AI在教育研究領域的應用系列（六）：AI文獻閱讀與分析工具之SciSpace應用實測

Applications of AI in Educational Research Series (VI): AI-driven Tool for Academic Literature Review and Analysis– SciSpace

隨著生成式人工智慧（Artificial Intelligence, AI）技術的迅速發展，學術研究者逐漸仰賴智能工具來提升文獻閱讀與分析的效率。SciSpace作為一款AI驅動的學術資源整合平台，透過簡化科學文獻的複雜性，顯著強化研究過程的進行，並提供文獻解析、內容標註、關鍵概念自動識別及論文針對性問答等功能，協助使用者更有效地理解與應用學術論文。本研究旨在透過實證測試評估SciSpace在學術研究中的應用潛力，聚焦於其核心功能的優勢與限制。研究結果顯示，SciSpace在提升研究者的文獻檢索與閱讀效率方面表現突出，特別是在跨領域研究、關鍵概念提取與智能摘要生成方面展現優勢。然而，其自動識別的準確性及學術表達能力仍有進一步優化的空間。本研究不僅為學術界提供SciSpace應用的實證分析，亦為未來AI輔助學術研究工具的發展提供參考方向。

With the rapid advancement of generative artificial intelligence technologies, researchers increasingly rely on intelligent tools to enhance the efficiency of literature reading and analysis. SciSpace, an AI-driven academic resource integration platform, simplifies the complexity of scientific literature, thereby optimizing the research process. It offers functions such as literature review, citation generation, find concepts and AI-driven Chat with PDF to help users better comprehend and apply academic papers. This study empirically evaluates the application potential of SciSpace in academic research, focusing on the advantages and limitations of its core functionalities. The findings indicate that SciSpace significantly enhances researchers’ efficiency in literature retrieval and reading, particularly in interdisciplinary research, key concept extraction, and AI-generated summaries. However, the accuracy of its automated recognition and academic expression capabilities still requires further refinement. This study provides empirical insights into SciSpace’s application in academia and serves as a reference for the future development of AI-assisted research tools.