EvalQuiz – LLM-based Automated Generation of Self-Assessment Quizzes in Software Engineering Education
| dc.contributor.author | Meißner, Niklas | |
| dc.contributor.author | Speth, Sandro | |
| dc.contributor.author | Kieslinger, Julian | |
| dc.contributor.author | Becker, Steffen | |
| dc.contributor.editor | Schmolitzky, Axel | |
| dc.contributor.editor | Klikovits, Stefan | |
| dc.date.accessioned | 2024-03-12T10:09:19Z | |
| dc.date.available | 2024-03-12T10:09:19Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Self-assessment quizzes after lectures, educational videos, or chapters are a commonly used method in software engineering (SE) education to give students the opportunity to test their gained knowledge. However, the creation of these quizzes is time-consuming, cognitively exhausting, and complex, as an expert in the field needs to create the quizzes and review the lecture material for validity. Therefore, this paper presents a concept to automatically generate self-assessment quizzes based on lecture material using a large language model (LLM) to reduce lecturers' workload and simplify the ... | en |
| dc.identifier.doi | 10.18420/seuh2024_04 | |
| dc.identifier.isbn | 978-3-88579-255-0 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43790 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Software Engineering im Unterricht der Hochschulen 2024 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-346 | |
| dc.subject | Self-Assessment | |
| dc.subject | Software Engineering Education | |
| dc.subject | Automatic Question Generation | |
| dc.subject | GPT-4 | |
| dc.subject | Prompt Engineering | |
| dc.title | EvalQuiz – LLM-based Automated Generation of Self-Assessment Quizzes in Software Engineering Education | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 64 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 53 | |
| gi.conference.date | 29. Februar - 1.März 2024 | |
| gi.conference.location | Linz, Österreich |
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