Joseph Jay Williams
Orcid: 0000-0002-9122-5242
According to our database1,
Joseph Jay Williams
authored at least 128 papers
between 2008 and 2024.
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Bibliography
2024
Ratings and experiences in using a mobile application to increase physical activity among university students: implications for future design.
Univers. Access Inf. Soc., June, 2024
Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust.
Proc. ACM Hum. Comput. Interact., 2024
"Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young Adults.
Proc. ACM Hum. Comput. Interact., 2024
"It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions.
CoRR, 2024
Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness.
CoRR, 2024
Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education.
Proceedings of the 26th Western Canadian Conference on Computing Education, 2024
Examining Intention to Major in Computer Science: Perceived Potential and Challenges.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024
Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024
Integrating Digital Calendars with Large Language Models for Stress Management Interventions.
Proceedings of the 19th International Conference on Persuasive Technology, Adjunct Proceedings co-located with PERSUASIVE 2024, Wollongong, Australia, April 10th, 2024
Proceedings of the 19th International Conference on Persuasive Technology, Adjunct Proceedings co-located with PERSUASIVE 2024, Wollongong, Australia, April 10th, 2024
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024
Proceedings of the 3rd International Workshop on Data Systems Education: Bridging education practice with education research, 2024
ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Designing Interactive Systems Conference, 2024
2023
The benefit of reflection prompts for encouraging learning with hints in an online programming course.
Internet High. Educ., June, 2023
Design Implications for One-Way Text Messaging Services that Support Psychological Wellbeing.
ACM Trans. Comput. Hum. Interact., 2023
Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception.
CoRR, 2023
Opportunities for Adaptive Experiments to Enable Continuous Improvement that Trades-off Instructor and Researcher Incentives.
CoRR, 2023
ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models.
CoRR, 2023
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023
A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous Improvement.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023
Exploring The Potential of Chatbots to Provide Mental Well-being Support for Computer Science Students.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023
Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, 2023
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023
Proceedings of the 5th Annual Symposium on HCI Education, 2023
Exam Eustress: Designing Brief Online Interventions for Helping Students Identify Positive Aspects of Stress.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Exploring the Use of Large Language Models for Improving the Awareness of Mindfulness.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
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., 2022
"I Kind of Bounce off It": Translating Mental Health Principles into Real Life Through Story-Based Text Messages.
Proc. ACM Hum. Comput. Interact., 2022
Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning.
CoRR, 2022
Exploring The Design of Prompts For Applying GPT-3 based Chatbots: A Mental Wellbeing Case Study on Mechanical Turk.
CoRR, 2022
CoRR, 2022
Experimenting with Experimentation: Rethinking The Role of Experimentation in Educational Design.
CoRR, 2022
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions.
CoRR, 2022
Behavioral Consequences of Reminder Emails on Students' Academic Performance: a Real-world Deployment.
Proceedings of the SIGITE '22: The 23rd Annual Conference on Information Technology Education, Chicago, IL, USA, September 21, 2022
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022
Engaging Students with Extra Tasks: Motivational Design and Student-Generated Improvements.
Proceedings of the Workshop on Learnersourcing: Student-Generated Content @ Scale 2022 co-located with 9th ACM Conference on Learning @ Scale (L@S 2022), 2022
How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022
"Sounds like a Cheesy Radio Ad": Using User Perspectives for Enhancing Digital COVID Vaccine Communication Strategies for Public Health Agencies.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
2021
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., 2021
Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions.
J. Am. Medical Informatics Assoc., 2021
Understanding User Perspectives on Prompts for Brief Reflection on Troubling Emotions.
CoRR, 2021
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization.
CoRR, 2021
Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling.
CoRR, 2021
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments.
CoRR, 2021
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021
Investigating the Impact of Online Homework Reminders Using Randomized A/B Comparisons.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021
The MOOClet Framework: Unifying Experimentation, Dynamic Improvement, and Personalization in Online Courses.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021
Exploring Additional Personalized Support While Attempting Exercise Problems in Online Learning Platforms.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
2020
Interactions, 2020
Using Information Visualization to Promote Students' Reflection on "Gaming the System" in Online Learning.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020
Characterizing and influencing students' tendency to write self-explanations in online homework.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020
Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), 2020
Getting too personal(ized): The importance of feature choice in online adaptive algorithms.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones.
Proceedings of the AMIA 2020, 2020
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020
2019
J. Learn. Anal., December, 2019
The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment.
Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
An Evaluation of the Impact of Automated Programming Hints on Performance and Learning.
Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Proceedings of the ACM Conference on Global Computing Education, 2019
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
Understanding and Correcting Inaccurate Calorie Estimations on Amazon Mechanical Turk.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
2018
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018
Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
Harvesting Caregiving Knowledge: Design Considerations for Integrating Volunteer Input in Dementia Care.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018
Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018
2017
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017
Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
2016
Int. J. Artif. Intell. Educ., 2016
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016
Proceedings of the Third ACM Conference on Learning @ Scale, 2016
The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016
Proceedings of the 9th International Conference on Educational Data Mining, 2016
Revising Learner Misconceptions Without Feedback: Prompting for Reflection on Anomalies.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
2015
Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs.
J. Learn. Anal., December, 2015
A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons.
Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015
Proceedings of the Second ACM Conference on Learning @ Scale, 2015
Proceedings of the Second ACM Conference on Learning @ Scale, 2015
A Playful Game Changer: Fostering Student Retention in Online Education with Social Gamification.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015
Proceedings of the 8th International Conference on Educational Data Mining, 2015
Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015
2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
Online A/B tests & experiments: a practical but scientifically informed introduction.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014
2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013
Providing implicit formative feedback to learners by combining self-generated and instructional explanations.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013
2012
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012
Explaining Influences Children's Reliance on Evidence and Prior Knowledge in Causal Induction.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012
2011
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011
2010
The Role of Explanation in Discovery and Generalization: Evidence From Category Learning.
Cogn. Sci., 2010
2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008