Educational Data Mining Life Cycle Model for Student Mental Healthcare and Education in Malaysia and India

摘要

Educational data mining (EDM) is one of the emerging trends in context to process huge amount of educational data. Explicit range of research is carried out over this particular domain using bench marked data mining techniques. EDM has high sophisticated proven solution for large complex problem using data mining techniques and mathematical computing. The main objective is to impart the data mining algorithms in educational context. In this paper, a new model is designed to offer an enhanced model for student education and mental healthcare using data mining techniques. The main part of contribution is towards "imparting technology assisted teaching learning methods, activity and mental health monitoring for student" in real world. The dataset is defined and predicted for higher education at two top university in Malaysia and India. The model is implemented using statistical computing language R with better accuracy than the existing data mining model using Apriori, K-means and Random Forest. The model is compared with author's recent model 'OLS' etc. The proposed life cycle model yields the promising results.