- Quality Management
- Knowledge Management
- Foundational Academic Skills
Jin Mu
Dr. Jin Mu
Senior Academic Quality & Subject Coordinator
- Ph.D. in Technology-Enhanced Learning and Digital Pedagogy, Ludwig-Maximilians-Universität München
- Master of Arts Psycology of Excelence in Business and Education, Ludwig-Maximilians-Universität München
✉ j.mu@eumunich.com
LinkedIn | Munich Campus
Bio
With a Ph.D. in Technology-Enhanced Learning and Digital Pedagogy and more than 15 years of experience in education, academic coordination, and research management, I have developed a strong expertise at the intersection of teaching, research, and digital innovation.
I have taught and conducted research at several academic institutions, including the University of Munich, the University of Passau, the University of Hong Kong, and the University of Applied Management. Throughout these roles, I have remained actively engaged in academic research while also contributing to program development and international collaboration.
My research focuses on digital learning and education, with a particular interest in technology-supported teaching, collaborative learning, and digital transformation in higher education. I have led and contributed to a number of international research projects and have published in leading journals such as Frontiers in Education and the International Journal of Computer-Supported Collaborative Learning.
In addition, I regularly present at major national and international conferences in the field of Learning Sciences, where I share insights on digital pedagogy, innovative learning environments, and the role of technology in enhancing student engagement.
By bridging research and practice, I remain committed to advancing high-quality teaching and fostering digital transformation in education, while continuing to support international collaborations and impactful research.
Teaching Interests
Research Interests
- Technology-Mediated Learning
- Collaborative Learning
- Instructional Quality Assessment and Management
Publications
- Oshima, J., Mu, J., & van Aalst, J. (2023). Learning Sciences in the Asia-Pacific. In W. Lee, P. Brown, L. Goodwin, & A. Green (Ed.). International Handbook on Educational Development in Asia Pacific. Singapore: Springer.
- Mu, J., Bayrak, A., Ufer, S. (2022). Conceptualizing and Measuring Instructional Quality in Mathematics Education: A Systematic Literature Review Frontiers in Education.
- Van Aalst, J., Mu, J., Msonde, S., & Damșa C. (2022). Learning Sciences Research for Teaching. New York: Routledge.
- Wang, X. H. & Mu, J. (2017). Flexible scripting to facilitate knowledge construction in computer‐supported collaborative learning. Singapore: Springer.
- Van Aalst, J., Mu, J., & Yang, Y. Q. (2015). Formative assessment of computer- supported collaborative learning and knowledge building. In P. Reimann (Ed.). Measuring and Visualizing Learning in the Information Rich Classroom. New York: Routledge.
- Stegmann, K., Rosé, C. P., & Mu, J. (2015). A script theory of guidance perspective on learning analytics for CSCL. In A. Wise & R. Azevedo (Co- Chairs), CSCL and Learning Analytics: Opportunities to Support Social Interaction, Self‐Regulation and Socially Shared Regulation. Paper presented in a symposium at the the International Conference on Computer Supported Collaborative Learning (CSCL 2015). Gothenburg, Sweden, June 7 to 11, 2015
- Mu, J., van Aalst, J., Chan, C. K. K., & Fu, E. (2014). Automatic coding of questioning patterns in knowledge building discourse. In: Proceedings of the 11th International Conference of Learning Sciences, Boulder, Colorado, USA. June 23 to 27, 2014.
- Mu, J., Stegmann, K., & Fischer, F. (2013). How Collaboration Scripts are Internalized: A Script Theory of Guidance Perspective. In: Proceedings of the International Conference on Computer Supported Collaborative Learning (CSCL 2013). Madison, USA. June 15 to 19, 2013.
- Mu, J., Stegmann, K., & Fischer, F. (2012). The ACODEA framework: Developing segmentation and classification schemes for fully automatic analysis of online discussions. International Journal of Computer‐Supported Collaborative Learning, 7(2), 285-305.
- Mu, J., Stegmann, K., Mayfield, E., Rosé, C. P., & Fischer, F. (2011). OSCAL: A Framework for the Development of Classification Schemes for Automatic Classifications of Online Discussions. In: Proceedings of the International Conference on Computer Supported Collaborative Learning (CSCL 2011). Hong Kong, July 4 to 8, 2011.
- Stegmann, K.,Mu, J., Gehlen-Baum, V., & Fischer, F. (2011). The Myth of Over- scripting: Can Novices be Supported too much? In: Proceedings of the International Conference on Computer Supported Collaborative Learning (CSCL 2011). Hong Kong, July 4 to 8, 2011.
- Mu, J., Stegmann, K., & Fischer, F. (2010). Automation of Qualitative Content Analysis: Using Natural Language Processing for Automatic Segmentation and Coding of Online Discussions. Paper presented at the 74. Tagung der Arbeitsgruppe für Empirische Pädagogische Forschung (AEPF), September 13 to 15, 2010.