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OER Recommender and OER Glue
Joel Duffin & Justin BallTatemae
OutlineBackground and Research Goals System Description Evaluation Issues What's next?
BackgroundCenter for Open Sustainable Learning (COSL)
Utah State University, David Wiley
eduCommons - OpenCourseWare CMS
OCW Finder - http://ocwfinder.orgSimple, popular search engine for OpenCourseWare
Folksemantic - MOCSL User centered tools for open education - Ozmozr, Make a Path,
Send2Wiki, Annorate, Scrumdidilyumptious
How do we get people to USE
OER effectively?
"most of the OER you see at conferences encourages bad
learning design"
http://tinyurl.com/34qsux6
ReferencesShelton, B. E., Duffin, J., Wang, Y., & Ball, J. (2010). Linking OpenCourseWares and open education resources: Creating an effective search and recommendation system. 1st Workshop on Recommender systems for Technology Enhanced Learning (RecSysTEL 2010). Procedia Computer Science 1, 2865-2870. doi:10.1016/j.procs.2010.08.012 Maull, K. Sumner, T., Recker, M., Shelton, B. E., Duffin, J. (2009). Recommender Systems, Contextualization and Personalization in NSDL: Current and Future Research Directions. Panel presentation at the National Digital Libraries Conference, Washington D.C. Caswell, T., Henson, S., Jensen, M., & Wiley, D. (2008). Open content and open educational resources: Enabling universal education. International Review of Research in Open and Distance Learning, 9(1). http://www.irrodl.org/index.php/irrodl/article/view/469/1001 Duffin, J. & Muramatsu, B. (2008). OER Recommender: Linking NSDL Pathways and OpenCourseWare Repositories. 2008 Joint Conference on Digital Libraries, Pittsburgh, PA. 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. Henson, S., Ball, J., Wiley, D. and Muramatsu, B. (September 2007). Tag, Annotate, Rate and Share: Activities of Daily Living on the Web. European Conference on Technology Enhanced Learning 2007, Crete, Greece Henson, S., Muramatsu, B. and Caswell, T. (2007). Web 2.0 for Teaching and Learning…Folksemantic Tool Set. New Media Consortium Summer Conference, Indianapolis, IN.
Research GoalsIncrease effective use of OERs by cross linking
OpenCourseWares and NSDL OERs
• Widgets and APIs for OER providers• OER recommendation algorithms and architectures
• Recommendation display• Adoption
Related Resources Cross Repository Links
Related Resources Widget
Evaluation
QuestionsHow is OER Recommender being used?
How well is it accomplishing goals? How can it be improved?
MethodsAnalytics
User tests and questionnaires
Strengths
It is being used eduCommons and OpenLearn are primary adopters Recommendations attract interest (11% click through rate)
Areas for improvement: Algorithms (ranking & learning)
Display Ease of adoption
Coverage (more resources)
Conclusions
Issues• Learning from user implicit
and explicit feedback • Presentation bias• Narrowing scope of search
and recs• Dead links• Catalog pages• Duplicate entries• Incremental update • Coverage • Score cutoff level
• Confidence vs reliability • OER rank
(getting beyond text analysis)• Faceted search• Metadata vs content• Personal recommendations• Scaling up processing (hadoop,
mahout, cascading, bixo)• Activity specific recs • More & better widgets
Evaluation CriteriaRelated Novel Diverse Popular
Changed / updated
Task-appropriate Learner
o Do well in classo Explore interests
Teachero Use resourceo Remix (use part of a
resource)
Try It!Add Cross-Site Recommendationsto Your SiteExamplehttp://ocw.usu.edu/English/english-1010
Instructionshttp://www.folksemantic.com/widgets
Add Your Resources to the Index
Related Work
Globe - http://globe-info.org/
OER Commons - http://oercommons.org/
Ariadne Finder - http://ariadne.cti.espol.edu.ec/
Xpert - http://www.nottingham.ac.uk/xpert/
Supports effective teaching and learning by "glueing" together
open content and services
Embracing openIntegrates with everyone
Easily extensible
Modifies pages in place, using content where it exists instead of copying into an LMS
Provides functionality through integrations
Recommends OERs to authors
Allows extension via JavaScript
We are looking for partners - [email protected]
Help Evaluate OER Recommender!
Online questionnaire (15 min)
Teachers
OER providers
http://oerrecommender.org