Online team-based game development discussions patterns summarised using probabilistic models

Akiko Teranishi, Minoru Nakayama, Theodor Wyeld, Mohamad Eid

Research output: Contribution to conferencePaper

Abstract

Communications between team members sent as messages about collaboration strategies during online game development were analysed to extract contributions to the discussion of their online activity and their reflections. The task was the collaborative development of online games by a team of university students. Their social media communications were classified into four functions: Proposal, Permission, Encouragement, and Acknowledgement based on the participant's frequency of contribution of reflections and the frequency of their communication activity. In the results, some significant relationships between participant's reflections and communication frequencies of the four categories were extracted in the later discussion cycles. Also, the appearance probabilities of communication activity in each of the four categories were calculated using Bayesian networks and the scores of participant's characteristics, such as personality and information literacy.

Original languageEnglish
Pages234-239
Number of pages6
DOIs
Publication statusPublished - 9 Apr 2018
EventThe 33rd ACM/SIGAPP Symposium On Applied Computing -
Duration: 9 Apr 2018 → …

Conference

ConferenceThe 33rd ACM/SIGAPP Symposium On Applied Computing
Period9/04/18 → …

Keywords

  • Computer based learning
  • Discourse analysis
  • Self assessment
  • Transitional analysis

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    Teranishi, A., Nakayama, M., Wyeld, T., & Eid, M. (2018). Online team-based game development discussions patterns summarised using probabilistic models. 234-239. Paper presented at The 33rd ACM/SIGAPP Symposium On Applied Computing, . https://doi.org/10.1145/3167132.3167169