 Personalised recommendation model for senior learning: a case study of Thai seniors to enhance social network skillsKanchana Boontasri and Punnarumol Temdee International Journal of Innovation and Learning, 2022, vol. 32, issue 4, 435-455 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. Keywords: senior learning; recommendation; personalised learning; social network skill. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijilea:v:32:y:2022:i:4:p:435-455 Access Statistics for this article More articles in International Journal of Innovation and Learning from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.