Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings

Research Article

Factors Affecting Students’ Flow Experience of E-Learning System in Higher Vocational Education Using UTAUT and Structural Equation Modeling Approaches

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  • @INPROCEEDINGS{10.1007/978-3-030-69066-3_32,
        author={Yunyi Zhang and Ling Zhang and Ying Wu and Liming Feng and Baoliang Liu and Guoxin Han and Jun Du and Tao Yu},
        title={Factors Affecting Students’ Flow Experience of E-Learning System in Higher Vocational Education Using UTAUT and Structural Equation Modeling Approaches},
        proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings},
        proceedings_a={AICON},
        year={2021},
        month={7},
        keywords={UTAUT Flow experience Higher vocational students E-learning Behavioral intention},
        doi={10.1007/978-3-030-69066-3_32}
    }
    
  • Yunyi Zhang
    Ling Zhang
    Ying Wu
    Liming Feng
    Baoliang Liu
    Guoxin Han
    Jun Du
    Tao Yu
    Year: 2021
    Factors Affecting Students’ Flow Experience of E-Learning System in Higher Vocational Education Using UTAUT and Structural Equation Modeling Approaches
    AICON
    Springer
    DOI: 10.1007/978-3-030-69066-3_32
Yunyi Zhang, Ling Zhang1, Ying Wu, Liming Feng, Baoliang Liu, Guoxin Han, Jun Du, Tao Yu
  • 1: City College of Huizhou

Abstract

Higher vocational education has adopted the e-learning system, and scholars have achieved a lot of results in e-learning. However, how to introduce flow ex-perience theory, extract the behavioral intention characteristics of higher vocational students, and how to integrate job requirements and skill certificates into e-learning Design and application need to be discussed in depth. We propose a UTAUT model that combines flow experience, exploring the use of behavior intention as a mediator and flow experience as the target variable. More than 7000 students from City College of Huizhou participated in the questionnaire. The Structural Equation Modeling (SEM) SmartPLS3 software was used to investigate their flow experience to use the e-learning system. The results show that perceived usefulness and facilitating conditions have an important influence on their flow experience and behavioral intentions, both have a partial mediating effect on flow experience through behavioral intention. The e-learning system of higher vocational education should promote the flow experience level of students, and strengthen the elements of employment positions and skills certificates. Suggestion: The e-learning system of higher vocational education should promote the flow experience level of students, and strengthen the elements of employment positions and skills certificates. The model of intention to use e-learning systems for senior students is innovative and effective in practice.