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Shilpi Taneja; Siddhartha Sankar Biswas; Bhavya Alankar; Harleen Kaur – Electronic Journal of e-Learning, 2025
This paper presents the design of a personalized learning agent powered by the Agentic RAG technique. The agent can interpret learners' queries and autonomously decide which tools should be used to generate the most suitable response. When the learner shares an Open Educational Resource (OER) they wish to learn from, the agent first breaks the…
Descriptors: Artificial Intelligence, Natural Language Processing, Open Educational Resources, Individualized Instruction
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Gina Paola Barrera Castro; Andres Chiappe; Diego Fernando Becerra Rodríguez; Felipe Gonzalo Sepulveda – Electronic Journal of e-Learning, 2024
Personalized learning, a pedagogical approach tailored to individual needs and capacities, has garnered considerable attention in the era of artificial intelligence (AI) and the fourth industrial revolution. This systematic literature review aims to identify key drivers of personalized learning and critically assess the role of AI in reinforcing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Individualized Instruction, Role Theory
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Sheejamol P. T.; Anu Mary Chacko; S. D. Madhu Kumar – Electronic Journal of e-Learning, 2025
Traditional education, characterized by rigid curricula and inflexible teaching methods, often fails to accommodate the diverse cognitive profiles of neurodivergent learners, including those with Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD), and dyslexia. Although e-Learning has introduced greater flexibility and…
Descriptors: Individualized Instruction, Gamification, Electronic Learning, Students with Disabilities
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Tapalova, Olga; Zhiyenbayeva, Nadezhda – Electronic Journal of e-Learning, 2022
Artificial intelligence is the driving force of change focusing on the needs and demands of the student. The research explores Artificial Intelligence in Education (AIEd) for building personalised learning systems for students. The research investigates and proposes a framework for AIEd: social networking sites and chatbots, expert systems for…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Electronic Learning
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Robberecht, Ronald – Electronic Journal of e-Learning, 2007
E-learning materials often have a linear design where all learners are forced into a single-mode pedagogy, which is contrary to the interaction that occurs in face-to-face learning. Ideally, e-learning materials should be nonlinear, interactive, contain context-sensitive and active learning elements, and accommodate various learning levels and…
Descriptors: Electronic Learning, Educational Technology, Technology Uses in Education, Instructional Materials
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Tavangarian, Djamshid; Leypold, Markus E.; Nölting, Kristin; Röser, Marc; Voigt, Denny – Electronic Journal of e-Learning, 2004
Despite the fact that e-Learning exists for a relatively long time, it is still in its infancy. Current e-Learning systems on the market are limited to technical gadgets and organizational aspects of teaching, instead of supporting the learning. As a result the learner has become deindividualized and demoted to a noncritical homogenous user. One…
Descriptors: Electronic Learning, Individualized Instruction, Computer System Design, Courseware