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

A Multifaceted Machine Learning-Based Approach for Holistic Student Well Being and Academic Success in Sri Lankan Schools

Abstract

This research project aims to advance educational outcomes by integrating three key components: predictive modeling for academic performance, social network analysis, and early detection of mental health issues among students including adverse mental health, among learners. The machine learning approaches of the project will create statistical models to predict performance of students and evaluating them for poor performers. Using graph analytic techniques, it will also investigate influence and coordination in the student social networks to understand the effects of social interactions on attitude and behavior toward academics. Furthermore, the study will employ sophisticated multiple telemetry sentiment and emotion analysis tools to identify symptoms of emerging mental health illnesses among the students studying in grade 6 to 9. The goal of this multifaceted method which involves data acquisition from the academic records, social communication level, and effective expressions is to empower educators along with the mental health professionals with effective tools for intervention. The goal is to have an effective learning environment that corresponds to students’ needs and expectations and in which they can improve their academic achievements as well as their psychological well-being.

Country : Sri Lanka

1 Ariyarathna H.M.M.M2 Nethmi G.W.M3 Adikari A.A.D.N.V4 Samadhi Rathnayake5 Kapila Dissanayaka

  1. B.Sc (Hons) in Information Technology, Specializing In Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. B.Sc (Hons) in Information Technology, Specializing In Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. B.Sc (Hons) in Information Technology, Specializing In Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 8, Issue 12, December 2024 pp. 1-10

doi.org/10.47001/IRJIET/2024.812001

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