Modeling human function learning with Gaussian processes. - Thomas L. Griffiths 001; Christopher G. Lucas; Joseph Jay Williams; Michael L. Kalish (NIPS, 2008)

The Role of Explanation in Discovery and Generalization: Evidence From Category Learning. - Joseph Jay Williams; Tania Lombrozo (Cogn. Sci., 2010)

Explanation-based Mechanisms for Learning: An Interdisciplinary Approach. - Michelene T. H. Chi; Gerald DeJong; Cristine H. Legare; Tania Lombrozo; Joseph Jay Williams (CogSci, 2011)

Explaining drives the discovery of real and illusory patterns. - Joseph Jay Williams; Tania Lombrozo; Bob Rehder (CogSci, 2011)

Explaining Influences Children's Reliance on Evidence and Prior Knowledge in Causal Induction. - Caren M. Walker; Joseph Jay Williams; Tania Lombrozo; Alison Gopnik (CogSci, 2012)

Explaining increases belief revision in the face of (many) anomalies. - Joseph Jay Williams; Caren M. Walker; Tania Lombrozo (CogSci, 2012)

Improving learning in MOOCs with Cognitive Science. - Joseph Jay Williams (AIED Workshops, 2013)

Providing implicit formative feedback to learners by combining self-generated and instructional explanations. - Joseph Jay Williams; Helen Poldsam (AIED Workshops, 2013)

Measurably Increasing Motivation in MOOCs. - Joseph Jay Williams; Dave Paunesku; Benjamin Heley; Jascha Sohl-Dickstein (AIED Workshops, 2013)

Effects of Explanation and Comparison on Category Learning. - Brian J. Edwards; Joseph Jay Williams; Tania Lombrozo (CogSci, 2013)

Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice. - Joseph Jay Williams; Alexander Renkl; Kenneth R. Koedinger; John C. Stamper (CogSci, 2013)

Effects of Explaining Anomalies on the Generation and Evaluation of Hypotheses. - Joseph Jay Williams; Caren M. Walker; Samuel G. Maldonado; Tania Lombrozo (CogSci, 2013)

Evaluating computational models of explanation using human judgments. - Michael Pacer; Joseph Jay Williams; Xi Chen; Tania Lombrozo; Thomas L. Griffiths 001 (UAI, 2013)

Learning innovation at scale. - Joseph Jay Williams; René F. Kizilcec; Daniel M. Russell; Scott R. Klemmer (CHI Extended Abstracts, 2014)

Learning online via prompts to explain. - Joseph Jay Williams; Geza Kovacs; Caren M. Walker; Samuel G. Maldonado; Tania Lombrozo (CHI Extended Abstracts, 2014)

Online A/B tests & experiments: a practical but scientifically informed introduction. - Joseph Jay Williams; Betsy Anne Williams (CHI Extended Abstracts, 2014)

Effects of Comparison and Explanation on Analogical Transfer. - Brian J. Edwards; Joseph Jay Williams; Dedre Gentner; Tania Lombrozo (CogSci, 2014)

Connecting Collaborative & Crowd Work with Online Education. - Joseph Jay Williams; Markus Krause; Praveen K. Paritosh; Jacob Whitehill; Justin Reich; Juho Kim 001; Piotr Mitros; Neil T. Heffernan; Brian C. Keegan (CSCW Companion, 2015)

Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out. - Jacob Whitehill; Joseph Jay Williams; Glenn Lopez; Cody A. Coleman; Justin Reich (EDM, 2015)

A Playful Game Changer: Fostering Student Retention in Online Education with Social Gamification. - Markus Krause; Marc Mogalle; Henning Pohl; Joseph Jay Williams (L@S, 2015)

Supporting Instructors in Collaborating with Researchers using MOOClets. - Joseph Jay Williams; Juho Kim 001; Brian Keegan (L@S, 2015)

Using and Designing Platforms for In Vivo Educational Experiments. - Joseph Jay Williams; Korinn Ostrow; Xiaolu Xiong; Elena L. Glassman; Juho Kim 001; Samuel G. Maldonado; Na Li 002; Justin Reich; Neil T. Heffernan (L@S, 2015)

A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons. - Joseph Jay Williams; Neil T. Heffernan (UMAP Workshops, 2015)

Using and Designing Platforms for In Vivo Education Experiments. - Joseph Jay Williams; Korinn Ostrow; Xiaolu Xiong; Elena L. Glassman; Juho Kim 001; Samuel G. Maldonado; Na Li 002; Justin Reich; Neil T. Heffernan (CoRR, 2015)

Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs. - Yohsuke Roy Miyamoto; Cody A. Coleman; Joseph Jay Williams; Jacob Whitehill; Sergiy O. Nesterko; Justin Reich (J. Learn. Anal., 2015)

Connecting Online Work and Online Education at Scale. - Markus Krause; Margeret Hall; Joseph Jay Williams; Praveen K. Paritosh; John Prip; Simon Caton (CHI Extended Abstracts, 2016)

Revising Learner Misconceptions Without Feedback: Prompting for Reflection on Anomalies. - Joseph Jay Williams; Tania Lombrozo; Anne Hsu; Bernd Huber; Juho Kim 001 (CHI, 2016)

Discovering 'Tough Love' Interventions Despite Dropout. - Joseph Jay Williams; Anthony Botelho; Adam Sales; Neil T. Heffernan; Charles Lang (EDM, 2016)

The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment. - Korinn S. Ostrow; Douglas Selent; Yan Wang 005; Eric Van Inwegen; Neil T. Heffernan; Joseph Jay Williams (LAK, 2016)

AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. - Joseph Jay Williams; Juho Kim 001; Anna N. Rafferty; Samuel G. Maldonado; Krzysztof Z. Gajos; Walter S. Lasecki; Neil T. Heffernan (L@S, 2016)

Combining Dynamic A/B Experimentation and Recommender Systems in MOOCs. - Joseph Jay Williams; Luong Hoang (RecSys Posters, 2016)

The Future of Adaptive Learning: Does the Crowd Hold the Key? - Neil T. Heffernan; Korinn S. Ostrow; Kim M. Kelly; Douglas Selent; Eric Van Inwegen; Xiaolu Xiong; Joseph Jay Williams (Int. J. Artif. Intell. Educ., 2016)

Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation. - Joseph Jay Williams; Anna N. Rafferty; Andrew M. Ang; Dustin Tingley; Walter S. Lasecki; Juho Kim 001 (CHI Extended Abstracts, 2017)

MOOClets: A Framework for Dynamic Experimentation and Personalization. - Joseph Jay Williams; Anna N. Rafferty; Samuel G. Maldonado; Andrew M. Ang; Dustin Tingley; Juho Kim 001 (L@S, 2017)

Educational Question Routing in Online Student Communities. - Jakub Macina; Ivan Srba; Joseph Jay Williams; Mária Bieliková (RecSys, 2017)

Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power. - Anna N. Rafferty; Huiji Ying; Joseph Jay Williams (AIED (2), 2018)

Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content. - Avi Segal; Yossi Ben David; Joseph Jay Williams; Kobi Gal; Yaar Shalom (AIED (2), 2018)

Harvesting Caregiving Knowledge: Design Considerations for Integrating Volunteer Input in Dementia Care. - Pin Sym Foong; Shengdong Zhao 001; Felicia Tan 002; Joseph Jay Williams (CHI, 2018)

Understanding the Effect of In-Video Prompting on Learners and Instructors. - Hyungyu Shin; Eun-Young Ko; Joseph Jay Williams; Juho Kim 001 (CHI, 2018)

Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments. - Joseph Jay Williams; Anna N. Rafferty; Dustin Tingley; Andrew M. Ang; Walter S. Lasecki; Juho Kim 001 (CHI, 2018)

Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. - Shayan Doroudi; Joseph Jay Williams; Juho Kim 001; Thanaporn Patikorn; Korinn Ostrow; Douglas Selent; Neil T. Heffernan; Thomas T. Hills; Carolyn P. Rosé (ICLS, 2018)

Revising Biology Misconceptions Using Retrieval Practice and Explanation Prompts. - Merrin Oliver; Maggie Renken; Joseph Jay Williams (ICLS, 2018)

Increasing Response Rates to Email Surveys in MOOCs. - Dan Ding; Oleksandra Poquet; Joseph Jay Williams; Radhika Nikam; Samuel Rhys Cox (UMAP (Adjunct Publication), 2018)

NoteStruct: Scaffolding Note-taking while Learning from Online Videos. - Ching (Jean) Liu; Chi-Lan Yang; Joseph Jay Williams; Hao-Chuan Wang (CHI Extended Abstracts, 2019)

Understanding and Correcting Inaccurate Calorie Estimations on Amazon Mechanical Turk. - Lillio Mok; Brenna Li; Stephen Gou; Joseph Jay Williams (CHI Extended Abstracts, 2019)

Learning, Education, and HCI. - Benjamin Xie; Erik Harpstead; Betsy DiSalvo; Petr Slovák; Ahmed Kharrufa; Michael Jongseon Lee; Viktoria Pammer-Schindler; Amy Ogan; Joseph Jay Williams (CHI Extended Abstracts, 2019)

Experience Report: Mini Guest Lectures in a CS1 Course via Video Conferencing. - Lisa Zhang; Michelle Craig; Mark Kazakevich; Joseph Jay Williams (CompEd, 2019)

Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments. - Hammad Shaikh; Arghavan Modiri; Joseph Jay Williams; Anna N. Rafferty (EDM, 2019)

An Evaluation of the Impact of Automated Programming Hints on Performance and Learning. - Samiha Marwan; Joseph Jay Williams; Thomas W. Price (ICER, 2019)

Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. - Nirandika Wanigasekara; Yuxuan Liang; Siong Thye Goh; Ye Liu 002; Joseph Jay Williams; David S. Rosenblum (IJCAI, 2019)

The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment. - Samiha Marwan; Nicholas Lytle; Joseph Jay Williams; Thomas W. Price (ITiCSE, 2019)

RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities. - Hassan Khosravi; Kirsty Kitto; Joseph Jay Williams (J. Learn. Anal., 2019)

An Evaluation of Data-Driven Programming Hints in a Classroom Setting. - Thomas W. Price; Samiha Marwan; Michael Winters; Joseph Jay Williams (AIED (2), 2020)

Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones. - Caroline A. Figueroa; Adrián Aguilera; Bibhas Chakraborty; Arghavan Modiri; Jai Aggarwal; Nina Deliu; Urmimala Sarkar; Joseph Jay Williams; Courtney R. Lyles (AMIA, 2020)

SleepBandits: Guided Flexible Self-Experiments for Sleep. - Nediyana Daskalova; Jina Aris Yoon; Yibing Wang; Cintia Araújo; Guillermo Beltrán; Nicole Nugent; John McGeary; Joseph Jay Williams; Jeff Huang 002 (CHI, 2020)

Engaging Students with Instructor Solutions in Online Programming Homework. - Thomas W. Price; Joseph Jay Williams; Jaemarie Solyst; Samiha Marwan (CHI, 2020)

Getting too personal(ized): The importance of feature choice in online adaptive algorithms. - Zhaobin Li; Luna Yee; Nathaniel Sauerberg; Irene Sakson; Joseph Jay Williams; Anna N. Rafferty (EDM, 2020)

Improving Short and Long-term Learning in an Online Homework System. - Ben Prystawski; Jacob Nogas; Andrew Petersen 001; Joseph Jay Williams (CSEDM@EDM, 2020)

Characterizing and influencing students' tendency to write self-explanations in online homework. - Yuya Asano; Jaemarie Solyst; Joseph Jay Williams (LAK, 2020)

Workshop Proposal: Educational A/B Testing at Scale. - Steven Ritter 001; Neil T. Heffernan; Joseph Jay Williams; Burr Settles; Phillip Grimaldi; Derek Lomas (L@S, 2020)

Using Information Visualization to Promote Students' Reflection on "Gaming the System" in Online Learning. - Meng Xia 002; Yuya Asano; Joseph Jay Williams; Huamin Qu; Xiaojuan Ma (L@S, 2020)

Sequential Explanations with Mental Model-Based Policies. - Arnold Y. S. Yeung; Shalmali Joshi; Joseph Jay Williams; Frank Rudzicz (CoRR, 2020)

Learning and education in HCI: a reflection on the SIG at CHI 2019. - Viktoria Pammer-Schindler; Erik Harpstead; Benjamin Xie; Betsy DiSalvo; Ahmed Kharrufa; Petr Slovák; Amy Ogan; Joseph Jay Williams; Michael Jongseon Lee (Interactions, 2020)

Using Adaptive Experiments to Rapidly Help Students. - Angela M. Zavaleta Bernuy; Qi Yin Zheng; Hammad Shaikh; Jacob Nogas; Anna N. Rafferty; Andrew Petersen 001; Joseph Jay Williams (AIED (2), 2021)

Exploring Additional Personalized Support While Attempting Exercise Problems in Online Learning Platforms. - Yuya Asano; Madhurima Dutta; Trisha Thakur; Jaemarie Solyst; Stephanie Cristea; Helena Jovic; Andrew Petersen 001; Joseph Jay Williams (L@S, 2021)

Exploring Design Choices in Data-driven Hints for Python Programming Homework. - Thomas W. Price; Samiha Marwan; Joseph Jay Williams (L@S, 2021)

The MOOClet Framework: Unifying Experimentation, Dynamic Improvement, and Personalization in Online Courses. - Mohi Reza; Juho Kim 001; Ananya Bhattacharjee; Anna N. Rafferty; Joseph Jay Williams (L@S, 2021)

Second Workshop on Educational A/B Testing at Scale. - Steven Ritter 001; Neil T. Heffernan; Joseph Jay Williams; Derek Lomas; Klinton Bicknell (L@S, 2021)

Investigating the Impact of Online Homework Reminders Using Randomized A/B Comparisons. - Angela M. Zavaleta Bernuy; Qi Yin Zheng; Hammad Shaikh; Andrew Petersen 001; Joseph Jay Williams (SIGCSE, 2021)

Procrastination and Gaming in an Online Homework System of an Inverted CS1. - Jaemarie Solyst; Trisha Thakur; Madhurima Dutta; Yuya Asano; Andrew Petersen 001; Joseph Jay Williams (SIGCSE, 2021)

Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments. - Joseph Jay Williams; Jacob Nogas; Nina Deliu; Hammad Shaikh; Sofia S. Villar; Audrey Durand; Anna N. Rafferty (CoRR, 2021)

Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling. - Nina Deliu; Joseph Jay Williams; Sofia S. Villar (CoRR, 2021)

Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization. - Jacob Nogas; Tong Li; Fernando J. Yanez; Arghavan Modiri; Nina Deliu; Ben Prystawski; Sofia S. Villar; Anna N. Rafferty; Joseph Jay Williams (CoRR, 2021)

Understanding User Perspectives on Prompts for Brief Reflection on Troubling Emotions. - Ananya Bhattacharjee; Pan Chen; Linjia Zhou; Abhijoy Mandal; Jai Aggarwal; Katie O'Leary; Anne Hsu; Alex Mariakakis; Joseph Jay Williams (CoRR, 2021)

Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions. - Caroline A. Figueroa; Adrián Aguilera; Bibhas Chakraborty; Arghavan Modiri; Jai Aggarwal; Nina Deliu; Urmimala Sarkar; Joseph Jay Williams; Courtney R. Lyles (J. Am. Medical Informatics Assoc., 2021)

Bandit algorithms to personalize educational chatbots. - William Cai; Josh Grossman; Zhiyuan (Jerry) Lin; Hao Sheng 003; Johnny Tian-Zheng Wei; Joseph Jay Williams; Sharad Goel (Mach. Learn., 2021)

Can Crowds Customize Instructional Materials with Minimal Expert Guidance?: Exploring Teacher-guided Crowdsourcing for Improving Hints in an AI-based Tutor. - Kexin Bella Yang; Tomohiro Nagashima; Junhui Yao; Joseph Jay Williams; Kenneth Holstein; Vincent Aleven (Proc. ACM Hum. Comput. Interact., 2021)

Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults. - Rachel Kornfield; Jonah Meyerhoff; Hannah Studd; Ananya Bhattacharjee; Joseph Jay Williams; Madhu C. Reddy; David C. Mohr (CHI, 2022)

"Sounds like a Cheesy Radio Ad": Using User Perspectives for Enhancing Digital COVID Vaccine Communication Strategies for Public Health Agencies. - Harsh Kumar; Taneea S. Agrawaal; Kwan Kiu Choy; Jiakai Shi; Joseph Jay Williams (CHI Extended Abstracts, 2022)

How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. - Angela M. Zavaleta Bernuy; Ziwen Han; Hammad Shaikh; Qi Yin Zheng; Lisa-Angelique Lim; Anna N. Rafferty; Andrew Petersen 001; Joseph Jay Williams (LAK, 2022)

Engaging Students with Extra Tasks: Motivational Design and Student-Generated Improvements. - Ilya Musabirov; Joseph Jay Williams (LSGCS@L@S, 2022)

Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research. - Steven Ritter 001; 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 001 (L@S, 2022)

Investigating the Impact of Voice Response Options in Surveys. - Pan Chen; Naaz Sibia; Angela M. Zavaleta Bernuy; Michael Liut; Joseph Jay Williams (SIGCSE (2), 2022)

Behavioral Consequences of Reminder Emails on Students' Academic Performance: a Real-world Deployment. - Runlong Ye 002; Pan Chen; Yini Mao; Angela Wang-Lin; Hammad Shaikh; Angela M. Zavaleta Bernuy; Joseph Jay Williams (SIGITE, 2022)

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions. - Nina Deliu; Joseph Jay Williams; Bibhas Chakraborty (CoRR, 2022)

Experimenting with Experimentation: Rethinking The Role of Experimentation in Educational Design. - Mohi Reza; Akmar Chowdhury; Aidan Li 002; Mahathi Gandhamaneni; Joseph Jay Williams (CoRR, 2022)

Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits. - Fernando J. Yanez; Angela M. Zavaleta Bernuy; Ziwen Han; Michael Liut; Anna N. Rafferty; Joseph Jay Williams (CoRR, 2022)

Exploring The Design of Prompts For Applying GPT-3 based Chatbots: A Mental Wellbeing Case Study on Mechanical Turk. - Harsh Kumar; Ilya Musabirov; Jiakai Shi; Adele Lauzon; Kwan Kiu Choy; Ofek Gross; Dana Kulzhabayeva; Joseph Jay Williams (CoRR, 2022)

Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning. - Susan Athey; Undral Byambadalai; Vitor Hadad; Sanath Kumar Krishnamurthy; Weiwen Leung; Joseph Jay Williams (CoRR, 2022)

"I Kind of Bounce off It": Translating Mental Health Principles into Real Life Through Story-Based Text Messages. - Ananya Bhattacharjee; Joseph Jay Williams; Karrie Chou; Justice Tomlinson; Jonah Meyerhoff; Alex Mariakakis; Rachel Kornfield (Proc. ACM Hum. Comput. Interact., 2022)

Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages. - Rachel Kornfield; David C. Mohr; Rachel Ranney; Emily G. Lattie; Jonah Meyerhoff; Joseph Jay Williams; Madhu C. Reddy (Proc. ACM Hum. Comput. Interact., 2022)

Integrating Individual and Social Contexts into Self-Reflection Technologies. - 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; et al. (CHI Extended Abstracts, 2023)

Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing. - Ananya Bhattacharjee; Joseph Jay Williams; Jonah Meyerhoff; Harsh Kumar; Alex Mariakakis; Rachel Kornfield (CHI, 2023)

Exploring the Use of Large Language Models for Improving the Awareness of Mindfulness. - Harsh Kumar; Yiyi Wang; Jiakai Shi; Ilya Musabirov; Norman A. S. Farb; Joseph Jay Williams (CHI Extended Abstracts, 2023)

Exam Eustress: Designing Brief Online Interventions for Helping Students Identify Positive Aspects of Stress. - Mohi Reza; Angela M. Zavaleta Bernuy; Emmy Liu; Tong Li; Zhongyuan Liang; Calista K. Barber; Joseph Jay Williams (CHI, 2023)

Using A/B Testing as a Pedagogical Tool for Iterative Design in HCI Classrooms. - Mohi Reza; Ilya Musabirov; Nathan Laundry; Michael Liut; Joseph Jay Williams (EduCHI, 2023)

VoiceEx: Voice Submission System for Interventions in Education. - Angela M. Zavaleta Bernuy; Naaz Sibia; Pan Chen; Chloe Huang; Andrew Petersen 001; Joseph Jay Williams; Michael Liut (ITiCSE (2), 2023)

Self-Explanation Modality: Effects on Student Performance? - Angela M. Zavaleta Bernuy; Jessica Jia-Ni Xu; Naaz Sibia; Joseph Jay Williams; Andrew Petersen 001; Michael Liut (ITiCSE (2), 2023)

Student Usage of Q&A Forums: Signs of Discomfort? - Naaz Sibia; Angela M. Zavaleta Bernuy; Joseph Jay Williams; Michael Liut; Andrew K. Petersen (ITiCSE (1), 2023)

Do Students Read Instructor Emails? A Case Study of Intervention Email Open Rates. - Angela M. Zavaleta Bernuy; Runlong Ye 002; Elexandra Tran; Naaz Sibia; Abhijoy Mandal; Hammad Shaikh; Bogdan Simion; Michael Liut; Andrew Petersen 001; Joseph Jay Williams (Koli Calling, 2023)

Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. - Steven Ritter 001; 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 001; et al. (L@S, 2023)

Exploring The Potential of Chatbots to Provide Mental Well-being Support for Computer Science Students. - Harsh Kumar; Kunzhi Yu; Andrew Chung; Jiakai Shi; Joseph Jay Williams (SIGCSE (2), 2023)

A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous Improvement. - Ilya Musabirov; Angela M. Zavaleta Bernuy; Michael Liut; Joseph Jay Williams (SIGCSE (2), 2023)

Investigating Subject Lines Length on Students' Email Open Rates. - Elexandra Tran; Angela M. Zavaleta Bernuy; Bogdan Simion; Michael Liut; Andrew Petersen 001; Joseph Jay Williams (SIGCSE (2), 2023)

Designing, Deploying, and Analyzing Adaptive Educational Field Experiments. - Joseph Jay Williams; Nathan Laundry; Ilya Musabirov; Angela M. Zavaleta Bernuy; Michael Liut (SIGCSE (2), 2023)

Designing Voice Reflection for Students. - Xuening Wu; Eunchae Seong; Ananya Bhattacharjee; Dana Kulzhabayeva; Pan Chen; Joseph Jay Williams (SIGCSE (2), 2023)

ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. - Mohi Reza; Nathan Laundry; Ilya Musabirov; Peter Dushniku; Zhi Yuan "Michael" Yu; Kashish Mittal; Tovi Grossman; Michael Liut; Anastasia Kuzminykh; Joseph Jay Williams (CoRR, 2023)

Opportunities for Adaptive Experiments to Enable Continuous Improvement that Trades-off Instructor and Researcher Incentives. - Ilya Musabirov; Angela M. Zavaleta Bernuy; Pan Chen; Michael Liut; Joseph Jay Williams (CoRR, 2023)

Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception. - Harsh Kumar; Ilya Musabirov; Mohi Reza; Jiakai Shi; Anastasia Kuzminykh; Joseph Jay Williams; Michael Liut (CoRR, 2023)

Design Implications for One-Way Text Messaging Services that Support Psychological Wellbeing. - Ananya Bhattacharjee; Jiyau Pang; Angelina Liu; Alex Mariakakis; Joseph Jay Williams (ACM Trans. Comput. Hum. Interact., 2023)

The benefit of reflection prompts for encouraging learning with hints in an online programming course. - Heeryung Choi; Jelena Jovanovic 001; Oleksandra Poquet; Christopher Brooks 001; Srecko Joksimovic; Joseph Jay Williams (Internet High. Educ., 2023)

Does the Medium Matter? An Exploration of Voice-Interaction for Self-Explanations. - Angela M. Zavaleta Bernuy; Naaz Sibia; Pan Chen; Jessica Jia-Ni Xu; Elexandra Tran; Runlong Ye 002; Viktoria Pammer-Schindler; Andrew Petersen 001; Joseph Jay Williams; Michael Liut (Conference on Designing Interactive Systems, 2024)

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. - 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; et al. (AAAI, 2024)

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. - 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 (CHI, 2024)

ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. - Mohi Reza; Nathan M. Laundry; Ilya Musabirov; Peter Dushniku; Zhi Yuan "Michael" Yu; Kashish Mittal; Tovi Grossman; Michael Liut; Anastasia Kuzminykh; Joseph Jay Williams (CHI, 2024)

Exploring Self-Explanations in a Flipped Database Course. - Naaz Sibia; Angela M. Zavaleta Bernuy; Elexandra Tran; Jessica Jia-Ni Xu; Joseph Jay Williams; Andrew Petersen 001; Michael Liut (DataEd@SIGMOD, 2024)

Fifth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. - Steven Ritter 001; Stephen E. Fancsali; April Murphy; Neil T. Heffernan; Ben Motz; Debshila Basu Mallick; Jeremy Roschelle; Danielle S. McNamara; Joseph Jay Williams (L@S, 2024)

Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. - 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 (L@S, 2024)

Preface to the 1st International Workshop on Algorithmic Behavior Change Support. - Nele Albers; Amal Abdulrahman; Deborah Richards 001; Caroline A. Figueroa; Bibhas Chakraborty; Ananya Bhattacharjee; Linwei He; Mark A. Neerincx; Joseph Jay Williams; Nezih Younsi; Tibor Bosse; Annemiek Linn; et al. (PERSUASIVE (Adjunct), 2024)

Integrating Digital Calendars with Large Language Models for Stress Management Interventions. - Pranav Rao; Sarah Yi Xu; Ananya Bhattacharjee; Yuchen Zeng; Alex Mariakakis; Joseph Jay Williams (PERSUASIVE (Adjunct), 2024)

Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses. - Angela M. Zavaleta Bernuy; Runlong Ye 002; Naaz Sibia; Rohita Nalluri; Joseph Jay Williams; Andrew Petersen 001; Eric Smith; Bogdan Simion; Michael Liut (SIGCSE (1), 2024)

Examining Intention to Major in Computer Science: Perceived Potential and Challenges. - Naaz Sibia; Giang Bui; Bingcheng Wang; Yinyue Tan; Angela M. Zavaleta Bernuy; Christina Bauer; Joseph Jay Williams; Michael Liut; Andrew Petersen 001 (SIGCSE (1), 2024)

Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education. - Ilya Musabirov; Angela M. Zavaleta Bernuy; Pan Chen; Michael Liut; Joseph Jay Williams (WCCCE, 2024)

Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness. - Harsh Kumar; Suhyeon Yoo; Angela M. Zavaleta Bernuy; Jiakai Shi; Huayin Luo; Joseph Jay Williams; Anastasia Kuzminykh; Ashton Anderson; Rachel Kornfield (CoRR, 2024)

"It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions. - 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 (CoRR, 2024)

"Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young Adults. - Ananya Bhattacharjee; Zichen Gong; Bingcheng Wang; Timothy James Luckcock; Emma Watson; Elena Allica Abellan; Leslie Gutman; Anne Hsu; Joseph Jay Williams (Proc. ACM Hum. Comput. Interact., 2024)

Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust. - Harsh Kumar; Ilya Musabirov; Mohi Reza; Jiakai Shi; Xinyuan Wang; Joseph Jay Williams; Anastasia Kuzminykh; Michael Liut (Proc. ACM Hum. Comput. Interact., 2024)

Ratings and experiences in using a mobile application to increase physical activity among university students: implications for future design. - Caroline A. Figueroa; Laura Gomez-Pathak; Imran Khan; Joseph Jay Williams; Courtney R. Lyles; Adrián Aguilera (Univers. Access Inf. Soc., 2024)

Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions. - 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 (Conference on Designing Interactive Systems, 2025)

Fitting the Message to the Moment: Designing Calendar-Aware Stress Messaging with Large Language Models. - Pranav Rao; Maryam Taj; Alex Mariakakis; Joseph Jay Williams; Ananya Bhattacharjee (CUI, 2025)

Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge. - 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; et al. (LAK, 2025)

WAPTS: A Weighted Allocation Probability Adjusted Thompson Sampling Algorithm for High-Dimensional and Sparse Experiment Settings. - Haochen Song; Ilya Musabirov; Ananya Bhattacharjee; Audrey Durand; Meredith Franklin; Anna N. Rafferty; Joseph Jay Williams (CoRR, 2025)

Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools. - Ananya Bhattacharjee; Joseph Jay Williams; Miranda L. Beltzer; Jonah Meyerhoff; Harsh Kumar; Haochen Song; David C. Mohr; Alex Mariakakis; Rachel Kornfield (CoRR, 2025)

Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process. - Mohi Reza; Jeb Thomas-Mitchell; Peter Dushniku; Nathan Laundry; Joseph Jay Williams; Anastasia Kuzminykh (CoRR, 2025)

Investigating the Relationship Between Physical Activity and Tailored Behavior Change Messaging: Connecting Contextual Bandit with Large Language Models. - Haochen Song; Dominik Hofer; Rania Islambouli; Laura Hawkins; Ananya Bhattacharjee; Meredith Franklin; Joseph Jay Williams (CoRR, 2025)

Micro-Health Interventions: Exploring Design Strategies for 1-Minute Interventions as a Gateway to Healthy Habits. - Zahra Hassanzadeh; David Haag; Lydia B. Chilton; Jan D. Smeddinck; Norman A. S. Farb; Joseph Jay Williams (CoRR, 2025)