DESIGN OF AN INTERACTIVE E-MODULE BASED ON COGNITIVE CONFLICT AND DEEP LEARNING APPROACH FOR REMEDIATING STUDENTS’ MISCONCEPTIONS ON LIGHT WAVE CONCEPTS

Abstract

Conceptual understanding is a critical 21st-century competency that enables students to solve increasingly complex problems; however, physics instruction particularly regarding light waves is highly prone to misconceptions due to the subject’s abstract nature. A preliminary study at MAN 3 in Padang City showed that only 18.1% of students were classified as having a good grasp of the concepts, while 12.6% did not understand the concepts and 69.4% held misconceptions. Interviews with teachers and students revealed that instruction remains teacher-centered and that no specially designed digital learning materials are currently available, while an analysis of textbooks identified conceptual errors that could potentially lead to new misconceptions. This study aims to describe the characteristics of and develop a valid and practical interactive e-module based on cognitive conflict and the deep learning approach for the topic of light waves. The e-module was designed to remediate students’ misconceptions. This development study utilized Plomp’s model, limited to the one-to-one practicality testing phase with three students of high, moderate, and low ability levels. The e-module integrates four cognitive conflict strategies activation of preconceptions and misconceptions, presentation of cognitive conflicts, discovery of concepts and equations, and reflection combined with the principles of mindful, meaningful, and joyful learning. Expert validation results indicate that the e-module is highly valid, with an average Aiken’s V index of 0.92, and the one-to-one test results show that the e-module is highly practical, with an average score of 88.3% based on student perceptions. These results demonstrate the validity and practicality of the e-module, but not its effectiveness in remediating misconceptions. An effectiveness test has not yet been conducted; therefore, this e-module currently only has the potential to support the remediation of misconceptions and requires further testing in subsequent research