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研究生: 陳瑀瑄
Chen, Yu-Hsuan
論文名稱: ChatGPT在會計教育中的應用潛力與限制:以國立政治大學會計課程為例
The Potential and Limitations of ChatGPT in Accounting Education: Evidence from Accounting Courses at National Chengchi University
指導教授: 戚務君
Chi, Wu-Chun
口試委員: 張祐慈
Chang, Yu-Tzu
陳漢鐘
Chen, Han-Chung
學位類別: 碩士
Master
系所名稱: 商學院 - 會計學系
Department of Accounting
論文出版年: 2025
畢業學年度: 113
語文別: 中文
論文頁數: 51
中文關鍵詞: ChatGPT-4o人工智慧(AI)會計教育學習成效教學輔助工具
外文關鍵詞: ChatGPT-4o, Artificial Intelligence (AI), Accounting Education, Learning Outcomes, Instructional Support Tool
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  • 本研究評估ChatGPT-4o在會計教育中的應用潛力與限制,分析其於五門核心課程及模擬臺灣會計師考試的作答表現。結果顯示,ChatGPT在基礎課程表現優異,惟於進階課程與非選擇題中成績下滑。值得注意的是,審計學雖為高年級課程,其表現仍穩定,部分測驗甚至優於學生,顯示其在準則記憶與規則識別方面具優勢。整體而言,ChatGPT可輔助基礎教學,但目前仍難取代傳統會計教育。


    This study evaluates the potential and limitations of ChatGPT-4o in accounting education by analyzing its performance across five core university-level accounting courses and a simulated Taiwan CPA examination. The results indicate that ChatGPT performs well in introductory courses but shows a decline in accuracy in advanced subjects and non-multiple-choice questions. Notably, its performance in auditing—despite being an upper-level course—remained stable and, in some cases, exceeded that of students, suggesting a strength in standard recall and rule-based interpretation. Overall, while ChatGPT demonstrates promise as a supplementary tool in foundational accounting education, it currently lacks the capacity to replace traditional instruction in more complex professional contexts.

    第一章、緒論 1
    第一節、研究背景與動機 1
    第二節、研究問題 5
    第三節、論文架構及流程 7

    第二章、文獻探討 9
    第一節、前言 9
    第二節、GPT技術演進與ChatGPT應用發展 10
    一、GPT-1至GPT-3(2018年~2020年):語言模型發展 10
    二、ChatGPT-3.5(2022年):對話能力提升 11
    三、GPT-4(2023年):專業應用與推理能力提升 11
    四、ChatGPT-4o(2024年):多模態處理與互動性提升 11
    第三節、ChatGPT在認證考試與比賽中的表現 13
    一、在財務與法律測驗的表現 13
    二、在醫學測驗的表現 13
    三、在程式設計競賽的表現 14
    第四節、生成式AI對會計領域的影響 15
    一、AI在會計教育中的應用 15
    二、AI在會計職場的應用 16

    第三章、研究方法 19

    第四章、研究結果 22
    第一節、ChatGPT在各科目之表現 22
    第二節、ChatGPT在不同考題類型之表現 29
    第三節、ChatGPT在臺灣會計師考試之表現 32
    第四節、ChatGPT之錯誤分析 35
    第五節、ChatGPT解題能力之改善 40
    第六節、小結 42

    第五章、結論與建議 44

    參考文獻 48

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