The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System. - Stephen Hutt; Caitlin Mills 001; Shelby White; Patrick J. Donnelly; Sidney K. D'Mello (EDM, 2016)

Gaze-based Detection of Mind Wandering during Lecture Viewing. - Stephen Hutt; Jessica Hardey; Robert Bixler; Angela Stewart; Evan F. Risko; Sidney D'Mello (EDM, 2017)

Placating plato with plates of pasta: An interactive tool for teaching the dining philosophers problem. - Justin DeBenedetto; Stephen Hutt; Louis Faust; Anqing Liu; Nathaniel Kremer-Herman (FIE, 2017)

"Out of the Fr-Eye-ing Pan": Towards Gaze-Based Models of Attention during Learning with Technology in the Classroom. - Stephen Hutt; Caitlin Mills 001; Nigel Bosch; Kristina Krasich; James R. Brockmole; Sidney K. D'Mello (UMAP, 2017)

"Mind" TS: Testing a Brief Mindfulness Intervention with an Intelligent Tutoring System. - Kristina Krasich; Stephen Hutt; Caitlin Mills 001; Catherine A. Spann; James R. Brockmole; Sidney K. D'Mello (AIED (2), 2018)

Prospectively predicting 4-year college graduation from student applications. - Stephen Hutt; Margo Gardener; Donald Kamentz; Angela Lee Duckworth; Sidney K. D'Mello (LAK, 2018)

Time to Scale: Generalizable Affect Detection for Tens of Thousands of Students across An Entire School Year. - Stephen Hutt; Joseph F. Grafsgaard; Sidney K. D'Mello (CHI, 2019)

Evaluating Fairness and Generalizability in Models Predicting On-Time Graduation from College Applications. - Stephen Hutt; Margo Gardner; Angela Lee Duckworth; Sidney K. D'Mello (EDM, 2019)

Generalizability of Sensor-Free Affect Detection Models in a Longitudinal Dataset of Tens of Thousands of Students. - Emily Jensen; Stephen Hutt; Sidney K. D'Mello (EDM, 2019)

Language as Thought: Using Natural Language Processing to Model Noncognitive Traits that Predict College Success. - Cathlyn Stone; Abigail Quirk; Margo Gardener; Stephen Hutt; Angela Lee Duckworth; Sidney K. D'Mello (LAK, 2019)

Automated gaze-based mind wandering detection during computerized learning in classrooms. - Stephen Hutt; Kristina Krasich; Caitlin Mills 001; Nigel Bosch; Shelby White; James R. Brockmole; Sidney K. D'Mello (User Model. User Adapt. Interact., 2019)

Towards Sharing Student Models Across Learning Systems. - Ryan S. Baker 001; Bruce M. McLaren; Stephen Hutt; J. Elizabeth Richey; Elizabeth Rowe; Ma. Victoria Almeda; Michael Mogessie Ashenafi; Juliana Ma. Alexandra L. Andres (AIED (2), 2021)

Affect-Targeted Interviews for Understanding Student Frustration. - Ryan S. Baker 001; Nidhi Nasiar; Jaclyn L. Ocumpaugh; Stephen Hutt; Juliana Ma. Alexandra L. Andres; Stefan Slater; Matthew Schofield; Allison L. Moore; Luc Paquette; Anabil Munshi; Gautam Biswas (AIED (1), 2021)

A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners. - Yiqiu Zhou; Juan Miguel L. Andres-Bray; Stephen Hutt; Korinn Ostrow; Ryan S. Baker 001 (AIED (2), 2021)

Breaking out of the Lab: Mitigating Mind Wandering with Gaze-Based Attention-Aware Technology in Classrooms. - Stephen Hutt; Kristina Krasich; James R. Brockmole; Sidney K. D'Mello (CHI, 2021)

Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. - Stephen Hutt; Jaclyn Ocumpaugh; Juliana Ma. Alexandra L. Andres; Anabil Munshi; Nigel Bosch; Ryan S. Baker 001; Yingbin Zhang; Luc Paquette; Stefan Slater; Gautam Biswas (CogSci, 2021)

Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. - Stephen Hutt; Jaclyn Ocumpaugh; Juliana Ma. Alexandra L. Andres; Nigel Bosch; Luc Paquette; Gautam Biswas; Ryan Baker 001 (EDM, 2021)

Using Qualitative Data from Targeted Interviews to Inform Rapid AIED Development. - Jaclyn Ocumpaugh; Stephen Hutt; Juliana Ma. Alexandra L. Andres; Ryan Baker 001; Gautam Biswas (ICCE, 2021)

How Anxiety Affects Affect: A Quantitative Ethnographic Investigation Using Affect Detectors and Data-Targeted Interviews. - Juliana Ma. Alexandra L. Andres; Stephen Hutt; Jaclyn Ocumpaugh; Ryan S. Baker 001; Nidhi Nasiar; Chelsea Porter (ICQE, 2021)

What You Do Predicts How You Do: Prospectively Modeling Student Quiz Performance Using Activity Features in an Online Learning Environment. - Emily Jensen; Tetsumichi Umada; Nicholas C. Hunkins; Stephen Hutt; Anne Corinne Huggins-Manley; Sidney K. D'Mello (LAK, 2021)

Investigating Student Interest and Engagement in Game-Based Learning Environments. - Jiayi Zhang 004; Stephen Hutt; Jaclyn Ocumpaugh; Nathan L. Henderson; Alex Goslen; Jonathan P. Rowe; Kristy Elizabeth Boyer; Eric N. Wiebe; Bradford W. Mott; James C. Lester (AIED (1), 2022)

Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process. - Jiayi Zhang 004; Juliana Ma. Alexandra L. Andres; Stephen Hutt; Ryan S. Baker 001; Jaclyn Ocumpaugh; Caitlin Mills 001; Jamiella Brooks; Sheela Sethuraman; Tyron Young (EDM, 2022)

Evaluating Gaming Detector Model Robustness Over Time. - Nathan Levin; Ryan Baker 001; Nidhi Nasiar; Stephen Fancsali; Stephen Hutt (EDM, 2022)

Investigating How Achievement Goals Influence Student Behavior in Computer Based Learning. - Juliana Ma. Alexandra L. Andres; Stephen Hutt; Jaclyn Ocumpaugh; Ryan Baker 001 (ICCE, 2022)

Evaluating Calibration-free Webcam-based Eye Tracking for Gaze-based User Modeling. - Stephen Hutt; Sidney K. D'Mello (ICMI, 2022)

Research Using the MOOC Replication Framework and E-TRIALS. - Ryan Baker 001; Stephen Hutt; Michael Mogessie Ashenafi; Haripriya Valayaputtar (LWMOOCS, 2022)

Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data. - Stephen Hutt; Ryan S. Baker 001; Michael Mogessie Ashenafi; Juan Miguel L. Andres-Bray; Christopher Brooks 001 (Br. J. Educ. Technol., 2022)

Feasibility of Longitudinal Eye-Gaze Tracking in the Workplace. - Stephen Hutt; Angela E. B. Stewart; Julie M. Gregg; Stephen M. Mattingly; Sidney K. D'Mello (Proc. ACM Hum. Comput. Interact., 2022)

Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis. - Alex Goslen; Nathan L. Henderson; Jonathan P. Rowe; Jiayi Zhang 004; Stephen Hutt; Jaclyn Ocumpaugh; Eric N. Wiebe; Kristy Elizabeth Boyer; Bradford W. Mott; James C. Lester (AIED (Posters/Late Breaking Results/...), 2023)

Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment. - Nidhi Nasiar; Ryan Shaun Baker; Yishan Zou; Jiayi Zhang 004; Stephen Hutt (AIED (Posters/Late Breaking Results/...), 2023)

It's Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning. - Nidhi Nasiar; Andres Felipe Zambrano; Jaclyn Ocumpaugh; Stephen Hutt; Alexis Goslen; Jonathan P. Rowe; James C. Lester; Nathan L. Henderson; Eric N. Wiebe; Kristy Elizabeth Boyer; Bradford W. Mott (AIED (Posters/Late Breaking Results/...), 2023)

The Right To Be Forgotten and Educational Data Mining: Challenges and Paths Forward. - Stephen Hutt; Sanchari Das; Ryan Baker 001 (EDM, 2023)

Detecting When the Mind Wanders Off Task in Real-time: An Overview and Systematic Review. - Vishal Kiran Kuvar; Julia W. Y. Kam; Stephen Hutt; Caitlin Mills 001 (ICMI, 2023)

Cracking the Code of Learning Gains: Using Ordered Network Analysis to Understand the Influence of Prior Knowledge. - Andres Felipe Zambrano; Amanda Barany; Jaclyn Ocumpaugh; Nidhi Nasiar; Stephen Hutt; Alex Goslen; Jonathan P. Rowe; James C. Lester; Eric N. Wiebe; Bradford W. Mott (ICQE, 2023)

Using a Webcam Based Eye-tracker to Understand Students' Thought Patterns and Reading Behaviors in Neurodivergent Classrooms. - Aaron Y. Wong; Richard L. Bryck; Ryan S. Baker 001; Stephen Hutt; Caitlin Mills 001 (LAK, 2023)

Exploring Cross-Country Prediction Model Generalizability in MOOCs. - Juan Miguel L. Andres-Bray; Stephen Hutt; Ryan Shaun Baker (L@S, 2023)

Analysing adaptive scaffolds that help students develop self-regulated learning behaviours. - Anabil Munshi; Gautam Biswas; Ryan Baker 001; Jaclyn Ocumpaugh; Stephen Hutt; Luc Paquette (J. Comput. Assist. Learn., 2023)

Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers. - Aaron Haim; Stephen Hutt; Stacy T. Shaw; Neil T. Heffernan (AIED Companion (2), 2024)

Creating an equitable CHI - What does it mean to be an ally? - Siobahn Day Grady; Stephen Hutt; Karla Badillo-Urquiola; Gloria Opoku-Boateng Osardu; Angela E. B. Stewart; Eiad Yafi (CHI Extended Abstracts, 2024)

Open Science and Educational Data Mining: Which Practices Matter Most? - Ryan Shaun Baker; Stephen Hutt; Christopher A. Brooks 001; Namrata Srivastava; Caitlin Mills 001 (EDM, 2024)

Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers. - Aaron Haim; Stephen Hutt; Stacy T. Shaw; Neil T. Heffernan (EDM, 2024)

Says Who? How different ground truth measures of emotion impact student affective modeling. - Andres Felipe Zambrano; Nidhi Nasiar; Jaclyn Ocumpaugh; Alex Goslen; Jiayi Zhang 004; Jonathan P. Rowe; Jordan Esiason; Jessica Vandenberg; Stephen Hutt (EDM, 2024)

Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback. - Stephen Hutt; Allison DePiro; Joann Wang; Sam Rhodes; Ryan Shaun Baker; Grayson Hieb; Sheela Sethuraman; Jaclyn Ocumpaugh; Caitlin Mills 001 (LAK, 2024)

Scaling Up Mastery Learning with Generative AI: Exploring How Generative AI Can Assist in the Generation and Evaluation of Mastery Quiz Questions. - Stephen Hutt; Grayson Hieb (L@S, 2024)

Student Perspectives on Expressing Academic Emotions in Digital Game-Based Learning. - Alex Goslen; Jessica Vandenberg; Andres Felipe Zambrano; Nidhi Nasiar; Stephen Hutt; Jaclyn Ocumpaugh; Jonathan P. Rowe (SIGCSE Virtual (2), 2024)

On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem. - Ryan S. Baker 001; Nigel Bosch; Stephen Hutt; Andres Felipe Zambrano; Alex J. Bowers (CoRR, 2024)

Toward Asset-based Instruction and Assessment in Artificial Intelligence in Education. - Jaclyn Ocumpaugh; Rod D. Roscoe; Ryan S. Baker 001; Stephen Hutt; Stephen J. Aguilar (Int. J. Artif. Intell. Educ., 2024)

Using Webcam-Based Eye Tracking during a Learning Task to Understand Neurodivergence. - Grace D. Jaiyeola; Aaron Y. Wong; Richard L. Bryck; Caitlin Mills 001; Stephen Hutt (EDM, 2025)

MORF: A Post-Mortem. - Ryan Baker 001; Stephen Hutt (LAK, 2025)

One Size Does Not Fit All: Considerations when using Webcam-Based Eye Tracking to Models of Neurodivergent Learners' Attention and Comprehension. - Grace D. Jaiyeola; Aaron Y. Wong; Richard L. Bryck; Caitlin Mills 001; Stephen Hutt (LAK, 2025)

Refocusing the lens through which we view affect dynamics: The Skills, Difficulty, Value, Efficacy and Time Model. - Jaclyn Ocumpaugh; Nidhi Nasiar; Andres Felipe Zambrano; Alex Goslen; Jessica Vandenberg; Jordan Esiason; Jonathan P. Rowe; Stephen Hutt (LAK, 2025)

Predicting Student Reasoning for Self-Reported Affect in Game-Based Learning Environments. - Jordan Esiason; Alex Goslen; Andres Felipe Zambrano; Nidhi Nasiar; Stephen Hutt; Jonathan P. Rowe; Jaclyn Ocumpaugh; Jessica Vandenberg (SIGCSE (2), 2025)