Current Trends, Innovations, and Challenges in AI-Powered Language Teaching: A Systematic Literature Review

In this study, we successfully identified 808 articles from various databases: 623 from Scopus, 73 from Web of Science, and 112 from ProQuest, with no entries from the register. Before screening, 364 duplicate records were removed, along with 46 records deemed ineligible by the automation tool, leaving 398 records to proceed to the screening stage. During the screening stage, 260 records were excluded because they did not meet the inclusion criteria, leaving 138 reports for retrieval. Of these, 50 reports were not retrieved, reducing the number of reports assessed for eligibility to 88. Of the 88 reports assessed, 50 articles were excluded because the article title and abstract were irrelevant. In comparison, 260 reports were excluded because the substance of the article did not match the study criteria. This comprehensive review resulted in 88 new studies that were included in the final analysis. The selected articles were then reviewed by 2 independent reviewers and the results were used to calculate the kappa value.

在本项研究中，我们成功从多个数据库中识别出808篇文献：其中623篇来自Scopus数据库，73篇来自Web of Science数据库，以及112篇来自ProQuest数据库，注册登记中无相关条目。在筛选前，移除了364条重复记录以及46条经自动化工具判定为不符合条件的记录，从而剩余398条记录进入筛选阶段。在筛选阶段，有260条记录因不符合纳入标准而被排除，最终留下138篇报告进行检索。然而，其中50篇报告未能检索到，使得符合评估资格的报告数量减少至88篇。在评估的88篇报告中，有50篇文章因标题和摘要与本研究无关而被排除。相比之下，另有260篇报告因文章内容与研究标准不符而被排除。此次全面审查最终产生了88项新研究，这些研究被纳入最终分析。随后，所选文章由两位独立审稿人进行审查，并据此计算了Kappa值。