Leona Colling

Leona Colling is a Scientist and doctoral student at the Leibniz Institute for Knowledge Media (IWM) since January 2025, working in the Language and AI in Education Lab led by Prof. Dr. Detmar Meurers. Her research focuses on the AI2Teach project, developing the FeedBook intelligent tutoring system to enhance foreign language education through learning analytics and computational linguistics for K-12 classrooms.

Her academic background includes a B.Sc. in Cognitive Science from the University of Tübingen and an M.Sc. in Artificial Intelligence from the University of Edinburgh. Prior to her doctoral studies, she gained industry experience at IBM in AI & Data Science.

• B.Sc. Cognitive Science, University of Tübingen
• M.Sc. Artificial Intelligence, University of Edinburgh

Colling's research centers on user-centered dashboard design for language learning, investigating how computational linguistics and learning analytics can bridge teacher needs with student process data. Her work emphasizes task-oriented pedagogy and adaptivity in intelligent tutoring systems to improve educational outcomes.

Her 2023-2024 publications reveal a consistent focus on dashboard effectiveness, with themes spanning criterion-referenced assessment, exercise performance analysis, and practical implementation challenges in real-world classrooms across multiple international conferences.

No scientific awards or fellowships are documented in the available information.

As a doctoral researcher in the AI2Teach project (2020-2026), Colling contributes to FeedBook's development but does not advise students. Her grant involvement centers on this multi-year initiative funded through IWM's research infrastructure.

Within the Language and AI in Education Lab, she collaborates with a multidisciplinary team including computational linguists, learning scientists, and software developers to advance theory-informed educational technologies grounded in empirical classroom validation.