Student Teachers' Satisfaction with the Learning Management of the Course "Module of Curriculum and Learning Management for Diverse Learners" Based on AI Technology

Abstract

In an era where technology plays a pivotal role in education, the application of Artificial Intelligence (AI) in learning management has become an effective approach to address the learning needs of the 21^st century. This is especially true for courses aimed at managing diverse learners. The study of student teachers' satisfaction with such learning methods is crucial in reflecting learners' perspectives and leading to the development of more effective and suitable teaching strategies. This research aims to examine the satisfaction of student teachers with the learning management of the course "Module of Curriculum and Learning Management for Diverse Learners," which is based on AI technology. The sample group consists of 29 first-year graduate diploma students from the Faculty of Education, Nakhon Ratchasima Rajabhat University, who enrolled in this course during the second semester of the 2024 academic year. The research tool used was a student satisfaction questionnaire, and data analysis involved calculating mean scores and standard deviations. The findings revealed an overall high level of satisfaction. When examining individual aspects, the highest satisfaction was related to the content design, followed by the teachers' skills and learning management in the digital era. The lowest satisfaction was found in the area of assessment and evaluation.