基於有意義學習之無所不在學習評估模式

A Meaningful Learning Based u-Learning Evaluation Model

近年來，越來越多的無所不在學習(u-learning)系統及應用環境相繼提出，然而無所不在學習必須要經過不斷的評估及改善，以增加及提升其可行性，因此本研究基於有意義學習(meaningful learning)的觀點，提出一個無所不在學習環境評估模式，此評估模式採用分析層級程序法(analysis hierarchy process, AHP)結合了無所不在學習的特性以及有意義學習的要素，來發展一個層級架構模式，根據層級架構和領域專家進行分析層級程序法問卷調查來檢視學習者對於無所不在學習環境之評估準則，從調查分析後的結果可了解到無所不在學習系統的相對應的優點及缺點，以供系統開發者改進此系統之依據以及未來發展之參考，因此，現有的無所不在學習系統可利用此評估模式來驗證及針對缺點來改進符合有意義學習之無所不在學習環境。

In recent years, there has been a dramatic proliferation of research concerned with the ubiquitous learning (u-learning). The u-learning systems have to be continuously evaluated and improved for ensuring the system reliability. Therefore, this work based on meaningful learning aspect to propose a u-learning evaluation model. The model blends features of u-learning and meaningful learning to construct a hierarchy decision model. According to the hierarchy structure, domain experts can develop AHP-based questionnaire survey to collect learners' opinions. Following that, the system developers can realize the relative strength and weakness of the u-learning system from a meaningful learning viewpoint by analyzing the surveyed data, and they can further to improve and refine current u-learning system accordingly. Consequently, existing u-learning system can be revalidated by our evaluation model, and then based on the produced suggestions to improve toward the meaningful learning.