基於學習歷程分析之個人化英語閱讀引導策略與應用   全文下載

Personalized English Reading Strategy and Application based on Learning Portfolio Analysis

情境式的學習方式，使學習者與真實環境產生互動關聯並促進學習印象與學習經驗之建立，而適當地結合科技環境與閱讀策略，除可強化學生理解能力，進而還能提高學習之效益。藉此，本研究以情境式語言教學法為基礎，建置一個結合位置感知技術與文章閱讀引導之英語閱讀學習系統。於閱讀引導機制部分，則依據學習歷程之分析，經統計計算後作為決策參數，再藉由基因演算法考量文章閱讀關聯性與文章困難度，透過疊代的演化排序，提供適切、漸進且個人化的文章閱讀順序進行學習。而於實驗分析部分，評估結果均顯示，此學習系統確實有效提升學習者學習意願與學習成效。

The theory of situational language teaching which promotes students to transform abstract perceptions into tangible thoughts is the key to stimulate the learners´ internal and external learning motives. Moreover, the combination of technological environments and good guidance and reading instructions enhance the linguistic capabilities and enhance reading comprehension of students. Therefore, this paper constructs a ubiquitous English-reading learning system that combines RFID location-aware technologies and a guidance mechanism. The guidance mechanism utilizes the data of a learning portfolio to evaluate guidance parameters, and simultaneously considers information regarding the degree of relational reading and reading difficulty, which can be entered into a genetic algorithm to construct a near optimal reading sequence during learning activities. Based on the experimental results, this reading learning system results in an efficient and effective learning performance to promote learning motivation through appropriate learning paths.