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Chemistry on the Cloud: From Wet Labs to Web Labs

Charles Xie, Chenglu Li, Xiaotong Ding, Rundong Jiang, Shannon Sung

2021Journal of Chemical Education24 citationsDOI

Abstract

Digital sensors allow people to collect a large quantity of data in chemistry experiments. Using infrared thermography as an example, we show that this kind of data, in conjunction with videos that stream the chemical phenomena under observation from a vantage point, can be used to construct digital twins of experiments to support science education on the cloud in a visual and interactive fashion. Through digital twins, a significant part of laboratory experiences such as observation, analysis, and discussion can be delivered on a large scale. Thus, the technology can potentially broaden participation in experimental chemistry, especially for students and teachers in underserved communities who may lack the expertise, equipment, and supplies needed to conduct certain experiments. With a cloud platform that enables anyone to store, process, and disseminate experimental data via digital twins, our work also serves as an example to illuminate how the movement of open science, which is largely driven by data sharing, may be powered by technology to amplify its impacts on chemistry education.

Topics & Concepts

Cloud computingConstruct (python library)Computer scienceProcess (computing)Chemistry educationScience educationData scienceChemistryMultimediaMathematics educationPhysicsQuality (philosophy)Programming languageOperating systemQuantum mechanicsMathematicsDigital Transformation in IndustryConferences and Exhibitions ManagementVirtual Reality Applications and Impacts
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