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From SIGNALS to success? The effects of an online advising system on course grades

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  • Joyce B. Main
  • Amanda L. Griffith

Abstract

Online advising tools have the potential to reach a large number of students with the goal of increasing course performance and learning with relatively modest time investment from the instructor. Course SIGNALS provides students with online, real-time feedback on course performance based on an algorithm using the student’s effort, achievement, academic history, and demographic characteristics. Using roughly 25,000 student-course level observations from a large, research-intensive university in the Midwest, results from fixed effects difference-in-differences models indicate that SIGNALS helps improves grades of lower-achieving students and decreases the probability that students will fail the course.

Suggested Citation

  • Joyce B. Main & Amanda L. Griffith, 2019. "From SIGNALS to success? The effects of an online advising system on course grades," Education Economics, Taylor & Francis Journals, vol. 27(6), pages 608-623, November.
  • Handle: RePEc:taf:edecon:v:27:y:2019:i:6:p:608-623
    DOI: 10.1080/09645292.2019.1674248
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    Cited by:

    1. Jason Ward & Ben Ost, 2021. "The Effect of Large-scale Performance-Based Funding in Higher Education," Education Finance and Policy, MIT Press, vol. 16(1), pages 92-124, Winter.

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