John Stamper
Associate Professor & MSLE Program Director
Studies educational data mining and learning analytics, including the DataShop repository.
John Stamper's lab at CMU works on interfaces & interaction techniques, learning & education technology and data management & big data. 58 papers since 2023, 4 at top venues, mostly CHI and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 15/ year
- at T1 venues
- 7%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 8 papers2026 · T1 3 · collecting
- 19 papers2025 · T1 0
- 14 papers2024 · T1 1
- 17 papers2023 · T1 0
T1 venuesOtherVenues: CHI, AAAI
Research focuspaper titles that use each topic's words
- Learning & education technology29 papers
- Data management & big data4 papers
- Interfaces & interaction techniques1 paper
- learning analytics1 paper
- studies educational0 papers
Paper list
From the lab homepage.
20268 papers
- AAAI (T1)“Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module (opens in a new tab)
- Proceedings of the ACM Technical Symposium on Computer Science Education V.1Deriving Instructional Insights from Human-LLM Co-Evaluation of Student Collaboration in Data-Centric Programming (opens in a new tab)
- CHI (T1)Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers’ Perspectives (opens in a new tab)
- CHI (T1)EdTech for Last Mile Learners in the Global South: Navigating Technological and Motivational Learning Insights with Radios and Mobile Phones (opens in a new tab)
- Proceedings of the ACM Technical Symposium on Computer Science Education V.1Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning (opens in a new tab)
- Proceedings of the International Learning Analytics and Knowledge ConferenceGenerate-Then-Validate: A Novel Question Generation Approach Using Small Language Models (opens in a new tab)
- Proceedings of the International Learning Analytics and Knowledge ConferenceHow to Assess AI Literacy: Misalignment Between Self-Reported and Objective-Based Measures (opens in a new tab)
- Proceedings of the International Learning Analytics and Knowledge ConferenceRevisiting the Hint Button: Consistent Negative Associations Between Unproductive Hint Use and Learning Outcomes in Intelligent Tutoring Systems (opens in a new tab)
202519 papers
- Companion Proceedings of the International Learning Analytics and Knowledge ConferenceActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale
- Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, Part IIIAI Literacy For All: 1st International Workshop on AI Literacy Education For All
- Proceedings of the International Conference on Computer-Supported Collaborative Learning-CSCLCapturing Collaborative Competency with GPT-4o and ENA
- International Conference on Artificial Intelligence in Education, Part VIDeceptive Overgeneralization in Adaptive Learning
- European Conference on Technology Enhanced LearningDetect and Remedy Deceptive Overgeneralization in Adaptive Learning
- International Conference on Artificial Intelligence in Education, Part IIIDetecting Informal Reasoning Errors in Spoken Arguments: A Difficulty Factors Assessment of Distracted Reasoning
- Proceedings of the International Learning Analytics and Knowledge ConferenceDoes the Doer Effect Generalize To Non-WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning
- International Conference on Artificial Intelligence in Education, Part IVGenerative AI in Instructional Design Education: Effects on Novice Microlesson Quality
- Proceedings of the ACM Conference on User Modeling, Adaptation and PersonalizationGranular Feedback: Leveraging Domain Expertise and Explainable AI to Effectively Steer Models
- European Conference on Technology Enhanced LearningIntegrating Generative AI into Instructional Design Practice: Effects on Graduate Student Learning and Self-Efficacy
- Proceedings of the International Conference on Educational Data MiningKCluster: An LLM-based Clustering Approach to Knowledge Component Discovery
- Proceedings of the Twelfth ACM Conference on Learning @ ScaleLearnersourcing: Student-generated Content @ Scale: 3rd Annual Workshop
202414 papers
- International Conference on Artificial Intelligence in EducationA Schema-Based Approach to the Linkage of Multimodal Learning Sources with Generative AI
- International Conference on Artificial Intelligence in EducationAn Automatic Question Usability Evaluation Toolkit
- Proceedings of the AAAI Conference on Human Computation and CrowdsourcingAssessing Educational Quality: Comparative Analysis of Crowdsourced, Expert, and AI-Driven Rubric Applications
- Proceedings of the Eleventh ACM Conference on Learning@ ScaleAutomated Generation and Tagging of Knowledge Components from Multiple-Choice Questions
- The International Conference on Technology for Education (T4ECultural Dimensions in Learning Engineering: Redesigning Courses for Industrial Training Institutes
- International Conference on Artificial Intelligence in EducationEnhancing llm-based feedback: Insights from intelligent tutoring systems and the learning sciences
- Extended Abstracts of the CHI Conference on Human Factors in Computing SystemsExploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices
- CHI (T1)Investigating Demographics and Motivation in Engineering Education Using Radio and Phone-Based Educational Technologies
- Proceedings of the Educational Data Mining in Computer Science Education (CSEDM) WorkshopLearner-Centered Design of LLM-Based Tutoring Systems in Education: Insights from a Large-Scale Classroom Deployment
- Proceedings of the Eleventh ACM Conference on Learning@ ScaleLearnersourcing: Student-generated Content@ Scale: 2nd Annual Workshop
- Journal of Educational Data MiningLearnSphere: A Learning Data and Analytics CyberInfrastructure
- The Fourteenth International Conference on Learning Analytics & Knowledge (LAK24): Learning Analytics in the Age of Artificial IntelligencePlatform-based Adaptive Experimental Research in Education: Lessons Learned from Digital Learning Challenge
202317 papers
- SeGAHA Human-Computer Interaction Perspective on Clinical Decision Support Systems: A Systematic Review of Usability, Barriers, and Recommendations for Improvement
- I/ITSECAI/ML-Driven Content Repository Maintenance
- European Conference on Technology Enhanced LearningAssessing the quality of multiple-choice questions using gpt-4 and rule-based methods
- Proceedings of the Tenth ACM Conference on Learning@ ScaleCrowdsourcing the Evaluation of Multiple-Choice Questions Using Item-Writing Flaws and Bloom's Taxonomy
- Proceedings of the International Conference on Artificial Intelligence in EducationEmpowering Education with LLMs - the Next-Gen Interface and Content Generation
- Proceedings of the International Conference on Artificial Intelligence in EducationExamining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning Game
- International Conference on Computers in Education Conference Vol II, ICCEFocal: A Proposed Method of Leveraging LLMs for Automating Assessments
- AI4EduHierarchical Concept Map Generation from Course Data
- Computers and Education: Artificial IntelligenceLearnersourcing in the age of AI: Student, educator and machine partnerships for content creation
- Companion Proceedings International Conference on Learning Analytics & KnowledgeLearning Analytics for Last Mile Students in Africa
- Proceedings of CROSSMMLA Workshop at the International Conference on Learning Analytics & KnowledgeMultimodal Data Support in Knowledge Objects for Real-time Knowledge Sharing
- Companion Proceedings International Conference on Learning Analytics & KnowledgeOLI Torus: a next-generation, open platform for adaptive courseware development, delivery, and research
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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