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Factors for Successful Collaborative Creation, Adaptation and Maintenance of Virtual Patients for Undergraduate Medical Education., , , и . Bio-Algorithms and Med-Systems, 6 (11): 70 (2010)Combining Scripts, Group Awareness Tools and Self-Regulated Learning - Theoretical Implications and Practical Implementations., , , , , , , , , и . ICLS, International Society of the Learning Sciences, (2020)Ghost in the Machine: A Symposium on Collaboration Between Human and Computerized Agents in Educational Contexts., , , , , , , , , и . CSCL, International Society of the Learning Sciences, (2019)FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning., , , , , , , , , и . EMNLP/IJCNLP (3), стр. 73-78. Association for Computational Linguistics, (2019)Mapping a medical curriculum using a learning objectives database - Lessons learned at the University of Munich., и . Bio-Algorithms and Med-Systems, 8 (3): 307-314 (2012)Implementation and Empirical Evaluation of a Case-based, Interactive e-Learning Module with X-ray Tooth Prognosis., , , , и . DATA, стр. 277-281. SciTePress, (2017)Automatic Recommendations for Data Coding: A Use Case from Medical and Teacher Education., , , , , , и . eScience, стр. 364-365. IEEE Computer Society, (2018)Interoperability of Case-Based Training Systems in Medicine: The CASEPORT Approach, , , , , , , и . Proc. 9th Workshop of the GMDS AG, Berlin, Germany, Quintessenz Verlags-GmbH, (2005)Challenges in the Automatic Analysis of Students' Diagnostic Reasoning., , , , , , , и . CoRR, (2018)Teaching Optical Principles in XR., , , , и . GI-Jahrestagung, том P-337 из LNI, стр. 313-323. Gesellschaft für Informatik, Bonn, (2023)