3d8d135818d1675848a-1ee5 20240318060442980 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 03 30 2024 12 6 Department of Information Systems, Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia Dr. Mohamed Ben Ammar https://orcid.org/0000-0001-8990-3924 Jihane Ben Slimane Department of Computer Sciences Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia, National Engineering School of Tunis, LR11ES20 Analysis Design and Control of Systems Laboratory, University of Tunis El Manar, Tunis, Tunisia. Taoufik Saidani Department of Computer Sciences Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia. Refka Ghodhbani Department of Computer Sciences Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia This research marks a transformative leap in personalized learning through real-time affective hand gesture recognition in EMASPEL (Emotional Multi-Agents System for Peer-to-peer E-Learning), an educational platform. Our deep learning model, a meticulously crafted ensemble of convolutional and recurrent neural networks, deciphers the unspoken language of emotions embedded within student gestures, accurately capturing both spatial and temporal patterns. This detailed emotional map empowers EMASPEL to tailor its interactions with exquisite precision, addressing frustration, nurturing curiosity, and maximizing student engagement. The impact is profound: students flourish in personalized learning environments, experiencing enhanced outcomes and a newfound connection to their educational journey. Teachers, equipped with real-time emotional insights, provide targeted support and cultivate a more inclusive, responsive classroom. Beyond gestures, we envision a future enriched by multimodal data integration, encompassing facial expressions, voice analysis, and potentially physiological sensors, to paint even richer portraits of student emotions and cognitive states. Continuous refinement through rigorous longitudinal studies will pave the way for deeper understanding and ensure responsible implementation. Ultimately, this research reimagines education as a dynamic ensemble of personalized learning, where technology serves as a bridge between teacher and student, unlocking not just academic success but a lifelong love of knowledge. 03 30 2024 25 34 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true International Journal of Recent Technology and Engineering (IJRTE) I did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. All authors have equal participation in this article. 10.35940/ijrte.F8012.12060324 https://www.ijrte.org/portfolio-item/F801212060324/