Synergizing Online Group Knowledge

Authors

  • Yen-An SHIH Graduate Institute of Learning and Instruction, National Central University, Taiwan Author
  • Ben CHANG Graduate Institute of Learning and Instruction, National Central University, Taiwan Author

Abstract

A huge amount of users’ data are created on the Internet day by day. How to synergize those users’ data to provide useful information will be an important issue. Based on the phenomenon mentioned above, this study aims to refine the users’ data on an experimental social network platform named CoCoing.info to a reintegrated concept map. The CoCoing.info platform has been online for a half year. During the period, 646 users enrolled, and 2,096 concept maps and 4,569 users’ responses were created. To synergize those users’ data into a connected concept map for further value-added applications, two computer algorithms, term-generation and term-association programs, were designed to filter the users’ data and to reintegrate the filtered data. By the term-generation algorithm, 46,490 terms were filtered. Moreover, the term-association algorithm synergized as an 18,011-node concept map based on the filtered terms. The synergized concept map can potentially provide users to implement adaptive value-added applications on it.

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Published

2017-12-04

How to Cite

Synergizing Online Group Knowledge. (2017). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/2266