Feedback to Students and Instructors of a Programming Course Through a Large Language Model

PDF (English)
Δημοσιευμένα: Ιαν 4, 2026
DOI: https://doi.org/10.12681/cetpe.9388
Aggelos Diamantopoulos
Department of Computer Engineering and Informatics, University of Patras
Christos Sintoris
Department of Electrical and Computer Engineering, University of Patras
Stavros Demetriadis
Computer Science Department, Aristotle University of Thessaloniki
Nikolaos Avouris
Department of Electrical and Computer Engineering, University of Patras
Περίληψη

This study investigates how Large Language Models (LLMs) can be used to deliver formative feedback
to first-year students in an introductory programming course and to provide instructors with insights
into overall class performance. It aims to evaluate the quality of feedback generated by these models and
compare their performance with human evaluators on programming assignments. In addition, it explores
the user experience of interacting with the AI tutor. Findings underscore the potential of advanced AI to
enhance personalized learning and formative assessment in educational settings.

Λεπτομέρειες άρθρου
  • Ενότητα
  • Articles