Year: 2025
Type: article
Abstract: The human mind, in all its ornate intricacy, resists categorisation, yet in its resistance lies the very key to unlocking personalised education. This paper traverses the intersection of artificial intelligence and neuropsychology, seeking not merely to model learner behaviour, but to decode the symphony of cognition that defines individual learning. It is one thing to teach the average, and it is another to teach the individual. By channelling the predictive elegance of Multilayer Perceptron and the generative mimicry of GANs, the authors attempt to sculpt AI systems that understand the slow, the average, and the fast learner not as datapoints, but as dynamic neurological expressions. The work explores whether such systems, imbued with the heuristics of cognitive style and the resonance of personality typologies like MBTI and ILS, can evolve into neuro- aligned pedagogical agents. Rather than reduce learning to analytics alone, the study embraces the challenge of mapping the brain’s plasticity onto algorithmic adaptability, bridging education with empathy, one layer at a time.
Authors: Deborah T. Joy, Charu Jain, Shalini B. Bajaj, Ekta Soni
Institution: Amity University Gurugram
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4413295452