DEVELOPMENT OF METAVERSE LEARNING ECOSYSTEM TO PROMOTE SELF-DIRECTED LEARNING OF UNIVERSITY STUDENTS
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Abstract
The purposes of this research were 1) to develop the efficiency of metaverse learning ecosystem to promote self-directed learning of university students, 2) to study students' learning achievements through the development of metaverse learning ecosystem to promote self-directed learning of university students, and 3) to assess the satisfaction of the development of metaverse learning ecosystem to promote self-directed learning of university students. The sample used in the research was 30 students who enrolled in the course “355230: Learning Environment Design” in the 2nd semester, academic year 2023. They were junior students from the Department of Educational Technology and Communication, Faculty of Education, Naresuan University. The research tools consisted of 1) a virtual learning ecosystem, 2) an e-learning achievement test, and 3) a self-directed learning satisfaction assessment form. The data analysis was presented by the average standard deviation and the Dependent T-test. The research results found that:
1. Development of the efficiency of metaverse learning ecosystem to promote self-directed learning of university students had the efficiency E1/E2 equals to 75.50/78.67, according to the 75/75 criteria.
2. Studying students' learning achievements through the development of metaverse learning ecosystem to promote self-directed learning of university students was statistically significant at the .05 level.
3. Students who learned through the development of metaverse learning ecosystem to promote self-directed learning of university students were satisfied at the very high level. There were 4 self-directed learning outcomes: 1) Smart Practice Skills, 2) Smart Creator Skills, 3) Virtual Instructor Skills, and 4) Smart Approach Skills.
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