Professur für Technology Enhanced Learning (deutsch)
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Imen Azaiz

Imen Azaiz, M.Sc.

Doctoral Researcher

Kontakt

Ludwig-Maximilians-Universität München
Institut für Informatik
Lehr- und Forschungseinheit für Programmiersprachen und KI
Oettingenstraße 67
D-80538 München

Raum: D U104
Telefon: +49-89-2180-9318

 

Publikationen

  • Azaiz, Imen; Kiesler, Natalie; Strickroth, Sven; Zhang, Anni (2025, accepted). Open, Small, Rigmarole – Evaluating Llama 3.2 3B's Feedback for Programming Exercises. In: International Journal of Engineering Pedagogy (iJEP), pp. 18.
  • Strickroth, Sven; Azaiz, Imen (2025). Qualitative Analysis of Peer Reviews of a Large Introductory Programming Course. In: Computer Science Education, Routledge, DOI 10.1080/08993408.2025.2450587. [ BibTex, PDF ]
  • Azaiz, Imen; Kiesler, Natalie; Strickroth, Sven (2024). Feedback-Generation for Programming Exercises With GPT-4. In: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, ITiCSE 2024, Association for Computing Machinery, pp. 31–37, DOI 10.1145/3649217.3653594. [ BibTex, PDF ]
  • Azaiz, Imen; Strickroth, Sven (2024). Supporting Constructive Alignment: Visualization of the Alignment of Teaching Goals and Developed Assignments. In: Proceedings of DELFI 2024 – Die 22. Fachtagung Bildungstechnologien, Gesellschaft für Informatik e.V., DOI 10.18420/delfi2024_34. [ BibTex ]
  • Azaiz, Imen; Deckarm, Oliver; Strickroth, Sven (2023, December). AI-enhanced Auto-Correction of Programming Exercises: How Effective is GPT-3.5? In: International Journal of Engineering Pedagogy (iJEP) 8/13, pp. 67–83, DOI 10.3991/ijep.v13i8.45621. [ BibTex, PDF ]
  • Richter, Florian; Zellner, Ludwig; Azaiz, Imen; Winkel, David; Seidl, Thomas (2019). LIProMa: Label-Independent Process Matching. In (Di Francescomarino, Chiara; Dijkman, Remco; Zdun, Uwe (eds.)): Business Process Management Workshops, Springer International Publishing, pp. 186–198. [ BibTex ]