Reimagining higher education with AI‑driven learning platforms

By Dr. D.C. Kiran, Associate Professor, School of Engineering and Technology, Vidyashilp University

The past decade has seen a notable shift in how students, particularly those outside quantitative or computational disciplines, engage with analytical reasoning. Learners from psychology, media studies, design, and the humanities now routinely interact with datasets, elementary models, and systems-level representations. This trend is not merely anecdotal; several studies of student engagement patterns in OECD and G20 contexts suggest that early exposure to interactive digital tools increases the likelihood of cross-disciplinary exploration, even in non-technical domains. A psychology learner interpreting economic indicators or a journalism student mapping narrative structures through automated text analysis is, therefore, no longer atypical. It reflects a reconfiguration in the accessibility of analytical tasks.

This shift does not imply that disciplinary boundaries have dissolved. Rather, the proliferation of AI-assisted learning platforms has altered both the threshold and sequencing ...