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| Title: | 人工智慧運用於歷史教學及研究之使用意見探討
Exploring User Perceptions of Artificial Intelligence Applications in History Education and Research |
| Authors: | 許旻鈴
Hsu, Min-Ling |
| Contributors: | 林巧敏
Lin, Chiao-Min
許旻鈴
Hsu, Min-Ling |
| Keywords: | 人工智慧
歷史研究
歷史教學
文本分析
情感分析
Artificial intelligence
Historical research
History education
Text analysis
Sentiment analysis |
| Date: | 2025 |
| Issue Date: | 2025-08-04 14:04:09 (UTC+8) |
| Abstract: | 近年因科技進步、數位浪潮襲來，尤其人工智慧的出現，大幅改變民眾生活的同時，亦使得學者於研究過程中採取之研究方法及使用工具的轉變，令研究過程更為便利、研究產出更有效率，並出現跨領域研究之情形。在教學方面更是引入全新的教學方式，如：AI教學助理、角色對話等。關於人工智慧對教學與研究之影響，於此其中即包含歷史學領域。然因人工智慧工具汲取資料的方式及背後道德倫理等因素，相較於歷史學領域講求真實、客觀、嚴謹等，致使目前於歷史學領域使用人工智慧工具產生正、反兩面論點。
因此，本研究透過蒐集歷史學相關網路社群網站中與本議題相關之文本進行文本分析，並訪談曾於教學及研究過程中使用人工智慧之歷史學者與歷史教師，旨在瞭解國內對人工智慧運用於歷史教學及研究此一議題的觀點，與經常被探討的主題內容和情感傾向，以及人工智慧運用於歷史教學和研究之優勢與限制等，進而提出人工智慧應用於教學與研究相關建議，作為後續發展之參考。
研究結果顯示，社群網站中，關於人工智慧運用於歷史教學及研究，經常被討論議題為「歷史學對於AI的應對」、「AI的跨域應用」、「歷史實踐與數位轉型的交會」、「AI對歷史研究的影響」、「歷史教學技術實驗與創新」與「數位人文研究工具與資料平台建構」。透過情感分析可見，網路文本情感傾向整體呈現「非常正面」，然將此結果與訪談結果比對後，顯示其與實際情形存在一定落差。關於訪談結果顯示，目前國內歷史研究與教學多將人工智慧工具應用於前期準備階段，儘管有助於提升效率，但仍伴隨若干使用限制與挑戰，並對歷史教育與學術環境帶來一定程度的衝擊與轉變。
根據文本分析與訪談結果，本研究提出以下建議供相關領域參考：歷史學者與歷史教師應因應學術環境變遷，調整教學與研究策略，並持續培養創造力與洞察力；典藏文史資料機構應加速推動文獻與史料數位化進程，提升人工智慧工具之應用潛力；學術團體應建立人工智慧相關的學術倫理規範，並與資工專業領域合作，開發更符合歷史學需求之AI應用工具；政府應提供妥善的培訓與應用資源，以縮減城鄉差距，並制定AI融入歷史教學相關規範與政策。
In recent years, advancements in technology and the rise of the digital era—particularly the emergence of artificial intelligence (AI)—have significantly transformed everyday life. At the same time, they have also reshaped the methodologies and tools adopted by scholars in their research processes, making research more convenient and efficient, and fostering the growth of interdisciplinary studies. In the realm of education, innovative teaching methods such as AI teaching assistants and role-based dialogue systems have been introduced. The influence of AI on both teaching and research has extended into the field of history. However, due to the ways AI systems retrieve data and the ethical concerns underpinning them, tensions have emerged when juxtaposed with the historical discipline’s emphasis on authenticity, objectivity, and rigor. Consequently, the integration of AI in historical scholarship has elicited both supportive and critical perspectives.
This study collects and analyzes textual data related to this topic from online platforms and communities focused on history, and conducts interviews with historians and history educators who have incorporated AI tools into their research and teaching. The goal is to understand domestic perspectives on the application of AI in historical teaching and research, to identify frequently discussed themes and emotional tendencies in public discourse, and to examine both the advantages and limitations of AI in these contexts. Based on these findings, the study offers recommendations for the application of AI in historical teaching and research as a reference for future development.
The results show that on social media, commonly discussed topics regarding the application of AI in historical teaching and research include: “Historians’ responses to AI,” “Interdisciplinary applications of AI,” “The intersection of historical practice and digital transformation,” “The impact of AI on historical research,” “Technological innovation in history education,” and “The development of digital humanities tools and data platforms.” Sentiment analysis indicates an overall “highly positive” attitude toward these topics in online discourse. However, a comparison with interview findings reveals a noticeable discrepancy between public sentiment and practical experiences. Interview results suggest that AI tools in the domestic context are primarily used in the preparatory stages of historical research and teaching. While these tools enhance efficiency, they also present limitations and challenges that bring about significant shifts in historical education and the academic environment.
Based on textual and interview analyses, this study makes the following recommendations: Historians and history educators should adapt their teaching and research strategies in response to changes in the academic environment, and continue to cultivate creativity and critical insight. Institutions responsible for the preservation of historical documents should accelerate the digitization of records to enhance the applicability of AI tools. Academic communities should establish ethical guidelines for the use of AI and collaborate with computer science experts to develop AI tools that better align with the needs of historical research. Finally, government agencies should provide appropriate training and resources to reduce the urban-rural divide, and develop relevant policies and standards to guide the integration of AI into history education. |
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| Description: | 碩士
國立政治大學
圖書資訊與檔案學研究所
112155023 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0112155023 |
| Data Type: | thesis |
| Appears in Collections: | [圖書資訊與檔案學研究所] 學位論文
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