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poster

Measuring student success using predictive engine

Published:16 March 2015Publication History

ABSTRACT

A basic challenge in delivering global education is improving student success. Institutions of education are increasingly focused on improving graduation and retention rates of their students. In this poster, we describe Student Success System (S3) that can measure student performance starting from the first weeks of the semester and the adoption process for S3 by University of Wisconsin System (UWS).

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  1. Measuring student success using predictive engine

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    • Published in

      cover image ACM Other conferences
      LAK '15: Proceedings of the Fifth International Conference on Learning Analytics And Knowledge
      March 2015
      448 pages
      ISBN:9781450334174
      DOI:10.1145/2723576

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 March 2015

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      • poster

      Acceptance Rates

      LAK '15 Paper Acceptance Rate20of74submissions,27%Overall Acceptance Rate236of782submissions,30%

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