Predictive protocol management with contingency planning for wireless sensor networks. - Ivan Howitt; John C. Stamper; Anita Raja; Verghese Mappillai (MASS, 2005)

Extracting Student Models for Intelligent Tutoring Systems. - John C. Stamper; Tiffany Barnes; Marvin J. Croy (AAAI, 2007)

Automating the Generation of Student Models for Intelligent Tutoring Systems. - John C. Stamper (AIED, 2007)

The Validity of Providing Automated Hints in an ITS Using a MDP. - John C. Stamper; Tiffany Barnes (AAAI, 2008)

A pilot study on logic proof tutoring using hints generated from historical student data. - Tiffany Barnes; John C. Stamper; Lorrie Lehmann; Marvin J. Croy (EDM, 2008)

Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data. - Tiffany Barnes; John C. Stamper (Intelligent Tutoring Systems, 2008)

Utility in hint generation: Selection of hints from a corpus of student work. - John C. Stamper; Tiffany Barnes (AIED, 2009)

An unsupervised, frequency-based metric for selecting hints in an MDP-based tutor. - John C. Stamper; Tiffany Barnes (EDM, 2009)

A Data Driven Approach to the Discovery of Better Cognitive Models. - Kenneth R. Koedinger; John C. Stamper (EDM, 2010)

Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems. - John C. Stamper; Tiffany Barnes; Marvin J. Croy (EDM, 2010)

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 (Intelligent Tutoring Systems (2), 2010)

Automatic Hint Generation for Logic Proof Tutoring Using Historical Data. - Tiffany Barnes; John C. Stamper (J. Educ. Technol. Soc., 2010)

Human-Machine Student Model Discovery and Improvement Using DataShop. - John C. Stamper; Kenneth R. Koedinger (AIED, 2011)

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 (AIED, 2011)

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 (AIED, 2011)

Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing. - Kenneth R. Koedinger; Philip I. Pavlik Jr.; John C. Stamper; Tristan Nixon; Steven Ritter 001 (EDM, 2011)

EDM and the 4th Paradigm of Scientific Discovery - Reflections on KDD Cup 2010. - John C. Stamper (EDM, 2011)

Enhancing the Automatic Generation of Hints with Expert Seeding. - John C. Stamper; Tiffany Barnes; Marvin J. Croy (Int. J. Artif. Intell. Educ., 2011)

Automated Student Model Improvement. - Kenneth R. Koedinger; Elizabeth A. McLaughlin; John C. Stamper (EDM, 2012)

The Rise of the Super Experiment. - John C. Stamper; Derek Lomas; Dixie Ching; Steven Ritter 001; Kenneth R. Koedinger; Jonathan Steinhart (EDM, 2012)

Program Representation for Automatic Hint Generation for a Data-Driven Novice Programming Tutor. - Wei Jin 007; Tiffany Barnes; John C. Stamper; Michael John Eagle; Matthew W. Johnson 001; Lorrie Lehmann (ITS, 2012)

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 (ITS, 2012)

Using Time Pressure to Promote Mathematical Fluency. - Steven Ritter 001; Tristan Nixon; Derek Lomas; John C. Stamper; Dixie Ching (ITS, 2012)

Educational data mining meets learning analytics. - Ryan Shaun Joazeiro de Baker; Simon Buckingham Shum; Erik Duval; John C. Stamper; David A. Wiley (LAK, 2012)

Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring. - Stephen Fancsali; Steven Ritter 001; John C. Stamper; Tristan Nixon (AIED Workshops, 2013)

Using Data-Driven Discovery of Better Student Models to Improve Student Learning. - Kenneth R. Koedinger; John C. Stamper; Elizabeth A. McLaughlin; Tristan Nixon (AIED, 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)

An Algorithm for Reducing the Complexity of Interaction Networks. - Matthew W. Johnson 001; Michael Eagle; John C. Stamper; Tiffany Barnes (EDM, 2013)

A Comparison of Model Selection Metrics in DataShop. - John C. Stamper; Kenneth R. Koedinger; Elizabeth A. McLaughlin (EDM, 2013)

Towards improving programming habits to create better computer science course outcomes. - Jaime Spacco; Davide Fossati; John C. Stamper; Kelly Rivers (ITiCSE, 2013)

CloudCoder: building a community for creating, assigning, evaluating and sharing programming exercises (abstract only). - David Hovemeyer; Matthew Hertz; Paul Denny 001; Jaime Spacco; Andrei Papancea; John C. Stamper; Kelly Rivers (SIGCSE, 2013)

Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. - John C. Stamper; Michael Eagle; Tiffany Barnes; Marvin J. Croy (Int. J. Artif. Intell. Educ., 2013)

New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization. - Kenneth R. Koedinger; Emma Brunskill; Ryan Shaun Joazeiro de Baker; Elizabeth A. McLaughlin; John C. Stamper (AI Mag., 2013)

LearnLab's DataShop: A Data Repository and Analytics Tool Set for Cognitive Science. - Kenneth R. Koedinger; John C. Stamper; Brett Leber; Alida Skogsholm (Top. Cogn. Sci., 2013)

SCALE: Student Centered Adaptive Learning Engine. - Mary Jean Blink; John C. Stamper; Ted Carmichael (Intelligent Tutoring Systems, 2014)

A Multi-level Complex Adaptive System Approach for Modeling of Schools. - Ted Carmichael; Mirsad Hadzikadic; Mary Jean Blink; John C. Stamper (Intelligent Tutoring Systems, 2014)

Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium). - Kenneth R. Koedinger; Elizabeth A. McLaughlin; John C. Stamper (Ubiquity, 2014)

The Future of Practical Applications of EDM at Scale. - Ryan S. Baker 001; John Carney; Piotr Mitros; Bror Saxberg; John C. Stamper (EDM, 2015)

Ethics and Privacy in EDM. - Dragan Gasevic; Taylor Martin; Zachary A. Pardos; Mykola Pechenizkiy; John C. Stamper; Osmar R. Zaïane (EDM, 2015)

Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data. - Nicholas Diana; Michael Eagle; John C. Stamper; Kenneth R. Koedinger (EDM, 2016)

Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement. - Ran Liu 008; Jodi L. Davenport; John C. Stamper (EDM, 2016)

How quickly can wheel spinning be detected? - Noboru Matsuda; Sanjay Chandrasekaran; John C. Stamper (EDM, 2016)

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 (ITS, 2016)

Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities. - Michael Eagle; Albert T. Corbett; John C. Stamper; Bruce M. McLaren; Ryan Shaun Joazeiro de Baker; Angela Z. Wagner; Benjamin A. MacLaren; Aaron P. Mitchell (UMAP, 2016)

The 2010 KDD Cup Competition Dataset: Engaging the machine learning community in predictive learning analytics. - John C. Stamper; Zachary A. Pardos (J. Learn. Anal., 2016)

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 (AIED, 2017)

Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. - Nicholas Diana; Michael Eagle; John C. Stamper; Kenneth R. Koedinger (AIED, 2017)

Exploring Learner Model Differences Between Students. - Michael Eagle; Albert T. Corbett; John C. Stamper; Bruce M. McLaren; Ryan S. Baker 001; Angela Z. Wagner; Benjamin A. MacLaren; Aaron P. Mitchell (AIED, 2017)

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 (EDM, 2017)

Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. - Nicholas Diana; John C. Stamper; Kenneth R. Koedinger (EDM, 2017)

Sharing and Reusing Data and Analytic Methods with LearnSphere. - Ran Liu 008; Kenneth R. Koedinger; John C. Stamper; Philip I. Pavlik Jr. (EDM, 2017)

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 (LAK, 2017)

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 (LAK, 2017)

Community based educational data repositories and analysis tools. - Ken Koedinger; Ran Liu 008; John C. Stamper; Candace Thille; Phil Pavlik (LAK, 2017)

Building the learning analytics curriculum: workshop. - Charles Lang; Stephanie D. Teasley; John C. Stamper (LAK, 2017)

Building the Learning Analytics Curriculum. - Charles Lang; Stephanie D. Teasley; John C. Stamper (MLA/BLAC@LAK, 2017)

Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System. - Ran Liu 008; John C. Stamper (MMLA-CrossLAK@LAK, 2017)

A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments. - Shuchi Grover; Satabdi Basu; Marie A. Bienkowski; Michael Eagle; Nicholas Diana; John C. Stamper (ACM Trans. Comput. Educ., 2017)

An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System. - Nicholas Diana; John C. Stamper; Ken Koedinger (AIED (1), 2018)

Predictive Student Modeling for Interventions in Online Classes. - Michael Eagle; Ted Carmichael; Jessica Stokes; Mary Jean Blink; John C. Stamper; Jason Levin (EDM, 2018)

Predicting Individualized Learner Models Across Tutor Lessons. - Michael Eagle; Albert T. Corbett; John C. Stamper; Bruce M. McLaren (EDM, 2018)

Linkage Objects for Generalized Instruction in Coding (LOGIC). - Ted Carmichael; Mary Jean Blink; John C. Stamper; Elizabeth Gieske (FLAIRS, 2018)

Peer Tutor Matching for Introductory Programming: Data-Driven Methods to Enable New Opportunities for Help. - Nicholas Diana; Michael Eagle; John C. Stamper; Shuchi Grover; Marie A. Bienkowski; Satabdi Basu (ICLS, 2018)

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 (LAK, 2018)

A Novel Method for the In-Depth Multimodal Analysis of Student Learning Trajectories in Intelligent Tutoring Systems. - Ran Liu 008; John C. Stamper; Jodi L. Davenport (J. Learn. Anal., 2018)

Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning. - Nicholas Diana; John C. Stamper; Kenneth R. Koedinger (AIED (2), 2019)

Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise. - John C. Stamper; Steven Moore (AIED (2), 2019)

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 (AIED (1), 2019)

Predicting Bias in the Evaluation of Unlabeled Political Arguments. - Nicholas Diana; John C. Stamper; Ken Koedinger (CogSci, 2019)

Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games. - Steven Moore; John C. Stamper (EDM (Workshops), 2019)

Towards Modeling Students' Problem-solving Skills in Non-routine Mathematics Problems. - Huy Anh Nguyen; John C. Stamper; Bruce M. McLaren (EDM, 2019)

Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game. - Huy Anh Nguyen; Yeyu Wang; John C. Stamper; Bruce M. McLaren (EDM, 2019)

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 (EDM, 2019)

Decision Support for an Adversarial Game Environment Using Automatic Hint Generation. - Steven Moore; John C. Stamper (ITS, 2019)

Learning linkages: Integrating data streams of multiple modalities and timescales. - Ran Liu 008; John C. Stamper; Jodi L. Davenport; Scott A. Crossley; Danielle S. McNamara; Kalonji Nzinga; Bruce Sherin (J. Comput. Assist. Learn., 2019)

Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations. - Steven Moore; Huy Anh Nguyen; John C. Stamper (AIED (1), 2020)

Improving Students' Problem-Solving Flexibility in Non-routine Mathematics. - Huy Anh Nguyen; Yuqing Guo; John C. Stamper; Bruce M. McLaren (AIED (2), 2020)

Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks. - Nicholas Diana; John C. Stamper; Ken Koedinger (CHI, 2020)

Persuasion Invasion: Reducing Bias with Value-Adaptive Instruction. - Nicholas Diana; Jessica Hammer; John C. Stamper; Kenneth R. Koedinger (CHI PLAY (Companion), 2020)

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 (EDM, 2020)

Utilizing Crowdsourcing and Topic Modeling to Generate Knowledge Components for Math and Writing Problems. - Steven Moore; Huy Nugyen; John C. Stamper (ICCE, 2020)

Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components. - Steven Moore; Huy Anh Nguyen; John C. Stamper (ICLS, 2020)

Towards Crowdsourcing the Identification of Knowledge Components. - Steven Moore; Huy Anh Nguyen; John C. Stamper (L@S, 2020)

A Human-Centered Approach to Data Driven Iterative Course Improvement. - Steven Moore; John C. Stamper; Norman L. Bier; Mary Jean Blink (REV, 2020)

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 (LAK, 2021)

Examining the Effects of Student Participation and Performance on the Quality of Learnersourcing Multiple-Choice Questions. - Steven Moore; Huy Anh Nguyen; John C. Stamper (L@S, 2021)

Reducing Bias in a Misinformation Classification Task with Value-Adaptive Instruction. - Nicholas Diana; John C. Stamper (AIED (1), 2022)

Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction. - Nicholas Diana; John C. Stamper; Ken Koedinger; Jessica Hammer (AIED (1), 2022)

Assessing the Quality of Student-Generated Short Answer Questions Using GPT-3. - Steven Moore; Huy Anh Nguyen; Norman L. Bier; Tanvi Domadia; John C. Stamper (EC-TEL, 2022)

Towards Generalized Methods for Automatic Question Generation in Educational Domains. - Huy Anh Nguyen; Shravya Bhat; Steven Moore; Norman L. Bier; John C. Stamper (EC-TEL, 2022)

Towards Automated Generation and Evaluation of Questions in Educational Domains. - Shravya Bhat; Huy Anh Nguyen; Steven Moore; John C. Stamper; Majd Sakr; Eric Nyberg (EDM, 2022)

Learnersourcing: Student-generated Content @ Scale. - Steven Moore; John C. Stamper; Christopher Brooks 001; Paul Denny 001; Hassan Khosravi (L@S, 2022)

Empowering Education with LLMs - The Next-Gen Interface and Content Generation. - Steven Moore; Richard Jiarui Tong; Anjali Singh; Zitao Liu 001; Xiangen Hu; Yu Lu 003; Joleen Liang; Chen Cao 005; Hassan Khosravi; Paul Denny 001; Christopher Brooks 001; John C. Stamper (AIED (Posters/Late Breaking Results/...), 2023)

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 (AIED, 2023)

Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods. - Steven Moore; Huy Anh Nguyen; Tianying Chen 001; John C. Stamper (EC-TEL, 2023)

Focal: A Proposed Method of Leveraging LLMs for Automating Assessments. - Peter Meyers; Annette Han; Razik Singh Grewal; Mitali Potnis; John C. Stamper (ICCE, 2023)

Tracking Knowledge for Learning Japanese as a 2nd Language. - Tomoko Okimoto; Matthew W. Johnson 001; Huy Anh Nguyen; Steven Moore; Michael Eagle; John C. Stamper (ICCE, 2023)

Multimodal Data Support in Knowledge Objects for Real-time Knowledge Sharing. - Christine Kwon; John C. Stamper; James King; Joanie Lam; John Carney (CrossMMLA@LAK, 2023)

Crowdsourcing the Evaluation of Multiple-Choice Questions Using Item-Writing Flaws and Bloom's Taxonomy. - Steven Moore; Ellen Fang; Huy Anh Nguyen; John C. Stamper (L@S, 2023)

A Human-Computer Interaction Perspective on Clinical Decision Support Systems: A Systematic Review of Usability, Barriers, and Recommendations for Improvement. - Gonçalo Ferreira; Eva Oliveira; John C. Stamper; António Coelho 001; Hugo Paredes; Nuno F. Rodrigues (SeGAH, 2023)

The Role of Kiosks on Health Services: A Systematic Review. - Eva Oliveira; Paulo Pacheco; Fátima Santos; João Coimbra; John C. Stamper; António Coelho 001; Hugo Paredes; Joana Alves; Nuno Feixa Rodrigues (SeGAH, 2023)

Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation. - Hassan Khosravi; Paul Denny 001; Steven Moore; John C. Stamper (Comput. Educ. Artif. Intell., 2023)

A Schema-Based Approach to the Linkage of Multimodal Learning Sources with Generative AI. - Christine Kwon; James King; John Carney; John C. Stamper (AIED Companion (2), 2024)

An Automatic Question Usability Evaluation Toolkit. - Steven Moore; Eamon Costello; Huy Anh Nguyen; John C. Stamper (AIED (2), 2024)

Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences. - John C. Stamper; Ruiwei Xiao; Xinying Hou (AIED Companion (1), 2024)

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 (CHI, 2024)

Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices. - Ruiwei Xiao; Xinying Hou; John C. Stamper (CHI Extended Abstracts, 2024)

Singular Action, Complex Cognition: An Intelligent Tutoring System in Riichi Mahjong. - Marshall An; Mufei He; Wei Yao; John C. Stamper (EC-TEL (2), 2024)

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 (CSEDM@EDM, 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)

Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. - Steven Moore; Anjali Singh; Xinyi Lu; Hyoungwook Jin; Hassan Khosravi; Paul Denny 001; Christopher Brooks 001; Xu Wang 016; Juho Kim 001; John C. Stamper (L@S, 2024)

Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. - Steven Moore; Robin Schmucker; Tom M. Mitchell; John C. Stamper (L@S, 2024)

Uncovering Name-Based Biases in Large Language Models Through Simulated Trust Game. - Yumou Wei; Paulo F. Carvalho; John C. Stamper (CoRR, 2024)

ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale. - Ruiwei Xiao; Ying-Jui Tseng; Hanqi Li; Hsuan Nieu; Guan-Ze Liao; John C. Stamper; Kenneth R. Koedinger (CoRR, 2024)

Does the Doer Effect Exist Beyond 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 F. Carvalho (CoRR, 2024)

Deceptive Overgeneralization in Adaptive Learning. - Marshall An; John C. Stamper (AIED (6), 2025)

Detecting Informal Reasoning Errors in Spoken Arguments: A Difficulty Factors Assessment of Distracted Reasoning. - Nicholas Diana; John C. Stamper (AIED (3), 2025)

Generative AI in Instructional Design Education: Effects on Novice Microlesson Quality. - Steven Moore; Lydia Eckstein; Christine Kwon; John C. Stamper (AIED (4), 2025)

Detect and Remedy Deceptive Overgeneralization in Adaptive Learning. - Marshall An; John C. Stamper (EC-TE (1), 2025)

Integrating Generative AI into Instructional Design Practice: Effects on Graduate Student Learning and Self-Efficacy. - Steven Moore; Lydia Eckstein; Christine Kwon; John C. Stamper (EC-TE (1), 2025)

KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery. - Yumou Wei; Paulo Carvalho 004; John C. Stamper (EDM, 2025)

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 004 (LAK, 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)

Granular Feedback: Leveraging Domain Expertise and Explainable AI to Effectively Steer Models. - Maxwell Szymanski; John C. Stamper; Vero Vanden Abeele; Katrien Verbert (UMAP, 2025)

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; Ken Koedinger (CoRR, 2025)

Small but Significant: On the Promise of Small Language Models for Accessible AIED. - Yumou Wei; Paulo Carvalho 004; John C. Stamper (CoRR, 2025)

The Use of Large Language Models in Education. - Wanli Xing; Nia Nixon; Scott A. Crossley; Paul Denny 001; Andrew S. Lan; John C. Stamper; Zhou Yu (Int. J. Artif. Intell. Educ., 2025)

Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education. - Ruiwei Xiao; Xinying Hou; Runlong Ye 002; Majeed Kazemitabaar; Nicholas Diana; Michael Liut; John C. Stamper (CoRR, 2025)

Learning to Use AI for Learning: How Can We Effectively Teach and Measure Prompting Literacy for K-12 Students? - Ruiwei Xiao; Xinying Hou; Ying-Jui Tseng; Hsuan Nieu; Guan-Ze Liao; John C. Stamper; Kenneth R. Koedinger (CoRR, 2025)