網路學習系統評估模式之研究 －模糊多屬性決策之應用－

A study of e-Learning system evaluation model - Application of Fuzzy multiple attribute decision making

李俊佳(Chun-Chia Lee)

指導教授 ： 許通安 ； 皮世明

中原大學/商學院/資訊管理研究所/碩士(2003年)

https://doi.org/10.6840/cycu200300054

摘要

目前網路上衡量網路學習系統方法之文獻多數著重於相關準則或因素之探討，較少針對學習系統各種不同之目標提供較為完整之評估方式。網路學習系統之選擇評估方式為一多屬性決策之問題，在評估時，不同的目標及屬性便應完整被考慮；另外，在衡量相關評估準則或指標之其績效值時，屬性並不純然可量化，有些指標常常是質性或是模糊性；因此，在考量系統之選擇評估時，若未將上述因素一併考量，其結果將會美中不足。一般而言，多屬性決策之方法被運用在解決此問題上，有不錯之效果，所以，本研究之主要目的是希望發展一套具有模糊多屬性之網路學習系統評估模式，以供系統評選決策之參考。本研究將網路學習系統分成教育層面、技術支援層面、及社會層面，經由文獻重新探討回顧中，重新檢視相關網路學習系統之目標，並建構符合多屬性之網路學習相關評估準則；其次，建構模糊多屬性評估模式，首先利用AHP之兩兩比對方式來計算屬性權重，再利用模糊理論之方法求取各準則之平均績效值，最後則用TOPSIS方法做方案之優勢排序。本研究透過三個實際正在運作的著名網路學習系統，以驗證此評估模式之可行性。研究結果顯示，本網路學習系統之評估模式確實可以提供決策者在評選網路學習系統時，重要之決策參考。

關鍵字

AHP ； TOPSIS ； 模糊多屬性決策 ； 系統評估 ； 網路學習

並列摘要

There are many evaluation aspects to be considered in selecting an e-Learning system. However, reviewing related papers, we can find some problems. Between pedagogical expert and technical expert, there seems to exist large gap. This will result in different system evaluation decision-making. Therefore, we need a good method for evaluating e-Learning system. The purpose of this paper is to construct an evaluation model of e-Learning using the Fuzzy Multiple Attribute Decision Making (Fuzzy MADM) and TOPSIS. First, we can consider evaluation model according to three aspects (pedagogical, technical support, and social), then develop the hierarchical evaluation criteria structure of e-Learning from the literature review. Then we will construct the evaluation framework and steps by using AHP, Fuzzy theory and TOPSIS. Finally, we will validate the method using three famous websites. It is shown that the evaluation model of e-Learning is able to solve the above problem between pedagogical expert and technical expert successfully and help the decision maker to choice e-Learning system effectively.

並列關鍵字

system evaluation ； Fuzzy Multiple Attribute decision making (Fuzzy MADM) ； AHP ； TOPSIS ； e-Learning system

參考文獻

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