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Could Gamification Designs Enhance Online Learning Through Personalization? Lessons from a Field Experiment

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  • Alvin Chung Man Leung

    (Department of Information Systems, College of Business, City University of Hong Kong, Hong Kong)

  • Radhika Santhanam

    (Division of MIS, Price College of Business, University of Oklahoma, Norman, Oklahoma 73019)

  • Ron Chi-Wai Kwok

    (Department of Information Systems, College of Business, City University of Hong Kong, Hong Kong)

  • Wei Thoo Yue

    (Department of Information Systems, College of Business, City University of Hong Kong, Hong Kong)

Abstract

The COVID-19 pandemic has highlighted the importance of online learning. As learner autonomy is relatively high in online environments, learners must engage in self-regulated learning (SRL) to achieve optimal learning outcomes. Because most learners are unable to consistently engage in SRL, gamification interventions are being implemented to improve SRL engagement; however, mixed results cast doubt on the efficacy of this approach. Massively open online courses (MOOCs), a type of online learning environment, are currently experiencing rapid growth due to widespread adoption by many institutions. In MOOCs, there is no instructor intervention; hence, students have difficulty regulating their own learning and are easily distracted. Therefore, this study investigates whether mixed-research results regarding the efficacy of gamification can be attributed to lack of attention to individual learner traits during design. For this purpose, the study analyzes MOOCs as an instance of online learning by applying SRL theory and gamification principles. We altered a traditional MOOC platform to provide different types of gamified performance feedback to facilitate learners’ SRL engagement. We then examined whether this matched with goal orientation, an individual learner trait to influence SRL and learning outcomes. Using learning-analytics tools, we tracked 760 college students’ SRL engagement on a MOOC platform over five weeks. As theorized, SRL engagement and learning outcomes of participants who had a strong performance-avoidance goal orientation increased with positively framed performance feedback that involved no social comparisons; however, the same feedback had a negative impact on participants with a strong mastery goal orientation. Our findings add to SRL theory by demonstrating that gamification designs can enhance SRL engagement and learning outcomes in online learning, but with a caveat—this occurs only when there is a match with learner traits—confirming the gamification principle stating that task improvements and meaningful engagement can only occur through thoughtful gamification design.

Suggested Citation

  • Alvin Chung Man Leung & Radhika Santhanam & Ron Chi-Wai Kwok & Wei Thoo Yue, 2023. "Could Gamification Designs Enhance Online Learning Through Personalization? Lessons from a Field Experiment," Information Systems Research, INFORMS, vol. 34(1), pages 27-49, March.
    • Handle: RePEc:inm:orisre:v:34:y:2023:i:1:p:27-49
    DOI: 10.1287/isre.2022.1123
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    References listed on IDEAS

    as
    1. Radhika Santhanam & De Liu & Wei-Cheng Milton Shen, 2016. "Research Note—Gamification of Technology-Mediated Training: Not All Competitions Are the Same," Information Systems Research, INFORMS, vol. 27(2), pages 453-465, June.
    2. Jean Tirole & Roland Bénabou, 2006. "Incentives and Prosocial Behavior," American Economic Review, American Economic Association, vol. 96(5), pages 1652-1678, December.
    3. Radhika Santhanam & Sharath Sasidharan & Jane Webster, 2008. "Using Self-Regulatory Learning to Enhance E-Learning-Based Information Technology Training," Information Systems Research, INFORMS, vol. 19(1), pages 26-47, March.
    4. Amrit Tiwana & Benn Konsynski & Ashley A. Bush, 2010. "Research Commentary ---Platform Evolution: Coevolution of Platform Architecture, Governance, and Environmental Dynamics," Information Systems Research, INFORMS, vol. 21(4), pages 675-687, December.
    5. Panigrahi, Ritanjali & Srivastava, Praveen Ranjan & Sharma, Dheeraj, 2018. "Online learning: Adoption, continuance, and learning outcome—A review of literature," International Journal of Information Management, Elsevier, vol. 43(C), pages 1-14.
    6. Bandura, Albert, 1991. "Social cognitive theory of self-regulation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 248-287, December.
    7. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    8. Mun Y. Yi & Fred D. Davis, 2003. "Developing and Validating an Observational Learning Model of Computer Software Training and Skill Acquisition," Information Systems Research, INFORMS, vol. 14(2), pages 146-169, June.
    9. Shuk Ying Ho & David Bodoff & Kar Yan Tam, 2011. "Timing of Adaptive Web Personalization and Its Effects on Online Consumer Behavior," Information Systems Research, INFORMS, vol. 22(3), pages 660-679, September.
    10. Gabriele Piccoli & Joaquin Rodriguez & Biagio Palese & Marcin Lukasz Bartosiak, 2020. "Feedback at scale: designing for accurate and timely practical digital skills evaluation," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(2), pages 114-133, March.
    11. Koivisto, Jonna & Hamari, Juho, 2019. "The rise of motivational information systems: A review of gamification research," International Journal of Information Management, Elsevier, vol. 45(C), pages 191-210.
    12. Maryam Alavi & Dorothy E. Leidner, 2001. "Research Commentary: Technology-Mediated Learning—A Call for Greater Depth and Breadth of Research," Information Systems Research, INFORMS, vol. 12(1), pages 1-10, March.
    13. Peter C. Austin, 2017. "A Tutorial on Multilevel Survival Analysis: Methods, Models and Applications," International Statistical Review, International Statistical Institute, vol. 85(2), pages 185-203, August.
    14. Van de Velde, Liesbeth & Verbeke, Wim & Popp, Michael & Van Huylenbroeck, Guido, 2010. "The importance of message framing for providing information about sustainability and environmental aspects of energy," Energy Policy, Elsevier, vol. 38(10), pages 5541-5549, October.
    15. Krishnamurthy, Parthasarathy & Carter, Patrick & Blair, Edward, 2001. "Attribute Framing and Goal Framing Effects in Health Decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 85(2), pages 382-399, July.
    16. Levin, Irwin P. & Schneider, Sandra L. & Gaeth, Gary J., 1998. "All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects," Organizational Behavior and Human Decision Processes, Elsevier, vol. 76(2), pages 149-188, November.
    17. Ni Huang & Jiayin Zhang & Gordon Burtch & Xitong Li & Peiyu Chen, 2021. "Combating Procrastination on Massive Online Open Courses via Optimal Calls to Action," Information Systems Research, INFORMS, vol. 32(2), pages 301-317, June.
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