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Influencing Factors of Undergraduates Using App Learning Based on TAM Model – Taking MOOC App as an Example

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1282))

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Abstract

In recent years, more and more undergraduates begin to use app learning based on the TAM model. Among them, the emergence of MOOC is a good opportunity for educational reform. Because of the convenience, low cost, lifetime and pertinence, MOOC software played a great role in educational reform. This article reviews the related content of TAM model and learning efficiency, and builds MOOC learning behavior model of college students. Through the survey, a total of 255 valid questionnaires were collected. The relevant data were analyzed, and the model was hypothesized. Through the model conclusion, we find: The behavior of college students using MOOCs will be affected by behavioral intentions, and behavioral intentions will be affected by learning motivation, perceived usefulness, and attitudes. The attitude to use will be determined by college students’ perception of MOOC’s usefulness and perceived ease of use. Perceived ease of use is affected by cognitive load, and perceived usefulness is affected by learning effects and motivation.

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Correspondence to Lili Chen .

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Chen, L. (2021). Influencing Factors of Undergraduates Using App Learning Based on TAM Model – Taking MOOC App as an Example. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_73

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