Zohri Ratna
Program Studi PGMI, STIT Palapa Nusantara Lombok NTB, Indonesia

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

DEVELOPMENT OF ANDROID-BASED INTERACTIVE E-MODULES FOR PHYSICS LEARNING ON MECHANICAL WAVE MATERIAL Zohri Ratna
Jurnal Inovasi Fisika dan Edukasi Vol. 1 No. 1 (2025): June
Publisher : INERCYS: Institute of Educational, Research, and Community Service

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of digital technology drives transformation in the world of education, including in the use of mobile-based learning media. Physics learning, especially in mechanical wave material, often faces obstacles in terms of understanding concepts due to limited visualization media that support the learning process. This study was conducted to develop and test the feasibility of an Android-based interactive e-module as a physics learning media that can improve the effectiveness and quality of student learning in mechanical wave material. This study is a development research (Research and Development) using the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The subjects in this study consisted of material experts, media experts, physics teachers, and grade XI students at one of the state high schools in Indonesia. Data collection techniques were carried out through expert validation, user response questionnaires (teachers and students), and learning outcome tests before and after using the e-module. The data collected were analyzed using quantitative descriptive analysis techniques, including validity, practicality, and effectiveness. The results showed that the interactive e-module developed was declared very valid with an average validation score of 91.25%. Teacher and student responses showed a high level of practicality with an average percentage of 89.7%. The effectiveness test produced an N-gain value of 0.72 which is included in the high category, indicating that the use of e-modules can significantly improve student understanding. It can be concluded that the Android-based interactive e-module developed in this study is suitable for use as a learning medium for mechanical wave material, and provides a positive contribution to improving the quality of physics learning in the digital era.
QUANTUM STORYTELLING ARTIFICIAL INTELLIGENCE (AI) BASED PHYSICS LEARNING TO ENHANCE STUDENTS' CONCEPTUAL INTUITION ON NON-CLASSICAL PHENOMENA Zohri Ratna
Jurnal Inovasi Fisika dan Edukasi Vol. 1 No. 2 (2025): December
Publisher : INERCYS: Institute of Educational, Research, and Community Service

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Quantum storytelling artificial intelligence–based physics learning is an important aspect of physics education because conventional instructional approaches often fail to support students in developing strong conceptual intuition toward non-classical phenomena that are abstract, probabilistic, and counterintuitive, such as superposition, entanglement, and the quantum uncertainty principle. This limitation highlights the need for further research focusing on innovative instructional strategies that integrate artificial intelligence–driven narrative approaches to bridge students’ conceptual understanding of quantum phenomena. This study aims to examine the effectiveness of quantum storytelling–based physics learning supported by artificial intelligence in enhancing students’ conceptual intuition of non-classical phenomena. The research employed an experimental method with a quasi-experimental design involving an experimental group and a control group. Data were collected through quantum conceptual intuition tests, learning engagement observation sheets, and instructional documentation. The collected data were analyzed using descriptive statistics and inferential analysis through an independent samples t-test. The results indicate that students in the experimental group achieved significantly higher conceptual intuition scores (M = 83.7; SD = 6.4) than those in the control group (M = 70.9; SD = 7.6), with a statistically significant difference (t(58) = 5.61, p < 0.001) and a strong effect size (Cohen’s d = 0.86). These findings demonstrate that the integration of quantum storytelling supported by artificial intelligence effectively strengthens students’ conceptual intuition through narrative, visual, and reflective representations aligned with quantum physics principles. This study provides a significant contribution to the advancement of physics education at both national and international levels by proposing an innovative artificial intelligence–based narrative learning model for non-classical physics instruction. Furthermore, the findings are expected to serve as a reference for future research in quantum physics education, artificial intelligence–supported science learning, and studies on conceptual intuition in abstract physics domains.