Kyushu University Academic Staff Educational and Research Activities Database
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Masanori Yamada Last modified date:2023.11.28



Graduate School
Other Organization


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Homepage
https://kyushu-u.elsevierpure.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.
Research
Research Interests
  • 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.
Academic Activities
Papers
1. Geng,X., and Yamada, M., Using learning analytics to investigate learning processes and behavioural patterns in an augmented reality language learning environment, Journal of Computer Assisted Learning, Journal of Computer Assisted Learning, 10.1111/jcal.12760, 39, 2, 532-546, 2023.04.
2. Yamada, M., Goda, Y., Imamura, R., and Egi, H., The Effects of Seat Location-based Teaching Assistant Support System on the Awareness of Self- Regulated Learning and Learning Performance, IEEE TALE 2019, 625-631, 2019.12.
3. Yamada, M.,& Goda, Y. , The Effects of Social Presence Visualization based on Community of Inquiry Framework, SITE 2018, 1014-1019, 2018.03.
4. Yamada, M., Oi, M., & Konomi, S., Are learning logs related to procrastination? From the viewpoint of self-regulated learning, CELDA 2017, 3-10, 2017.10.
5. Yamada, M., Goda, Y., Matsuda, T., Saito, Y., Kato, H., & Miyagawa, H., Self-Regulator: Preliminary research of the effects of supporting time management on learning behaviors, The 17th IEEE International Conference on Advanced Learning Technologies (ICALT 2017), 370-372, 2017.07.
6. Yamada, M., Shimada, A., Okubo, F., Oi, M., Kojima, K. & Ogata, H._, Learning analytics of the relationships among self-regulated learning, learning behaviors, and learning performance, Research and Practice in Technology Enhanced Learning, 10.1186/s41039-017-0053-9, 12, 13, 13, 2017.06.
7. Yamada, M., Okubo, F., Oi, M., Shimada, A., Kojima, K. and Ogata, H. , Learning Analytics in Ubiquitous Learning Environments: Self-Regulated Learning Perspective, the 24th International Conference on Computers in Education (ICCE2016), 306-314, 2016.12.
8. Yamada,M., Kaneko, K. and Goda, Y., Social Presence Visualizer: Development of the Collaboration Facilitation Module on CSCL, CollaboTech, 647, 174-189, 2016.09.
9. Yamada,M., Goda, Y., Matsukawa, H., Hata, K. and Yasunami, S. , Flip-J: Development of the system for flipped jigsaw supported language learning, EUROCALL 2016, 10.14705/rpnet.2016.eurocall2016.612, 490-495, 2016.08.
10. Yamada,M., Goda, Y., Matsuda, T., Saito, Y., Kato, H. and Miyagawa, H. , How does self-regulated learning relate to active procrastination and other learning behaviors?, Journal of Computing in Higher Education, 10.1007/s12528-016-9118-9, 28, 3, 326-343, 2016.07.
11. Yamada, M., Goda, Y., Matsukawa, H., Hata,K. and Yasunami, S. , A Computer-Supported Collaborative Learning Design for Quality Interaction, IEEE Multimedia, 10.1109/MMUL.2015.95, 23, 48-59, 2016.01.
12. Yamada, M., Goda, Y., Matsuda, T., Kato, H. and Miyagawa, H., The Relationship among Self-regulated Learning, Procrastination, and Learning Behaviors in Blended Learning Environments., the 12th Cognition and Exploratory Learning in Digital Age 2015(CELDA 2015), 67-74, 2015.09, 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..
13. Yamada, M., Yin, C., Shimada, A., Kojima, K., Okubo, F., and Ogata, H., Preliminary Research on Self-regulated Learning and Learning Logs in a Ubiquitous Learning Environment, The 15th IEEE International Conference on Advanced Learning Technologies(ICALT 2015), 93-95, 2015.07, This preliminary research investigates the relationship between psychometric data and learning behaviors in the learning analytics research field, specifically, the relationship between self-regulated learning and learning behavior. The results of this limited research show that marker and annotation use have a weak significant relationship with self-efficacy and the intrinsic value of learning materials..
14. Yamada, M., Kitamura, S., Matsukawa, H., Misono, T., Kitani. N., Yamauchi, Y., Collaborative filtering for expansion of learner’s background knowledge in online language learning: does “top-down” processing improve vocabulary proficiency?, Educational Technology Research & Development, 10.1007/s11423-014-9344-7, 62, 5, 529-553, 2014.09.
15. Yamada, M., Goda, Y., Matsukawa, H., Hata, K., Yasunami, S., What Psychological Factors Enhance a Language Learning Community? Toward Effective CSCL Design for Language Learning Based on a CoI Framework, ICWL 2014, Lecture Notes in Computer Science 8613, 10.1007/978-3-319-09635-3_5, 43-55, 2014.08.
16. Yamada, M., Goda, Y., Matsukawa, H., Hata, K., Yasunami, S., C4 (C quad): Development of the Application for Language Learning Based on Social and Cognitive Presences, EuroCALL 2013, 258-264, 2013.12.
17. Yamada, M., Kitamura, S., Shimada, N., Utashiro, T., Shigeta, K., Yamaguchi, E., Harrison, R., Yamauchi, Y., Nakahara, J., Development and evaluation of English listening study materials for business people that use mobile devices: A case study, CALICO Journal, 29, 1, 44-66, 2011.09.
18. Yamada,M., Akahori,K. , Awareness and performance through self-and partner’s image in videoconferencing, CALICO Journal, 27, 1-25, 2009.01.
19. Yamada,M., Akahori, K. , Presenting Information to Assist Learners in Learner-centered Communicative Language Learning Using Videoconferencing, The Journal of Information and Systems in Education, 5, 1, 5-16, 2007.01.
20. Yamada,M., Akahori,K., Social Presence in Synchronous CMC-based Language Learning -How Does It Affect the Productive Performance and Consciousness of Learning Objectives?, Computer-Assisted Language Learning, 20, 1, 37-65, 2007.01.
21. Yamada,M., Akahori, K. , Using Videoconferencing Software in Learner-centered Communication Instruction: Does Raising Consciousness Promote Learning?, Educational Technology Research, 29, 43101.0, 1-11, 2006.09.
Membership in Academic Society
  • 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
Awards
  • 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