Development and Evaluation of ChatGPT-Integrated Differentiated Mobile E-Physics to Improve Student Motivation and Cognitive Performance.

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Bibliographic Details
Title: Development and Evaluation of ChatGPT-Integrated Differentiated Mobile E-Physics to Improve Student Motivation and Cognitive Performance.
Alternate Title: Pembangunan dan Penilaian E-Phyics Mobile Berdiferensiasi Berintegrasi ChatGPT untuk Meningkatkan Motivasi dan Prestasi Kognitif Pelajar.
Authors: WAHID, AHMAD DHIYAUL1 wahidlangon.wa@gmail.com, ASTUTI, BUDI1 b_astuti79@mail.unnes.ac.id, RUSILOWATI, ANI1 rusilowati@mail.unnes.ac.id, SUBALI, BAMBANG1 bambangfisika@mail.unnes.ac.id, HASHIM, KHADIJAH SAID2 khadi642@uitm.edu.my
Source: Jurnal Pendidikan Malaysia. May2026, Vol. 51 Issue 1, p1-20. 20p.
Subject Terms: *Mobile learning, *Educational technology, *Cognitive ability, *Physics education, *Individualized instruction, *Academic motivation, ChatGPT, Renewable energy sources
Abstract (English): This study aimed to develop and evaluate a ChatGPT-integrated differentiated mobile e-physics application for renewable energy learning. Specifically, the study examined the practicality and effectiveness of the developed application in improving students' learning motivation and cognitive performance. This study employed a Research and Development (R&D) approach using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. The participants of this study were 34 tenth-grade students from SMA Negeri 2 Ungaran selected through purposive sampling. The participants were selected based on their access to classroom Wi-Fi and smartphone during learning activities. Data collected using observation sheets, cognitive tests, motivation questionnaires, practicality questionnaires, and documentation. The collected data were analyzed using descriptive percentage analysis and normalized gain (N-gain) analysis, The findings revealed that the ChatGPT-integrated differentiated mobile e-physics application was categorized as highly practica, with a practicality percentage of 79.92%. Furthermore, the application moderately improved students' learning motivation, with an N-gain score of 0.30, and cognitive performance, with an N-gain score of 0.44. These findings indicate that integrating differentiated learning and ChatGPT-assisted interaction into mobile learning environments can support more interactive, flexible, and personalized physics learning experiences. [ABSTRACT FROM AUTHOR]
Abstract (Indonesian): Kajian ini bertujuan untuk membangunkan dan menilai aplikasi e-Physics mudah alih berbeza terintegrasi ChatGPT bagi pembelajaran tenaga boleh diperbaharui. Secara khusus, kajian ini meneliti kepraktisan dan keberkesanan aplikasi yang dibangunkan dalam meningkatkan motivasi pembelajaran dan prestasi kognitif pelajar. Kajian ini menggunakan pendekatan Penyelidikan dan Pembangunan (R&D) dengan model ADDIE yang terdiri daripada lima peringkat, iaitu analisis, reka bentuk, pembangunan, pelaksanaan, dan penilaian. Peserta kajian terdiri daripada 34 orang pelajar Tingkatan 4 dari SMA Negeri 2 Ungaran yang dipilih menggunakan persampelan bertujuan. Pemilihan peserta dibuat berdasarkan akses mereka terhadap Wi-Fi bilik darjah dan penggunaan telefon pintar semasa aktiviti pembelajaran. Data dikumpulkan menggunakan lembaran pemerhatian, ujian kognitif, soal selidik motivasi, soal selidik kepraktisan, dan dokumentasi. Data yang diperoleh dianalisis menggunakan analisis peratusan deskriptif dan analisis normalized gain (N-gain). Dapatan kajian menunjukkan bahawa aplikasi e-Physics mudah alih berbeza terintegrasi ChatGPT dikategorikan sebagai sangat praktikal dengan peratusan kepraktisan sebanyak 79.92%. Selain itu, aplikasi ini menunjukkan peningkatan sederhana terhadap motivasi pembelajaran pelajar dengan skor N-gain sebanyak 0.30, serta peningkatan sederhana terhadap prestasi kognitif pelajar dengan skor N-gain sebanyak 0.44. Dapatan ini menunjukkan bahawa pengintegrasian pembelajaran terbeza dan interaksi berbantukan ChatGPT dalam persekitaran pembelajaran mudah alih mampu menyokong pengalaman pembelajaran fizik yang lebih interaktif, fleksibel, dan diperibadikan. [ABSTRACT FROM AUTHOR]
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Database: Education Research Complete
Description
Abstract:This study aimed to develop and evaluate a ChatGPT-integrated differentiated mobile e-physics application for renewable energy learning. Specifically, the study examined the practicality and effectiveness of the developed application in improving students' learning motivation and cognitive performance. This study employed a Research and Development (R&D) approach using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. The participants of this study were 34 tenth-grade students from SMA Negeri 2 Ungaran selected through purposive sampling. The participants were selected based on their access to classroom Wi-Fi and smartphone during learning activities. Data collected using observation sheets, cognitive tests, motivation questionnaires, practicality questionnaires, and documentation. The collected data were analyzed using descriptive percentage analysis and normalized gain (N-gain) analysis, The findings revealed that the ChatGPT-integrated differentiated mobile e-physics application was categorized as highly practica, with a practicality percentage of 79.92%. Furthermore, the application moderately improved students' learning motivation, with an N-gain score of 0.30, and cognitive performance, with an N-gain score of 0.44. These findings indicate that integrating differentiated learning and ChatGPT-assisted interaction into mobile learning environments can support more interactive, flexible, and personalized physics learning experiences. [ABSTRACT FROM AUTHOR]
ISSN:21800782