OWL: A Recommender System for Organization-Wide Learning

Wedescribe the use of a recommendersystem to enable continuousknowledgeacquisition and individualized tutoring of application software across an organization. Installing such systemswill result in the capture of evolving expertise and in organization-widelearning (OWL).Wepresent the results of a year-long naturalistic inquiry into application's usagepatterns, basedon loggingusers' actions. Weanalyzethe data to developuser models,individualized expert models,confidenceintervals, and instructional indicators. Weshowhowthis information could be used to tutor users.

• Type: Journal
• Year: 2000
• Where: ETS
• Authors: Frank Linton, Deborah Joy, Hans-Peter Schaefer, Andrew Charron
• Keywords: Application Software, ETS 2000, Hardware, Instructional Indicators, Year-long Naturalistic Inquiry