Publications by Lauren N. Jescovitch
(2019). Challenges in Developing Computerized Scoring Models for Principle-Based Reasoning in a Physiology Context. In NARST. Baltimore, MD.
. (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.
. (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)
. (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)
. (2018). Predicting mental models of undergraduate thinking in STEM courses using computerized analysis [Poster]. In STEM Alliance. Michigan State University.
. (2018). Rubrics for student writing: Research tools to uncover trends in student thinking [Poster]. In STEM Alliance. Michigan State University.
. (2018). Web-based system to support instructors' understanding of student thinking on key STEM concepts [Poster]. In STEM Alliance. Michigan State University.
. (2023). What a Difference in Pressure Makes! A Framework Describing Undergraduate Students’ Reasoning about Bulk Flow Down Pressure Gradients. Cbe—Life Sciences Education, 22, ar23. http://doi.org/10.1187/cbe.20-01-0003
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