From Pixels to Perception: Next-Gen Learner Interaction through a Real-time Engagement Detector

مؤسسة الشرق الأوسط للنشر العلمي

عادةً ما يتم الرد في غضون خمس دقائق

الإصدار الثالث عشر: 30 يوليو 2024
من المجلة السعودية للدراسات التربوية والنفسية

From Pixels to Perception: Next-Gen Learner Interaction through a Real-time Engagement Detector

Salwa Mrayhi Mohamed Koutheair Khribi & Mohamed Jemni
Abstract

In the sphere of e-learning, particularly in massive open online courses (MOOCs), accurate, real-time evaluation of learner engagement is increasingly crucial for ensuring the efficacy of education and promoting an inclusive learning environment. Existing techniques for measuring engagement often suffer from subjectivity, inefficiency, and a notable absence of prompt feedback. The system developed has the capability to detect and analyze learner emotions in real time and hence compute the level of engagement throughout the online learning experience in a MOOC environment, providing immediate insights for educators accordingly into learner responses toward MOOC materials. This approach is designed to identify the areas that require enhancement and facilitate the development of personalized and engaging learning experiences for all people, particularly those with disabilities. Furthermore, this research contributes to the advancement of affective computing in education by examining the benefits and challenges of monitoring emotions and engagement in real time. This endeavor comprises a collaborative, interdisciplinary approach, leveraging knowledge from computer science, psychology, education, and other related fields to enhance the quality of education and enrich learners' learning experiences.

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