The impact of COVID-19 has been vast and enormous on every sector globally. But a tremendous change in the plan of action has been seen in the healthcare facilities and Education Sector. With the drastic shift from full-time offline modes of teaching to an online or hybrid model of teaching and learning, learning analytics has gained momentum. Learning Analytics can be broadly defined as a field focused on analyzing educational data to understand and improve learning processes. Precision in the education sector and its effectiveness in the learning process have been the areas of major academic investigations in the last decade of scholarly research work. This research study explores the available literature to make an empirical understanding of the development in this field of study. The primary objective is to explore the various constructs that lead to precise learning analytics, leading to the precision in higher education of the country. In alignment with the significant change in the functioning of the higher education institutions due to COVID-19, the study also focuses on the impact of COVID-19 in the development of learning analytics to promote a judicious learning environment for individuals and institutions. The study incorporates qualitative descriptive methodology for the analysis of the research objectives. The findings from this study corroborate the existing literature on learning analytics. It also aims to add a further scope of work in the same field. The study also outlines the significant drawback in promoting sustainable and precise learning in higher education. © 2021 IEEE.
The Role of Learning Analytics in Higher Education: A Strategy towards Sustainability