An Asynchronous, Personalized Learning Platform―Guided Learning Pathways (GLP)
Author(s)Sibdari, Soheil; Shaw, Cole J; Larson, Richard Charles
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The authors propose that personalized learning can be brought to traditional and non-traditional learners through asynchronous learning platform that recommends to individual learners the learning materials best suited for him or her. Such a platform would allow learners to advance towards individual learning goals at their own pace, with learning materials catered to each learner’s interests and motivations. This paper describes the authors’ vision and design for a modular, personalized learning platform called Guided Learning Pathways (GLP), and its characteristics and features. We provide detailed descriptions of and propose frameworks for critical modules like the Content Map, Learning Nuggets, and Recommendation Algorithms. A threaded user scenario is provided for each module to help the reader visualize different aspects of GLP. We discuss work done at MIT to support such a platform.
DepartmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering; Massachusetts Institute of Technology. Institute for Data, Systems, and Society; Massachusetts Institute of Technology. Office of Digital Learning
Scientific Research Publishing, Inc.
Shaw, Cole; Larson, Richard and Sibdari, Soheil. “An Asynchronous, Personalized Learning Platform―Guided Learning Pathways (GLP).” Creative Education 05, no. 13 (2014): 1189–1204. © 2014 by authors and Scientific Research Publishing Inc
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