AI在教育研究領域的應用系列（八）：DeepSeek於文獻綜述與資料分析之應用實測

Applications of AI in Educational Research Series (VIII): Practical Use of DeepSeek for Literature Review and Data Analysis

本研究旨在探討DeepSeek工具於文獻綜述與分析中的實際應用效益。隨著人工智慧技術快速發展，協助研究者提升文獻整理效率的工具日益多元，DeepSeek作為新興的語意型搜尋與文本整理平台，其自動化與語義分析功能已引起學術界關注。本研究透過實際操作DeepSeek進行特定主題的文獻蒐集與歸類，分析其在資訊擷取準確性、文本品質與研究流程效率上的表現。研究結果指出，DeepSeek在節省時間與提供初步文獻架構方面具有明顯優勢，惟在深層概念統整與主題敏感度上仍具改進空間。綜合分析結果，本文建議可將DeepSeek作為輔助工具，融入初期文獻蒐集與整合階段，以提升研究者在研究初探與綜述撰寫之工作效能。

This study aims to explore the practical effectiveness of DeepSeek in conducting literature reviews and analyses. With the rapid advancement of AI-related technologies, tools designed to enhance the efficiency of literature organization have become increasingly diverse. DeepSeek, as an emerging semantic-based search and text analysis platform, has garnered attention for its automation and semantic interpretation capabilities. This research applys DeepSeek to collect and categorize literature on a specific topic, and evaluates its performance in terms of information retrieval accuracy, summary quality, and research process efficiency. Comparative analysis with traditional manual methods reveals that DeepSeek offers significant advantages in time-saving and preliminary structural organization. However, it still requires improvement in conceptual integration and topic sensitivity. Based on the findings, this paper suggests integrating DeepSeek as a supplementary tool during the early stages of literature collection and synthesis to enhance research productivity and support scholarly writing.