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@article{183769,
author = {Nithin Gowda M T and K S Poorvik and Mithun R and Suhas B S and Dr. Ramesh B},
title = {Integrating Cognitive Science Principles into Generative AI–Based Education: A Research Synthesis},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {3},
pages = {2963-2972},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=183769},
abstract = {Abstract—Education has never been a simple matter of transferring facts from one mind to another; it is a living exchange that shapes how people think, create, and participate in society. Digital technologies have expanded this exchange beyond classroom walls, but most online systems still ask students to passively watch and read rather than actively make meaning. The results are familiar: information overload, shallow comprehension, and memory that fades too quickly. This paper argues that generative artificial intelligence (Gen AI), when grounded in well-established cognitive science, can help education cross the gap from access to actual learning. We bring together research on forgetting and spaced reinforcement, retrieval practice and testing effects, chunking and cognitive load, and reflective teaching to inform an AI-driven platform that turns long, lecture-centric material into human-friendly learning experiences.
Our approach converts instructor-uploaded videos into transcripts, highlights, summaries, flashcards, retrieval-oriented quizzes, and conversational modules, and then orchestrates those pieces with review schedules that align with memory science. We describe the end-to-end system and report early evidence of its feasibility and learner experience. While we acknowledge the limits, such as sensitivity to prompt quality and audio conditions, the broader pattern is clear: aligning Gen AI with how the brain learns can improve engagement and retention without replacing human teachers. Instead, AI becomes a cognitive partner that scaffolds attention, reflection, and practice on a large scale. In doing so, it nudges online education away from passive consumption and toward a more humane, adaptive, and durable form of learning.},
keywords = {Generative AI, Cognitive Science, Online Learning, Active Recall, Feynman Technique, Spaced Repetition, Adaptive Education},
month = {August},
}
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