近年來,隨著寬頻網路的日趨普及,人們逐漸利用網際網路發展出嶄新的學習方式。相關的網路應用也蓬勃發展,如電子商務(E-Commerce)、搜尋引擎(Search Engine)、線上學習(E-Learning)等。越來越多的教材與課程都以Web來呈現。以往老師藉由學生的紙本報告,作業,同儕討論,來瞭解學生的學習過程,而現在我們可以透過Web log來瞭解學生的學習行為。 但對於使用者來說整個網頁內容是否都是令使用者感興趣的,或是網頁內容中只有某些部分是使用者所想觀看的,網頁瀏覽行為分析透過一般的網頁日誌紀錄去做分析是有困難的。因此我們想藉由滑鼠軌跡追蹤(Mouse movement tracking),來得知使用者對網頁內容的瀏覽方式,進一步偵測使用者的在網頁上的興趣區域,這樣可以提供現有的Web based 學習系統給與使用者更好的建議與學習方式。
By the popular of Internet, people have developed gradually new learning model. Associated network application are also developed quickly, ex. E-Commerce, Search Engine, E-Learning , etc . More and more teaching material and course are presented by web. Teacher can understand the learning process of students by students’ report, homework and discussion before, but we can understand students’ learning behavior through web now. It is difficult to analysis whether users are interested in full learning web page context or they just are interested in some parts of learning web page by web log file’s records. Thus, we wish to get users’ browsing behavior on learning web page through tracking their mouse movement and further detect their interesting area on learning web page. It can provide more good and learning model for current web based learning system.