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Filters: Author is Lauren N. Jescovitch [Clear All Filters]
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. presented at the 09/2020. doi:10.1007/s10956-020-09858-0. (2020).
Challenges in Developing Computerized Scoring Models for Principle-Based Reasoning in a Physiology Context. In NARST Annual Conference. presented at the 04/2019, Baltimore, MD: NARST.. (2019).
Deconstruction of Holistic Rubrics into Analytic Rubrics for Large-Scale Assessments of Students’ Reasoning of Complex Science Concepts. Practical Assessment, Research & Evaluation, 24(7). presented at the 09/2019. doi:10.7275/9h7f-mp76. (2019).