Study on the influencing factors of digital literacy among normal students under the background of big data

With the rapid development of educational informatization and digital education, normal major students need to have good digital literacy to meet the needs of the development of digital education. Digital literacy is one of the essential qualities of normal university students, and it is also the basis of their future teaching. Based on the framework of digital literacy, the research model of the influencing factors of digital literacy for normal university students is constructed. Structural equation model (SEM) and qualitative comparative analysis (fsQCA) method using SPSS22.0, and fsQCA3.0. The results of SEM analysis showed that motivation, perceived usefulness, attitude, curriculum setting, infrastructure, learning atmosphere, teacher level, incentive system, and evaluation mechanism have a significant positive impact on the digital literacy of normal university students. The fsQCA analysis identified three separate precursor configurations. The research results can provide a theoretical basis for improving the digital literacy of normal university students.

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Published
2024-08-16
DOI
https://doi.org/10.1145/3696500.3696520
Primary Topic
Scientific Research and Technology
Type
article
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Study on the influencing factors of digital literacy among normal students under the background of big data

Hang Yang, Rong Rong
Scientific Research and Technology
article

Study on the influencing factors of digital literacy among normal students under the background of big data

Hang Yang, Rong Rong
article en

Abstract

With the rapid development of educational informatization and digital education, normal major students need to have good digital literacy to meet the needs of the development of digital education. Digital literacy is one of the essential qualities of normal university students, and it is also the basis of their future teaching. Based on the framework of digital literacy, the research model of the influencing factors of digital literacy for normal university students is constructed. Structural equation model (SEM) and qualitative comparative analysis (fsQCA) method using SPSS22.0, and fsQCA3.0. The results of SEM analysis showed that motivation, perceived usefulness, attitude, curriculum setting, infrastructure, learning atmosphere, teacher level, incentive system, and evaluation mechanism have a significant positive impact on the digital literacy of normal university students. The fsQCA analysis identified three separate precursor configurations. The research results can provide a theoretical basis for improving the digital literacy of normal university students.

Zhaotong University (CN)
Quality Education
Openalex Percentile: Top 81%
Scientific Research and Technology
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