Learning Management System Software Selection

ID: 49339 Type: Brief Paper: New Development
  1. Malcolm Ferrier, British Columbia Institute of Technology, Canada

Tuesday, June 28 11:35-11:55 AM Location: Grand Ballroom C

Presider: Kurt Ackermann, Hokusei Gakuen University Junior College, Japan

Abstract: This paper outlines an effective methodology for selecting learning management system (LMS) software applications for any size of academic institution. Given the number of options available for LMS applications in the software market, a structured technique for assessing features against the institution’s custom requirements is clearly necessary. A weighted requirements assessment of the features of the software makes sense, but runs into difficulty when attempting to compare cost of ownership between applications. An algorithm is presented in this paper to compare the applications both in features and in total cost of ownership which will result in a single quantitative measure that can be compared across the LMS application options. An implementation of this methodology by the author can be found at http://espanalytics.com.


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