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Alexandra L. Andres
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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
1002018
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
762019
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
622020
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
402020
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
222021
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
212018
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
192016
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
172021
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
162021
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
132021
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
92022
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
62022
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
62022
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
62021
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
52015
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
32021
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
22023
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
22022
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
22021
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