نبذة مختصرة : The objective of this study is to develop a digital module-based Predict-Observe-Explain (POE) in a valid, practical, and efficient form to enhances students’ conceptual understanding of physics. The Plomp model, including three stages—preliminary research, development or prototype phase, and assessment phase—was employed in the experimental research. A questionnaire and interview sheet were used to discover school problems in preliminary research. A digital module-based POE with computer-assisted feedback was designed in the next phase. Around five experts gave their evaluation of the prototype. The practicality test was conducted by one-to-one evaluation (three students) and small group (nine students). The validity and practicality sheets were used in both stages. The assessment phase was conducted as quasiexperiment with pre-post tests design that involving two experiments classes with a total sample of 60 students. The test was used to collect data in this stage. All the data were analyzed using the percentage technique, Aikens’ V formula, N-Gain, and Wilcoxon test. Preliminary research showed that many problems occur in physics learning; students find it difficult to understand physics, there is a limited digital module used in learning, the teacher dominates physics learning, and giving feedback to the students is not optimal. Digital module-based POE with computer-assisted feedback appears as a solution. Based on validity evaluation by experts, it showed that the prototype was valid (V = 0.94). Practicality evaluation by oneto-one and small groups obtained that the product was very practical. Then, the effectiveness test results based on the N-gain showed the improvement of students’ conceptual understanding in the moderate category (0.58 and 0.30 for experiment class and control class, respectively). Based on the Wilcoxon test, Sig. (2tailed) < 0.05, which indicates a significant effect. In summary, digital module-based POE with computer-assisted feedback effectively improves students’ conceptual ...
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