Data Science in Education

Data science is a rapidly growing field that has gained immense popularity in recent years. The field of education is also benefiting from data science, as it provides a means to analyse large amounts of data and extract insights that can be used to improve teaching and learning outcomes. The manner that students engage with professors and are evaluated for their performance has also altered as a result of data science. Instructors can utilise data science to analyse student feedback and use it to enhance their instruction.[1] Data science can be used to develop prediction models that, depending on student performance, can forecast the drop-out rate of students and alert teachers to take the required safeguards. For schools, IBM analytics has developed a project to assess student success based on performance. Universities use data to improve student performance and reduce retention. For instance, the University of Florida uses IBM Cognos Analytics to monitor student progress and make the appropriate projections. Additionally, MOOCs and online learning platforms use This paper examines the increasing demand for data science in education and its potential to transform the field.