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研究生: 林柏陞
Lin, Po-Sheng
論文名稱: 英文寫作中的人工智能:四種大型語言模型驅動寫作工具與Grammarly的語法錯誤更正性能和反饋提供的比較分析
Artificial Intelligence in English Writing: A Comparative Analysis of Error Correction Performance and Feedback Provision Across Four LLM-Powered Writing Tools and Grammarly
指導教授: 陳浩然
Chen, Hao-Jan
口試委員: 陳浩然
Chen, Hao-Jan
王宏均
Wang, Hung-Chun
賴淑麗
Lai, Shu-Li
口試日期: 2024/06/14
學位類別: 碩士
Master
系所名稱: 英語學系
Department of English
論文出版年: 2024
畢業學年度: 112
語文別: 英文
論文頁數: 134
中文關鍵詞: 大型語言驅動模型ChatGPTGeminiClaude 3常見文法錯誤文法解釋
英文關鍵詞: Large Language Models, ChatGPT, Gemini, Claude 3, grammatical error, grammatical error explanation
DOI URL: http://doi.org/10.6345/NTNU202401552
論文種類: 學術論文
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  • ACKNOWLEDGEMENTS i 摘要 ii ABSTRACT iii TABLE OF CONTENTS iv LIST OF TABLES vi LIST OF FIGURES vii CHAPTER ONE INTRODUCTION 1 1.1 Background 1 1.2 Purpose of the Study 9 1.3 Research Questions 10 1.4 Significance of the Study 11 1.5 Organization of the Thesis 13 CHAPTER TWO LITERATURE REVIEW 14 2.1 Evolution of Large Language Models 14 2.2 The Four LLM-powered Writing Tools and Grammarly 17 2.3 Strengths of Using LLM-powered Writing Tools in the Classroom 25 2.4 Weaknesses of Using LLM-powered Writing Tools in the Classroom 31 CHAPTER THREE METHODOLOGY 35 3.1 The Dataset 37 3.2 Four LLM-powered Writing Tools and Grammarly for Evaluation 41 3.2.1 ChatGPT-3.5 41 3.2.2 ChatGPT-4 43 3.2.3 Gemini 45 3.2.4 Claude 3 47 3.2.5 Grammarly Premium 49 3.3 Testing of four LLM-powered writing tools and Grammarly Premium 51 3.4 Data Analysis Procedure 53 CHAPTER FOUR RESULTS 66 4.1 Overall Accuracy Rate of Each Tool 66 4.2 Inaccurate Corrections 67 4.3 False Alarms 68 4.4 Error Detection Performance on Different Error Types 71 4.5 Detailed Explanations 81 CHAPTER FIVE DISCUSSION 86 5.1 Summary of Findings 86 5.2 Discussion on Research Findings 88 5.2.1 Overall Performance 88 5.2.2 Error Types that the Five Tools Can and Cannot Identify 91 5.2.3 Detailed Explanation Provided by the Four LLM-powered Writing Tools 94 5.3 Pedagogical Implications 102 5.4 Limitations of the Study 105 References 107 Appendix A The Dataset 120 Appendix B Detailed Explanations 129

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