A Bibliometric Analysis of English Reading Assessment from 2019 To 2023
Keywords:
Assessment; Bibiometrict Analysis; English; Reading; English Reading AssessmentAbstract
The aim of this research is to provide an extensive literature review on English reading assessment. Articles were retrieved using the Publish or Perish software and the Scopus database, with journal quality verified through ScimagoJR.com (Q1–Q4 classifications). A total of 184 articles published between 2019 and 2023 were analyzed. References were organized and summarized using Mendeley, while article classification was conducted using VOSviewer software. Six clusters were identified: Cluster 1 consisted of seven keywords (English, factor, grade, impact, influence, language, and student); Cluster 2 included six keywords (assessment, development, patient, quality, readability, and use); Cluster 3 comprised four keywords (ability, child, focus, and reading); Cluster 4 included four keywords (comprehension, computer, dynamic assessment, and second language); Cluster 5 consisted of three keywords (accuracy, comparison, and review); and Cluster 6 comprised four keywords (artificial, intelligence, meta-analysis, and systematic review).
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