Criteria for developing smart Learning Environment according to the theory of emotion-based learning

Author

Department of Educational Technology - Faculty of Specific Education - Minia University

10.21608/jedu.2025.394726.2261

Abstract

Abstract:

Smart learning environments are revolutionizing the field of education, seeking to provide a personalized and effective learning experience for each learner. As our understanding of the role of emotions in the learning process has evolved, the theory of affective computing in learning has emerged as a fundamental pillar for designing these environments. Affective computing in learning (ACL) is an emerging field that focuses on the role of emotions in the learning process. This theory is based on the idea that emotions are not simply negative or positive reactions, but are an integral part of human cognition, significantly impacting attention, memory, motivation, and problem-solving. Designing a smart learning environment that responds to learners' emotions requires setting clear standards to ensure its effectiveness and quality. These standards go beyond technical aspects to encompass psychological and pedagogical aspects. The goal is to build a system capable of (detecting and understanding emotions, adapting and responding emotionally, and enhancing emotional support). These standards contribute to creating a learning environment that not only delivers knowledge but also considers the human side of the learner, leading to a more engaging, effective, and enjoyable learning experience.

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