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 | 721 | 2015 |
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 | 386 | 2020 |
The role of explanation in discovery and generalization: Evidence from category learning JJ Williams, T Lombrozo Cognitive science 34 (5), 776-806, 2010 | 275 | 2010 |
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 | 211 | 2016 |
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 | 195 | 2015 |
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 | 186 | 2020 |
Explanation and prior knowledge interact to guide learning JJ Williams, T Lombrozo Cognitive psychology 66 (1), 55-84, 2013 | 160 | 2013 |
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 | 153 | 2014 |
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 | 139 | 2015 |
A rational model of function learning CG Lucas, TL Griffiths, JJ Williams, ML Kalish Psychonomic bulletin & review 22 (5), 1193-1215, 2015 | 136 | 2015 |
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 | 126 | 2013 |
Explaining constrains causal learning in childhood CM Walker, T Lombrozo, JJ Williams, AN Rafferty, A Gopnik Child development 88 (1), 229-246, 2017 | 89 | 2017 |
Modeling human function learning with Gaussian processes T Griffiths, C Lucas, J Williams, M Kalish Advances in neural information processing systems 21, 2008 | 88 | 2008 |
Ripple: A crowdsourced adaptive platform for recommendation of learning activities H Khosravi, K Kitto, JJ Williams arXiv preprint arXiv:1910.05522, 2019 | 79 | 2019 |
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, 615-644, 2016 | 76 | 2016 |
mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study A Aguilera, CA Figueroa, R Hernandez-Ramos, U Sarkar, A Cemballi, ... BMJ open 10 (8), e034723, 2020 | 75 | 2020 |
Bandit algorithms to personalize educational chatbots W Cai, J Grossman, ZJ Lin, H Sheng, JTZ Wei, JJ Williams, S Goel Machine Learning 110 (9), 2389-2418, 2021 | 57* | 2021 |
The impact of adding textual explanations to next-step hints in a novice programming environment S Marwan, N Lytle, JJ Williams, T Price Proceedings of the 2019 ACM conference on innovation and technology in …, 2019 | 53 | 2019 |
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 | 50 | 2018 |
Evaluating computational models of explanation using human judgments M Pacer, J Williams, X Chen, T Lombrozo, T Griffiths arXiv preprint arXiv:1309.6855, 2013 | 48 | 2013 |