AI在教育研究領域的應用系列（二）：Connected Papers與文獻探討

Applications of AI in Educational Research Series (II): Using Connected Papers for Literature Review

本文探討了生成式人工智慧（Generative AI）工具Connected Papers在教育研究領域的應用，旨在提升文獻綜述的效率與品質。文章首先詳細介紹Connected Papers的基本功能與操作方法，包括其獨特的文獻關係可視化功能。隨後，文章深入探討了Connected Papers在研究趨勢分析、關鍵文獻識別、研究缺口發現，以及合作者網絡分析等方面的高級應用。透過具體案例，本文展示了如何利用Connected Papers快速構建研究領域的知識圖譜，全面把握研究現狀。這種創新的文獻分析方法不僅提高了研究效率，還為教育研究者提供了更深入、全面的文獻分析視角。

This article explores the application of Connected Papers, a generative AI tool, in educational research to enhance the efficiency and quality of literature reviews. It begins with a detailed introduction to the basic functions and operational methods of Connected Papers, including its unique literature relationship visualization feature. The paper then delves into the advanced applications of Connected Papers in analyzing research trends, identifying key literature, discovering research gaps, and analyzing collaboration networks. Through specific examples, this article demonstrates how to quickly construct a knowledge map of a research field using Connected Papers, comprehensively grasping the current state of research. This innovative method of literature analysis not only improves research efficiency but also provides educational researchers with a more in-depth and comprehensive perspective on literature analysis.