Deep Learning Approaches to Teaching And Learning: An Integrative Review from the Perspectives of Multiple Learning Theories

Abstract

The deep learning approach in education is a learning strategy oriented toward in-depth conceptual understanding, reflection, and integration of knowledge. This study aims to analyze the deep learning approach from the perspectives of multiple learning theories, namely behaviorism, cognitivism, humanism, and constructivism. The deep learning approach is considered relevant to addressing the challenges of twenty-first-century education because it emphasizes deep conceptual understanding, critical thinking skills, and learners’ active engagement in the learning process. However, the implementation of this approach is often not supported by a strong theoretical understanding. Therefore, this study employs a descriptive qualitative literature review method by analyzing various academic sources to identify the contributions of each learning theory to the deep learning approach. The findings indicate that behaviorism shapes purposeful learning behaviors; cognitivism provides a foundation for information-processing strategies and metacognition; humanism emphasizes the importance of intrinsic motivation, personal values, and individual growth; while constructivism supports active, collaborative, and contextualized learning. The synthesis of these four perspectives establishes a comprehensive conceptual foundation for developing transformative and holistic deep learning instructional designs. This study makes a significant conceptual contribution to the development of learning strategies that integrate behavioral, cognitive, affective, and social dimensions in a balanced manner.