A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Utilizing Large Language Model for Programming Course Exercise Generation
Tekijät: Kaila, Erkki; Rytilahti, Juuso; Lempinen, William; Lindgren, Luuka
Toimittaja: Arabnia, Hamid R.; Deligiannidis, Leonidas; Amirian, Soheyla; Ghareh Mohammadi, Farid; Shenavarmasouleh, Farzan
Konferenssin vakiintunut nimi: International Conference on the AI Revolution
Julkaisuvuosi: 2026
Lehti: Communications in Computer and Information Science
Kokoomateoksen nimi: AI Revolution : Research, Ethics and Society : International Conference, AIR-RES 2025, Las Vegas, NV, USA, April 14–16, 2025, Proceedings, Part I
Vuosikerta: 2721
Aloitussivu: 204
Lopetussivu: 217
ISBN: 978-3-032-12312-1
eISBN: 978-3-032-12313-8
ISSN: 1865-0929
eISSN: 1865-0937
DOI: https://doi.org/10.1007/978-3-032-12313-8_15
Julkaisun avoimuus kirjaamishetkellä: Ei avoimesti saatavilla
Julkaisukanavan avoimuus : Osittain avoin julkaisukanava
Verkko-osoite: https://doi.org/10.1007/978-3-032-12313-8_15
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/508231613
Rinnakkaistallennetun julkaisun versio: Final draft
Large language models (LLMs) are potentially powerful tools for automating educational tasks. In this paper, we observe two use cases of LLMs related to introductory programming education. In the first case, we created an LLM-based tool for creating variations of existing exercises. In the second case, we used LLM for generating the unit tests and good-quality feedback for students’ answers to programming exercises. Both approaches were studied by gathering data from two instances of a large introductory programming course. Our results indicate, that both approaches were successful. In addition to discussing the results, we discuss the insights gained, the identified use cases, and the significance of the rapid progress the LLMs have on programming education.
Julkaisussa olevat rahoitustiedot:
This work has been supported by FAST, the Finnish Software Engineering Doctoral Research Network, funded by the Ministry of Education and Culture, Finland.
