Data, Analytics and Learning

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Course Date: 20 October 2014 to 22 December 2014 (9 weeks)

Price: free

Course Summary

An introduction to the logic and methods of analysis of data to improve teaching and learning.

Course Instructors

George Siemens

Professor and Executive Director, Learning Innovation & Networked Knowledge (LINK) Research Lab, University of Texas Arlington. Co-founder and President, Society for Learning Analytics Research.

Carolyn Rosé

Associate Professor of Language Technologies and Human-Computer Interaction in the School of Computer Science at Carnegie Mellon University, Secretary/Treasurer of the International Society of the Learning Sciences, Associate Editor of the International Journal of Computer Supported Collaborative Learning and IEEE Transactions on Learning Technologies.

Dragan Gasevic

Associate Professor and Canada Research Chair in Semantic and Learning Technologies in the School of Computing and Information Systems at Athabasca University.  Co-founder and President Elect, Society for Learning Analytics Research. Editor of the Journal of Learning Analytics.

Ryan Baker

Associate Professor of Cognitive Studies, Teachers College Columbia University, Founding President of the International Educational Data Mining Society, Associate Editor of the Journal of Educational Data Mining.

Course Description

Capturing and analyzing data has changed how decisions are made and resources are allocated in businesses, journalism, government, and military and intelligence fields. Through better use of data, leaders are able to plan and enact strategies with greater clarity and confidence. Data drives increased organizational efficiency and a competitive advantage. Simply, analytics provide new insight and actionable intelligence.

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