THE DEVELOPMENT OF AN AI-BASED TEACHING AND LEARNING MODEL FOR ENHANCING ACTIVE LEARNING OF RAJABHAT UNIVERSITY STUDENTS

Abstract

This research aimed to (1) develop an instructional model based on Artificial Intelligence (AI) to enhance active learning among Rajabhat University students; (2) examine the effects of the developed instructional model on students’ levels of active learning; and (3) compare students’ learning achievement before and after the implementation of the AI-based instructional model. The research was conducted in four phases: Phase 1: studying the current state, problems, and needs; Phase 2: developing the artificial intelligence (AI)-based instructional model; Phase 3: implementing the instructional model; and Phase 4: evaluating its effectiveness. The sample consisted of 40 undergraduate students from a Rajabhat University, selected through cluster random sampling. The research instruments included an AI-based instructional model, lesson plans, an active learning assessment form, and a learning achievement test. Data were analyzed using mean, standard deviation, and a dependent samples t-test.

The results revealed that: (1) the developed AI-based instructional model comprises five components: the model's principles, objectives, the teaching and learning process, the roles of teachers, students, and AI, alongside measurement and evaluation. Overall, the model was rated at the highest level of appropriateness; (2) students’ active learning levels after the implementation were at a high level; and (3) students’ post-test learning achievement was significantly higher than their pre-test scores at the .05 level of statistical significance.