Nigel Bosch

in press

D'Mello, S. K., Bosch, N., & Chen, H. (in press). Multimodal, multisensory affect detection. In S. Oviatt, B. Schuller, P. Cohen, D. Sonntag, G. Potamianos, & A. Krüger (Eds.), The Handbook of Multimodal-Multisensor Interfaces, Volume 2: Signal Processing, Architectures, and Detection of Emotion and Cognition. ACM Books/Morgan Claypool.

2018

Bosch, N., Crues, R. W., Henricks, G. M., Perry, M., Angrave, L., Shaik, N., ... Anderson, C. J. (2018). Modeling key differences in underrepresented students' interactions with an online STEM course. Proceedings of TechMindSociety '18 (pp. 1-6). New York, NY: ACM.
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Bosch, N., Crues, R. W., & Shaik, N. (2018). Diverse learners, diverse motivations: Exploring the sentiment of learning objectives. In K. E. Boyer, & M. V. Yudelson (Eds.), Proceedings of the 11th International Conference on Educational Data Mining (EDM 2018) (pp. 553-556). International Educational Data Mining Society.
[PDF] [poster]

Bosch, N., Mills, C., Wammes, J. D., & Smilek, D. (2018). Quantifying classroom instructor dynamics with computer vision. In C. Rosé, R. Martínez-Maldonado, H. U. Hoppe, R. Luckin, M. Mavrikis, K. Porayska-Pomsta, ... B. du Boulay (Eds.), Proceedings of the 19th International Conference on Artificial Intelligence in Education (AIED 2018) (pp. 30-42). Cham, CH: Springer.
[PDF] [code]

Bosch, N., & Paquette, L. (2018). Metrics for discrete student models: Chance levels, comparisons, and use cases. Journal of Learning Analytics, 5 (2), 86-104.

Crues, R. W., Bosch, N., Anderson, C. J., Perry, M., Bhat, S., & Shaik, N. (2018). Who they are and what they want: Understanding the reasons for MOOC enrollment. In K. E. Boyer, & M. V. Yudelson (Eds.), Proceedings of the 11th International Conference on Educational Data Mining (EDM 2018) (pp. 177-186). International Educational Data Mining Society.
[PDF]

Crues, R. W., Bosch, N., Perry, M., Angrave, L., Shaik, N., & Bhat, S. (2018). Refocusing the lens on engagement in MOOCs. In R. Luckin, S. Klemmer, & K. R. Koedinger (Eds.), Proceedings of the 5th ACM Conference on Learning@Scale (L@S 2018) (pp. 1-10). New York, NY: ACM.
[PDF]

Jiang, Y., Bosch, N., Baker, R. S., Paquette, L., Ocumpaugh, J., Andres, J. M. A. L., ... Biswas, G. (2018). Expert feature-engineering vs. deep neural networks: Which is better for sensor-free affect detection?. In C. Rosé, R. Martínez-Maldonado, H. U. Hoppe, R. Luckin, M. Mavrikis, K. Porayska-Pomsta, ... B. du Boulay (Eds.), Proceedings of the 19th International Conference on Artificial Intelligence in Education (AIED 2018) (pp. 198-211). Cham, CH: Springer.
[PDF] [Best student paper award]

Paquette, L., Bosch, N., Mercier, E., Jung, J., Shehab, S., & Tong, Y. (2018). Matching data-driven models of group interactions to video analysis of collaborative problem solving on tablet computers. In J. Kay, & R. Luckin (Eds.), Proceedings of the 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 1 (pp. 312-319). London, UK: International Society of the Learning Sciences.
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2017

Bosch, N., & D'Mello, S. K. (2017). The affective experience of novice computer programmers. International Journal of Artificial Intelligence in Education, 27 (1), 181-206.
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Bosch, N., & Paquette, L. (2017). Unsupervised deep autoencoders for feature extraction with educational data. Deep Learning with Educational Data Workshop at the 10th International Conference on Educational Data Mining.
[PDF] [code]

D'Mello, S. K., Mills, C., Bixler, R., & Bosch, N. (2017). Zone out no more: Mitigating mind wandering during computerized reading. In X. Hu, T. Barnes, A. Hershkovitz, & L. Paquette (Eds.), Proceedings of the 10th International Conference on Educational Data Mining (EDM 2017) (pp. 8-15). International Educational Data Mining Society.
[PDF] [Best paper nominee]

Hutt, S., Mills, C., Bosch, N., Krasich, K., Brockmole, J., & D'Mello, S. K. (2017). Out of the fr-"eye"-ing pan: Towards gaze-based models of attention during learning with technology in the classroom. Proceedings of the 2017 Conference on User Modeling, Adaptation, and Personalization (UMAP 2017) (pp. 94-103). New York, NY: ACM.
[PDF] [Best student paper award]

Khan, S., Suendermann-Oeft, D., Evanini, K., Williamson, D. M., Paris, S., Qian, Y., Huang, Y., Bosch, N., D'Mello, S. K., Loukina, A., & Davis, L. (2017). MAP: Multimodal assessment platform for interactive communication competency. In S. Shehata, & J. P. L. Tan (Eds.), Practitioner Track Proceedings of the 7th International Learning Analytics & Knowledge Conference (LAK17) (pp. 6-12). SoLAR.
[PDF]

Monkaresi, H., Bosch, N., Calvo, R. A., & D'Mello, S. K. (2017). Automated detection of engagement using video-based estimation of facial expressions and heart rate. IEEE Transactions on Affective Computing, 8 (1), 15-28.
[PDF]

Stewart, A., Bosch, N., Chen, H., Donnelly, P. J., & D'Mello, S. K. (2017). Face forward: Detecting mind wandering from video during narrative film comprehension. In E. André, R. S. Baker, X. Hu, M. M. T. Rodrigo, & B. du Boulay (Eds.), Proceedings of the 18th International Conference on Artificial Intelligence in Education (AIED 2017) (pp. 359-370). Cham, CH: Springer.
[PDF]

Stewart, A., Bosch, N., & D'Mello, S. K. (2017). Generalizability of face-based mind wandering detection across task contexts. In X. Hu, T. Barnes, A. Hershkovitz, & L. Paquette (Eds.), Proceedings of the 10th International Conference on Educational Data Mining (EDM 2017) (pp. 88-95). International Educational Data Mining Society.
[PDF] [Best student paper award]

2016

Bosch, N. (2016). Detecting student engagement: Human versus machine. Proceedings of the 2016 Conference on User Modeling, Adaptation, and Personalization (UMAP 2016) (pp. 317-320). New York, NY: ACM.
[PDF]

Bosch, N., D'Mello, S. K., Baker, R. S., Ocumpaugh, J., Shute, V. J., Ventura, M., ... Zhao, W. (2016). Detecting student emotions in computer-enabled classrooms. Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016) (pp. 4125-4129). Menlo Park, CA: AAAI Press.
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Bosch, N., D'Mello, S. K., Ocumpaugh, J., Baker, R. S., & Shute, V. (2016). Using video to automatically detect learner affect in computer-enabled classrooms. ACM Transactions on Interactive Intelligent Systems (TiiS), 6 (2).
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D'Mello, S. K., Kopp, K., Bixler, R., & Bosch, N. (2016). Attending to attention: Detecting and combating mind wandering during computerized reading. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 1661-1669). New York, NY: ACM.
[PDF] [poster]

Dillon, J., Bosch, N., Chetlur, M., Wanigasekara, N., Ambrose, G. A., Sengupta, B., & D'Mello, S. K. (2016). Student emotion, co-occurrence, and dropout in a MOOC context. In T. Barnes, M. Chi, & M. Feng (Eds.), Proceedings of the 9th International Conference on Educational Data Mining (EDM 2016) (pp. 353-357). International Educational Data Mining Society.
[PDF]

Stewart, A., Bosch, N., Chen, H., Donnelly, P. J., & D'Mello, S. K. (2016). Where’s your mind at? Video-based mind wandering detection during film viewing. Proceedings of the 2016 Conference on User Modeling, Adaptation, and Personalization (UMAP 2016) (pp. 295-296). New York, NY: ACM.
[PDF] [poster]

2015

Bosch, N. (2015). Multimodal affect detection in the wild: Accuracy, availability, and generalizability. Proceedings of the 17th International Conference on Multimodal Interaction (ICMI 2015 doctoral consortium) (pp. 645-649). New York, NY: ACM.
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Bosch, N., Chen, H., Baker, R., Shute, V., & D'Mello, S. K. (2015). Accuracy vs. availability heuristic in multimodal affect detection in the wild. Proceedings of the 17th International Conference on Multimodal Interaction (ICMI 2015) (pp. 267-274). New York, NY: ACM.
[PDF] [poster]

Bosch, N., D'Mello, S. K., Baker, R. S., Ocumpaugh, J., Shute, V. J., Ventura, M., ... 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) (pp. 379-388). New York, NY: ACM.
[PDF] [Honorable mention for the best paper award]

Bosch, N., D'Mello, S. K., Baker, R., Ocumpaugh, J., & Shute, V. J. (2015). Temporal generalizability of face-based affect detection in noisy classroom environments. In C. Conati, N. T. Heffernan, A. Mitrovic, & M. Felisa Verdejo (Eds.), Proceedings of the 17th International Conference on Artificial Intelligence in Education (AIED 2015) (pp. 44-53). Cham, CH: Springer.
[PDF] [Best paper award]

Chen, Y., Bosch, N., & D'Mello, S. K. (2015). Video-based affect detection in noninteractive learning environments. In C. Romero, M. Pechenizkiy, J. Boticario, & O. Santos (Eds.), Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015) (pp. 440-443). International Educational Data Mining Society.
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Kai, S., Paquette, L., Baker, R., Bosch, N., D'Mello, S. K., Ocumpaugh, J., ... Ventura, M. (2015). Comparison of face-based and interaction-based affect detectors in physics playground. In C. Romero, M. Pechenizkiy, J. Boticario, & O. Santos (Eds.), Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015) (pp. 77-84). International Educational Data Mining Society.
[PDF] [Best student paper award]

Mills, C., D'Mello, S. K., Bosch, N., & Olney, A. (2015). Mind wandering during learning with an intelligent tutoring system. In C. Conati, N. T. Heffernan, A. Mitrovic, & M. Felisa Verdejo (Eds.), Proceedings of the 17th International Conference on Artificial Intelligence in Education (AIED 2015) (pp. 267-276). Cham, CH: Springer.
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Shute, V. J., D'Mello, S. K., Baker, R., Cho, K., Bosch, N., Ocumpaugh, J., ... 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.
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2014

Bosch, N., Chen, Y., & D'Mello, S. K. (2014). It’s written on your face: Detecting affective states from facial expressions while learning computer programming. In S. Trausan-Matu, K. E. Boyer, M. Crosby, & K. Panourgia (Eds.), Proceedings of the 12th International Conference on Intelligent Tutoring Systems (ITS 2014) (pp. 39-44). Cham, CH: Springer International Publishing.
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Bosch, N., & D'Mello, S. K. (2014). It takes two: Momentary co-occurrence of affective states during computerized learning. In S. Trausan-Matu, K. E. Boyer, M. Crosby, & K. Panourgia (Eds.), Proceedings of the 12th International Conference on Intelligent Tutoring Systems (ITS 2014) (pp. 638-639). Cham, CH: Springer International Publishing.
[PDF] [poster]

Bosch, N., & D'Mello, S. K. (2014). Co-occurring affective states in automated computer programming education. In E. Walker, & C. K. Looi (Eds.), Proceedings of the Workshop on AI-supported Education for Computer Science (AIEDCS) at the 12th International Conference on Intelligent Tutoring Systems (pp. 21-30).
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Mills, C., Bosch, N., Graesser, A., & D'Mello, S. K. (2014). To quit or not to quit: Predicting future behavioral disengagement from reading patterns. In S. Trausan-Matu, K. E. Boyer, M. Crosby, & K. Panourgia (Eds.), Proceedings of the 12th International Conference on Intelligent Tutoring Systems (ITS 2014) (pp. 19-28). Cham, CH: Springer International Publishing.
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Rodeghero, P., McMillan, C., McBurney, P. W., Bosch, N., & D'Mello, S. K. (2014). Improving automated source code summarization via an eye-tracking study of programmers. Proceedings of the 36th International Conference on Software Engineering (ICSE 2014) (pp. 390-401). New York, NY: ACM.
[PDF] [ACM distinguished paper award]

2013

Bosch, N., & D'Mello, S. K. (2013). Sequential patterns of affective states of novice programmers. In E. Walker, & C. K. Looi (Eds.), Proceedings of the First Workshop on AI-supported Education for Computer Science (AIEDCS 2013) (pp. 1-10).
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Bosch, N., & D'Mello, S. K. (2013). Programming with your heart on your sleeve: Analyzing the affective states of computer programming students. In H. C. Lane, K. Yacef, J. Mostow, & P. Pavlik (Eds.), Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED 2013) (pp. 908-911). Berlin, Heidelberg: Springer.
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Bosch, N., D'Mello, S. K., & Mills, C. (2013). What emotions do novices experience during their first computer programming learning session?. In H. C. Lane, K. Yacef, J. Mostow, & P. Pavlik (Eds.), Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED 2013) (pp. 11-20). Berlin, Heidelberg: Springer.
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Mills, C., D'Mello, S. K., Lehman, B., Bosch, N., Strain, A., & Graesser, A. (2013). What makes learning fun? Exploring the influence of choice and difficulty on mind wandering and engagement during learning. In H. C. Lane, K. Yacef, J. Mostow, & P. Pavlik (Eds.), Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED 2013) (pp. 71-80). Berlin, Heidelberg: Springer.
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