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Jane Bozarth to Deliver Keynote Address on Social Media for Learning

Ryan Baker to Deliver Plenary Address on Educational Data Mining

 

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22st Annual OLC International Conference
November 16-18, 2016 | Orlando, Florida | Walt Disney World Swan/Dolphin Resort

OLC Innovate 2016 - Innovations in Blended and Online Learning
April 20-22, 2016 | New Orleans, LA | Sheraton New Orleans Hotel

Educational Data Mining: Potentials for MOOCs and Blended Learning in Higher Education

#Twitter: 
#blendedbaker
Presenter(s)
Ryan Baker (Teachers College, Columbia University, USA)
Session Information
July 8, 2015 - 8:00am
Institutional Level: 
Multiple
Audience Level: 
All
Session Type: 
Plenary Session
Location: 
Plaza Ballroom A-C
Session Duration: 
60 Minutes
Virtual Session
Abstract

In the last decades, the power of data mining and analytics has transformed practice in field after field. In this talk, I will discuss how this trend is transforming instruction in higher education. Increasingly, large-scale data is available on student learning and interaction online. Much of this data represents student behavior in a fashion that is both longitudinal and fine-grained. This has allowed researchers to model and track many elements of student learning that were not previously feasible at scale: engagement, affect, meta-cognition, collaborative skill, and robust learning. In turn, these models can be used in prediction of long-term student outcomes, and to analyze the factors driving long-term success.

I will illustrate this potential with examples of how our lab has studied engagement and learning in several contexts, including students learning data mining from a MOOC, biology undergraduates learning genetics from intelligent tutoring systems, undergraduates learning how to program, and military cadets and medical residents learning core medical skills. I will discuss how we track disengagement, the processes leading to robust or shallow learning, and the factors leading learners to long-term participation in a community of scientific practice.

 

Lead Presenter

Ryan Baker (Teachers College, Columbia University, USA)

Ryan Baker is Associate Professor of Cognitive Studies at Teachers College, Columbia University. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University. Dr. Baker is currently serving as the founding president of the International Educational Data Mining Society, and as associate editor of the Journal of Educational Data Mining. He has taught the largest MOOC thus far on educational data mining, with over 50,000 students enrolled, and has written an online textbook based on the course,
Big Data and Education. Dr. Baker also served as the first technical director of the Pittsburgh Science of Learning Center DataShop, the largest public repository for data on the interaction between learners and educational software. His research combines educational data mining and quantitative field observation methods to better understand how students respond to educational software, and how these responses impact their learning and long-term outcomes. He studies these issues within intelligent tutors, simulations, multi-user virtual environments, and educational games.