ANALYSING QUANTITATIVE MODELS ABOUT FACTORS OF ACTIVITIES OF DAILY LIVING IMPACTING ON THE STUDENT ASSESSMENT RESULT IN THAI NGUYEN UNIVERSITY OF TECHNOLOGY

Abstract

In the paper, we aim to present the construction of regression models based on the data collected on the underline factors of activities of daily living directily effecting to the student’s assessment result of students in Thai Nguyen University in the recent years. Basing on this data, some approaches are proposed to construct useful quantitative models of important factors to the response, the student’s assessment result, by using various techniques of statistics and machine learning including the multiple linear regression, Anova, k-folds. The analysis of these models shows how good they are and provide us some important and helpful conclusions relating the concerned problem. Through this, we expect to approve the result of the paper for referencing to the construction of the training and studying plan of the education managers as well as the learners in order to have a better quality training and studying.