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 09/2020AD)
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 07/2022AD)
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 09/2019AD)