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Course signals at Purdue: using learning analytics to increase student success

Published:29 April 2012Publication History

ABSTRACT

In this paper, an early intervention solution for collegiate faculty called Course Signals is discussed. Course Signals was developed to allow instructors the opportunity to employ the power of learner analytics to provide real-time feedback to a student. Course Signals relies not only on grades to predict students' performance, but also demographic characteristics, past academic history, and students' effort as measured by interaction with Blackboard Vista, Purdue's learning management system. The outcome is delivered to the students via a personalized email from the faculty member to each student, as well as a specific color on a stoplight -- traffic signal -- to indicate how each student is doing. The system itself is explained in detail, along with retention and performance outcomes realized since its implementation. In addition, faculty and student perceptions will be shared.

References

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  1. Course signals at Purdue: using learning analytics to increase student success

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      cover image ACM Conferences
      LAK '12: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
      April 2012
      282 pages
      ISBN:9781450311113
      DOI:10.1145/2330601

      Copyright © 2012 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 29 April 2012

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