The Development of Science Learning Activity Sets Based on the Predict-Observe-Explain (POE) Instructional Approach on the Topic of Forces in Everyday Life for Students

Main Article Content

Kornkamol Chuchuoy
Nuntiya Noichan
Thidawan Phutthachan

Abstract

This research aims to: 1) develop and analyze the effectiveness of a science learning activity sets based on the Predict-Observe-Explain (POE) approach on the topic of Forces in Everyday Life for Grade 5 students, ensuring that its effectiveness meets the 75/75 criteria, 2) study the learning achievement, and 3) study the learning skills, and 4) study the satisfaction with the learning activity. The sample group were 23 Grade 5 students from 3 participating schools in 1st semester of the academic year 2024, selected from a total of 60 students across 6 participating schools. They were selected by purposive sampling. Research tools include a POE-based learning activity, an achievement test, a learning skills assessment, and a satisfaction Assessment Form. Data analysis and data present E1/E2, average, standard deviation, and the growth scores. The results showed that: 1) the learning activity achieved an effectiveness of 80.48/80.33, which exceeded the set criteria, 2) the post-learning achievement was significantly higher than the pre-learning achievement, with a high average growth score. 3) the post-learning skills were significantly higher than the pre-learning skills, with the highest development in collaboration, analytical thinking, and communication, respectively, and 4) the overall satisfaction with the learning activities was at the highest level (equation = 4.66, S.D. = 0.47)

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How to Cite
Chuchuoy, K., Noichan, N. ., & Phutthachan, T. . (2025). The Development of Science Learning Activity Sets Based on the Predict-Observe-Explain (POE) Instructional Approach on the Topic of Forces in Everyday Life for Students. Journal of Technical and Engineering Education, 16(2), 42–52. retrieved from https://so10.tci-thaijo.org/index.php/FTEJournal/article/view/1453
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