#faculty

D. Moritz Marutschkeマルチュケ モリツ

Associate Professor

PhD from Kobe University
Email : moritz [at] fc.ritsumei.ac.jp(Replace "[at]" with "@")
Office Location : AC5407

Education History /
Work Experience

I studied Electrical Engineering as an undergraduate and have worked as an intern and volunteer in Germany at Sony Material Laboratories, HOESCH, and Hagen General Hospital and in Japan at Omron Keihanna Innovation Center. Graduating with a Master of Engineering from Ritsumeikan University in 2010, I was awarded a PhD at Kobe University in 2014.
Before my current position as an Associate Professor at Ritsumeikan University, College of Global Liberal Arts, I have worked at Ritsumeikan University, College of Information Science and Engineering (2014–2019, Lecturer), Kyoto University of Advanced Science, Faculty of Economics and Business Administration (2023–2025, Associate Professor), and at Xiamen University of Technology (2021–2022, Adjunct Professor).

Specialization /
Research Interests

Research keywords

Data Science, Artificial Intelligence, E-Learning, Educational Technology, Software Engineering Education

Specialization / Research Interests

My research interests are in E-Learning, Data Science education, and the use of Artificial Intelligence in multidisciplinary projects. I want to understand how AI can enhance known pedagogical phenomena and cutting edge technologycal tools can help learners develop their knowledge and improve motivation. Recent projects include the use of Large Language Models in understanding basic color terms in multiple languages, technology enhanced learning, and UML usage in distributed software engineering courses.

Message to Students

We live in times where we hear the words "Artificial Intelligence" or "Data Science" almost daily. These might evoke excitement, annoyance, or even dread. A deeper understanding of scientific concepts seems reserved for technical colleges.
At GLA, you will have the opportunity to experience, both practically and conceptually, to AI tools and data science practices. We will peek behind the curtain to appreciate both the technological advancements and shortcomings.
I am looking forward to welcoming you at GLA to exploring these cutting-edge technologies within liberal arts contexts!