Comparing large language models for supervised analysis of students' lab notes
Rebeckah K. Fussell, Megan Flynn, Anil Damle, Michael F. J. Fox, N. G. Holmes
Physical Review Physics Education Research, vol. 21, 2025 Mar, p. 010128
Applying machine learning models in multi-institutional studies can generate bias
Rebeckah K. Fussell, Meagan Sundstrom, Sabrina McDowell, N. G. Holmes
2024 Sep, pp. 144--149
Method to assess the trustworthiness of machine coding at scale
Rebeckah K. Fussell, Emily M. Stump, N. G. Holmes
Physical Review Physics Education Research, vol. 20, 2024 Mar, p. 010113
Instructing nontraditional physics labs: Toward responsiveness to student epistemic framing
Meagan Sundstrom, Rebeckah K. Fussell, Anna McLean Phillips, Mark Akubo, Scott E. Allen, David Hammer, Rachel E. Scherr, N. G. Holmes
Physical Review Physics Education Research, vol. 19, 2023 Oct, p. 020140
Machine learning for automated content analysis: characteristics of training data impact reliability
Rebeckah Fussell, Ali Mazrui, N. G. Holmes
2022 Physics Education Research Conference Proceedings, American Association of Physics Teachers, Grand Rapids, MI, 2022 Sep, pp. 194--199
Students' varying responses to instructor prompts for frame shifts in physics labs
Meagan Sundstrom, Rebeckah Fussell, Rachel E. Scherr, N. G. Holmes
2022 Physics Education Research Conference Proceedings, American Association of Physics Teachers, Grand Rapids, MI, 2022 Sep, pp. 451--456
Jaideep Pathak, Alexander Wikner, Rebeckah Fussell, Sarthak Chandra, Brian R. Hunt, Michelle Girvan, Edward Ott
Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 28, 2018 Apr, p. 041101