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Meilan Demulawa
Universitas Negeri Gorontalo
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Application of Thermodynamic Wave KIT-based Deep Learning to Reduce Misconceptions in Grade XI High School Students Regarding Heat Muzdalifa A. Madusila; Asri Arbie; Meilan Demulawa
Kasuari: Physics Education Journal (KPEJ) Vol. 9 No. 1 (2026): June 2026
Publisher : Universitas Papua, Jurusan Pendidikan Fisika FKIP Unipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37891/kpej.v9i1.1108

Abstract

This study aims to reduce the level of misconceptions experienced by eleventh-grade high school students on Heat material through the application of a deep learning approach combined with the use of the Wave and Thermodynamics KIT. The research method used was a quasi-experimental one-group pretest–posttest design, involving one class as the experimental class and two classes as replication classes. The research instrument was a three-tier multiple-choice diagnostic test used to map students' misconceptions before and after the learning treatment. Data were analysed using descriptive statistics, two-proportion tests, and normalised gain (n-gain) calculations. The research findings showed a very significant decrease in the frequency of misconceptions, namely from 6.10 to 1.00 in the experimental class; from 5.53 to 1.40 in the first replication class; and from 6.33 to 1.33 in the second replication class. This decrease was also accompanied by an increase in the conception score in each class, as reflected in average n-gain values of 0.69 in the experimental class, 0.72 in the first replication class, and 0.76 in the second replication class. Thus, it can be concluded that the application of deep learning supported by the Wave and Thermodynamics KIT is effective in reducing high school students' misconceptions about Heat material while simultaneously increasing their conceptual understanding to a medium to high level.
Co-Authors AA Sudharmawan, AA Abdi Gunawan Djafar Abdjul, Tirtawati Andi Indra Wulan Sari Ramadani Anisa Handani Uno Asri Arbie Azmi Asra Buhungo, Trisnawaty Junus Citron S Payu Desy Nuraini Lakutu Dewa Gede Eka Setiawan febriyanti febriyanti Fikri Maulana Ntobuo Fitriani Fitriani Fitryane Lihawa Furqon Sanjaya Gafur, Nurfitri Abdul Gani, Sintia N. Gerald Tamuntuan Goma, Metalika Hamid Syahropi Haris Munandar Harsano Jayadi Hartono D. Mamu Herinda Mardin Ika Daruwati Ika Daruwati Ika Daruwati, Ika Indriati Martha Patuti Irsan Irsan Irsan Rahman Isa, Putri Cahyani Jahja, Mohamad Kalbi, Kalbi Kurniasari, Septiana La Nane Latief, Muh Fachrul Mauli, Eka Nurdiana U Meidji, Icha Untari Mohamad, Humaira Muh. Nur Akbar Muhammad Jahja Muhammad Yunus Muhammad Yunus Muhammad Yunus Mursalin . Muzdalifa A. Madusila Napu, Asriyani Nono’o, Sandra Nurhikmah Sasna Junaidi Sasna Junaidi, Nurhikmah Sasna Junaidi Sasna Nurul Maulida Alwi R. Akuba, Kisman Rahim, Niarti Ramadani, A. Indra Wulan Sari Rifai, Rusni R Rindi Genesa Hatika Robin Ikano Salmawaty Tansa Sitti Resti Despianti Sohibun -, Sohibun Supartin Supartin Supartin Supartin, Supartin Supu Idawati Supu, Idawati Supu, Idawaty Suwaldi Mopangga T. Paputungan, Devi Virna, Rila Waode Eti Hardianti Wiwin Kobi Yusuf Usman