Abstract
This tutorial will provide a formal definition of higher educational mining, discuss different opportunities for inter-disciplinary research in this field. Challenges as they relate to data acquisition and ethics will be discussed in detail followed with current practices surrounding the development of degree planning tools, course analytics to assist students and teachers. Other topics include: case studies of applications related to analytics in higher education, specific applications: degree planners, early warning systems, advisor systems, and methods related to developing grade predictors using recommender systems and regression approaches.

Presenters
Huzefa Rangwala, Agoritsa Polyzou and Qian Hu