Member

Takashi Mitsuishi

• Center for Data-driven Science and Artificial Intelligence, Associate Professor

• Keyword:  Learning Analytics, Behavior Analysis

• Research: Learning analytics in IT education and e-learning
  To practice effective education with IT or e-learning, it is necessary to improve instruction and educational contents based on evidence. So, we investigate every different learning activities and model them through developing applications and tools for actual educational fields. We also study on methodology of analytics for these learning activities. 

Satoru Matsumoto

• Center for Data-driven Science and Artificial Intelligence, Assistant Professor

• Keyword: SRL Learning Analytics, SSI Data Analytics, Distributed Confidential Analytics

• Research: Construction of a visualization and behavioral analysis framework for supporting self-regulated learning (SRL)
  This study aims to promote learners’ autonomous learning by supporting Self-Regulated Learning (SRL) through the visualization of learning histories and the development of tools tailored to actual educational settings. It further analyzes and models behavioral data derived from classroom practice to construct a data-driven framework for understanding and enhancing SRL.

Mineaki Ohishi

• Center for Data-driven Science and Artificial Intelligence, Assistant Professor

• Keyword: Statistical Science, Sparse Estimation, Model Selection, Real Estate Data Analysis

• Research: Development of a data analysis method and its application
  With sparse estimation, nonparametric regression, varying coefficient model, etc., we try to develop a new data analysis method and its estimation algorithm. For example, prediction for the prices of real estate and ecology investigation of marine lives are our targets, and real data analyses for them are conducted.

Akihito Takeuchi

• Graduate School of Information Sciences, D2

• Research: Classification of performer expertise based on acoustic features in Manzai Comedy
  This research analyzes acoustic features such as speech timing and prosody in manzai comedy to classify the expertise of performers. By comparing highly trained professionals and amateurs, it aims to reveal structural differences in conversational rhythm ("ma") and contribute to applications in dialogue robots and improved human-to-human communication.

Tomofumi Koizumi

• Graduate School of Information Sciences, M1

Taihei Nishino

• Graduate School of Information Sciences, M1

Yuichi Ohkawa

• Center for Innovation in Education Research and Practice, Graduate School of Education, Assistant Professor

• Concurrent position at the Center for Data-driven Science and Artificial Intelligence

• Keyword: Educational Technology, Learning Support Systems, Speech Recognition

• Research: Development of smartphone-based learning materials for introductory foreign language education
  Learning a second foreign language for the first time at university requires continuous and repeated study. We are developing educational applications for smartphones—devices that most university students carry—to facilitate easy and accessible language learning.

Xiumin Zhao

• Center for Culture and Language Education , Institute for Excellence in Higher Education, Director, Professor

• Keyword: Blended Learning, Instructional Design

• Research: Chinese language teaching, e-Learning
  We are engaged in the research, development, and practice of blended learning, which combines e-learning and face-to-face classes, aiming for educational digital transformation (DX) and quality assurance in university Chinese language education.

Akiko Takahashi

• Department of General Engineering, Sendai National College of Technology, Professor

• Keyword: Agent, Educational Analysis, XR

• Research: Focusing on information sharing through distributed machine learning based on multi-agent systems and automated negotiation among agents. Also developing learning analytics platforms and various services in XR (Extended Reality) environments.