Computational Study to Determine the Influence of Research on Enhancing API

Faculty members at universities and institutes utilize the Academic Performance Indicator (API) of the University Grants Commission (UGC) to determine how to enhance their careers while remaining employed. Three main factors make up the API score: a) study actions connected to teaching, learning, and assessing; b) activities related to professional development, both within and outside the institute; and c) research and academic output. To determine each category's API score, we consider its unique collection of attributes and related data. In each faculty hierarchy, a faculty member's aggregate API score decides whether or not they advance from a lower level to a higher one. Researchers in this study analyzes the connections between API and the three types of data they find. Thirty samples were obtained from various sites to explore this through OLS regression analysis. Researchers observed a clear correlation between r values of 0.7338 and the first category. Further, r = 0.4231 suggests a moderate direct connection between the elements in category 2. The category three correlation value is 0.3756, indicating a weak direct link. The study found that faculty members in the education sector who seek to enhance their API scores must associate more with research-related activities.