THE DEVELOPMENT OF AN INSTRUCTIONAL MODEL BASED ON DSNM MODEL INTEGRATED WITH DESIGN THINKING TO ENHANCE ACTIVE LEARNING MANAGEMENT COMPETENCIES OF INDUSTRIAL ARTS STUDENTS UNDER THE BACHELOR OF EDUCATION PROGRAM AT NAKHON SI THAMMARAT RAJABHAT UNIVERSITY

Abstract

This quasi-experimental research aimed to: 1) Develop an instructional model based on the DSNM model integrated with design thinking for Industrial Arts students; 2) Compare active learning management competencies; 3) Examine teacher spirituality and professional ethics; and 4) Study satisfaction towards the learning process. The sample consisted of 17 second-year Industrial Arts students studying in the second semester of the 2025 academic year, selected through purposive sampling based on the criteria of being pre-service teachers enrolled in a practical course. The research instruments included lesson plans (with an IOC range of 0.67 - 1.00), a competency assessment form, a teacher spirituality scale (with a reliability coefficient of 0.84), and a satisfaction questionnaire. Data collection was conducted by the researcher over a single semester, totaling 60 hours of instructional activities. Data were analyzed using mean, standard deviation, and non-parametric statistics due to the sample size being under 30. The research results revealed that: 1) The developed instructional model comprised four stages-Dukkha, Samudaya, Nirodha, and Magga-and was appropriate at the highest level. 2) The post-learning active learning management competencies were significantly higher than the pre-learning competencies at the .05 level. 3) Overall teacher spirituality was at the highest level ( = 4.76, S.D. = 0.34), with the highest mean score found in the aspect of responsibility and lesson preparation ( = 4.85, S.D. = 0.25). 4) The students had the highest level of overall satisfaction with the learning process ( = 4.82, S.D. = 0.28). The study suggests that this instructional model should be expanded by integrating it with local wisdom to build a distinct identity for pre-service vocational teachers, and contemporary digital technologies, such as Generative AI, should be leveraged to enhance brainstorming and instructional media design during the Nirodha and Magga stages to effectively engage modern learners.