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 (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. [ BibTexPDF ]
  • Azaiz, Imen; Strickroth, Sven (2024, to appear). Supporting Constructive Alignment: Visualization of the Alignment of Teaching Goals and Developed Assignments. In: Proc. DELFI2024.
  • 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. [ BibTexPDF ]
  • 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 ]