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ORCIDJohn C. Stamper
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- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation: University of North Carolina at Charlotte, NC, USA
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2020 – today
- 2024
[c100]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: 3-10- [c99]Steven Moore, Eamon Costello, Huy Anh Nguyen, John C. Stamper:
An Automatic Question Usability Evaluation Toolkit. AIED (2) 2024: 31-46 - [c98]John C. Stamper, Ruiwei Xiao, Xinying Hou:
Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences. AIED Companion (1) 2024: 32-43 - [c97]Ruiwei Xiao, Xinying Hou, John C. Stamper:
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices. CHI Extended Abstracts 2024: 142:1-142:10 - [c96]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: 664:1-664:15 - [c95]Marshall An, Mufei He, Wei Yao, John C. Stamper:
Singular Action, Complex Cognition: An Intelligent Tutoring System in Riichi Mahjong. EC-TEL (2) 2024: 51-56 - [c94]Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John C. Stamper, Michael Liut:
A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. CSEDM@EDM 2024 - [c93]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: 86-97 - [c92]Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. L@S 2024: 122-133 - [c91]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: 559-562 - [i7]Ruiwei Xiao, Xinying Hou, John C. Stamper:
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices. CoRR abs/2404.02213 (2024) - [i6]John C. Stamper, Ruiwei Xiao, Xinying Hou:
Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences. CoRR abs/2405.04645 (2024) - [i5]Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. CoRR abs/2405.20526 (2024) - [i4]Steven Moore, Eamon Costello, Huy Anh Nguyen, John C. Stamper:
An Automatic Question Usability Evaluation Toolkit. CoRR abs/2405.20529 (2024) - [i3]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 abs/2406.07571 (2024) - 2023
- [j11]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: 100151 (2023) - [c90]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:
Empowering Education with LLMs - The Next-Gen Interface and Content Generation. AIED (Posters/Late Breaking Results/...) 2023: 32-37 - [c89]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: 681-687 - [c88]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: 229-245 - [c87]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: 23-29 - [c86]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: 25-34 - [c85]Gonçalo Ferreira, Eva Oliveira, John C. Stamper, António Coelho, Hugo Paredes, Nuno F. Rodrigues:
A Human-Computer Interaction Perspective on Clinical Decision Support Systems: A Systematic Review of Usability, Barriers, and Recommendations for Improvement. SeGAH 2023: 1-8 - [c84]Eva Oliveira, Paulo Pacheco, Fátima Santos, João Coimbra, John C. Stamper, António Coelho, Hugo Paredes, Joana Alves, Nuno Feixa Rodrigues:
The Role of Kiosks on Health Services: A Systematic Review. SeGAH 2023: 1-6 - [e7]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:
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. CEUR Workshop Proceedings 3487, CEUR-WS.org 2023 [contents] - [e6]Steven Moore, John C. Stamper, Paul Denny, Hassan Khosravi, Christopher Brooks:
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. CEUR Workshop Proceedings 3410, CEUR-WS.org 2023 [contents] - [i2]Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper:
Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation. CoRR abs/2306.06386 (2023) - [i1]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 abs/2307.08161 (2023) - 2022
- [c83]Nicholas Diana, John C. Stamper, Ken Koedinger, Jessica Hammer:
Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction. AIED (1) 2022: 140-152 - [c82]Nicholas Diana, John C. Stamper:
Reducing Bias in a Misinformation Classification Task with Value-Adaptive Instruction. AIED (1) 2022: 567-572 - [c81]Steven Moore, Huy Anh Nguyen, Norman L. Bier, Tanvi Domadia, John C. Stamper:
Assessing the Quality of Student-Generated Short Answer Questions Using GPT-3. EC-TEL 2022: 243-257 - [c80]Huy Anh Nguyen, Shravya Bhat, Steven Moore, Norman L. Bier, John C. Stamper:
Towards Generalized Methods for Automatic Question Generation in Educational Domains. EC-TEL 2022: 272-284 - [c79]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 - [c78]Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi:
Learnersourcing: Student-generated Content @ Scale. L@S 2022: 259-262 - 2021
- [c77]Huy Anh 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: 632-638 - [c76]Steven Moore, Huy Anh Nguyen, John C. Stamper:
Examining the Effects of Student Participation and Performance on the Quality of Learnersourcing Multiple-Choice Questions. L@S 2021: 209-220 - 2020
- [c75]Steven Moore, Huy Anh Nguyen, John C. Stamper:
Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations. AIED (1) 2020: 398-410 - [c74]Huy Anh Nguyen, Yuqing Guo, John C. Stamper, Bruce M. McLaren:
Improving Students' Problem-Solving Flexibility in Non-routine Mathematics. AIED (2) 2020: 409-413 - [c73]Nicholas Diana, John C. Stamper, Ken Koedinger:
Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks. CHI 2020: 1-11 - [c72]Nicholas Diana, Jessica Hammer, John C. Stamper, Kenneth R. Koedinger:
Persuasion Invasion: Reducing Bias with Value-Adaptive Instruction. CHI PLAY (Companion) 2020: 50-53 - [c71]Huy Anh 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 - [c70]Steven Moore, Huy Anh Nguyen, John C. Stamper:
Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components. ICLS 2020 - [c69]Steven Moore, Huy Anh Nguyen, John C. Stamper:
Towards Crowdsourcing the Identification of Knowledge Components. L@S 2020: 245-248 - [c68]Steven Moore, John C. Stamper, Norman L. Bier, Mary Jean Blink:
A Human-Centered Approach to Data Driven Iterative Course Improvement. REV 2020: 742-761
2010 – 2019
- 2019
- [j10]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): 99-109 (2019) - [c67]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: 62-66 - [c66]John C. Stamper, Steven Moore:
Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise. AIED (2) 2019: 269-274 - [c65]Yeyu Wang, Huy Anh 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: 518-531 - [c64]Nicholas Diana, John C. Stamper, Ken Koedinger:
Predicting Bias in the Evaluation of Unlabeled Political Arguments. CogSci 2019: 1640-1646 - [c63]Steven Moore, John C. Stamper:
Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games. EDM (Workshops) 2019: 30-37 - [c62]Huy Anh Nguyen, John C. Stamper, Bruce M. McLaren:
Towards Modeling Students' Problem-solving Skills in Non-routine Mathematics Problems. EDM 2019 - [c61]Huy Anh Nguyen, Yeyu Wang, John C. Stamper, Bruce M. McLaren:
Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game. EDM 2019 - [c60]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 - [c59]Steven Moore, John C. Stamper:
Decision Support for an Adversarial Game Environment Using Automatic Hint Generation. ITS 2019: 82-88 - 2018
- [j9]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) - [c58]Nicholas Diana, John C. Stamper, Ken Koedinger:
An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System. AIED (1) 2018: 86-97 - [c57]Michael Eagle, Ted Carmichael, Jessica Stokes, Mary Jean Blink, John C. Stamper, Jason Levin:
Predictive Student Modeling for Interventions in Online Classes. EDM 2018 - [c56]Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren:
Predicting Individualized Learner Models Across Tutor Lessons. EDM 2018 - [c55]Ted Carmichael, Mary Jean Blink, John C. Stamper, Elizabeth Gieske:
Linkage Objects for Generalized Instruction in Coding (LOGIC). FLAIRS 2018: 443-446 - [c54]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 - [c53]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: 16-20 - 2017
- [j8]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): 14:1-14:25 (2017) - [c52]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: 490-493 - [c51]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: 494-497 - [c50]Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger:
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. AIED 2017: 605-608 - [c49]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 - [c48]Nicholas Diana, John C. Stamper, Kenneth R. Koedinger:
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. EDM 2017 - [c47]Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr.:
Sharing and Reusing Data and Analytic Methods with LearnSphere. EDM 2017 - [c46]Ran Liu, John C. Stamper:
Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System. MMLA-CrossLAK@LAK 2017: 47-52 - [c45]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: 272-279 - [c44]Charles Lang, Stephanie D. Teasley, John C. Stamper:
Building the learning analytics curriculum: workshop. LAK 2017: 520-521 - [c43]Ken Koedinger, Ran Liu, John C. Stamper, Candace Thille, Phil Pavlik:
Community based educational data repositories and analysis tools. LAK 2017: 524-525 - [c42]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: 530-531 - [c41]Charles Lang, Stephanie D. Teasley, John C. Stamper:
Building the Learning Analytics Curriculum. MLA/BLAC@LAK 2017 - [e5]Yoav Bergner, Charles Lang, Geraldine Gray, Stephanie D. Teasley, John C. Stamper:
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. CEUR Workshop Proceedings 1915, CEUR-WS.org 2017 [contents] - 2016
- [j7]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): 312-316 (2016) - [c40]Ran Liu, Jodi L. Davenport, John C. Stamper:
Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement. EDM 2016: 436-441 - [c39]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: 583-584 - [c38]Noboru Matsuda, Sanjay Chandrasekaran, John C. Stamper:
How quickly can wheel spinning be detected? EDM 2016: 607-608 - [c37]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: 133-143 - [c36]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: 55-63 - [e4]Alessandro Micarelli, John C. Stamper, Kitty Panourgia:
Intelligent Tutoring Systems - 13th International Conference, ITS 2016, Zagreb, Croatia, June 7-10, 2016. Proceedings. Lecture Notes in Computer Science 9684, Springer 2016, ISBN 978-3-319-39582-1 [contents] - 2015
- [c35]Ryan S. Baker, John Carney, Piotr Mitros, Bror Saxberg, John C. Stamper:
The Future of Practical Applications of EDM at Scale. EDM 2015: 11 - [c34]Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaïane:
Ethics and Privacy in EDM. EDM 2015: 13 - 2014
- [j6]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): 3:1-3:13 (2014) - [c33]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: 623-624 - [c32]Mary Jean Blink, John C. Stamper, Ted Carmichael:
SCALE: Student Centered Adaptive Learning Engine. Intelligent Tutoring Systems 2014: 654-655 - [e3]John C. Stamper, Zachary A. Pardos, Manolis Mavrikis, Bruce M. McLaren:
Proceedings of the 7th International Conference on Educational Data Mining, EDM 2014, London, UK, July 4-7, 2014. International Educational Data Mining Society (IEDMS) 2014, ISBN 978-0-9839-5254-1 [contents] - 2013
- [j5]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): 3-17 (2013) - [j4]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): 27-41 (2013) - [j3]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): 668-669 (2013) - [c31]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 - [c30]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: 421-430 - [c29]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 - [c28]Matthew W. Johnson, Michael Eagle, John C. Stamper, Tiffany Barnes:
An Algorithm for Reducing the Complexity of Interaction Networks. EDM 2013: 248-251 - [c27]John C. Stamper, Kenneth R. Koedinger, Elizabeth A. McLaughlin:
A Comparison of Model Selection Metrics in DataShop. EDM 2013: 284-287 - [c26]Jaime Spacco, Davide Fossati, John C. Stamper, Kelly Rivers:
Towards improving programming habits to create better computer science course outcomes. ITiCSE 2013: 243-248 - [c25]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: 742 - 2012
- [c24]Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper:
Automated Student Model Improvement. EDM 2012: 17-24 - [c23]John C. Stamper, Derek Lomas, Dixie Ching, Steven Ritter, Kenneth R. Koedinger, Jonathan Steinhart:
The Rise of the Super Experiment. EDM 2012: 196-200 - [c22]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: 304-309 - [c21]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: 588-590 - [c20]Steven Ritter, Tristan Nixon, Derek Lomas, John C. Stamper, Dixie Ching:
Using Time Pressure to Promote Mathematical Fluency. ITS 2012: 669-670 - [c19]Ryan Shaun Joazeiro de Baker, Simon Buckingham Shum, Erik Duval, John C. Stamper, David A. Wiley:
Educational data mining meets learning analytics. LAK 2012: 20 - [e2]Kalina Yacef, Osmar R. Zaïane, Arnon Hershkovitz, Michael Yudelson, John C. Stamper:
Proceedings of the 5th International Conference on Educational Data Mining, Chania, Greece, June 19-21, 2012. www.educationaldatamining.org 2012, ISBN 978-1-74210-276-4 [contents] - 2011
- [j2]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): 153-167 (2011) - [c18]John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy:
Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. AIED 2011: 345-352 - [c17]John C. Stamper, Kenneth R. Koedinger:
Human-Machine Student Model Discovery and Improvement Using DataShop. AIED 2011: 353-360 - [c16]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: 557-559 - [c15]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: 628 - [c14]John C. Stamper:
EDM and the 4th Paradigm of Scientific Discovery - Reflections on KDD Cup 2010. EDM 2011: 7 - [c13]Kenneth R. Koedinger, Philip I. Pavlik Jr., John C. Stamper, Tristan Nixon, Steven Ritter:
Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing. EDM 2011: 91-100 - [e1]Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper:
Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011. www.educationaldatamining.org 2011, ISBN 978-90-386-2537-9 [contents] - 2010
- [j1]Tiffany Barnes, John C. Stamper:
Automatic Hint Generation for Logic Proof Tutoring Using Historical Data. J. Educ. Technol. Soc. 13(1): 3-12 (2010) - [c12]Kenneth R. Koedinger, John C. Stamper:
A Data Driven Approach to the Discovery of Better Cognitive Models. EDM 2010: 325-326 - [c11]John C. Stamper, Tiffany Barnes, Marvin J. Croy:
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems. EDM 2010: 327-328 - [c10]John C. Stamper, Tiffany Barnes, Marvin J. Croy:
Enhancing the Automatic Generation of Hints with Expert Seeding. Intelligent Tutoring Systems (2) 2010: 31-40 - [c9]John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Jim Rankin, Sandy Demi:
PSLC DataShop: A Data Analysis Service for the Learning Science Community. Intelligent Tutoring Systems (2) 2010: 455
2000 – 2009
- 2009
- [c8]John C. Stamper, Tiffany Barnes:
Utility in hint generation: Selection of hints from a corpus of student work. AIED 2009: 749-751 - [c7]John C. Stamper, Tiffany Barnes:
An unsupervised, frequency-based metric for selecting hints in an MDP-based tutor. EDM 2009: 181-190 - 2008
- [c6]John C. Stamper, Tiffany Barnes:
The Validity of Providing Automated Hints in an ITS Using a MDP. AAAI 2008: 1830-1831 - [c5]Tiffany Barnes, John C. Stamper, Lorrie Lehmann, Marvin J. Croy:
A pilot study on logic proof tutoring using hints generated from historical student data. EDM 2008: 197-201 - [c4]Tiffany Barnes, John C. Stamper:
Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data. Intelligent Tutoring Systems 2008: 373-382 - 2007
- [c3]John C. Stamper, Tiffany Barnes, Marvin J. Croy:
Extracting Student Models for Intelligent Tutoring Systems. AAAI 2007: 1900-1901 - [c2]John C. Stamper:
Automating the Generation of Student Models for Intelligent Tutoring Systems. AIED 2007: 701-702 - 2005
- [c1]Ivan Howitt, John C. Stamper, Anita Raja, Verghese Mappillai:
Predictive protocol management with contingency planning for wireless sensor networks. MASS 2005
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-10-31 20:11 CET by the dblp team
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