HighNyammer Social Scanner: Continuous Visual Feed-back of Collaborative Community to Improve Collective Cognitive Responsibilities

  • Hideki Kondo Kanda University of International Studies
  • Sayaka Tohyama Shizuoka University
  • Ayano Ohsaki Musashino University
  • Masayuki Yamada Kyushu Institute of Technology
Keywords: feedback, BBS, collective cognitive responsibility, social network analysis

Abstract

Collective Cognitive Responsibility (CCR) of individual members is important in knowledge-creation communities. There are some possibilities to improve CCR through feedback functions that implement learning-support systems; however, it is unclear whether such a function is effective in extracurricular activities. Our research target is “HighNyammer,” a bulletin board system (BBS) for student-staff members who are working in “Classroom-M” as extracurricular activities. We developed “HighNyammer Social Scanner,” a tool comprising three types of feedback functions based on social network analysis to improve community members’ CCR. To examine the functions’ effect, we conducted two types of analysis: trends analysis based on HighNyammer logs and a questionnaire survey with student-staff members. A comparison between nine-members in 2020 (with HighNyammer Social Scanner) and nine-members in 2019 (without it) showed that HighNyammer Social Scanner helped the student-staff members perform as the members with high-CCR, especially novice members. The results suggested that each member was helped to recognize their activities more concretely by comparing one’s activities with those of other members using HighNyammer Social Scanner. Furthermore, the comparison encouraged the student-staff members to improve their activities.

References

M. Scardamalia., “Collective cognitive responsibility for the advancement of knowledge,” in Liberal education in a knowledge society, B. Smith Ed. Chicago, IL: Open Court, 2002, pp. 67–98.

J. Zhang, M. Scardamalia, R. Reeve, and R. Messina. “Designs for Collective Cognitive Responsibility in Knowledge Building Communities,” Journal of the Learning Sciences, vol. 18, no. 1, pp. 7–44, April 2009.

H. Kondo, S. Tohyama, A. Ohsaki, & M. Yamada. “HighNyammer BBS Scaffolds the Development of Each Learner’s Collective Cognitive Responsibility,” Proceedings of 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 184–189, July 2019.

I. Roll. & P. H. Winne. “Understanding, evaluating, and supporting self-regulated learning using learning analytics,” Journal of Learning Analytics, vol. 2, no. 1, pp. 7–12, July 2015.

C. Dignath. & G. Buttner. “Components of fostering self-regulated learning among stu-dents. A meta-analysis on intervention studies at primary and secondary school level,” Metacognition and Learning, vol. 3, no. 3, pp. 231–264, December 2008.

L. Corrin. & P. Barba. “Exploring students’ interpretation of feedback delivered through learning analytics dashboards,” Proceedings of the ascilite 2014 conference, pp. 629–633, November 2014.

S. Konomi., F. Okubo. & Y. Taniguchi. “Learning Analytics: 2. A University-Scale Learn-ing Analytics Environment,” http://id.nii.ac.jp/1001/00190665/, September 2018. (in Jap-anese)

T. Mochizuki, H. Kato, S. Fujitani,, K. Yaegashi, S. Hisamatsu, T. Nagata, J. Nakahara, & T. Nishimori. “Promotion of Self-Assessment for Learners in Online Discussion Using the Visualization Software,” In N. Lambropoulos, & P. Zaphiris (Eds.), User-Centered Design of Online Learning Communities (pp. 365–386). Hershey, PA: IGI Global, 2007. doi:10.4018/978-1-59904-358-6.ch016.

J. Lin. & Y. Lai. “Online formative assessments with social network awareness,” Comput-ers & Education, vol. 66, pp. 40–53, ISSN 0360-1315, 2013.

M. Scardamalia. & C. Bereiter. “Knowledge Building and Knowledge Creation: Theory, Pedagogy and Technology,” In K. Sawyer (Ed.), Cambridge Handbook of the Learning Sciences (2nd Edition), pp. 397–417, Cambridge University Press, 2006.

H. Kondo, and H. Narahara. “Design and Implementation of a Dynamic Reconfigurable Classroom for Cooperative Learning,” In Conference Proceedings of the 3rd International Conference on Intelligent Networking and Collaborative Systems, pp. 328–329, December 2011.

M. Leanne, Y. Matsuzawa, and M. Scardamalia. “Rotating Leadership and Collective Re-sponsibility in a Grade 4 Knowledge Building Classroom,” International Journal of Or-ganisational Design and Engineering, vol. 4, pp. 54–84, November 2016.

H. Kondo, S. Tohyama, A. Ohsaki, and M. Yamada. “HighNyammer Social Scanner: col-lective cognitive responsibility visualization based on network analysis,” In Conference Proceedings of 2020 9th International Congress on Advanced Applied Informatics, pp. 149–154, September 2020.

Published
2023-04-13
Section
Technical Papers