Jaclyn Ocumpaugh - Concepedia

Author

Jaclyn Ocumpaugh

Columbia University ORCID

Also Known As

J. Ocumpaugh, Jaclyn L. OCUMPAUGH, Jaclyn L. Ocumpaugh, Jaclyn Ocumpaugh, Ocumpaugh, Jaclyn, Ryan S. Baker

120

Publications

2.1K

Citations

H-Index

129

Concepts

All Affiliations

Columbia University University of Pennsylvania Worcester Polytechnic Institute University of Illinois Urbana-Champaign California University of Pennsylvania

About

Jaclyn Ocumpaugh is an author at Columbia University specializing in education, learning analytics, and social sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Education	17	21	933
2	Engineering	8	8	401
3	Language Studies	5	5	75
4	Arts	1	1	15
5	Business	1	1	55

Jaclyn Ocumpaugh

Publications

1.6K

Citations

H-Index

Page 1

	Year	Citations
Automatic Detection of Learning-Centered Affective States in the Wild Nigel Bosch, Sidney K. D’Mello, Ryan S. Baker, EngineeringMachine LearningAffective DesignAffective VariableAffective Neuroscience	2015	164
Population validity for educational data mining models: A case study in affect detection Jaclyn Ocumpaugh, Ryan S. Baker, Sujith M. Gowda, British Journal of Educational Technology Affective VariableEducational InformaticsEducationEducational ApplicationAffect Detection	2014	163
Towards Sensor-Free Affect Detection in Cognitive Tutor Algebra. Ryan S. Baker, Sujith M. Gowda, Michael Wixon,	2012	152
Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game Valerie J. Shute, Sidney K. D’Mello, Ryan S. Baker, Computers & Education Stem EducationAffective StatesBehavioral SciencesStudent LearningIncoming Knowledge	2015	123
Using Video to Automatically Detect Learner Affect in Computer-Enabled Classrooms Nigel Bosch, Sidney K. D’Mello, Jaclyn Ocumpaugh, ACM Transactions on Interactive Intelligent Systems EngineeringComputer-enabled ClassroomsAffective VariableAffective NeuroscienceEducation	2016	112
Detecting student emotions in computer-enabled classrooms Nigel Bosch, Sidney K. D’Mello, Ryan S. Baker, International Joint Conference on Artificial Intelligence Student EmotionsMachine LearningInteraction ModelAffective VariableAffective Design	2016	61
Analysing adaptive scaffolds that help students develop <scp>self‐regulated</scp> learning behaviours Anabil Munshi, Gautam Biswas, Ryan S. Baker, Journal of Computer Assisted Learning Educational PsychologyEducationCognitionLearning-by-doingInstructional Models	2022	60
Incorporating effective e-learning principles to improve student engagement in middle-school mathematics Kevin Mulqueeny, Victor Kostyuk, Ryan S. Baker, International Journal of STEM Education	2015	55
Towards general models of effective science inquiry in virtual performance assessments Ryan S. Baker, Jody Clarke‐Midura, Jaclyn Ocumpaugh Journal of Computer Assisted Learning Towards General ModelsInquiry-based LearningCausal ExplanationEducationVirtual Performance Assessments	2016	55
Sequences of Frustration and Confusion, and Learning Zhongxiu Liu, Visit Pataranutaporn, Jaclyn Ocumpaugh, Educational Data Mining Affective VariableAffective NeuroscienceEducational PsychologyEducationCognition	2013	54

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