You are here:

Supporting student success through predictive analytics: Preparing to intervene
PROCEEDING

, , Boise State University, United States

Society for Information Technology & Teacher Education International Conference, in Online ISBN 978-1-939797-48-3 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA

Abstract

Researchers will present findings from a series of three data mining studies designed to test the accuracy and power of differing Educational Data Mining, Machine, and Deep Learning methods. The design of an intervention study in the spring of 2020 will also be discussed along with any preliminary findings.

Citation

Rice, K. & Hung, A. (2020). Supporting student success through predictive analytics: Preparing to intervene. In D. Schmidt-Crawford (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 709-713). Online: Association for the Advancement of Computing in Education (AACE). Retrieved April 17, 2021 from .

Slides