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Legitimizing Learners through IoT Education in Research and Extension Strategy
ISBN: 978-93-90203-41-3
268
DELVING THE TRANSFORMATIVE POTENTIAL OF AI-ENHANCED LEARNING
PATHS FOR THE ENRICHMENT OF STUDENT KNOWLEDGE
Bhaskar Gurramkonda
Research Scholar
Imran Ali Sahaji
Research Scholar
Central University of Kerala.
Abstract
The integration of artificial intelligence (AI) into education is ushering in a transformative era
in India's educational landscape, aligning with the visionary framework of the National
Education Policy (NEP) 2020. This paper delves into the profound impact of NEP 2020 on
technology integration in education, emphasizing AI and adaptive learning. It explores AI-
powered personalization's potential to revolutionize education by tailoring it to each learner's
unique needs and examines AI's role in assessments, ensuring tailored evaluation and feedback.
The seamless integration of AI into Indian education is highlighted, reshaping access and quality.
AI's potential for personalized learning is realized through adaptive learning paths and AI-
powered personalization, offering dynamic and customized educational experiences. AI question
paper generators, AI chatbots, and tools like Moodle and Microsoft Teams enhance learning and
assessment. However, challenges such as infrastructure disparities, language diversity, content
quality, teacher training, data privacy, and cultural acceptance must be addressed. Collaborative
efforts among educational institutions, policymakers, technology developers, and educators are
crucial to maximize AI's benefits. This fusion of NEP 2020 and AI-driven innovation empowers
learners with adaptable, personalized, and globally competitive education, ensuring that India's
educational ecosystem thrives in the digital age. As India endeavours to provide quality
education to all, this convergence promises a brighter and more inclusive future where education
genuinely adapts to the learner's unique needs and aspirations.
Introduction
In an era of rapid technological advancement, the fusion of artificial intelligence
(AI) and education represents a beacon of innovation. India's National Education
Policy (NEP) 2020, a visionary framework, seeks to catapult the nation's education
landscape into this transformative realm. NEP 2020 recognizes technology's pivotal
role in nurturing holistic development and preparing learners for the digital age. This
discourse explores NEP 2020's profound impact on technology integration in
education, emphasizing AI and adaptive learning. It reveals AI-powered
personalization's potential to revolutionize education by aligning it with each learner's
unique needs. The journey continues into AI's role in assessments, providing tailored
evaluation and feedback. It spotlights the seamless integration of AI into Indian
education, reshaping access and quality. This exploration unveils the convergence of
NEP 2020 and AI-powered education, shaping a learning future where education
adapts, empowers, and evolves to meet learners' ever-changing needs in the digital
age.
Legitimizing Learners through IoT Education in Research and Extension Strategy
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Need of AI-Integrated Learning in the Indian Context
The National Education Policy (NEP) 2020 is a transformative framework that
envisions the holistic development of learners in India. In the context of technology
integration in education, NEP 2020 places significant emphasis on harnessing the
power of technology to revolutionize learning(Pawan, 2020). It recognizes technology as
a crucial enabler, advocating for the integration of digital tools, online resources, and
artificial intelligence in education.
NEP 2020 outlines the importance of creating digital infrastructure and online
resources to expand access to quality education, especially in remote and underserved
areas. It encourages the development of personalized, adaptive learning solutions,
promoting a student-centric approach(Sharma et al., 2023). Moreover, the policy
emphasizes the cultivation of digital literacy and computational thinking from an early
age, aligning with the rapidly evolving digital landscape.
The National Education Policy (NEP) 2020 heralds a transformative shift in India's
educational landscape by emphasizing technology integration in learning(Cooper et al.,
2019). It seeks to harness the power of digital tools and platforms to modernize
education.
Key Reforms: Holistic Education, Flexible Curricular Framework, Digital
Infrastructure(Nep 2020)Goals: Digital Literacy, Customized Learning, Global
Competence.
Use of AI in Creating Adaptive Learning Paths
The incorporation of artificial intelligence (AI) into adaptive learning pathways
signifies a profound transformation in education. AI employs machine learning and
data analytics to personalize the learning experience, tailoring it to each learner's
unique needs and progress. This adaptation ensures a more engaging and effective
educational journey, revolutionizing traditional learning models.
AI-Powered Personalization in Learning
AI-powered personalization is a transformative innovation in education and
beyond. AI utilizes sophisticated algorithms to analyze user behavior and create
detailed profiles, allowing for tailored content and learning materials. This
personalization improves engagement, efficiency, and user satisfaction by reducing
information overload and customizing the learning experience. It transforms the
educational experience into an adaptive and dynamic journey, ensuring that every
interaction aligns with an individual's distinct requirements and objectives(Cooper et
al., 2019). In essence, it represents the future of personalized, data-driven experiences
across a wide range of domains.
This AI personalised Learning can be done into two forms:
AI Personalised Learning websites
The notable AI personalised learning websites currently in active and trending in
India are Khan Academy: Khan Academy uses AI to personalise lessons and exercises
Legitimizing Learners through IoT Education in Research and Extension Strategy
ISBN: 978-93-90203-41-3
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based on a student’s skill level and progress. Coursera: Coursera offers personalised
course recommendations based on user’s interests and goals. Their Ai-driven feedback
system also helps learners improve their performance. Skill Share, Edx: EdX offers
personalized learning experiences and course recommendations based on a user’s
preferences and performance. (Assessments, 2023)
AI Personalised Learning websites Tools
Moodle, Microsoft teams, Canvas, Buzz, Carnegie Learning, Grammarly, AI
chatbots, AI personalisation in Assessment (Kem, 2022).
AI-driven personalization in education transforms the learning process by tailoring
it to each student's unique strengths and weaknesses. Machine learning algorithms
analyze students' interactions and preferences to craft a personalized educational
journey. For instance, in language learning, AI assesses language proficiency and
adjusts exercise difficulty. In mathematics, it provides extra practice in challenging
areas. EdTech platforms like Duolingo and Khan Academy employ AI for personalized
learning. Duolingo adapts language lessons based on progress, while Khan Academy
customizes math content to address knowledge gaps. This customization enhances
engagement, retention, and academic success by delivering content aligned with
students' proficiency and learning styles, making learning more effective and
enjoyable.
Adaptive Assessment and Feedback
AI question paper generator, Eklavvya, Smart Sparrow, Dreambox, Grade slam,
Pearson AI, Duolingo, Edmentum, Cognii, Turnitin, Nearpod.
Challenges and Opportunities
Implementing AI-integrated adaptive learning in India presents several challenges that
must be addressed to harness the full potential of this technology in the educational
landscape:
Infrastructure Disparities: Rural and remote areas often lack the necessary
technological infrastructure, including reliable internet connectivity and access
to devices. Bridging this digital divide is essential to ensure equitable access to
AI-powered learning tools.
Language Diversity: India boasts a multitude of languages and dialects.
Developing AI systems that can cater to linguistic diversity, especially in
content creation and communication, poses a significant challenge(Juyeong
Song et al., 2022).
Quality Content: Creating high-quality, contextually relevant educational
content for AI-driven platforms is crucial. Maintaining content quality across
multiple languages and regions requires substantial resources.
Teacher Training: Preparing teachers to effectively integrate AI into their
teaching methods is essential. Many educators may not be familiar with AI
technology, necessitating comprehensive training programs(Celik et al., 2022).
Legitimizing Learners through IoT Education in Research and Extension Strategy
ISBN: 978-93-90203-41-3
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Data Privacy and Security: Safeguarding student data is paramount.
Implementing robust data privacy measures and complying with relevant
regulations, such as India's Personal Data Protection Bill, is crucial(Hu, 2021).
Cultural and Societal Acceptance: Shifting from traditional teaching methods
to AI-integrated learning may face resistance from educators, parents, and
students due to cultural norms and a preference for conventional
education(Akgun & Greenhow, 2022).
Assessment and Evaluation: Developing AI-driven assessment methods that
accurately measure student performance and comprehension is a complex task.
Ensuring that assessments are fair and free from bias is also
challenging(González-Calatayud et al., 2021).
Content Localization: Adapting AI-integrated learning content to align with
diverse cultural and regional contexts is an ongoing challenge, requiring
continuous updates and refinement.
Addressing these challenges demands a concerted effort from educational
institutions, policymakers, technology developers, and the wider community. By
doing so, India can harness the potential of AI-integrated adaptive learning to
provide a more inclusive and effective education for its diverse population.
Conclusion
India's National Education Policy (NEP) 2020 and the integration of artificial
intelligence (AI) in education are on a transformative path that offers great promise
(Cooper et al., 2019). NEP 2020 recognizes technology's role in holistic development
and digital readiness, emphasizing digital infrastructure, personalized learning, and
digital literacy. AI's use in creating adaptive learning paths and personalized
experiences is at the forefront, tailoring education to individual needs. However,
challenges like infrastructure gaps, language diversity, content quality, and teacher
training must be addressed. Collaboration among stakeholders is vital to harness AI's
benefits while managing challenges. This fusion of NEP 2020 and AI-driven innovation
empowers learners and ensures a competitive, adaptable education system in India's
digital age
Reference
1. Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical
challenges in K-12 settings. AI and Ethics, 2(3), 431–440.
https://doi.org/10.1007/s43681-021-00096-7
2. Assessments, E. (2023, February 21). 31 Incredible AI Tools for Education You Need to
Try Right Now!. Online Skill Assessment | Online Exam Software | Eklavvya.Com.
https://www.eklavvya.com/blog/ai-edtech-tools/
