Education Theory: Teaching and LearningOpen Access
Education Theory: Teaching and Learning (ETTL) is an international, peer-reviewed journal dedicated to publishing original, high-quality research across all areas related to education theory, teaching, and learning. The journal provides open-access content for a global readership, aiming to foster scientific research and academic exchange among scholars. ETTL focuses on advancing the development of educational theory and practice, highlighting innovative research from around the world, and promoting international collaboration and knowledge sharing.
ISSN: N/A (Print)
Frequency: Quarterly
ISSN: 2771-9030 (Online)
Website: https://doi.org/10.55571/ettl
Email: journal@4dpublishinggroup.com
Indexing and Abstracting: Google Scholar; CrossRef; ResearchBib; WorldCat; CiteFactor
Email: journal@4dpublishinggroup.com
Indexing and Abstracting: Google Scholar; CrossRef; ResearchBib; WorldCat; CiteFactor
The Integration of Computer Vision Technology and Chemistry Experiment: Identification of Acid and Base
DOI:https://doi.org/10.55571/ettl.2022.11002
Authors:Xu Xu
Affiliation:College of Urban and Environmental Sciences, Central China Normal University, Wuhan, Hubei, China
Information:Education Theory: Teaching and Learning. Feburary 2022 Vol.1, No.1, pp7-13
Authors:Xu Xu
Affiliation:College of Urban and Environmental Sciences, Central China Normal University, Wuhan, Hubei, China
Information:Education Theory: Teaching and Learning. Feburary 2022 Vol.1, No.1, pp7-13
Abstract:Promoting the deep integration of artificial intelligence and education actively can facilitate educational change and innovation. Computer vision technology is one of the important technical means of artificial intelligence. Through integrating computer vision technology and chemistry experiment in middle school and demonstrating the necessity, we propose a design of computer vision experiment. For this experiment, we use the open source hardware mPython 2.0, the small ark AI vision module and the graphical programming software mPython 0.5.4 to integrate with the “acid and base identification” experiment. And the AI experiment device can identify the color of the acid and base indicator to obtain the acid and base value which can compensate for the needs of students with color recognition impairment. In this experiment, visual programming software is used to learn for high school students because it is simple and practical.
Keywords:Computer vision; Chemistry experiments; Laboratory equipment
Cite This Article:Xu X. (2022). The Integration of Computer Vision Technology and Chemistry Experiment: Identification of Acid and Base. Education Theory: Teaching and Learning, Vol.1, No.1, pp 7-13
Keywords:Computer vision; Chemistry experiments; Laboratory equipment
Cite This Article:Xu X. (2022). The Integration of Computer Vision Technology and Chemistry Experiment: Identification of Acid and Base. Education Theory: Teaching and Learning, Vol.1, No.1, pp 7-13
