DEVELOPMENT OF THE LEARNING MODEL TO ENHANCE COMPUTATIONAL THINKING BY USING COGNITIVE COACHING BASED ON UBIQUITOUS ENVIRONMENT FOR UNDERGRADUATE STUDENTS Research Article
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Abstract
This research aimed to: 1) investigate the current situation, needs, and synthesize learning management approaches that promote computational thinking among undergraduate students, 2) develop a learning model that enhances computational thinking through cognitive coaching within a ubiquitous learning environment, and 3) An evaluation of the effectiveness of the developed model. The research employed a three-phase research and development (R&D) design: (1) analysis of the current situation, needs, and synthesis of learning management strategies; (2) model development and expert validation; and (3) implementation with a target group. The research instruments included a needs assessment questionnaire, synthesis record forms, in-depth interview protocols, model evaluation forms, a ubiquitous learning system, a computational thinking test, and a satisfaction questionnaire. Data were analyzed using mean, standard deviation, PNI analysis, and t-test. The results showed that: 1) the current state of learning management was at a moderate to low level, while the students’ needs were high to very high in all aspects. The synthesized approach suggested the use of active learning with problem-based strategies, flexible technology integration, cognitive coaching, and comprehensive assessment aligned with core computational thinking components. 2) The developed model consisted of four components and was evaluated at a high level of appropriateness ( = 4.31, S.D. = 0.47). 3) The ubiquitous learning system demonstrated high efficiency (86.72/88.62), and students’ post-test scores in computational thinking were significantly higher than pre-test scores at the .05 level. The level of satisfaction was significantly higher than the predetermined criterion of 4 at the .05 level of statistical significance.
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