Hector-Institut für Empirische Bildungsforschung

Dr. Rania Abdelghani

Dr. Rania Abdelghani is a postdoc at the Hector Research Institute of Education Sciences and Psychology, working on the intersection of education, cognitive science, and human-AI interactions. 

Her work focuses on studying curiosity and question-asking mechanisms in students and how these can evolve when interacting with complex systems such as generative AI.

Address

University of Tübingen
Hector Research Institute of Education Sciences and Psychology
Europastraße 6, 72072 Tübingen, Room 406,
Germany

Contact

rania.abdelghanispam prevention@uni-tuebingen.de
07071/29-76553
 
 
 

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Publications

Publikationen

  • R. Abdelghani, Y.-H. Wang, X. Yuan, et al., “Gpt-3-driven pedagogical agents to train children’s curious question-asking skills,” International Journal of Artificial Intelligence in Education, pp. 1–36, 2023.
  • R. Abdelghani, P.-Y. Oudeyer, E. Law, C. de Vulpillières, and H. Sauzéon, “Conversational agents for fostering curiosity-driven learning in children,” International Journal of Human-Computer Studies, vol. 167, p. 102 887, 2022.
  • R. Abdelghani, H. Sauzéon, and P.-Y. Oudeyer, “Generative ai in the classroom: Can students remain active learners?” in GAIED workshop (Generative AI for Education) at Neurips, New Orleans, 2023.
  • R. Abdelghani, E. Law, C. Desvaux, P.-Y. Oudeyer, and H. Sauzéon, “Interactive environments for training children’s curiosity through the practice of metacognitive skills: A pilot study,” in Proceedings of the 22nd Annual ACM Interaction Design and Children Conference, 2023, pp. 495–501.
  • Z. Xiao, X. Yuan, Q. V. Liao, R. Abdelghani, and P.-Y. Oudeyer, “Supporting qualitative analysis with large language models: Combining codebook with gpt-3 for deductive coding,” in Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023, pp. 75–78.
  • X. Yuan, T. Wang, Y.-H. Wang, R. Abdelghani, et al., “Selecting better samples from pre-trained LLMs: A case study on question generation,” in Findings of the Association for Computational Linguistics: ACL 2023, A. Rogers, J. Boyd-Graber, and N. Okazaki, Eds., Toronto, Canada: Association for Computational Linguistics, Jul. 2023, pp. 12 952–12 965.
  • R. Stower, R. Abdelghani, M. Tschopp, K. Evangelista, M. Chetouani, and A. Kappas, “Exploring space for robot mistakes in child robot interactions,” Interaction Studies, vol. 23, no. 2, pp. 243–288, 2022.

Curriculum Vitae

Since 11-2024
Postdoctoral researcher, Hector Research Institute of Education Sciences and Psychology

AI and education 
University of Tübingen

01/2021 - 9/2024
PhD student

Cognitive science & Human-AI interactions in education 
Inria University of Bordeaux

09/2018 - 11/2020
Msc student

Engineering sciences
Sorbonne University

09/2014 - 11/2019
MEng student

Smart systems 
INSA TunisUniversität Tübingen