AGIL: AI-Guided Inquiry Learning for Computational Drug Discovery

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Authors: Dayanjan Shanaka Wijesinghe
Cited by: 0

Abstract

AGIL (AI-Guided Inquiry Learning) is a pedagogical framework that synthesizes Process Oriented Guided Inquiry Learning (POGIL), Just-in-Time Teaching (JiTT), and AI-as-learning-partner for computational drug discovery education. This repository contains 20 guided inquiry notebooks (talktorials) and curriculum materials.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026