- 學位論文
基礎認知能力診斷之適性出題系統
Constructing Item Generation System to Diagnose Basic Cognitive Levels
摘要
一般而言，老師要了解學生的在課堂的學習狀況，通常會透過測驗來了解學生的 情況，在傳統的測驗中是以筆和紙來進行考試，本論文利用了電腦化的適性測驗 來取代傳統的考試，並提供了老師有關學生的認知能力診斷，來幫助老師了解學 生的學習狀況。 本論文利用知識地圖來產生語句且設計不同認知階層的題目，這些不同階層的題 目代表的不同的難度。當學生在答題時，系統會依照學生的回答狀況來給予符合 學生程度的題目。 在一個學習環境中，會有著許多的學習物件存在，當學生要開始學習時，學生也 許無法全部學會或者是不知先從哪開始學習，本論文提供了兩種選擇學習物件， 一種是由屬性最普遍的學習物件開始學習，另外一種則是選擇屬性特殊的學習物 件來學習。 本論文設計了一個電腦適性測驗的系統，來診斷學生的認知能力，由老師建立好 知識地圖後，系統會自動產生不同認知能力的題目。系統會配合學生的答題情況 給予合適的題目，當測驗結束後會回饋給老師有關學生的認知能力診斷及分數。 本論文最後有在國小五年級的班級做實驗，以「植物」單元為測驗的範圍，在第 五張有詳細的介紹。
並列摘要
In general, if teacher want to understand learning state of students that usually through the test to understand. Traditional test use pen and paper to test, but his research use the Computer Adaptive Test to test students and provide diagnosis result for teacher to help teacher know learning state of students. This research use knowledge map to generate sentences and design different items with cognitive ability. Those items with cognitive ability represent difficulty level. According to student’s answer state, the system give items appropriate for the students. In a learning environment contains various learning objects. Therefore, students may not able to learn all learning objects. This research proposes a method to select learning object for students to test. In test, system will select appropriate items for student according to their answer states. This research designs an adapted generation system to diagnose student’s learning state. When teacher construct the knowledge map then system can automatic generation different item of difficulty level, In test, system will select appropriate items for student according to their answer states. Finally, this research have a experiment in Elementary School, There are nineteen students of Dahu Elementary School (11 years old in five grades) in this experiment and the experimental subject is plant of science. Chapter 5 will introduce detail of this experiment.
參考文獻
延伸閱讀
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