Enhancing Employability by Design: Optimizing Retention and Achievement in Indian Higher Education Institution

Abstract

This research examines the intricate dynamics of Learning Analytics within Indian Higher Education Institutions, with a specific focus on the interplay among employee retention, academic performance, and employability. The study utilised a mixed methods convergent parallel design to conduct interviews with a wide range of academic participants from both public and private Higher Education Institutions (HEIs) in India. An analysis was conducted on 537 valid questionnaires in order to determine the correlations between these primary factors. In order to validate the measurement model, exploratory and confirmatory factor analyses were conducted. Structural Equation Modelling (SEM) was utilised to provide explanations for the direct and mediated routes. The data presented significant and positive relationships, indicating that retention has a substantial impact on both attainment and employability, that attainment positively influences both retention and employability, and that attainment partially mediates the relationship between retention and employability. These studies provide nuanced observations regarding the factors influencing Learning Analytics in the higher education sector of India. As a result, academic institutions seeking to improve student performance and employability can draw practical conclusions from them. However, generalizability, instrument reliability, and the cross-sectional design of the study are acknowledged as limitations; therefore, longitudinal research is encouraged for a more comprehensive understanding.