隨著科技日新月異的變化，改善了許多生活中不便的事，科技發展驅使教育場域應用更多科技以增進學習效果，教育者透過科技教具或平台，增加學生互動、學習興趣或是繳交作業效率。於疫情期間，教育比過往更依賴科技所帶來的便利，伴隨著愈來愈多不同領域的研究出現，為了解過去幾十年科技對教育的影響，以及對日後教學發展的建議，本研究將藉系統性的文獻分析，找出教育領域數位化發展的主要脈絡，以及對實務的意涵。
　透過Web of Science資料庫，利用關鍵字搜尋以及主題限縮，蒐集自1990年至2022年關於電子學習應用教育發展的文獻，共2,541篇。使用主路徑分析方法，並在引證關係中找出科技教育的主要發展研究脈絡；自Edge-betweenness集群分析找出重要的主流研究子題，探討趨勢和推動融合科技教育的策略；再利用VOS集群分析探索學者之研究領域；最後透過線性迴歸模型，試找出國家、知識源流、研究領域以及作者研究特性等四大自變數類型，影響學者於此領域貢獻的關鍵因素。
　研究結果顯示，電子學習領域之研究，歷年不斷成長，研究主題由電子學習的「執行狀況」，發展至電子學習的「成長與準備」；在全球疫情出現之後，現今主要研究電子學習面臨的困境。科技應用於教育研究至今的三大重要議題為：理論框架與預測分析、數位環境下之學習狀況以及學習者的自我學習與調節，為日後學者找出電子學習領域中，尚未完善之研究主題；並以不同角度觀測此網絡樣貌，利用線性迴歸觀測出影響學者貢獻的因素，論國家而言，以台灣學者最具影響；論知識源流，以Education and Information Technologies以及Interactive Learning Environments兩期刊，較具顯著之影響；以研究領域而言，框架與理論為至今較主流的研究主題；最後，以作者研究特性部分探討，合作文獻較多之學者，更易在此領域展現其貢獻性。

　The change of new information technology drives more applications in the education field to enhance the effect of learning. Educators use technology teaching devices or platforms to motivate students in learning. During the COVID-19 epidemic, the necessity of technological applications becomes more critical than ever. More and more scholars make efforts on the relevant studies and show the challenges in the education field. In this study, we aim to take a systematic review to explore the changes of what happened in this field and extract meaningful insights for future education practices.
　　To identify the research focuses, we collect relevant publications about digital technology in the education field from the Web of Science database. The final dataset includes 2,541 studies, from 1990 to 2022. By extracting citation information from papers, we applied main path analysis and Edge-betweenness clustering to find research directions over time, and identified main themes in this field.
　　The research results show that e-learning has grown continuously over these years. The research topic has developed from the implementation of e-learning, to the difficulties of e-learning implementation. The three subtopics from the Edge-betweenness clustering include theoretical framework and predictive analysis, learning conditions in digital environment, and learners' self-learning and adjustment. From empirical models showing scholar’s contributions, we found that the scholars from Taiwan, publications in Education and Information Technologies and Interactive Learning Environments, research focus in education theories, and cooperation make scholars play influential role in the knowledge network.

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