A Meta-Analysis of Research on Using the QuillBot Application in English Language Learning
DOI:
https://doi.org/10.59759/educational.v4i3.1450Keywords:
Meta Analysis Study, QuillBot Application, English Language Learning.Abstract
This study aims to review the general trends and research focus on the use of the QuillBot application in English language learning. The study examines language skills and areas, research instruments, publication types, study designs, text lengths, participants, participants’ gender, the effectiveness of QuillBot, and publication years. A meta-analysis research design was employed to collect and analyze data. The study sample included 50 published studies between 2016 and 2024, comprising journal articles, theses/dissertations, and conference proceedings. The research instrument was a meta-analysis checklist, and descriptive statistics, including frequencies and percentages, were used to identify differences among the various features.
The findings indicated that the writing skill was the most frequently addressed in studies using QuillBot, while questionnaires were the most commonly used research instrument. Journal articles had the highest publication frequency, followed by theses/dissertations, and conference proceedings had the lowest. Qualitative research designs were the most prevalent, and texts ranging from 11–20 pages (5001–10000 words) were most common. Undergraduate students were the most frequently studied participants, whereas graduates were less studied. Groups with “15 or more” participants were the most frequent. Studies that did not specify participants’ gender were the most common. QuillBot was found to be more effective than traditional methods, and that the period 2021–2024 witnessed the highest number of publications. Additionally, the paraphraser function was the most frequently used activity within the QuillBot application.
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