Ph.D. Candidate Morsy and Professor Karypis Win Best Application Paper Award at SDM17
Ph.D. candidate Sara Morsy and Professor George Karypis received the Best Application Paper Award at the 2017 SIAM International Conference on Data Mining (SDM17) for their paper “Cumulative Knowledge-based Regression Models for Next-term Grade Prediction.”
Their work presents a way to better predict grades for courses not yet taken by students by modeling the way the (flexible) academic degree programs are structured. By analyzing historical student-course data and obtaining a large dataset from the College of Science and Engineering, their methods of analysis and prediction performed better than current methods.
Morsy’s research is in the general areas of data mining and machine learning and is primarily focusing on developing new methodologies and algorithms to analyze the large and diverse types of education and learning-related data to improve undergraduate education. Sara’s research has broad and extensive applications and can potentially affect everybody that interfaces with higher-education institutions. For example, it can be used to guide students to select a course of studies that better fits their capabilities, learning styles, and which has a high likelihood for academic success; it can reduce the time to degree, which can will lower the financial burden of higher education; it can enable instructors to customize the learning environment that they provide to meet the needs of their individual students; and it can allow instructors and academic advisors to quickly intervene to identify the reasons for a lack of success.
The SDM conference was held in Houston, Texas and provides a venue for researchers who are addressing data mining problems to present their work in a peer-reviewed forum. It is sponsored by the Society for Industrial and Applied Mathematics (SIAM) whose organizational aim is to ensure the strongest interactions between mathematics and other scientific and technological communities.
Please join CS&E in congratulating Sara Morsy and Professor Karypis on receiving this award.