Developing a Curriculum to Enhance Students’ Competencies in Artificial Intelligence through Blended Learning Using Collaborative Game-Based Learning in Higher Education: A Case Study of Yala Rajabhat University
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Abstract
The rapid changes in technology have created an urgent demand in the labor market for individuals with competencies in artificial intelligence. However, there is a lack of integration of content and teaching methods that systematically foster AI-related competencies in current higher education curricula. Moreover, there are no guidelines to learning activities that can actively promote engagement and proactively develop students' potential. This research aimed to examine the current, desirable states and needs of curriculum development in blended learning using collaborative game-based approach to enhance artificial intelligence competencies among higher education students. A survey research methodology was employed. A sample of 139 first-year students at Yala Rajabhat University who enrolled in the course "Technology and Media Literacy" in second semester, academic year 2023, participated in the study. A questionnaire was used to collect information regarding current, desired states, and needs for developing a higher education curriculum which enhances students’ competencies in artificial intelligence through blended learning using collaborative game-based learning. Frequency, percentage, mean, standard deviation, and PNI were analysed from the data. Results showed that the overall perceptions of first-year students regarding the current and desirable states in the curriculum development was at a high level. Specifically, the most needed aspect was the development of the artificial intelligence literacy curriculum (PNI modified = 0.011), followed by the needs in terms of environment and learning resources (PNI modified = 0.004), course content (PNI modified = 0.002), teaching and learning management (PNI modified = 0.001), instructor and measurement and evaluation (PNI modified = 0.000); respectively. The findings can serve as a guideline for developing AI education curricula to enhance quality education and learners’ potentials, effectively and sustainably prepare them for future job markets.
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