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  • P-ISSN1013-0799
  • E-ISSN2586-2073
  • KCI

ISSN : 1013-0799

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Vol.41 No.3

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Keyword Network Analysis and Topic Modeling in an Information Literacy Study of Undergraduate Students

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2024, v.41 no.3, pp.249-268
https://doi.org/10.3743/KOSIM.2024.41.3.249
Da-Hyeon Lee (Sookmyung Women's University)
Donghee Shin (Sookmyung Women's University)
Lee, D., & Shin, D. (2024). Keyword Network Analysis and Topic Modeling in an Information Literacy Study of Undergraduate Students. Journal of the Korean Society for Information Management, 41(3), 249-268, https://doi.org/10.3743/KOSIM.2024.41.3.249

Abstract

Information literacy is a necessary competency for all people living in the information society, but undergraduate students are especially in need of information literacy in the process of academic performance and career preparation. In this study, we conducted frequency analysis, network analysis, and topic modeling on the English abstracts of information literacy-related research on undergraduate students listed in KCI to identify trends in information literacy research on undergraduate students. The main keywords and subsequent research topics were derived by analyzing the frequency analysis and keyword network and comparing the results, and eight subtopics were derived from the topic modeling to observe the main research areas. Information literacy for college students was mainly studied for educational purposes, and nursing information and analysis model development were the main subtopics.

keywords
information literacy, undergraduate student, text mining, frequency analysis, topic modeling, network analysis
Submission Date
2024-08-15
Revised Date
2024-08-26
Accepted Date
2024-09-13

Journal of the Korean Society for Information Management

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