Publications

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Filters: Author is Haudek, Kevin C.  [Clear All Filters]
2020
Zhai, X., Yue, Y., Pellegrino, J. W., Haudek, K. C., & Shi, L.. (2020). Applying machine learning in science assessment: a systematic review. Studies in Science Education, 56(11), 111-151. doi:10.1080/03057267.2020.1735757
Noyes, K., McKay, R. L., Neumann, M., Haudek, K. C., & Cooper, M. M.. (2020). Developing Computer Resources to Automate Analysis of Students' Explanations of London Dispersion Forces. Journal of Chemical Education Research. presented at the 10/2020. doi:10.1021/acs.jchemed.0c00445
Zhai, X., Haudek, K. C., Shi, L., Nehm, R. H., & Urban-Lurain, M.. (2020). From substitution to redefinition: A framework of machine-learning based science assessment. Journal of Research in Science Teaching. presented at the 10/2020. doi:10.1002/tea.21658
Bierema, A., Hoskinson, A. - M., Moscarella, R. A., Lyford, A., Haudek, K. C., Merrill, J. E., & Urban-Lurain, M.. (2020). Quantifying cognitive bias in educational researchers. International Journal of Research & Method in Education. presented at the 08/2020. doi:10.1080/1743727X.2020.1804541
2019
Zagallo, P., McCourt, J., Idsardi, R., Smith, M., Urban-Lurain, M., Andrews, T., et al.. (2019). Through the Eyes of Faculty: Using Personas as a Tool for Learner-Centered Professional Development. CBE - Life Sciences Education, 18(4). presented at the 11/2019. doi:10.1187/cbe.19-06-0114
PDF icon cbe.19-06-0114(1).pdf (7.61 MB)
PDF icon Design framework for assessing argumentation in science for machine learning_NARST_20190330.pdf (276.72 KB)
2016
Stuhlsatz, M., Wilson, C. D., Buck-Bracey, Z., Urban-Lurain, M., Merrill, J. E., & Haudek, K. C.. (2016). Applying Automated Analysis to Develop a Cost-Effective Measure of Science Teacher Pedagogical Content Knowledge. In National Assocation for Research in Science Teaching Annual Conference. presented at the 04/2016, Baltimore, MD: NARST.
PDF icon Stuhlsatz_Automated_Analysis_PCK.pdf (297.56 KB)
Moscarella, R. A., Haudek, K. C., Knight, J. K., Mazur, A., Pelletreau, K. N., Prevost, L. B., et al.. (2016). Automated Analysis Provides Insights into Students’ Challenges Understanding the Processes Underlying the Flow of Genetic Information. In National Assocation for Research in Science Teaching Annual Conference. presented at the 04/2016, Baltimore, MD: NARST.
PDF icon Moscarella_Insight_Difficutlties_Gen_Flow.pdf (667.13 KB)PDF icon Moscarella_et_al_Presentation_NARST2016.pdf (1.92 MB)
Steele, M., Merrill, J. E., Haudek, K. C., & Urban-Lurain, M.. (2016). The Development of Constructed Response Astronomy Assessment Items. In National Assocation for Research in Science Teaching Annual Conference. presented at the 04/2016, Baltimore, MD: NARST. Retrieved from http://matthewmsteele.github.io/NARST2016/
PDF icon Steele_Development_Astronomy_Items.pdf (280.28 KB)
PDF icon Bierema NARST Conference 2016 Bias Poster.pdf (669.87 KB)PDF icon Bierema et al NARST proposal.pdf (407.62 KB)