Learning to learn with AI: how AI policy reshapes learning trajectories in software engineering education

Behaviour and Information Technology 2026

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Authors: Andrea Vázquez-Ingelmo, M. Puerto Paule-Ruiz, Francisco José García‐Peñalvo, Alicia García-Holgado
DOI: 10.1080/0144929x.2026.2676747
Cited by: 1
References: 32

Abstract

This study examines how formal AI guidelines affect student engagement and performance in a Software Engineering course at a Spanish university. Using a quasi-experimental design across four cohorts (2021–2025), we analysed Moodle logs and milestone grades from 284 students (n = 142 pre-AI; n = 142 post-AI). Methods included K-means clustering, MANOVA validation, and independent-samples t-tests. Clustering identified distinct behavioural profiles (MANOVA ηp2=0.389−−0.879, all p

Fields of Study & Subjects

Ethics and Social Impacts of AI Teaching and Learning Programming Online Learning and Analytics

Publication details

Journal / source
Behaviour and Information Technology
Publisher
Informa UK Limited
Pages
1–24
Publication date
24 May 2026
Language
EN