Researcher Database

（Last updated : 2022-06-06 13:51:47）

Marutschke D. Moritz

Department / Course College of Global Liberal Arts Department of Global Liberal Arts

Title / Position Associate Professor

Other Affiliations
1.	College of Information Science and Engineering Department of Information Science and Engineering

Academic background
1.	～2014/03	Doctorial Course │ Global Studies – Information and Communication │ Intercultural Studies │ Kobe University │ Completed
2.	～2010/09	Master Course │ Human Information Science │ Information Science and Engineering │ Ritsumeikan University │ Completed

Business career
1.	2019/04/01 ～	Associate Professor │ │ Ritsumeikan University College of Global Liberal Arts
2.	2014/04/01 ～ 2019/03/31	Lecturer │ Information Science and Engineering │ Ritsumeikan University

Subject of research
1.	Local and distributed software engineering education.
2.	E-Learning and online course analysis using Kano matrix for classifying customer satisfaction dimensions.
3.	Color keyword analysis Japanese, German, and English social media entries.
4.	Tracking knowledge propagation in scientific publications by using epidemiological models.

Research summary
1. Software Engineering Education in local and distributed teams. 2. Customer satisfaction analysis of e-learning and online course systems. 3. Tracking knowledge propagation in scientific publications by using epidemiological models 1. Challenges in distributed, international teams for software engineering education are investigated. Students from undergraduate and graduate programs in Japan and Germany are surveyed on cultural dimensions and their responses are analyzed before and after the course, as well as compared over several years. 2. Using Kano matrix from customer satisfaction analysis to investigate e-learning and online course systems. Features of online educational systems are categorized and their ex-ante and ex-post change is examined. 3. Finding research trends in scientific publications as well as cultural characteristics in research communities by use of epidemiological models. Using the same tools to analyze color trends in photo social networks.

Present specialized field
Theory of informatics, Intelligent informatics, Web informatics, Service informatics, Learning support system, Science education, Educational technology, Sociology (Keyword：Software engineering education, Data mining and machine learning, Educational technologies, Social dynamics, epidemiological modeling, knowledge propagation, statistical analysis)

Papers
1.	2022	Balanced, Unbalances, and One-Sided Distributed Teams - An Empirical View on Global Software Engineering Education │ IEICE, Special Section: Empirical Software Engineering │ E105-D (1) (Co-authored)
2.	2021	AI-Supported Evaluation of Kano Model Features for Online Courses │ (Co-authored)
3.	2021	Ex-Ante and Ex-Post Feature Evaluation of Online Courses Using the Kano Model │ Lecture Notes in Computer Science │ 12677 (Co-authored)
4.	2021	Student Perception of Software Engineering Factors Supported by Machine Learning │ ICECCME’21 │ (Co-authored)
5.	2021	WordPress and Kanban Use in Software Engineering Education Evaluated by Natural Language Processing and Neural Network │ 12th International Workshop on Computational Intelligence & Applications 2021 (IEEE IWCIA2021) │ (Co-authored)
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Academic conference presentation
1.	2022/06/20	Case Study on Smart Education During a Global Pandemic: A Hybrid, International Course on Global Software Engineering (Smart Education and e-Learning - Smart Pedagogy. SEEL-22 2022, Smart Innovation, Systems and Technologies, vol 305. Springer)
2.	2021/11/02	Color Key-Phrases Data-Mined from Twitter Analyzed Using Word-Embedding in Language Models (IICST TUSUR)
3.	2021/09/16	AI-Supported Evaluation of Kano Model Features for Online Courses (ICICIC2021)
4.	2021/08/06	Ex-Ante and Ex-Post Feature Evaluation of Online Courses Using the Kano Model (17th International Conference on Intelligent Tutoring Systems (ITS2021))
5.	2020/01/11	Distributed Virtual Courses to Teach Global Software Engineering: Lessons Learned and Best Practices (IC4E 2020)
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Winning science prize
1.	2019/06	The 6th KES International Conference on Smart Education (SEEL 2019) Best Paper Award