International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Empowering Virtual Education and Lecturing through AI and ML Advancements

Abstract

The fast rise of online learning, intensified by the COVID-19 issue, highlighted operational challenges such as manual grading, student apathy, and irregularities in attendance. This study presents an enhanced e-learning system with four major innovative components: facial recognition based attendance combined with interaction heat maps; machine learning-driven evaluation of subjective replies; Enhanced lecturing by using automated whiteboard drawing; and student engagement analysis using facial and postural measurements. Our solution merges cutting-edge machine learning and computer vision to reduce instructors' manual labour, increase student interaction, and improve the learning experience. According to our findings, these changes provide a comprehensive and engaging online educational environment. Future developments will concentrate on iterative feedback, the exploration of various machine learning frameworks, the expansion of visual tool capabilities, and the development of biometric attendance systems.

Country : Sri Lanka

1 Theebanraj U.2 Kanishkar R.3 Gunathilake C.D4 Hennayake H.M.G.J5 Ms. Supipi Karunathilaka

  1. Faculty of Computing, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Colombo, Sri Lanka
  2. Faculty of Computing, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Colombo, Sri Lanka
  3. Faculty of Computing, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Colombo, Sri Lanka
  4. Faculty of Computing, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Colombo, Sri Lanka
  5. Faculty of Computing, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Colombo, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 57-65

doi.org/10.47001/IRJIET/2023.710008

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