Large Language Models in Computer Science Education: A Review of Opportunities and Challenges and A Survey on Student Perceptions
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Perustieteiden korkeakoulu |
Bachelor's thesis
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Authors
Date
2024-04-26
Department
Major/Subject
Tietotekniikka
Mcode
SCI3027
Degree programme
Teknistieteellinen kandidaattiohjelma
Language
en
Pages
27
Series
Abstract
Large Language Models and their applications, such as ChatGPT, have changed the educational landscape. Large Language Models might increase the productivity of both students and instructors, but there are several concerns, including academic misconduct and compromised student learning. This thesis explores the opportunities and challenges of integration of Large Language Models in teaching and learning. The thesis consists of a literature review and an empirical part. The literature review covers opportunities and challenges of integration of Large Language Models in computer science education. The empirical part is based on the analysis of student survey data. The survey results show that LLM use enhances student perceptions of engagement, confidence, and motivation. These findings might be used to inform educators about changes in student learning processes, so that they can make informed decisions on how to adjust teaching.Description
Supervisor
Savioja, LauriThesis advisor
Hellas, ArtoKeywords
large language models, LLM, computer science education