APA (7th ed.) Citation

Jescovitch, L. N., Scott, E. E., Cerchiara, J. A., Merrill, J., Urban-Lurain, M., Doherty, J. H., & Haudek, K. C. (2021). 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, 30(2), 150-167. https://doi.org/10.1007/s10956-020-09858-0

Chicago Style (17th ed.) Citation

Jescovitch, Lauren N., Emily E. Scott, Jack A. Cerchiara, John Merrill, Mark Urban-Lurain, Jennifer H. Doherty, and Kevin C. Haudek. "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 30, no. 2 (2021): 150-167. https://doi.org/10.1007/s10956-020-09858-0.

MLA (9th ed.) Citation

Jescovitch, Lauren N., et al. "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, vol. 30, no. 2, 2021, pp. 150-167, https://doi.org/10.1007/s10956-020-09858-0.