John Champaign
Cited by
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Learning in an introductory physics MOOC: All cohorts learn equally, including an on-campus class
KF Colvin, J Champaign, A Liu, Q Zhou, C Fredericks, DE Pritchard
The international review of research in open and distributed learning 15 (4), 2014
Correlating skill and improvement in 2 MOOCs with a student's time on tasks
J Champaign, KF Colvin, A Liu, C Fredericks, D Seaton, DE Pritchard
Proceedings of the first ACM conference on Learning@ scale conference, 11-20, 2014
A model for content sequencing in intelligent tutoring systems based on the ecological approach and its validation through simulated students
J Champaign, R Cohen
Twenty-Third International FLAIRS Conference, 2010
A Markov chain collaborative filtering model for course enrollment recommendations
ES Khorasani, Z Zhenge, J Champaign
2016 IEEE International Conference on Big Data (Big Data), 3484-3490, 2016
InfoSkills2Go: using badges and gamification to teach information literacy skills and concepts to college-bound high school students
J Laubersheimer, D Ryan, J Champaign
Journal of library administration 56 (8), 924-938, 2016
Peer-based intelligent tutoring systems: a corpus-oriented approach
J Champaign
Canadian Conference on Artificial Intelligence, 393-396, 2010
Peer-based intelligent tutoring systems: a corpus-oriented approach
J Champaign
Canadian Conference on Artificial Intelligence, 393-396, 2010
Coping with poor advice from peers in peer-based intelligent tutoring: The case of avoiding bad annotations of learning objects
J Champaign, J Zhang, R Cohen
International Conference on User Modeling, Adaptation, and Personalization …, 2011
Simulated learners
G McCalla, J Champaign
IEEE Intelligent Systems 28 (04), 67-71, 2013
Stability and volatility in the Linux kernel
J Champaign, A Malton, X Dong
Sixth International Workshop on Principles of Software Evolution, 2003 …, 2003
Comparing Learning in a MOOC and a Blended, On-Campus Course
K Colvin, J Champaign, A Liu, C Fredericks, D Pritchard
Educational Data Mining 2014, 2014
Exploring the effects of errors in assessment and time requirements of learning objects in a peer-based intelligent tutoring system
J Champaign, R Cohen
Twenty-Fourth International FLAIRS Conference, 2011
Empowering patients and caregivers to manage healthcare via streamlined presentation of web objects selected by modeling learning benefits obtained by similar peers
J Champaign, R Cohen, DY Lam
ACM Transactions on Intelligent Systems and Technology (TIST) 6 (4), 1-41, 2015
A multiagent, ecological approach to content sequencing
J Champaign, R Cohen
Proceedings of the 9th International Conference on Autonomous Agents and …, 2010
Credibilitybased trust in social networks
N Sardana, R Cohen, J Zhang, J Champaign
Proceedings of the AAMAS 2013 international workshop on Trust in Agent …, 2013
An annotations approach to peer tutoring
J Champaign, R Cohen
Educational Data Mining 2010, 2010
An Empirical Study of Software Packaging Stability
JC Champaign
University of Waterloo, 2003
AIED 2013 simulated learners workshop
G McCalla, J Champaign
International Conference on Artificial Intelligence in Education, 954-955, 2013
Ecological content sequencing: from simulated students to an effective user study
J Champaign, R Cohen
International Journal of Learning Technology 8 (4), 337-361, 2013
The validation of an annotations approach to peer tutoring through simulation incorporating the modeling of reputation
J Champaign, R Cohen, J Zhang
Proc. The 19th International Conference on Computer in Education, 2011
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