評估學習者的學習成效在學習旅程中是很重要的部分，它可以幫助教師易於檢查學生的學習成就並提供適合教學和學習的個人化教材。然而確定學生的學習成就並不是一項簡單的任務，由於有很多的因子都必須納入考量。因此如何正確地評估學習者的學習成就進而促進有效的學習即成為數位學習中重要並具挑戰性的課題。
本研究提出一個新穎的方法以評估學習者的學習成就並提供個人化的補救建議和學習。主要有三個程序，第一，基於學習者的測驗結果，計算出每個診斷因子－正確率、試題困難度、信念度；第二，利用模糊理論推論出學習者的學習成就；第三，基於布魯姆認知目標和概念構圖提供學習者個人化的回饋。
此外，本研究進行了一系列實驗以評估所提出的系統之有效性，實驗結果顯示使用本研究所提之系統其學生的學習成效顯著的優於使用其他系統的學生，經由此實驗可推論出本學習系統對於學生的學習成效以及學習效率是有幫助的。

To evaluate learners’ performance is a crucial issue for the learning journey. It can help instructor easy to check learner’s learning achievement and provide individualized learning materials that are appropriate for teaching and learning. However, determining a learner’s learning achievement is not a straightforward task, since there are so many factors that need to be considered. Hence, how to properly evaluate learners’ performance and promote effective learning is an important and challenging issue.
This study proposes a novel method for evaluating learning achievement and providing personalized feedback of remedial suggestion and instruction for learners. It functions as a combination of three particular processes. The first is based on learners’ test results to calculate the values of three diagnostic factors - accuracy rate, test difficulty, and confidence level. The second is to employ fuzzy theory to infer learning achievement of learners. The third provides personalized feedback for learners based on concept map with cognitive taxonomy.
We conducted an experiment to evaluate the performance of the proposed system. The results showed that the learning performance of the students who used the proposed system was significantly better than those who used the other system. Consequently, we can infer that the proposed system can help learners to learn more effectively and efficiently.

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