Improving Student Success Analytics with Multiple Data Sources

Thursday, February 21 | 9:30AM–10:15AM PT | Pacific Ballroom C, Second Floor
Session Type: Featured Session
Delivery Format: Interactive Presentation
Increasingly, institutions are building learner record stores to more fully describe student interaction with educational technologies. However, little research has assessed how much these increases in data actually move the needle in predicting student achievement. To find out, Blackboard, VitalSource, and UMBC partnered on a research project to explore both vendors' Caliper and LTI-enabled tools to mine UMBC students' use of an LMS and e-textbooks. Among other things, we found the combined model was very accurate in predicting C or better final grades by week 4 of the semester. We will also discuss how these findings support other ongoing research.

Outcomes: Understand why and how infrastructure standards promote interoperability * Understand why and how interoperability expands existing analytics research * Compare one institution's analytics results to your own or extrapolate how you could


  • John Fritz

    Assoc. VP, Instructional Technology, University of Maryland, Baltimore County
  • Daniel Green

    Director, Product Analytics, VitalSource
  • John Whitmer

    Senior Fellow, Federation of American Scientists

Resources & Downloads

  • Presentation Slides

    Updated on 11/26/2019