John C. Stamper

Orcid: 0000-0002-2291-1468

Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA, USA
  • University of North Carolina at Charlotte, NC, USA


According to our database1, John C. Stamper authored at least 101 papers between 2005 and 2024.

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Bibliography

2024
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

Investigating Demographics and Motivation in Engineering Education Using Radio and Phone-Based Educational Technologies.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation.
Comput. Educ. Artif. Intell., 2023

The Role of Kiosks on Health Services: A Systematic Review.
Proceedings of the 11th IEEE International Conference on Serious Games and Applications for Health, 2023

A Human-Computer Interaction Perspective on Clinical Decision Support Systems: A Systematic Review of Usability, Barriers, and Recommendations for Improvement.
Proceedings of the 11th IEEE International Conference on Serious Games and Applications for Health, 2023

Crowdsourcing the Evaluation of Multiple-Choice Questions Using Item-Writing Flaws and Bloom's Taxonomy.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Multimodal Data Support in Knowledge Objects for Real-time Knowledge Sharing.
Proceedings of the 6th Workshop on Leveraging Multimodal Data for Generating Meaningful Feedback (CROSSMMLA 2023) at the 13th International Learning Analytics & Knowledge (LAK 2023), 2023

Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods.
Proceedings of the Responsive and Sustainable Educational Futures, 2023

Examining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning Game.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Empowering Education with LLMs - The Next-Gen Interface and Content Generation.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022
Learnersourcing: Student-generated Content @ Scale.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Towards Automated Generation and Evaluation of Questions in Educational Domains.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Towards Generalized Methods for Automatic Question Generation in Educational Domains.
Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

Assessing the Quality of Student-Generated Short Answer Questions Using GPT-3.
Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Reducing Bias in a Misinformation Classification Task with Value-Adaptive Instruction.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
Examining the Effects of Student Participation and Performance on the Quality of Learnersourcing Multiple-Choice Questions.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Exploring Metrics for the Analysis of Code Submissions in an Introductory Data Science Course.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

2020
A Human-Centered Approach to Data Driven Iterative Course Improvement.
Proceedings of the Cross Reality and Data Science in Engineering, 2020

Towards Crowdsourcing the Identification of Knowledge Components.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components.
Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Persuasion Invasion: Reducing Bias with Value-Adaptive Instruction.
Proceedings of the CHI PLAY '20: The Annual Symposium on Computer-Human Interaction in Play, Virtual Event, Canada, November 2-4, 2020, 2020

Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Improving Students' Problem-Solving Flexibility in Non-routine Mathematics.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Learning linkages: Integrating data streams of multiple modalities and timescales.
J. Comput. Assist. Learn., 2019

Decision Support for an Adversarial Game Environment Using Automatic Hint Generation.
Proceedings of the Intelligent Tutoring Systems - 15th International Conference, 2019

Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Towards Modeling Students' Problem-solving Skills in Non-routine Mathematics Problems.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games.
Proceedings of the Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, 2019

Predicting Bias in the Evaluation of Unlabeled Political Arguments.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

How Does Order of Gameplay Impact Learning and Enjoyment in a Digital Learning Game?
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
A Novel Method for the In-Depth Multimodal Analysis of Student Learning Trajectories in Intelligent Tutoring Systems.
J. Learn. Anal., April, 2018

Data-driven generation of rubric criteria from an educational programming environment.
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Peer Tutor Matching for Introductory Programming: Data-Driven Methods to Enable New Opportunities for Help.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Linkage Objects for Generalized Instruction in Coding (LOGIC).
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Predicting Individualized Learner Models Across Tutor Lessons.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Predictive Student Modeling for Interventions in Online Classes.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
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., 2017

Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System.
Proceedings of the Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop co-located with 7th International Learning Analytics and Knowledge Conference (LAK 2017), 2017

Building the Learning Analytics Curriculum.
Proceedings of the 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), 2017

Building the learning analytics curriculum: workshop.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Community based educational data repositories and analysis tools.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

A framework for hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

An instructor dashboard for real-time analytics in interactive programming assignments.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Sharing and Reusing Data and Analytic Methods with LearnSphere.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Teaching Informal Logical Fallacy Identification with a Cognitive Tutor.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Exploring Learner Model Differences Between Students.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

Teaching Informal Logical Fallacy Identification with a Cognitive Tutor.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

Data-Driven Generation of Rubric Parameters from an Educational Programming Environment.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016
The 2010 KDD Cup Competition Dataset: Engaging the machine learning community in predictive learning analytics.
J. Learn. Anal., September, 2016

Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Estimating Individual Differences for Student Modeling in Intelligent Tutors from Reading and Pretest Data.
Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016

How quickly can wheel spinning be detected?
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
Ethics and Privacy in EDM.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

The Future of Practical Applications of EDM at Scale.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014
Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium).
Ubiquity, 2014

A Multi-level Complex Adaptive System Approach for Modeling of Schools.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

SCALE: Student Centered Adaptive Learning Engine.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

2013
LearnLab's DataShop: A Data Repository and Analytics Tool Set for Cognitive Science.
Top. Cogn. Sci., 2013

New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization.
AI Mag., 2013

Experimental Evaluation of Automatic Hint Generation for a Logic Tutor.
Int. J. Artif. Intell. Educ., 2013

CloudCoder: building a community for creating, assigning, evaluating and sharing programming exercises (abstract only).
Proceedings of the 44th ACM Technical Symposium on Computer Science Education, 2013

Towards improving programming habits to create better computer science course outcomes.
Proceedings of the Innovation and Technology in Computer Science Education conference 2013, 2013

A Comparison of Model Selection Metrics in DataShop.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

An Algorithm for Reducing the Complexity of Interaction Networks.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Using Data-Driven Discovery of Better Student Models to Improve Student Learning.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

2012
Educational data mining meets learning analytics.
Proceedings of the Second International Conference on Learning Analytics and Knowledge, 2012

Using Time Pressure to Promote Mathematical Fluency.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

The Effects of Adaptive Sequencing Algorithms on Player Engagement within an Online Game.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Program Representation for Automatic Hint Generation for a Data-Driven Novice Programming Tutor.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

The Rise of the Super Experiment.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

Automated Student Model Improvement.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

2011
Enhancing the Automatic Generation of Hints with Expert Seeding.
Int. J. Artif. Intell. Educ., 2011

EDM and the 4th Paradigm of Scientific Discovery - Reflections on KDD Cup 2010.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

DataShop: A Data Repository and Analysis Service for the Learning Science Community (Interactive Event).
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Managing the Educational Dataset Lifecycle with DataShop.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Human-Machine Student Model Discovery and Improvement Using DataShop.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

2010
Automatic Hint Generation for Logic Proof Tutoring Using Historical Data.
J. Educ. Technol. Soc., 2010

PSLC DataShop: A Data Analysis Service for the Learning Science Community.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems.
Proceedings of the Educational Data Mining 2010, 2010

A Data Driven Approach to the Discovery of Better Cognitive Models.
Proceedings of the Educational Data Mining 2010, 2010

2009
An unsupervised, frequency-based metric for selecting hints in an MDP-based tutor.
Proceedings of the Educational Data Mining, 2009

Utility in hint generation: Selection of hints from a corpus of student work.
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

2008
Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data.
Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

A pilot study on logic proof tutoring using hints generated from historical student data.
Proceedings of the Educational Data Mining 2008, 2008

The Validity of Providing Automated Hints in an ITS Using a MDP.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Automating the Generation of Student Models for Intelligent Tutoring Systems.
Proceedings of the Artificial Intelligence in Education, 2007

Extracting Student Models for Intelligent Tutoring Systems.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005
Predictive protocol management with contingency planning for wireless sensor networks.
Proceedings of the IEEE 2nd International Conference on Mobile Adhoc and Sensor Systems, 2005


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