Stephen Hutt

According to our database, Stephen Hutt authored at least 43 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem.

Ryan S. Baker, Nigel Bosch, Stephen Hutt, Andres Felipe Zambrano, Alex J. Bowers

CoRR, 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

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 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, Jonathan P. Rowe, Jordan Esiason, Jessica Vandenberg, Stephen Hutt

Proceedings of the 17th International Conference on Educational Data Mining, 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

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Open Science and Educational Data Mining: Which Practices Matter Most?

Ryan Shaun Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava, Caitlin Mills

Proceedings of the 17th International Conference on Educational Data Mining, 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

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers.

Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan

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, 2024

2023

Analysing adaptive scaffolds that help students develop self-regulated learning behaviours.

Anabil Munshi, Gautam Biswas, Ryan Baker, Jaclyn Ocumpaugh, Stephen Hutt, Luc Paquette

J. Comput. Assist. Learn., April, 2023

Exploring Cross-Country Prediction Model Generalizability in MOOCs.

Juan Miguel L. Andres-Bray, Stephen Hutt, Ryan Shaun Baker

Proceedings of the Tenth ACM Conference on Learning @ Scale, 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, Stephen Hutt, Caitlin Mills

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 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

Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 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

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

The Right To Be Forgotten and Educational Data Mining: Challenges and Paths Forward.

Stephen Hutt, Sanchari Das, Ryan Baker

Proceedings of the 16th International Conference on Educational Data Mining, 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

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

Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment.

Nidhi Nasiar, Ryan Shaun Baker, Yishan Zou, Jiayi Zhang, Stephen Hutt

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

Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis.

Alex Goslen, Nathan L. Henderson, Jonathan P. Rowe, Jiayi Zhang, Stephen Hutt, Jaclyn Ocumpaugh, Eric N. Wiebe, Kristy Elizabeth Boyer, Bradford W. Mott, James C. Lester

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

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

Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data.

Stephen Hutt, Ryan S. Baker, Michael Mogessie Ashenafi, Juan Miguel L. Andres-Bray, Christopher Brooks

Br. J. Educ. Technol., 2022

Research Using the MOOC Replication Framework and E-TRIALS.

Ryan Baker, Stephen Hutt, Michael Mogessie Ashenafi, Haripriya Valayaputtar

Proceedings of the IEEE Learning with MOOCS, 2022

Evaluating Calibration-free Webcam-based Eye Tracking for Gaze-based User Modeling.

Stephen Hutt, Sidney K. D'Mello

Proceedings of the International Conference on Multimodal Interaction, 2022

Evaluating Gaming Detector Model Robustness Over Time.

Nathan Levin, Ryan Baker, Nidhi Nasiar, Stephen Fancsali, Stephen Hutt

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process.

Jiayi Zhang, Juliana Ma. Alexandra L. Andres, Stephen Hutt, Ryan S. Baker, Jaclyn Ocumpaugh, Caitlin Mills, Jamiella Brooks, Sheela Sethuraman, Tyron Young

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Investigating Student Interest and Engagement in Game-Based Learning Environments.

Jiayi Zhang, Stephen Hutt, Jaclyn Ocumpaugh, Nathan L. Henderson, Alex Goslen, Jonathan P. Rowe, Kristy Elizabeth Boyer, Eric N. Wiebe, Bradford W. Mott, James C. Lester

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

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

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 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, Nidhi Nasiar, Chelsea Porter

Proceedings of the Advances in Quantitative Ethnography - Third International Conference, 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

Proceedings of the 14th International Conference on Educational Data Mining, 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, Yingbin Zhang, Luc Paquette, Stefan Slater, Gautam Biswas

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 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

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Affect-Targeted Interviews for Understanding Student Frustration.

Ryan S. Baker, 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

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Towards Sharing Student Models Across Learning Systems.

Ryan S. Baker, Bruce M. McLaren, Stephen Hutt, J. Elizabeth Richey, Elizabeth Rowe, Ma. Victoria Almeda, Michael Mogessie Ashenafi, Juliana Ma. Alexandra L. Andres

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2019

Automated gaze-based mind wandering detection during computerized learning in classrooms.

Stephen Hutt, Kristina Krasich, Caitlin Mills, Nigel Bosch, Shelby White, James R. Brockmole, Sidney K. D'Mello

User Model. User Adapt. Interact., 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

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 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

Proceedings of the 12th International Conference on Educational Data Mining, 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

Proceedings of the 12th International Conference on Educational Data Mining, 2019

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

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Prospectively predicting 4-year college graduation from student applications.

Stephen Hutt, Margo Gardener, Donald Kamentz, Angela Lee Duckworth, Sidney K. D'Mello

Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

"Mind" TS: Testing a Brief Mindfulness Intervention with an Intelligent Tutoring System.

Kristina Krasich, Stephen Hutt, Caitlin Mills, Catherine A. Spann, James R. Brockmole, Sidney K. D'Mello

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

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, Nigel Bosch, Kristina Krasich, James R. Brockmole, Sidney K. D'Mello

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 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

Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017

Gaze-based Detection of Mind Wandering during Lecture Viewing.

Stephen Hutt, Jessica Hardey, Robert Bixler, Angela Stewart, Evan F. Risko, Sidney D'Mello

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System.

Stephen Hutt, Caitlin Mills, Shelby White, Patrick J. Donnelly, Sidney K. D'Mello

Proceedings of the 9th International Conference on Educational Data Mining, 2016