Course Signals at Purdue: Using Learning Analytics to Increase Student Success
Item
Title
Course Signals at Purdue: Using Learning Analytics to Increase Student Success
Abstract/Description
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.
Author/creator
Date
Series
Pages
267–270
Publisher
Association for Computing Machinery
Resource type
Research/Scholarly Media
Resource status/form
Published Text
Scholarship genre
Empirical
Open access/full-text available
Yes
Peer reviewed
No
ISBN
978-1-4503-1111-3
URL
Citation
Arnold, K. E., & Pistilli, M. D. (2012). Course Signals at Purdue: Using Learning Analytics to Increase Student Success. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, 267–270. https://doi.org/10.1145/2330601.2330666
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