本研究以國小六年級為對象,將國語科以文體作為分類,選定記敘文體做為教學內容,自編數位教材,進行資訊融入語文領域教學,並以結合試題結構理論與貝氏網路為基礎之適性測驗選題策略進行測驗,應用於診斷學生學習之錯誤類型,並比較個別指導模式與團班教學模式之成效差異。 本研究期望建立國語科以文體作為教學的分類,開發數位學習教材,進行個別指導模式之讀寫教學,並協助提高施測的效率,同時有效的針對學生學習難點進行補救教學。 本研究結果發現: 一、透過個別指導模式進行教學,其教學成效明顯優於傳統之團班教學。 二、結合知識結構與貝氏網路之電腦化適性診斷測驗,比紙筆測驗平均節省33%的試題,可以提高施測的效率。
Abstract This research studied the 6th grade students in elementary school. Information technology was integrated into narrative teaching of language domain. Digital curriculum was designed, and adaptive tests based on knowledge structure and Bayesian networks was adopted in order to diagnose the error types in students’ learning and to compare the effectiveness between group and individual instruction models. This study aimed to categorize Chinese language teaching by style, develop digital learning curriculum, carry out individual instruction of reading and writing, enhance the efficiency of the tests, and employ remedial instruction effectively. The findings of this research include the followings: 1. The learning outcomes of individual instruction model are significantly much better than the traditional group instruction model. 2. The adaptive tests combining knowledge structure and Bayesian networks averagely save 33% of the pen-and-paper test items, and improve the efficiency as well.