科技農業：氣候變遷的群眾議題熱蒐及法規調適【圖書資訊學研究所/湯凱喻 副教授】
| 論文篇名 | 英文：Roles and research trends of ChatGPT-based learning: A bibliometric analysis and systematic review 中文：ChatGPT為基礎的學習的所扮演角色及研究趨勢：文獻計量分析和系統性回顧 |
| 期刊名稱 | Educational Technology & Society |
| 發表年份,卷數,起迄頁數 | 2024, 27(4), 481-496. |
| 作者 | Chang, Ching-Yi; Chen, I-Hui; Tang, Kai-Yu(湯凱喻)* |
| DOI | 10.30191/ETS.202410_27(4).TP03 |
| 中文摘要 | 本研究透過文獻計量分析的系統性回顧，分析了基於 ChatGPT 的學習研究的趨勢。根據 PRISMA 指南，透過檢索多個信譽良好的來源（即 Embase、Scopus、PubMed、CINAHL 和 WoS）來確定相關文章，總共納入了 50 篇符合選擇標準的實證文章。結果是雙重的：（1）確定了研究的文獻計量屬性。首先，我們發現來自中國、美國、澳洲和沙烏地阿拉伯的作者是該領域最多產的貢獻者。其次，超過 64% 的分析研究發表在教育科技期刊（例如 EIT、AJET、ILE）。 (2) 系統性回顧確定了研究的關鍵學習特徵。大多數研究集中在非特定學習上，而 ChatGPT 使用中與英語學習相關的主題是第二個最常研究的主題。第三個最常研究的主題與STEAM課程相關，其中大多數研究採用基於ChatGPT的輔助學習作為課程的教學設計。基於 ChatGPT 的學習在教育中的作用涉及領域專家、教師/導師、管理員和學習工具。從研究的教育背景來看，參與者主要來自高等教育機構，包括本科生和研究生。根據結果，我們得出結論，基於 ChatGPT 的教育學習研究仍處於早期階段，針對有效教學設計和學習策略的實證研究有限。 |
| 英文摘要 | This study analyzed the trends in ChatGPT-based learning research through a systematic review with bibliometric analysis. Based on the PRISMA guidelines, relevant articles were identified by searching several reputable sources (i.e., Embase, Scopus, PubMed, CINAHL, and WoS), and a total of 50 empirical articles that met the selection criteria were included. The results are twofold: (1) Bibliometric attributes of the research were identified. First, we found that authors from China, the United States, Australia, and Saudi Arabia are the most productive contributors to the field. Second, over 64% of the analyzed research was published in educational technology journals (e.g., EIT, AJET, ILE). (2) The systematic review identified key learning features of the research. Most research focused on non-specific learning, and subjects related to English learning in ChatGPT use were the second most frequently researched topic. The third most frequently researched subject is related to STEAM courses, in which most research employed ChatGPT-based assistant learning as an instructional design in the course. The role of ChatGPT-based learning in education involves domain experts, teachers/tutors, administrators, and learning tools. Regarding the educational context of the research, the participants were mainly in higher education settings, including undergraduate and graduate students. Based on the results, we concluded that research on ChatGPT-based learning in education is still in its early stages, with limited empirical studies addressing effective instructional design and learning strategies. |
| 發表成果與本中心研究主題相關性 |
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