Mapping the Knowledge Domain of Meta-Analysis Used in SLA Research: A Scientometric Review (2000-2022)

The study examined intellectual domains of meta-analysis used in SLA research based on Chinese core journals and English peer-reviewed from 2000 to 2022. Two datasets were created via CSSCI Web Science (WoS): 1) a dataset Linguistic educational comprising 50 articles, 2) WoS 167 articles published the reputed within registers Linguistics research. It employed document co-citation analysis (DCA) author (ACA) capture underlying structure characterize distinct clusters dataset. Co-word burst detection adopted discern trends, frontiers, hotspots displayed two datasets. Results show that focuses topics: L2 instruction, corrective feedback, computer-mediated communication, self-motivation, writing with papers about procedures or amendments as knowledge base. groups categorized under specific contexts demonstrate profound influence. Keywords captured can be mainly grouped into three types: subjects, topics, terminologies relevant meta-analysis. In contrast, topics terms related are dominant lexical chunks emerging spots, individual factors, language achievements, maps provide directions for future