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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 19 Similar Profiles
Students Engineering & Materials Science
learning behavior Social Sciences
student Social Sciences
learning Social Sciences
Genes Engineering & Materials Science
performance behavior Social Sciences
learning performance Social Sciences
Bayerischer Rundfunk Social Sciences

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Research Output 2011 2019

  • 13 Citations
  • 2 h-Index
  • 13 Conference contribution
  • 3 Article
  • 1 Conference article

Relationships between Collaborative Problem Solving, Learning Performance and Learning Behavior in Science Education

Chen, L., Uemura, H., Hao, H., Goda, Y., Okubo, F., Taniguchi, Y., Terai, M., Konomi, S., Ogata, H. & Yamada, M., Jan 16 2019, Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. Lee, M. J. W., Nikolic, S., Wong, G. K. W., Shen, J., Ros, M., Lei, L. C. U. & Venkatarayalu, N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 17-24 8 p. 8615254. (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

performance behavior
learning behavior
learning performance
Education
science

Br-MAP: Concept map system using e-book logs

Yamada, M., Shimada, A., Terai, M., Taniguchi, Y. & Konomi, S., Jan 1 2018, Proceedings of the 15th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2018. Sampson, D. G., Sampson, D. G., Isaias, P., Ifenthaler, D., Ifenthaler, D. & Rodrigues, L. (eds.). IADIS Press, p. 248-254 7 p. (Proceedings of the 15th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bayerischer Rundfunk
cognitive learning
learning behavior
learning strategy
learning
3 Citations (Scopus)

Evaluating learning style-based grouping strategies in real-world collaborative learning environment

Taniguchi, Y., Gao, Y., Kentaro, K. & Konomi, S., Jan 1 2018, Distributed, Ambient and Pervasive Interactions: Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings. Konomi, S. & Streitz, N. (eds.). Springer Verlag, p. 227-239 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10922 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning Styles
Collaborative Learning
Collaborative Environments
Learning Environment
Grouping
1 Citation (Scopus)

Online change detection for monitoring individual student behavior via clickstream data on E-book system

Shimada, A., Taniguchi, Y., Okubo, F., Konomi, S. & Ogata, H., Mar 7 2018, Proceedings of the 8th International Conference on Learning Analytics and Knowledge: Towards User-Centred Learning Analytics, LAK 2018. Association for Computing Machinery, p. 446-450 5 p. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Students
Monitoring
Processing
Experiments

On the prediction of students’ quiz score by recurrent neural network

Okubo, F., Yamashita, T., Shimada, A., Taniguchi, Y. & Konomi, S., Jan 1 2018, In : CEUR Workshop Proceedings. 2163

Research output: Contribution to journalConference article

Recurrent neural networks
Students