Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJoseph Jay Williams
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[c75]Joseph Jay Williams
, Nathan Laundry, Ilya Musabirov, Angela M. Zavaleta Bernuy, Michael Liut:
Designing, Deploying, and Analyzing Adaptive Educational Field Experiments. SIGCSE (2) 2023: 1179- [c74]Ilya Musabirov, Angela M. Zavaleta Bernuy, Michael Liut, Joseph Jay Williams:
A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous Improvement. SIGCSE (2) 2023: 1279 - [c73]Xuening Wu, Eunchae Seong, Ananya Bhattacharjee, Dana Kulzhabayeva, Pan Chen, Joseph Jay Williams:
Designing Voice Reflection for Students. SIGCSE (2) 2023: 1322 - [c72]Harsh Kumar, Kunzhi Yu, Andrew Chung, Jiakai Shi, Joseph Jay Williams:
Exploring The Potential of Chatbots to Provide Mental Well-being Support for Computer Science Students. SIGCSE (2) 2023: 1339 - [c71]Elexandra Tran, Angela M. Zavaleta Bernuy, Bogdan Simion, Michael Liut, Andrew Petersen, Joseph Jay Williams:
Investigating Subject Lines Length on Students' Email Open Rates. SIGCSE (2) 2023: 1363 - 2022
- [j10]Rachel Kornfield, David C. Mohr, Rachel Ranney, Emily G. Lattie, Jonah Meyerhoff, Joseph Jay Williams, Madhu C. Reddy:
Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 99:1-99:30 (2022) - [j9]Ananya Bhattacharjee, Joseph Jay Williams, Karrie Chou, Justice Tomlinson, Jonah Meyerhoff, Alex Mariakakis, Rachel Kornfield:
"I Kind of Bounce off It": Translating Mental Health Principles into Real Life Through Story-Based Text Messages. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-31 (2022) - [c70]Harsh Kumar, Taneea S. Agrawaal, Kwan Kiu Choy, Jiakai Shi, Joseph Jay Williams:
"Sounds like a Cheesy Radio Ad": Using User Perspectives for Enhancing Digital COVID Vaccine Communication Strategies for Public Health Agencies. CHI Extended Abstracts 2022: 288:1-288:7 - [c69]Rachel Kornfield, Jonah Meyerhoff, Hannah Studd, Ananya Bhattacharjee, Joseph Jay Williams, Madhu C. Reddy, David C. Mohr:
Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults. CHI 2022: 329:1-329:16 - [c68]Angela M. Zavaleta Bernuy, Ziwen Han, Hammad Shaikh, Qi Yin Zheng, Lisa-Angelique Lim, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams:
How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. LAK 2022: 107-118 - [c67]Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Ben Motz, Debshila Basu Mallick, Klinton Bicknell, Danielle S. McNamara, René F. Kizilcec, Jeremy Roschelle, Richard G. Baraniuk, Ryan Baker:
Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 2022: 252-254 - [c66]Pan Chen, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Joseph Jay Williams:
Investigating the Impact of Voice Response Options in Surveys. SIGCSE (2) 2022: 1124 - [c65]Runlong Ye, Pan Chen, Yini Mao, Angela Wang-Lin, Hammad Shaikh, Angela M. Zavaleta Bernuy, Joseph Jay Williams:
Behavioral Consequences of Reminder Emails on Students' Academic Performance: a Real-world Deployment. SIGITE 2022: 16-22 - [i18]Nina Deliu, Joseph Jay Williams, Bibhas Chakraborty:
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions. CoRR abs/2203.02605 (2022) - [i17]Mohi Reza, Akmar Chowdhury, Aidan Li, Mahathi Gandhamaneni, Joseph Jay Williams:
Experimenting with Experimentation: Rethinking The Role of Experimentation in Educational Design. CoRR abs/2208.05069 (2022) - [i16]Angela M. Zavaleta Bernuy, Ziwen Han, Hammad Shaikh, Qi Yin Zheng, Lisa-Angelique Lim, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams:
How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. CoRR abs/2208.05087 (2022) - [i15]Fernando J. Yanez, Angela M. Zavaleta Bernuy, Ziwen Han, Michael Liut, Anna N. Rafferty, Joseph Jay Williams:
Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits. CoRR abs/2208.05090 (2022) - [i14]Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams:
Using Adaptive Experiments to Rapidly Help Students. CoRR abs/2208.05092 (2022) - [i13]Harsh Kumar, Ilya Musabirov, Jiakai Shi, Adele Lauzon, Kwan Kiu Choy, Ofek Gross, Dana Kulzhabayeva, Joseph Jay Williams:
Exploring The Design of Prompts For Applying GPT-3 based Chatbots: A Mental Wellbeing Case Study on Mechanical Turk. CoRR abs/2209.11344 (2022) - [i12]Susan Athey, Undral Byambadalai, Vitor Hadad, Sanath Kumar Krishnamurthy, Weiwen Leung, Joseph Jay Williams:
Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning. CoRR abs/2211.12004 (2022) - 2021
- [j8]Caroline A. Figueroa, Adrián Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu, Urmimala Sarkar, Joseph Jay Williams, Courtney R. Lyles:
Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions. J. Am. Medical Informatics Assoc. 28(6): 1225-1234 (2021) - [j7]William Cai, Josh Grossman, Zhiyuan (Jerry) Lin, Hao Sheng, Johnny Tian-Zheng Wei, Joseph Jay Williams, Sharad Goel:
Bandit algorithms to personalize educational chatbots. Mach. Learn. 110(9): 2389-2418 (2021) - [j6]Kexin Bella Yang, Tomohiro Nagashima, Junhui Yao, Joseph Jay Williams, Kenneth Holstein, Vincent Aleven:
Can Crowds Customize Instructional Materials with Minimal Expert Guidance?: Exploring Teacher-guided Crowdsourcing for Improving Hints in an AI-based Tutor. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 119:1-119:24 (2021) - [c64]Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams:
Using Adaptive Experiments to Rapidly Help Students. AIED (2) 2021: 422-426 - [c63]Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell:
Second Workshop on Educational A/B Testing at Scale. L@S 2021: 1-3 - [c62]Mohi Reza, Juho Kim, Ananya Bhattacharjee, Anna N. Rafferty, Joseph Jay Williams:
The MOOClet Framework: Unifying Experimentation, Dynamic Improvement, and Personalization in Online Courses. L@S 2021: 15-26 - [c61]Yuya Asano, Madhurima Dutta, Trisha Thakur, Jaemarie Solyst, Stephanie Cristea, Helena Jovic, Andrew Petersen, Joseph Jay Williams:
Exploring Additional Personalized Support While Attempting Exercise Problems in Online Learning Platforms. L@S 2021: 235-238 - [c60]Thomas W. Price, Samiha Marwan, Joseph Jay Williams:
Exploring Design Choices in Data-driven Hints for Python Programming Homework. L@S 2021: 283-286 - [c59]Jaemarie Solyst, Trisha Thakur, Madhurima Dutta, Yuya Asano, Andrew Petersen, Joseph Jay Williams:
Procrastination and Gaming in an Online Homework System of an Inverted CS1. SIGCSE 2021: 789-795 - [c58]Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Andrew Petersen, Joseph Jay Williams:
Investigating the Impact of Online Homework Reminders Using Randomized A/B Comparisons. SIGCSE 2021: 921-927 - [i11]Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia S. Villar, Audrey Durand, Anna N. Rafferty:
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments. CoRR abs/2103.12198 (2021) - [i10]Nina Deliu, Joseph Jay Williams, Sofia S. Villar:
Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling. CoRR abs/2111.00137 (2021) - [i9]Jacob Nogas, Tong Li, Fernando J. Yanez, Arghavan Modiri, Nina Deliu, Ben Prystawski, Sofia S. Villar, Anna N. Rafferty, Joseph Jay Williams:
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization. CoRR abs/2112.08507 (2021) - [i8]Ananya Bhattacharjee, Pan Chen, Linjia Zhou, Abhijoy Mandal, Jai Aggarwal, Katie O'Leary, Anne Hsu, Alex Mariakakis, Joseph Jay Williams:
Understanding User Perspectives on Prompts for Brief Reflection on Troubling Emotions. CoRR abs/2112.10833 (2021) - 2020
- [j5]Viktoria Pammer-Schindler, Erik Harpstead, Benjamin Xie, Betsy DiSalvo, Ahmed Kharrufa, Petr Slovák, Amy Ogan, Joseph Jay Williams, Michael Jongseon Lee:
Learning and education in HCI: a reflection on the SIG at CHI 2019. Interactions 27(5): 6-7 (2020) - [c57]Thomas W. Price, Samiha Marwan, Michael Winters, Joseph Jay Williams:
An Evaluation of Data-Driven Programming Hints in a Classroom Setting. AIED (2) 2020: 246-251 - [c56]Caroline A. Figueroa, Adrián Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu, Urmimala Sarkar, Joseph Jay Williams, Courtney R. Lyles:
Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones. AMIA 2020 - [c55]Nediyana Daskalova, Jina Yoon, Yibing Wang, Cintia Araújo, Guillermo Beltrán, Nicole Nugent, John McGeary, Joseph Jay Williams, Jeff Huang:
SleepBandits: Guided Flexible Self-Experiments for Sleep. CHI 2020: 1-13 - [c54]Thomas W. Price, Joseph Jay Williams, Jaemarie Solyst, Samiha Marwan:
Engaging Students with Instructor Solutions in Online Programming Homework. CHI 2020: 1-7 - [c53]Zhaobin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty:
Getting too personal(ized): The importance of feature choice in online adaptive algorithms. EDM 2020 - [c52]Ben Prystawski, Jacob Nogas, Andrew Petersen, Joseph Jay Williams:
Improving Short and Long-term Learning in an Online Homework System. CSEDM@EDM 2020 - [c51]Yuya Asano, Jaemarie Solyst, Joseph Jay Williams:
Characterizing and influencing students' tendency to write self-explanations in online homework. LAK 2020: 448-453 - [c50]Meng Xia, Yuya Asano, Joseph Jay Williams, Huamin Qu, Xiaojuan Ma:
Using Information Visualization to Promote Students' Reflection on "Gaming the System" in Online Learning. L@S 2020: 37-49 - [c49]Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Burr Settles, Phillip Grimaldi, Derek Lomas:
Workshop Proposal: Educational A/B Testing at Scale. L@S 2020: 219-220 - [i7]Arnold Y. S. Yeung, Shalmali Joshi, Joseph Jay Williams, Frank Rudzicz:
Sequential Explanations with Mental Model-Based Policies. CoRR abs/2007.09028 (2020)
2010 – 2019
- 2019
- [j4]Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams:
RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities. J. Learn. Anal. 6(3) (2019) - [c48]Ching (Jean) Liu, Chi-Lan Yang, Joseph Jay Williams, Hao-Chuan Wang:
NoteStruct: Scaffolding Note-taking while Learning from Online Videos. CHI Extended Abstracts 2019 - [c47]Lillio Mok, Brenna Li, Stephen Gou, Joseph Jay Williams:
Understanding and Correcting Inaccurate Calorie Estimations on Amazon Mechanical Turk. CHI Extended Abstracts 2019 - [c46]Benjamin Xie, Erik Harpstead, Betsy DiSalvo, Petr Slovák, Ahmed Kharrufa, Michael Jongseon Lee, Viktoria Pammer-Schindler, Amy Ogan, Joseph Jay Williams:
Learning, Education, and HCI. CHI Extended Abstracts 2019 - [c45]Lisa Zhang, Michelle Craig, Mark Kazakevich, Joseph Jay Williams:
Experience Report: Mini Guest Lectures in a CS1 Course via Video Conferencing. CompEd 2019: 222-228 - [c44]Hammad Shaikh, Arghavan Modiri, Joseph Jay Williams, Anna N. Rafferty:
Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments. EDM 2019 - [c43]Samiha Marwan, Joseph Jay Williams, Thomas W. Price:
An Evaluation of the Impact of Automated Programming Hints on Performance and Learning. ICER 2019: 61-70 - [c42]Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum:
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. IJCAI 2019: 3835-3841 - [c41]Samiha Marwan, Nicholas Lytle, Joseph Jay Williams, Thomas W. Price:
The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment. ITiCSE 2019: 520-526 - [i6]Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams:
RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities. CoRR abs/1910.05522 (2019) - 2018
- [c40]Anna N. Rafferty, Huiji Ying, Joseph Jay Williams:
Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power. AIED (2) 2018: 286-290 - [c39]Avi Segal, Yossi Ben David, Joseph Jay Williams, Kobi Gal, Yaar Shalom:
Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content. AIED (2) 2018: 317-321 - [c38]Pin Sym Foong, Shengdong Zhao, Felicia Tan, Joseph Jay Williams:
Harvesting Caregiving Knowledge: Design Considerations for Integrating Volunteer Input in Dementia Care. CHI 2018: 79 - [c37]Joseph Jay Williams, Anna N. Rafferty, Dustin Tingley, Andrew M. Ang, Walter S. Lasecki, Juho Kim:
Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments. CHI 2018: 207 - [c36]Hyungyu Shin, Eun-Young Ko, Joseph Jay Williams, Juho Kim:
Understanding the Effect of In-Video Prompting on Learners and Instructors. CHI 2018: 319 - [c35]Shayan Doroudi, Joseph Jay Williams, Juho Kim, Thanaporn Patikorn, Korinn Ostrow, Douglas Selent, Neil T. Heffernan, Thomas T. Hills, Carolyn P. Rosé:
Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. ICLS 2018 - [c34]Merrin Oliver, Maggie Renken, Joseph Jay Williams:
Revising Biology Misconceptions Using Retrieval Practice and Explanation Prompts. ICLS 2018 - [c33]Dan Ding, Oleksandra Poquet, Joseph Jay Williams, Radhika Nikam, Samuel Rhys Cox:
Increasing Response Rates to Email Surveys in MOOCs. UMAP (Adjunct Publication) 2018: 203-206 - [i5]Avi Segal, Yossi Ben David, Joseph Jay Williams, Kobi Gal, Yaar Shalom:
Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content. CoRR abs/1804.05212 (2018) - 2017
- [c32]Joseph Jay Williams, Anna N. Rafferty, Andrew M. Ang, Dustin Tingley, Walter S. Lasecki, Juho Kim:
Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation. CHI Extended Abstracts 2017: 3012-3018 - [c31]Joseph Jay Williams, Anna N. Rafferty, Samuel G. Maldonado, Andrew M. Ang, Dustin Tingley, Juho Kim:
MOOClets: A Framework for Dynamic Experimentation and Personalization. L@S 2017: 287-290 - [c30]Jakub Macina, Ivan Srba, Joseph Jay Williams, Mária Bieliková:
Educational Question Routing in Online Student Communities. RecSys 2017: 47-55 - 2016
- [j3]Neil T. Heffernan, Korinn S. Ostrow, Kim M. Kelly, Douglas Selent, Eric Van Inwegen, Xiaolu Xiong, Joseph Jay Williams:
The Future of Adaptive Learning: Does the Crowd Hold the Key? Int. J. Artif. Intell. Educ. 26(2): 615-644 (2016) - [c29]Joseph Jay Williams, Tania Lombrozo, Anne Hsu, Bernd Huber, Juho Kim:
Revising Learner Misconceptions Without Feedback: Prompting for Reflection on Anomalies. CHI 2016: 470-474 - [c28]Markus Krause, Margeret Hall, Joseph Jay Williams, Praveen K. Paritosh, John Prip, Simon Caton:
Connecting Online Work and Online Education at Scale. CHI Extended Abstracts 2016: 3536-3541 - [c27]Joseph Jay Williams, Anthony Botelho, Adam Sales, Neil T. Heffernan, Charles Lang:
Discovering 'Tough Love' Interventions Despite Dropout. EDM 2016: 650-651 - [c26]Korinn S. Ostrow, Douglas Selent, Yan Wang, Eric Van Inwegen, Neil T. Heffernan, Joseph Jay Williams:
The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment. LAK 2016: 279-288 - [c25]Joseph Jay Williams, Juho Kim, Anna N. Rafferty, Samuel G. Maldonado, Krzysztof Z. Gajos, Walter S. Lasecki, Neil T. Heffernan:
AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. L@S 2016: 379-388 - [c24]Joseph Jay Williams, Luong Hoang:
Combining Dynamic A/B Experimentation and Recommender Systems in MOOCs. RecSys Posters 2016 - 2015
- [j2]Yohsuke Roy Miyamoto, Cody A. Coleman, Joseph Jay Williams, Jacob Whitehill, Sergiy O. Nesterko, Justin Reich:
Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs. J. Learn. Anal. 2(2): 47-69 (2015) - [c23]Joseph Jay Williams, Markus Krause, Praveen K. Paritosh, Jacob Whitehill, Justin Reich, Juho Kim, Piotr Mitros, Neil T. Heffernan, Brian C. Keegan:
Connecting Collaborative & Crowd Work with Online Education. CSCW Companion 2015: 313-318 - [c22]Jacob Whitehill, Joseph Jay Williams, Glenn Lopez, Cody A. Coleman, Justin Reich:
Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out. EDM 2015: 171-178 - [c21]Markus Krause, Marc Mogalle, Henning Pohl, Joseph Jay Williams:
A Playful Game Changer: Fostering Student Retention in Online Education with Social Gamification. L@S 2015: 95-102 - [c20]Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan:
Using and Designing Platforms for In Vivo Educational Experiments. L@S 2015: 409-412 - [c19]Joseph Jay Williams, Juho Kim, Brian Keegan:
Supporting Instructors in Collaborating with Researchers using MOOClets. L@S 2015: 413-416 - [c18]Joseph Jay Williams, Neil T. Heffernan:
A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons. UMAP Workshops 2015 - [i4]Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan:
Using and Designing Platforms for In Vivo Education Experiments. CoRR abs/1502.04245 (2015) - [i3]Joseph Jay Williams, Juho Kim, Brian C. Keegan:
Supporting Instructors in Collaborating with Researchers using MOOClets. CoRR abs/1502.04247 (2015) - [i2]Joseph Jay Williams, Neil T. Heffernan:
A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons. CoRR abs/1509.04360 (2015) - 2014
- [c17]Joseph Jay Williams, René F. Kizilcec, Daniel M. Russell, Scott R. Klemmer:
Learning innovation at scale. CHI Extended Abstracts 2014: 131-134 - [c16]Joseph Jay Williams, Betsy Anne Williams:
Online A/B tests & experiments: a practical but scientifically informed introduction. CHI Extended Abstracts 2014: 1047-1048 - [c15]Joseph Jay Williams, Geza Kovacs, Caren M. Walker, Samuel G. Maldonado, Tania Lombrozo:
Learning online via prompts to explain. CHI Extended Abstracts 2014: 2269-2274 - [c14]Brian J. Edwards, Joseph Jay Williams, Dedre Gentner, Tania Lombrozo:
Effects of Comparison and Explanation on Analogical Transfer. CogSci 2014 - 2013
- [c13]Joseph Jay Williams:
Improving learning in MOOCs with Cognitive Science. AIED Workshops 2013 - [c12]Joseph Jay Williams, Helen Poldsam:
Providing implicit formative feedback to learners by combining self-generated and instructional explanations. AIED Workshops 2013 - [c11]Joseph Jay Williams, Dave Paunesku, Benjamin Heley, Jascha Sohl-Dickstein:
Measurably Increasing Motivation in MOOCs. AIED Workshops 2013 - [c10]Brian J. Edwards, Joseph Jay Williams, Tania Lombrozo:
Effects of Explanation and Comparison on Category Learning. CogSci 2013 - [c9]Joseph Jay Williams, Alexander Renkl, Kenneth R. Koedinger, John C. Stamper:
Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice. CogSci 2013 - [c8]Joseph Jay Williams, Caren M. Walker, Samuel G. Maldonado, Tania Lombrozo:
Effects of Explaining Anomalies on the Generation and Evaluation of Hypotheses. CogSci 2013 - [c7]Michael Pacer, Joseph Jay Williams, Xi Chen, Tania Lombrozo, Thomas L. Griffiths:
Evaluating computational models of explanation using human judgments. UAI 2013 - [i1]Michael Pacer, Joseph Jay Williams, Xi Chen, Tania Lombrozo, Thomas L. Griffiths:
Evaluating computational models of explanation using human judgments. CoRR abs/1309.6855 (2013) - 2012
- [c6]Caren M. Walker, Joseph Jay Williams, Tania Lombrozo, Alison Gopnik:
Explaining Influences Children's Reliance on Evidence and Prior Knowledge in Causal Induction. CogSci 2012 - [c5]Joseph Jay Williams, Caren M. Walker, Tania Lombrozo:
Explaining increases belief revision in the face of (many) anomalies. CogSci 2012 - 2011
- [c4]Michelene T. H. Chi, Gerald DeJong, Cristine H. Legare, Tania Lombrozo, Joseph Jay Williams:
Explanation-based Mechanisms for Learning: An Interdisciplinary Approach. CogSci 2011 - [c3]Joseph Jay Williams, Tania Lombrozo, Bob Rehder:
Explaining drives the discovery of real and illusory patterns. CogSci 2011 - 2010
- [j1]Joseph Jay Williams, Tania Lombrozo:
The Role of Explanation in Discovery and Generalization: Evidence From Category Learning. Cogn. Sci. 34(5): 776-806 (2010) - [c2]Joseph Jay Williams, Tania Lombrozo:
The role of explanation in discovery and generalization: evidence from category learning. ICLS 2010: 490-491
2000 – 2009
- 2008
- [c1]Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams, Michael L. Kalish:
Modeling human function learning with Gaussian processes. NIPS 2008: 553-560