Research on Information Literacy Education Model in the Big Data Environment - A Case Study of six Hainan high school Libraries

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Abstract

Under the overwhealing trend of big data, information literacy is gradually embedded in various applications with broader contents. Due to the new concepts and new technologies, the contents and methods of information literacy education have also changed. In order to further study the mode of information literacy education under the environment of big data, this paper takes six Hainan high school libraries as an example to investigate the students' understanding level of information literacy education - their perception of the role of information literacy education and their satisfaction with information literacy education. In term of students' knowledge, 28.25% of students have never heard literacy education, 37.28% have heard but are not sure of the details, and 34.47% know about information literacy education. In terms of students' perceptions of the role of education, 48.27% thought that information literacy education was important, 48.15% thought that information literacy education was neutral, and 3.58% thought that information literacy education in libraries was not useful at all. In terms of satisfaction, students who are very satisfied, satisfied, and not satisfied with information literacy education is 33.33%, 52.12%, and 14.55% respectively. Our result showed that information literacy education in college libraries still lacks publicity, and developed mulitiple teaching model to attract student attention is necessary. Therefore, we purposed that information literacy education in college libraries should develop diversified publicity based on various media, particular follow the new characteristics of college students' information acquisition behavior, and expand the scope of information literacy education.

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APA

Wang, X., & Ye, H. (2024). Research on Information Literacy Education Model in the Big Data Environment - A Case Study of six Hainan high school Libraries. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns.2023.1.00348

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