Current Research

First Author Publications:

Ocumpaugh, J., Baker, R.S., Rodrigo, M.M.T. (2015) Baker Rodrigo Ocumpaugh Monitoring Protocol (BROMP) 2.0 Technical and Training Manual. Technical Report. New York, NY: Teachers College, Columbia University. Manila, Philippines: Ateneo Laboratory for the Learning Sciences.

Ocumpaugh, J., Baker, R.S., Rodrigo, M.M.T., Salvi, A. van Velsen, M., Aghababyan, A., Martin, T. (2015). HART: The Human Affect Recording ToolProceedings of the ACM Special Interest Group on the Design of Communication (SIGDOC).

Ocumpaugh, J., Baker, R., Gowda, S., Heffernan, N., Heffernan, C. (2014) Population validity for Educational Data Mining models: A case study in affect detectionBritish Journal of Educational Technology, 45 (3), 487-501.

Ocumpaugh, J., Baker, R.S.J.d., Rodrigo, M.M.T. (2012) Baker-Rodrigo Observation Method Protocol (BROMP) Training Manual version 1.0. Technical Report. New York, NY: EdLab. Manila, Philippines: Ateneo Laboratory for the Learning Sciences.  

Ocumpaugh, J., Baker, R.S., Kamarainen, A.M., Metcalf, S.J. (2014) Modifying Field Observation Methods on the Fly: Metanarrative and Disgust in an Environmental MUVE. Proceedings of PALE 2013: The 4th International Workshop on Personalization Approaches in Learning Environments, 49-54.

Ocumpaugh, J., Baker, R.S.J.d., Gaudino, S., Labrum, M.J., Dezendorf, T. (2013) Field Observations of Engagement in Reasoning Mind. Proceedings of the 16th International Conference on Artificial Intelligence and Education, 624-627.

Other Recent Publications:

Baker, R.S.J.d., Ocumpaugh, J. (2015) Interaction-Based Affect Detection in Educational Software. In R.A. Calvo, S.K. D’Mello, J. Gratch, A. Kappas (Eds.), Handbook of Affective Computing. Oxford, UK: Oxford University Press.

Baker, R., Clarke-Midura, J., Ocumpaugh, J. (in press) Towards General Models of Effective Science Inquiry in Virtual Performance Assessments. To appear in Journal of Computer Assisted Learning, Special Issue on Learning Analytics in Massively Multiuser Games, Virtual Environments and Courses.

Baker, R.S., Ocumpaugh, J., Gowda, S.M., Kamarainen, A., Metcalf, S.J. (2014) Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science. To appear in Proceedings of the 22nd Conference on User Modelling, Adaptation, and Personalization, 290-300.

Baker, R.S., DeFalco, J.A., Ocumpaugh, J., Paquette, L. (2014) Towards Detection of Engagement and Affect in a Simulation-based Combat Medic Training Environment. Paper presented at 2nd Annual GIFT User Symposium (GIFTSym2).

Baker, R.S.J.d., Gowda, S., Corbett, A., Ocumpaugh, J. (2012) Towards Automatically Detecting Whether Student Learning is Shallow. Proceedings of the International Conference on Intelligent Tutoring Systems, 444-453. [Won Best Paper Award]

Baker, R.S.J.d., Gowda, S.M., Wixon, M., Kalka, J., Wagner, A.Z., Salvi, A., Aleven, V., Kusbit, G., Ocumpaugh, J., Rossi, L. (2012) Towards Sensor-free Affect Detection in Cognitive Tutor Algebra.Proceedings of the 5th International Conference on Educational Data Mining, 126-133.

Baker, R.S., Ocumpaugh, J. (2014) Cost-Effective, Actionable Engagement Detection at Scale. Proceedings of the 7th International Conference on Educational Data Mining, 345-346.

Baker, R.S.J.d., Ocumpaugh, J.L., Gowda, S.M., Gowda, S.M., Heffernan, N.T. (2013) Ensuring Reliability of Educational Data Mining Detectors for Diverse Populations of Learners. Presentation atCREA: Center for Culturally Responsive Evaluation and Assessment: Inaugural Conference.

Bosch, N., D’Mello, S., Baker, R., Ocumpaugh, J., Shute, V., Ventura, M., Wang, L., Zhao, W. (2015) Automatic Detection of Learning-Centered Affective States in the Wild. Proceedings of the 2015 International Conference on Intelligent User Interfaces (IUI 2015), 379-388.  [Honorable Mention for Best Paper Award]

D’Mello, S., Blanchard, N., Baker, R., Ocumpaugh, J., Brawner, K. (2014) I Feel Your Pain: A Selective Review of Affect-Sensitive Instructional Strategies. In Sottilare, R., Graesser, A., Hu, X., and Goldberg, B. (Eds.). Design Recommendations for Intelligent Tutoring Systems: Volume 2 – Instructional Management, pp. 35-48. Orlando, FL: U.S. Army Research Laboratory.

Kai, S., Paquette, L., Baker, R.S., Bosch, N., D’Mello, S., Ocumpaugh, J., Shute, V., Ventura, M. (2015) A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground. Proceedings of the 8th International Conference on Educational Data Mining. , 77-84. [Won Best Student Paper Award] [Nominated for Best Paper Award]

Liu, Z., Pataranutaporn, V., Ocumpaugh, J., Baker, R.S.J.d. (2013) Sequences of Frustration and Confusion, and Learning. Proceedings of the 6th International Conference on Educational Data Mining, 114-120.

Paquette, L., de Carvalho, A.M.J.A., Baker, R.S., Ocumpaugh, J. (2014) Reengineering the Feature Distillation Process: A Case Study in the Detection of Gaming the System. Proceedings of the 7th International Conference on Educational Data Mining, 284-287.

Paquette, L., Baker, R.S., de Carvalho, A., Ocumpaugh, J. (2015) Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System. Proceedings of the 22nd International Conference on User Modeling, Adaptation, and Personalization, 183-194.

San Pedro, M.O.Z.,Ocumpaugh, J.L., Baker, R.S., Heffernan, N.T. (2014) Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software. Proceedings of the 7th International Conference on Educational Data Mining, 276-279.

Shute, V.J., D’Mello, S., Baker, R., Cho, K., Bosch, N., Ocumpaugh, J., Ventura, M., Almeda, V. (2015) Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game. Computers & Education, 86, 224-235.

Wixon, M., Baker, R.S.J.d., Gobert, J., Ocumpaugh, J., Bachmann, M. (2012) WTF? Detecting Students who are Conducting Inquiry Without Thinking Fastidiously. Proceedings of the 20th International Conference on User Modeling, Adaptation and Personalization (UMAP 2012), 286-298.

Wixon., Allessio, D., Ocumpaugh, J., Woolf, B., Burleson, W., Arroyo, I., (2015) La Mort du Chercheur: How well do students’ subjective understandings of affective representations used in self- report align with one another’s, and researchers’?

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