| 2026 | AIED | Modeling Completion Time in Mathematics Formative Assessments: Content-Based Prediction of Time Variation. | Anthony F. Botelho, Zhongtian Huang, Natalia S. Martin, Jinnie Shin |
| 2026 | AIED | Can We Trust AI's Self-assessment? Evaluating and Improving LLM Confidence Calibration in Educational Dialogue Coding. | Hongming Li, Huan Kuang, Anthony F. Botelho |
| 2026 | AIED | Analyzing Middle School Students' Dialogue and Behaviors During Collaborative AI Chatbot Development Using Ordered Network Analysis. | Shan Zhang, Andres Felipe Zambrano, Xiaoyi Tian, Yukyeong Song, Anthony F. Botelho, Kristy Elizabeth Boyer, Maya Israel, Shiyan Jiang |
| 2026 | LAK | Disentangling Learning from Judgment: Representation Learning for Open Response Analytics. | Conrad Borchers, Manit Patel, Seiyon M. Lee, Anthony F. Botelho |
| 2026 | LAK | Let Me Try Again: Examining Replay Behavior by Tracing Students' Latent Problem-Solving Pathways. | Shan Zhang, Siddhartha Pradhan, Ji-Eun Lee, Ashish Gurung, Anthony F. Botelho |
| 2026 | LAK | How to Assess AI Literacy: Misalignment Between Self-Reported and Objective-Based Measures. | Shan Zhang, Ruiwei Xiao, Anthony F. Botelho, Guanze Liao, Thomas K. F. Chiu, John C. Stamper, Kenneth R. Koedinger |
| 2026 | SIGCSE | Examining Students' Code Comprehension with LLMs in Block- and Text-Based Programming. | Shan Zhang, Toni V. Earle-Randell, Priyadharshini Ganapathy Prasad, Zifeng Liu, Yang Shi, Suma Bhat, Maya Israel, Anthony F. Botelho |
| 2025 | AIED | VETTING AI for Deeper Learning: Constraining LLMs to Encourage Student Inquiry. | Shan Zhang, Hongming Li, Seiyon M. Lee, Noah L. Schroeder, Anthony F. Botelho |
| 2025 | AIED | So What? Unpacking the Complexities in Collaborative Problem Solving with AI-Augmented Sense-Making. | Seiyon M. Lee, Hongming Li, Shan Zhang, Zirui Zhong, Ji-Eun Lee, Anthony F. Botelho |
| 2025 | EDM | Scaffolding AI Literacy Through Student-AI Collaboration in Chatbot Development. | Shan Zhang, Anthony F. Botelho |
| 2025 | EDM | CausalEDM: Linking Innovations in Instructional Design and the Complex Behaviors that Underlie Learning Processes and Outcomes. | Kirk Vanacore, Anthony F. Botelho, Avery Closser, Adam Sales, Neil T. Heffernan |
| 2025 | SIGCSE | Introducing K-12 Teachers to Computer Science Education through an Online Micro-credential: An Experience Report. | Shan Zhang, Nicole M. Hutchins, Joanne R. Barrett, Anthony F. Botelho, Maya Israel |
| 2024 | EDM | Causal Inference in Educational Data Mining. | Anthony F. Botelho, Avery Harrison Closser, Adam C. Sales, Neil T. Heffernan, Kirk P. Vanacore |
| 2024 | EDM | The Challenge of Challenges: Examining the Impact of Difficulty Dynamics on Mastery Learning in Math. | Seiyon M. Lee, Anthony F. Botelho |
| 2024 | EDM | Developing Explainable AI Systems to Support Feedback for Students. | Hongming Li, Anthony F. Botelho |
| 2024 | EDM | This Paper Was Written with the Help of ChatGPT: Exploring the Consequences of AI-Driven Academic Writing on Scholarly Practices. | Hongming Li, Ben Seiyon Lee, Anthony F. Botelho |
| 2024 | EDM | Math in Motion: Analyzing Real-Time Student Collaboration in Computer-Supported Learning Environments. | Hongming Li, Shan Zhang, Ben Seiyon Lee, Ji-Eun Lee, Zirui Zhong, Erik Weitnauer, Anthony F. Botelho |
| 2024 | EDM | Investigating the Dynamic Change of Pre- and In-service Teachers' Experiences, Attitudes, and Perceptions through CS Autobiography Using Topic Modeling. | Shan Zhang, Hai Li, Hongming Li, Anthony F. Botelho, Maya Israel |
| 2024 | ICCE | Predicting and Analyzing Students' Higher-Order Questions in Collaborative Problem-Solving. | Shan Zhang, Toni V. Earle-Randell, Qian Shen, Anthony F. Botelho, Maya Israel, Kristy Elizabeth Boyer, Collin F. Lynch, Eric N. Wiebe |
| 2023 | AIED | Investigating Patterns of Tone and Sentiment in Teacher Written Feedback Messages. | Sami Baral, Anthony F. Botelho, Abhishek Santhanam, Ashish Gurung, John A. Erickson, Neil T. Heffernan |
| 2023 | AIED | Enhancing the Automatic Identification of Common Math Misconceptions Using Natural Language Processing. | Guher Gorgun, Anthony F. Botelho |
| 2023 | EDM | Knowledge Tracing Over Time: A Longitudinal Analysis. | Morgan P. Lee, Ethan A. Croteau, Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan |
| 2023 | LAK | Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers? | Ashish Gurung, Sami Baral, Kirk P. Vanacore, Andrew A. McReynolds, Hilary Kreisberg, Anthony F. Botelho, Stacy T. Shaw, Neil T. Heffernan |
| 2022 | AIED | Enhancing Auto-scoring of Student Open Responses in the Presence of Mathematical Terms and Expressions. | Sami Baral, Karthik Seetharaman, Anthony F. Botelho, Anzhuo Wang, George T. Heineman, Neil T. Heffernan |
| 2022 | AIED | Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts. | Anthony F. Botelho, Ethan Prihar, Neil T. Heffernan |
| 2021 | EDM | Improving Automated Scoring of Student Open Responses in Mathematics. | Sami Baral, Anthony F. Botelho, John A. Erickson, Priyanka Benachamardi, Neil T. Heffernan |
| 2021 | EDM | Is It Fair? Automated Open Response Grading. | John A. Erickson, Anthony F. Botelho, Zonglin Peng, Rui Huang, Meghana V. Kasal, Neil T. Heffernan |
| 2021 | LAK | Examining Student Effort on Help through Response Time Decomposition. | Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan |
| 2020 | AIED | Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features. | Ashvini Varatharaj, Anthony F. Botelho, Xiwen Lu, Neil T. Heffernan |
| 2020 | LAK | The automated grading of student open responses in mathematics. | John A. Erickson, Anthony F. Botelho, Steven McAteer, Ashvini Varatharaj, Neil T. Heffernan |
| 2019 | EDM | Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect. | Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan |
| 2019 | EDM | Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language Course. | Ashvini Varatharaj, Anthony F. Botelho, Xiwen Lu, Neil T. Heffernan |
| 2019 | LAK | Refusing to Try: Characterizing Early Stopout on Student Assignments. | Anthony F. Botelho, Ashvini Varatharaj, Eric G. Van Inwegen, Neil T. Heffernan |
| 2018 | EDM | Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors. | Anthony F. Botelho, Ryan S. Baker, Jaclyn Ocumpaugh, Neil T. Heffernan |
| 2018 | ICCE | The Implications of a Subtle Difference in the Calculation of Affect Dynamics. | Shamya Karumbaiah, Juliana Ma. Alexandra L. Andres, Anthony F. Botelho, Ryan S. Baker, Jaclyn Ocumpaugh |
| 2017 | AIED | Improving Sensor-Free Affect Detection Using Deep Learning. | Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan |
| 2017 | EDM | Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments. | Biao Yin, Anthony F. Botelho, Thanaporn Patikorn, Neil T. Heffernan, Jian Zou |
| 2017 | LAK | Sequencing content in an adaptive testing system: the role of choice. | Seth Akonor Adjei, Anthony F. Botelho, Neil T. Heffernan |
| 2016 | EDM | Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships. | Anthony F. Botelho, Seth Adjei, Neil T. Heffernan |
| 2016 | LAK | Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures. | Seth Akonor Adjei, Anthony F. Botelho, Neil T. Heffernan |
| 2015 | EDM | Predicting Student Aptitude Using Performance History. | Anthony F. Botelho, Seth Akonor Adjei, Hao Wan, Neil T. Heffernan |