On the Validity of Machine Learning-based Next Generation Science Assessments: A Validity Inferential Network

Relationships between Facial Expressions, Prior Knowledge, and Multiple Representations: a Case of Conceptual Change for Kinematics Instruction

(2020) Hongming Liaw et al.   Journal of Science Education and Technology

A Meta-Analysis of Machine Learning-Based Science Assessments: Factors Impacting Machine-Human Score Agreements

(2020) Xiaoming Zhai et al.   Journal of Science Education and Technology

A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates

(2019) James Large et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

Using Student Writing and Lexical Analysis to Reveal Student Thinking about the Role of Stop Codons in the Central Dogma

(2016) Luanna B. Prevost et al.   CBE-Life Sciences Education

The Impact of Misspelled Words on Automated Computer Scoring: A Case Study of Scientific Explanations

(2016) Minsu Ha et al.   Journal of Science Education and Technology

Automated analysis of short responses in an interactive synthetic tutoring system for introductory physics

(2016) Christopher M. Nakamura et al.   Physical Review Physics Education Research

Assessing Scientific Practices Using Machine-Learning Methods: How Closely Do They Match Clinical Interview Performance?

(2013) Elizabeth P. Beggrow et al.   Journal of Science Education and Technology

Transforming Biology Assessment with Machine Learning: Automated Scoring of Written Evolutionary Explanations

(2011) Ross H. Nehm et al.   Journal of Science Education and Technology