Open Social Learning Communities

author: Ashwin Ram, Cognitive Computing Lab, Georgia Institute of Technology
produced by: Vestlandsforsking
published: Nov. 22, 2011,   recorded: May 2011,   views: 3622
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Description

With the advent of open education resources, social networking technologies and new pedagogies for online and blended learning, we are in the early stages of a significant disruption in current models of education. The disruption is fueled by a staggering growth in demand. It is estimated that there will be 100 million students qualified to enter universities over the next decade. To educate them, a major university would need to be created every week. Universities have responded to this need with Open Education Resources—thousands of free, high quality courses, developed by hundreds of faculty, used by millions worldwide. Unfortunately, online courseware does not offer a supporting learning experience or the engagement needed to keep students motivated. Students read less when using e-textbooks; video lectures are boring; and retention and course completion rates are low. Therein lies the core problem: How to engage a generation of learners who live on the Internet yet tune out of school, who seek interaction on Facebook yet find none on iTunes U, who need community yet are only offered content. We propose a new approach to this problem: open social learning communities anchored with open content, providing an interactive online study group experience akin to sitting with study buddies on a world-wide campus quad. This solution is enabled by state-of-the-art web technologies: really real-time collaboration technologies for a highly interactive experience; intelligent recommender systems to help learners connect with relevant content and other learners; mining and analytics to assess learner outcomes; and reputation techniques to establish social capital. We will discuss these technologies and how they can be combined to address the problem of education in a manner that is highly scalable yet interactive and engaging. This talk represents joint work with Preetha Ram (Emory University), Hua Ai (Georgia Tech), Chris Sprague (OpenStudy), and Saurav Sahay (Georgia Tech).

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