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Posted by Kelly Tenkely on her blog, Dreams of Education. In this post (n.d.), Tenkeley describes (and seeks funding for) her Learning Genome Project. Based on behind Pandora, this project would apply recommender data to curriculum based (K-12) lessons. The project also seeks deep analysis of the students (learning styles, etc.) and the teachers (called "lead learners"). Any time a lesson is used, both teacher and student are to rate it.

By Marc Parry, Technology column, The Chronicle of Higher Education, July 18 2012. This piece profiles some of the new "Big Data" innovations at Arizona State University, the largest public university in the US. There are systems to track students against the requirements of their majors; recommendations about classes in which they might be successful, etc., all towards the goal of improving retention and graduation rates.

Many provocative ideas in this article, not the least of which is how these applications speak to various "recommender systems," whether telling students what courses to take, professors how to teach, administration how to track, etc.

By Ellen Wagner and Phil Ice in Eduause Review Online, July 18 2012. A look at learning analytics and how they are being utilized in higher education.

On the same theme as the recently bookmarked article in The Chronicle.

With the tagline "search, recommend, collaborate, remix," Folksemantic claims over 110,000 OERs. The product was developed for the Center for Open and Sustainable Learning. At the current time (Sept 2010), they are asking for help evaluating their recommender tool.

By Steve Lohr, July 7, 2009 in Technology section, The New York Times. A contest set up by Netflix offered a $1 million prize for improving its movie recommendation system.

In ScienceDirect - Procedia Computer Science, Volume 1, Issue 2, Pages 2773-2998 (2010)

V3. Online data collection tool developed for purposes of LDSE project. Tool offers existing patterns that can be adopted or adapted as well as the opportunity to create a new pattern. The Learning Outcome for existing patterns are given as are methods and examples/ instances of a pattern.

possible inspiration for Rec Sys.