| Expert feature-engineering vs. deep neural networks: which is better for sensor-free affect detection? Y Jiang, N Bosch, RS Baker, L Paquette, J Ocumpaugh, JMAL Andres, ... Artificial Intelligence in Education: 19th International Conference, AIED …, 2018 | 100 | 2018 |
| More confusion and frustration, better learning: The impact of erroneous examples JE Richey, JML Andres-Bray, M Mogessie, R Scruggs, JMAL Andres, ... Computers & Education 139, 173-190, 2019 | 76 | 2019 |
| Who's Learning? Using Demographics in EDM Research. L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker Journal of Educational Data Mining 12 (3), 1-30, 2020 | 62 | 2020 |
| Affect Sequences and Learning in Betty’s Brain JM Alexandra, L Andres, J Ocumpaugh, RS Baker, S Slater, L Paquette, ... Proceedings of the 9th International Conference on Learning Analytics …, 2019 | 42* | 2019 |
| BROMP quantitative field observations: A review RS Baker, JL Ocumpaugh, J Andres Learning science: Theory, research, and practice, 127-156, 2020 | 40 | 2020 |
| 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 | 22 | 2021 |
| The implications of a subtle difference in the calculation of affect dynamics S Karumbaiah, J Andres, AF Botelho, RS Baker, JS Ocumpaugh 26th International Conference for Computers in Education, 29-38, 2018 | 21 | 2018 |
| Wheel-spinning in a game-based learning environment for physics TD Palaoag, MMT Rodrigo, JML Andres, JMAL Andres, JE Beck Intelligent Tutoring Systems: 13th International Conference, ITS 2016 …, 2016 | 19 | 2016 |
| A re-analysis and synthesis of data on affect dynamics in learning S Karumbaiah, RS Baker, J Ocumpaugh, JMAL Andres IEEE Transactions on Affective Computing 14 (2), 1696-1710, 2021 | 17 | 2021 |
| 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 | 16 | 2021 |
| Using qualitative data from targeted interviews to inform rapid AIED development J Ocumpaugh, S Hutt, J Andres, RS Baker, G Biswas, N Bosch, ... Proceedings of the 29th international conference on computers in education …, 2021 | 13 | 2021 |
| How anxiety affects affect: a quantitative ethnographic investigation using affect detectors and data-targeted interviews JMAL Andres, S Hutt, J Ocumpaugh, RS Baker, N Nasiar, C Porter Advances in Quantitative Ethnography: Third International Conference, ICQE …, 2022 | 9 | 2022 |
| Using machine learning to detect SMART model cognitive operations in mathematical problem-solving process J Zhang, JMAL Andres, S Hutt, RS Baker, J Ocumpaugh, N Nasiar, C Mills, ... Journal of Educational Data Mining 14 (3), 76-108, 2022 | 6 | 2022 |
| Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process. J Zhang, JMAL Andres, S Hutt, RS Baker, J Ocumpaugh, C Mills, J Brooks, ... International Educational Data Mining Society, 2022 | 6 | 2022 |
| Who’s stopping you?–Using microanalysis to explore the impact of science anxiety on self-regulated learning operations S Hutt, J Ocumpaugh, JMAL Andres, A Munshi, N Bosch, RS Baker, ... Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | 6 | 2021 |
| An investigation of eureka and the affective states surrounding eureka moments J Andres, JML Andres, MMT Rodrigo, RS Baker, JB Beck Proceedings of the 23rd International Conference on Computers in Education, 2015 | 5 | 2015 |
| Towards sharing student models across learning systems RS Baker, BM McLaren, S Hutt, JE Richey, E Rowe, MV Almeda, ... International Conference on Artificial Intelligence in Education, 60-65, 2021 | 3 | 2021 |
| Automated Multi-Dimensional Analysis of Peer Feedback in Middle School Mathematics J Zhang, RS Baker, JM Andres, S Hutt, S Sethuraman Proceedings of the 16th International Conference on Computer-Supported …, 2023 | 2 | 2023 |
| Exploring players' experience of humor and snark in a grade 3-6 history practices game DJ Gagnon, RS Baker, S Gagnon, L Swanson, N Spevacek, J Andres, ... arXiv preprint arXiv:2210.09906, 2022 | 2 | 2022 |
| Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. S Hutt, J Ocumpaugh, JMAL Andres, N Bosch, L Paquette, G Biswas, ... EDM, 2021 | 2 | 2021 |
Ryan BakerUniversity of Pennsylvania在 upenn.edu 的电子邮件经过验证
