John C. Stamper

163 papers A* 7A 26B 54C 3Misc 1Journal 35Unranked 34
YearRankTypeTitle / Venue / Authors
2026 — conf
Deriving Instructional Insights from Human-LLM Co-Evaluation of Student Collaboration in Data-Centric Programming.
SIGCSE (1)
Marshall An, Christine Kwon, Yoonjae Lee, Ji-Hyeon Hur, Dongho Lee, Vincent Huai, Barry Zheng, Matthew Yu, Joana Liu, Jenny Pugh, Gahgene Gweon, John C. Stamper
2026 A* conf
Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives.
CHI
Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John C. Stamper
2026 A* conf
EdTech for Last Mile Learners in the Global South: Navigating Technological and Motivational Learning Insights with Radios and Mobile Phones.
CHI
Christine Kwon, Dieyu Ouyang, Lingkan Wang, Debbie Eleene Conejo, Phenyo Phemelo Moletsane, John C. Stamper, Amy Ogan
2026 — conf
Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning.
SIGCSE (1)
Xinying Hou, Ruiwei Xiao, Runlong Ye, Michael Liut, John C. Stamper
2026 J jnl
From Defense to Advocacy: Empowering Users to Leverage the Blind Spot of AI Inference.
CoRR
Yumou Wei, John Carney, John C. Stamper, Nancy Belmont
2026 A conf
Generate-Then-Validate: A Novel Question Generation Approach Using Small Language Models.
LAK
Yumou Wei, John C. Stamper, Paulo F. Carvalho
2026 A conf
How to Assess AI Literacy: Misalignment Between Self-Reported and Objective-Based Measures.
LAK
Shan Zhang, Ruiwei Xiao, Anthony F. Botelho, Guanze Liao, Thomas K. F. Chiu, John C. Stamper, Kenneth R. Koedinger
2026 J jnl
How to Assess AI Literacy: Misalignment Between Self-Reported and Objective-Based Measures.
CoRR
Shan Zhang, Ruiwei Xiao, Anthony F. Botelho, Guan-Ze Liao, Thomas K. F. Chiu, John C. Stamper, Kenneth R. Koedinger
2026 A* conf
Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module.
AAAI
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guan-Ze Liao, John C. Stamper, Kenneth R. Koedinger
2026 A conf
Revisiting the Hint Button: Consistent Negative Associations Between Unproductive Hint Use and Learning Outcomes in Intelligent Tutoring Systems.
LAK
Marshall An, Mahboobeh Mehrvarz, John C. Stamper, Bruce M. McLaren
2026 J jnl
Transforming GenAI Policy to Prompting Instruction: An RCT of Scalable Prompting Interventions in a CS1 Course.
CoRR
Ruiwei Xiao, Runlong Ye, Xinying Hou, Jessica Wen, Harsh Kumar, Michael Liut, John C. Stamper
2025 J jnl
Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices.
CoRR
Ruiwei Xiao, Qing Xiao, Xinying Hou, Hanqi Jane Li, Phenyo Phemelo Moletsane, Hong Shen, John C. Stamper
2025 — conf
Deceptive Overgeneralization in Adaptive Learning.
AIED (6)
Marshall An, John C. Stamper
2025 — conf
Detect and Remedy Deceptive Overgeneralization in Adaptive Learning.
EC-TE (1)
Marshall An, John C. Stamper
2025 — conf
Detecting Informal Reasoning Errors in Spoken Arguments: A Difficulty Factors Assessment of Distracted Reasoning.
AIED (3)
Nicholas Diana, John C. Stamper
2025 J jnl
Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives.
CoRR
Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John C. Stamper
2025 A conf
Does the Doer Effect Generalize To Non-WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning.
LAK
Darren Butler, Conrad Borchers, Michael W. Asher, Yongmin Lee, Sonya Karnataki, Sameeksha Dangi, Samyukta Athreya, John C. Stamper, Amy Ogan, Paulo Carvalho
2025 J jnl
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design.
CoRR
Jiayi Wang, Ruiwei Xiao, Xinying Hou, John C. Stamper
2025 J jnl
Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning.
CoRR
Xinying Hou, Ruiwei Xiao, Runlong Ye, Michael Liut, John C. Stamper
2025 J jnl
Generate-Then-Validate: A Novel Question Generation Approach Using Small Language Models.
CoRR
Yumou Wei, John C. Stamper, Paulo F. Carvalho
2025 — conf
Generative AI in Instructional Design Education: Effects on Novice Microlesson Quality.
AIED (4)
Steven Moore, Lydia Eckstein, Christine Kwon, John C. Stamper
2025 A conf
Granular Feedback: Leveraging Domain Expertise and Explainable AI to Effectively Steer Models.
UMAP
Maxwell Szymanski, John C. Stamper, Vero Vanden Abeele, Katrien Verbert
2025 J jnl
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education.
CoRR
Ruiwei Xiao, Xinying Hou, Runlong Ye, Majeed Kazemitabaar, Nicholas Diana, Michael Liut, John C. Stamper
2025 — conf
Integrating Generative AI into Instructional Design Practice: Effects on Graduate Student Learning and Self-Efficacy.
EC-TE (1)
Steven Moore, Lydia Eckstein, Christine Kwon, John C. Stamper
2025 B conf
KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery.
EDM
Yumou Wei, Paulo Carvalho, John C. Stamper
2025 J jnl
KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery.
CoRR
Yumou Wei, Paulo Carvalho, John C. Stamper
2025 — conf
LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example.
AIED Companion (2)
Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying-Jui Tseng, John C. Stamper, Kenneth R. Koedinger
2025 J jnl
LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example.
CoRR
Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying-Jui Tseng, John C. Stamper, Ken Koedinger
2025 J jnl
Learning to Use AI for Learning: How Can We Effectively Teach and Measure Prompting Literacy for K-12 Students?
CoRR
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guan-Ze Liao, John C. Stamper, Kenneth R. Koedinger
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
Small but Significant: On the Promise of Small Language Models for Accessible AIED.
CoRR
Yumou Wei, Paulo Carvalho, John C. Stamper
2025 J jnl
The Use of Large Language Models in Education.
Int. J. Artif. Intell. Educ.
Wanli Xing, Nia Nixon, Scott A. Crossley, Paul Denny, Andrew S. Lan, John C. Stamper, Zhou Yu
2024 — conf
A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments.
CSEDM@EDM
Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John C. Stamper, Michael Liut
2024 — conf
A Schema-Based Approach to the Linkage of Multimodal Learning Sources with Generative AI.
AIED Companion (2)
Christine Kwon, James King, John Carney, John C. Stamper
2024 J jnl
ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale.
CoRR
Ruiwei Xiao, Ying-Jui Tseng, Hanqi Li, Hsuan Nieu, Guan-Ze Liao, John C. Stamper, Kenneth R. Koedinger
2024 — conf
An Automatic Question Usability Evaluation Toolkit.
AIED (2)
Steven Moore, Eamon Costello, Huy Anh Nguyen, John C. Stamper
2024 J jnl
An Automatic Question Usability Evaluation Toolkit.
CoRR
Steven Moore, Eamon Costello, Huy Anh Nguyen, John C. Stamper
2024 B conf
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions.
L@S
Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper
2024 J jnl
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions.
CoRR
Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper
2024 J jnl
Does the Doer Effect Exist Beyond WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning.
CoRR
Darren Butler, Conrad Borchers, Michael W. Asher, Yongmin Lee, Sonya Karnataki, Sameeksha Dangi, Samyukta Athreya, John C. Stamper, Amy Ogan, Paulo F. Carvalho
2024 — conf
Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences.
AIED Companion (1)
John C. Stamper, Ruiwei Xiao, Xinying Hou
2024 J jnl
Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences.
CoRR
John C. Stamper, Ruiwei Xiao, Xinying Hou
2024 — conf
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices.
CHI Extended Abstracts
Ruiwei Xiao, Xinying Hou, John C. Stamper
2024 J jnl
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices.
CoRR
Ruiwei Xiao, Xinying Hou, John C. Stamper
2024 A* conf
Investigating Demographics and Motivation in Engineering Education Using Radio and Phone-Based Educational Technologies.
CHI
Christine Kwon, Darren Butler, Judith Odili Uchidiuno, John C. Stamper, Amy Ogan
2024 B conf
Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop.
L@S
Steven Moore, Anjali Singh, Xinyi Lu, Hyoungwook Jin, Hassan Khosravi, Paul Denny, Christopher Brooks, Xu Wang, Juho Kim, John C. Stamper
2024 — conf
Singular Action, Complex Cognition: An Intelligent Tutoring System in Riichi Mahjong.
EC-TEL (2)
Marshall An, Mufei He, Wei Yao, John C. Stamper
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 J jnl
Uncovering Name-Based Biases in Large Language Models Through Simulated Trust Game.
CoRR
Yumou Wei, Paulo F. Carvalho, John C. Stamper
2023 — conf
A Human-Computer Interaction Perspective on Clinical Decision Support Systems: A Systematic Review of Usability, Barriers, and Recommendations for Improvement.
SeGAH
Gonçalo Ferreira, Eva Oliveira, John C. Stamper, António Coelho, Hugo Paredes, Nuno F. Rodrigues
2023 B conf
Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods.
EC-TEL
Steven Moore, Huy Anh Nguyen, Tianying Chen, John C. Stamper
2023 J jnl
Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods.
CoRR
Steven Moore, Huy Anh Nguyen, Tianying Chen, John C. Stamper
2023 B conf
Crowdsourcing the Evaluation of Multiple-Choice Questions Using Item-Writing Flaws and Bloom's Taxonomy.
L@S
Steven Moore, Ellen Fang, Huy Anh Nguyen, John C. Stamper
2023 — conf
Empowering Education with LLMs - The Next-Gen Interface and Content Generation.
AIED (Posters/Late Breaking Results/...)
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 A conf
Examining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning Game.
AIED
Huy Anh Nguyen, Xinying Hou, Hayden Stec, Sarah Di, John C. Stamper, Bruce M. McLaren
2023 C conf
Focal: A Proposed Method of Leveraging LLMs for Automating Assessments.
ICCE
Peter Meyers, Annette Han, Razik Singh Grewal, Mitali Potnis, John C. Stamper
2023 J jnl
Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation.
CoRR
Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper
2023 J jnl
Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation.
Comput. Educ. Artif. Intell.
Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper
2023 — conf
Multimodal Data Support in Knowledge Objects for Real-time Knowledge Sharing.
CrossMMLA@LAK
Christine Kwon, John C. Stamper, James King, Joanie Lam, John Carney
2023 — ed.
Proceedings of the Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023 co-located with 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 7, 2023.
LLM@AIED
Steven Moore, John C. Stamper, Richard Jiarui Tong, Chen Cao, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Hassan Khosravi, Paul Denny, Anjali Singh, Christopher Brooks
2023 — ed.
Proceedings of the Workshop on Learnersourcing: Student-Generated Content @ Scale 2022 co-located with 9th ACM Conference on Learning @ Scale (L@S 2022), New York City, United States, June 1, 2022.
LSGCS@L@S
Steven Moore, John C. Stamper, Paul Denny, Hassan Khosravi, Christopher Brooks
2023 — conf
The Role of Kiosks on Health Services: A Systematic Review.
SeGAH
Eva Oliveira, Paulo Pacheco, Fátima Santos, João Coimbra, John C. Stamper, António Coelho, Hugo Paredes, Joana Alves, Nuno Feixa Rodrigues
2023 C conf
Tracking Knowledge for Learning Japanese as a 2nd Language.
ICCE
Tomoko Okimoto, Matthew W. Johnson, Huy Anh Nguyen, Steven Moore, Michael Eagle, John C. Stamper
2022 B conf
Assessing the Quality of Student-Generated Short Answer Questions Using GPT-3.
EC-TEL
Steven Moore, Huy Anh Nguyen, Norman L. Bier, Tanvi Domadia, John C. Stamper
2022 — conf
Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction.
AIED (1)
Nicholas Diana, John C. Stamper, Ken Koedinger, Jessica Hammer
2022 B conf
Learnersourcing: Student-generated Content @ Scale.
L@S
Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi
2022 — conf
Reducing Bias in a Misinformation Classification Task with Value-Adaptive Instruction.
AIED (1)
Nicholas Diana, John C. Stamper
2022 B conf
Towards Automated Generation and Evaluation of Questions in Educational Domains.
EDM
Shravya Bhat, Huy Anh Nguyen, Steven Moore, John C. Stamper, Majd Sakr, Eric Nyberg
2022 B conf
Towards Generalized Methods for Automatic Question Generation in Educational Domains.
EC-TEL
Huy Anh Nguyen, Shravya Bhat, Steven Moore, Norman L. Bier, John C. Stamper
2021 B conf
Examining the Effects of Student Participation and Performance on the Quality of Learnersourcing Multiple-Choice Questions.
L@S
Steven Moore, Huy Anh Nguyen, John C. Stamper
2021 A conf
Exploring Metrics for the Analysis of Code Submissions in an Introductory Data Science Course.
LAK
Huy Anh Nguyen, Michelle Lim, Steven Moore, Eric Nyberg, Majd Sakr, John C. Stamper
2020 — conf
A Human-Centered Approach to Data Driven Iterative Course Improvement.
REV
Steven Moore, John C. Stamper, Norman L. Bier, Mary Jean Blink
2020 — conf
Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components.
ICLS
Steven Moore, Huy Anh Nguyen, John C. Stamper
2020 — conf
Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations.
AIED (1)
Steven Moore, Huy Anh Nguyen, John C. Stamper
2020 — conf
Improving Students' Problem-Solving Flexibility in Non-routine Mathematics.
AIED (2)
Huy Anh Nguyen, Yuqing Guo, John C. Stamper, Bruce M. McLaren
2020 B conf
Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics.
EDM
Huy Anh Nguyen, Xinying Hou, John C. Stamper, Bruce M. McLaren
2020 — conf
Persuasion Invasion: Reducing Bias with Value-Adaptive Instruction.
CHI PLAY (Companion)
Nicholas Diana, Jessica Hammer, John C. Stamper, Kenneth R. Koedinger
2020 B conf
Towards Crowdsourcing the Identification of Knowledge Components.
L@S
Steven Moore, Huy Anh Nguyen, John C. Stamper
2020 A* conf
Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks.
CHI
Nicholas Diana, John C. Stamper, Ken Koedinger
2020 C conf
Utilizing Crowdsourcing and Topic Modeling to Generate Knowledge Components for Math and Writing Problems.
ICCE
Steven Moore, Huy Nugyen, John C. Stamper
2019 B conf
Decision Support for an Adversarial Game Environment Using Automatic Hint Generation.
ITS
Steven Moore, John C. Stamper
2019 B conf
Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations.
EDM
Chuankai Zhang, Yanzun Huang, Jingyu Wang, Dongyang Lu, Weiqi Fang, John C. Stamper, Stephen Fancsali, Kenneth Holstein, Vincent Aleven
2019 — conf
Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games.
EDM (Workshops)
Steven Moore, John C. Stamper
2019 — conf
Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise.
AIED (2)
John C. Stamper, Steven Moore
2019 — conf
How Does Order of Gameplay Impact Learning and Enjoyment in a Digital Learning Game?
AIED (1)
Yeyu Wang, Huy Anh Nguyen, Erik Harpstead, John C. Stamper, Bruce M. McLaren
2019 J jnl
Learning linkages: Integrating data streams of multiple modalities and timescales.
J. Comput. Assist. Learn.
Ran Liu, John C. Stamper, Jodi L. Davenport, Scott A. Crossley, Danielle S. McNamara, Kalonji Nzinga, Bruce Sherin
2019 — conf
Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning.
AIED (2)
Nicholas Diana, John C. Stamper, Kenneth R. Koedinger
2019 B conf
Predicting Bias in the Evaluation of Unlabeled Political Arguments.
CogSci
Nicholas Diana, John C. Stamper, Ken Koedinger
2019 B conf
Towards Modeling Students' Problem-solving Skills in Non-routine Mathematics Problems.
EDM
Huy Anh Nguyen, John C. Stamper, Bruce M. McLaren
2019 B conf
Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game.
EDM
Huy Anh Nguyen, Yeyu Wang, John C. Stamper, Bruce M. McLaren
2018 J jnl
A Novel Method for the In-Depth Multimodal Analysis of Student Learning Trajectories in Intelligent Tutoring Systems.
J. Learn. Anal.
Ran Liu, John C. Stamper, Jodi L. Davenport
2018 — conf
An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System.
AIED (1)
Nicholas Diana, John C. Stamper, Ken Koedinger
2018 A conf
Data-driven generation of rubric criteria from an educational programming environment.
LAK
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
2018 Misc conf
Linkage Objects for Generalized Instruction in Coding (LOGIC).
FLAIRS
Ted Carmichael, Mary Jean Blink, John C. Stamper, Elizabeth Gieske
2018 — conf
Peer Tutor Matching for Introductory Programming: Data-Driven Methods to Enable New Opportunities for Help.
ICLS
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
2018 B conf
Predicting Individualized Learner Models Across Tutor Lessons.
EDM
Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren
2018 B conf
Predictive Student Modeling for Interventions in Online Classes.
EDM
Michael Eagle, Ted Carmichael, Jessica Stokes, Mary Jean Blink, John C. Stamper, Jason Levin
2017 J jnl
A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments.
ACM Trans. Comput. Educ.
Shuchi Grover, Satabdi Basu, Marie A. Bienkowski, Michael Eagle, Nicholas Diana, John C. Stamper
2017 A conf
A framework for hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming.
LAK
Shuchi Grover, Marie A. Bienkowski, Satabdi Basu, Michael Eagle, Nicholas Diana, John C. Stamper
2017 A conf
An instructor dashboard for real-time analytics in interactive programming assignments.
LAK
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
2017 B conf
Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help.
EDM
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
2017 — conf
Building the Learning Analytics Curriculum.
MLA/BLAC@LAK
Charles Lang, Stephanie D. Teasley, John C. Stamper
2017 A conf
Building the learning analytics curriculum: workshop.
LAK
Charles Lang, Stephanie D. Teasley, John C. Stamper
2017 A conf
Community based educational data repositories and analysis tools.
LAK
Ken Koedinger, Ran Liu, John C. Stamper, Candace Thille, Phil Pavlik
2017 A conf
Data-Driven Generation of Rubric Parameters from an Educational Programming Environment.
AIED
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
2017 A conf
Exploring Learner Model Differences Between Students.
AIED
Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Ryan S. Baker, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell
2017 — ed.
Joint Proceedings of the Workshop on Methodology in Learning Analytics (MLA) and the Workshop on Building the Learning Analytics Curriculum (BLAC) co-located with 7th International Learning Analytics and Knowledge Conference (LAK 2017), Vancouver, Canada, March 13th-14th, 2017.
MLA/BLAC@LAK
Yoav Bergner, Charles Lang, Geraldine Gray, Stephanie D. Teasley, John C. Stamper
2017 — conf
Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System.
MMLA-CrossLAK@LAK
Ran Liu, John C. Stamper
2017 B conf
Sharing and Reusing Data and Analytic Methods with LearnSphere.
EDM
Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr.
2017 A conf
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor.
AIED
Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger
2017 B conf
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor.
EDM
Nicholas Diana, John C. Stamper, Kenneth R. Koedinger
2016 B conf
Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement.
EDM
Ran Liu, Jodi L. Davenport, John C. Stamper
2016 B conf
Estimating Individual Differences for Student Modeling in Intelligent Tutors from Reading and Pretest Data.
ITS
Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell
2016 B conf
Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data.
EDM
Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger
2016 B conf
How quickly can wheel spinning be detected?
EDM
Noboru Matsuda, Sanjay Chandrasekaran, John C. Stamper
2016 B ed.
Intelligent Tutoring Systems - 13th International Conference, ITS 2016, Zagreb, Croatia, June 7-10, 2016. Proceedings
ITS
Alessandro Micarelli, John C. Stamper, Kitty Panourgia
2016 A conf
Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities.
UMAP
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
2016 J jnl
The 2010 KDD Cup Competition Dataset: Engaging the machine learning community in predictive learning analytics.
J. Learn. Anal.
John C. Stamper, Zachary A. Pardos
2015 B conf
Ethics and Privacy in EDM.
EDM
Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaïane
2015 B conf
The Future of Practical Applications of EDM at Scale.
EDM
Ryan S. Baker, John Carney, Piotr Mitros, Bror Saxberg, John C. Stamper
2014 B conf
A Multi-level Complex Adaptive System Approach for Modeling of Schools.
Intelligent Tutoring Systems
Ted Carmichael, Mirsad Hadzikadic, Mary Jean Blink, John C. Stamper
2014 J jnl
Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium).
Ubiquity
Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper
2014 B ed.
Proceedings of the 7th International Conference on Educational Data Mining, EDM 2014, London, UK, July 4-7, 2014
EDM
John C. Stamper, Zachary A. Pardos, Manolis Mavrikis, Bruce M. McLaren
2014 B conf
SCALE: Student Centered Adaptive Learning Engine.
Intelligent Tutoring Systems
Mary Jean Blink, John C. Stamper, Ted Carmichael
2013 B conf
A Comparison of Model Selection Metrics in DataShop.
EDM
John C. Stamper, Kenneth R. Koedinger, Elizabeth A. McLaughlin
2013 B conf
An Algorithm for Reducing the Complexity of Interaction Networks.
EDM
Matthew W. Johnson, Michael Eagle, John C. Stamper, Tiffany Barnes
2013 A conf
CloudCoder: building a community for creating, assigning, evaluating and sharing programming exercises (abstract only).
SIGCSE
David Hovemeyer, Matthew Hertz, Paul Denny, Jaime Spacco, Andrei Papancea, John C. Stamper, Kelly Rivers
2013 J jnl
Experimental Evaluation of Automatic Hint Generation for a Logic Tutor.
Int. J. Artif. Intell. Educ.
John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy
2013 J jnl
LearnLab's DataShop: A Data Repository and Analytics Tool Set for Cognitive Science.
Top. Cogn. Sci.
Kenneth R. Koedinger, John C. Stamper, Brett Leber, Alida Skogsholm
2013 J jnl
New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization.
AI Mag.
Kenneth R. Koedinger, Emma Brunskill, Ryan Shaun Joazeiro de Baker, Elizabeth A. McLaughlin, John C. Stamper
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
Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring.
AIED Workshops
Stephen Fancsali, Steven Ritter, John C. Stamper, Tristan Nixon
2013 B conf
Towards improving programming habits to create better computer science course outcomes.
ITiCSE
Jaime Spacco, Davide Fossati, John C. Stamper, Kelly Rivers
2013 A conf
Using Data-Driven Discovery of Better Student Models to Improve Student Learning.
AIED
Kenneth R. Koedinger, John C. Stamper, Elizabeth A. McLaughlin, Tristan Nixon
2012 B conf
Automated Student Model Improvement.
EDM
Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper
2012 A conf
Educational data mining meets learning analytics.
LAK
Ryan Shaun Joazeiro de Baker, Simon Buckingham Shum, Erik Duval, John C. Stamper, David A. Wiley
2012 B ed.
Proceedings of the 5th International Conference on Educational Data Mining, Chania, Greece, June 19-21, 2012
EDM
Kalina Yacef, Osmar R. Zaïane, Arnon Hershkovitz, Michael Yudelson, John C. Stamper
2012 B conf
Program Representation for Automatic Hint Generation for a Data-Driven Novice Programming Tutor.
ITS
Wei Jin, Tiffany Barnes, John C. Stamper, Michael John Eagle, Matthew W. Johnson, Lorrie Lehmann
2012 B conf
The Effects of Adaptive Sequencing Algorithms on Player Engagement within an Online Game.
ITS
Derek Lomas, John C. Stamper, Ryan Muller, Kishan Patel, Kenneth R. Koedinger
2012 B conf
The Rise of the Super Experiment.
EDM
John C. Stamper, Derek Lomas, Dixie Ching, Steven Ritter, Kenneth R. Koedinger, Jonathan Steinhart
2012 B conf
Using Time Pressure to Promote Mathematical Fluency.
ITS
Steven Ritter, Tristan Nixon, Derek Lomas, John C. Stamper, Dixie Ching
2011 B conf
Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing.
EDM
Kenneth R. Koedinger, Philip I. Pavlik Jr., John C. Stamper, Tristan Nixon, Steven Ritter
2011 A conf
DataShop: A Data Repository and Analysis Service for the Learning Science Community (Interactive Event).
AIED
John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Sandy Demi, Shawnwen Yu, Duncan Spencer
2011 B conf
EDM and the 4th Paradigm of Scientific Discovery - Reflections on KDD Cup 2010.
EDM
John C. Stamper
2011 J jnl
Enhancing the Automatic Generation of Hints with Expert Seeding.
Int. J. Artif. Intell. Educ.
John C. Stamper, Tiffany Barnes, Marvin J. Croy
2011 A conf
Experimental Evaluation of Automatic Hint Generation for a Logic Tutor.
AIED
John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy
2011 A conf
Human-Machine Student Model Discovery and Improvement Using DataShop.
AIED
John C. Stamper, Kenneth R. Koedinger
2011 A conf
Managing the Educational Dataset Lifecycle with DataShop.
AIED
John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Sandy Demi, Shawnwen Yu, Duncan Spencer
2011 B ed.
Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011
EDM
Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper
2010 B conf
A Data Driven Approach to the Discovery of Better Cognitive Models.
EDM
Kenneth R. Koedinger, John C. Stamper
2010 J jnl
Automatic Hint Generation for Logic Proof Tutoring Using Historical Data.
J. Educ. Technol. Soc.
Tiffany Barnes, John C. Stamper
2010 B conf
Enhancing the Automatic Generation of Hints with Expert Seeding.
Intelligent Tutoring Systems (2)
John C. Stamper, Tiffany Barnes, Marvin J. Croy
2010 B conf
PSLC DataShop: A Data Analysis Service for the Learning Science Community.
Intelligent Tutoring Systems (2)
John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Jim Rankin, Sandy Demi
2010 B conf
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems.
EDM
John C. Stamper, Tiffany Barnes, Marvin J. Croy
2009 B conf
An unsupervised, frequency-based metric for selecting hints in an MDP-based tutor.
EDM
John C. Stamper, Tiffany Barnes
2009 A conf
Utility in hint generation: Selection of hints from a corpus of student work.
AIED
John C. Stamper, Tiffany Barnes
2008 B conf
A pilot study on logic proof tutoring using hints generated from historical student data.
EDM
Tiffany Barnes, John C. Stamper, Lorrie Lehmann, Marvin J. Croy
2008 A* conf
The Validity of Providing Automated Hints in an ITS Using a MDP.
AAAI
John C. Stamper, Tiffany Barnes
2008 B conf
Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data.
Intelligent Tutoring Systems
Tiffany Barnes, John C. Stamper
2007 A conf
Automating the Generation of Student Models for Intelligent Tutoring Systems.
AIED
John C. Stamper
2007 A* conf
Extracting Student Models for Intelligent Tutoring Systems.
AAAI
John C. Stamper, Tiffany Barnes, Marvin J. Croy
2005 B conf
Predictive protocol management with contingency planning for wireless sensor networks.
MASS
Ivan Howitt, John C. Stamper, Anita Raja, Verghese Mappillai