OWL: A recommender system for organization-wide learning

Educational Technology and Society

Volumn 3, Issue 1, 2000, Pages 62-76

  Linton, Frank ^a   Joy, Deborah ^a   Schaefer, Hans Peter ^a   Charron, Andrew ^a  

^a MITRE CORPORATION   (United States)

Author keywords

Agent; Individualized instruction; Instrumentation; Logging; Organization wide learning; OWL; Recommender system

Indexed keywords

EID: 0012439353     PISSN: 14364522     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. Anderson, J., Corbett, A., Fincham, J., Hoffman, D., & Pelletire, R. (1992). General Principles for an Intelligent Tutoring Architecture. In J. Regian and V. Shute (Eds.) Cognitive Approaches to Automated Instruction, Mawah NJ: Erlbaum, 81-106.
2. Cheikes, B., Geier, M., Hyland, R., Linton, F., Rodi, L., & Schaefer, H. (1998) Embedded Training for Complex Information Systems. In B. P. Goettl, H. M. Halff, C. L. Redfield, & V. J. Shute (Eds.) Intelligent Tutoring Systems 4th International Conference Proceedings, Heidelberg: Springer-Verlag, 36-45.
3. Eales, J. & Welch, J. (1995). Design for collaborative learnability. In J. Schnase & E. Cunnius (Eds.) Proceedings of CSCL '95: The First International Conference on Computer Support for Collaborative Learning, Mawah NJ: Erlbaum, 99-106.
4. Gladwell, M. (1999). The Science of the Sleeper: How the Information Age could blow away the blockbuster. The New Yorker, October 4, 1999, 48 - 55.
5. Horvitz, E. (1997). Invited Talk. Presented at the 1997 User Modeling Conference, June 2-5, Sardinia, Italy.
6. Howell. D. (1982). Statistical methods for psychology, Boston: Duxbury Press.
7. Kay, J. & Thomas, R. (1995). Studying long-term system use; computers, end-user training and learning. Communications of the ACM, 38 (7), 61-69.
8. Koedinger, K. & Anderson, J. (1993). Reifying implicit planning in geometry: Guidelines for model-based intelligent tutoring system design. In S. LaJoie & S. Derry (Eds.) Computers as Cognitive Tools, Hillsdale NJ: Erlbaum, 15-46.
9. Landauer, T. (1996).The Trouble With Computers: Usefulness, Usability, and Productivity, Cambridge MA: MIT Press.
10. Lave, J. & Wenger, E. (1991). Situated learning: Legitimate peripheral participation, Cambridge: Cambridge University Press.
11. Lesgold, A., Eggan, G., Katz. S. & Rao, G. (1992). Possibilities for Assessment Using Computer-Based Apprenticeship Environments. In J. Regian and V. Shute (Eds.) Cognitive Approaches to Automated Instruction, Mawah NJ: Erlbaum, 49-80.
12. Linton, F. (1990). A coach for application software. CBT Directions, March, 22-29.
13. Linton, F. (1996). Promoting the Organization-Wide Learning of Application Software. ACM SIGOIS Bulletin, 17 (3), 70-72.
14. Linton, F., Joy, D. & Charron, A. (1999). OWL: A Recommender System for Organization-Wide Learning. MITRE Technical Report MTR 98B0000025V00S00R00, USA: MITRE.
15. McCalla, G., Greer, J., Kumar, V., Meagher, P., Collins, J., Tkatch, R. & Parkinson, B. (1997). A peer help system for workplace training. In B. du Boulay and R. Mizoguchi (Eds.) Artificial Intelligence in Education: Knowledge and Media in Learning Systems, Proceedings of AI-ED 97, Amsterdam: IOS Press, 183 - 190.
16. Patton, M. (1990). Qualitative evaluation and research methods, 2nd ed., London: Sage.
17. Resnick, P. & Varian, H. (1997). Introduction to Special Section on Recommender Systems. Communications of the ACM, 40 (3), 56-58.
18. Senge, P. (1990). The fifth discipline: The art & practice of the learning organization, New York: Currency Doubleday.
19. Thomas, R. (1996). Long term exploration and use of a text editor. Unpublished doctoral dissertation, Nedlands, Australia: University of Western Australia.
20. Thomas, R. (1998). Long Term Human-Computer Interaction : An Exploratory Perspective, Springer Verlag: New York.
21. Triola, M. (1983). Elementary Statistics, 2nd ed., Menlo Park CA: Benjamin/Cummings.