Linking OpenCourseWares and Open Education Resources: Creating an Effective Search and Recommendation System

Authors: Brett E. Shelton, Joel Duffin, Yuxuan Wang, Justin Ball

Abstract:

With a growing number of digital libraries and other open education repositories being made available throughout the world, effective search and retrieval tools are necessary to access the desired materials that surpass the effectiveness of traditional, allinclusive search engines. This paper discusses the design and use of Folksemantic, a platform that integrates OpenCourseWare search, Open Educational Resource recommendations, and social network functionality into a single open source project. The paper describes how the system was originally envisioned, its goals for users, and data that provides insight into how it is actually being used. Data sources include website click-through data, query logs, web server log files and user account data. Based on a descriptive analysis of its current use, modifications to the platform's design are recommended to better address goals of the system, along with recommendations for additional phases of research.

Keywords: Digital libraries, open education, recommendation system, social networks

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1085629

References:

[1] Brusilovsky, P., Kobsa, A., & Nejdl, W, (Eds.). (2007). The adaptive web methods and strategies of web personalization. Berlin: Springer.
[2] Chu, W., & Park, S. T. (2009). Personalized recommendation on dynamic content using predictive bilinear models. In Proceedings of the 18th international World Wide Web Conference.
[3] Johnson-Henson, S. (2008). The folksemantic web: Tools for a humancentered approach to learning. International Conference of the Learning Sciences (ICLS) 2008, Utrecht, Netherlands.
[4] Seow, P. (2008). Towards a framework for seamless learning environments. In Proceedings of the International Conference of the Learning Sciences (ICLS) 2008. Utrecht, Netherlands.
[5] Cape Town Open Education Declaration (2008) Read the declaration ÔÇö Retrieved November 13, 2008, from www.capetowndeclaration.org/read-the-declaration
[6] Duffin, J. & Muramatsu, B. (2008). OER Recommender: Linking NSDL Pathways and OpenCourseWare Repositories. 2008 Joint Conference on Digital Libraries, Pittsburgh, PA.
[7] Tom Caswell, Shelley Henson, Marion Jensen, & David Wiley (February - 2008). Open Educational Resources: Enabling universal education. Retrieved March 8, 2010 from http://www.irrodl.org/index.php/irrodl/article/view/469/1001
[8] Zia, Lee L. "The NSF National Science, Mathematics, Engineering, and Technology Education Digital Library (NSDL) Program: A Progress Report." D-Lib Magazine, October 2000. Available at http://www.dlib.org/dlib/october00/zia/10zia.html
[9] Muramatsu, B., Ball, J., Duffin, J., Wiley, D., Gray, J., Godwin, A., Reedstrom, R., Cooper, C. & Whipkey, C. (June, 2008). Open Educational Resources Interoperability Sprint Outcomes: Linking OER Providers. Paper presented at OpeniWorld: Europe 2008, Lyon, France.
[10] Wiley, D. (2005, July 13). OCW Finder. iterating towards openness. Blog. Retrieved March 31, 2010 from http://opencontent.org/blog/archives/175
[11] Duffin, J., Muramatsu, B. & Henson Johnson, S. L. (2007). OER Recommender: A recommendation system for open educational resources and the National Science Digital Library. White paper funded by the Andrew W. Mellon Foundation for the Folksemantic.org project. (Updated March 7, 2008).
[12] Boodman, A., Greasemonkey (2007). https://addons.mozilla.org/en- US/firefox/addon/748
[13] Mobasher, B., & Anand, S. S., (2005). Intelligent techniques for web personalization. In Intelligent Techniques for Web Personalization. Bamshad Mobasher and Sarabjot Singh Anand (Eds.), Lecture Notes in Artificial Intelligence (3169) , (pp. 1-37). Springer.
[14] Belkin, N. J. (2000). Helping people find what they don-t know. Communications of the ACM, 43(8), 58-61.
[15] Montaner, M., L├│pez, B., & De la Rosa, J. L. (2003). A taxonomy of recommender agents on the Internet. Artificial Intelligence Review. 19(4), 285-330.
[16] Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., & Riedl, J. (1994). GroupLens: An open architecture for collaborative filtering of NetNews. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW). ACM Press, New York, 175-186.
[17] Zhou, T., Ren, J., Medo, M., & Zhang, Y. C. (2007). Bipartite network projection and personal recommendation. Physics Review E., 76.
[18] Brin, S. & Page, L. (1998). The Anatomy of a Large-Scale Hypertextual Web Search Engine. Proceedings of the 7th international conference on World Wide Web (WWW). Brisbane, Australia. pp. 107-117. http://dbpubs.stanford.edu:8090/pub/1998-8.