現今Web網路工作的環境，愈來愈多地學習者利用網際網路尋找資源，以便完成他們實際作業和工作。雖然搜尋網際網路的資源，大部份能夠連結且為當前重要的資訊，可提供學習者對任何一個實際主題作進一步的研究，然而令人困擾地，這樣地主題式搜尋引擎，許多使用者仍必須耗費時間和精力去整理大量被搜尋到的資訊，摘錄其中的內容，相關到一個主題；此外單純地要求學生到網上搜尋相關的輔助資訊，並無法有效地在教學的過程中支援老師的教學和學生的學習。
本研究目的關注在二個觀點：如何萃取傑出部落格文章，及動態地應用在學習地圖上。本篇首先提出一個動態的學習地圖方法，藉由動態模糊派萃網模型技術，可以事先規劃教學主題，提供動態與輔助學生的網路課程學習；第二則當學生在學習地圖上需要輔助時，提供相關一個主題的傑出落部格文章作輔助學習。此學習輔助機制的評斷是由部落格文章之中的三個特徵：trackback(引用)，hyperlink(連結)，和comments(讀者評論)，做為評估的標準，而萃取出重要且具代表性的部落格文章。
本篇結果顯示了動態學習地圖能夠提昇學習者自我調控學習的能力，另一方面在學習的情境下，利用部落格文章與它三個特徵，能夠評斷主題文章的關連度與重要性，藉此能感知專家部落格中重要的內容，提供學習者輔助學習之用，進而學習者能夠得到對課程深一層的瞭解。此研究也提供了一個範例的說明，並藉由領域專家評估其範例的結果，證明這種學習模式的有效性，及強化學習者的學習功能。

More and more learners are using the Internet to find the resources needed to complete assignments in ways which reflect their understanding of the most relevant, up-to-date information available on any particular topic of study. However, simply asking students to find information on the Internet is not an efficient way to teach or tutor. Even if a domain-specific search engine can increase the efficiency of students' searches, the time and energy needed to sort through the vast amounts of information available in every domain can still result in frustration for many users. Today’s students thus expect high quality tools and resources to guide their learning online.
The work of the dissertation attempts to focus on two key points, Dynamic Learning Maps and Elite Blog Articles. First of all, the dynamic learning map is proposed, which automatically regulates a student's navigation through a Fuzzy Petri Net model. The second key point is the ability of the learning map to find important and authoritative blog articles, henceforth referred to as “elite articles”, for students in any number of disciplines. The underlying concept of the device is built upon three important characteristics of blog articles: trackbacks, hyperlinks, and comments, which allow students to interact with the original blog article, the article’s author and other readers.
The results show that the dynamic learning map refines the learner’s self-directed process and offers some assistance to lead learners to elite article. The device described in this study identifies elite articles and presents them to students in the form of a list of recommended readings related to the learning topic. Not only does the device save students time and effort, but it also enables users to become active participants in an electronically connected community of learners. Furthermore, learners obtain important content which dynamically leads learners to deeper levels of understanding of the topic they are interested in. Two examples of the device's implementation are described, and the quality of democratically selected articles is evaluated by experts in the specified domain. The findings of the dissertation indicate that the device efficiently and effectively enhances users' learning.

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