| 2026 | AAAI | Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module. | Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guan-Ze Liao, John C. Stamper, Kenneth R. Koedinger |
| 2026 | AIED | Enabling Multi-agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design. | Jiayi Wang, Ruiwei Xiao, Xinying Hou, John C. Stamper |
| 2026 | CHI | EdTech for Last Mile Learners in the Global South: Navigating Technological and Motivational Learning Insights with Radios and Mobile Phones. | Christine Kwon, Dieyu Ouyang, Lingkan Wang, Debbie Eleene Conejo, Phenyo Phemelo Moletsane, John C. Stamper, Amy Ogan |
| 2026 | CHI | Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives. | Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John C. Stamper |
| 2026 | LAK | Revisiting the Hint Button: Consistent Negative Associations Between Unproductive Hint Use and Learning Outcomes in Intelligent Tutoring Systems. | Marshall An, Mahboobeh Mehrvarz, John C. Stamper, Bruce M. McLaren |
| 2026 | LAK | Generate-Then-Validate: A Novel Question Generation Approach Using Small Language Models. | Yumou Wei, John C. Stamper, Paulo F. Carvalho |
| 2026 | LAK | How to Assess AI Literacy: Misalignment Between Self-Reported and Objective-Based Measures. | Shan Zhang, Ruiwei Xiao, Anthony F. Botelho, Guanze Liao, Thomas K. F. Chiu, John C. Stamper, Kenneth R. Koedinger |
| 2026 | SIGCSE | Deriving Instructional Insights from Human-LLM Co-Evaluation of Student Collaboration in Data-Centric Programming. | Marshall An, Christine Kwon, Yoonjae Lee, Jihyeon Hur, Dongho Lee, Vincent Huai, Barry Zheng, Matthew Yu, Joana Liu, Jenny Pugh, Gahgene Gweon, John C. Stamper |
| 2026 | SIGCSE | Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning. | Xinying Hou, Ruiwei Xiao, Runlong Ye, Michael Liut, John C. Stamper |
| 2025 | AIED | Deceptive Overgeneralization in Adaptive Learning. | Marshall An, John C. Stamper |
| 2025 | AIED | Detecting Informal Reasoning Errors in Spoken Arguments: A Difficulty Factors Assessment of Distracted Reasoning. | Nicholas Diana, John C. Stamper |
| 2025 | AIED | Generative AI in Instructional Design Education: Effects on Novice Microlesson Quality. | Steven Moore, Lydia Eckstein, Christine Kwon, John C. Stamper |
| 2025 | AIED | LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example. | Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying-Jui Tseng, John C. Stamper, Kenneth R. Koedinger |
| 2025 | AIED | AI Literacy For All: 1st International Workshop on AI Literacy Education For All. | Ruiwei Xiao, Ying-Jui Tseng, Hanqi Li, Guanze Liao, John C. Stamper, Kenneth R. Koedinger |
| 2025 | EDM | KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery. | Yumou Wei, Paulo Carvalho, John C. Stamper |
| 2025 | LAK | Does the Doer Effect Generalize To Non-WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning. | Darren Butler, Conrad Borchers, Michael W. Asher, Yongmin Lee, Sonya Karnataki, Sameeksha Dangi, Samyukta Athreya, John C. Stamper, Amy Ogan, Paulo Carvalho |
| 2025 | LAK | 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, Audrey Durand, Michael Liut, Joseph Jay Williams |
| 2024 | AIED | A Schema-Based Approach to the Linkage of Multimodal Learning Sources with Generative AI. | Christine Kwon, James King, John Carney, John C. Stamper |
| 2024 | AIED | An Automatic Question Usability Evaluation Toolkit. | Steven Moore, Eamon Costello, Huy Anh Nguyen, John C. Stamper |
| 2024 | AIED | Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences. | John C. Stamper, Ruiwei Xiao, Xinying Hou |
| 2024 | CHI | Investigating Demographics and Motivation in Engineering Education Using Radio and Phone-Based Educational Technologies. | Christine Kwon, Darren Butler, Judith Odili Uchidiuno, John C. Stamper, Amy Ogan |
| 2024 | CHI | Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices. | Ruiwei Xiao, Xinying Hou, John C. Stamper |
| 2024 | EDM | A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. | Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John C. Stamper, Michael Liut |
| 2023 | AIED | Empowering Education with LLMs - The Next-Gen Interface and Content Generation. | Steven Moore, Richard Jiarui Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Chen Cao, Hassan Khosravi, Paul Denny, Christopher Brooks, John C. Stamper |
| 2023 | AIED | Examining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning Game. | Huy Anh Nguyen, Xinying Hou, Hayden Stec, Sarah Di, John C. Stamper, Bruce M. McLaren |
| 2023 | ICCE | Focal: A Proposed Method of Leveraging LLMs for Automating Assessments. | Peter Meyers, Annette Han, Razik Singh Grewal, Mitali Potnis, John C. Stamper |
| 2023 | ICCE | Tracking Knowledge for Learning Japanese as a 2nd Language. | Tomoko Okimoto, Matthew W. Johnson, Huy Anh Nguyen, Steven Moore, Michael Eagle, John C. Stamper |
| 2023 | LAK | Multimodal Data Support in Knowledge Objects for Real-time Knowledge Sharing. | Christine Kwon, John C. Stamper, James King, Joanie Lam, John Carney |
| 2022 | AIED | Reducing Bias in a Misinformation Classification Task with Value-Adaptive Instruction. | Nicholas Diana, John C. Stamper |
| 2022 | AIED | Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction. | Nicholas Diana, John C. Stamper, Ken Koedinger, Jessica Hammer |
| 2022 | EDM | Towards Automated Generation and Evaluation of Questions in Educational Domains. | Shravya Bhat, Huy Anh Nguyen, Steven Moore, John C. Stamper, Majd Sakr, Eric Nyberg |
| 2021 | LAK | Exploring Metrics for the Analysis of Code Submissions in an Introductory Data Science Course. | Huy Anh Nguyen, Michelle Lim, Steven Moore, Eric Nyberg, Majd Sakr, John C. Stamper |
| 2020 | AIED | Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations. | Steven Moore, Huy Anh Nguyen, John C. Stamper |
| 2020 | AIED | Improving Students' Problem-Solving Flexibility in Non-routine Mathematics. | Huy Anh Nguyen, Yuqing Guo, John C. Stamper, Bruce M. McLaren |
| 2020 | CHI | Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks. | Nicholas Diana, John C. Stamper, Ken Koedinger |
| 2020 | EDM | Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics. | Huy Anh Nguyen, Xinying Hou, John C. Stamper, Bruce M. McLaren |
| 2020 | ICCE | Utilizing Crowdsourcing and Topic Modeling to Generate Knowledge Components for Math and Writing Problems. | Steven Moore, Huy Nugyen, John C. Stamper |
| 2019 | AIED | Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning. | Nicholas Diana, John C. Stamper, Kenneth R. Koedinger |
| 2019 | AIED | Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise. | John C. Stamper, Steven Moore |
| 2019 | AIED | How Does Order of Gameplay Impact Learning and Enjoyment in a Digital Learning Game? | Yeyu Wang, Huy Anh Nguyen, Erik Harpstead, John C. Stamper, Bruce M. McLaren |
| 2019 | CogSci | Predicting Bias in the Evaluation of Unlabeled Political Arguments. | Nicholas Diana, John C. Stamper, Ken Koedinger |
| 2019 | EDM | Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games. | Steven Moore, John C. Stamper |
| 2019 | EDM | Towards Modeling Students' Problem-solving Skills in Non-routine Mathematics Problems. | Huy Anh Nguyen, John C. Stamper, Bruce M. McLaren |
| 2019 | EDM | Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game. | Huy Anh Nguyen, Yeyu Wang, John C. Stamper, Bruce M. McLaren |
| 2019 | EDM | Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations. | Chuankai Zhang, Yanzun Huang, Jingyu Wang, Dongyang Lu, Weiqi Fang, John C. Stamper, Stephen Fancsali, Kenneth Holstein, Vincent Aleven |
| 2019 | ITS | Decision Support for an Adversarial Game Environment Using Automatic Hint Generation. | Steven Moore, John C. Stamper |
| 2018 | AIED | An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System. | Nicholas Diana, John C. Stamper, Ken Koedinger |
| 2018 | EDM | Predictive Student Modeling for Interventions in Online Classes. | Michael Eagle, Ted Carmichael, Jessica Stokes, Mary Jean Blink, John C. Stamper, Jason Levin |
| 2018 | EDM | Predicting Individualized Learner Models Across Tutor Lessons. | Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren |
| 2018 | FlAIRS | Linkage Objects for Generalized Instruction in Coding (LOGIC). | Ted Carmichael, Mary Jean Blink, John C. Stamper, Elizabeth Gieske |
| 2018 | LAK | Data-driven generation of rubric criteria from an educational programming environment. | Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu |
| 2017 | AIED | Data-Driven Generation of Rubric Parameters from an Educational Programming Environment. | Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu |
| 2017 | AIED | Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. | Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger |
| 2017 | AIED | Exploring Learner Model Differences Between Students. | Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Ryan S. Baker, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell |
| 2017 | EDM | Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help. | Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu |
| 2017 | EDM | Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. | Nicholas Diana, John C. Stamper, Kenneth R. Koedinger |
| 2017 | EDM | Sharing and Reusing Data and Analytic Methods with LearnSphere. | Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr. |
| 2017 | LAK | An instructor dashboard for real-time analytics in interactive programming assignments. | Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu |
| 2017 | LAK | A framework for hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming. | Shuchi Grover, Marie A. Bienkowski, Satabdi Basu, Michael Eagle, Nicholas Diana, John C. Stamper |
| 2017 | LAK | Community based educational data repositories and analysis tools. | Ken Koedinger, Ran Liu, John C. Stamper, Candace Thille, Phil Pavlik |
| 2017 | LAK | Building the learning analytics curriculum: workshop. | Charles Lang, Stephanie D. Teasley, John C. Stamper |
| 2017 | LAK | Building the Learning Analytics Curriculum. | Charles Lang, Stephanie D. Teasley, John C. Stamper |
| 2017 | LAK | Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System. | Ran Liu, John C. Stamper |
| 2016 | EDM | Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data. | Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger |
| 2016 | EDM | Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement. | Ran Liu, Jodi L. Davenport, John C. Stamper |
| 2016 | EDM | How quickly can wheel spinning be detected? | Noboru Matsuda, Sanjay Chandrasekaran, John C. Stamper |
| 2016 | ITS | Estimating Individual Differences for Student Modeling in Intelligent Tutors from Reading and Pretest Data. | Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell |
| 2015 | EDM | The Future of Practical Applications of EDM at Scale. | Ryan S. Baker, John Carney, Piotr Mitros, Bror Saxberg, John C. Stamper |
| 2015 | EDM | Ethics and Privacy in EDM. | Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaane |
| 2014 | ITS | SCALE: Student Centered Adaptive Learning Engine. | Mary Jean Blink, John C. Stamper, Ted Carmichael |
| 2014 | ITS | A Multi-level Complex Adaptive System Approach for Modeling of Schools. | Ted Carmichael, Mirsad Hadzikadic, Mary Jean Blink, John C. Stamper |
| 2013 | AIED | Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring. | Stephen Fancsali, Steven Ritter, John C. Stamper, Tristan Nixon |
| 2013 | AIED | Using Data-Driven Discovery of Better Student Models to Improve Student Learning. | Kenneth R. Koedinger, John C. Stamper, Elizabeth A. McLaughlin, Tristan Nixon |
| 2013 | CogSci | Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice. | Joseph Jay Williams, Alexander Renkl, Kenneth R. Koedinger, John C. Stamper |
| 2013 | EDM | An Algorithm for Reducing the Complexity of Interaction Networks. | Matthew W. Johnson, Michael Eagle, John C. Stamper, Tiffany Barnes |
| 2013 | EDM | A Comparison of Model Selection Metrics in DataShop. | John C. Stamper, Kenneth R. Koedinger, Elizabeth A. McLaughlin |
| 2013 | ITiCSE | Towards improving programming habits to create better computer science course outcomes. | Jaime Spacco, Davide Fossati, John C. Stamper, Kelly Rivers |
| 2013 | SIGCSE | CloudCoder: building a community for creating, assigning, evaluating and sharing programming exercises (abstract only). | David Hovemeyer, Matthew Hertz, Paul Denny, Jaime Spacco, Andrei Papancea, John C. Stamper, Kelly Rivers |
| 2012 | EDM | Automated Student Model Improvement. | Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper |
| 2012 | EDM | The Rise of the Super Experiment. | John C. Stamper, Derek Lomas, Dixie Ching, Steven Ritter, Kenneth R. Koedinger, Jonathan Steinhart |
| 2012 | ITS | Program Representation for Automatic Hint Generation for a Data-Driven Novice Programming Tutor. | Wei Jin, Tiffany Barnes, John C. Stamper, Michael John Eagle, Matthew W. Johnson, Lorrie Lehmann |
| 2012 | ITS | The Effects of Adaptive Sequencing Algorithms on Player Engagement within an Online Game. | Derek Lomas, John C. Stamper, Ryan Muller, Kishan Patel, Kenneth R. Koedinger |
| 2012 | ITS | Using Time Pressure to Promote Mathematical Fluency. | Steven Ritter, Tristan Nixon, Derek Lomas, John C. Stamper, Dixie Ching |
| 2012 | LAK | Educational data mining meets learning analytics. | Ryan Shaun Joazeiro de Baker, Simon Buckingham Shum, Erik Duval, John C. Stamper, David A. Wiley |
| 2011 | AIED | Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. | John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy |
| 2011 | AIED | Human-Machine Student Model Discovery and Improvement Using DataShop. | John C. Stamper, Kenneth R. Koedinger |
| 2011 | AIED | Managing the Educational Dataset Lifecycle with DataShop. | John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Sandy Demi, Shawnwen Yu, Duncan Spencer |
| 2011 | AIED | DataShop: A Data Repository and Analysis Service for the Learning Science Community (Interactive Event). | John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Sandy Demi, Shawnwen Yu, Duncan Spencer |
| 2011 | EDM | Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing. | Kenneth R. Koedinger, Philip I. Pavlik Jr., John C. Stamper, Tristan Nixon, Steven Ritter |
| 2011 | EDM | EDM and the 4th Paradigm of Scientific Discovery - Reflections on KDD Cup 2010. | John C. Stamper |
| 2010 | EDM | A Data Driven Approach to the Discovery of Better Cognitive Models. | Kenneth R. Koedinger, John C. Stamper |
| 2010 | EDM | Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems. | John C. Stamper, Tiffany Barnes, Marvin J. Croy |
| 2010 | ITS | Enhancing the Automatic Generation of Hints with Expert Seeding. | John C. Stamper, Tiffany Barnes, Marvin J. Croy |
| 2010 | ITS | PSLC DataShop: A Data Analysis Service for the Learning Science Community. | John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Jim Rankin, Sandy Demi |
| 2009 | AIED | Utility in hint generation: Selection of hints from a corpus of student work. | John C. Stamper, Tiffany Barnes |
| 2009 | EDM | An unsupervised, frequency-based metric for selecting hints in an MDP-based tutor. | John C. Stamper, Tiffany Barnes |
| 2008 | AAAI | The Validity of Providing Automated Hints in an ITS Using a MDP. | John C. Stamper, Tiffany Barnes |
| 2008 | EDM | A pilot study on logic proof tutoring using hints generated from historical student data. | Tiffany Barnes, John C. Stamper, Lorrie Lehmann, Marvin J. Croy |
| 2008 | ITS | Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data. | Tiffany Barnes, John C. Stamper |
| 2007 | AAAI | Extracting Student Models for Intelligent Tutoring Systems. | John C. Stamper, Tiffany Barnes, Marvin J. Croy |
| 2007 | AIED | Automating the Generation of Student Models for Intelligent Tutoring Systems. | John C. Stamper |
| 2005 | MASS | Predictive protocol management with contingency planning for wireless sensor networks. | Ivan Howitt, John C. Stamper, Anita Raja, Verghese Mappillai |