Publications by Jennifer H. Doherty

Jescovitch, L. N., Doherty, J. H., Scott, E. E., Cerchiara, J. A., Wenderoth, M. P., Urban-Lurain, M., et al. (2019). Challenges in Developing Computerized Scoring Models for Principle-Based Reasoning in a Physiology Context. In NARST. Baltimore, MD.
Jescovitch, L. N., Doherty, J. H., Scott, E. E., Cerchiara, J. A., Wenderoth, M. P., Urban-Lurain, M., et al. (2019). Comparison of analytic and holistic coding approaches and machine learning performances across a flux learning progression. In Society for the Advancement of Biology Education Research . Minneapolis, MN.
Jescovitch, L. N., Scott, E., Cerchiara, J. A., Merrill, J. E., Urban-Lurain, M., Doherty, J. H., & Haudek, K. C. (2020). Comparison of Machine Learning Performance Using Analytic and Holistic Coding Approaches Across Constructed Response Assessments Aligned to a Science Learning Progression. Journal Of Science Education And Technology. http://doi.org/10.1007/s10956-020-09858-0 (Original work published September 2020)
Shiroda, M., Scott, E., Doherty, J. H., & Haudek, K. C. (2022). Covariational reasoning and item context affect student language in undergraduate mass balance explanations. In Society for Advancement of Biology Education Research Annual Meeting. Minneapolis, MN: SABER. (Original work published July 2022)
Jescovitch, L. N., Scott, E. E., Cerchiara, J. A., Doherty, J. H., Wenderoth, M. P., Merrill, J. E., et al. (2019). Deconstruction of Holistic Rubrics into Analytic Rubrics for Large-Scale Assessments of Students Reasoning of Complex Science Concepts. Practical Assessment, Research \& Evaluation, 24. http://doi.org/10.7275/9h7f-mp76 (Original work published September 2019)