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All Journal Cakrawala Pendidikan EDUSAINS Jurnal Pendidikan Biologi Indonesia Jurnal Pendidikan Kimia (JPKim) Bioedukasi: Jurnal Pendidikan Biologi International Journal of Elementary Education IKRA-ITH ABDIMAS Jurnal Pengabdian UNDIKMA Integrated Science Education Journal Proceeding Biology Education Conference Sivitas : Jurnal Pengabdian dan Pemberdayaan Masyarakat JIPI (Jurnal IPA dan Pembelajaran IPA) Jurnal Akademik Pengabdian Masyarakat Jurnal Penelitian Pendidikan Indonesia Berita Biologi
Muzzazinah Muzzazinah
Prodi Pendidikan Biologi FKIP UNS
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A Deep Learning–Based Electronic Module for Global Warming: An Analysis of Validity and Readability to Support Critical Thinking Skills Razak, Ziyana Walidah; Muzzazinah, Muzzazinah; Indrowati, Meti
Integrated Science Education Journal Vol 7 No 1 (2026): January
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i1.2480

Abstract

Purpose of the study: This study aims to analyze the validity and readability of a deep learning–based electronic module (e-module) designed to improve students’ critical thinking skills on global warming material. Methodology: The research employed a Research and Development (R&D) approach using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation stages. The developed e-module integrates deep learning principles—mindful, meaningful, and joyful learning—into a Google Sites platform and is enriched with multimedia elements, including videos, animations, interactive worksheets, Padlet, and a carbon footprint calculator. The validity of the e-module was evaluated by six experts, including media experts, subject matter experts, and linguists, using Aiken’s V formula. Main Findings: The results showed that all validation aspects achieved Aiken’s V values ranging from 0.83 to 1.00, exceeding the minimum validity threshold (V > 0.78), indicating that the e-module is highly valid. Readability testing involved ten junior high school students and two science teachers and was analyzed using percentage-based criteria. The readability scores ranged from 88% to 100%, categorized as excellent across content, format, presentation, and language aspects. These findings indicate that the deep learning–based e-module is not only valid but also highly readable and user-friendly. Novelty/Originality of this study: The developed e-module has strong potential to be implemented as an innovative digital teaching material to support science learning and foster students’ critical thinking skills, particularly in addressing contextual and global environmental issues such as global warming.
Co-Authors Alanindra Saputra Alfi Ramadanu, Pradipta Alif Ahzarel Aulya Anak Agung Gede Sugianthara Anugrah, Ade Nur As’ad Zahlul Al Hakim Baskoro Adi Prayitno Elvin Yusliana Ekawati Feillysita Marsha, Chacha Fitri Fathia, Khoyimah Handayani, Aulia Hanifah, Asma’ Harendra, Astried Pascafitri Idam Ragil Widianto Atmojo Ihsan, Nabila Farrasnisa Isnanik Juni Fitriyah Isnantyo, Fajar Danur Itsnaini, Susana Mega Jumiati Jumiati Kaisya Ladya Amanda Krysty, Merry Kusuma, Aisha Dian M. Sukarno Mahardika, Putri Maria, Joana Meti Indrowati Mien A. Rifai Mohammad Masykuri Muhammad Andinar Hibbannurrohman Muhammad Fatihaturrizqi Murni Ramli Nadya Qonita Syahira NUNIK SRI ARIYANTI Nuraini Dewi, Arifah Nurmiyati Nurmiyati Oktaffi Arinna Manasikana Oktorino Putra Purnama, Daffa Prafitasari, Ferrinda PUGUH KARYANTO Ramadian, Rizqi Karisma Razak, Ziyana Walidah Rini Triastuti, Rini Santi, Delinta Herlia Septi Aprilia, Septi Setyorini, Anik Sri Dwiastuti SRI MULYANI SRI MULYANI Suciati Suciati Sulistyo Saputro Susilowati Susilowati TATIK CHIKMAWATI Yulianto Yulianto Zaki Satrio Vandama