Ann-Christin Falhs, M. A.

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Curriculum Vitae

• Academic Degrees:
  • Master of Arts, Educational Science, Ruhr-Universität Bochum, 2021
  • Bachelor of Arts, Educational Science and Biology, Ruhr-Universität Bochum, 2012
• Position: Research Scientist/ Ph.D. Student

Curriculum Vitae (PDF)

Focus of Research

• Teacher-AI-Augmentation
• Intelligent Tutoring-Systems (ITS)
• Learning Progression Analytics (LPA)

Projects

• TAICo (Teacher-AI Complementarity) (Start: 02/2025)
• ALICE (Learning Progression Analytics – Analyzing Learning for Individualized Competence development in mathematics and science Education)(abgeschlossen; 04/2021 - 12/2024)

Selected Publications and Conference Contributions

Yang, K. B.*, Borchers, C.*, Falhs, A.-C., Echeverria, V., Karumbaiah, S., Rummel, N., & Aleven, V. (2024). Leveraging Multimodal Classroom Data for Teacher Reflection: Teachers’ Preferences, Practices, and Privacy Considerations. In R., Ferreira Mello, N., Rummel, I., Jivet, G., Pishtari, J.A. Ruipérez Valiente (Eds.) Proceedings of the 19th European Conference on Technology Enhanced Learning, EC-TEL 2024 (pp. 498-511) Springer https//doi.org/10.1007/978-3-031-72315-5_34

Karumbaiah, S., Borchers, C., Falhs, A.-C., Holstein, K., Rummel, N., & Aleven, V. (2023). Teacher noticing and student learning in human-AI partnered classrooms: A multimodal analysis. Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023, 1042–1045. https://doi.org/https://doi.org/10.22318/icls2023.151200

Karumbaiah, S., Borchers, C., Shou, T., Falhs, A.-C., Liu, P., Nagashima, T., Rummel, N., & Aleven, V. (2023). A spatiotemporal analysis of teacher practices in supporting student learning and engagement in an AI-enabled classroom. In: Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O.C., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2023. Lecture Notes in Computer Science, vol 13916. Springer, Cham. https://doi.org/10.1007/978-3-031-36272-9_37

Falhs, A.-C., Wichmann, A. & Rummel, N. (2023, September 27). LAMARR Institute for Machine Learning and Artificial Intelligence. Blog-Beitrag: Lernpfade (digital) begleiten: Intelligente Tutorielle Systeme https://lamarr-institute.org/de/blog/ki-bildung-intelligente-tutorielle-systeme/