| Why high school grades are better predictors of on-time college graduation than are admissions test scores: The roles of self-regulation and cognitive ability BM Galla, EP Shulman, BD Plummer, M Gardner, SJ Hutt, JP Goyer, ... American Educational Research Journal 56 (6), 2077-2115, 2019 | 147 | 2019 |
| Automated Gaze-Based Mind Wandering Detection during Computerized Learning in Classrooms S Hutt, K Krasich, C Mills, N Bosch, S White, JR Brockmole, SK D’Mello User Modeling and User-Adapted Interaction, 2019 | 99* | 2019 |
| The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System. S Hutt, C Mills, S White, PJ Donnelly, SK D'Mello Educational Data Mining, 86-93, 2016 | 97* | 2016 |
| Out of the Fr-Eye-ing Pan: Towards Gaze-Based Models of Attention during Learning with Technology in the Classroom S Hutt, C Mills, N Bosch, K Krasich, J Brockmole, S D'Mello Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017 | 72* | 2017 |
| Gaze-based signatures of mind wandering during real-world scene processing. K Krasich, R McManus, S Hutt, M Faber, SK D'Mello, JR Brockmole Journal of Experimental Psychology: General 147 (8), 1111, 2018 | 58 | 2018 |
| Evaluating Fairness and Generalizability in Models Predicting On-Time Graduation from College Applications S Hutt, M Gardner, AL Duckworth, SK D'Mello The 12th International Conference on Educational Data Mining, 79-88, 2019 | 57 | 2019 |
| Gaze-based Detection of Mind Wandering during Lecture Viewing S Hutt, J Hardey, R Bixler, A Stewart, E Risko, SK D’Mello Educational Data Mining, 2017 | 46 | 2017 |
| Breaking out of the lab: Mitigating mind wandering with gaze‐based attention‐aware technology in classrooms S Hutt, K Krasich, JR Brockmole, SK D'Mello Proceedings of the ACM CHI conference on human factors in computing systems …, 2021 | 45 | 2021 |
| Time to scale: generalizable affect detection for tens of thousands of students across an entire school year S Hutt, JF Grafsgaard, SK D'Mello Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 44 | 2019 |
| Prospectively predicting 4-year college graduation from student applications S Hutt, M Gardener, D Kamentz, AL Duckworth, SK D'Mello Proceedings of the 8th International Conference on Learning Analytics and …, 2018 | 35 | 2018 |
| Analysing adaptive scaffolds that help students develop self‐regulated learning behaviours A Munshi, G Biswas, R Baker, J Ocumpaugh, S Hutt, L Paquette Journal of Computer Assisted Learning 39 (2), 351-368, 2023 | 26 | 2023 |
| Affect-targeted interviews for understanding student frustration RS Baker, N Nasiar, JL Ocumpaugh, S Hutt, JMAL Andres, S Slater, ... International Conference on Artificial Intelligence in Education, 52-63, 2021 | 19 | 2021 |
| The evolution of metacognitive strategy use in an open-ended learning environment: Do prior domain knowledge and motivation play a role? Y Zhang, L Paquette, N Bosch, J Ocumpaugh, G Biswas, S Hutt, RS Baker Contemporary Educational Psychology 69, 102064, 2022 | 15 | 2022 |
| Language as Thought: Using Natural Language Processing to Model Noncognitive Traits that Predict College Success C Stone, A Quirk, M Gardener, S Hutt, AL Duckworth, SK D'Mello Proceedings of the 9th International Conference on Learning Analytics …, 2019 | 14 | 2019 |
| Investigating SMART Models of Self-Regulation and Their Impact on Learning. S Hutt, J Ocumpaugh, J Ma, AL Andres, N Bosch, L Paquette, G Biswas, ... International Educational Data Mining Society, 2021 | 13 | 2021 |
| Controlled outputs, full data: A privacy‐protecting infrastructure for MOOC data S Hutt, RS Baker, MM Ashenafi, JM Andres‐Bray, C Brooks British Journal of Educational Technology 53 (4), 756-775, 2022 | 12 | 2022 |
| Using Qualitative Data from Targeted Interviews to Inform Rapid AIED Development J Ocumpaugh, S Hutt, JMAL Andres, RS Baker, G Biswas, N Bosch, ... Proceedings of the 29th International Conference on Computers in Education, 2021 | 12 | 2021 |
| Generalizability of Sensor-Free Affect Detection Models in a Longitudinal Dataset of Tens of Thousands of Students E Jensen, S Hutt, SK D'Mello The 12th International Conference on Educational Data Mining, 324-329, 2019 | 12 | 2019 |
| Evaluating Gaming Detector Model Robustness Over Time N Levin, RS Baker, N Nasiar, S Fancsali, S Hutt Educational Data Mining, 2022 | 10 | 2022 |
| How Does High School Extracurricular Participation Predict Bachelor’s Degree Attainment? It is Complicated M Gardner, S Hutt, D Kamentz, AL Duckworth, SK D’Mello Journal of Research on Adolescence 30 (3), 753-768, 2020 | 10 | 2020 |
Sidney D'MelloUniversity of Colorado BoulderDirección de correo verificada de colorado.edu
