John C. Stamper

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 73

Top Venues

Publications

Ruiwei Xiao, Xinying Hou, John C. Stamper
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices. CoRR (2024)
Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. L@S (2024)
John C. Stamper, Ruiwei Xiao, Xinying Hou
Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences. CoRR (2024)
Christine Kwon, James King, John Carney, John C. Stamper
A Schema-Based Approach to the Linkage of Multimodal Learning Sources with Generative AI. AIED Companion (2) (2024)
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
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. L@S (2024)
Ruiwei Xiao, Xinying Hou, John C. Stamper
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices. CHI Extended Abstracts (2024)
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
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. CoRR (2024)
Steven Moore, Eamon Costello, Huy Anh Nguyen, John C. Stamper
An Automatic Question Usability Evaluation Toolkit. CoRR (2024)
Steven Moore, Eamon Costello, Huy Anh Nguyen, John C. Stamper
An Automatic Question Usability Evaluation Toolkit. AIED (2) (2024)
Steven Moore, Anjali Singh, Xinyi Lu, Hyoungwook Jin, Hassan Khosravi, Paul Denny, Christopher Brooks, Xu Wang, Juho Kim, John C. Stamper
Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. L@S (2024)
John C. Stamper, Ruiwei Xiao, Xinying Hou
Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences. AIED Companion (1) (2024)
Christine Kwon, Darren Butler, Judith Odili Uchidiuno, John C. Stamper, Amy Ogan
Investigating Demographics and Motivation in Engineering Education Using Radio and Phone-Based Educational Technologies. CHI (2024)
Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. CoRR (2024)
Steven Moore, Ellen Fang, Huy Anh Nguyen, John C. Stamper
Crowdsourcing the Evaluation of Multiple-Choice Questions Using Item-Writing Flaws and Bloom's Taxonomy. L@S (2023)
Steven Moore, Huy Anh Nguyen, Tianying Chen, John C. Stamper
Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods. EC-TEL (2023)
Huy Anh Nguyen, Xinying Hou, Hayden Stec, Sarah Di, John C. Stamper, Bruce M. McLaren
Examining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning Game. AIED (2023)
Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper
Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation. Comput. Educ. Artif. Intell. 5 (2023)
Christine Kwon, John C. Stamper, James King, Joanie Lam, John Carney
Multimodal Data Support in Knowledge Objects for Real-time Knowledge Sharing. CrossMMLA@LAK (2023)
Steven Moore, Huy Anh Nguyen, Tianying Chen, John C. Stamper
Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods. CoRR (2023)
Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper
Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation. CoRR (2023)
Steven Moore, Richard Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Chen Cao, Hassan Khosravi, Paul Denny, Chris Brooks, John C. Stamper
Empowering Education with LLMs - The Next-Gen Interface and Content Generation. AIED (Posters/Late Breaking Results/...) (2023)
Nicholas Diana, John C. Stamper, Ken Koedinger, Jessica Hammer
Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction. AIED (1) (2022)
Steven Moore, Huy A. Nguyen, Norman L. Bier, Tanvi Domadia, John C. Stamper
Assessing the Quality of Student-Generated Short Answer Questions Using GPT-3. EC-TEL (2022)
Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi
Learnersourcing: Student-generated Content @ Scale. L@S (2022)
Huy A. Nguyen, Shravya Bhat, Steven Moore, Norman L. Bier, John C. Stamper
Towards Generalized Methods for Automatic Question Generation in Educational Domains. EC-TEL (2022)
Shravya Bhat, Huy Anh Nguyen, Steven Moore, John C. Stamper, Majd Sakr, Eric Nyberg
Towards Automated Generation and Evaluation of Questions in Educational Domains. EDM (2022)
Nicholas Diana, John C. Stamper
Reducing Bias in a Misinformation Classification Task with Value-Adaptive Instruction. AIED (1) (2022)
Steven Moore, Huy A. Nguyen, John C. Stamper
Examining the Effects of Student Participation and Performance on the Quality of Learnersourcing Multiple-Choice Questions. L@S (2021)
Huy A. Nguyen, Michelle Lim, Steven Moore, Eric Nyberg, Majd Sakr, John C. Stamper
Exploring Metrics for the Analysis of Code Submissions in an Introductory Data Science Course. LAK (2021)
Steven Moore, Huy A. Nguyen, John C. Stamper
Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations. AIED (1) (2020)
Nicholas Diana, Jessica Hammer, John C. Stamper, Kenneth R. Koedinger
Persuasion Invasion: Reducing Bias with Value-Adaptive Instruction. CHI PLAY (Companion) (2020)
Huy A. Nguyen, Yuqing Guo, John C. Stamper, Bruce M. McLaren
Improving Students' Problem-Solving Flexibility in Non-routine Mathematics. AIED (2) (2020)
Nicholas Diana, John C. Stamper, Ken Koedinger
Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks. CHI (2020)
Steven Moore, John C. Stamper, Norman Bier, Mary Jean Blink
A Human-Centered Approach to Data Driven Iterative Course Improvement. REV (2020)
Steven Moore, Huy A. Nguyen, John C. Stamper
Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components. ICLS (2020)
Steven Moore, Huy A. Nguyen, John C. Stamper
Towards Crowdsourcing the Identification of Knowledge Components. L@S (2020)
Huy A. Nguyen, Xinying Hou, John C. Stamper, Bruce M. McLaren
Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics. EDM (2020)
Huy A. Nguyen, John C. Stamper, Bruce M. McLaren
Towards Modeling Students' Problem-solving Skills in Non-routine Mathematics Problems. EDM (2019)
Ran Liu, John C. Stamper, Jodi L. Davenport, Scott A. Crossley, Danielle S. McNamara, Kalonji Nzinga, Bruce Sherin
Learning linkages: Integrating data streams of multiple modalities and timescales. J. Comput. Assist. Learn. 35 (1) (2019)
Nicholas Diana, John C. Stamper, Ken Koedinger
Predicting Bias in the Evaluation of Unlabeled Political Arguments. CogSci (2019)
Nicholas Diana, John C. Stamper, Kenneth R. Koedinger
Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning. AIED (2) (2019)
Huy A. Nguyen, Yeyu Wang, John C. Stamper, Bruce M. McLaren
Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game. EDM (2019)
Steven Moore, John C. Stamper
Decision Support for an Adversarial Game Environment Using Automatic Hint Generation. ITS (2019)
Steven Moore, John C. Stamper
Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games. EDM (Workshops) (2019)
Yeyu Wang, Huy A. Nguyen, Erik Harpstead, John C. Stamper, Bruce M. McLaren
How Does Order of Gameplay Impact Learning and Enjoyment in a Digital Learning Game? AIED (1) (2019)
Chuankai Zhang, Yanzun Huang, Jingyu Wang, Dongyang Lu, Weiqi Fang, John C. Stamper, Stephen Fancsali, Kenneth Holstein, Vincent Aleven
Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations. EDM (2019)
John C. Stamper, Steven Moore
Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise. AIED (2) (2019)
Ran Liu, John C. Stamper, Jodi L. Davenport
A Novel Method for the In-Depth Multimodal Analysis of Student Learning Trajectories in Intelligent Tutoring Systems. J. Learn. Anal. 5 (1) (2018)
Nicholas Diana, John C. Stamper, Ken Koedinger
An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System. AIED (1) (2018)
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
Peer Tutor Matching for Introductory Programming: Data-Driven Methods to Enable New Opportunities for Help. ICLS (2018)
Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren
Predicting Individualized Learner Models Across Tutor Lessons. EDM (2018)
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
Data-driven generation of rubric criteria from an educational programming environment. LAK (2018)
Michael Eagle, Ted Carmichael, Jessica Stokes, Mary Jean Blink, John C. Stamper, Jason Levin
Predictive Student Modeling for Interventions in Online Classes. EDM (2018)
Ted Carmichael, Mary Jean Blink, John C. Stamper, Elizabeth Gieske
Linkage Objects for Generalized Instruction in Coding (LOGIC). FLAIRS Conference (2018)
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
Data-Driven Generation of Rubric Parameters from an Educational Programming Environment. AIED (2017)
Charles Lang, Stephanie D. Teasley, John C. Stamper
Building the Learning Analytics Curriculum. MLA/BLAC@LAK (2017)
Nicholas Diana, John C. Stamper, Kenneth R. Koedinger
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. EDM (2017)
Charles Lang, Stephanie D. Teasley, John C. Stamper
Building the learning analytics curriculum: workshop. LAK (2017)
Ran Liu, John C. Stamper
Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System. MMLA-CrossLAK@LAK (2017)
Ken Koedinger, Ran Liu, John C. Stamper, Candace Thille, Phil Pavlik
Community based educational data repositories and analysis tools. LAK (2017)
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
An instructor dashboard for real-time analytics in interactive programming assignments. LAK (2017)
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help. EDM (2017)
Shuchi Grover, Satabdi Basu, Marie A. Bienkowski, Michael Eagle, Nicholas Diana, John C. Stamper
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. 17 (3) (2017)
Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. AIED (2017)
Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Ryan S. Baker, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell
Exploring Learner Model Differences Between Students. AIED (2017)
Shuchi Grover, Marie A. Bienkowski, Satabdi Basu, Michael Eagle, Nicholas Diana, John C. Stamper
A framework for hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming. LAK (2017)
Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr.
Sharing and Reusing Data and Analytic Methods with LearnSphere. EDM (2017)
Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell
Estimating Individual Differences for Student Modeling in Intelligent Tutors from Reading and Pretest Data. ITS (2016)
Ran Liu, Jodi L. Davenport, John C. Stamper
Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement. EDM (2016)
Noboru Matsuda, Sanjay Chandrasekaran, John C. Stamper
How quickly can wheel spinning be detected? EDM (2016)
John C. Stamper, Zachary A. Pardos
The 2010 KDD Cup Competition Dataset: Engaging the machine learning community in predictive learning analytics. J. Learn. Anal. 3 (2) (2016)
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
Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities. UMAP (2016)
Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger
Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data. EDM (2016)
Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaïane
Ethics and Privacy in EDM. EDM (2015)
Ryan S. Baker, John Carney, Piotr Mitros, Bror Saxberg, John C. Stamper
The Future of Practical Applications of EDM at Scale. EDM (2015)
Mary Jean Blink, John C. Stamper, Ted Carmichael
SCALE: Student Centered Adaptive Learning Engine. Intelligent Tutoring Systems (2014)
Ted Carmichael, Mirsad Hadzikadic, Mary Jean Blink, John C. Stamper
A Multi-level Complex Adaptive System Approach for Modeling of Schools. Intelligent Tutoring Systems (2014)
Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper
Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium). Ubiquity 2014 (May) (2014)
Kenneth R. Koedinger, Emma Brunskill, Ryan Shaun Joazeiro de Baker, Elizabeth A. McLaughlin, John C. Stamper
New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization. AI Mag. 34 (3) (2013)
Joseph Jay Williams, Alexander Renkl, Kenneth R. Koedinger, John C. Stamper
Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice. CogSci (2013)
Jaime Spacco, Davide Fossati, John C. Stamper, Kelly Rivers
Towards improving programming habits to create better computer science course outcomes. ITiCSE (2013)
Matthew W. Johnson, Michael Eagle, John C. Stamper, Tiffany Barnes
An Algorithm for Reducing the Complexity of Interaction Networks. EDM (2013)
Stephen Fancsali, Steven Ritter, John C. Stamper, Tristan Nixon
Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring. AIED Workshops (2013)
David Hovemeyer, Matthew Hertz, Paul Denny, Jaime Spacco, Andrei Papancea, John C. Stamper, Kelly Rivers
CloudCoder: building a community for creating, assigning, evaluating and sharing programming exercises (abstract only). SIGCSE (2013)
Kenneth R. Koedinger, John C. Stamper, Elizabeth A. McLaughlin, Tristan Nixon
Using Data-Driven Discovery of Better Student Models to Improve Student Learning. AIED (2013)
John C. Stamper, Kenneth R. Koedinger, Elizabeth A. McLaughlin
A Comparison of Model Selection Metrics in DataShop. EDM (2013)
Kenneth R. Koedinger, John C. Stamper, Brett Leber, Alida Skogsholm
LearnLab's DataShop: A Data Repository and Analytics Tool Set for Cognitive Science. Top. Cogn. Sci. 5 (3) (2013)
John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy
Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. Int. J. Artif. Intell. Educ. 22 (1-2) (2013)
Ryan Shaun Joazeiro de Baker, Simon Buckingham Shum, Erik Duval, John C. Stamper, David A. Wiley
Educational data mining meets learning analytics. LAK (2012)
Steven Ritter, Tristan Nixon, Derek Lomas, John C. Stamper, Dixie Ching
Using Time Pressure to Promote Mathematical Fluency. ITS (2012)
Derek Lomas, John C. Stamper, Ryan Muller, Kishan Patel, Kenneth R. Koedinger
The Effects of Adaptive Sequencing Algorithms on Player Engagement within an Online Game. ITS (2012)
John C. Stamper, Derek Lomas, Dixie Ching, Steven Ritter, Kenneth R. Koedinger, Jonathan Steinhart
The Rise of the Super Experiment. EDM (2012)
Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper
Automated Student Model Improvement. EDM (2012)
Wei Jin, Tiffany Barnes, John C. Stamper, Michael John Eagle, Matthew W. Johnson, Lorrie Lehmann
Program Representation for Automatic Hint Generation for a Data-Driven Novice Programming Tutor. ITS (2012)
Kenneth R. Koedinger, Philip I. Pavlik Jr., John C. Stamper, Tristan Nixon, Steven Ritter
Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing. EDM (2011)
John C. Stamper, Tiffany Barnes, Marvin J. Croy
Enhancing the Automatic Generation of Hints with Expert Seeding. Int. J. Artif. Intell. Educ. 21 (1-2) (2011)
John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Sandy Demi, Shawnwen Yu, Duncan Spencer
Managing the Educational Dataset Lifecycle with DataShop. AIED (2011)
John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Sandy Demi, Shawnwen Yu, Duncan Spencer
DataShop: A Data Repository and Analysis Service for the Learning Science Community (Interactive Event). AIED (2011)
John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy
Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. AIED (2011)
John C. Stamper
EDM and the 4th Paradigm of Scientific Discovery - Reflections on KDD Cup 2010. EDM (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

John C. Stamper