In his habilitation project, he is working on questions regarding the use of generative AI for feedback aimed at pupils. After passing his first state examination in German, sport and educational science at LMU and TU Munich in 2018, he completed his doctorate in German Didactics in 2023. His dissertation "The use of commas in German" was recognized as one of the five best dissertations at LMU in 2023. Maurice Fürstenberg maintained close practical contact during his doctoral studies and, in addition to his project work at the university. He also worked for four years as a Sports and German teacher at Gisela-Gymnasium Munich. He has also been active in extracurricular teaching contexts, particularly in the field of political education, for example for various foundations. As an associated fellow of the postdoctoral research group TEIFUN, he will contribute his research and practical experience, as well as his previous academic work in the field of AI and German teaching, to the research network and deepen it in a broad-based practical study.

Project:
Children write - AI gives feedback

Contact:
LMU Munich
German Philology
Schellingstr. 3 RG
80799 Munich
@ fuerstenberg@germanistik.uni-muenchen.de

Project-related publications:

Publications
Müller, Hans-Georg & Fürstenberg, Maurice (2025):DeutschGPT. German Language Instruction in Dialogue with Artificial Intelligence. Berlin: Frank & Timme (=Literature – Media – Didactics: 16).https://doi.org/10.26530/20.500.12657/104475

Fürstenberg, Maurice & Müller, Hans-Georg (2024):AI in German Language Instruction.*Der Deutschunterricht*. Issue 5/2024.

Müller, Hans-Georg & Fürstenberg, Maurice ( 2023): Digital Disruptions: Language, Literature, and German Language Instruction in the Age of Big Data and AI.Bulletin of the German Association of Germanists. Issue 4/2023.https://doi.org/10.14220/mdge.2023.70.issue-4

Fürstenberg, Maurice; Müller, Hans-Georg & Wurst, Alexander (2023): Book of Abstracts. DeutschGPT – Conference on German Language Instruction in the Age of Chatbots and AI. Available online at:https://www.fachplusdidaktik.gwi.uni-muenchen.de/wp-content/uploads/2023/08/DeutschGPT_Book_of_Abstracts.pdfMüller, Hans-Georg & Fürstenberg, Maurice (2025):DeutschGPT. German Language Instruction in Dialogue with Artificial Intelligence. Berlin: Frank & Timme (=Literature – Media – Didactics: 16)https://doi.org/10.26530/20.500.12657/104475

Fürstenberg, Maurice & Müller, Hans-Georg (2024):AI in German Language Instruction.*Der Deutschunterricht*. Issue 5/2024.

Müller, Hans-Georg & Fürstenberg, Maurice (2023): Digital Disruptions: Language, Literature, and German Language Instruction in the Age of Big Data and AI.Bulletin of the German Association of Germanists. Issue 4/2023.https://doi.org/10.14220/mdge.2023.70.issue-4

Fürstenberg, Maurice; Müller, Hans-Georg & Wurst, Alexander (2023): Book of Abstracts. DeutschGPT – Conference on German Language Instruction in the Age of Chatbots and AI. Available online at:https://www.fachplusdidaktik.gwi.uni-muenchen.de/wp-content/uploads/2023/08/DeutschGPT_Book_of_Abstracts.pdf

Articles in Journals and Anthologies
Fürstenberg, M. ( 2025): On the Quality of AI-Generated Feedback: An Exploratory Comparison of Human and Artificial Intelligence. In: Hans-Georg Müller/Maurice Fürstenberg (eds.):DeutschGPT. German Language Instruction in Dialogue with Artificial Intelligence. Berlin: Frank & Timme (=Literature – Media – Didactics: 16), 162–190.https://doi.org/10.26530/20.500.12657/104475

Seßler,Kathrin/Fürstenberg, Maurice/Bühler, Babette/Kasneci, Enkelejda (2025): Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoring. In:Proceedings of the 15th International Learning Analytics and Knowledge Conference, 462–472.https://doi.org/10.1145/3706468.3706527

Fürstenberg, Maurice ( in press): Measuring the Quality of AI-Generated Feedback? From Theoretical Modeling to Empirical Evidence.Didaktik Deutsch – Special Issue: Writing With AI.

Fütterer, Tim/Pardi, Georg/Ziegs, Theresia/Flegr, Salome/Ring, Malte/Fabian, Armin/Pawlak, Felix/Steinmetz, Tilmann/Becker, Sara/Bertram, Christiane/Hellberg, Florian/Schreiber, Waltraud/Meurers, Detmar/Brahm, Taiga/Führer, Carolin/Kuhn, Jochen/Schwarzer, Stefan/Paravicini, Walther/Burde, Jan-Philipp/Nuxoll,Florian/Fürstenberg, Maurice/Matz, Daniela/Krey, Katja/Hochstetter, Gregor/Brucker, Birgit/Gerjets, Peter. (in press): Between practical relevance and technological dynamism: Methodological perspectives on genAI in teaching illustrated by level-differentiated learning tasks – On the way to adaptive teaching with AI-generated tasks? Exploratory comparison of subject-specific GPTs to support lesson planning.Zeitschrift für Erziehungswissenschaften.

Fürstenberg, Maurice ( 2025): AI Feedback Put to the Test—An Exploratory Study of Machine Feedback on Students’ Texts. In:Leseräume 11. Available online at:https://leseräume.de/wp-content/uploads/2025/06/Fuerstenberg-2025-LR-JG12-H11.pdf

Fürstenberg, Maurice/Matz, Daniela (2025): Artificial Intelligence as a Discussion Partner? Evidence-Based Argumentation with and Reflection on AI. In:Praxis Deutsch311, 23–30.

Fürstenberg, Maurice/Müller, Hans-Georg (2024):AI in German Language Instruction: Functional Principles and Competency-Based Models of Use. In:*Der Deutschunterricht* 5/2024. pp . 2–13.

Müller,Hans-Georg/Fürstenberg, Maurice (2023): The Language Use Automata. How GPT Works and Its Implications for German Studies and German Language Education.Bulletin of the German Association of Germanists. Issue 4/2023. 327–345.https://doi.org/10.14220/mdge.2023.70.4.327