Course12710100380 lectures

Designing AI-driven Personalised Learning Environments

Prof. Ramkumar Rajendran · IIT Bombay

About

This course introduces the theoretical foundations, computational models, and design principles underlying AI-driven Personalised Adaptive Learning (PAL) systems. The course begins by grounding personalisation in key learning theories, including constructivism, self-regulated learning, cognition, and metacognition. It traces the historical evolution from Computer-Assisted Instruction (CAI) to classical ITS and contemporary Personalised Learning Environments (PLEs). Central to the course is the well-established four-model architecture of ITS—domain model, learner model, pedagogical model, and interface model—which serves as an organising framework throughout. The course also situates PAL systems within the broader AI landscape by distinguishing traditional AI approaches from recent developments in large language models and discussing their affordances and limitations for adaptive learning. Importantly, the course extends beyond computer-based learning environments to examine how personalisation can be embedded in classrooms, blended settings, and emerging contexts such as VR-based learning.

Intended audience: Anyone doing BE/BTech or B.Ed education

Lectures

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Syllabus and materials

At NPTEL, as the course publishes them.

Syllabus

Credits and licence

Institution: IIT Bombay
Department: Multidisciplinary
Teacher: Prof. Ramkumar Rajendran
Level: Undergraduate
Language: English
Source: NPTEL
Licence: CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution: NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch: NPTEL gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed