Publications

Journal Articles and Published Conference Papers & Posters

2021

Williams-Dobosz, D., Jeng, A., Azevedo, R. Bosch, N., Ray, C., Perry, M. (2021) Ask for Help: Online Help-Seeking and Help-Giving as Indicators of Cognitive and Social Presence for Students Underrepresented in Chemistry. Journal of Chemical Education, 98, 3693 – 3703. [PDF]

Henricks, G. M., Bhat, S., & Perry, M. (2021). Gender and gendered discourse in two online STEM college courses. Computer-Based Learning in Context, 3(1), 1–16. https://www.upenn.edu/learninganalytics/CBLC/issue-3-1/CBLC-2021-3-1-1.pdf

Zhang, Z., Bhavya, B., Angrave, L., Sui, R., Kooper, R., Mahipal, C., & Huang, Y. (2021). How Students Search Video Captions to Learn: An Analysis of Search Terms and Behavioral Timing Data. Proceedings of ASEE Annual Virtual Conference 2021. [PDF]

Henricks, G. M., Bhat, S., & Perry, M. (2021, accepted for publication). Gender and gendered discourse in two online STEM college courses. Computer-Based Learning in Context, 3(1), 1-16. [PDF]

Zhou, J., & Bhat, S. (2021). Modeling Consistency Using Engagement Patterns in Online Courses. Proceedings of the 11th International Conference on Learning Analytics & Knowledge (LAK’21). [PDF]

Williams-Dobosz, D., Azevedo, R. F. L., Jeng, A., Thakkar, V., Bhat, S., Bosch, N., & Perry, M. (2021). A social network analysis of online engagement for college students traditionally underrepresented in STEM. Proceedings of the 11th International Conference on Learning Analytics & Knowledge (LAK’21). [PDF]

2020

Angrave L., Jensen K., Zhang Z., Mahipal C., Mussulman M., Schmitz C., Baird, R., Liu H., Sui R., Wu M., Kooper R. (2020). Improving student accessibility, equity, course performance, and lab skills: How introduction of ClassTranscribe is changing engineering education at the University of Illinois” Proceedings of ASEE Annual Virtual Conference 2020. [PDF]

Bosch, N., Crues, R. W., Shaik, N., & Paquette, L. (2020). “Hello, [REDACTED]”: Protecting student privacy in analyses of online discussion forums. Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020). International Educational Data Mining Society. [PDF] [Software]

Henricks, G., Bhat, S., & Perry, M. (2020). Gender and gendered discourse in two online STEM courses. In M. Gresalfi & I. S. Horn (Eds.), Proceedings of the 14th International Conference on Learning Sciences (ICLS) 2020, Vol 2. (pp. 811-812). Nashville, TN: International Society of the Learning Sciences [PDF]

Jay, V., Henricks, G., Bosch, N., Perry, M., Bhat, S. P., Williams-Dobosz, D., Angrave, L. C., & Shaik, N. (2020). Online discussion forum help-seeking behaviors of students underrepresented in STEM. In M. Gresalfi & I. S. Horn (Eds.), Proceedings of the 14th International Conference on Learning Sciences (ICLS) 2020, Vol 2. (pp. 809-810). Nashville, TN: International Society of the Learning Sciences [PDF]

Valdiviejas, H., & Bosch, N. (2020). Using association rule mining to uncover rarely occurring relationships in two university online STEM courses: A comparative analysis. Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020). International Educational Data Mining Society. [PDF]

2019

Angrave, L., Zhang Z., Henricks G., Mahipal C. (2019). Who Benefits? Positive learner outcomes from behavioral analytics of online lecture video viewing using ClassTranscribe. SIGCSE 2020, Portland, OR: ACM [PDF]

Bosch, N., Huang, E., Angrave, L., & Perry, M. (2019). Modeling improvement for underrepresented minorities in online STEM education. In Proceedings of the 27th Conference on User Modeling, Adaptation and Personalization (UMAP 2019) (pp. 327–335). New York, NY: ACM. [PDF]

Huang, E., Valdiviejas, H., & Bosch, N. (2019). I’m sure! Automatic detection of metacognition in online course discussion forums. In Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction (ACII 2019) (pp. 241–247). Piscataway, NJ: IEEE. [PDF]

2018

Bosch, N., Crues, R. W., & Shaik, N. (2018). Diverse learners, diverse motivations: Exploring the sentiment of learning objectives. In K. E. Boyer & M. Yudelson (Eds.) Proceedings of the 11th International Conference on Educational Data Mining (pp. 177-186). Buffalo, New York. [PDF]

Bosch, N., Crues, R. W., Henricks, G. M., Perry, M., Angrave, L., Shaik, N., Bhat, S., & Anderson, C. J. (2018). Modeling key differences in underrepresented students’ interactions with an online STEM course. In A. L. Story (Ed.), Proceeding of the Technology, Mind, and Society Conference. New York, New York: ACM. [PDF]

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. Yudelson (Eds.) Proceedings of the 11th International Conference on Educational Data Mining (pp. 177-186). Buffalo, New York.[PDF]

Crues, R. W., Bosch, N., Perry, M., Angrave, L., Shaik, N., & Bhat, S. (2018). Refocusing the lens on engagement in MOOCs. In S. Klemmer & K. Koedinger (Eds.) Proceedings of the Fifth Annual ACM Conference on Learning at Scale. New York, New York: ACM. [PDF]

Crues, R.W., Henricks, G.M., Perry, M., Bhat, S., Anderson, C. J., Shaik, N., & Angrave, L. (2018). How do gender, learning goals, and forum participation predict persistence in a computer science MOOC? ACM Transactions on Computing Education, 18(4). [PDF]

Prior to 2018

Bhat, S., Chinprutthiwong, P., & Perry, M. (2015). Seeing the instructor in two video styles: Preferences and patterns. In O. C. Santos, J. G. Boticario, C. Romero, M. Pechenizkiv, A Merseron, P. Mitros, J.M. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, M. Desmerais. (Eds.) Proceedings of the 8th International Conference on Educational Data Mining (305-312) Madrid, Spain. [PDF]

Conference Presentations

Henricks, G. M., Perry, M., & Bhat, S. P. (2021, April). The relationship between gender, language, and posting type in an online course discussion forum. Roundtable paper presented at the annual meeting of the American Educational Research Association, San Francisco.

Jay, V., Henricks, G. M., Anderson, C. J., Angrave, L., Bosch, N., Williams-Dobosz, D., Shaik, N., Bhat, S., & Perry, M. (2021, April).  Patterns and outcomes of online help-seeking behavior for students underrepresented in STEM. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.

Valdiviejas, H., Azevedo, R. F. L., Maldonado, E., Bosch, N., Anderson, C., & Perry, M. (2021, April). Spontaneously produced metacognitive language and achievement in a STEM online college course: An exploratory analysis. Roundtable paper presented at the annual meeting of the American Educational Research Association.

Williams-Dobosz, D., Jay, V., Thakkar, V., Bhat, S. Azevedo, R. F. L., Henricks, G., Anderson, C. J., Angrave, L., Bosch, N., Shaik, N., & Perry, M. (2021, April). Online help-seeking behavior and responses to requests for help, for students underrepresented in STEM. Poster presented at the annual meeting of the American Educational Research Association.

Valdiviejas, H., Bosch, N., Huang, E., Jay, V., Anderson, C. J., & Perry, M. (2019, October). Expression of metacognition in online STEM courses: Functions and effects. Poster  presented at the Cognitive Development Society Biennial Conference, Louisville, KY   [PDF]

Henricks, G. M., Crues, R. W., Bhat, S., & Perry, M. (2018, April). Predicting learning by using students’ perceptions of and experiences with statistics online course video. Poster presented at the Annual Meeting of the American Educational Research Association, New York, New York.

Crues, R, W., Henricks, G. M., Perry, M., Bhat, S., Anderson, C. J., Shaik, N., & Angrave, L. (2018, February). How do gender, learning goals, and forum participation predict persistence in a computer science MOOC? Paper presented at the 49th ACM Technical Symposium on Computer Science Education (SIGCSE), Baltimore, Maryland.

Henricks, G., Bhat, S., & Perry, M. (2016). Toward Impacting Learning Experiences in MOOCs. Poster presented at the Association for Psychological Science (APS) annual convention, Chicago, Illinois.

Please note: Electronic copies of these journal articles are provided as a professional courtesy for personal use only, and can be accessed by clicking on pdf following the reference to the article. These articles are copyrighted by the journals in which they appear. Commercial use or mass reproduction of these articles is prohibited.