Publications



            @inproceedings{musabirov2025xprize,
              title={Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge},
              author={Musabirov, Ilya and Reza, Mohi and Song, Haochen and Moore, Steven and Chen, Pan and Kumar, Harsh and Li, Tong and Stamper, John and Bier, Norman and Rafferty, Anna and others},
              booktitle={Proceedings of the 15th International Learning Analytics and Knowledge Conference},
              pages={13--23},
              year={2025},
              organization={Association for Computing Machinery, Inc.},
              url={https://dev.stamper.org/publications/LAK2025-XPrize.pdf}
            }

            @inproceedings{butler2025does,
              title={Does the Doer Effect Generalize To Non-WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning},
              author={Butler, Darren and Borchers, Conrad and Asher, Michael and Lee, Yongmin and Karnataki, Sonya and Dangi, Sameeksha and Athreya, Samyukta and Stamper, John and Ogan, Amy and Carvalho, Paulo},
              booktitle={Proceedings of the 15th International Learning Analytics and Knowledge Conference},
              pages={844--850},
              year={2025},
              organization={Association for Computing Machinery, Inc.},
              url={https://dev.stamper.org/publications/LAK2025-Butler.pdf}
            }
            
            @inproceedings{xiao2025activeai,
              title={ActiveAI: Enabling K-12 AI Literacy Education \& Analytics at Scale},
              author={Xiao, Ruiwei and Tseng, Ying-Jui and Li, Hanqi and Nieu, Hsuan and Liao, Guanze and Stamper, John and Koedinger, Kenneth},
              booktitle={Companion Proceedings of the 15th International Learning Analytics and Knowledge Conference},
              year={2025},
              organization={Association for Computing Machinery, Inc.},
              url={https://dev.stamper.org/publications/LAK2025-Xiao-poster.pdf}
            }
            
            @article{stamper2024learnsphere,
              title={LearnSphere: A Learning Data and Analytics CyberInfrastructure},
              author={Stamper, John and Moore, Steven and Rose, Carolyn and Pavlik, Philip and Koedinger, Kenneth},
              journal={Journal of Educational Data Mining},
              volume={16},
              number={1},
              pages={141--163},
              year={2024}, 
              url={https://dev.stamper.org/publications/JEDM2024_Stamper_et_al.pdf}
            }
            
            @inproceedings{moore2024assessing,
              title={Assessing Educational Quality: Comparative Analysis of Crowdsourced, Expert, and AI-Driven Rubric Applications},
              author={Moore, Steven and Bier, Norman and Stamper, John},
              booktitle={Proceedings of the AAAI Conference on Human Computation and Crowdsourcing},
              volume={12},
              pages={115--125},
              year={2024},
              url={https://dev.stamper.org/publications/HCOMP2024_Moore_et_al.pdf}
            }
            
            @inproceedings{an2024singular,
              title={Singular Action, Complex Cognition: An Intelligent Tutoring System in Riichi Mahjong},
              author={An, Marshall and He, Mufei and Yao, Wei and Stamper, John},
              booktitle={European Conference on Technology Enhanced Learning},
              pages={51--56},
              year={2024},
              organization={Springer},
              url={https://dev.stamper.org/publications/ECTEL2024_An_et_al.pdf}
            }
            
            @inproceedings{xaio2024csedm,
              title={Learner-Centered Design of LLM-Based Tutoring Systems in Education: Insights from a Large-Scale Classroom Deployment},
              author={Xiao, Ruiwei and Hou, Xinying and Kumar, Harsh and Moore, Steven and Stamper, John and Liut, Michael},
              booktitle={Proceedings of the 8th Educational Data Mining in Computer Science Education (CSEDM) Workshop},
              year={2024}, 
              url={https://dev.stamper.org/publications/CSEDM2024_Xiao_et_al.pdf}
            }
            
            @inproceedings{kumar2024supporting,
              title={Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms},
              author={Kumar, Harsh and Xiao, Ruiwei and Lawson, Benjamin and Musabirov, Ilya and Shi, Jiakai and Wang, Xinyuan and Luo, Huayin and Williams, Joseph Jay and Rafferty, Anna and Stamper, John and others},
              booktitle={Proceedings of the Eleventh ACM Conference on Learning@ Scale},
              pages={86--97},
              year={2024},
              url={https://dev.stamper.org/publications/LatS2024Kumaretal.pdf}
            }
            
            @inproceedings{moore2024automated,
              title={Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions},
              author={Moore, Steven and Schmucker, Robin and Mitchell, Tom and Stamper, John},
              booktitle={Proceedings of the Eleventh ACM Conference on Learning@ Scale},
              pages={122--133},
              year={2024},
              url={https://dev.stamper.org/publications/LatS2024Mooreetal.pdf}
            }
            
            @inproceedings{stamper2024enhancing,
              title={Enhancing llm-based feedback: Insights from intelligent tutoring systems and the learning sciences},
              author={Stamper, John and Xiao, Ruiwei and Hou, Xinying},
              booktitle={International Conference on Artificial Intelligence in Education},
              pages={32--43},
              year={2024},
              organization={Springer}, 
              url={https://dev.stamper.org/publications/AIED2024_Stamper_et_al.pdf}
            }
            
            @inproceedings{moore2024automatic,
              title={An Automatic Question Usability Evaluation Toolkit},
              author={Moore, Steven and Costello, Eamon and Nguyen, Huy A and Stamper, John},
              booktitle={International Conference on Artificial Intelligence in Education},
              pages={31--46},
              year={2024},
              organization={Springer}, 
              url={https://dev.stamper.org/publications/AIED2024_Moore_et_al.pdf}
            }
            
            @inproceedings{kwon2024schema,
              title={A Schema-Based Approach to the Linkage of Multimodal Learning Sources with Generative AI},
              author={Kwon, Christine and King, James and Carney, John and Stamper, John},
              booktitle={International Conference on Artificial Intelligence in Education},
              pages={3--10},
              year={2024},
              organization={Springer}, 
              url={https://dev.stamper.org/publications/AIED2024_Kwon_et_al.pdf}
            }
            
            @inproceedings{chen2024t4e,
              title={Cultural Dimensions in Learning Engineering: Redesigning Courses for Industrial Training Institutes},
              author={Chen, Meiyi and Domadia, Tanvi and Stein ,Abigail and Bier, Norman and Stamper, John},
              booktitle={The International Conference on Technology for Education (T4E 2024),},
              year={2024},
              organization={Springer}, 
              url={https://dev.stamper.org/publications/T4E2024_Chenetal.pdf}
            }
            
            @inproceedings{moore2024learnersourcing,
              title={Learnersourcing: Student-generated Content@ Scale: 2nd Annual Workshop},
              author={Moore, Steven and Singh, Anjali and Lu, Xinyi and Jin, Hyoungwook and Khosravi, Hassan and Denny, Paul and Brooks, Christopher and Wang, Xu and Kim, Juho and Stamper, John},
              booktitle={Proceedings of the Eleventh ACM Conference on Learning@ Scale},
              pages={559--562},
              year={2024}
            }
            
            @inproceedings{kwon2024investigating,
              title={Investigating Demographics and Motivation in Engineering Education Using Radio and Phone-Based Educational Technologies},
              author={Kwon, Christine and Butler, Darren and Uchidiuno, Judith Odili and Stamper, John and Ogan, Amy},
              booktitle={Proceedings of the CHI Conference on Human Factors in Computing Systems},
              pages={1--15},
              year={2024},
              url={https://dev.stamper.org/publications/CHI24-Kwon.pdf}
            }
            
            @inproceedings{xiao2024exploring,
              title={Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices},
              author={Xiao, Ruiwei and Hou, Xinying and Stamper, John},
              booktitle={Extended Abstracts of the CHI Conference on Human Factors in Computing Systems},
              pages={1--10},
              year={2024},
              url={https://dev.stamper.org/publications/CHI24-Xiao.pdf}
            }
            
            @article{wei2024uncovering,
              title={Uncovering Name-Based Biases in Large Language Models Through Simulated Trust Game},
              author={Wei, Yumou and Carvalho, Paulo F and Stamper, John},
              journal={arXiv preprint arXiv:2404.14682},
              year={2024},
              url={https://arxiv.org/abs/2404.14682}
            }

            @article{khosravi2023learnersourcing,
              title={Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation},
              author={Khosravi, Hassan and Denny, Paul and Moore, Steven and Stamper, John},
              journal={Computers and Education: Artificial Intelligence},
              pages={100--151},
              year={2023},
              publisher={Elsevier},
              url={https://arxiv.org/pdf/2306.06386.pdf}
            }
            
            @inproceedings{moore2023assessing,
              title={Assessing the quality of multiple-choice questions using gpt-4 and rule-based methods},
              author={Moore, Steven and Nguyen, Huy A and Chen, Tianying and Stamper, John},
              booktitle={European Conference on Technology Enhanced Learning},
              pages={229--245},
              year={2023},
              url ={https://dev.stamper.org/publications/ECTEL23-Moore.pdf},
              organization={Springer}
            }
            
            @inproceedings{ittsec2023King,
              title={AI/ML-Driven Content Repository Maintenance},
              author={Carney, John and Belmont, Nancy and King, James and Stamper, John and Kwon, Christine},
              booktitle={Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC)},
              year={2023},
              url ={https://dev.stamper.org/publications/ittsec2023King.pdf},
              organization={NTSA}
            }
            
            @inproceedings{ferreira2023human,
              title={A Human-Computer Interaction Perspective on Clinical Decision Support Systems: A Systematic Review of Usability, Barriers, and Recommendations for Improvement},
              author={Ferreira, Goncalo and Oliveira, Eva and Stamper, John and Coelho, Antonio and Paredes, Hugo and Rodrigues, Nuno F},
              booktitle={2023 IEEE 11th International Conference on Serious Games and Applications for Health (SeGAH)},
              year={2023},
              url ={https://dev.stamper.org/publications/SeGAH-1.pdf},
              organization={IEEE}
            }
            
            @inproceedings{oliveira2023role,
              title={The Role of Kiosks on Health Services: A Systematic Review},
              author={Oliveira, Eva and Pacheco, Paulo and Santos, Fatima and Coimbra, Joao and Stamper, John and Coelho, Antonio and Paredes, Hugo and Alves, Joana and Rodrigues, Nuno Feixa},
              booktitle={2023 IEEE 11th International Conference on Serious Games and Applications for Health (SeGAH)},
              year={2023},
              url ={https://dev.stamper.org/publications/SeGAH-2.pdf},
              organization={IEEE}
            }            
            
            @inproceedings{LS2023Moore,
              url ="https://dev.stamper.org/publications/LS2023Moore.pdf",
              title={Crowdsourcing the Evaluation of Multiple-Choice Questions Using Item-Writing Flaws and Bloom's Taxonomy},
              author={Moore, Steven and Nguyen, Huy Anh and Stamper, John},
              booktitle={Proceedings of the Tenth ACM Conference on Learning@ Scale},
              year={2023}
            }
          
            @inproceedings{moore2023ICLS,
              url ="https://dev.stamper.org/publications/MooreICLS2023.pdf",
              publisher ="International Society of the Learning Sciences",
              booktitle ="Proceedings of the 17th International Conference of the Learning Sciences",
              year ="2023",
              title ="Who Writes Tomorrow’s Learning Activities? Exploring Community College Student Participation in Learnersourcing",
              author ="Moore, Steven and Nguyen, Huy and Bier, Norman and Domadia, Tanvi and Stamper, John",
            }
          
            @inproceedings{AIED2023Huy,
              url ="https://dev.stamper.org/publications/AIED2023Huy.pdf",
              publisher ="Springer",
              booktitle ="Proceedings of the International Conference on Artificial Intelligence in Education",
              year ="2023",
              author ="Nguyen, Huy and Hou, Xinying and Stec, Hayden and Di, Sarah and Stamper, John and McLaren, Bruce",
              title ="Examining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning Game"
            }
            
            @inproceedings{AIED23-LLM-Workshop,
              url ="https://dev.stamper.org/publications/AIED23-LLM-Workshop.pdf",
              publisher ="Springer",
              booktitle ="Proceedings of the International Conference on Artificial Intelligence in Education",
              year ="2023",
              author ="Moore, Steven and Tong, Richard and Singh, Anjali and Liu, Zitao and Hu, Xiangen and Lu, Yu and Liang, Joleen and Cao, Chen and Denny, Paul and Khosravi, Hassan and Brooks, Christopher and Stamper, John",
              title ="Empowering Education with LLMs - the Next-Gen Interface and Content Generation"
            }
          
            @InProceedings{AI4ED_stamper,
              author="Stamper, John and Gaind, Bharat and Thankachan, Karun and Nguyen, Huy and Moore, Steven",
              title="Hierarchical Concept Map Generation from Course Data",
              booktitle="AAAI 2023 Workshop on Artificial Intelligence in Education (AI4Edu)",
              year="2023",
              month="2",
              url="http://dev.stamper.org/publications/Stamper2023Hierarchical.pdf"
            }
          
            @inproceedings{icce2023-focal,
              title={Focal: A Proposed Method of Leveraging LLMs for Automating Assessments},
              author={Meyers, Peter and Han, Peter and Grewala, Razik and Potnisa, Mitali and Stamper, John},
              booktitle={31st International Conference on Computers in Education Conference Vol II, ICCE 2023},
              pages={349--358},
              year={2023},
              organization={Asia-Pacific Society for Computers in Education},
              url={http://dev.stamper.org/publications/ICCE2023-Focal.pdf}
            }
          
            @inproceedings{icce2023-japan,
              title={Tracking Knowledge for Learning Japanese as a 2nd Language},
              author={Okimoto, Tomoko and Johnson, Matthew and Nguyen, Huy and Moore, Steven and Eagle,  Michael and Stamper, John},
              booktitle={31st International Conference on Computers in Education Conference Vol I, ICCE 2023},
              pages={766--768},
              year={2023},
              organization={Asia-Pacific Society for Computers in Education},
              url={http://dev.stamper.org/publications/ICCE2023-Paper-Poster.pdf}
            }
          
            @InProceedings{CROSSMMLA_LAK23,
              author="Kwon, Christine and Stamper, John and King, James and Lam, Joanie and Carney, John",
              title="Multimodal Data Support in Knowledge Objects for Real-time Knowledge Sharing",
              booktitle="Proceedings of CROSSMMLA Workshop at the 13th International Conference on Learning Analytics & Knowledge",
              year="2023",
              month="3",
              url="http://dev.stamper.org/publications/CROSSMMLA_LAK23.pdf"
            }
          
            @InProceedings{LAK23_companion_Yiya,
              author="Kwon, Christine and Butler, Ren and Stamper, John and Ogan, Amy and Forcier, Angela and Fitzgerald, Erin and Wambuzi, Samson",
              title="Learning Analytics for Last Mile Students in Africa",
              booktitle="Companion Proceedings 13th International Conference on Learning Analytics & Knowledge",
              year="2023",
              month="3",
              pages="153--155",
              url="http://dev.stamper.org/publications/LAK23_companion_Kwon_et_al.pdf"
            }
          
            @InProceedings{LAK23_companion_Moore,
              author="Moore, Steven and Nguyen, Huy and Stamper, John",
              title="Students’ Domain Confidence and their Participation in Optional Learnersourcing Activities",
              booktitle="Companion Proceedings 13th International Conference on Learning Analytics & Knowledge",
              year="2023",
              month="3",
              pages="147--149",
              url="http://dev.stamper.org/publications/LAK23_companion_Moore_et_al.pdf"
            }
          
            @inproceedings{moore2023workshop,
              title={Workshop on Empowering Education with LLMs-the Next-Gen Interface and Content Generation},
              author={Moore, Steven and Tong, Richard and Singh, Anjali and Liu, Zitao and Hu, Xiangen and Lu, Yu and Liang, Joleen and Cao, Chen and Khosravi, Hassan and Denny, Paul and Brooks, Chris and Stamper, John},
              booktitle={CEUR Workshop Proceedings},
              volume={3487},
              pages={32--37},
              year={2023},
              organization={CEUR-WS}, 
              url={https://ceur-ws.org/Vol-3487/xpreface.pdf}
            }
          
            @InProceedings{LAK23_companion_Bier,
              author="Bier, Norman and Stamper, John and Moore, Steven and Siegel, Darren and Anbar, Ariel",
              title="OLI Torus: a next-generation, open platform for adaptive courseware development, delivery, and research",
              booktitle="Companion Proceedings 13th International Conference on Learning Analytics & Knowledge",
              year="2023",
              month="3",
              pages="57--60",
              url="http://dev.stamper.org/publications/LAK23_companion_Bier_et_al.pdf"
            }

            @inproceedings{2022.EDM-posters.85,
              abstract = {While Question-Answering (QA) has been a longtime area of interest for NLP and ML groups, Question Generation (QG) has been less of a focus, but has begun to generate more research in the last few years. QG specifically for education is a more narrow focus, but one that is important and holds great promise. In this work, we present a pipeline for generating and evaluating multiple-choice questions from text-based learning materials in an introductory data science course. We applied a T5 question generation model and a concept hierarchy extraction model on the text content, then ranked the generated questions based on their relevance to the resulting knowledge graph. Our evaluation with the course instructors show that the majority of high-ranked questions have acceptable quality and can be deployed in future iterations of the course. We conclude with discussions on the next steps towards refining the pipeline and promoting NLP research in educational domains.},
              address = {Durham, United Kingdom},
              url = {https://dev.stamper.org/publications/2022EDM-posters85.pdf},
              author = {Bhat, Shravya and Nguyen, Huy and Moore, Steven and Stamper, John and Sakr, Majd and Nyberg, Eric},
              booktitle = {Proceedings of the 15th International Conference on Educational Data Mining},
              doi = {10.5281/zenodo.6853085},
              editor = {Antonija Mitrovic and Nigel Bosch},
              isbn = {978-1-7336736-3-1},
              month = {July},
              pages = {701--704},
              publisher = {International Educational Data Mining Society},
              title = {Towards Automated Generation and Evaluation of Questions in Educational Domains},
              year = {2022}
            }

            @inproceedings{diana2022AIEDfull,
              url ="https://www.cs.cmu.edu/~jstamper/publications/AIED2022DianaFullPaper.pdf",
              author="Diana, Nicholas
              and Stamper, John
              and Koedinger, Ken
              and Hammer, Jessica",
              editor="Rodrigo, Maria Mercedes
              and Matsuda, Noburu
              and Cristea, Alexandra I.
              and Dimitrova, Vania",
              title="Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction",
              booktitle="Artificial Intelligence  in Education",
              year="2022",
              publisher="Springer International Publishing",
              address="Cham",
              pages="140--152",
              abstract="While there is a substantial appetite in the United States for improving media consumption skills, little work has focused on the biases that can make inaccurate or misleading claims feel true. This skill is particularly difficult to teach, as effective instruction requires the instructor to adapt course content to the specific beliefs of individual students, a process that is unscalable in most classrooms. Here we examine the impact of a novel method of user-centered personalized instruction that uses value-adaptivity to highlight and address user bias in the context of a civics education game. This intervention uses estimates of player and content values to predict when players may be most susceptible to biased reasoning and then intervene in those instances. We found that the intervention successfully reduced bias among high bias-regulators with practice. These results suggest that value-adaptive systems may be able to support debiasing instruction in an effective, scalable way.",
              isbn="978-3-031-11644-5"
            }
              
            @inproceedings{diana2022AIEDShort,
              url ="https://www.cs.cmu.edu/~jstamper/publications/AIED2022DianaShortPaper.pdf",
              author="Diana, Nicholas
              and Stamper, John",
              editor="Rodrigo, Maria Mercedes
              and Matsuda, Noburu
              and Cristea, Alexandra I.
              and Dimitrova, Vania",
              title="Reducing Bias in a Misinformation Classification Task with Value-Adaptive Instruction",
              booktitle="Artificial Intelligence  in Education",
              year="2022",
              publisher="Springer International Publishing",
              address="Cham",
              pages="567--572",
              abstract="Instructional technology that supports the development of media literacy skills has garnered increased attention in the wake of recent misinformation campaigns. While critical, this work often ignores the role of myside bias in the acceptance and propagation of misinformation. Here we present results from an alternative approach that uses natural language processing to model the dynamic relationship between the user and the content they are consuming. This model powers a debiasing intervention in the context of a ``fake news detection'' task. Information about the user- and content-values was used to predict when the user may be prone to myside bias. The intervention resulted in significantly better performance on the misinformation classification task. These results support the development of content-general and embedded debiasing systems that could encourage informal learning and bias reduction in real-world contexts.",
              isbn="978-3-031-11644-5"
            }

            @inproceedings{moore2020human,
              title={A Human-Centered Approach to Data Driven Iterative Course Improvement},
              author={Moore, Steven and Stamper, John and Bier, Norman and Blink, Mary Jean},
              booktitle={International Conference on Remote Engineering and Virtual Instrumentation},
              pages={742--761},
              year={2020},
              organization={Springer},
              url = {papers/REV2020_HumanCentered.pdf}
            }

            @inproceedings{moore2022ICLS1,
              pages ="791--798",
              url ="https://dev.stamper.org/publications/MooreICLS2022.pdf",
              publisher ="International Society of the Learning Sciences",
              booktitle ="Proceedings of the 16th International Conference of the Learning Sciences",
              year ="2022",
              title ="Leveraging Students to Generate Skill Tags that Inform Learning Analytics",
              author ="Moore, Steven and Nguyen, Huy and Stamper, John",
            }
          
            @inproceedings{moore2022ICLS2,
              pages ="1381--1384",
              url ="https://dev.stamper.org/publications/MooreShortICLS2022.pdf",
              publisher ="International Society of the Learning Sciences",
              booktitle ="Proceedings of the 16th International Conference of the Learning Sciences",
              year ="2022",
              title ="Participation and Success with Optional Self-Explanation for Students in Online Undergraduate Chemistry Courses",
              author ="Moore, Steven and Nguyen, Huy and Stamper, John",
            }

            @InProceedings{10.1007/978-3-031-16290-9_18,
              author="Moore, Steven and Nguyen, Huy A. and Bier, Norman and Domadia, Tanvi and Stamper, John",
              title="Assessing the Quality of Student-Generated Short Answer Questions Using GPT-3",
              booktitle="Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption",
              year="2022",
              publisher="Springer International Publishing",
              address="Cham",
              pages="243--257",
              url = "https://dev.stamper.org/publications/MooreEctel2022.pdf",
              isbn="978-3-031-16290-9"
            }
          
            @InProceedings{10.1007/978-3-031-16290-9_20,
              author="Nguyen, Huy A.
              and Bhat, Shravya
              and Moore, Steven
              and Bier, Norman
              and Stamper, John",
              title="Towards Generalized Methods for Automatic Question Generation in Educational Domains",
              booktitle="Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption",
              year="2022",
              publisher="Springer International Publishing",
              address="Cham",
              pages="272--284",
              url = "https://dev.stamper.org/publications/HuyECTEL2022.pdf",
              isbn="978-3-031-16290-9"
            }    

            @inproceedings{lats2022moore,
              author = "Moore, Steven and Stamper, John and Brooks, Christopher and Denny, Paul and Khosravi, Hassan",
              title = "Learnersourcing: Student-Generated Content @ Scale",
              year = "2022",
              publisher = "Association for Computing Machinery",
              url = "https://dev.stamper.org/publications/LSWorkshop2022.pdf",
              booktitle = "Proceedings of the Ninth ACM Conference on Learning @ Scale",
              pages = "259--262"
            }

            @inproceedings{CTESTEM2022,
              url = {https://dev.stamper.org/publications/CTESTEM2022.pdf},
              title={Developing a Continuous, Rather Than Binary, Classification for Measuring STEM Jobs},
              author={Carmichael, Ted and Stamper, John and Carney, John},
              booktitle={6th APSCE International Conference on Computational Thinking and STEM Education 2022 (CTE-STEM 2022)},
              year={2022}
            }

            @inproceedings{moore2021examining,
              url ="https://www.cs.cmu.edu/~hn1/papers/LS2021_ExaminingEffects.pdf",
              title={Examining the Effects of Student Participation and Performance on the Quality of Learnersourcing Multiple-Choice Questions},
              author={Moore, Steven and Nguyen, Huy Anh and Stamper, John},
              booktitle={Proceedings of the Eighth ACM Conference on Learning@ Scale},
              pages={209--220},
              year={2021}
            }
            
            @inproceedings{nguyen2021exploring,
              url = "https://www.cs.cmu.edu/~hn1/papers/LAK2021_ExploringMetrics.pdf",
              title={Exploring Metrics for the Analysis of Code Submissions in an Introductory Data Science Course},
              author={Nguyen, Huy and Lim, Michelle and Moore, Steven and Nyberg, Eric and Sakr, Majd and Stamper, John},
              booktitle={LAK21: 11th International Learning Analytics and Knowledge Conference},
              pages={632--638},
              year={2021}
            }
            
            @inproceedings{moore2021human,
              url={https://dev.stamper.org/publications/ICL_Moore2021.pdf},
              title={A Human-Centered Approach to Data Driven Iterative Course Improvement},
              author={Moore, Steven and Stamper, John and Bier, Norman and Blink, Mary Jean},
              booktitle={International Conference on Remote Engineering and Virtual Instrumentation},
              pages={742--761},
              year={2021},
              organization={Springer}
            }

            @inproceedings{diana2020persuasion,
              url ="https://nickdiana.com/documents/CHIPlaySGC2020_preprint.pdf", 
              title={Persuasion Invasion: Reducing Bias with Value-Adaptive Instruction},
              author={Diana, Nicholas and Hammer, Jessica and Stamper, John and Koedinger, Kenneth},
              booktitle={Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play},
              pages={50--53},
              year={2020}
            }
            
            @inproceedings{diana2020towards,
              url ="http://nickdiana.com/documents/CHI2020_preprint.pdf",
              year ="2020",
              pages ="1--11",
              booktitle ="Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems",
              author ="Diana, Nicholas and Stamper, John and Koedinger, Kenneth",
              title ="Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks",
            }
            
            @inproceedings{moore2020utilizing,
              title={Utilizing Crowdsourcing and Topic Modeling to Generate Knowledge Components for Math and Writing Problems},
              author={Moore, Steven and Nguyen, Huy and Stamper, John},
              booktitle={Proceedings of the 28th International Conference on Computers in Education},
              pages={31--40},
              year={2020},
              url={https://www.cs.cmu.edu/~hn1/papers/ICCE2020_UtilizingCrowdsourcing.pdf}
            }
            
            @inproceedings{nguyen2020improving,
              pages ="409--413",
              url ="http://cs.cmu.edu/~hn1/papers/AIED2020_ImprovingStudents.pdf",
              publisher ="Springer",
              booktitle ="International Conference on Artificial Intelligence in Education",
              year ="2020",
              author ="Nguyen, Huy and Guo, Yuqing and Stamper, John and McLaren, Bruce",
              title ="Improving Students’ Problem-solving Flexibility in Nonroutine Mathematics",
            }
            
            @inproceedings{nguyen2020moving,
              pages ="487--495",
              url ="http://cs.cmu.edu/~hn1/papers/EDM2020_MovingBeyond.pdf",
              author ="Nguyen, Huy and Hou, Xinying and Stamper, John and McLaren, Bruce",
              booktitle ="Proceedings of the International Conference on Educational Data Mining",
              year ="2020",
              title ="Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics",
            }
            
            @inproceedings{moore2020evaluating,
              pages ="398--410",
              url ="http://cs.cmu.edu/~hn1/papers/AIED2020_EvaluatingCrowdsourcing.pdf",
              publisher ="Springer",
              booktitle ="Proceedings of the International Conference on Artificial Intelligence in Education",
              year ="2020",
              author ="Moore, Steven and Nguyen, Huy and Stamper, John",
              title ="Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations",
            }
            
            @inproceedings{moore2020crowdsourcing1,
              pages ="2627--2628",
              url ="http://cs.cmu.edu/~hn1/papers/ICLS2020_CrowdsourcingExplanations.pdf",
              publisher ="International Society of the Learning Sciences",
              booktitle ="Proceedings of the 15th International Conference of the Learning Sciences",
              year ="2020",
              title ="Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components",
              author ="Moore, Steven and Nguyen, Huy and Stamper, John",
            }
            
            @inproceedings{moore2020crowdsourcing2,
              pages ="245--248",
              url ="http://cs.cmu.edu/~hn1/papers/LS2020_CrowdsourcingIdentification.pdf",
              organization ="ACM",
              booktitle ="Proceedings of the Seventh (2020) ACM Conference on Learning @ Scale",
              year ="2020",
              author ="Moore, Steven and Nguyen, Huy and Stamper, John",
              title ="Towards Crowdsourcing the Identification of Knowledge Component",
            }            

            @phdthesis{diana2019value,
              title={Value-Adaptive Instruction: Improving the Productivity of Civil Discourse and Addressing Bias},
              author={Diana, Nicholas},
              year={2020},
              organization={Human-Computer Interaction Institute},
              school={Carnegie Mellon University},
              type={Thesis},
              url={http://nickdiana.com/documents/Thesis.pdf}
            }

            @article{liu2019learning,
              title={Learning linkages: Integrating data streams of multiple modalities and timescales},
              author={Liu, Ran and Stamper, John and Davenport, Jodi and Crossley, Scott and McNamara, Danielle and Nzinga, Kalonji and Sherin, Bruce},
              journal={Journal of Computer Assisted Learning},
              volume={35},
              number={1},
              pages={99--109},
              year={2019},
              publisher={Wiley Online Library},
              url={https://dev.stamper.org/publications/JCAL19_Liu.pdf}
            }

            @inproceedings{moore2019decision,
              title={Decision support for an adversarial game environment using automatic hint generation},
              author={Moore, Steven and Stamper, John},
              booktitle={International Conference on Intelligent Tutoring Systems},
              pages={82--88},
              year={2019},
              organization={Springer},
              url={https://dev.stamper.org/publications/ITS2019_Moore_and_Stamper.pdf}
            }

            @inproceedings{diana2019online,
              title={Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning},
              author={Diana, Nicholas and Stamper, John and Koedinger, Kenneth},
              booktitle={International Conference on Artificial Intelligence in Education},
              pages={62--66},
              year={2019},
              organization={Springer},
              url={https://dev.stamper.org/publications/AIED2019_Diana_et_al.pdf}
            }

            @inproceedings{nguyen2019using,
                title={Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game},
                year={2019},
                booktitle={International Conference on Educational Data Mining},
                author={Nguyen, Huy and Wang, Yeyu and Stamper, John and McLaren, Bruce M},
                pages={139--148},
                url={http://www.cs.cmu.edu/~hn1/papers/EDM2019_UsingKnowledge.pdf}
            }

            @inproceedings{wang2019learning,
                title={How Does Order of Gameplay Impact Learning and Enjoyment in a Digital Learning Game?},
                author={Wang, Yeyu and Nguyen, Huy and Harpstead, Erik and Stamper, John and McLaren, Bruce M},
                year={2019},
                organization={Springer},
                booktitle={International Conference on Artificial Intelligence in Education},
                pages={518--531},
                url={http://www.cs.cmu.edu/~hn1/papers/AIED2019_HowDoes.pdf}
            }

            @inproceedings{stamper2019tigris,
                title={Tigris: An Online Workflow Tool for Sharing Educational Data and Analytic Methods},
                author={Stamper, John and Carvalho, Paulo and Moore, Steven and Koedinger, Kenneth},
                year={2019},
                booktitle={Companion Proceedings 9th International Conference on Learning Analytics & Knowledge},
                pages={183},
                url={http://dev.stamper.org/publications/LAK19_companion_Stamper_et_al.pdf}
            }

            @inproceedings{gadgil2019how,
                title={How does Performance in an Online Primer Predict Achievement in a Future Computer Science Course?},
                author={Soniya, Gadgil and Moore, Steven and Stamper, John},
                year={2019},
                booktitle={Companion Proceedings 9th International Conference on Learning Analytics & Knowledge},
                pages={300--306},
                url={http://dev.stamper.org/publications/LAK19_companion_Gadgil_et_al.pdf}
            }

            @inproceedings{moore2019human-centered,
                title={Human-Centered Data Science for Educational Technology Improvement using Crowd Workers},
                author={Moore, Steven and Stamper, John and Soniya, Gadgil},
                year={2019},
                booktitle={Companion Proceedings 9th International Conference on Learning Analytics & Knowledge},
                pages={341-347},
                url={http://dev.stamper.org/publications/LAK19_companion_Moore_et_al.pdf}
            }

            @article{liu2018novel,
              title={A Novel Method for the In-Depth Multimodal Analysis of Student Learning Trajectories in Intelligent Tutoring Systems},
              author={Liu, Ran and Stamper, John C and Davenport, Jodi},
              journal={Journal of Learning Analytics},
              volume={5},
              number={1},
              pages={41--54},
              year={2018},
              url={http://dev.stamper.org/publications/JLA_Liu_Stamper_Davenport.pdf}
            }

            @inproceedings{eagle2018predicting,
              title={Predicting Individualized Learner Models across Tutor Lessons},
              author={Eagle, Michael and Corbett, Albert and Stamper, John and Mclaren, Bruce},
              booktitle={Proceedings of the 11th International Conference on Educational Data Mining},
              year={2018},
              publisher={ERIC},
              url={http://dev.stamper.org/publications/EDM2018_Eagleetal.pdf},
              pages={474--478}
            }

            @inproceedings{diana2018instructional,
              title={An instructional factors analysis of an online logical fallacy tutoring system},
              author={Diana, Nicholas and Stamper, John and Koedinger, Ken},
              booktitle={International Conference on Artificial Intelligence in Education},
              pages={86--97},
              year={2018},
              organization={Springer},
              url={http://dev.stamper.org/publications/AIED2018_Diana_Stamper_Koedinger.pdf}
            }

            @inproceedings{diana2018data,
              title={Data-driven generation of rubric criteria from an educational programming environment},
              author={Diana, Nicholas and Eagle, Michael and Stamper, John and Grover, Shuchi and Bienkowski, Marie and Basu, Satabdi},
              booktitle={Proceedings of the 8th International Conference on Learning Analytics and Knowledge},
              pages={16--20},
              year={2018},
              organization={ACM},
              url={http://dev.stamper.org/publications/LAK2018_Dianaetal.pdf}
            }

            @inproceedings{diana2018peer,
              title={Peer Tutor Matching for Introductory Programming: Data-Driven Methods to Enable New Opportunities for Help},
              author={Diana, Nicholas and Eagle, Michael and Stamper, John and Grover, Shuchi and Bienkowski, Marie and Basu, Satabdi},
              year={2018},
              booktitle={Proceedings of the 13th International Conference of the Learning Sciences},
              pages={1377--1378},
              url={http://dev.stamper.org/publications/ICLS2018_Diana_et_al.pdf}
            }

            @article{grover2017framework,
              title={A framework for using hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming environments},
              author={Grover, Shuchi and Basu, Satabdi and Bienkowski, Marie and Eagle, Michael and Diana, Nicholas and Stamper, John},
              journal={ACM Transactions on Computing Education (TOCE)},
              volume={17},
              number={3},
              pages={14},
              year={2017},
              publisher={ACM},
              url={http://doi.acm.org/10.1145/3105910}
            }

            @inproceedings{diana2017instructor,
              title={An instructor dashboard for real-time analytics in interactive programming assignments},
              author={Diana, Nicholas and Eagle, Michael and Stamper, John and Grover, Shuchi and Bienkowski, Marie and Basu, Satabdi},
              booktitle={Proceedings of the Seventh International Learning Analytics \& Knowledge Conference},
              pages={272--279},
              year={2017},
              organization={ACM},
              url={http://dev.stamper.org/publications/LAK2017_Dianaetal.pdf}
            }

            @inproceedings{grover2017framework,
              title={A framework for hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming},
              author={Grover, Shuchi and Bienkowski, Marie and Basu, Satabdi and Eagle, Michael and Diana, Nicholas and Stamper, John},
              booktitle={Proceedings of the Seventh International Learning Analytics \& Knowledge Conference},
              pages={530--531},
              year={2017},
              organization={ACM},
              url={http://dev.stamper.org/publications/LAK2017_Grover_et_al.pdf}
            }

            @inproceedings{diana2017teaching,
              title={Teaching Informal Logical Fallacy Identification with a Cognitive Tutor},
              author={Diana, Nicholas and Eagle, Michael and Stamper, John and Koedinger, Kenneth R},
              booktitle={Proceedings of the International Conference on Artificial Intelligence in Education},
              pages={605--608},
              year={2017},
              organization={Springer},
              url={http://dev.stamper.org/publications/AIED2017_Diana_et_al.pdf}
            }

            @inproceedings{diana2017data,
              title={Data-driven generation of rubric parameters from an educational programming environment},
              author={Diana, Nicholas and Eagle, Michael and Stamper, John and Grover, Shuchi and Bienkowski, Marie and Basu, Satabdi},
              booktitle={Proceedings of the International Conference on Artificial Intelligence in Education},
              pages={490--493},
              year={2017},
              organization={Springer},
              url={http://dev.stamper.org/publications/AIED2017_Diana_et_al_Data.pdf}
            }

            @inproceedings{diana2017automatic,
              title={Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help.},
              author={Diana, Nicholas and Eagle, Michael and Stamper, John C and Grover, Shuchi and Bienkowski, Marie A and Basu, Satabdi},
              booktitle={Proceedings of the 10th International Conference on Educational Data Mining},
              year={2017},
              pages={433--435},
              url={http://dev.stamper.org/publications/EDM2017_Dianaetal.pdf}
            }

            @inproceedings{liu2017multimodal,
              title={Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System},
              author={Liu, Ran and Stamper, John C},
              booktitle={MMLA-CrossLAK},
              pages={47--52},
              year={2017},
              url={http://dev.stamper.org/publications/LAKMMLA_Liu_Stamper.pdf}
            }

            @inproceedings{liu2016beyond,
              title={Beyond Log Files: Using Multi-Modal Data Streams towards Data-Driven KC Model Improvement},
              author={Liu, Ran and Davenport, Jodi and Stamper, John},
              year={2016},
              publisher={ERIC},
              pages={436--441},
              booktitle={Proceedings of the 9th International Conference on Educational Data Mining},
              url={http://dev.stamper.org/publications/EDM2016_Liu_et_al.pdf}
            }

            @inproceedings{diana2016extracting,
              title={Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data.},
              author={Diana, Nicholas and Eagle, Michael and Stamper, John C and Koedinger, Kenneth R},
              booktitle={Proceedings of the 9th International Conference on Educational Data Mining},
              pages={583--584},
              year={2016},
              organization={ERIC},
              url={http://dev.stamper.org/publications/EDM2016_Diana_et_al.pdf}
            }

            @inproceedings{eagle2016predicting,
              title={Predicting individual differences for learner modeling in intelligent tutors from previous learner activities},
              author={Eagle, Michael and Corbett, Albert and Stamper, John and McLaren, Bruce M and Baker, Ryan and Wagner, Angela and MacLaren, Benjamin and Mitchell, Aaron},
              booktitle={Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization},
              pages={55--63},
              year={2016},
              organization={ACM},
              url={http://dev.stamper.org/publications/UMAP2016_Eagle_et_al.pdf}
            }