


Masanori Yamada | Last modified date:2023.06.27 |

Professor /
Data-Driven Innovation Initiative
Graduate School
Other Organization
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Homepage
https://kyushu-u.pure.elsevier.com/en/persons/masanori-yamada
Reseacher Profiling Tool Kyushu University Pure
https://mark-lab.net/en
Academic Degree
Ph.D
Country of degree conferring institution (Overseas)
No
Field of Specialization
Educational Technology, Learning Science
Total Priod of education and research career in the foreign country
01years00months
Outline Activities
(1) Learning Analytics Research
We are analyzing the relationship between the learning activity logs of M2B systems (Moodle, Metaboard, B-QUBE) and the affective aspects of learning. In particular, we are analyzing the relationship between psychological indicators related to self-regulated learning and learning behavior. We are also analyzing learning behavior in an online game learning environment and conducting research on class improvement based on learning analytics for use in elementary and secondary education.
(2) Research and practice on the design and evaluation of cooperative learning
The concept of cooperative active learning is central to the core education promoted by the University. In order to promote cooperative active learning in the classroom, a learning support environment outside the classroom is important. To this end, we are using social software to design communities in which relationships, cognitive learning, and learning guidelines are presented, and classes are evaluated. We are also working on the construction of a CSCL environment that supports the return of individual and cooperative learning, and on research to improve the environment through learning analytics.
(3) Development and evaluation of language learning support systems using learning analytics
We are developing and evaluating a language learning support system that utilizes VR/AR/speech recognition systems. We are also evaluating the effectiveness of the system by analyzing learning logs as well as changes in ability.
(4) Behavioral level analysis of self-regulated learning
We are conducting research to construct a model of self-regulation learning at the behavioral level by analyzing the relationship between the self-regulation learning theory and learning behavior data as well as mental data, which has been studied in educational psychology.
As for educational activities, he is in charge of specialized courses in the Graduate School of Human Environment Studies, where he is in charge of education, as well as core education.
In addition, the Research and Development Office of the University Library conducts practical studies and research on how to support core education in the library.
We are analyzing the relationship between the learning activity logs of M2B systems (Moodle, Metaboard, B-QUBE) and the affective aspects of learning. In particular, we are analyzing the relationship between psychological indicators related to self-regulated learning and learning behavior. We are also analyzing learning behavior in an online game learning environment and conducting research on class improvement based on learning analytics for use in elementary and secondary education.
(2) Research and practice on the design and evaluation of cooperative learning
The concept of cooperative active learning is central to the core education promoted by the University. In order to promote cooperative active learning in the classroom, a learning support environment outside the classroom is important. To this end, we are using social software to design communities in which relationships, cognitive learning, and learning guidelines are presented, and classes are evaluated. We are also working on the construction of a CSCL environment that supports the return of individual and cooperative learning, and on research to improve the environment through learning analytics.
(3) Development and evaluation of language learning support systems using learning analytics
We are developing and evaluating a language learning support system that utilizes VR/AR/speech recognition systems. We are also evaluating the effectiveness of the system by analyzing learning logs as well as changes in ability.
(4) Behavioral level analysis of self-regulated learning
We are conducting research to construct a model of self-regulation learning at the behavioral level by analyzing the relationship between the self-regulation learning theory and learning behavior data as well as mental data, which has been studied in educational psychology.
As for educational activities, he is in charge of specialized courses in the Graduate School of Human Environment Studies, where he is in charge of education, as well as core education.
In addition, the Research and Development Office of the University Library conducts practical studies and research on how to support core education in the library.
Research
Research Interests
Membership in Academic Society
- CSCL design, development, and evaluation based on Community of Inquiry
Design, development, and evaluation of active learning environment out of class
The relationship among self-regulated learning, academic procrastination and learning performance
Redesign and evaluation of learning commons
Game-based Learning
Learning Analytics
keyword : CSCL(Computer Supported Collaborative Learning), Learning environment design, Self-regulated learning, Academic procrastination, Social media, ICT use in education and learning, Learning Analytics
2003.05.
Papers
- SoLAR
- Japan Society of Educational Technology
- Japanese Society for Information and Systems in Education
- IEEE(Institute of Electrical and Electronics Engineers)
- Information Processing Society of Japan
- Japanese Cognitive Science Society
- This research aims to investigate the relationship among the awareness of self-regulated learning (SRL), procrastination, and learning behaviors in blended learning environment. One hundred seventy nine freshmen participated in this research, conducted in the blended learning style class using learning management system. Data collection was conducted in two ways; questionnaires for SRL scale “Motivated Strategies for Learning Questionnaire” (Pintrich and DeGroot, 1990), and procrastination, and data log for learning behavior (report submission time). Students were asked to take the questionnaires in both pre and post class. As for learning behaviors, report submission time and one-minute paper submission time were collected using learning management system. The results revealed that internal value, self-regulation, and procrastination were fundamental elements that enhance the awareness of time management for learning plan, and positive time management awareness promoted to submit one-minute paper report within deadline, and regular report early.
- The relationship between learning logs and self-regulated learning theory


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