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2020 – today
- 2024
[c38]Aaron Haim
, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan:
Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers. AIED Companion (2) 2024: 446-451- [c37]Siobahn Day Grady, Stephen Hutt, Karla Badillo-Urquiola, Gloria Opoku-Boateng Osardu, Angela E. B. Stewart, Eiad Yafi:
Creating an equitable CHI - What does it mean to be an ally? CHI Extended Abstracts 2024: 585:1-585:3 - [c36]Ryan Shaun Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava, Caitlin Mills:
Open Science and Educational Data Mining: Which Practices Matter Most? EDM 2024 - [c35]Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan:
Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers. EDM 2024 - [c34]Andres Felipe Zambrano, Nidhi Nasiar, Jaclyn Ocumpaugh, Alex Goslen, Jiayi Zhang, Jonathan P. Rowe, Jordan Esiason, Jessica Vandenberg, Stephen Hutt:
Says Who? How different ground truth measures of emotion impact student affective modeling. EDM 2024 - [c33]Stephen Hutt, Allison DePiro, Joann Wang, Sam Rhodes, Ryan Shaun Baker, Grayson Hieb, Sheela Sethuraman, Jaclyn Ocumpaugh, Caitlin Mills:
Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback. LAK 2024: 55-65 - [c32]Stephen Hutt, Grayson Hieb:
Scaling Up Mastery Learning with Generative AI: Exploring How Generative AI Can Assist in the Generation and Evaluation of Mastery Quiz Questions. L@S 2024: 310-314 - [e1]Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernández Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C. M. Yang, Owen H. T. Lu, Hiroaki Ogata, Vanessa Echeverría, Roberto Martínez Maldonado, Yi-Shan Tsai, LuEttaMae Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gasevic, Caitlin Mills, Stephen Hutt:
Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), Kyoto, Japan, March 18-22, 2024. CEUR Workshop Proceedings 3667, CEUR-WS.org 2024 [contents] - [i1]Ryan S. Baker, Nigel Bosch, Stephen Hutt, Andres Felipe Zambrano, Alex J. Bowers:
On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem. CoRR abs/2404.06989 (2024) - 2023
- [j4]Anabil Munshi, Gautam Biswas, Ryan Baker, Jaclyn Ocumpaugh, Stephen Hutt, Luc Paquette:
Analysing adaptive scaffolds that help students develop self-regulated learning behaviours. J. Comput. Assist. Learn. 39(2): 351-368 (2023) - [c31]Nidhi Nasiar, Ryan Shaun Baker, Yishan Zou, Jiayi Zhang, Stephen Hutt:
Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment. AIED (Posters/Late Breaking Results/...) 2023: 453-459 - [c30]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:
It's Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning. AIED (Posters/Late Breaking Results/...) 2023: 497-503 - [c29]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:
Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis. AIED (Posters/Late Breaking Results/...) 2023: 681-687 - [c28]Stephen Hutt, Sanchari Das, Ryan Baker:
The Right To Be Forgotten and Educational Data Mining: Challenges and Paths Forward. EDM 2023 - [c27]Vishal Kiran Kuvar, Julia W. Y. Kam, Stephen Hutt, Caitlin Mills:
Detecting When the Mind Wanders Off Task in Real-time: An Overview and Systematic Review. ICMI 2023: 163-173 - [c26]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:
Cracking the Code of Learning Gains: Using Ordered Network Analysis to Understand the Influence of Prior Knowledge. ICQE 2023: 18-33 - [c25]Aaron Y. Wong, Richard L. Bryck, Ryan S. Baker, Stephen Hutt, Caitlin Mills:
Using a Webcam Based Eye-tracker to Understand Students' Thought Patterns and Reading Behaviors in Neurodivergent Classrooms. LAK 2023: 453-463 - [c24]Juan Miguel L. Andres-Bray, Stephen Hutt, Ryan Shaun Baker:
Exploring Cross-Country Prediction Model Generalizability in MOOCs. L@S 2023: 183-194 - 2022
- [j3]Stephen Hutt, Ryan S. Baker, Michael Mogessie Ashenafi, Juan Miguel L. Andres-Bray, Christopher Brooks:
Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data. Br. J. Educ. Technol. 53(4): 756-775 (2022) - [j2]Stephen Hutt, Angela E. B. Stewart, Julie M. Gregg, Stephen M. Mattingly, Sidney K. D'Mello:
Feasibility of Longitudinal Eye-Gaze Tracking in the Workplace. Proc. ACM Hum. Comput. Interact. 6(ETRA): 148:1-148:21 (2022) - [c23]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:
Investigating Student Interest and Engagement in Game-Based Learning Environments. AIED (1) 2022: 711-716 - [c22]Jiayi Zhang, Juliana Ma. Alexandra L. Andres, Stephen Hutt, Ryan S. Baker, Jaclyn Ocumpaugh, Caitlin Mills, Jamiella Brooks, Sheela Sethuraman, Tyron Young:
Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process. EDM 2022 - [c21]Nathan Levin, Ryan Baker, Nidhi Nasiar, Stephen Fancsali, Stephen Hutt:
Evaluating Gaming Detector Model Robustness Over Time. EDM 2022 - [c20]Stephen Hutt, Sidney K. D'Mello:
Evaluating Calibration-free Webcam-based Eye Tracking for Gaze-based User Modeling. ICMI 2022: 224-235 - [c19]Ryan Baker, Stephen Hutt, Michael Mogessie Ashenafi, Haripriya Valayaputtar:
Research Using the MOOC Replication Framework and E-TRIALS. LWMOOCS 2022: 131-136 - 2021
- [c18]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:
Affect-Targeted Interviews for Understanding Student Frustration. AIED (1) 2021: 52-63 - [c17]Ryan S. Baker, Bruce M. McLaren, Stephen Hutt, J. Elizabeth Richey, Elizabeth Rowe, Ma. Victoria Almeda, Michael Mogessie Ashenafi, Juliana Ma. Alexandra L. Andres:
Towards Sharing Student Models Across Learning Systems. AIED (2) 2021: 60-65 - [c16]Yiqiu Zhou, Juan Miguel L. Andres-Bray, Stephen Hutt, Korinn Ostrow, Ryan S. Baker:
A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners. AIED (2) 2021: 427-432 - [c15]Stephen Hutt, Kristina Krasich, James R. Brockmole, Sidney K. D'Mello:
Breaking out of the Lab: Mitigating Mind Wandering with Gaze-Based Attention-Aware Technology in Classrooms. CHI 2021: 52:1-52:14 - [c14]Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Anabil Munshi, Nigel Bosch, Ryan S. Baker, Yingbin Zhang, Luc Paquette, Stefan Slater, Gautam Biswas:
Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. CogSci 2021 - [c13]Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker:
Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. EDM 2021 - [c12]Juliana Ma. Alexandra L. Andres, Stephen Hutt, Jaclyn Ocumpaugh, Ryan S. Baker, Nidhi Nasiar, Chelsea Porter:
How Anxiety Affects Affect: A Quantitative Ethnographic Investigation Using Affect Detectors and Data-Targeted Interviews. ICQE 2021: 268-283 - [c11]Emily Jensen, Tetsumichi Umada, Nicholas C. Hunkins, Stephen Hutt, Anne Corinne Huggins-Manley, Sidney K. D'Mello:
What You Do Predicts How You Do: Prospectively Modeling Student Quiz Performance Using Activity Features in an Online Learning Environment. LAK 2021: 121-131
2010 – 2019
- 2019
- [j1]Stephen Hutt, Kristina Krasich, Caitlin Mills, Nigel Bosch, Shelby White, James R. Brockmole, Sidney K. D'Mello:
Automated gaze-based mind wandering detection during computerized learning in classrooms. User Model. User Adapt. Interact. 29(4): 821-867 (2019) - [c10]Stephen Hutt, Joseph F. Grafsgaard, Sidney K. D'Mello:
Time to Scale: Generalizable Affect Detection for Tens of Thousands of Students across An Entire School Year. CHI 2019: 496 - [c9]Stephen Hutt, Margo Gardner, Angela Lee Duckworth, Sidney K. D'Mello:
Evaluating Fairness and Generalizability in Models Predicting On-Time Graduation from College Applications. EDM 2019 - [c8]Emily Jensen, Stephen Hutt, Sidney K. D'Mello:
Generalizability of Sensor-Free Affect Detection Models in a Longitudinal Dataset of Tens of Thousands of Students. EDM 2019 - [c7]Cathlyn Stone, Abigail Quirk, Margo Gardener, Stephen Hutt, Angela Lee Duckworth, Sidney K. D'Mello:
Language as Thought: Using Natural Language Processing to Model Noncognitive Traits that Predict College Success. LAK 2019: 320-329 - 2018
- [c6]Kristina Krasich, Stephen Hutt, Caitlin Mills, Catherine A. Spann, James R. Brockmole, Sidney K. D'Mello:
"Mind" TS: Testing a Brief Mindfulness Intervention with an Intelligent Tutoring System. AIED (2) 2018: 176-181 - [c5]Stephen Hutt, Margo Gardener, Donald Kamentz, Angela Lee Duckworth, Sidney K. D'Mello:
Prospectively predicting 4-year college graduation from student applications. LAK 2018: 280-289 - 2017
- [c4]Stephen Hutt, Jessica Hardey, Robert Bixler, Angela Stewart, Evan F. Risko, Sidney D'Mello:
Gaze-based Detection of Mind Wandering during Lecture Viewing. EDM 2017 - [c3]Justin DeBenedetto, Stephen Hutt, Louis Faust, Anqing Liu, Nathaniel Kremer-Herman:
Placating plato with plates of pasta: An interactive tool for teaching the dining philosophers problem. FIE 2017: 1-9 - [c2]Stephen Hutt, Caitlin Mills, Nigel Bosch, Kristina Krasich, James R. Brockmole, Sidney K. D'Mello:
"Out of the Fr-Eye-ing Pan": Towards Gaze-Based Models of Attention during Learning with Technology in the Classroom. UMAP 2017: 94-103 - 2016
- [c1]Stephen Hutt, Caitlin Mills, Shelby White, Patrick J. Donnelly, Sidney K. D'Mello:
The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System. EDM 2016: 86-93
Coauthor Index
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last updated on 2024-10-31 20:12 CET by the dblp team
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