Published Paper Details:

Data Science has also changed the way in which students interact with teachers and evaluate their performance. Instructors can use data science to analyze the feedback received from the students and use it to improve their teaching.[1] Data Science can be used to create predictive modeling that can predict the drop-out rate of students based on their performance and inform the instructors to take necessary precautions. IBM analytics has created a project for schools to evaluate student�s performance based on their performance. Universities are using data to avoid retention supplement the performance of their students. For example, the University of Florida makes use of IBM Cognos Analytics to keep track of student performance and make necessary predictions. Also, MOOCs and online education platforms are using data science to keep track of the students, to automate the assignment evaluation and to better the course based on student feedback.