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Personal profile

Research Interests

My research employs statistics and machine learning to model emotion, engagement, and learning, with a special focus on the fair treatment of students who are members of underrepresented groups. My work has included automatic measurement of emotion during computer programming education, studying metacognition in online courses via natural language processing, and other topics related to learning and affective computing.

My research is supported by grants from the National Science Foundation (NSF), Institute of Education Sciences (IES), and the University of Illinois. Papers resulting from my research have been published at journals and peer-reviewed conferences, where I also regularly present on my research.

Professional Information

I am an Assistant Professor in the School of Information Sciences (iSchool) at the University of Illinois Urbana-Champaign, with a joint appointment in the Department of Educational Psychology. I am also a faculty affiliate at the National Center for Supercomputing Applications (NCSA), and a faculty affiliate in Illinois Informatics.

I completed my PhD in Computer Science at the University of Notre Dame. Subsequently, I was a postdoctoral researcher at the National Center for Supercomputing Applications.

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Research Output

Online discussion forum help-seeking behaviors of students underrepresented in STEM

Jay, V., Henricks, G. M., Anderson, C. J., Angrave, L. C., Bosch, N., Williams-Dobosz, D., Shaik, N., Bhat, S. & Perry, M., Jun 2020, The Interdisciplinarity of the Learning Sciences: 14th International Conference of the Learning Sciences (ICLS) 2020. Gresalfi, M. & Horn, I. S. (eds.). International Society of the Learning Sciences, Vol. 2. p. 809-810

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • The Invisible Breadcrumbs of Digital Learning: How Learner Actions Inform Us of Their Experience

    Paquette, L. & Bosch, N., 2020, Handbook of Research on Digital Learning. Montebello, M. (ed.). IGI Global, p. 302-316 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • The relationship between confusion and metacognitive strategies in Betty's Brain

    Zhang, Y., Bosch, N., Paquette, L., Munshi, A., Baker, R. S., Biswas, G. & Ocumpaugh, J., Mar 23 2020, LAK 2020 Conference Proceedings - Celebrating 10 years of LAK: Shaping the Future of the Field - 10th International Conference on Learning Analytics and Knowledge. Association for Computing Machinery, p. 276-284 9 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Affect sequences and learning in Betty's brain

    Andres, J. M. A. L., Paquette, L., Ocumpaugh, J., Jiang, Y., Baker, R. S., Karumbaiah, S., Slater, S., Bosch, N., Munshi, A., Moore, A. & Biswas, G., Mar 4 2019, Proceedings of the 9th International Conference on Learning Analytics and Knowledge: Learning Analytics to Promote Inclusion and Success, LAK 2019. Association for Computing Machinery, p. 383-390 8 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Automated gaze-based mind wandering detection during computerized learning in classrooms

    Hutt, S., Krasich, K., Mills, C., Bosch, N., White, S., Brockmole, J. R. & D’Mello, S. K., Sep 1 2019, In : User Modeling and User-Adapted Interaction. 29, 4, p. 821-867 47 p.

    Research output: Contribution to journalArticle