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Personalised recommendation model for senior learning: a case study of Thai seniors to enhance social network skills

Author

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  • Kanchana Boontasri
  • Punnarumol Temdee

Abstract

To promote senior learning, this study proposes a personalised recommendation model using the combination of performance, preference, and physical condition factors of the learners, namely the 3P personalised recommendation model. Presented in the set of pre-defined rules, it consists of learning object selection and content presentation. A total of 68 Thai seniors aged between 60 and 83 years old from senior school participated in the case study for enhancing social media skills, how to use LINE application, on electronic learning platform. The learners were required to complete all learning objects with flexible learning paces. The recommendation was given to everyone individually after having each test in a learning object. The proposed model was evaluated in learning enhancement ability and learner satisfaction. The result revealed that the recommendation provided by the proposed model could effectively enhance learning efficiency of seniors. Also, the proposed model obtained satisfaction at the 'very satisfied' level.

Suggested Citation

  • Kanchana Boontasri & Punnarumol Temdee, 2022. "Personalised recommendation model for senior learning: a case study of Thai seniors to enhance social network skills," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 32(4), pages 435-455.
    • Handle: RePEc:ids:ijilea:v:32:y:2022:i:4:p:435-455
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