Unveiling the Canvas: A Comprehensive Literature Review on Deep Learning Approaches for Assessing Student Engagement Through Observable Actions and Emotions in Classroom Settings

This research paper presents a meticulous exploration and synthesis of existing literature on the profound topic of “Deep Learning Approaches for Assessing Student Engagement through Observable Actions and Emotions in Classroom Settings.” As education undergoes a transformative shift toward technology-enhanced learning environments, understanding and gauging student engagement becomes paramount. This literature review scrutinizes the landscape of deep learning applications in assessing student engagement, with a specific focus on observable actions and emotions. The review commences by delving into the multifaceted realm of student engagement in education, unraveling its definition, various models, and its pivotal role in shaping learning outcomes. The canvas broadens to encompass the technological landscape in education, providing an overview of educational technology and a critical analysis of existing tools designed for assessing student engagement. As deep learning emerges as a promising avenue in educational research, the literature review thoroughly explores its applications, methodologies, and previous studies related to assessing student engagement. In conclusion, this literature review encapsulates a comprehensive analysis of the current state of research in the intersection of deep learning, observable actions, and emotions for assessing student engagement. The insights derived from this exploration not only provide a foundation for the ongoing Ph.D. thesis but also illuminate pathways for future research endeavors, ensuring a robust and informed progression in the realm of educational technology and student engagement assessment.