Implementation of Module Based on Predict-Observe-Explain (POE) Integrated with Ethnoscience: Analysis of Relationship with Students' Concept Understanding
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Selina Damayanti, Boby Syefrinando, Fibrika Rahmat Basuki, Sereima Baleisomi Takiveikata, Saprolla Rollie C Deporos

Implementation of Module Based on Predict-Observe-Explain (POE) Integrated with Ethnoscience: Analysis of Relationship with Students' Concept Understanding

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Introduction

Implementation of module based on predict-observe-explain (poe) integrated with ethnoscience: analysis of relationship with students' concept understanding. Study reveals POE-based Physics module with ethnoscience significantly improves students' conceptual understanding of static fluid, linking science with local wisdom.

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Abstract

This study aims to test the effectiveness of the Predict-Observe-Explain (POE)-based Physics module integrated with ethnoscience in improving students' conceptual understanding of static fluid material. This study used a quasi-experimental method with a one-group pretest-posttest design, involving 70 grade XI students at State Senior High School 8, Jambi City. Data were collected through pretests, posttests, and student response questionnaires. The t-test results showed a significant increase in student learning outcomes, where the average pre-test score of 65.4 increased to 85.7 after learning (p < 0.05). The Pearson correlation test showed a significant positive relationship between student responses to the module and conceptual understanding (r = 0.762, p < 0.05). These findings indicate that the POE-based module integrated with ethnoscience can improve students' conceptual understanding by linking scientific concepts with local wisdom. This study contributes to developing innovative teaching materials that are contextual and empirically evidence-based. Further research is recommended to expand the application of the module to other subjects and larger populations.


Review

This study presents an innovative approach to physics education by integrating the Predict-Observe-Explain (POE) learning model with ethnoscience, specifically targeting students' conceptual understanding of static fluid material. The findings, derived from a quasi-experimental one-group pretest-posttest design, indicate a significant improvement in student learning outcomes, with mean scores rising substantially from 65.4 to 85.7. Furthermore, the positive correlation between student responses to the module and their conceptual understanding (r = 0.762) highlights the perceived value and efficacy of connecting scientific concepts with local wisdom, making learning more contextual and engaging. The study successfully demonstrates the potential of such an integrated module in developing empirically-backed, innovative teaching materials. While the study offers promising results, certain methodological aspects warrant consideration. The use of a one-group pretest-posttest design, although showing improvement, inherently limits the strength of causal claims; without a control group, it is challenging to definitively attribute the observed gains solely to the POE-ethnoscience module, as other extraneous factors might have played a role. Additionally, the study's scope, involving 70 students from a single high school in Jambi City, restricts the generalizability of the findings to broader and more diverse educational settings. A deeper exploration into the specific mechanisms of *how* the integration of local wisdom directly fosters conceptual understanding in static fluid concepts, beyond a general statement of "linking," would also strengthen the theoretical contributions. Despite these limitations, this research makes a valuable contribution to the field of science education by offering an empirically supported model for contextualized and culturally relevant learning. The successful implementation of the POE-ethnoscience module provides a compelling example of how incorporating local wisdom can significantly enhance student engagement and conceptual understanding in physics. The authors' recommendation for expanding the module's application to other subjects and larger populations is well-justified. Future research would greatly benefit from employing a true experimental design with a control group to establish stronger causal links and exploring its impact across different cultural contexts to enhance the generalizability and robustness of these promising findings.


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