Alumni and ex-Members of Yamada Laboratory

Hiroyuki Watanabe (Technical Staff: Oct 2019 - Mar 2022)　

Currently, Visiting Researcher at the Center for Higher Education, Kumamoto University.
During his time in this laboratory, he was engaged in research on identifying learning skills and learning support skills based on Learning Analytics.

Li Chen (Completed Dec 2021: Oct 2021 - Mar 2022: Academic Researcher) Ph.D. (Education)　

After serving as an Assistant Professor at the Faculty of Arts and Science and the Faculty of Information Science and Electrical Engineering at Kyushu University, she became a Lecturer at Osaka Kyoiku University in April 2025.
Throughout her master's and doctoral programs, she conducted research on Collaborative Problem Solving-based STEM Instructional Design based on Learning Analytics. Received the Best Paper Award at CELDA 2020.

Xuewang Geng (Completed Feb 2024) Ph.D. (Education)

After serving as a Specially Appointed Assistant Professor and Specially Appointed Associate Professor at the Data-Driven Innovation Initiative, Kyushu University, he became an Associate Professor at the Faculty of Information, Sojo University.
Throughout his master's and doctoral programs, he conducted research on learning support systems for Japanese compound verbs using AR.
Received the CELDA 2025 Best Paper Award.

Hao Hao (Completed Dec 2024) Ph.D. (Education)

Currently working at Xinhua News Agency (China).
During his doctoral program, he conducted research on the Instructional Design of Japanese CLIL classes utilizing ICT.

Mamiko Eto (Completed Mar 2017 (Master's))

After working as a school nurse in Fukuoka City, she became a Lecturer at Seinan Jo Gakuin University in April 2025. Ph.D. (Medicine) (Saga University).
As part of her master's research, she engaged in research on fostering health literacy in elementary and secondary education using the Knowledge-Constructive Jigsaw method.
Received the Grand Prize of the Graduate School of Human-Environment Studies Award.

Feier Tang (Completed Mar 2017 (Master's))

Research on the design and evaluation of English vocabulary learning games using GPS.

Satomi Hamada (Completed Mar 2020 (Master's))

After working at Benesse Corporation (Classi Corp.), she is currently a doctoral student at the Ogata Laboratory, Department of Social Informatics, Graduate School of Informatics, Kyoto University.
During her master's program, she was engaged in the development of a learning support system for mathematical proof problems in junior high schools.

Xuanqi Feng (Completed Mar 2021 (Master's))

After graduation, worked at Appirits Inc. before becoming independent and launching a system development company.
During his master's program, he conducted research on the development of a Learning Analytics infrastructure for game-based learning environments in informal learning (Accepted by the SSCI Journal “Journal of Educational Technology & Society” (Impact factor: 2.086)).

Yufan Xu (Completed Sep 2021 (Master's))

Currently working at Zhejiang Jiaxing Digital City Laboratory Company Limited (China).
During his master's program, he conducted research on the development and evaluation of a visualization system for learning activities associated with group discussions.

Saki Hirata (Completed Mar 2024 (Master's))

Currently working at ALL DIFFERENT, Inc. (formerly Learning Agency, Inc.).
During her master's program, she conducted research on the development and evaluation of an English vocabulary learning support system based on speech recognition technology and Self-Regulated Learning support for speech memory strategies.
(Received the Honorable Mention Poster Award at Learning Analytics and Knowledge 2024 (CORE Ranking A and Google Scholar Matrix in Educational Technology #20 (as of 2024))).

Tang Li (Completed Sep 2024 (Master's))

Currently working at NTT DATA Information Technology Co., Ltd.
During her master's program, she conducted research on the development and evaluation of a VR-based Japanese onomatopoeia learning support system (Paper accepted by IEEE Access (Google Scholar Matrix #1 in Engineering and Computer Science (general)) (as of 2025)).

Research Seminar

The research seminar consists of two parts. The first part is a seminar where students and participants present their ongoing research and practices, followed by discussions to further develop them. We discuss how to improve the presented research or practice, what data should be collected, where potential practical settings might be, and what evaluation methods should be used. The second part is an English seminar. The goal is to learn the fundamental theories necessary for research in Educational Technology. We are currently reading the Cambridge Handbook of Cognition and Education.
Frequency/Time: Approximately twice a month (bi-weekly), Tuesday 18:45 - 20:15 (Online)

English seminar

The English seminar is a session where we read and discuss English research papers related to the participants' research and practices. Research in Educational Technology is conducted not only domestically but also internationally, and as research, high originality is required. To conduct highly original research and practice, it is necessary to examine domestic and international research and practice papers, and to consider their strengths, areas for improvement, and limitations. In this seminar, participants choose a paper they want to read from international journals, read it, summarize it in a 3 to 5-page handout, and present it. Afterward, we discuss the positioning of the paper within the presenter's research and future research developments, with the aim of learning research methods while advancing the research.
Frequency/Time: Every Monday 17:00 - 18:00 (Online)

Statistics Seminar

The Statistics Seminar is a session to learn about statistics, which is fundamental knowledge for advancing research in Educational Technology. This is conducted as a student-led seminar. Since we are not researchers in statistics, our goal is not to pursue statistics itself. We use statistics as a tool. However, even when using it as a tool, we must understand the minimum necessary knowledge and rules. The goal of this seminar is to learn statistics as a tool by reading fundamental literature on statistics and by actually performing data analysis.
Frequency/Time: Once a month, please inquire

Cognitive Psychology Seminar

The Cognitive Psychology Seminar is for understanding fundamental theories necessary for advancing research in Educational Technology. This is conducted as a student-led seminar. When people learn, they perceive various information, process it, interpret it in their own way, and give it meaning. In the learning process, learning occurs in various situations, such as learning from various information media or learning through apprenticeship within human relationships. However, in that process, what kind of cognitive processing do humans perform? There are many theories related to this, and they serve as fundamental theories for advancing research in Educational Technology.
Frequency/Time: Once a month, please inquire