DEVELOPMENT OF A COMPUTER TECHNOLOGY LEARNING ECOSYSTEM FOR INDUSTRIAL ARTS USING THE FOUR NOBLE TRUTH’S STRUCTURE

Abstract

Research article aims to: 1) Develop a computer technology learning ecosystem for industrial arts using the Four Noble Truths structure; 2) Evaluate its quality and efficiency; and 3) Investigate the causal relationships and impacts of the system on problem-solving skills and artificial intelligence-driven innovation. A research and development design, integrated with an experimental approach, was employed. The purposive sample consisted of 17 undergraduate students and 5 experts. The research instruments included the learning ecosystem platform, learning behavior logs, an industrial arts design problem-solving skill test, and a technology acceptance questionnaire. Data were analyzed using descriptive statistics, Multivariate Analysis of Variance (MANOVA), learning behavior correlation analysis, and Structural Equation Modeling (SEM). The findings revealed that: 1) The developed learning ecosystem could systematically organize data architecture according to the Four Noble Truths structure; 2) The processing quality and efficiency of the system were at the highest level; and
3) The students' design skills, precision in writing artificial intelligence control commands, and engineering standard accuracy were significantly higher post-learning compared to pre-learning. Furthermore, the behavioral log data indicated that the frequency of command refinement during the Magga (the Path) stage exhibited a positive correlation with design achievement. Additionally, the data architecture based on the Four Noble Truths directly and positively impacted technology acceptance and the perceived success in logically controlling artificial intelligence. A newly discovered body of knowledge is the paradigm shift that conceptualizes artificial intelligence as a computational cognitive interlocutor, seamlessly integrating Buddhist logical practices into technological architecture. In conclusion, the application of religious logic to govern artificial intelligence facilitates the systematic restructuring of learners' cognitive processes, allowing them to transcend traditional design limitations. The pivotal lesson learned is that advanced innovation must fundamentally be supported by a rational cognitive structure.