本研究透過書目計量分析法（Bibliometrics），利用 VOSviewer 軟體對 2015年至2024年間收錄於 Scopus 學術資料庫的共 1,038 篇 AI 與教育領域相關文獻進行資料可視化分析，目的為揭示 AI 教育領域的研究熱點、主題演變以及發展趨勢。研究發現，此領域的研究熱點已由底層技術轉向生成式 AI 與個人化應用，並朝自動化與多模態教學技術發展。分析指出學術合作網絡逐步成形，核心學者與高頻關鍵詞顯示生成式 AI 在教學應用中正受高度關注。建議未來應重視教育公平、教師角色協調及多模態教學實證研究，並拓展語言與方法面向，深化質化驗證，以回應快速變動的 AI 教育場域。此研究提供了該領域未來研究與政策規劃的重要參考依據。

This study adopts bibliometric analysis and utilizes VOSviewer software to conduct a visualized analysis of 1,038 AI and education-related publications indexed in the Scopus academic database from 2015 to 2024. The aim is to reveal the research hotspots, thematic evolution, and development trends in the field of AI in education. The findings indicate that the research focus in this domain has shifted from foundational technologies to generative AI and personalized applications, progressing toward automation and multimodal teaching technologies. The analysis also shows that academic collaboration networks are gradually taking shape, with core scholars and high-frequency keywords reflecting the growing attention to generative AI in educational applications. It is recommended that future efforts emphasize educational equity, role coordination between teachers and AI systems, and empirical studies on multimodal teaching. Furthermore, expanding the scope of languages and methodologies, and deepening qualitative validation are essential to address the rapidly evolving AI educational landscape. This study offers valuable references for future research and policy planning in this field.

謝誌	i
目次	iv
表次	vi
圖次	vii
第一章	緒論	1
第一節　研究背景與研究動機	1
第二節　研究目的	4
第三節　研究問題	5
第四節　研究範圍與限制	5
第五節　名詞解釋	10
第二章	文獻探討	14
第一節　人工智能技術在教育領域的應用發展	14
第二節　人工智能技術在教育中的研究熱點	16
第三節　文獻探討的現況與未來研究方向	21
第四節　AI 教育的跨領域應用與挑戰	22
第五節　生成式 AI 對教育評量與教材設計的影響	24
第六節　VOSviewer 在 AI 研究中的應用與分析潛力	26
第三章	研究方法與實施	28
第一節　研究結構	28
第二節　資料蒐集與篩選	33
第三節　資料分析方法	35
第四節　研究工具及其應用	37
第四章	研究結果與闡述分析	39
第一節	關鍵字共現分析	39
第二節	文獻共被引分析	47
第三節	作者共被引分析	52
第四節	共同作者分析	57
第五節	主題演化分析	62
第五章	研究結論與建議	66
第一節	結論	66
第二節	建議	69
第三節	後續研究與建議	69
參考文獻	71

表次
表 2-1-1 人工智能輔助學習系統發展歷史		17  
表 2-2-2 智慧教學系統四大基礎組件		19
表 2-2-3 智慧教學系統的開發流程		20

圖次
圖 3-1-3 研究流程圖　30
圖 3-1-2 PRISMA 文獻研究篩選流程圖　33
圖 4-1-1 關鍵字共現分析 VOSviewer 參數篩選流程圖　41
圖 4-1-2 關鍵字共現分析網絡圖 　42
圖 4-2-1 文獻共被引分析 VOSviewer 參數篩選流程圖　49
圖 4-2-2 文獻共被引分析網絡圖　50
圖 4-3-1 作者共被引分析 VOSviewer 參數篩選流程圖　54
圖 4-3-2 作者共被引分析網絡圖　55
圖 4-4-1 共同作者分析 VOSviewer 參數篩選流程圖　58
圖 4-4-2 共同作者分析網絡圖　59
圖 4-4-2 主題演化分析網絡圖　63

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