Education Theory: Teaching and LearningOpen Access

Education Theory: Teaching and Learning[ETTL] is an international peer-reviewed journal that publishes original and high-quality research papers in all related areas. All papers published will be open access to all readers. To build a platform for scientific research and academic exchange for scholars, focusing on the development and research, introducing worldwide research, theory and practice, and promoting international exchanges.

ISSN: N/A (Print)
Frequency: Bimonthly
ISSN: 2771-9030 (Online)
Website: https://doi.org/10.55571/ettl
Email: journal@4dpublishinggroup.com /ettl@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
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