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題名 AI在教育研究領域的應用系列(十三):AI輔助系統性文獻回顧與Rayyan應用
Applications of AI in Educational Research Series (XIII): AI-Assisted Systematic Literature Review and Rayyan Application
作者 吳政達;張瓊文
貢獻者 教政所
關鍵詞 人工智慧(AI); 人機協作式機器學習; 系統性文獻回顧
Rayyan; artificial intelligence (AI); human-in-the-loop machine learning; systematic review
日期 2025-11
上傳時間 30-Jan-2026 11:06:54 (UTC+8)
摘要 隨著文獻數量快速增長,傳統手動執行系統性文獻回顧日益困難且耗時。本研究旨在深入探討AI於系統性文獻回顧中的整合應用,並聚焦在專為系統性回顧開發的AI輔助工具Rayyan之功能示範。研究採用實際操作方式,以transformational leadership為檢索關鍵詞,從多個資料庫匯入文獻,完整展示Rayyan操作流程,包括專案建立、文獻去重處理、協作機制、AI輔助篩選、全文評估及PRISMA流程圖產出等功能。本研究認為,透過合適的人機協作模式,AI工具能提高系統性文獻回顧的研究效率,且不失學術嚴謹性,期望為有興趣利用AI工具進行系統性文獻回顧的研究者提供具體的應用實務參考。
With the rapid growth in the volume of academic literature, the traditional manual execution of systematic literature reviews has become increasingly difficult and time-consuming. This study aims to explore the integrated application of artificial intelligence (AI) in systematic reviews, with a particular focus on a functional demonstration of Rayyan, an AI-assisted tool specifically developed for systematic review tasks. Employing a hands-on operational approach, the study uses “transformational leadership” as the search keyword to import literature from multiple databases, comprehensively showcasing Rayyan’s operational workflow, including review creation, duplicate removal, collaborative screening, AI-assisted filtering, full-text evaluation, and the generation of PRISMA flow diagrams. This study contends that, through well-designed Human-in-the-Loop Machine Learning (HITL-ML) frameworks, AI tools can enhance the efficiency of systematic reviews while maintaining academic rigor. The findings aim to provide evidence-based practical guidelines and implementation strategies for researchers interested in utilizing AI tools to conduct systematic reviews.
關聯 教育研究月刊, No.379, pp.126-147
資料類型 article
DOI https://dx.doi.org/10.53106/168063602025110379008
dc.contributor 教政所
dc.creator (作者) 吳政達;張瓊文
dc.date (日期) 2025-11
dc.date.accessioned 30-Jan-2026 11:06:54 (UTC+8)-
dc.date.available 30-Jan-2026 11:06:54 (UTC+8)-
dc.date.issued (上傳時間) 30-Jan-2026 11:06:54 (UTC+8)-
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=180862-
dc.description.abstract (摘要) 隨著文獻數量快速增長,傳統手動執行系統性文獻回顧日益困難且耗時。本研究旨在深入探討AI於系統性文獻回顧中的整合應用,並聚焦在專為系統性回顧開發的AI輔助工具Rayyan之功能示範。研究採用實際操作方式,以transformational leadership為檢索關鍵詞,從多個資料庫匯入文獻,完整展示Rayyan操作流程,包括專案建立、文獻去重處理、協作機制、AI輔助篩選、全文評估及PRISMA流程圖產出等功能。本研究認為,透過合適的人機協作模式,AI工具能提高系統性文獻回顧的研究效率,且不失學術嚴謹性,期望為有興趣利用AI工具進行系統性文獻回顧的研究者提供具體的應用實務參考。
dc.description.abstract (摘要) With the rapid growth in the volume of academic literature, the traditional manual execution of systematic literature reviews has become increasingly difficult and time-consuming. This study aims to explore the integrated application of artificial intelligence (AI) in systematic reviews, with a particular focus on a functional demonstration of Rayyan, an AI-assisted tool specifically developed for systematic review tasks. Employing a hands-on operational approach, the study uses “transformational leadership” as the search keyword to import literature from multiple databases, comprehensively showcasing Rayyan’s operational workflow, including review creation, duplicate removal, collaborative screening, AI-assisted filtering, full-text evaluation, and the generation of PRISMA flow diagrams. This study contends that, through well-designed Human-in-the-Loop Machine Learning (HITL-ML) frameworks, AI tools can enhance the efficiency of systematic reviews while maintaining academic rigor. The findings aim to provide evidence-based practical guidelines and implementation strategies for researchers interested in utilizing AI tools to conduct systematic reviews.
dc.format.extent 113 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) 教育研究月刊, No.379, pp.126-147
dc.subject (關鍵詞) 人工智慧(AI); 人機協作式機器學習; 系統性文獻回顧
dc.subject (關鍵詞) Rayyan; artificial intelligence (AI); human-in-the-loop machine learning; systematic review
dc.title (題名) AI在教育研究領域的應用系列(十三):AI輔助系統性文獻回顧與Rayyan應用
dc.title (題名) Applications of AI in Educational Research Series (XIII): AI-Assisted Systematic Literature Review and Rayyan Application
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.53106/168063602025110379008
dc.doi.uri (DOI) https://dx.doi.org/10.53106/168063602025110379008