Creating Student Interaction Profiles for Adaptive Collaboration Gamification Design
Antti Knutas,
Jouni Ikonen,
Dario Maggiorini,
Laura Ripamonti and
Jari Porras
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Antti Knutas: Lappeenranta University of Technology, Lappeenranta, Finland
Jouni Ikonen: Lappeenranta University of Technology, Lappeenranta, Finland
Dario Maggiorini: Università di Milano, Milan, Italy
Laura Ripamonti: Università di Milano, Milan, Italy
Jari Porras: Lappeenranta University of Technology, Lappeenranta, Finland
International Journal of Human Capital and Information Technology Professionals (IJHCITP), 2016, vol. 7, issue 3, 47-62
Abstract:
Benefits of collaborative learning are established and gamification methods have been used to motivate students towards achieving course goals in educational settings. However, different users prefer different game elements and rewarding approaches and static gamification approaches can be inefficient. The authors present an evidence-based method and a case study where interaction analysis and k-means clustering are used to create gamification preference profiles. These profiles can be used to create adaptive gamification approaches for online learning or collaborative learning environments, improving on static gamification designs. Furthermore, the authors discuss possibilities for using our approach in collaborative online learning environments.
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jhcitp:v:7:y:2016:i:3:p:47-62
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