Thursday, October 6
11:30-11:45 AM
EDT
Room 5

Co-word Clustering and Latent Semantic Exploration of the Full Texts of TPACK Research Papers

Live Paper Presentation ID: 61604
  1. aaa
    Takahisa Furuta
    Gunma University
  2. aaa
    Gerald Knezek
    University of North Texas

Abstract: In this paper, we conducted co-word clustering and latent semantic explorations on the full texts of TPACK research papers to assess their characteristics. Soler-Costa et al. (2021) conducted bibliometric analyses on the keywords of TPACK research papers and identified how the research themes evolved since 2006 until 2019. We performed full text analyses with hierarchical clustering analyses and Word2Vec on the same time period and identified word clusters that corresponded to the concepts and methodologies in TPACK research literature. We compared the word clusters obtained from most frequently cited 100 TPACK research papers with all the downloaded papers and found distinctive features of the most frequently cited papers, such as that they are associated with their educational views such as constructionism. Findings imply that the methodology utilized for this paper can continue to provide new perspectives on how to view topics with a large body of published literature, such as TPACK.

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