Joseph Jay Williams

158 papers A* 13A 11B 29Misc 2Journal 56Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RIE-Greedy: Regularization-Induced Exploration for Contextual Bandits. CoRR Tong Li, Thiago de Queiroz Casanova, Eric M. Schwartz, Victor Kostyuk, Dehan Kong, Joseph Jay Williams
2026	J	`jnl`	Structured Exploration vs. Generative Flexibility: A Field Study Comparing Bandit and LLM Architectures for Personalised Health Behaviour Interventions. CoRR Dominik P. Hofer, Haochen Song, Rania Islambouli, Laura Hawkins, Ananya Bhattacharjee, Meredith Franklin, Joseph Jay Williams, Jan D. Smeddinck
2026	J	`jnl`	Talk Me Through It: Developing Effective Systems for Chart Authoring. CoRR Nazar Ponochevnyi, Young-Ho Kim, Joseph Jay Williams, Anastasia Kuzminykh
2025	J	`jnl`	Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process. CoRR Mohi Reza, Jeb Thomas-Mitchell, Peter Dushniku, Nathan Laundry, Joseph Jay Williams, Anastasia Kuzminykh
2025	J	`jnl`	Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process. Proc. ACM Hum. Comput. Interact. Mohi Reza, Jeb Thomas-Mitchell, Peter Dushniku, Nathan Laundry, Joseph Jay Williams, Anastasia Kuzminykh
2025	—	`conf`	Fitting the Message to the Moment: Designing Calendar-Aware Stress Messaging with Large Language Models. CUI Pranav Rao, Maryam Taj, Alex Mariakakis, Joseph Jay Williams, Ananya Bhattacharjee
2025	J	`jnl`	Fitting the Message to the Moment: Designing Calendar-Aware Stress Messaging with Large Language Models. CoRR Pranav Rao, Maryam Taj, Alex Mariakakis, Joseph Jay Williams, Ananya Bhattacharjee
2025	J	`jnl`	Investigating the Relationship Between Physical Activity and Tailored Behavior Change Messaging: Connecting Contextual Bandit with Large Language Models. CoRR Haochen Song, Dominik P. Hofer, Rania Islambouli, Laura Hawkins, Ananya Bhattacharjee, Meredith Franklin, Joseph Jay Williams
2025	J	`jnl`	Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools. CoRR Ananya Bhattacharjee, Joseph Jay Williams, Miranda L. Beltzer, Jonah Meyerhoff, Harsh Kumar, Haochen Song, David C. Mohr, Alex Mariakakis, Rachel Kornfield
2025	J	`jnl`	Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools. Proc. ACM Hum. Comput. Interact. Ananya Bhattacharjee, Joseph Jay Williams, Miranda L. Beltzer, Jonah Meyerhoff, Harsh Kumar, Haochen Song, David C. Mohr, Alex Mariakakis, Rachel Kornfield
2025	J	`jnl`	Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness. Proc. ACM Hum. Comput. Interact. Harsh Kumar, Suhyeon Yoo, Angela M. Zavaleta Bernuy, Jiakai Shi, Huayin Luo, Joseph Jay Williams, Anastasia Kuzminykh, Ashton Anderson, Rachel Kornfield
2025	J	`jnl`	Micro-Health Interventions: Exploring Design Strategies for 1-Minute Interventions as a Gateway to Healthy Habits. CoRR Zahra Hassanzadeh, David Haag, Lydia B. Chilton, Jan D. Smeddinck, Norman A. S. Farb, Joseph Jay Williams
2025	A	`conf`	Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions. Conference on Designing Interactive Systems Ananya Bhattacharjee, Sarah Yi Xu, Pranav Rao, Yuchen Zeng, Jonah Meyerhoff, Syed Ishtiaque Ahmed, David C. Mohr, Michael Liut, Alex Mariakakis, Rachel Kornfield, Joseph Jay Williams
2025	A	`conf`	Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge. LAK Ilya Musabirov, Mohi Reza, Haochen Song, Steven Moore, Pan Chen, Harsh Kumar, Tong Li, John C. Stamper, Norman L. Bier, Anna N. Rafferty, Thomas W. Price, Nina Deliu, Audrey Durand, Michael Liut, Joseph Jay Williams
2025	J	`jnl`	WAPTS: A Weighted Allocation Probability Adjusted Thompson Sampling Algorithm for High-Dimensional and Sparse Experiment Settings. CoRR Haochen Song, Ilya Musabirov, Ananya Bhattacharjee, Audrey Durand, Meredith Franklin, Anna N. Rafferty, Joseph Jay Williams
2024	J	`jnl`	"Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young Adults. CoRR Ananya Bhattacharjee, Zichen Gong, Bingcheng Wang, Timothy James Luckcock, Emma Watson, Elena Allica Abellan, Leslie Gutman, Anne Hsu, Joseph Jay Williams
2024	J	`jnl`	"Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young Adults. Proc. ACM Hum. Comput. Interact. Ananya Bhattacharjee, Zichen Gong, Bingcheng Wang, Timothy James Luckcock, Emma Watson, Elena Allica Abellan, Leslie Gutman, Anne Hsu, Joseph Jay Williams
2024	J	`jnl`	"It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions. CoRR Ananya Bhattacharjee, Sarah Yi Xu, Pranav Rao, Yuchen Zeng, Jonah Meyerhoff, Syed Ishtiaque Ahmed, David C. Mohr, Michael Liut, Alex Mariakakis, Rachel Kornfield, Joseph Jay Williams
2024	A*	`conf`	ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. CHI Mohi Reza, Nathan M. Laundry, Ilya Musabirov, Peter Dushniku, Zhi Yuan "Michael" Yu, Kashish Mittal, Tovi Grossman, Michael Liut, Anastasia Kuzminykh, Joseph Jay Williams
2024	A	`conf`	Does the Medium Matter? An Exploration of Voice-Interaction for Self-Explanations. Conference on Designing Interactive Systems Angela M. Zavaleta Bernuy, Naaz Sibia, Pan Chen, Jessica Jia-Ni Xu, Elexandra Tran, Runlong Ye, Viktoria Pammer-Schindler, Andrew Petersen, Joseph Jay Williams, Michael Liut
2024	B	`conf`	Dynamics of Causal Attribution. CogSci Dana Kulzhabayeva, Joseph Jay Williams, David Danks
2024	—	`conf`	Examining Intention to Major in Computer Science: Perceived Potential and Challenges. SIGCSE (1) Naaz Sibia, Giang Bui, Bingcheng Wang, Yinyue Tan, Angela M. Zavaleta Bernuy, Christina Bauer, Joseph Jay Williams, Michael Liut, Andrew Petersen
2024	—	`conf`	Exploring Self-Explanations in a Flipped Database Course. DataEd@SIGMOD Naaz Sibia, Angela M. Zavaleta Bernuy, Elexandra Tran, Jessica Jia-Ni Xu, Joseph Jay Williams, Andrew Petersen, Michael Liut
2024	B	`conf`	Fifth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S Steven Ritter, Stephen E. Fancsali, April Murphy, Neil T. Heffernan, Ben Motz, Debshila Basu Mallick, Jeremy Roschelle, Danielle S. McNamara, Joseph Jay Williams
2024	J	`jnl`	Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust. Proc. ACM Hum. Comput. Interact. Harsh Kumar, Ilya Musabirov, Mohi Reza, Jiakai Shi, Xinyuan Wang, Joseph Jay Williams, Anastasia Kuzminykh, Michael Liut
2024	—	`conf`	Integrating Digital Calendars with Large Language Models for Stress Management Interventions. PERSUASIVE (Adjunct) Pranav Rao, Sarah Yi Xu, Ananya Bhattacharjee, Yuchen Zeng, Alex Mariakakis, Joseph Jay Williams
2024	J	`jnl`	Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness. CoRR Harsh Kumar, Suhyeon Yoo, Angela M. Zavaleta Bernuy, Jiakai Shi, Huayin Luo, Joseph Jay Williams, Anastasia Kuzminykh, Ashton Anderson, Rachel Kornfield
2024	—	`conf`	Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education. WCCCE Ilya Musabirov, Angela M. Zavaleta Bernuy, Pan Chen, Michael Liut, Joseph Jay Williams
2024	—	`conf`	Preface to the 1st International Workshop on Algorithmic Behavior Change Support. PERSUASIVE (Adjunct) Nele Albers, Amal Abdulrahman, Deborah Richards, Caroline A. Figueroa, Bibhas Chakraborty, Ananya Bhattacharjee, Linwei He, Mark A. Neerincx, Joseph Jay Williams, Nezih Younsi, Tibor Bosse, Annemiek Linn, Crystal Smit, Willem-Paul Brinkman
2024	J	`jnl`	Ratings and experiences in using a mobile application to increase physical activity among university students: implications for future design. Univers. Access Inf. Soc. Caroline A. Figueroa, Laura Gomez-Pathak, Imran Khan, Joseph Jay Williams, Courtney R. Lyles, Adrián Aguilera
2024	—	`conf`	Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses. SIGCSE (1) Angela M. Zavaleta Bernuy, Runlong Ye, Naaz Sibia, Rohita Nalluri, Joseph Jay Williams, Andrew Petersen, Eric Smith, Bogdan Simion, Michael Liut
2024	B	`conf`	Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. L@S Harsh Kumar, Ruiwei Xiao, Benjamin Lawson, Ilya Musabirov, Jiakai Shi, Xinyuan Wang, Huayin Luo, Joseph Jay Williams, Anna N. Rafferty, John C. Stamper, Michael Liut
2024	J	`jnl`	Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. CoRR Harsh Kumar, Ruiwei Xiao, Benjamin Lawson, Ilya Musabirov, Jiakai Shi, Xinyuan Wang, Huayin Luo, Joseph Jay Williams, Anna N. Rafferty, John C. Stamper, Michael Liut
2024	A*	`conf`	Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. CHI Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu, Dana Kulzhabayeva, Minyi Ma, Rachel Kornfield, Syed Ishtiaque Ahmed, Alex Mariakakis, Mary P. Czerwinski, Anastasia Kuzminykh, Michael Liut, Joseph Jay Williams
2024	A*	`conf`	Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. AAAI Harsh Kumar, Tong Li, Jiakai Shi, Ilya Musabirov, Rachel Kornfield, Jonah Meyerhoff, Ananya Bhattacharjee, Chris J. Karr, Theresa Nguyen, David C. Mohr, Anna N. Rafferty, Sofia S. Villar, Nina Deliu, Joseph Jay Williams
2023	—	`conf`	A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous Improvement. SIGCSE (2) Ilya Musabirov, Angela M. Zavaleta Bernuy, Michael Liut, Joseph Jay Williams
2023	J	`jnl`	ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. CoRR Mohi Reza, Nathan Laundry, Ilya Musabirov, Peter Dushniku, Zhi Yuan "Michael" Yu, Kashish Mittal, Tovi Grossman, Michael Liut, Anastasia Kuzminykh, Joseph Jay Williams
2023	J	`jnl`	Design Implications for One-Way Text Messaging Services that Support Psychological Wellbeing. ACM Trans. Comput. Hum. Interact. Ananya Bhattacharjee, Jiyau Pang, Angelina Liu, Alex Mariakakis, Joseph Jay Williams
2023	—	`conf`	Designing Voice Reflection for Students. SIGCSE (2) Xuening Wu, Eunchae Seong, Ananya Bhattacharjee, Dana Kulzhabayeva, Pan Chen, Joseph Jay Williams
2023	—	`conf`	Designing, Deploying, and Analyzing Adaptive Educational Field Experiments. SIGCSE (2) Joseph Jay Williams, Nathan Laundry, Ilya Musabirov, Angela M. Zavaleta Bernuy, Michael Liut
2023	—	`conf`	Do Students Read Instructor Emails? A Case Study of Intervention Email Open Rates. Koli Calling Angela M. Zavaleta Bernuy, Runlong Ye, Elexandra Tran, Naaz Sibia, Abhijoy Mandal, Hammad Shaikh, Bogdan Simion, Michael Liut, Andrew Petersen, Joseph Jay Williams
2023	A*	`conf`	Exam Eustress: Designing Brief Online Interventions for Helping Students Identify Positive Aspects of Stress. CHI Mohi Reza, Angela M. Zavaleta Bernuy, Emmy Liu, Tong Li, Zhongyuan Liang, Calista K. Barber, Joseph Jay Williams
2023	—	`conf`	Exploring The Potential of Chatbots to Provide Mental Well-being Support for Computer Science Students. SIGCSE (2) Harsh Kumar, Kunzhi Yu, Andrew Chung, Jiakai Shi, Joseph Jay Williams
2023	—	`conf`	Exploring the Use of Large Language Models for Improving the Awareness of Mindfulness. CHI Extended Abstracts Harsh Kumar, Yiyi Wang, Jiakai Shi, Ilya Musabirov, Norman A. S. Farb, Joseph Jay Williams
2023	B	`conf`	Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell, Jeremy Roschelle, Ben Motz, Danielle S. McNamara, Richard G. Baraniuk, Debshila Basu Mallick, René F. Kizilcec, Ryan Baker, Stephen Fancsali, April Murphy
2023	J	`jnl`	Getting too personal(ized): The importance of feature choice in online adaptive algorithms. CoRR ZhaoBin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty
2023	J	`jnl`	Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception. CoRR Harsh Kumar, Ilya Musabirov, Mohi Reza, Jiakai Shi, Anastasia Kuzminykh, Joseph Jay Williams, Michael Liut
2023	—	`conf`	Integrating Individual and Social Contexts into Self-Reflection Technologies. CHI Extended Abstracts Ananya Bhattacharjee, Dana Kulzhabayeva, Mohi Reza, Harsh Kumar, Eunchae Seong, Xuening Wu, Mohammad Rashidujjaman Rifat, Robert Bowman, Rachel Kornfield, Alex Mariakakis, Syed Ishtiaque Ahmed, Munmun De Choudhury, Gavin Doherty, Mary P. Czerwinski, Joseph Jay Williams
2023	—	`conf`	Investigating Subject Lines Length on Students' Email Open Rates. SIGCSE (2) Elexandra Tran, Angela M. Zavaleta Bernuy, Bogdan Simion, Michael Liut, Andrew Petersen, Joseph Jay Williams
2023	A*	`conf`	Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing. CHI Ananya Bhattacharjee, Joseph Jay Williams, Jonah Meyerhoff, Harsh Kumar, Alex Mariakakis, Rachel Kornfield
2023	J	`jnl`	Opportunities for Adaptive Experiments to Enable Continuous Improvement that Trades-off Instructor and Researcher Incentives. CoRR Ilya Musabirov, Angela M. Zavaleta Bernuy, Pan Chen, Michael Liut, Joseph Jay Williams
2023	—	`conf`	Self-Explanation Modality: Effects on Student Performance? ITiCSE (2) Angela M. Zavaleta Bernuy, Jessica Jia-Ni Xu, Naaz Sibia, Joseph Jay Williams, Andrew Petersen, Michael Liut
2023	—	`conf`	Student Usage of Q&A Forums: Signs of Discomfort? ITiCSE (1) Naaz Sibia, Angela M. Zavaleta Bernuy, Joseph Jay Williams, Michael Liut, Andrew K. Petersen
2023	J	`jnl`	Student Usage of Q&A Forums: Signs of Discomfort? CoRR Naaz Sibia, Angela M. Zavaleta Bernuy, Joseph Jay Williams, Michael Liut, Andrew Petersen
2023	J	`jnl`	The benefit of reflection prompts for encouraging learning with hints in an online programming course. Internet High. Educ. Heeryung Choi, Jelena Jovanovic, Oleksandra Poquet, Christopher Brooks, Srecko Joksimovic, Joseph Jay Williams
2023	J	`jnl`	Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. CoRR Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu, Dana Kulzhabayeva, Minyi Ma, Rachel Kornfield, Syed Ishtiaque Ahmed, Alex Mariakakis, Mary P. Czerwinski, Anastasia Kuzminykh, Michael Liut, Joseph Jay Williams
2023	—	`conf`	Using A/B Testing as a Pedagogical Tool for Iterative Design in HCI Classrooms. EduCHI Mohi Reza, Ilya Musabirov, Nathan Laundry, Michael Liut, Joseph Jay Williams
2023	J	`jnl`	Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. CoRR Harsh Kumar, Tong Li, Jiakai Shi, Ilya Musabirov, Rachel Kornfield, Jonah Meyerhoff, Ananya Bhattacharjee, Chris J. Karr, Theresa Nguyen, David C. Mohr, Anna N. Rafferty, Sofia S. Villar, Nina Deliu, Joseph Jay Williams
2023	—	`conf`	VoiceEx: Voice Submission System for Interventions in Education. ITiCSE (2) Angela M. Zavaleta Bernuy, Naaz Sibia, Pan Chen, Chloe Huang, Andrew Petersen, Joseph Jay Williams, Michael Liut
2022	J	`jnl`	"I Kind of Bounce off It": Translating Mental Health Principles into Real Life Through Story-Based Text Messages. Proc. ACM Hum. Comput. Interact. Ananya Bhattacharjee, Joseph Jay Williams, Karrie Chou, Justice Tomlinson, Jonah Meyerhoff, Alex Mariakakis, Rachel Kornfield
2022	—	`conf`	"Sounds like a Cheesy Radio Ad": Using User Perspectives for Enhancing Digital COVID Vaccine Communication Strategies for Public Health Agencies. CHI Extended Abstracts Harsh Kumar, Taneea S. Agrawaal, Kwan Kiu Choy, Jiakai Shi, Joseph Jay Williams
2022	Misc	`conf`	Behavioral Consequences of Reminder Emails on Students' Academic Performance: a Real-world Deployment. SIGITE Runlong Ye, Pan Chen, Yini Mao, Angela Wang-Lin, Hammad Shaikh, Angela M. Zavaleta Bernuy, Joseph Jay Williams
2022	J	`jnl`	Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning. CoRR Susan Athey, Undral Byambadalai, Vitor Hadad, Sanath Kumar Krishnamurthy, Weiwen Leung, Joseph Jay Williams
2022	—	`conf`	Engaging Students with Extra Tasks: Motivational Design and Student-Generated Improvements. LSGCS@L@S Ilya Musabirov, Joseph Jay Williams
2022	J	`jnl`	Experimenting with Experimentation: Rethinking The Role of Experimentation in Educational Design. CoRR Mohi Reza, Akmar Chowdhury, Aidan Li, Mahathi Gandhamaneni, Joseph Jay Williams
2022	J	`jnl`	Exploring The Design of Prompts For Applying GPT-3 based Chatbots: A Mental Wellbeing Case Study on Mechanical Turk. CoRR Harsh Kumar, Ilya Musabirov, Jiakai Shi, Adele Lauzon, Kwan Kiu Choy, Ofek Gross, Dana Kulzhabayeva, Joseph Jay Williams
2022	A	`conf`	How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. LAK Angela M. Zavaleta Bernuy, Ziwen Han, Hammad Shaikh, Qi Yin Zheng, Lisa-Angelique Lim, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
2022	J	`jnl`	How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. CoRR Angela M. Zavaleta Bernuy, Ziwen Han, Hammad Shaikh, Qi Yin Zheng, Lisa-Angelique Lim, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
2022	J	`jnl`	Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits. CoRR Fernando J. Yanez, Angela M. Zavaleta Bernuy, Ziwen Han, Michael Liut, Anna N. Rafferty, Joseph Jay Williams
2022	—	`conf`	Investigating the Impact of Voice Response Options in Surveys. SIGCSE (2) Pan Chen, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Joseph Jay Williams
2022	J	`jnl`	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. Rachel Kornfield, David C. Mohr, Rachel Ranney, Emily G. Lattie, Jonah Meyerhoff, Joseph Jay Williams, Madhu C. Reddy
2022	A*	`conf`	Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults. CHI Rachel Kornfield, Jonah Meyerhoff, Hannah Studd, Ananya Bhattacharjee, Joseph Jay Williams, Madhu C. Reddy, David C. Mohr
2022	J	`jnl`	Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions. CoRR Nina Deliu, Joseph Jay Williams, Bibhas Chakraborty
2022	B	`conf`	Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 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
2022	J	`jnl`	Using Adaptive Experiments to Rapidly Help Students. CoRR Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
2021	J	`jnl`	Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions. J. Am. Medical Informatics Assoc. Caroline A. Figueroa, Adrián Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu, Urmimala Sarkar, Joseph Jay Williams, Courtney R. Lyles
2021	J	`jnl`	Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization. CoRR Jacob Nogas, Tong Li, Fernando J. Yanez, Arghavan Modiri, Nina Deliu, Ben Prystawski, Sofia S. Villar, Anna N. Rafferty, Joseph Jay Williams
2021	J	`jnl`	Bandit algorithms to personalize educational chatbots. Mach. Learn. William Cai, Josh Grossman, Zhiyuan (Jerry) Lin, Hao Sheng, Johnny Tian-Zheng Wei, Joseph Jay Williams, Sharad Goel
2021	J	`jnl`	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. Kexin Bella Yang, Tomohiro Nagashima, Junhui Yao, Joseph Jay Williams, Kenneth Holstein, Vincent Aleven
2021	J	`jnl`	Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments. CoRR Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia S. Villar, Audrey Durand, Anna N. Rafferty
2021	J	`jnl`	Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling. CoRR Nina Deliu, Joseph Jay Williams, Sofia S. Villar
2021	B	`conf`	Exploring Additional Personalized Support While Attempting Exercise Problems in Online Learning Platforms. L@S Yuya Asano, Madhurima Dutta, Trisha Thakur, Jaemarie Solyst, Stephanie Cristea, Helena Jovic, Andrew Petersen, Joseph Jay Williams
2021	B	`conf`	Exploring Design Choices in Data-driven Hints for Python Programming Homework. L@S Thomas W. Price, Samiha Marwan, Joseph Jay Williams
2021	A	`conf`	Investigating the Impact of Online Homework Reminders Using Randomized A/B Comparisons. SIGCSE Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Andrew Petersen, Joseph Jay Williams
2021	A	`conf`	Procrastination and Gaming in an Online Homework System of an Inverted CS1. SIGCSE Jaemarie Solyst, Trisha Thakur, Madhurima Dutta, Yuya Asano, Andrew Petersen, Joseph Jay Williams
2021	B	`conf`	Second Workshop on Educational A/B Testing at Scale. L@S Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell
2021	B	`conf`	The MOOClet Framework: Unifying Experimentation, Dynamic Improvement, and Personalization in Online Courses. L@S Mohi Reza, Juho Kim, Ananya Bhattacharjee, Anna N. Rafferty, Joseph Jay Williams
2021	J	`jnl`	Understanding User Perspectives on Prompts for Brief Reflection on Troubling Emotions. CoRR Ananya Bhattacharjee, Pan Chen, Linjia Zhou, Abhijoy Mandal, Jai Aggarwal, Katie O'Leary, Anne Hsu, Alex Mariakakis, Joseph Jay Williams
2021	—	`conf`	Using Adaptive Experiments to Rapidly Help Students. AIED (2) Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
2020	—	`conf`	An Evaluation of Data-Driven Programming Hints in a Classroom Setting. AIED (2) Thomas W. Price, Samiha Marwan, Michael Winters, Joseph Jay Williams
2020	Misc	`conf`	Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones. AMIA Caroline A. Figueroa, Adrián Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu, Urmimala Sarkar, Joseph Jay Williams, Courtney R. Lyles
2020	A	`conf`	Characterizing and influencing students' tendency to write self-explanations in online homework. LAK Yuya Asano, Jaemarie Solyst, Joseph Jay Williams
2020	A*	`conf`	Engaging Students with Instructor Solutions in Online Programming Homework. CHI Thomas W. Price, Joseph Jay Williams, Jaemarie Solyst, Samiha Marwan
2020	B	`conf`	Getting too personal(ized): The importance of feature choice in online adaptive algorithms. EDM ZhaoBin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty
2020	—	`conf`	Improving Short and Long-term Learning in an Online Homework System. CSEDM@EDM Ben Prystawski, Jacob Nogas, Andrew Petersen, Joseph Jay Williams
2020	J	`jnl`	Learning and education in HCI: a reflection on the SIG at CHI 2019. Interactions Viktoria Pammer-Schindler, Erik Harpstead, Benjamin Xie, Betsy DiSalvo, Ahmed Kharrufa, Petr Slovák, Amy Ogan, Joseph Jay Williams, Michael Jongseon Lee
2020	J	`jnl`	Sequential Explanations with Mental Model-Based Policies. CoRR Arnold Y. S. Yeung, Shalmali Joshi, Joseph Jay Williams, Frank Rudzicz
2020	A*	`conf`	SleepBandits: Guided Flexible Self-Experiments for Sleep. CHI Nediyana Daskalova, Jina Aris Yoon, Yibing Wang, Cintia Araújo, Guillermo Beltrán, Nicole Nugent, John McGeary, Joseph Jay Williams, Jeff Huang
2020	B	`conf`	Using Information Visualization to Promote Students' Reflection on "Gaming the System" in Online Learning. L@S Meng Xia, Yuya Asano, Joseph Jay Williams, Huamin Qu, Xiaojuan Ma
2020	B	`conf`	Workshop Proposal: Educational A/B Testing at Scale. L@S Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Burr Settles, Phillip Grimaldi, Derek Lomas
2019	A	`conf`	An Evaluation of the Impact of Automated Programming Hints on Performance and Learning. ICER Samiha Marwan, Joseph Jay Williams, Thomas W. Price
2019	B	`conf`	Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments. EDM Hammad Shaikh, Arghavan Modiri, Joseph Jay Williams, Anna N. Rafferty
2019	—	`conf`	Experience Report: Mini Guest Lectures in a CS1 Course via Video Conferencing. CompEd Lisa Zhang, Michelle Craig, Mark Kazakevich, Joseph Jay Williams
2019	A*	`conf`	Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. IJCAI Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum
2019	—	`conf`	Learning, Education, and HCI. CHI Extended Abstracts Benjamin Xie, Erik Harpstead, Betsy DiSalvo, Petr Slovák, Ahmed Kharrufa, Michael Jongseon Lee, Viktoria Pammer-Schindler, Amy Ogan, Joseph Jay Williams
2019	—	`conf`	NoteStruct: Scaffolding Note-taking while Learning from Online Videos. CHI Extended Abstracts Ching (Jean) Liu, Chi-Lan Yang, Joseph Jay Williams, Hao-Chuan Wang
2019	J	`jnl`	RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities. CoRR Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams
2019	J	`jnl`	RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities. J. Learn. Anal. Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams
2019	B	`conf`	The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment. ITiCSE Samiha Marwan, Nicholas Lytle, Joseph Jay Williams, Thomas W. Price
2019	—	`conf`	Understanding and Correcting Inaccurate Calorie Estimations on Amazon Mechanical Turk. CHI Extended Abstracts Lillio Mok, Brenna Li, Stephen Gou, Joseph Jay Williams
2018	—	`conf`	Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power. AIED (2) Anna N. Rafferty, Huiji Ying, Joseph Jay Williams
2018	—	`conf`	Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content. AIED (2) Avi Segal, Yossi Ben David, Joseph Jay Williams, Kobi Gal, Yaar Shalom
2018	J	`jnl`	Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content. CoRR Avi Segal, Yossi Ben David, Joseph Jay Williams, Kobi Gal, Yaar Shalom
2018	—	`conf`	Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. ICLS Shayan Doroudi, Joseph Jay Williams, Juho Kim, Thanaporn Patikorn, Korinn Ostrow, Douglas Selent, Neil T. Heffernan, Thomas T. Hills, Carolyn P. Rosé
2018	A*	`conf`	Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments. CHI Joseph Jay Williams, Anna N. Rafferty, Dustin Tingley, Andrew M. Ang, Walter S. Lasecki, Juho Kim
2018	A*	`conf`	Harvesting Caregiving Knowledge: Design Considerations for Integrating Volunteer Input in Dementia Care. CHI Pin Sym Foong, Shengdong Zhao, Felicia Tan, Joseph Jay Williams
2018	—	`conf`	Increasing Response Rates to Email Surveys in MOOCs. UMAP (Adjunct Publication) Dan Ding, Oleksandra Poquet, Joseph Jay Williams, Radhika Nikam, Samuel Rhys Cox
2018	—	`conf`	Revising Biology Misconceptions Using Retrieval Practice and Explanation Prompts. ICLS Merrin Oliver, Maggie Renken, Joseph Jay Williams
2018	A*	`conf`	Understanding the Effect of In-Video Prompting on Learners and Instructors. CHI Hyungyu Shin, Eun-Young Ko, Joseph Jay Williams, Juho Kim
2017	—	`conf`	Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation. CHI Extended Abstracts Joseph Jay Williams, Anna N. Rafferty, Andrew M. Ang, Dustin Tingley, Walter S. Lasecki, Juho Kim
2017	A	`conf`	Educational Question Routing in Online Student Communities. RecSys Jakub Macina, Ivan Srba, Joseph Jay Williams, Mária Bieliková
2017	B	`conf`	MOOClets: A Framework for Dynamic Experimentation and Personalization. L@S Joseph Jay Williams, Anna N. Rafferty, Samuel G. Maldonado, Andrew M. Ang, Dustin Tingley, Juho Kim
2016	B	`conf`	AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. L@S Joseph Jay Williams, Juho Kim, Anna N. Rafferty, Samuel G. Maldonado, Krzysztof Z. Gajos, Walter S. Lasecki, Neil T. Heffernan
2016	—	`conf`	Combining Dynamic A/B Experimentation and Recommender Systems in MOOCs. RecSys Posters Joseph Jay Williams, Luong Hoang
2016	—	`conf`	Connecting Online Work and Online Education at Scale. CHI Extended Abstracts Markus Krause, Margeret Hall, Joseph Jay Williams, Praveen K. Paritosh, John Pripc, Simon Caton
2016	B	`conf`	Discovering 'Tough Love' Interventions Despite Dropout. EDM Joseph Jay Williams, Anthony Botelho, Adam Sales, Neil T. Heffernan, Charles Lang
2016	A*	`conf`	Revising Learner Misconceptions Without Feedback: Prompting for Reflection on Anomalies. CHI Joseph Jay Williams, Tania Lombrozo, Anne Hsu, Bernd Huber, Juho Kim
2016	J	`jnl`	The Future of Adaptive Learning: Does the Crowd Hold the Key? Int. J. Artif. Intell. Educ. Neil T. Heffernan, Korinn S. Ostrow, Kim M. Kelly, Douglas Selent, Eric Van Inwegen, Xiaolu Xiong, Joseph Jay Williams
2016	A	`conf`	The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment. LAK Korinn S. Ostrow, Douglas Selent, Yan Wang, Eric Van Inwegen, Neil T. Heffernan, Joseph Jay Williams
2015	—	`conf`	A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons. UMAP Workshops Joseph Jay Williams, Neil T. Heffernan
2015	J	`jnl`	A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons. CoRR Joseph Jay Williams, Neil T. Heffernan
2015	B	`conf`	A Playful Game Changer: Fostering Student Retention in Online Education with Social Gamification. L@S Markus Krause, Marc Mogalle, Henning Pohl, Joseph Jay Williams
2015	B	`conf`	Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out. EDM Jacob Whitehill, Joseph Jay Williams, Glenn Lopez, Cody A. Coleman, Justin Reich
2015	J	`jnl`	Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs. J. Learn. Anal. Yohsuke Roy Miyamoto, Cody A. Coleman, Joseph Jay Williams, Jacob Whitehill, Sergiy O. Nesterko, Justin Reich
2015	—	`conf`	Connecting Collaborative & Crowd Work with Online Education. CSCW Companion Joseph Jay Williams, Markus Krause, Praveen K. Paritosh, Jacob Whitehill, Justin Reich, Juho Kim, Piotr Mitros, Neil T. Heffernan, Brian C. Keegan
2015	B	`conf`	Supporting Instructors in Collaborating with Researchers using MOOClets. L@S Joseph Jay Williams, Juho Kim, Brian Keegan
2015	J	`jnl`	Supporting Instructors in Collaborating with Researchers using MOOClets. CoRR Joseph Jay Williams, Juho Kim, Brian C. Keegan
2015	J	`jnl`	Using and Designing Platforms for In Vivo Education Experiments. CoRR Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan
2015	B	`conf`	Using and Designing Platforms for In Vivo Educational Experiments. L@S Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan
2014	B	`conf`	Effects of Comparison and Explanation on Analogical Transfer. CogSci Brian J. Edwards, Joseph Jay Williams, Dedre Gentner, Tania Lombrozo
2014	—	`conf`	Learning innovation at scale. CHI Extended Abstracts Joseph Jay Williams, René F. Kizilcec, Daniel M. Russell, Scott R. Klemmer
2014	—	`conf`	Learning online via prompts to explain. CHI Extended Abstracts Joseph Jay Williams, Geza Kovacs, Caren M. Walker, Samuel G. Maldonado, Tania Lombrozo
2014	—	`conf`	Online A/B tests & experiments: a practical but scientifically informed introduction. CHI Extended Abstracts Joseph Jay Williams, Betsy Anne Williams
2013	B	`conf`	Effects of Explaining Anomalies on the Generation and Evaluation of Hypotheses. CogSci Joseph Jay Williams, Caren M. Walker, Samuel G. Maldonado, Tania Lombrozo
2013	B	`conf`	Effects of Explanation and Comparison on Category Learning. CogSci Brian J. Edwards, Joseph Jay Williams, Tania Lombrozo
2013	A	`conf`	Evaluating computational models of explanation using human judgments. UAI Michael Pacer, Joseph Jay Williams, Xi Chen, Tania Lombrozo, Thomas L. Griffiths
2013	J	`jnl`	Evaluating computational models of explanation using human judgments. CoRR Michael Pacer, Joseph Jay Williams, Xi Chen, Tania Lombrozo, Thomas L. Griffiths
2013	—	`conf`	Improving learning in MOOCs with Cognitive Science. AIED Workshops Joseph Jay Williams
2013	—	`conf`	Measurably Increasing Motivation in MOOCs. AIED Workshops Joseph Jay Williams, Dave Paunesku, Benjamin Heley, Jascha Sohl-Dickstein
2013	B	`conf`	Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice. CogSci Joseph Jay Williams, Alexander Renkl, Kenneth R. Koedinger, John C. Stamper
2013	—	`conf`	Providing implicit formative feedback to learners by combining self-generated and instructional explanations. AIED Workshops Joseph Jay Williams, Helen Poldsam
2012	B	`conf`	Explaining Influences Children's Reliance on Evidence and Prior Knowledge in Causal Induction. CogSci Caren M. Walker, Joseph Jay Williams, Tania Lombrozo, Alison Gopnik
2012	B	`conf`	Explaining increases belief revision in the face of (many) anomalies. CogSci Joseph Jay Williams, Caren M. Walker, Tania Lombrozo
2011	B	`conf`	Explaining drives the discovery of real and illusory patterns. CogSci Joseph Jay Williams, Tania Lombrozo, Bob Rehder
2011	B	`conf`	Explanation-based Mechanisms for Learning: An Interdisciplinary Approach. CogSci Michelene T. H. Chi, Gerald DeJong, Cristine H. Legare, Tania Lombrozo, Joseph Jay Williams
2010	J	`jnl`	The Role of Explanation in Discovery and Generalization: Evidence From Category Learning. Cogn. Sci. Joseph Jay Williams, Tania Lombrozo
2010	—	`conf`	The role of explanation in discovery and generalization: evidence from category learning. ICLS Joseph Jay Williams, Tania Lombrozo
2008	—	`conf`	Modeling human function learning with Gaussian processes. NIPS Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams, Michael L. Kalish