由於數位學習其跨越時間與空間之特性,提高了學習的便利性,較傳統教學方式更能考慮個別學習者的需求,然而現有的數位學習教材多數未參考學生個別的差異性。單向無回饋機制的教學評量方式不僅無法立即透過學習者學習的結果改善學習成效,也不易達成適性化的教學目標。有鑑於此,本論文將建置一線上學習輔助策略系統,以歸納出學習者之學習風格所適用之輔助教學機制。此系統包含兩大部分,一為VARK測驗系統,用以區分學習者之學習風格,二為包含四種學習輔助策略的電腦軟體應用丙級學科題庫測驗系統。學習者首先透過VARK測驗可得知自己歸屬之學習風格,再進行學科測驗並分析出每種學習風格適用的學習輔助策略模式;最後再分析出規則的關聯,以提供教師與學習者相關建議有效提升學習成效,進而達到因材施教的目的。且透過本研究假設驗證後,發現提問澄清法對於不同學習風格以及學習者性別,其輔助成效皆明顯優於聯想法與類比法,並經過統計分析之驗證可觀察出提問澄清法對於不同學習風格皆呈現高度顯著性。數位教材的設計應考慮學習者風格之特性,設計不同輔助策略的教材,以達適性教學之目的。
E-Learning is a new learning method that across the constraints of time and space. It’s better than traditional teaching methods that can take into individual student's learning requirements. However, most of the E-learning materials didn’t refer to the individual differences of students, and the teaching evaluation method which is one-way and no feedback can’t reacts individuals’ learning results immediately, so it’s hard to archive adaptive teaching objectives. Therefore, this thesis will build an online learning strategy system to summarize the learning styles for learners of secondary education system. The system consists of two major parts, one for the VARK test system to differentiate between learning styles, and the second part is Certification of Commercial Software 3nd Grade Subject exam system, which includes four kinds support learning approach. Learners first need to understand their learning style through VARK exam, then go for the Subject exam, and analyze the learning style and support learning approach derive the best for each of them. And finally, discovering those rules’ relations through analysis and provide corresponding suggestions for teachers and learners to improve their learning effectiveness. According to a detailed hypothesis and experiment, this paper discovers that Question for Clarification Method for different kind of learning styles and sexes, is much more effective as compare to LINCS and Typological Method, and after conducting a detailed statistical analysis, this paper observed that Question for Clarification Method for different kind of learning styles, all having high significant of impact. Therefore, this paper suggests that Question for Clarification Method can combine LINCS and Typological Method into digital learning materials, to achieve the appropriate teaching purposes.