利用情境混搭服務進行無所不在的學習

Situational Mashups for Ubiquitous Learning

混搭服務機制是網路2.0中新興的技術，使用者可以在混搭儀表板中部署自己喜愛的小工具。學生可以在無所不在的學習環境中組合所需的學習服務，其中，混搭服務的選用通常會配合使用情境的動態變化而有所不同。當學生的情境隨著位置或行事曆的內容而改變時，學習服務勢必也需要動態的改變以因應情境的變化。本研究提出了一個系統(SituMash)，整合了情境描述、情境推論、工作流程規劃與混搭服務最佳化等機制來達到自動組合混搭服務的成效，以減少人工編排的負擔並實現無間斷的使用流程經驗。實驗結果驗證本研究提出的系統能有效的降低服務組合的時間並達到容易使用的目的。

Mashups is an emerging technology on the Web 2.0. Users can propose favorite preferences and compose various widgets in a mashboard. The mashups selection can be performed dynamically identifying the situational set of widgets available at runtime. Students can mash-up the required learning services in ubiquitous learning environment. In this context， there are dynamic changes in user situations， defined as the configuration of accessible widgets depending on user location and schedule. The development of Situational Mashups requires mechanisms to interpret user context and to mash-up optimal widgets. We proposed a system including context representation， situation reasoning， workflow planning， and mashups optimization， called SituMash， capable of supporting the automatic composition of widgets in response to situation changes without user manual selection. Students can interact with the learning services seamlessly. Experimental results demonstrated that the system possess effective capabilities in composition-time， ease-of-use and usefulness.