Planning the Development of a Deep Learning–Based Instructional Design

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.