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Research on Continued Intention to Adopt E-Learning in Beijing University During Covid-19 Epidemic in China
2nd International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2022 ; 573 LNNS:562-572, 2023.
Article in English | Scopus | ID: covidwho-2173765
ABSTRACT
The study aims to apply the TAM model to investigate further about the opinions of students at Peking University on the e-learning platform provided by the university. The research validates the impact of the different variables on students' intention to continue using e-learning platforms during the Covid-19 epidemic, including perceived usefulness, perceived ease of use, perceived enjoyment, and perceived convenience. The research adopts a quantitative research method and measures the variables using a 5-level Likert scale. The designed questionnaires are distributed online to the targeted respondents through multiple social applications. The research collects 383 valid data and conducts a comprehensive data analysis by using SPSS analysis software. The research indicates that perceived usefulness, perceived ease of use, and perceived convenience all have a significant and positive impact on student's intention to continue using e-learning platforms. However, this research also confirms that perceived enjoyment has no significant effect on student's intention to continue using e-learning platforms. Therefore, this research validates the hypotheses proposed and achieves the research goals. Furthermore, the research provides useful information and recommendations for the government, education field, IT field and future research. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2022 Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2022 Year: 2023 Document Type: Article