Predicting Student Aptitude Using Performance History. - Anthony F. Botelho; Seth Akonor Adjei; Hao Wan 002; Neil T. Heffernan (EDM, 2015)

The Prediction of Student First Response Using Prerequisite Skills. - Anthony Botelho; Hao Wan 002; Neil T. Heffernan (L@S, 2015)

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 (EDM, 2016)

Discovering 'Tough Love' Interventions Despite Dropout. - Joseph Jay Williams; Anthony Botelho; Adam Sales; Neil T. Heffernan; Charles Lang (EDM, 2016)

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 (LAK, 2016)

Improving Sensor-Free Affect Detection Using Deep Learning. - Anthony F. Botelho; Ryan S. Baker 001; Neil T. Heffernan (AIED, 2017)

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 (EDM, 2017)

Sequencing content in an adaptive testing system: the role of choice. - Seth Akonor Adjei; Anthony F. Botelho; Neil T. Heffernan (LAK, 2017)

Observing Personalizations in Learning: Identifying Heterogeneous Treatment Effects Using Causal Trees. - Biao Yin; Thanaporn Patikorn; Anthony F. Botelho; Neil T. Heffernan (L@S, 2017)

Incorporating Rich Features into Deep Knowledge Tracing. - Liang Zhang; Xiaolu Xiong; Siyuan Zhao; Anthony Botelho; Neil T. Heffernan (L@S, 2017)

A Memory-Augmented Neural Model for Automated Grading. - Siyuan Zhao; Yaqiong Zhang; Xiaolu Xiong; Anthony Botelho; Neil T. Heffernan (L@S, 2017)

Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors. - Anthony F. Botelho; Ryan S. Baker 001; Jaclyn Ocumpaugh; Neil T. Heffernan (EDM, 2018)

Using Big Data to Sharpen Design-Based Inference in A/B Tests. - Adam Sales; Anthony Botelho; Thanaporn Patikorn; Neil T. Heffernan (EDM, 2018)

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 001; Jaclyn Ocumpaugh (ICCE, 2018)

Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect. - Anthony F. Botelho; Ryan S. Baker 001; Neil T. Heffernan (EDM, 2019)

Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language Course. - Ashvini Varatharaj; Anthony F. Botelho; Xiwen Lu; Neil T. Heffernan (EDM, 2019)

Refusing to Try: Characterizing Early Stopout on Student Assignments. - Anthony F. Botelho; Ashvini Varatharaj; Eric G. Van Inwegen; Neil T. Heffernan (LAK, 2019)

Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning. - Anthony F. Botelho; Ashvini Varatharaj; Thanaporn Patikorn; Diana Doherty; Seth Akonor Adjei; Joseph E. Beck (IEEE Trans. Learn. Technol., 2019)

Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features. - Ashvini Varatharaj; Anthony F. Botelho; Xiwen Lu; Neil T. Heffernan (AIED (1), 2020)

For Good Measure: Identifying Student Measurement Estimation Strategies Through Actions, Language, and Gesture. - Avery Harrison; Hannah Smith; Anthony Botelho; Erin Ottmar; Ivon Arroyo (ICLS, 2020)

The automated grading of student open responses in mathematics. - John A. Erickson; Anthony F. Botelho; Steven McAteer; Ashvini Varatharaj; Neil T. Heffernan (LAK, 2020)

State vs. Trait: Examining Gaming the System in the Context of Math Perception Tasks. - Anthony Botelho; Jenny Yun-Chen Chan; Cindy Trac; Avery Harrison Closser; Hannah Smith; Kathryn C. Drzewiecki; Erin Ottmar (CogSci, 2021)

Improving Automated Scoring of Student Open Responses in Mathematics. - Sami Baral; Anthony F. Botelho; John A. Erickson; Priyanka Benachamardi; Neil T. Heffernan (EDM, 2021)

Is It Fair? Automated Open Response Grading. - John A. Erickson; Anthony F. Botelho; Zonglin Peng; Rui Huang; Meghana V. Kasal; Neil T. Heffernan (EDM, 2021)

Examining Student Effort on Help through Response Time Decomposition. - Ashish Gurung; Anthony F. Botelho; Neil T. Heffernan (LAK, 2021)

Using Past Data to Warm Start Active Machine Learning: Does Context Matter? - Shamya Karumbaiah; Andrew S. Lan; Sachit Nagpal; Ryan S. Baker 001; Anthony Botelho; Neil T. Heffernan (LAK, 2021)

Toward Personalizing Students' Education with Crowdsourced Tutoring. - Ethan Prihar; Thanaporn Patikorn; Anthony Botelho; Adam Sales; Neil T. Heffernan (L@S, 2021)

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 (AIED (1), 2022)

Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts. - Anthony F. Botelho; Ethan Prihar; Neil T. Heffernan (AIED (1), 2022)

Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring. - Raysa Rivera-Bergollo; Sami Baral; Anthony Botelho; Neil T. Heffernan (EDM, 2022)

Exploring Relationships Between Temporal Patterns of Affect and Student Learning. - Anthony Botelho; Seth Adjei; Vedant Bahel; Ryan Baker 001 (ICCE, 2022)

Considerate, Unfair, or Just Fatigued? Examining Factors that Impact Teacher. - Ashish Gurung; Anthony Botelho; Russell Thompson; Adam Sales; Sami Baral; Neil T. Heffernan (ICCE, 2022)

Blending learning analytics and embodied design to model students' comprehension of measurement using their actions, speech, and gestures. - Avery Harrison Closser; John A. Erickson; Hannah Smith; Ashvini Varatharaj; Anthony F. Botelho (Int. J. Child Comput. Interact., 2022)

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 (AIED (Posters/Late Breaking Results/...), 2023)

Enhancing the Automatic Identification of Common Math Misconceptions Using Natural Language Processing. - Guher Gorgun; Anthony F. Botelho (AIED (Posters/Late Breaking Results/...), 2023)

Auto-scoring Student Responses with Images in Mathematics. - Sami Baral; Anthony Botelho; Abhishek Santhanam; Ashish Gurung; Li Cheng; Neil T. Heffernan (EDM, 2023)

Knowledge Tracing Over Time: A Longitudinal Analysis. - Morgan P. Lee; Ethan A. Croteau; Ashish Gurung; Anthony F. Botelho; Neil T. Heffernan (EDM, 2023)

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 (LAK, 2023)

Leveraging natural language processing to support automated assessment and feedback for student open responses in mathematics. - Anthony Botelho; Sami Baral; John A. Erickson; Priyanka Benachamardi; Neil T. Heffernan (J. Comput. Assist. Learn., 2023)

Causal Inference in Educational Data Mining. - Anthony F. Botelho; Avery Harrison Closser; Adam C. Sales; Neil T. Heffernan; Kirk P. Vanacore (EDM, 2024)

Leveraging Large Language Models for Next-Generation Educational Technologies. - Neil T. Heffernan; Rose E. Wang; Christopher MacLellan; Arto Hellas; Chenglu Li; Candace A. Walkington; Joshua Littenberg-Tobias; David Joyner; Steven Moore; Adish Singla; Zach A. Pardos; Maciej Pankiewicz; et al. (EDM, 2024)

Be back in 5 minutes: Exploring correlations between short breaks with student performance. - Yu-Chia Kao; Anthony Botelho (EDM, 2024)

The Challenge of Challenges: Examining the Impact of Difficulty Dynamics on Mastery Learning in Math. - Seiyon M. Lee; Anthony F. Botelho (EDM, 2024)

Developing Explainable AI Systems to Support Feedback for Students. - Hongming Li; Anthony F. Botelho (EDM, 2024)

This Paper Was Written with the Help of ChatGPT: Exploring the Consequences of AI-Driven Academic Writing on Scholarly Practices. - Hongming Li; Seiyon Lee; Anthony F. Botelho (EDM, 2024)

Math in Motion: Analyzing Real-Time Student Collaboration in Computer-Supported Learning Environments. - Hongming Li; Shan Zhang 003; Seiyon Lee; Ji-Eun Lee; Zirui Zhong; Erik Weitnauer; Anthony F. Botelho (EDM, 2024)

Investigating the Dynamic Change of Pre- and In-service Teachers' Experiences, Attitudes, and Perceptions through CS Autobiography Using Topic Modeling. - Shan Zhang 003; Hai Li; Hongming Li; Anthony F. Botelho; Maya Israel (EDM, 2024)

Predicting and Analyzing Students' Higher-Order Questions in Collaborative Problem-Solving. - Shan Zhang 003; Toni V. Earle-Randell; Qian Shen; Anthony F. Botelho; Maya Israel; Kristy Elizabeth Boyer; Collin F. Lynch; Eric N. Wiebe (ICCE, 2024)

So What? Unpacking the Complexities in Collaborative Problem Solving with AI-Augmented Sense-Making. - Seiyon M. Lee; Hongming Li; Shan Zhang 003; Zirui Zhong; Ji-Eun Lee; Anthony F. Botelho (AIED (5), 2025)

Scaffolding AI Literacy Through Student-AI Collaboration in Chatbot Development. - Shan Zhang 003; Anthony F. Botelho (EDM, 2025)

CausalEDM: Linking Innovations in Instructional Design and the Complex Behaviors that Underlie Learning Processes and Outcomes. - Kirk Vanacore; Anthony F. Botelho; Avery Closer; Adam Sales; Neil T. Heffernan (EDM, 2025)

Introducing K-12 Teachers to Computer Science Education through an Online Micro-credential: An Experience Report. - Shan Zhang 003; Nicole M. Hutchins; Joanne R. Barrett; Anthony F. Botelho; Maya Israel (SIGCSE (1), 2025)

ARCHED: A Human-Centered Framework for Transparent, Responsible, and Collaborative AI-Assisted Instructional Design. - Hongming Li; Yizirui Fang; Shan Zhang 003; Seiyon M. Lee; Yiming Wang; Mark Trexler; Anthony F. Botelho (CoRR, 2025)