本研究之目的為在智慧資本之觀點下，找出影響數位學習學習成效的指標，以建構一套客觀且合適的數位學習課程績效評估模式。本研究應用可衡量多項投入與多項產出的資料包絡分析法(Data Envelopment Analysis,DEA)，以亞洲大學98學年度第二學期使用E化教學園的40門數位學習課程為研究對象進行效率評估。績效的衡量對於數位學習的推動有其正向之力量，因為透過效率的衡量可使學校瞭解現階段資源配置的有效性，並根據各模式評估之結果提供學校改善的方向與建議。 本研究之結果發現，多數的數位學習課程之整體效率仍有改善之空間，其中以人力資本對於數位學習課程之績效影響程度最大。此外，差額變數分析結果顯示，對於未達整體效率的課程，需進行改善幅度較大的因素是課程登入次數與教材下載次數，表示此為造成課程無效率的主要原因。最後，透過本研究效率評估模式之建立，有利學校進行自我評估藉以發現缺失並加以檢討與改進，使教育資源達到有效利用，以提高教育品質。 The purpose of this study is to explore the factors affected the E-learning outcomes, and construct an objective and appropriate assessment model for evaluating the performance of E-learning courses in terms of the perspective of intellectual capital. This study adopted Data Envelopment Analysis (DEA), which can handle multiple inputs and outputs, to evaluate the efficiency of E-learning courses in higher education. The results of this study could provide the understanding of the effectiveness of the resource allocation via the measurement of the efficiency, and improvement suggestions. Therefore, the performance evaluation has the positive power towards the improvement of E-learning. The results show that most of E-learning courses still need to be improved in terms of their technical efficiency, and the human capital has the strongest influence on the performance of E-learning courses. According to the slack variable analysis results, the times of login and the download times of teaching materials were the factors that caused the performance of courses inefficiently. This study was conducted to provide a better performance assessment model, and the findings of this research may be referred to the improvement and decision for instructional methods. This model provides an useful tool for education institutions which have a demand to conduct self-assessment to improve E-learning course's performance.
