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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
Martinez, Brianna L.; Sweeder, Ryan D.; VandenPlas, Jessica R.; Herrington, Deborah G. – International Journal of STEM Education, 2021
Background: Engagement with particle-level simulations can help students visualize the motion and interactions of gas particles, thus helping them develop a more scientifically accurate mental model. Such engagement outside of class prior to formal instruction can help meet the needs of students from diverse backgrounds and provide instructors…
Descriptors: Chemistry, Scientific Concepts, Simulation, Visualization
Berg, Helen; Steinsbekk, Aslak – Advances in Health Sciences Education, 2021
This study aimed to investigate whether group self-practice of systematic clinical observation using the airway, breathing, circulation, disability and exposure (ABCDE) approach in a multiplayer, immersive, interactive virtual reality (VR) application provided a non-inferior learning outcome compared to practicing with physical equipment in…
Descriptors: Observation, Computer Simulation, Equipment, Medical Services
Cristofer G. Slotoroff – ProQuest LLC, 2021
One-to-one (1:1) student-to-laptop programs proliferate K-12 school settings in the United States and elsewhere, but it remains difficult to determine the extent to which these programs contribute to meaningful and positive change for students and teachers (Bebell & Kay, 2010; Bebell & O'Dwyer, 2010; Bleyer, 2017; Kposowa & Valdez,…
Descriptors: High School Students, Communication Skills, Interpersonal Competence, Laptop Computers
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
Iovannone, Rose; Fontechia, Krystal M.; Cassell, Elizabeth; Clarke, Shelley – Center on Positive Behavioral Interventions and Supports, 2022
This brief provides considerations for conducting and implementing functional behavior assessments (FBA) and behavior intervention plans (BIPs) using virtual technology. There are many situations in which virtual FBA/BIP implementation may be necessary or desired. For example, virtual FBA/BIPs can support students attending schools in areas that…
Descriptors: Functional Behavioral Assessment, Behavior Modification, Intervention, Educational Technology