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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
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Nabulsi, Leena; Nguyen, Amy; Odeleye, Oluwatobi – Journal of Science Education and Technology, 2021
Online homework systems have been shown to help student achievement in chemistry courses. This study sought to compare the levels of knowledge retention in students over the course of a semester, using two different types of homework systems--the adaptive-responsive system and the traditional-responsive system. Two sections of a first semester…
Descriptors: Homework, Computer Uses in Education, Knowledge Level, Retention (Psychology)
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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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Sung, Shannon H.; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Xie, Charles; Massicotte, Joyce; Shen, Ji – Journal of Science Education and Technology, 2021
In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…
Descriptors: Observation, Artificial Intelligence, Knowledge Representation, Grade 9
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Stenlund, Jörgen Ingemar; Schönborn, Konrad Janek; Tibell, Lena Anna Elisabet – Journal of Science Education and Technology, 2021
Central to evolution is the concept of a common ancestry from which all life has emerged over immense time scales, but learning and teaching temporal aspects of evolution remain challenging. This study investigated students' interpretation of evolutionary time when engaging with a multi-touch tabletop application called DeepTree, a dynamic…
Descriptors: Evolution, Time, Scientific Concepts, Computer Oriented Programs