HighNyammer: Metrics Feedback on BBS for Collaborative Improvement of Collective Cognitive Responsibilities

  • Hideki Kondo Kyushu Institute of Technology
  • Sayaka Tohyama Shizuoka University
  • Ayano Ohsaki Advanced Institute of Industrial Technology
  • Masayuki Yamada Kyushu Institute of Technology
Keywords: BBS, collective cognitive responsibility, real-time feedback, social network analysis (SNA)

Abstract

This study aimed to examine whether real-time feedback can enhance “collective cognitive responsibility” as contribution from each learner’s collective cognitive responsibility is essential in collaborative knowledge creation. To this end, we hypothesized that higher values of betweenness centrality in subjects’ relationships reflect an improvement in collective cognitive responsibility, and developed a bulletin board system (BBS) for feeding back values of betweenness centrality in real time to know one’s position within the community using network-analysis methodology. The research target was a student-staff community working for “Classroom-M” that used the BBS developed by us, called “HighNyammer,” for information-sharing among students and staff members. HighNyammer revealed the real-time value of betweenness centrality for each participant based on the relationships between the authors of posted articles. We conducted questionnaire surveys and retrospective interviews with fourstudent-staff members to evaluate the function of HighNyammer. The subjects demonstrated the potential effectiveness of this function, especially for novice workers. Furthermore, they recognized the meaning of betweenness centrality value in relation to their own work as student-staff members. They also recognized that the meaning of betweenness centrality value depended on each student-staff member’s degree of expertise in Classroom-M.

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H. Kondo, S. Tohyama, A. Ohsaki, and M. Yamada, “HighNyammer BBS Scaffolds the Development of Each Learner’s Collective Cognitive Responsibility,” Proceedings of 2019 9th International Congress on Advanced Applied Informatics (IIAI-AAI), pp.184-189, July 2019.

Published
2020-06-29
Section
Technical Papers