Collaboratively Filtering Learning Objects

Authors

Mimi Recker, Utah State UniversityFollow
Andrew Walker, Utah State UniversityFollow
David A. Wiley, Brigham Young University - Utah

Document Type

Contribution to Book

Journal/Book Title/Conference

Designing Instruction with Learning Objects

Editor

D. Wiley

Publisher

AECT

Publication Date

2001

First Page

243

Last Page

259

Abstract

This chapter describes and discusses the application of collaborative filtering techniques to the design of metadata structures for learning objects, and its implications for instruction. This approach enables context-sensitive discovery and recommendation of learning objects. The discussion is based upon research in developing and evaluating a collaborative filtering system, which enables users to share ratings, opinions, and recommendations about resources on the Web. An additional benefit of this approach is that it also allows a user to locate other users that share similar interests for further communication and collaboration.

Comments

Originally published by the Association for Educational Communications and Technology (AECT). Submitted version of chapter available through remote link.

Recommended Citation

Recker, M., Walker, A., & Wiley, D. (2001). Collaboratively filtering learning objects. In D. Wiley (Ed.), Designing Instruction with Learning Objects (pp. 243-259). Bloomington, IN: AECT.