Research Associate in Educational Technologies at studiumdigitale, Goethe University Frankfurt, Germany
Email: mateen [at] studiumdigitale.uni-frankfurt.de
Saba Mateen is a research associate at Goethe University, where she specializes in accessibility and the integration of Artificial Intelligence (AI) into educational assessment. In particular, her work focuses on Machine Learning, especially Natural Language Processing, to improve fairness, efficiency and accuracy in the assessment of medium-length exam texts. Saba's research also addresses the pedagogical and ethical dimensions of AI-driven assessment, such as ensuring the quality of feedback and the explainability of AI systems. By studying user experiences and teachers' interactions with AI tools, she aims to develop grading procedures that are less prone to bias and promote educational equity and effectiveness.
- Machine Learning, Natural Language Processing
- AI Literacy
- Accessibility
- UX
- Master's Degree in Computer Science, Goethe University, 2019 - 2022
- Bachelor's Degree in Computer Science, Goethe University, 2016 - 2019
- Liu, T. , Mateen, S. (2023). A Novel Ensemble Method for Automated Short Answer Grading Based on Continuous Response IRT, May 08-10, 2023-Abstract Collection. In Symposium on Big Data and Research Synthesis in Psychology, Frankfurt, Germany. ZPID (Leibniz Institute for Psychology Information).
- Mateen, S., Wiesemüller, P. & Voß-Nakkour, S. (2023). Access to Escape: Didactic Conception and Accessible Game Design of a VR-Escape Room for Accessibility Education. International Journal on Advances in Intelligent Systems, 16 (3&4), 113–126.
- Mateen, S., Wiesemüller, P., Voß-Nakkour, S. (2023). Design of an Accessible VR-Escape Room for Accessibility Education. SMART ACCESSIBILITY 2023, The Eighth International Conference on Universal Accessibility in the Internet of Things and Smart Environments, Venice, Italy.
- Mateen, S., Voß-Nakkour, S., Grimminger, S., Rustemeier, L., (2023): Inklusive Campuspläne: Anforderungen, State of the Art und Umsetzungsmöglichkeiten. DOI: https://doi.org/10.21248/gups.69150. In Voß-Nakkour, S., Rustemeier, L., Möhring, M. M., Deitmer, A., Grimminger, S. (Hrsg.) (2023). Digitale Barrierefreiheit in der Bildung weiter denken. Innovative Impulse aus Praxis, Technik und Didaktik. Universitätsbibliothek Johann Christian Senckenberg.
- Mateen, S., Voß-Nakkour, S. & Rustemeier, L., (2020). Eine Studie zur Qualitätsbeurteilung von automatisierten Testwerkzeugen zur Prüfung auf Barrierefreiheit. In: Zender, R., Ifenthaler, D., Leonhardt, T. & Schumacher, C. (Hrsg.), DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V.. Bonn: Gesellschaft für Informatik e.V.. (S. 157-168).