Sustainability · 2020 · 244 citations · 24 references
E-learningEngineeringOnline ExperimentEducationOnline LearningCommunicationMedia TechnologyCovid-19Social MediaDigital HealthVariation Coefficient MethodPublic HealthContent AnalysisHealth EducationOnline Education PlatformsGlobal Health CrisisCovid-19 PandemicUser ExperienceUser EvaluationLearning AnalyticsHot Mining TechnologySocial ComputingOnline TeachingIndex ValuesSocial AccessHuman-computer InteractionOnline Education
During the COVID-19 pandemic, social education has shifted from face to face to online in order to avoid large gatherings and crowds for blocking the transmission of the virus. To analyze the impact of virus on user experience and deeply retrieve users’ requirements, this paper constructs a reasonable evaluation index system through obtaining user reviews about seven major online education platforms before and after the outbreak of COVID-19, and by combining the emotional analysis, hot mining technology, as well as relevant literature. At the same time, the variation coefficient method is chosen to weigh each index based on the difference of index values. Furthermore, this paper adopts the comprehensive evaluation method to analyze user experience before and after the outbreak of COVID-19, and finally finds out the change of users’ concerns regarding the online education platform. In terms of access speed, reliability, timely transmission technology of video information, course management, communication and interaction, and learning and technical support, this paper explores the supporting abilities and response levels of online education platforms during COVID-19, and puts forward corresponding measures to improve how these platforms function.
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