TITLE:
An Asynchronous, Personalized Learning Platform―Guided Learning Pathways (GLP)
AUTHORS:
Cole Shaw, Richard Larson, Soheil Sibdari
KEYWORDS:
Online Learning, Asynchronous Learning, Personalized Learning, Learning Styles, Pathways, Content Map, Instructional Technology, Recommendation Algorithm
JOURNAL NAME:
Creative Education,
Vol.5 No.13,
July
25,
2014
ABSTRACT: The authors propose
that personalized learning can be brought to traditional and non-traditional learners
through a synchronous 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.