- Titel
- Extending Artemis With a Rule-Based Approach for Automatically Assessing Modeling Tasks
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-808077
- Erstveröffentlichung
- 2022
- Datum der Einreichung
- 20.05.2022
- Datum der Verteidigung
- 02.06.2022
- Abstract (EN)
- The Technische Universität Dresden has multiple e-learning projects in use. The Chair of Software Technology uses Inloop to teach students object-oriented programming through automatic feedback. In the last years, interest has grown in giving students automated feedback on modeling tasks. This is why there was an extension developed by Hamann to automate the assessment of modeling tasks in 2020. The TU Dresden currently has plans to replace Inloop with Artemis, a comparable system. Artemis currently supports the semi-automatic assessment of modeling exercises. In contrast, the system proposed by Hamann, called Inloom, is based on a rule-based approach and provides instant feedback. A rule-based system has certain advantages over a similarity-based system. One advantage is the mostly better feedback that these systems generate. To give instructors more flexibility and choice, this work tries to identify possible ways of extending Artemis with the rule-based approach Inloom. In the second step, this thesis will provide a proof of concept implementation. Furthermore, a comparison between different systems is developed to help instructors choose the best suitable system for their usecase.
- Freie Schlagwörter (DE)
- regelbasiertes Bewerten von Modellierungsaufgaben, Artemis - interaktives Feedback und Bewertung, automatische Bewertung von Modellierungsaufgaben, UML Diagramme, Bildung
- Freie Schlagwörter (EN)
- rule-based assessment of modeling exercises, Artemis - interactive learning and feedback, automatic grading of modeling exercises, uml diagrams, e-learning, education
- Klassifikation (DDC)
- 006
- Klassifikation (RVK)
- ST 274
- ST 278
- AL 40450
- GutachterIn
- Dr. Sebastian Götz
- Prof. Dr. rer. nat. habil. Uwe Aßmann
- Den akademischen Grad verleihende / prüfende Institution
- Technische Universität Dresden, Dresden
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-808077
- Veröffentlichungsdatum Qucosa
- 27.09.2022
- Dokumenttyp
- Bachelorarbeit
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0- Inhaltsverzeichnis
Introduction, Background, Related Work, Analysis, System Design, Implementation, Evaluation, Conclusion and Future Work, Bibliography, Appendix