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All Journal Jurnal Pendidikan Indonesia Jurnal Penelitian Pendidikan IPA (JPPIPA) BIOEDUKASI Bio Educatio : The Journal of Science and Biology Education Jurnal Mangifera Edu Gema Wiralodra Abdi Wiralodra : Jurnal Pengabdian Kepada Masyarakat Jurnal Eduscience (JES) Jurnal Pengabdian Masyarakat (ABDIRA) JSEP (Journal of Science Education and Practice) JIPI (Jurnal IPA dan Pembelajaran IPA) Technological Pedagogical Content Knowledge The International Journal of Mathematics and Sciences Education Jurnal Pendidikan MIPA
Natadiwijaya, Ismail Fikri
Universitas Negeri Yogyakarta, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Physics Public Health Social Sciences Other

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Journal : Jurnal Pengabdian Masyarakat (ABDIRA)

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Optimalisasi Kompetensi Guru dalam Pengimplementasian Pendekatan Deep Learning Berbasis Cognitive Load Theory (CLT) dalam Implementasi Kurikulum Merdeka Arti, Yuli; Natadiwijaya, Ismail Fikri; Anjarsari, Putri; Prasetyo, Zuhdan Kun
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 5, No 4 (2025): Abdira
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v5i4.1069

Abstract

Research on science learning using the Cognitive Load Theory (CLT) approach has shown positive impacts on students, particularly in reducing cognitive load and improving learning outcomes. Toward the end of 2024, deep learning emerged as a central issue in education, proposed as a strategy to enhance the quality of education in Indonesia. Therefore, the development of deep learning instructional materials needs to consider students’ cognitive load. Previous studies confirmed that CLT-based approaches are effective; however, preliminary survey results through teacher interviews revealed that many teachers still lack an understanding of CLT, including how to design and implement CLT-based instruction. Furthermore, science teaching modules that integrate deep learning remain limited, and examples provided in the Merdeka Mengajar Platform (PMM) are still scarce. Considering the importance of CLT in science learning and the limited teacher knowledge, training is essential to optimize teachers’ competence in developing deep learning approaches grounded in CLT. This activity proved effective in enhancing teachers’ implementation skills.
Co-Authors Al Jalali Muhammad Amalia Haq Ana Rato, Antonius Umbu Anggraeni, Ratih Vicha Anggraita Febriana Putri Anilia Ratnasari Anilia Ratnasari, Anilia Arti, Yuli Buhera*, Rusdiman Didik Setyawarno Dwi Fauzi Rachman Eka Dahliani Fardhani, Indra Herdiawan, Akmal Arif Herlina Herlina Insih Wilujeng Intan Lestari Ipin Aripin, Ipin Jumadi Kurniawan, Gita Erlangga Laifa Rahmawati Laifa Rahmawati, Laifa Laila Munazad Lesy Luzyawati Lesy Luzyawati, Lesy Lilit Rusyati Lissa, Lissa Maryati Muhammad Ikhsan Nur Zamzam Yuniar Faisal Nuryani Rustaman Putri Anjarsari Rachman, Dwi Fauzi Ria Rochmi Safitri Sabar Nurohman Sabar Nurohman Saputra, Winata Tegar Subkhi, Nur Sugianto Sugianto Sugianto Sugianto Sugianto Suryanti Topik Hidayat Yuliana, Eva Zuhdan Kun Prasetyo