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Jaclyn Ocumpaugh
Jaclyn Ocumpaugh
Associate Director, Penn Center for Learning Analytics, University of Pennsylvania
Bestätigte E-Mail-Adresse bei upenn.edu
Titel
Zitiert von
Zitiert von
Jahr
Towards Sensor-Free Affect Detection in Cognitive Tutor Algebra.
RSJ d Baker, SM Gowda, M Wixon, J Kalka, AZ Wagner, A Salvi, V Aleven, ...
International Educational Data Mining Society, 2012
271*2012
Baker Rodrigo Ocumpaugh Monitoring Protocol (BROMP) 2.0 Technical and Training Manual
J Ocumpaugh, RS Baker, MAM Rodrigo
New York, NY and Manila, Philippines: Teachers College, Columbia University …, 2015
254*2015
Population validity for educational data mining models: A case study in affect detection
J Ocumpaugh, R Baker, S Gowda, N Heffernan, C Heffernan
British Journal of Educational Technology 45 (3), 487-501, 2014
2312014
Automatic detection of learning-centered affective states in the wild
N Bosch, S D'Mello, R Baker, J Ocumpaugh, V Shute, M Ventura, L Wang, ...
Proceedings of the 20th international conference on intelligent user …, 2015
2192015
Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game
VJ Shute, S D'Mello, R Baker, K Cho, N Bosch, J Ocumpaugh, M Ventura, ...
Computers & Education 86, 224-235, 2015
1652015
Using video to automatically detect learner affect in computer-enabled classrooms
N Bosch, SK D'mello, J Ocumpaugh, RS Baker, V Shute
ACM Transactions on Interactive Intelligent Systems (TiiS) 6 (2), 1-26, 2016
1442016
Sequences of frustration and confusion, and learning
Z Liu, V Pataranutaporn, J Ocumpaugh, R Baker
Educational data mining 2013, 2013
1242013
Detecting student emotions in computer-enabled classrooms
N Bosch, SK D’Mello, RS Baker, J Ocumpaugh, V Shute, M Ventura, ...
25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016
1152016
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
1102018
Incorporating effective e-learning principles to improve student engagement in middle-school mathematics
K Mulqueeny, V Kostyuk, RS Baker, J Ocumpaugh
International Journal of STEM Education 2, 1-14, 2015
992015
Interaction-Based Affect Detection in Educational Software
RS Baker, J Ocumpaugh
The Oxford Handbook of Affective Computing, 233, 2015
782015
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
752020
Towards general models of effective science inquiry in virtual performance assessments
RS Baker, J Clarke‐Midura, J Ocumpaugh
Journal of Computer Assisted Learning 32 (3), 267-280, 2016
682016
I Feel Your Pain: A Selective Review of Affect-Sensitive Instructional Strategies
S D'Mello, N Blanchard, R Baker, J Ocumpaugh, K Brawner
Design Recommendations for Intelligent Tutoring Systems: Volume 2 …, 2014
642014
Modeling learners' cognitive and affective states to scaffold SRL in open-ended learning environments
A Munshi, R Rajendran, J Ocumpaugh, G Biswas, RS Baker, L Paquette
Proceedings of the 26th conference on user modeling, adaptation and …, 2018
582018
Middle school engagement with mathematics software and later interest and self-efficacy for STEM careers
J Ocumpaugh, MO San Pedro, H Lai, RS Baker, F Borgen
Journal of Science Education and Technology 25, 877-887, 2016
562016
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
552023
Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors.
AF Botelho, RS Baker, J Ocumpaugh, NT Heffernan
International Educational Data Mining Society, 2018
522018
Predicting STEM and non-STEM college major enrollment from middle school interaction with mathematics educational software
MO Pedro, J Ocumpaugh, R Baker, N Heffernan
Educational Data Mining 2014, 2014
522014
Towards automatically detecting whether student learning is shallow
RSJD Baker, SM Gowda, AT Corbett, J Ocumpaugh
Intelligent Tutoring Systems: 11th International Conference, ITS 2012 …, 2012
502012
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