Evaluation of Academic Procrastination Tendencies in Sophomore Medical Students

This paper describes the effectiveness of learning analytics on various academic endeavors. Two scenarios are discussed. The first one considers the academic performance while the second one considers diversity-related issues on the studies in order to ensure the evaluation of online classes during COVID-19 pandemic. Though the impact of learning analytics in academic decision making is vast, nevertheless, it can be used to improve learning environment and address key issues as experienced by new entrants in a medical school. The present work details the key academic and non-academic factors and suggests some strategies to minimize the impact of academic procrastination and hence improve the retention rate of sophomore medical students.