Predicting and Improving Academic Success and Student Retention: An Action Research

Shu Schiller

Research output: Contribution to journalArticlepeer-review

Abstract

This participatory action research aims to demonstrate how information systems scholars, practitioners, and administrators of higher education collaborate to develop, implement, and evaluate effective predictive models and in turn create and adopt policies and procedures that improve student academic success and retention in a business college. This research takes a novel perspective by focusing on predicting student success and retention, informed by activity theory as the fundamental theoretical framework to understand the interactions among various stakeholders in the communities.

Original languageAmerican English
JournalDefault journal
StatePublished - Dec 11 2016

Keywords

  • activity theory
  • participatory action research
  • predictive model
  • retention

Disciplines

  • Business Intelligence
  • Management Information Systems
  • Business
  • Higher Education
  • Operations and Supply Chain Management
  • Scholarship of Teaching and Learning

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