Evaluating Contextually Personalized Programming Exercises Created with Generative AI
Publiceringsår
2024
Upphovspersoner
Logacheva, Evanfiya; Hellas, Arto; Prather, James; Sarsa, Sami; Leinonen, Juho
Abstrakt
Programming skills are typically developed through completing various hands-on exercises. Such programming problems can be contextualized to students’ interests and cultural backgrounds. Prior research in educational psychology has demonstrated that context personalization of exercises stimulates learners’ situational interests and positively affects their engagement. However, creating a varied and comprehensive set of programming exercises for students to practice on is a time-consuming and laborious task for computer science educators. Previous studies have shown that large language models can generate conceptually and contextually relevant programming exercises. Thus, they offer a possibility to automatically produce personalized programming problems to fit students’ interests and needs. This article reports on a user study conducted in an elective introductory programming course that included contextually personalized programming exercises created with GPT-4. The quality of the exercises was evaluated by both the students and the authors. Additionally, this work investigated student attitudes towards the created exercises and their engagement with the system. The results demonstrate that the quality of exercises generated with GPT-4 was generally high. What is more, the course participants found them engaging and useful. This suggests that AI-generated programming problems can be a worthwhile addition to introductory programming courses, as they provide students with a practically unlimited pool of practice material tailored to their personal interests and educational needs.
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Publikationstyp
Publikationsform
Artikel
Moderpublikationens typ
Konferens
Artikelstyp
Annan artikel
Målgrupp
VetenskapligKollegialt utvärderad
Kollegialt utvärderadUKM:s publikationstyp
A4 Artikel i en konferenspublikationPublikationskanalens uppgifter
Moderpublikationens namn
ICER '24 : Proceedings of the 2024 ACM Conference on International Computing Education Research
Moderpublikationens redaktörer
Denny, Paul; Porter, Leo; Hamilton, Margaret; Morrison, Briana
Förläggare
Volym
1
Sidor
95-113
ISBN
Publikationsforum
Publikationsforumsnivå
1
Öppen tillgång
Öppen tillgänglighet i förläggarens tjänst
Ja
Öppen tillgång till publikationskanalen
Helt öppen publikationskanal
Parallellsparad
Ja
Övriga uppgifter
Vetenskapsområden
Data- och informationsvetenskap
Nyckelord
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Förlagets internationalitet
Internationell
Språk
engelska
Internationell sampublikation
Ja
Sampublikation med ett företag
Nej
DOI
10.1145/3632620.3671103
Publikationen ingår i undervisnings- och kulturministeriets datainsamling
Ja