The Learning Model in the Metaverse for Promoting Collaborative Learning on the Thai MOOC Platform

Abstract

This study has two primary objectives: 1) to explore the components and learning models within the metaverse that promote collaborative learning on the Thai MOOC platform, and 2) to develop and refine this metaverse-based learning model. The study identified four key components of the metaverse: 1) People, 2) Learning Strategies, 3) Media, and 4) Technology. The learning process is structured into four stages: 1) Preparation and Immersion, 2) Mission/Quest, 3) Assessment, and 4) Repetition/Reflection. Evaluation results indicate that the learning model is highly suitable for enhancing collaborative learning on the Thai MOOC platform, with an overall mean score of 4.43 and a standard deviation of 0.53. The components and learning stages received the highest appropriateness ratings, each with a mean score of 4.57 and standard deviations of 0.49 and 0.51, respectively. Among the components, Media was rated the most appropriate, with a mean score of 4.71 and a standard deviation of 0.49. The People and Technology components were equally rated, each with a mean score of 4.57 and a standard deviation of 0.53. For the learning stages, Preparation and Immersion, Mission/Quest, and Assessment all received equally high ratings, each with a mean score of 4.57 and a standard deviation of 0.53, except for Repetition/Reflection, which had a standard deviation of 0.79.



Author Information
Chutiwat Suwatthipong, Sukhothai Thammathirat Open University, Thailand
Thanathnuth Chatpakkarattana, Sukhothai Thammathirat Open University, Thailand
Suchart Saenpich, Sukhothai Thammathirat Open University, Thailand

Paper Information
Conference: ACE2024
Stream: Adult

This paper is part of the ACE2024 Conference Proceedings (View)
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Posted by James Alexander Gordon