Question Answering System to Support University Students’ Orientation, Recruitment and Retention

Educational institutions are creating more and more programs and developing new techniques to identify and select the right students. Many universities started to develop their own ontologies to get an understanding of their students by analyzing their data. In this paper, an information extraction framework is proposed as a part of the research project “LET’SeGA” to support educational institutions in selecting students for different programs. This would also help target specific student segments in marketing decisions for academic programs. In the proposed framework, an ontological model is created for universities’ data which is used to support students’ recruitment and retention ensuring students’ success after admission. Future work will focus on testing the framework over a time period to verify that it supports the recruitment of appropriate student profiles.