Folgen
Joseph Jay Williams
Joseph Jay Williams
University of Toronto (Computer Science, + statistics, psychology)
Bestätigte E-Mail-Adresse bei cs.toronto.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
HarvardX and MITx: Two years of open online courses fall 2012-summer 2014
A Ho, I Chuang, J Reich, C Coleman, J Whitehill, C Northcutt, J Williams, ...
Available at SSRN 2586847, 2015
2512015
The role of explanation in discovery and generalization: Evidence from category learning
JJ Williams, T Lombrozo
Cognitive science 34 (5), 776-806, 2010
2352010
Axis: Generating explanations at scale with learnersourcing and machine learning
JJ Williams, J Kim, A Rafferty, S Maldonado, KZ Gajos, WS Lasecki, ...
Proceedings of the Third (2016) ACM Conference on Learning@ Scale, 379-388, 2016
1582016
Mining big data in education: Affordances and challenges
C Fischer, ZA Pardos, RS Baker, JJ Williams, P Smyth, R Yu, S Slater, ...
Review of Research in Education 44 (1), 130-160, 2020
1492020
A playful game changer: Fostering student retention in online education with social gamification
M Krause, M Mogalle, H Pohl, JJ Williams
Proceedings of the Second (2015) ACM conference on Learning@ Scale, 95-102, 2015
1432015
Explanation and prior knowledge interact to guide learning
JJ Williams, T Lombrozo
Cognitive psychology 66 (1), 55-84, 2013
1372013
Improving outcome of psychosocial treatments by enhancing memory and learning
AG Harvey, J Lee, J Williams, SD Hollon, MP Walker, MA Thompson, ...
Perspectives on Psychological Science 9 (2), 161-179, 2014
1232014
Beyond prediction: First steps toward automatic intervention in MOOC student stopout
J Whitehill, J Williams, G Lopez, C Coleman, J Reich
Available at SSRN 2611750, 2015
1172015
The hazards of explanation: Overgeneralization in the face of exceptions.
JJ Williams, T Lombrozo, B Rehder
Journal of Experimental Psychology: General 142 (4), 1006, 2013
1042013
A rational model of function learning
CG Lucas, TL Griffiths, JJ Williams, ML Kalish
Psychonomic bulletin & review 22 (5), 1193-1215, 2015
1032015
Scaling up behavioral science interventions in online education
RF Kizilcec, J Reich, M Yeomans, C Dann, E Brunskill, G Lopez, S Turkay, ...
Proceedings of the National Academy of Sciences 117 (26), 14900-14905, 2020
952020
Modeling human function learning with Gaussian processes
T Griffiths, C Lucas, J Williams, M Kalish
Advances in neural information processing systems 21, 2008
792008
Explaining constrains causal learning in childhood
CM Walker, T Lombrozo, JJ Williams, AN Rafferty, A Gopnik
Child development 88 (1), 229-246, 2017
662017
The future of adaptive learning: does the crowd hold the key?
NT Heffernan, KS Ostrow, K Kelly, D Selent, EG Van Inwegen, X Xiong, ...
International Journal of Artificial Intelligence in Education 26 (2), 615-644, 2016
582016
Ripple: a crowdsourced adaptive platform for recommendation of learning activities
H Khosravi, K Kitto, JJ Williams
arXiv preprint arXiv:1910.05522, 2019
422019
Understanding the effect of in-video prompting on learners and instructors
H Shin, EY Ko, JJ Williams, J Kim
Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018
392018
Evaluating computational models of explanation using human judgments
M Pacer, J Williams, X Chen, T Lombrozo, T Griffiths
arXiv preprint arXiv:1309.6855, 2013
392013
Why are people bad at detecting randomness? A statistical argument.
JJ Williams, TL Griffiths
Journal of experimental psychology: learning, memory, and cognition 39 (5), 1473, 2013
372013
Beyond time-on-task: The relationship between spaced study and certification in MOOCs
Y Miyamoto, C Coleman, J Williams, J Whitehill, S Nesterko, J Reich
Available at SSRN 2547799, 2015
362015
Learning cognitive behavior therapy
NB Gumport, JJ Williams, AG Harvey
Journal of behavior therapy and experimental psychiatry 48, 164-169, 2015
342015
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20