Development of an Interactive Learning Website Using a Deep Learning Approach on Thermodynamics Material

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Rika Siti Syaadah, Maria Paristiowati, Tiwi Nur Astuti, Sarina Hanifah, Diva Salsabila, Ferly Saskia Agustin, Annisa Rahma Alia

2025 Journal of Physics: Conference Series Vol. 3139 Issue 1 Conference paper Cited by 0 SDG 4 Quartile

Abstract

The integration of information technology into education has revolutionized instructional delivery, enabling more interactive, contextualized, and meaningful learning experiences. This study aims to design and develop an interactive web-based learning platform that incorporates a deep learning approach to support the teaching of thermodynamics. The deep learning framework emphasizes fostering deep conceptual understanding, critical thinking, and the application of knowledge to real-world contexts. Employing a Research and Development (R&D) methodology with the ADDIE model, the study proceeded through the stages of analysis, design, development, implementation, and evaluation. Data were collected using validated instruments, including student needs analysis questionnaires, interview guidelines, and user response questionnaires, reviewed by subject matter and media experts. The research was conducted at Public Senior High School 44 Jakarta with 30 senior high school students. Findings demonstrate that the developed interactive website effectively enhances the quality of science learning by integrating deep learning principles. This research contributes to the advancement of technology-enhanced learning media, aligning educational practices with 21st-century demands. © Published under licence by IOP Publishing Ltd.

Affiliations

Chemistry Education Department, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta, Jakarta, 13220, Indonesia

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