Stephen Hutt
Orcid: 0000-0002-7041-7472
According to our database1,
Stephen Hutt
authored at least 36 papers
between 2016 and 2024.
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Bibliography
2024
Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
2023
Analysing adaptive scaffolds that help students develop self-regulated learning behaviours.
J. Comput. Assist. Learn., April, 2023
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.
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.
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.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023
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.
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.
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.
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
Proc. ACM Hum. Comput. Interact., 2022
Br. J. Educ. Technol., 2022
Proceedings of the IEEE Learning with MOOCS, 2022
Proceedings of the International Conference on Multimodal Interaction, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
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.
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.
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.
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.
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.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
2019
Automated gaze-based mind wandering detection during computerized learning in classrooms.
User Model. User Adapt. Interact., 2019
Language as Thought: Using Natural Language Processing to Model Noncognitive Traits that Predict College Success.
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.
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Evaluating Fairness and Generalizability in Models Predicting On-Time Graduation from College Applications.
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.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
2018
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018
"Mind" TS: Testing a Brief Mindfulness Intervention with an Intelligent Tutoring System.
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.
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.
Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017
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.
Proceedings of the 9th International Conference on Educational Data Mining, 2016