A learning management system-based early warning system for academic advising in undergraduate engineering

Andrew E. Krumm, R. Joseph Waddington, Stephanie D. Teasley, Steven Lonn

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

92 Scopus citations

Abstract

This chapter describes a design-based research project that developed an early warning system for an undergraduate engineering mentoring program. Using near real-time data from a university’s learning management system, we provided academic advisors with timely and targeted data on students’ academic progress. We discuss the development of the early warning system and detail how academic advisors used it. Our findings point to the value of providing academic advisors with performance data that can be used to direct students to appropriate sources of support.

Original languageEnglish
Title of host publicationLearning Analytics
Subtitle of host publicationFrom Research to Practice
Pages103-119
Number of pages17
ISBN (Electronic)9781461433057
DOIs
StatePublished - Jan 1 2014

Bibliographical note

Publisher Copyright:
© Springer Science+Business Media New York 2014.

ASJC Scopus subject areas

  • General Social Sciences

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