Practices and Theories: How Can Machine Learning Assist in Innovative Assessment Practices in Science Education

Machine Learning-Enabled Automated Feedback: Supporting Students’ Revision of Scientific Arguments Based on Data Drawn from Simulation

(2021) Hee-Sun Lee et al.   Journal of Science Education and Technology

Testing the Impact of Novel Assessment Sources and Machine Learning Methods on Predictive Outcome Modeling in Undergraduate Biology

(2021) Roberto Bertolini et al.   Journal of Science Education and Technology

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

(2021) Xiaoming Zhai et al.   Journal of Science Education and Technology

Using Machine Learning to Score Multi-Dimensional Assessments of Chemistry and Physics

(2021) Sarah Maestrales 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

Podcasts on Mobile Devices as a Read-Aloud Testing Accommodation in Middle School Science Assessment

(2015) Don McMahon et al.   Journal of Science Education and Technology

ARBOOK: Development and Assessment of a Tool Based on Augmented Reality for Anatomy

(2014) J. Ferrer-Torregrosa et al.   Journal of Science Education and Technology

Using Drawing Technology to Assess Students’ Visualizations of Chemical Reaction Processes

(2013) Hsin-Yi Chang et al.   Journal of Science Education and Technology

Design Patterns for Learning and Assessment: Facilitating the Introduction of a Complex Simulation-Based Learning Environment into a Community of Instructors

(2009) Dennis C. Frezzo et al.   Journal of Science Education and Technology

Technology-Enhanced Formative Assessment: A Research-Based Pedagogy for Teaching Science with Classroom Response Technology

(2009) Ian D. Beatty et al.   Journal of Science Education and Technology