Abdul Haris Odja, Jepri Dikum, Citron Supu Payu, Supartin Supartin, Wirawan Fadly

Development of Problem-Based Learning with A Variety of Media to Improve Problem-Solving Skills in Mechanical Wave Material

Introduction

Development of problem-based learning with a variety of media to improve problem-solving skills in mechanical wave material. Develop valid, practical, and effective problem-based learning (PBL) tools with diverse media to boost problem-solving skills in Mechanical Wave material. Research proves high impact on student performance.

Abstract

This research aims to produce learning tools that use a problem-based learning model with various media to improve valid, practical, and effective problem-solving skills. This research is a type of research and development (R&D). This research uses the ADDIE model, which stands for Analysis, Design, Development, Implementation, and Evaluation. The research results show that the learning tools are valid, practical, and effective and can be applied in the learning process. The learning tools' validation results are very valid and suitable for use. Practical learning tools with learning implementation results that reach very good criteria and the response given by teachers and students to positive learning tools. Effective learning tools are used to observe student activities, obtain good criteria, and test the results of problem-solving skills for data normality and normal distribution. The completeness of students' problem-solving ability scores is seen from the t-test results, which concludes the students' scores. Learning tools are very influential, as indicated by the value of the effect size test with high criteria. The results of problem-solving skills were increased by increasing the N-gain test in the medium category. Based on the research results, it can be concluded that the learning tools are valid, practical, and effective.

Review

This paper presents a research and development effort focused on creating and evaluating problem-based learning tools enhanced with various media to improve problem-solving skills in the context of mechanical wave material. Employing the well-established ADDIE model (Analysis, Design, Development, Implementation, Evaluation), the authors aim to produce learning tools that are not only valid but also practical and effective in a real classroom setting. The overarching goal to address problem-solving skills, a critical component of scientific literacy, through a structured and media-rich PBL approach is commendable and aligns with current educational trends. The abstract highlights several strengths in the development and evaluation of these learning tools. The systematic adherence to the ADDIE model provides a robust framework for ensuring quality throughout the process. The findings consistently report positive outcomes across all evaluation criteria: the tools were deemed "very valid" by experts, demonstrated "very good criteria" for practicality based on implementation and received "positive" responses from both teachers and students. Furthermore, the effectiveness was evidenced by "good criteria" in student activities, a "high" effect size, and a "medium category" increase in problem-solving skills as measured by the N-gain test, indicating a tangible positive impact on student learning. While the abstract provides a strong overview of positive results, certain aspects could benefit from further elaboration to enhance clarity and impact. The "variety of media" used is mentioned but not specified, leaving the reader to wonder about the specific types of media and their role in facilitating problem-based learning. Similarly, the nature of the "learning tools" themselves—whether they are digital resources, physical kits, or specific pedagogical materials—could be detailed. The description of effectiveness, particularly regarding the t-test results and "completeness of students' problem-solving ability scores," is somewhat ambiguous and could be clarified by stating the specific hypothesis tested and the comparative groups, if any. Providing more quantitative details for key metrics like effect size, N-gain percentages, or actual score improvements would further strengthen the claims made about the tools' effectiveness.

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