隨著資訊科技與網際網路技術之蓬勃發展,許多企業應用網路數位學習系統(e-learning)來進行企業人員教育訓練。雖然,運用e-learning來增進知識創新與管理已成為一種新的趨勢。但是多數企業仍然缺乏有效的網路教育訓練(e-training)平台與訓練課程。特別是在課程與教材設計方面,如何有效地獲取知識,以達到網路教育訓練系統之建置效益,已成為重要議題。本研究之目的在於整合基因演算法(GA)、案例推理法(CBR)以及知識管理(KM)方法來獲取、分類並組織教材知識,以便協助人員有效地獲取知識。此外,本研究並且以問題導向學習策略(PBL)來規劃相關教材內容且以多媒體技術設計數位化內容,建置一web-based的網路教育訓練平台。最後,透過實證研究之方式,評估受試者在於接受本系統所提供之故障組態辨識模擬訓練,對於其故障診斷績效之影響。由研究結果顯示,所提供之故障組態辨識模擬訓練在提昇故障診斷的正確率方面有顯著之差異效果(t=3.946, P<0.05)。相關研究成果希可作為企業建置網路教育訓練系統之參考。
With the booming of informational technology and Internet development, it is a trend in knowledge creation and management for enterprises to apply e-learning in their educational training. Though the information technology of e-learning has matured, many enterprises are lacking in effective e-training program, Particularly, because of the shortage of an effective knowledge acquisition approach to the curriculum and teaching material design, the effectiveness of e-learning is limited. The purpose of this study attempts to integrate genetic algorithm (GA), case-based reasoning (CBR), and knowledge management (KM) approach to acquire, to classify and to organize the domain knowledge. The problem-based learning strategy (PBL) had been used for curriculum planning with an aim at designing digital contents for the web-based training platform. At last, through an experiment, the fault diagnosis performance of pattern-recognition training offered in the training system had been conducted to evaluate the effectiveness of the system under time stress. The result of this research indicated the pattern-recognition training offered in the training system had significant effect (t=3.946, P<0.05) on the correct rate of fault diagnosis. However, Results from the research can serve as references for enterprise’s e-training system construction.