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A Learning Management System-Based Early Warning System for Academic Advising in Undergraduate Engineering

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Learning Analytics

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.

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Author information

Authors and Affiliations

  1. Center for Technology in Learning, SRI International, Menlo Park, CA, USA

    Andrew E. Krumm

  2. Institute for Educational Initiatives, University of Notre Dame, Notre Dame, IN, USA

    R. Joseph Waddington

  3. School of Information, University of Michigan, Ann Arbor, MI, USA

    Stephanie D. Teasley

  4. USE Lab, University of Michigan, Ann Arbor, MI, USA

    Stephanie D. Teasley & Steven Lonn

Authors
  1. Andrew E. Krumm
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  2. R. Joseph Waddington
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  3. Stephanie D. Teasley
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  4. Steven Lonn
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Corresponding author

Correspondence to Andrew E. Krumm .

Editor information

Editors and Affiliations

  1. Center for Digital Data, Analytics and Adaptive Learning at Pearson, Boston, Massachusetts, USA

    Johann Ari Larusson

  2. Dept. of English, University of California Berkeley, Berkeley, California, USA

    Brandon White

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Krumm, A.E., Waddington, R.J., Teasley, S.D., Lonn, S. (2014). A Learning Management System-Based Early Warning System for Academic Advising in Undergraduate Engineering. In: Larusson, J., White, B. (eds) Learning Analytics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3305-7_6

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