Instructional Science

, Volume 31, Issue 4, pp 299–316

What do you recommend? Implementation and analyses of collaborative information filtering of web resources for education

  • Mimi M. Recker
  • Andrew Walker
  • Kimberly Lawless
Article

DOI: 10.1023/A:1024686010318

Cite this article as:
Recker, M.M., Walker, A. & Lawless, K. Instructional Science (2003) 31: 299. doi:10.1023/A:1024686010318

Abstract

This article examines results from one pilotstudy and two empirical studies of acollaborative filtering (CF) system applied ineducational settings. CF is a populartechnology in electronic commerce, whichleverages the interests of entire communitiesto provide targeted, personalizedrecommendations of interesting products orresources to individuals. In electroniccommerce, entertainment, and related domains,CF has proven an accurate and reliable tool;yet educational applications remain limited.From analyses of data from these three studies,we believe that CF holds promise in educationnot only for the purposes of helping learnersand educators find useful resources forlearning, but as a means of bringing togetherpeople with similar interests and beliefs, andpossibly as an aid to the learning processitself.

collaborative information filteringuser studiesWeb-based learning

Copyright information

© Kluwer Academic Publishers 2003

Authors and Affiliations

  • Mimi M. Recker
    • 1
  • Andrew Walker
    • 2
  • Kimberly Lawless
    • 3
  1. 1.Department of Instructional TechnologyUtah State UniversityLoganUSA
  2. 2.Education and Human ServicesLehigh UniversityBethlehemUSA
  3. 3.College of EducationUniversity of Illinois at ChicagoUSA