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.
|Title of host publication||Learning Analytics|
|Subtitle of host publication||From Research to Practice|
|Number of pages||17|
|State||Published - Jan 1 2014|
Bibliographical notePublisher Copyright:
© Springer Science+Business Media New York 2014.
ASJC Scopus subject areas
- Social Sciences (all)