Ryan S. Baker

Ryan S. Baker (born 1977 in Naperville, Illinois) is an associate professor of education and computer science at the University of Pennsylvania, and also directs the Penn Center for Learning Analytics. He is known for his role in establishing the educational data mining scientific community, for the Baker Rodrigo Ocumpaugh Monitoring Protocol (BROMP), and for establishing the first automated detector of student disengagement. He was awarded the Educational Research Award for 2018 by the Council of Scientific Society Presidents.[1]

Ryan S. Baker
Born1977
NationalityUSA
CitizenshipUSA
Alma materCarnegie Mellon University (PhD)
Scientific career
FieldsLearning Analytics, Educational Data Mining
InstitutionsUniversity of Pennsylvania
Academic advisorsKenneth Koedinger, Albert T. Corbett

Early life and education

After graduating from the Texas Academy of Mathematics and Science, Baker received a Sc.B. in Computer Science (2000) at Brown University, and his Ph.D. (2005) in Human-Computer Interaction from Carnegie Mellon University. His doctoral advisers were Kenneth Koedinger and Albert T. Corbett.

Career

Baker is tenured Associate Professor in the Graduate School of Education at the University of Pennsylvania. His primary appointment is in the Teaching, Learning, and Leadership Division. He also affiliated with the Higher Education Division and the Department of Computer and Information Science. Prior to joining Penn GSE, Dr. Baker was an associate professor in the Department of Human Development at Teachers College, Columbia University from 2013 to 2016; and an affiliate assistant professor at Worcester Polytechnic Institute from 2013-2017. He also served as the Julius and Rosa Sachs Distinguished Lecturer at Teachers College, Columbia University from 2012-2013.[2]

In addition, Dr. Baker is an editor of Computer-Based Learning in Context, associate Editor of the Journal of Educational Data Mining and the International Journal of Artificial Intelligence and Education. He also is the co-Lead of the Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub.

Role in Development of Educational Data Mining Field

Baker was Founding President of the International Educational Data Mining Society,[3] and was one of the first (and current) Associate Editors of the Journal of Educational Data Mining.[4] He served as founding Director of the Pittsburgh Science of Learning Center DataShop, at one time the world's largest public repository for educational interaction data.[5]

Baker taught the MOOC Big Data and Education multiple times,[6] on both the Coursera and edX platforms. He also founded the world's first Masters program in Learning analytics.[7]

Research on Automated Detectors

Baker developed automated detectors that make inferences in real-time about students' affect and motivational and meta-cognitive behaviors, including the first automated detector of student disengagement,[8][9] and work to link these constructs to long-term student achievement.[10] These automated detectors have been embedded into several online learning systems used at scale in the United States, including ASSISTments.[11]

Baker's research to develop automated detectors of engagement also led to the development of Baker Rodrigo Ocumpaugh Monitoring Protocol (BROMP), a protocol for classroom observation that has been used to study student engagement in a range of settings, including research on traditional classroom practices and informal field education.

Tools for EDM Research
  • MOOC Replication Framework (MORF)
  • HART (Human Affect Recording Tool)
  • Bayesian Knowledge Tracing Brute Force model fitting code
  • Gaming Detector and Off-Task Behavior Detector
  • Models of Guessing and Slipping )
  • A'/AUC Code: GUI and code for computing A'/AUC that does not fail for cases where multiple data points have same confidence
  • BrightBytes Early Warning System

Collaborations

Baker has co-authored peer-reviewed scientific papers with over 300 other scientists,[12] including Neil Heffernan, Vincent Aleven, Bruce McLaren, Arthur C. Graesser, George Siemens, and Dragan Gasevic leading to him being listed as one of the most collaborative scientists in his field.[13] As of this writing, Baker has around 300 papers, with over 16,000 citations and an h-index over 50.[14]

See also

References
  1. "2018 Awards Media Release Educational Research" (PDF). Council of Scientific Society Presidents. Retrieved 2018-12-024. Check date values in: |accessdate= (help)
  2. "Sachs and Tisch Lectureships". Retrieved 2017-06-03.
  3. "HONORARY APPOINTMENTS OF TOP RESEARCHERS IN LEARNING ANALYTICS WITH THE SCHOOL". University of Edinburgh. Retrieved 2017-06-03.
  4. "JEDM - Journal of Educational Data Mining". International Educational Data Mining Society. Retrieved 2017-06-03.
  5. "DataLab's EDM History". Carnegie Mellon University. Retrieved 2017-06-03.
  6. "Big Data and Education". Retrieved 2017-06-03.
  7. "TC's Ryan Baker: A Learning Experience for a Learning Analyst". 2015-08-27. Retrieved 2017-06-03.
  8. "Ryan Baker". Retrieved 2017-06-03.
  9. "Gaming the System". Retrieved 2017-06-03.
  10. Kantrowitz, Barbara (2014-07-15). "Scientists Bring New Rigor to Education Research". Scientific American. Retrieved 2017-06-03.
  11. Murphy, Annie Paul (2012-09-16). "How Computerized Tutors are Learning to Teach Humans". New York Times Magazine. Retrieved 2017-06-03.
  12. "CV Ryan Baker" (PDF). Retrieved 2017-06-03.
  13. Nawaz, S., Marbouti, F., & Strobel, J. (2013). Analysis of the Community of Learning Analytics (PDF). Workshop on the Learning Analytics Data Challenge.CS1 maint: multiple names: authors list (link)
  14. "Google Scholar -- Ryan Baker". Retrieved 2018-12-24.
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