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Development of artificial intelligence-based physics learning modules on static fluid material to facilitate student learning outcomes

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Τίτλος: Development of artificial intelligence-based physics learning modules on static fluid material to facilitate student learning outcomes
Συγγραφείς: Annida, Alzahranitia, Oktarisa, Yuvita, Guntara, Yudi
Πηγή: Practice of The Science of Teaching Journal: Jurnal Praktisi Pendidikan; Vol. 4 No. 1 (2025): May; 55-60 ; 2830-568X ; 10.58362/hafecspost.v4i1
Στοιχεία εκδότη: HAFECS PRESS
Έτος έκδοσης: 2025
Θεματικοί όροι: module development, artificial intelligence, static fluids, learning outcomes, physics
Περιγραφή: This study aims to develop a physics learning module based on Artificial Intelligence (AI) on static fluid material to facilitate the learning outcomes of grade XI SMA/MA students. The background of this study is the low learning outcomes of students caused by lack of interest in learning, limited learning media, and the abstract nature of static fluid material that is difficult to understand without the help of interactive and adaptive media. This study uses the Research and Development (R&D) method with a 4D development model modified into three stages, namely define, design, and develop. The product developed is an AI-based learning module with chatbot integration as a virtual tutor, equipped with comics, activity sheets, practice questions, and evaluations that enable independent learning. The validation results from material and media experts show that this module is very feasible to use with a material feasibility value of 4.08 and media of 4.15. Limited trials were conducted on 34 grade XI SMAN 1 Kragilan students with an average response result of 4.46, which indicates a very feasible category. It can be concluded that the developed Artificial Intelligence-based physics learning module is stated to be feasible and effective as an alternative teaching material in physics learning in high school, especially in static fluid material. Abstrak. Penelitian ini bertujuan untuk mengembangkan modul pembelajaran fisika berbasis Artificial Intelligence (AI) pada materi fluida statis untuk memfasilitasi hasil belajar peserta didik kelas XI SMA/MA. Latar belakang dari penelitian ini adalah rendahnya hasil belajar peserta didik yang disebabkan oleh kurangnya minat belajar, keterbatasan media pembelajaran, serta sifat abstrak dari materi fluida statis yang sulit dipahami tanpa bantuan media yang interaktif dan adaptif. Penelitian ini menggunakan metode Research and Development (R&D) dengan model pengembangan 4D yang dimodifikasi menjadi tiga tahap, yaitu define, design, dan develop. Produk yang dikembangkan ...
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: https://jurnal.hafecs.id/index.php/hafecspost/article/view/125/43; https://jurnal.hafecs.id/index.php/hafecspost/article/view/125
DOI: 10.58362/hafecspost.v4i1.125
Διαθεσιμότητα: https://jurnal.hafecs.id/index.php/hafecspost/article/view/125
https://doi.org/10.58362/hafecspost.v4i1.125
Rights: Copyright (c) 2025 Alzahranitia Annida, Yuvita Oktarisa, Yudi Guntara ; https://creativecommons.org/licenses/by-nc-sa/4.0
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  Data: Practice of The Science of Teaching Journal: Jurnal Praktisi Pendidikan; Vol. 4 No. 1 (2025): May; 55-60 ; 2830-568X ; 10.58362/hafecspost.v4i1
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  Data: This study aims to develop a physics learning module based on Artificial Intelligence (AI) on static fluid material to facilitate the learning outcomes of grade XI SMA/MA students. The background of this study is the low learning outcomes of students caused by lack of interest in learning, limited learning media, and the abstract nature of static fluid material that is difficult to understand without the help of interactive and adaptive media. This study uses the Research and Development (R&D) method with a 4D development model modified into three stages, namely define, design, and develop. The product developed is an AI-based learning module with chatbot integration as a virtual tutor, equipped with comics, activity sheets, practice questions, and evaluations that enable independent learning. The validation results from material and media experts show that this module is very feasible to use with a material feasibility value of 4.08 and media of 4.15. Limited trials were conducted on 34 grade XI SMAN 1 Kragilan students with an average response result of 4.46, which indicates a very feasible category. It can be concluded that the developed Artificial Intelligence-based physics learning module is stated to be feasible and effective as an alternative teaching material in physics learning in high school, especially in static fluid material. Abstrak. Penelitian ini bertujuan untuk mengembangkan modul pembelajaran fisika berbasis Artificial Intelligence (AI) pada materi fluida statis untuk memfasilitasi hasil belajar peserta didik kelas XI SMA/MA. Latar belakang dari penelitian ini adalah rendahnya hasil belajar peserta didik yang disebabkan oleh kurangnya minat belajar, keterbatasan media pembelajaran, serta sifat abstrak dari materi fluida statis yang sulit dipahami tanpa bantuan media yang interaktif dan adaptif. Penelitian ini menggunakan metode Research and Development (R&D) dengan model pengembangan 4D yang dimodifikasi menjadi tiga tahap, yaitu define, design, dan develop. Produk yang dikembangkan ...
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