THE DEVELOPMENT OF SYSTEMATIC THINKING ABILITY AND ACADEMIC ACHIEVEMENT COMPUTATIONAL SCIENCE SUBJECT BY USING MACRO MODEL LEARNING ACTIVITIES FOR TENTH GRADE STUDENTS

Abstract

This research aimed to: (1) compare students’ systematic thinking ability before and after participating in learning activities based on the Macro Model, and (2) compare students’ learning achievement before and after participating in the Macro Model activities. The population comprised 7,401 Grade 10 students under the Secondary Educational Service Area Office of Trang and Krabi, in the academic year 2023. The sample consisted of 34 Grade 10 students from
SinpunKunnawit School, obtained through cluster random sampling in the second semester of the 2023 academic year. The research instruments included: (1) a set of lesson plans for the Computer Science subject using the Macro Model learning activities, with content validity indices ranging from 0.67 to 1.00; (2) a learning achievement test with difficulty indices between 0.24–0.80, discrimination indices between 0.20–0.56, and a reliability coefficient of 0.71; and (3) a systematic thinking ability test with a content validity index of 1.00, difficulty indices between 0.47–0.65, discrimination indices between 0.25–0.50, and a reliability coefficient of 0.87. The statistics used for data analysis were mean, standard deviation, and a t-test for dependent samples.

          The results revealed that: (1) students’ systematic thinking ability after participating in the Macro Model activities was significantly higher than before learning at the .01 level, and (2) students’ learning achievement after participating in the Macro Model activities was also significantly higher than before learning at the .01 level. These findings indicate that the Macro Model effectively enhances both systematic thinking ability and learning achievement, suggesting its potential for broader application in secondary education.