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

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.