i-Bee: the CSCL Assessment Tool for Making the Status of Discussion Visible PROCEEDINGS
Toshio Mochizuki, Department of Cyber Society and Culture, The Graduate University for Advanced Studies, Japan ; Satoru Fujitani, Faculty of Business Administration, Meijiro University, Japan ; Shin-ichi Hisamatsu, Graduate School of Media and Governance, Keio University, Japan ; Kazaru Yaegashi, Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Japan ; Tomoko Nagata, Hyogo University of Teacher Education, Japan ; Jun Nakahara, Toshihisa Nishimori, National Institute of Multimedia Education, Japan ; Mariko Suzuki, Faculty of Education, Shiga University, Japan ; Hiroshi Kato, National Institute of Multimedia Education, Japan
World Conference on Educational Multimedia, Hypermedia and Telecommunications, in Lugano, Switzerland Publisher: AACE, Chesapeake, VA
This paper describes a CSCL (Computer Supported Collaborative Learning) Assessment tool that aims at visualizing discussions among learners participating on electronic forums using a text-mining technique. The software, named "i-Bee" (Bulletin board EnvisionEr), is able to visually show the co-occurrence relations of topic keywords of each learner using correspondence Analysis. Furthermore, i-Bee can show how actively each learner discusses; how each learner contributes to online discussions; and the frequency the learners use each keyword. In this paper, the authors report the rationale, the basic algorithm, and the implementation of i-Bee.
Mochizuki, T., Fujitani, S., Hisamatsu, S.i., Yaegashi, K., Nagata, T., Nakahara, J., Nishimori, T., Suzuki, M. & Kato, H. (2004). i-Bee: the CSCL Assessment Tool for Making the Status of Discussion Visible. In L. Cantoni & C. McLoughlin (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2004 (pp. 1200-1205). Chesapeake, VA: AACE. Retrieved March 7, 2014 from http://www.editlib.org/p/12626.
© 2004 AACE