Aczel, B., Szaszi, B., Kósa, L., Torma, Z., Kumpel, H., Clelland, H. T., Hoffmann, S., Kovacs, M., Ahnström, L., Holzmeister, F., Nilsonne, G… Shaw, S. T., … Nosek, B. (2026). Investigating the analytical robustness of the social and behavioural sciences. Nature, 652(8108), 135-142.
Rostkowski, E., Rushton, N., Smith, H., & Shaw, S. T. (2025). Teaching Statistics in the Age of AI: Leveraging Learning Sciences Principles with AI Tool Use to Support GAISE. Scatterplot, 2(1), 2572149.
Shaw, S. T., McReynolds, A., Neer, E., Zhu, T., & Givvin, K. (2025). An exploratory investigation of undergraduate students’ values and experiences with breaks, leisure, and rest. Journal of College Student Development, 66(5), 583 599. https://doi.org/10.1353/csd.2025.a970180
Bye, J. K., Chan, J. Y. C., Closser, A. H., Lee, J. E., Shaw, S. T., & Ottmar, E. R. (2024). Perceiving precedence: Order of operations errors are predicted by perception of equivalent expressions. Journal of Numerical Cognition, 10, 1-23. https://doi.org/10.5964/jnc.14103
Rahal, D., Shaw, S. T., Tucker, M., & Stigler, J. (2024). Status in a psychological statistics class: The role of academic and status-based identities in college students’ subjective social status. Social Psychology of Education. 10.1007/s11218-024-09885-4
Rahal, D., & Shaw, S. T. (2023). Impacts of the COVID-19 transition to remote instruction for university students. Journal of Student Affairs Research and Practice, DOI: 10.1080/19496591.2022.2111519
Tucker, M. C., Shaw, S. T., Son, J. Y., & Stigler, J. W. (2023). Teaching Statistics and Data Analysis with R. Journal of Statistics and Data Science Education, 1-32. DOI: 10.1080/26939169.2022.2089410
Rahal, D., Shaw, S. T., & Stigler, J. (2023). Lower socioeconomic status is related to higher negative emotional well-being prior to academic exams. Anxiety, Stress, & Coping. 1-17. doi: https://doi.org/10.1080/10615806.2022.2110588
Iannacchione, A., Ottmar, E., Ngo, V., Mason, C., Smith, H., Drzewiecki, K., & Shaw, S. T. (2023). Examining relations between math anxiety, prior knowledge, hint usage, and math performance in two different online learning contexts. Instructional Science. 1 - 23. doi:10.1007/s11251-022-09604-6
Shaw, S. T., Luna, M. A. Rodriguez, B., Vilalta, N., & Ramirez, G. (2022). Mathematical creativity in elementary school children: General patterns and effects of an incubation break. Frontiers in Education, 7, doi: https://doi.org/10.3389/feduc.2022.835911
Shaw, S. T., Pogossian, & Ramirez, G. (2020). The mathematical flexibility of college students: The role of affective and cognitive factors. British Journal of Educational Psychology. https://onlinelibrary.wiley.com/doi/full/10.1111/bjep.12340
Ramirez, G., Shaw, S. T., & Maloney, E. A. (2018). Math anxiety: Past research, promising interventions, and a new interpretation framework. Educational Psychologist, 53(3), 145-166. doi:10.1080/00461520.2018.1447384
Mederer, A., Nguyen, C., Shaw, S. T., & Pollard, B. (2025, August 6-7). How students represent physics knowledge through recall. Paper presented at Physics Education Research Conference 2025, Washington, DC. Retrieved November 13, 2025, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=17152&DocID=6080
Matlen, B., Bartel, A., Davenport, J., Rohrer, D., Heffernan, C., Shaw, S. T., & Heffernan, N. (2025, July). Scaling learning interventions: A case study in interleaved math practice. In Proceedings of the Twelfth ACM Conference on Learning@ Scale (pp. 35-39).
Gurung, A., Baral, S., Vanacore, K. P., Mcreynolds, A. A., Kreisberg, H., Botelho, A. F., Shaw, S. T., & Heffernan, N. T. (2023, March). Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers?. In LAK23: 13th International Learning Analytics and Knowledge Conference (pp. 399-410).
Haim, A., Shaw, S. T., & Heffernan, N. (2023, March). How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. In LAK23: 13th International Learning Analytics and Knowledge Conference (pp. 156-164).
Vanacore, K., Gurung, A., Mcreynolds, A., Liu, A., Shaw, S. T., & Heffernan, N. (2023, March). Impact of Non-Cognitive Interventions on Student Learning Behaviors and Outcomes: An analysis of seven large-scale experimental inventions. In LAK23: 13th International Learning Analytics and Knowledge Conference (pp. 165-174).
Haim, A., Gyurcsan, R., Baxter, C., Shaw, S. T., & Heffernan, N. T., III. (2023, July). How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference. Proceedings of the 16th International Conference on Educational Data Mining (EDM ‘23), 114–124, July 11-14, 2023, Indian Institute of Science Campus, Bengalaru, India. https://doi.org/10.5281/zenodo.8115651
Haim, A., Gyurcsan, R., Baxter, C., Shaw, S. T., & Heffernan, N. T., III. (2023, July). How to Open Science: Analyzing the Open Science Statement Compliance of the Learning @ Scale Conference. In Proceedings of the Tenth ACM Conference on Learning @ Scale (L@S '23). Association for Computing Machinery, New York, NY, USA, 174–182. https://doi.org/10.1145/3573051.3596166
Haim, A., Gyurcssan, R., Baxter, C., Shaw, S., & Heffernan, N. (2023, July). How to Open Science: Developing and Testing Reproducibility Metrics on the Educational Data Mining Conference. In Proceedings of the 16th International Conference on Educational Data Mining. 114–124, July 11-14, 2023, Indian Institute of Science Campus, Bengalaru, India.
Shaw, S. T. (2022). Diversity in mathematical insight experiences in the wild: Evidence of opportunistic assimilation. Proceedings of the 44th Annual Conference of the Cognitive Science Society. 244-250.
Prihar, E., Manaal, S., Ostrow, K., Shaw, S. T., Sales, A., & Heffernan, N. (2022). Exploring common trends in online educational experiments. Proceedings of the 15th International Conference on Educational Data Mining.