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All Journal OMEGA: Jurnal Keilmuan Pendidikan Matematika
Utari Syarifuddin
Universitas Negeri Makassar
Mathematics

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Planning the Development of a Deep Learning–Based Instructional Design Utari Syarifuddin; Usman Mulbar
OMEGA: Jurnal Keilmuan Pendidikan Matematika Vol. 5 No. 2 (2026): OMEGA: Jurnal Keilmuan Pendidikan Matematika
Publisher : Program Studi Pendidikan Matematika, Fakultas Keguruan Dan Ilmu Pendidikan, Universitas Alwashliyah Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/jkpm.v5i2.1274

Abstract

This study aims to design the development of a deep learning–based instructional design as an effort to create a learning process that is more meaningful, reflective, and aligned with the demands of 21st-century education. The background of this study is based on the dominance of memorization-focused learning, which requires an approach that can promote deep and contextual understanding of concepts. This study employs a library research method by reviewing relevant literature related to instructional design and the concept of deep learning. In addition, this study also uses a Research and Development (R&D) approach by integrating the Borg and Gall model simplified into seven stages and the ADDIE model (analysis, design, development, implementation, evaluation) as a framework for developing instructional design. Thus, the planning for the development of a deep learning–based instructional design becomes an important alternative in improving the quality of learning and supporting the transformation of education that is more meaningful and learner-centered.
Co-Authors Usman Mulbar