. Specifically, I'm interested in:
  • Cognitive Load: How does participation in a group affect an individual's cognitive load when solving problems? Do group settings alleviate or exacerbate cognitive demands compared to individual settings?
  • Learned Inattention: In what ways might learned inattention manifest within group environments? How does it influence an individual's ability to process information and contribute effectively to problem-solving tasks?
  • Group Influence: How do factors like conformity, peer pressure, and groupthink impact an individual's problem-solving performance? Are there mechanisms through which group dynamics can either hinder or enhance individual cognitive flexibility?
I'm seeking insights, theoretical frameworks, or empirical studies that investigate these intersections between group dynamics, cognitive load, and learned inattention. Any recommendations on literature or personal expertise in this area would be greatly appreciated.
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Zeeshan Haider Cooperative learning pedagogy is a good approach to adopt and implement relevant to your question.
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I am looking for ways teaching specifically science teaching can be improved by using visualisers in classroom .This should to help student to understand clearly ,avoid any misconceptions and reduced cognitive load
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Dear Mr. Nambiar!
You raised an important point - how to teach science visually simply to children. The solution here is a case - and context-dependent one: what kind of subject you teach (math, psychology, biology, etc.) and the culture of the children they are educated along with (parents, family relations, school community):
1) Wiebels K, Moreau D. Dynamic Data Visualizations to Enhance Insight and Communication Across the Life Cycle of a Scientific Project. Advances in Methods and Practices in Psychological Science. 2023;6(3). doi:10.1177/25152459231160103, Open access:
2) Knox, J., Kontorovich, I. Growing research groves to visualize young students’ learning in small groups. Math Ed Res J 35, 401–425 (2023). https://doi.org/10.1007/s13394-022-00422-0, Open access:
Yours sincerely, Bulcsu Szekely
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void
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Any
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Could someone recommend a free post-production analysis software for thermal videos? I am looking to analyse data by comparing facial point temperatures using a FLIR pro camera.
Thank you for the help
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Hi,
I am looking for published and unpublished research addressing cognitive load management for a meta-analysis as part of a larger scale PhD study, under the supervision of Dr. Francesco Pompedda et the University of Gloucestershire.
Any work or ideas would be much appreciated.
Should you have any questions please feel free to contact me.
Thank you,
Andy
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Thanks, I will definitely have a look. The help and guidance is much appreciated.
Andy
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Most pharmacy students rated the use of complex molecular modelling or computational tools as useful for improving engagement and learning outcomes. Further, it significantly improves students' understanding of pharmacological concepts necessary for competency in medication management, based on significant improvements in post-test scores. 
My concern is that if all the above mentioned/stated positive outcomes generated through the use of these pedagogical tools in some ways or other help to reduce the cognitive load or not? Do we have reasons to believe this? I am trying to establish the link between how 2D or 3D visualisation technologies and their relation to cognitive load management.
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Thanks, Mohammed Yaseen Alzahawi , I am of the same opinion, however, I am more interested in the underlying rationale.
Dear
Wajd Alkhawaldeh
, thanks for your elaboration on the query. With my limited understanding and what the literature outlined, it depends on the VSA (Visual-spatial abilities) capability of the individuals. Individuals with high VSA are able to process spatially complex procedures while still retaining sufficient cognitive resources to benefit from using 3D visualisation while learning. With low VSA, individuals utilise more cognitive resources when performing a spatially complex task. This results in an increase in cognitive load as they learn. Therefore, in individuals with low VSA, it may be possible to compensate for the higher cognitive demands by improving instructional methods.
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Are there any studies that explicitly examine methods for cognitive load measurement in real classrooms? I am particularly interested in unobtrusive methods that can capture moment-to-moment variations.
Thank you!
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Good Luck.
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I am testing a hypothesis whether cognitive load, knowledge gain, and self-efficacy influence students' performance before and after using graphic organizers. My data shows that there is a significant difference between the results of cognitive load, knowledge gain, self-efficacy, and students' performances before and after, however when i test whether the thre variables (cognitive load, knowledge gain, and self-efficacy) influence students' performances a no relationship exist.
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Good afternoon dear Randel Estacio
You should have first measured the relationship between those variables before determining the influence.
1.-You only measured the relationship between the variables: (cognitive load, knowledge gain, and self-efficacy)
2.-You did not measure the correlation strength between those variables
3.-You should have measured the strength of the correlation between the variables: (cognitive load, knowledge gain, and self-efficacy)
4.-Only based on the third point, only there, could you determine the influence of the graphic organizers on these variables.
Remember that a relationship is not enough to prove a consequence.
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Hello
I am in the dissertation phase of my PhD in Psychology and am running into an issue with finding a valid and reliable instrument that will address the focus of my dissertation. To explain as simply as I can, I would like to evaluate the relationship between perceived mental effort (cognitive load) and study schedule preferences in interleaved-blocked study schedules when taking multiple unrelated subjects. My challenge is finding an instrument for the "schedule preferences" part of my study. A preference would lead more towards a qualitative study, but I would prefer to do quanitative since cognitive load is a quanitative variable. I started looking into self-regulted learning assessments to measure a student's willingness to apply a specific schedule in future study, but the previous study that applied this measurement created their own questionairre that has not been validated, so I am not able to use it. Any suggestions on valid/reliable instruments that could evaluate a variable that would capture willingness/preferences? Thank you in advance!
Christina
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You can prepare own questionnaire based on your review of the literature!
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Although the task or experimental environment is variable, I have seen that in many studies use alpha and theta bands. https://pubmed.ncbi.nlm.nih.gov/10209231: It's a well-validated means of assessing cognitive load, so has become a bit of a standard. I did find this paper.where they discuss beta briefly as part of a driving task: https://ane.pl/pdf/808.pdf, but it does seem that alpha and theta are more robust measures. I need an equation for calculate cognitive load with power of beta and gamma ?
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I am looking for a piece of research regarding the situation, when the cognitive load, and fatigue, increases due to the wrong way of presenting information - duplicating it (e.g. reading aloud the text on the PowerPoint presentation) instead of using dual-coding method.
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Hi Stefan,
This may not directly relate to your question but I found this interesting. I am not sure if you have seen this paper or not.
Leahy, W., & Sweller, J. (2019). Cognitive Load Theory, Resource Depletion and the Delayed Testing Effect. Educational psychology review, 31(2), 457-478. https://doi.org/10.1007/s10648-019-09476-2
Regards,
James
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How do you measure cognitive workload with EEG devices used in typical neuromarketing research? Which electrodes and waves do you use in forming final result?
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If you're interested in attention-related effects, you'll likely be focusing on early components (e.g., P1, N1, P2). This is where it helps to dive into the ERP literature, specifically studies that have examined phenomenon or questions closely related to your own study. This can help you take a more "targeted" approach regarding which component(s) to examine and isolating regions where this component(s) tends to be most clearly observed.
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I am completing a study that intends to use a cognitive load scale for different formats of instruction. The simplest, most common scales are “How difficult was the lesson you just studied?” with a 7- point subjective rating scale developed by Kalyuga, Chandler, and Sweller (1999), ranging from (1) extremely easy to (7) extremely difficult, and “What level of effort did you put into learning the lesson?” with a 7-point subjective rating scale developed by Paas and Van Merri¨enboer (1993), ranging from (1) extremely low to (7) extremely high.
What is the benefit of having the two questions instead of just the perceived effort question? Is there a benefit to providing the questionnaire just once rather than after each trial? Finally, I'm having a hard time finding the reported reliability/validity information for the instruments. Much appreciated.
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Cognitive load measures using the dual-task paradigm require a learner to perform two tasks simultaneously. It is assumed that performance for the second task drops when the primary task, i.e., the learning task, becomes more loading.
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The factors which aid learning (retention in long-term memory) predicted by cognitive load theory (eg the split-attention, modality and redundancy effects, among others), while not contradicting them, do not correspond to the retention-enhancing desirable difficulties (eg the spacing, interleaving, testing effects, among others). Cognitive load theory and it's model of human cognitive architecture provide an explanation of why and how its predicted factors can aid learning. So, which part of human cognitive architecture is affected by the desirable difficulties? These difficulties do not seem to affect either intrinsic or extrinsic cognitive load. Do they, therefore enhance germane cognitive load?
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Interesting.
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Dear all,
I am currently developing a framework about learning with immersive Virtual Reality. So far, I have categorized "Number of mistakes" and "Time to completion" as performance /objective factors and satisfaction, self-efficacy and motivation as affective factors. However, I also want to include embodiment, usability and cognitive load. I currently cannot come up with a suitable summary keyword. They all refer to the experience while learning, but I would prefer a different category than "learning experience". Do you have any ideas how I could categorize the three concepts?
Thank you very much in advance for your help!
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Interesting topic.
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We are working on adaptive assistance and training systems, i.e. for avation pilot training. For this purpose, we try to monitor the activities of the trainess, gaze behavior, cognitive load, the progress in the task, accuracy and efficiency in task execution, the context, etc.... basically everything we can think of...
From these raw sensor data, we infer features to represent certain skills like where to find information, accuracy, automation, efficiency, etc....
our problem is to go from these single representation of skills to a higher-level representation of more abstract but associated competencies like spatial awareness, communication, decision-making, etc.
Currently we are trying out heuristics, manual rule-based associations end evaluations and comparison to expert reference executions
We would like to use computational cognitive models of competencies to find the multi-modal associations between single observations to more abstract representations of competence.
Do you have any ideas, models to look at?
thank you very much
Benedikt
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I wish you good luck in your work, dear colleague.
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Dear fellow researchers,
while drafting an article about the importance and interlay of previous knowledge and learning with (multiple) external representations (combinations of text + pictures or diagrams etc.) Stumbled numerous times over cases of Expertise-Reversal-Effects, that seem not be explainable in the conventional terms of the Cognitive Load Theory (CLT) so far.
So, I would like to share these findings with you and to invite you to think about alternative explanations.
What is the Expertise-Reversal-Effect (ERE)?
The core idea behind the CLT is, that the better one's previous knowledge is organized (as chunks), the lesser one's working memory is loaded when solving problems or learning new contents. This holds true for most of the experimental observations. However, in some cases, high previous knowledge (HPK) leads to lesser performance outcomes than of participants with low previous knowledge (LPK). This effect is called the Expertise-Reversal-Effect (ERE): HPK learner profit less or even not from a specific treatment than their LKP counterparts.
How is the ERE explained in terms of the Cognitive Load Theory (CLT)?
For explaining this contradiction, CLT also proposes an executive moment of previous knowledge, that guides search & find processes. Those cognitive procedures could conflict with the instructional format as well as previous knowledge can conflict with the presented contents. So, as Slava Kalyuga states, "if external guidance is provided to learners who have sufficient knowledge base for dealing with the same units of information, learners would have to relate and reconcile the related components of available long-term memory base and externally provided guidance. Such integration processes may impose an additional working memory load and reduce resources available for learning new knowledge."
The fact that previous knowledge may induce additional cognitive load would explain lesser (absolute) learning outcomes of HPK learners with a specific treatment in comparison to their HPK counterparts without treatment. It would also explain lesser learning gains compared to their LPK counterparts with treatment (in case ceiling effects can be excluded).
However, it is difficult to follow this explanation for the case that HPK learners with treatment show lesser (absolute) learning outcomes than their LPK counterparts as this implies (by the interpretation of the CLT) that the instructional treatment must have had an enormous effect on cognitive load, overcompensating any advantages of previous knowledge.
Which evidences and limitations of the explanation given by the CLT have been observed?
There are convincing examples that undoubtedly trigger a cognitive conflict between the mental models of the participants and the presented information like in Schnotz & Bannert:
However, these experiments heavily (and intentionally) manipulated previous or presented knowledge to yield their effects. Most treatments we are much less pervasive and therefore their effects in terms of interference between previous knowledge and presented content (including treatment) should be milder. Furthermore, the ability to ignore treatments like signaling by color coding is not taken into account by CLT, it is however been demonstrated by eye tracking studies of Richter and Scheiter:
In this study, recall performance of HPK and LPK learners with that simple treatment equals, while for participants without treatment differ significantly as expected (cf. Fig. 3). The same for the comprehension measures in Richter, Wehrle & Scheiter (cf. Fig. 3):
Even more intriguing are findings by Kragten, Admiraal & Rijlarsdam, who report on an analysis of difficulties without any treatment of diagrams that low cognitive demanding diagrams (i.e. diagrams with low complexity) are even slightly better been understood by LPK than HPK learners. (Diagrams with high complexity instead show the expected characteristics.) Moreover, diagrams with unfamiliar conventions AND that poses high cognitive demands are being significantly better understood than those of eighter complex or with unfamiliar conventions (cf. Fig. 2):
These are some of the ERE findings that are particularly surprising and, in my humble opinion, cannot been explained in plausible way within the framework of CLT.
Is a Dual Processing hypothesis a sufficient candidate for explaining these findings?
Reading the book “Thinking fast and slow” by Daniel Kahnemann, I came across the hypothesis (to my knowledge originated by Stanovich and West) that there are two cognitive processes been postulated that govern problem solving and decision making in economics. According to that theory most cognitive processes in daily live (and learning) are done on an automated base relying on previously acquired cognitive schemata (system 1). These processes require minimal mental effort but are prone to errors. However, if system 1-processes do not lead to a sufficient solution or intentionally attention is shifted to the given problem, system 2 kicks in and starts deeper elaboration processes. So, perceiving hard to solve problems or being forced to shift focused attention to a given problem should significantly decrease error rate. Also see:
This theory has been recently applied to several fields, however to my knowledge not to learning and teaching so far and especially not to multimedia instructional design and external representations.
So my Questions for Discussion:
  • In your opinion, is there a need for an alternative explanation of the Expertise-Reversal-Effect? (And why do you think so?)
  • In your opinion, is the Dual Processing Theories a good candidate to explain the given data or are there even better ways to do so?
  • In your opinion, how to predict an ERE before the experiment based on CLT or any other theory?
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How Diffident types of cognitive load and amount of cognitive load influence time perception , cognitive load in terms of executive and working memory load .
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I personally believe, research in time perception domain is very important as time is something that is very fundamental to all of us, yet we don't understand what's actually goes inside our brain when we explicitly or implicitly perceive time. It has implications in mental disorders, temporal illusions etc. The need to do research more in this domain becomes important as there is no particular sense organ for temporal perception unlike of visual, auditory, gustatory, tactile and olfactory perception. Now, there is surge in research in this domain in India and many professors are interested to work and are currently working in this research field.
I hope in the next five years in India, this research field will flourish but we do need collaborations across the institute. Also i hope that there should be a well developed lab (with availability of cutting edge research equipment) that should especially focus on time perception related studies with all the possible approaches and paradigms.
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As the question said, what is the relationship between these two factors.
Is it normal if these two values differ greatly?
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Hi @Shufan Yu,
Mental load is an external factor, whereas, mental effor is an internal factor. For example, task difficulty or secondary task affect the mental load that it can be led to mental effort. For mental effort measurement can be used by EEG
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Hello! I am a second year Clinical Psychology student at William James College. I have conducted a survey as part of my Doctoral requirement that measures the effectiveness of Cognitive Load inducing Techniques in assessing malingering across various settings. My target population sample includes Psychologists that are currently practicing in the United States; particularly Neuropsychologists and Forensic Psychologists.
If anyone is interested in taking this survey, you can do so by accessing the following link: https://williamjames.co1.qualtrics.com/jfe/form/SV_8JmYSRvCDOwk2cl
Your cooperation would truly be appreciated!
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Dear Colleagues,
It seems to me that a single working memory measure can not be used for all L2 projects using the same population. Sounds like one needs to take into consideration the cognitive load of the tasks used in a specific L2 project and accordingly use the most appropriate WM measure placing more or less the same memory demand in order to have reliable results, irrespective of whether there are significant or insignificant relationships between that memory measure and dependent variables. I think even if multiple memory measures are used in an L2 project, one still needs to care about the weight of dependent variable(s) used in that project first and then choose the right memory measure which could well match with those variables in tapping WM. I would much appreciate it if you share your experience and thought with me.
Many thanks
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Thanks Yousif for your answer.
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Dear all,
Both cognitive load and stress may affect an individual's psychophysiology. In context's where both stress and cognitive load may be present (in my case, an eyewitness-testimonial situation) how do you separate or control for physiological stress when measuring cognitive load with psychophysiological measurements? Please let me know your thoughts and perhaps what measurements are best suited for the task at hand.
Best, Tony
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I presume you must have a sham group with which the performance of the experimental group actually undergoing physiological tests is compared. The cognitive load is easily controlled for if the sham condition is equal to the experimental condition in discomfort. (If the experimental group is having continuous brachial artery pressure measurements, then both groups should have an intra-arterial cannula and transducer, but no measurement taken from the control group)
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Background:
M.S. User Experience and Interaction Design student
I have a few questions for Hepatology students
What are the three subjects in the curriculum which you find difficult to understand and why?
Which is the one subject which can bridge a gap between theory and clinical studies? What are the current methods to learn it?
Do you feel cognitive load while understanding complex structure of the liver and portal venous system or any other specific topic? Can you list down 5 top reasons behind the cognitive load?
When was the last time you felt that this subject (if any) needs to be enhanced by some other means for ease of understanding? For example: The subject needs enhanced realistic visualization, lacks perceptual variation, needs deliberate practice and repetition and feedback and so on.
When was the last time you felt severe sleep deprivation and you lost focus? Why do you think this happened?
If my research is going in wrong direction, please feel free to tell me.
Thanks.
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I do not understand what do you mean by "Hepatology students"? Are these graduate students doing post-graduate training in Hepatology? Why Hepatology students in particular? what is your control group? Are these questions part of a questionnaire? What is the aim of your research? How did you develop these questions? What is the problem, and what are your research questions?
Hepatology is a straight forward subject and is much easier compared to cardiology, or neurology. So you need a control group to compare.
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if the students were using a new learning tool and they complained about having a headache while using the tool. In my research I found that this tool caused a cognitive load. So I need help to understand what is the link between the cognitive load and headache?
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This is an interesting recent review.
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How to measure the cognitive load from the brain activation.?
i use to use  ERD/ERS% formula to get an indications of any increase of decease of the overall cognitive load, but i would like to know if there is any other way to measure different types of cognitive load (extraneous, intrinsic, germane).?
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Of course, what constitutes intrinsic or extraneous cognitive load depends on what needs to be learned. For example, if the goal of learning is to comprehend concepts incorporated in some text, using jargon may constitute an extraneous cognitive load.
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The use of technology in our everyday activities has gain much attention over recent times and has transcend into teaching and learning.
Psychologist such as Vygotsky, Edward Thorndike, Jerome Bruner, C. Rogers, Edwin Guthrie have all proposed different learning theories such as constructivism, Behaviorism, Cognitivisim, Cognitive load theory, Operational conditioning theory.
Am wondering which of these theories could be embedded with technology in order to teach at higher institution of learning
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Philip, I have just spent three years doing a full time PhD on learning which incorporated a close look at the learning theories already mentioned and some that have not yet been mentioned. At a summary level, all learning theories come from a particular stance and set of beliefs (Behaviourism, Cognitivism). This is both a strength and downfall. For example, many of the psychological theories look at individual learning only. The social aspects of learning are more focused upon through interaction with educators in these individual learning theories. Sociocultural learning theories, on the other hand, include the social and cultural aspects of learning (Social constructionism, Constructivist including Vygotsky). These learning theories recognise that individual learners are part of social and cultural systems. Brofenbrenner's Ecological systems theory is the most complete learning theory in this regard.
However, with the advent of EdTech and its integration into learning processes, there has been a stronger recognition that individual learners are learning within a context. This context may be a community of practice/community of learning (Lave and Wenger, Garrison) such as found in online learning. Siemens and Downes have written extensively in online learning utilising networks and collaboration rather than focusing on individual learning processes. Their theory of connectivism is well worth reading as it moves away from educator to learner interaction to everybody in the community of learning interacting with each other, learning artifacts that are curated, and recognises that knowing how to learn is more important than what we learn. Therefore, it aligns with lifelong and lifewide learning.
After looking at the learning theories closely, I am left with the feeling that we need to move beyond their rigidities. In order to do this, we need to have a clear understanding of learning, how it occurs, what we as educators can do to promote learning, and ultimately we need to be research-informed in developing learning principles that work for our context and the learners with whom we work.
Thanks for the interesting question.
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What happens to the extraneous cognitive load in these kinds of learning scenarios as compared to the ones where active learning is practiced? Are there any studies about it?
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The significance of motivation
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I am planning the major research project proposal for my Professional Doctorate in Education focusing on the understanding and application of Sweller's cognitive load theory to teaching practice in Reception classrooms.
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I suggest you check out this article reflecting on David Geary's hypothesized biologically primary and secondary forms of knowledge. His thesis is derived in light of CLT and has implications for the classroom.
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I am planning a study in which I want to experimentally manipulate autobiographical memory coherence. The main task is that participants will have to recall and write about important autobiographical memories. I am interested in how a concurrent (non-verbal) task (which would increase cognitive load) impacts the coherence of participants' narratives. The hypothesis is that reduced working memory capacity will lead to less coherent narratives. Can someone recommend a suitable secondary task?
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There are few considerations to be taken care of. If the writing is independent, such like the participant can write as he or she thinks, the working memory involvement is relatively low and long term memory effect is more active. In stimulus guided writing - following some visual cue and writing will cause more involvement of working memory.
There could be some approaches as follows:
1. Incorporate disturbance in the stimulus: undesired visual elements in and around the focus point.
2. Verbal arithmetic could be another way of disturbance, as it is totally working memory performance.
3. Visual pattern matching task.
4. n back tasks could be good one: you can increase the level of difficulty: 1 back, 2 back, 3 back(mostly participants will fail to do).
you can consider the performance error as a parameter and can correlate it with the change in cognitive load during multiple working memory performance.
But, it is still confusing if the brain perform working memory tasks through parallel processing or not. Your study could reveal this too.
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I am doing a research on cognitive load in people with autism using the EEG Biograph Infiniti peripherals.
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Have you consulted the manual? I believe this is a link to the manual. http://thoughttechnology.com/pdf/manuals/SA7913%20V6.0%20BioGraph%20Infiniti%20Getting%20Started.pdf
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What could be the different aspects of non-planned behavior ? Like how we use certain technology, a lot of times, we use it in an 'automatic mode' without thinking too much about it. Also when we buy a car, we think it thoroughly but while using it, we simply use it everyday with minimal cognitive load. However, interestingly, many people would use the same product in subtly but measurably different ways.
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People have been pondering this since Herbert Simon first wrote about cognitive capacity. We simply don’t have the ability to go through thorough and extensive decision making processes every time we are about to make a purchase, engage in a routine activity, etc. and so we tend to separate out those things that need careful attention from those things that do not. We give priority – rightly I think – to major purchases like cars. But the question of whether we behave differently when dealing with those things that we’ve not mentally vetted versus those that we have is not one that I’ve seen addressed. There is an element of whether the un-vetted purchase or activity presents us with something unexpected - something that may happen, but differently, with a vetted activity. It’s an excellent research question.
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Cogn. capacity can be manipulated as follows: high- or low-capacity. In the low-capacity condition, participants’ task is to memorize a nine-digit number within a defined amount of time.
My question is, how can I control whether the low-capacity task had an effect or not? Apart from looking for differences in response behaviour in high- and low-capacity conditions? Maybe somebody knows a short scale or a reference where this topic is covered.
Thanks!
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Hi Katharina,
I am still not sure whether the 9-digit memorization task is the dependent variable or the manipulation.
In any case, assuming the former to be true, whatever your cog. capacity manipulation is, what you could do is test how strongly the score on your task relates to other measures of cognitive capacity (maybe in a separate sample?). For example, you could have participants complete: a complex span task, an n-back task (or any other measure which relates to different aspects of cognitive control), or even Raven's matrices to measure abstract reasoning.
On the other hand, if the 9-digit task is your manipulation, you can just have your pp complete the suggested tasks.
Small tip: maybe you will also want to measure the baseline cognitive capacity of your groups to control for pre-existing differences.
Hope it helps,
Cheers,
Tiziano
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I'm working on designing a classifier of cognitive workload levels based on EEG measurements. The application of the inclusion criteria set in the experimental protocol gave a group of participants aged from 23 to 33 years. Does this age range influence results interpretation?
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You will find the answer to your question in the two manuscripts in Attachment. It is necessary to take into account age-related changes in the EEG. There are many other conditions that need to be taken into account, in addition to the well-known. Season, diurnal rhythms, horizontal or other position of the subject, the degree of relaxation of the subject, the accuracy of fixing the electrodes, the length of the hair of the subject, the condition of the skin ...
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My current project is in cognitive load
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Hello Ivan,
Any scale development begins with the question, what is the intended use or purpose of scores from this measure? Research (e.g. on perceived cognitive load)? Making decisions about individuals? Something else?
Once you identify the intended purpose of the measure, you can then either adapt an existing measure with a claimed or verified factor structure, or you can determine what major factor(s)/facet(s) you'd like your measure to tap, consult the literature and domain experts, and start generating potential items for review and then field trial. Field trial means collecting response data from persons representative of the target population (for the measure).
Various analytic methods may be applied at that stage, to help make the case for (a) the claimed dimensionality of the measure; and (b) the utility of the scores from the measure for the intended purpose(s).
I'm sorry if this seems a little open-ended, but your question is quite open-ended as posted. Here's one good resource on scale development; others exist as well:
DeVellis, R. F. (2012). Scale development: Theory and applications (3rd ed. Vol. 26). Los Angeles, CA: Sage.
Good luck with your work!
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Hi,
I'm looking for a mechanism to calculate the cognitive load of an individual. When searching, came across with the load theory introduced by Nilli Lavie.
Do you have an idea how to calculate the load experienced by an individual at a given time?
Thanks,
Indika
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Dear Indika,
if you have access to an eye tracker, phasic pupil dilation would be an adequate indicator. You might have a look into this paper, in which they also applied a working memory task and assessed pupil dilation:
Tsukahara, J. S., Harrison, T. L., & Engle, R. W. (2016). The relationship between baseline pupil size and intelligence. Cognitive Psychology, 91, 109-123. doi:http://dx.doi.org/10.1016/j.cogpsych.2016.10.001
Pupil dilation strongly correlated with actual cognitive load.
Best,
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While in research literature several research have been reported on correlation of the powers across different frequency bands (Beta, gamma, alpha theta) with cognitive load. But very few has reported the entropy relation with cognitive load. May be I have missed some latest research.
Please help me to get more literature on Cognitive Load relationship with spectral entropy or I am open to receive research thoughts on the same.
As of now i have found this literature useful: Estimating cognitive workload using wavelet entropy-based features during an arithmetic task.
Pega Zarjam a,b,n, JulienEpps a,b, FangChen b, NigelH.Lovell.
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Hi Naveen,
This article may help as a similar technique to analysis EEG signal. However, its about driver fatigue and not workload.
" Noise Robustness Analysis of Performance for EEG-Based Driver Fatigue Detection Using Different Entropy Feature Set "
Regards
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Hi all,
We are conducting a meta-analysis on the role of intuition vs deliberation in dishonesty. Specifically, we are interested in experiments using two types of tasks, measuring the decision to lie (see 1a below) or the cognitive cost of lying (see 1b below), and manipulating cognitive processing (see 2 below). We would love to include any studies (published or unpublished) you might have run that meet the following criteria:
1a) Participants engage in one or more (incentivized or hypothetical) tasks allowing them to boost self (and/or other’s) profit by lying (e.g., tasks like Gneezy’s deception game, privately predicting coin tosses, reporting outcome of die rolls, solving numerical matrices, identifying where more dots appear, and more). We are interested both in studies including a control condition in which lying is not possible, and in studies in which lying is assessed by comparing behavior to the expected performance if participants are honest.
OR
1b) Participants engage in a computerized task recording reaction times for lie and for truth trials, at least 20 trials each, within the same subject (e.g., using the Differentiation of Deception paradigm, Autobiographical Implicit Association Test, Sheffield Lie test, TARA, Concealed Information Test / Guilty Knowledge Test).
AND
2) Cognitive processing capacity was experimentally manipulated, using for example: cognitive load, time pressure/delay, (ego) depletion, intuition/deliberation inductions (e.g. instructing participants to decide intuitively vs deliberatively, or having them recall a time in their life where intuition vs deliberation worked out well), sleep deprivation, alcohol, time of day effects, stress / anxiety, 2nd language, or any other manipulation of theoretical relevance.
To illustrate, some exemplar studies that meet these criteria:
1a) The decision to lie:
van ’t Veer, A. E., Stel, M., & van Beest, I. (2014). Limited capacity to lie: Cognitive load interferes with being dishonest. Judgment and Decision Making, 9, 199-206
Zhong, C. B. (2011). The ethical dangers of deliberative decision making. Administrative Science Quarterly, 56, 1–25
Shalvi, S., Eldar, O., & Bereby-Meyer, Y. (2012). Honesty requires time (and lack of justifications). Psychological Science, 23, 1264–1270
Gunia, B.C., Wang, L., Huang, L., Wang, J. & Murnighan, J.K. (2012). Contemplation and conversation: subtle Influences on moral decision making. Academy of Management Journal, 55,13–33.
1b) Cognitive costs of lying:  
Visu-Petra, G., Varga, M., Miclea, M., & Visu-Petra, L. (2013). When interference helps:
increasing executive load to facilitate deception detection in the concealed information
test. Frontiers in Psychology, 4, 146. doi:10.3389/fpsyg.2013.00146
Debey, E., Verschuere, B., & Crombez, G. (2012). Lying and executive control: An experimental investigation using ego depletion and goal neglect. Acta Psychologica, 140, 133-141.
Suchotzki, K., Crombez, G., Debey, E., Van Oorsouw, K., & Verschuere, B. (2014). In Vino Veritas? – Alcohol, Response Inhibition and Lying. Alcohol and Alcoholism, 50, 74-81.
If you have any studies you'd like to be included, please send them to us (n.c.kobis@uva.nl):
i) the raw data (in spss, excel, csv format), ideally including any subjects who might have been excluded from your main analyses (in particular, those excluded for failing manipulation checks for the cognitive process manipulation); or, if you would rather not share raw data but are willing to run tests on the data for us, let us know and we will follow up with details.
ii) a key explaining what each data column corresponds to
iii) details of the experimental setup - i.e. what the exact game/payoff structure was (1a) or what the exact RT paradigm was (1b), and how exactly the cognitive processing manipulation was implemented
iv) the subject pool and location in which the experiment was conducted (e.g. Yale undergrads in the Yale School of Management laboratory, or US residents on Amazon Mechanical Turk)
iv) how you would like us to cite your work (e.g., Rand (2016) title, Unpublished data.)
Thanks very much!
Nils Köbis, Shaul Shalvi, Bruno Verschuere, David Rand, & Yoella Bereby-Meyer
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Thank you so much for your feedback, Sigi!
I checked your Frontiers paper and your data (Sporer & Walther, 2004) look very interesting. From the description, I infer RTs were measured during a face to face interview? For the current meta-analyses, following the Verschuere et al., 2015 Wiley chapter and Suchotzki et al 2017 Psych Bull, we only included computerized RT paradigms with at least 20 lie and 20 truth trials, arguing this is needed to reliably pick up RT costs of lying.
I fully agree that rehearsal is an interesting moderator. Our reliance on computerized paradigms complicates coding in terms of rehearsal. Using the criteria above, by definition all studies include some form of rehearsal (all participants have several lie trials and several truth trials). Then again, I think few, perhaps none, will have had rehearsal time before the lie test. Moreover, while there are clear expectations for the effect of rehearsal on the cognitive costs of lying (i.e., rehearsal may diminish the lie - truth RT difference), it is less clear how rehearsal would change the effect of load on lying?
I am glad to say that we have half published and half unpublished studies; and that we have only one third (k=7) 'in-house' studies (me as co-author) and 14 studies from other labs. Moreover, we do not test an 'in-house' theory. So publication bias and developer bias are less likely to be at play.
Finally, lying was manipulated within subjects for all studies (=inclusion criterion), but you are right that for load we have both within and between subject manipulations. On p9 we describe how we dealt with that - would you say its insufficient? Could you please send us a copy of your chapter Sporer, S. L., & Cohn, L. D. (2011). Meta-analysis. In B. D. Rosenfeld, & S. D. Penrod (Eds.), Research methods in forensic psychology(pp. 43–62). New York: Wiley.?
Thank you!
Bruno
ps Wiley chapter I refer to is Verschuere, B., Suchotzki, K., & Debey, E. (2015). Detecting deception through reaction times. In P. A. Granhag, A. Vrij, & B. Verschuere (Eds.), Deception detection: Current challenges and new approaches. Chichester, UK: Wiley, Ltd.
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It seems that most self-report tools can be used only after the task was finished (eg. NASA TLX, Paas Scale, Subjective Workload Assessment Technique, Rating Scale Mental Effort). However, I would like to compare the level of cognitive load before starting the task and after finishing it. Is there a self-report tool to do that?
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Thank you all for your answers. It seems that the main conclusion is that you can get a baseline for anxiety/stress but not for the cognitive load imposed by the task (it seems pretty obvious now, when you've pointed it out).
I've used pupilometry as a physiological metric and NASA TLX as self-assessment.
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Are you using Cognitive Load Theory (sweller,2003) basis for CL measurement during arithmetic tasks?
If person storing digits(arithmetic tasks) for mental calculations then as per (miller,1956) it should not go beyond the 9 items at a time. Otherwise information overflow lead to CL. This is another approach CL plus working memory.
Task design should be different for different types of CL.
So, have you discriminate low and high tasks based on that (for low level CL it will be below 5 items and for high CL it will be more than 9). 
Next, what physiological features have you decide to take for CL measure and what classification method have you used? 
Keep sharing your thoughts about this project. 
I am also very much interested in CL measurements. My research focus is more towards users centered design and HCI. In my lab I use eye tracker, GSR and EEG for CL measurement.
Thanks Ma'am. 
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Sir,
Your example is absolutely correct. If relevant information is presented in the task to user, Extraneous cognitive load will reduce. Further, Extraneous CL will be reduced if you use multi-modality channels for the same information(Mousavi, S. Y., Low, R., & Sweller,1995).
But still types of cognitive load due to task cannot be measured separately. There are always some amount of intrinsic , extraneous and germane CL will be present in the task. However, we may identify the maximum weight among the type of CL.
Before measuring any type of CL or total CL., one should always focus on "How to design stimuli and What task should given to the user". So that difference in CL in users due to task can be measured precisely and clearly.
For multimedia instructional design CLT is ideal. Go for it. All the best Dr Nachi Muthu for your experiments.
Thanks for sharing your thoughts.
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Intrinsic cognitive load (charge cognitive intrinsèque) and extraneous cognitive load (charge cognitive extrinsèque) are quite obvious to translate. But I am wondering how to translate "germane cognitive load" in a way that truly reflects what it means... Charge cognitive efficaceCharge cognitive facilitante? Has somebody used those constructs in french?
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Thank you very much for this etymologic reminder! I, therefore, think I will opt for "charge cognitive nécessaire". Have a nice day!
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Hi,
I am working on project which has 2 parts.
First to identify current stress and affected efficiency rate of individuals
Second part is to predict both parameters for any new person.
And for this I am using the measuring parameter as cognitive load.
But my main concern is how to measure the cognitive load ? which is the effective method for it?
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Surekha   Stress is a rather ambiguous and much misused term in this context. If you search on "Cognitive impact of anxiety" you will find there is much research available.
In particular the State-Trait Anxiety Inventory (STAI) should meet your requirements.
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I need the Paas cognitive load scale for measuring cognitive load .
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Hi Nourhan,
The Paas scale is by far the most used measure in the last 20 years or so. The google books link below has an example of what it looks like on p. 16. This scale is usually administered after every test question you'd like to measure, or after every question or example during the learning phase of your experiment.
A few years ago, a different scale was developed by Leppink that actually measures all types of cognitive load separately and is administered at the end of the learning phase. It was tested on PhD students, so bear that in mind. I saw him speak earlier in the summer and the conversation was being had around germane load - can you actually measure germane load? The consensus was that when measuring germane load using this instrument, that it might be more appropriate to say we're measuring a Subjective Judgement of Learning, that is, how the learner thinks they've improved based on their learning experience. 
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I am interested in cognitive load theory. I need to measure cognitive load . what is the tool i can use to measure cognitive load ?
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Thanks for your help and your valuable references
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I am wondering if anyone can point me to an experiment where the cognitive load can be considered a continuous function.
I have used the delayed item recognition task where cognitive load is the number of letters to remember. This task therefor has a relatively small number of possible levels of load (1 through 6 or 8). Does anyone know of a task where there are more possible increments of cognitive load between very easy and too difficult to answer correctly? I am not restricting myself to verbal short-term memory.
This would be a task that is appropriate for a trial based fMRI experiment.
Thank you
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Hi Jason,
Have you considered a mental arithmetic task? The difficulty of serial subtractions can be varied by adjusting the length of numbers in the subtrahend and/or minuend. Difficulty might also be manipulated by adjusting the the time allowed to provide an answer, but this could introduce unwanted emotional activation.
Best,
Mal
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The one i knew is from the ERD/ERS index
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Here you are two papera about it.
Salazar, E., Domínguez, E., Iborra, O., de Córdoba, M. J., & Milán, E. G. (2015). Capítulo 2. Termografía aplicada a la Psicología: Presentación. NEUROTERMOGRAFÍA Y TERMOGRAFÍA PSICOSOMÁTICA, 35.
Ramos Sandoval, O. L., & Amaya Hurtado, D. (2015). Sistema de control de trayectoria en manipulador de cinco grados de libertad utilizando sensor Emotiv.
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We have been working with an older Tobii product but are looking to upgrade. So far I've reviewed the new Tobii and the SMI glasses. It seems like there is a significant cost difference.
Does anyone have experience they could share?
We are interested in fixation and gaze patterns, as well as indicators of cognitive load like pupillary response.
Thanks!
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If you are looking for tasks without movement, I can suggest you the SMI 500 RED. We have been working here with this devices, and the reliability is much better than glasses.
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Sweller, a psychologist, who developed Cognitive Load Theory generally regards cognitive load as a burden on working memory and something to be reduced. The Common Core State Standard for Mathematics, as well as elsewhere, like to promote tasks with high cognitive demand.
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"Cognitive demand" and "cognitive load" are different concepts in cognitive psychology.  The "cognitive demand" of a task is how intellectually challenging it is.  You might make a problem more cognitively demanding by making it less structured (e.g., you have to clarify the nature of the problem to solve), providing excess information that could distract us, or asking for an explanation about why an answer is true, rather than simply expecting the right answer with an algorithm.
While we're solving a problem, we need to keep in mind the facts of the problem, our goal, and possible strategies & procedures.  We keep this information in mind with "working memory" and we call the amount we have in our working memory our "cognitive load."  Unfortunately, we have a limited amount of working memory so we can only hold so much in mind while we solve a problem.  For example, you probably can't figure out what 1.234 * 56.789 is in your head.  It's not because it's cognitively demanding.  Afterall, you know exactly what steps to do to get the answer.  Instead it's too great a cognitive load: keep those two numbers in mind, while doing the multiplication algorithm, producing each number on a row that you'll eventually add, etc.
You might reduce your cognitive load while solving a cognitively demanding problem by, for example, creating external representations (e.g., writing down key information).  And reducing the cognitive load is often an excellent decision in trying to solve a cognitively demanding problem.  Hope this helps Annie!
Kevin
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In my study (which is related to the cognitive load) i will explore the Aptitude Treatment  interaction in examining the types of visuals (one with simple schematic white and black drawings and one with colors, personification and shape and other motivational factors) and academic achievement.  I am working on various variables but could not clarify yet. one possible explanation that may affect is visual working memory capacity but  i am not sure. If any experts in this field will be able to help on this issue, i will be very happy.
Best.
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Be attentive to the relationship of visual and other  perceptions, namely auditory perception. In fact, because in the real life the stimuli been almost always multi sensorial, they interfere on to another, and that fact  have a determinant influence on the discrimination and representation of the stimuli, specially on complex situations.
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In dealing with a group of social studies educators this summer they constantly claimed the only thing that mattered was "skills" and "history content" was irrelevant. I can't imagine how you can separate the 2 - it seems that in order to use historical thinking skills effectively, it entails a strong comprehension of relevant historical content knowledge. However, I was unable to convince the group of 23 K-12 teachers who seemed to be completely indifferent on "content". I am interested particularly in research that focuses on any of the following three strands as each would inform my study:
1 - Differences measured in Historians versus K-12 educators of history as it relates to (a) content knowledge and (b) historical thinking skills
2 - Measurement tools for assessing one's "historical thinking skills" - there are many national assessments for "content" so I'm comfortable with finding a reasonable one there
3 - Cognitive load work on learning history as it relates to historical thinking skills AND content knowledge
Thanks!
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As a former history teacher, I would agree more with the your K12 practitioners. While I would never proclaim that history content was irrelevant, I would argue that it should be critiqued rather than consumed.  From a critical and cultural perspective, knowledge is constructed and heavily aligned with social power. As a result, it lends itself to be contested. The slant and control of what is considered as valid "historical content" makes its consumption rather toxic (if not dangerous) for our increasingly more diverse student body. 
While I couldn't answer your questions, I think they are quite relevant! I look forward to reading the different responses.
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I'm looking for studies with the focus on constructing computer-based authentic test-items/ tasks (with regard to measurement models, authenticity and multimedia/cognitive load criteria). 
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Please see the work of Charoula Angeli and Nicos Valanides in the University of Cyprus on TPCK.
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Fixations, saccades and pupil diameter are the most used parameters, but I haven't found references about how to analyze those data in order to accurately determine cognitive load level.
If someone can suggest specific methodologies that are used to determine cognitive load level using eye movement measures, I'll really appreciate that. Thanks!
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Cognitive load is often a parameter built into experiments as an independent variable up to the definition of the experimenter. In my experience, cognitive load is quite difficult to infer from any raw physiological measure.
It might seem too ponderously philosophical to say so, but the notion of cognition or mind or brain as a container, i.e., for a load to be carried, always leads to challenging explanations, especially as you look for more concrete empirical anchors such as eye tracking data.
Best wishes,
Damian
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Is EDA (electrodermal activity, also known as EDR or GSR, galvanic skin response), really a good (robust, reliable, not-subjective) psychophysiological biomarker to measure psychological stress and/or cognitive load? ( i.e. pls. refer only to studies with measurements and analysis of the data and not theoretical background info about EDA)
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Dear Ahmet, We recently published a paper showing robust EDA (we called it skin conductance response [SCR]) differences between judging an ambiguous picture, sentence or sound as 'harmless' or 'threatening'. These SCR measures were collected during an fMRI experiment, so we also investigated the neural correlates of autonomic arousal; and related phasic SCR responses to personality traits. As is alluded to in one of the other answers, there is the complication of 'non-responders' - some of our subjects showed an almost completely flat trace throughout the experiment (though 'normal' BOLD responses). Hence you need a-priori exclusion criteria for these subjects. One answer to your question is therefore that EDA is a robust, reliable, not-subjective psychophysiological biomarker of psychological stress within subjects, but not always between. In a separate study we found that heart rate variability (HRV) was a better marker of cognitive load (i.e. effort) than SCR. Finally, don't forget that an SCR is relatively easy to fake (clench your buttocks, screw up your toes, dig your nails into your hand, imagine your children being tortured etc), so is not really suited to high stakes situations like the polygraph.
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That is, data recorded in eye tracking experiments where the (ground truth or a good proxy for) cognitive load is known (even if it is at a very coarse-grained categorical level, like "cognitively engaged" vs "resting/disengaged").
It would be nice if it also has data gathered with varying lighting levels, but I don't count on it... :)
Thanks!
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Hi,
>You mean that cognitive load should be constant across the different tests/conditions in your experiment?
Yes, we didn't impose any cognitive load (no double-task, etc.), rather some mild psychological stress.
Have a look at the Methods section where everything is explained in detail.
Regards,
Marco
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We are evaluating a new e-learning tool for adaptive learning.
To evaluate the new tool, we measure different variables (e.g. motivation, interest, performance, mood) with online questionnaires.
To measure the cognitive load of some tasks we think to use the three items used by Cierniak et al. (2009). For a more objective measure we hope to find a way to measure cognitive load with log file analysis.
Does somebody knew a method do measure cognitive load with log files?
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Generally speaking, if the tasks imply the subject's response, load can be measured by assessing the number of correct responses (with respect to the number of responses expected) and the reaction times (time interval between a task request and the subject's response). It is known that reaction time is generally a more sensitive measure with respect to correct responses, as it begins to show modulatory effects due to increasing cognitive load (usually, a delay in response), well before a decrease in correct responses rate happens. I.e. the subject gradually deploys larger and larger effort, still managing to sustain optimal performance in terms of correct responses, up to a point in which a breakdown of performance is observed through a decrease of correct responses rate. I suggest literature by Susanne Jaeggi about cognitive and working memory load.
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GSR has been used to determine stress levels, cognitive dilemma and response inhibition during tasks. My subjects completed brief surveys and a belief questionnaire while skin conductance levels were collected every .05 seconds. With my software, I am only given the GSR levels and timing as well as a simple visual line graph.
I would like to know how to measure overall fluctuation during the task. While the graph shows me "significant differences". Averages and standard deviations are "insignificant." I'm assuming there is a definite way to measure overall fluctuation in the entire process and would greatly appreciate some advice and guidance.
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Hello! Changes in skin conductance level are often estimated based on area under the curve or PP interval. This chapter might be useful: http://www.imd.inder.cu/adjuntos/article/487/Methods%20in%20Mind.pdf#page=116.
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I am interested in knowledge transfer processes and would like to study whether knowledge absorptive capacity can be increased by manipulating instructional design using cognitive load effects.
Could anyone share or guide me about the relationship between cognitive load and knowledge absorptive capacity, please?
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This is an interesting and highly current topic for educational research Sarunya, but I feel the advice to narrow the scope of your inquiry is quite valid. Reading your original query, the thing that struck me most was the need to operationally define the phrase "knowledge absorptive capacity" in clear, concrete terms. Does this phrase correspond in some way to working memory capacity? Or is it more aligned with the ability to abstract (and later recall) information from long-term memory? It will be difficult to progress your interest until such aspects of the inquiry are clarified. Certainly all the best with it...Tony Yeigh/SCU
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Recently, I became interested in cognitive load and emotional depletion on helping behavior. To know the role and the interaction effect between cognitive empathy and emotional empathy on helping behavior, I plan to set up some experiments. The problem is that very little studies have shown how to give an emotional load to participants in an experimental situation. Although some studies presented extremely horrible movies, such as 'The shining(1980),' I was wondering if anyone knows of more creative and innovative experimental methods to manipulate the extent of emotion?
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Butler uses a 11 minute film of the bombings of Hiroshima and Nagasaki and their aftermath. It produces a reliable emotional load to the point of resulting in significantly higher blood pressure especially among European Americans, but also among Asian Americans in general too, especially if they talk about the film afterwards (talking tends to reduce the blood pressure of Americans conversely). Professor Butler is very cooperative so I think it likely that she would be so kind as to share the stimulus.
Please see any of these papers
Butler, E. A. (2012). Emotion Regulation in Cultural Context: Implications for Wellness and Illness. In S. Barnow & N. Balkir (Eds.), Cultural Variations in Psychopathology: From Research to Practice. Hogrefe & Huber Pub. Retrieved from http://www.hogrefe.com/program/media/flyingbooks/600434/files/assets/basic-html/page17.html
Butler, E. A., Lee, T. L., & Gross, J. J. (2007). Emotion regulation and culture: Are the social consequences of emotion suppression culture-specific? Emotion, 7(1), 30.
Butler, E. A., Lee, T. L., & Gross, J. J. (2009). Does Expressing Your Emotions Raise or Lower Your Blood Pressure?: The Answer Depends on Cultural Context. Journal of Cross-Cultural Psychology, 40(3), 510–517. doi:10.1177/0022022109332845