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Edwin Chng – Journal of Science Education and Technology, 2024
With teachers continuing to report challenges in classroom management and difficulties in implementing scientific inquiry, the current manner in which science practical work is conducted in schools suggests the need for added teacher support. In this regard, we can leverage computer vision to provide instructional support by relieving teachers of…
Descriptors: Artificial Intelligence, Science Education, Computer Uses in Education, Science Teachers
Tingting Li; Kevin Haudek; Joseph Krajcik – Journal of Science Education and Technology, 2025
Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…
Descriptors: Artificial Intelligence, Scientific Concepts, Models, Automation
Shiroda, Megan; Uhl, Juli D.; Urban-Lurain, Mark; Haudek, Kevin C. – Journal of Science Education and Technology, 2022
Constructed response (CR) assessments allow students to demonstrate understanding of complex topics and provide teachers with deeper insight into student thinking. Computer scoring models (CSMs) remove the barrier of increased time and effort, making CR more accessible. As CSMs are commonly created using responses from research-intensive colleges…
Descriptors: Responses, Student Evaluation, Scoring, Models

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