本研究將以國小數學領域「因數與倍數」相關能力指標為例,採用知識結構分析,並結合應用貝氏網路的機率推論工具,建立一套智慧型診斷測驗與電腦化適性補救教學系統。 此系統能立即診斷出學生的錯誤類型,並給予及時、適性的電腦動畫補救教學,期能同時達到評量、診斷、補救教學的功能。 研究結果: 1、採用知識結構分析並結合貝氏網路所建立的診斷評量系統,能有效應用於診斷學生錯誤類型與子技能。 2、透過電腦化適性補救教學後,學生進步情形達到顯著水準,證實本研究的電腦化補救教學動畫具有可行性。 3、本系統能診斷出學生個別的錯誤類型,並給予立即、適性的補救教學,是傳統測驗無法做到的,確實可達到「因才施測」與「因材施教」的效果。
The research is to implement an intelligent diagnostic and computerized adaptive remedial instruction system based on “Factor and Multiple” relevant indicators in elementary school for example by using knowledge structure analysis, and combining with the induction tool of Bayesian network. The system can diagnosis the wrong types of students instantly and can provide the real-time, on-line, right remedy teaching with computer animation so that the functions of evaluation, diagnosis, and remedy teaching can be achieved simultaneously. The results in the research are as follows: 1. The system based on knowledge structure analysis and combined with the evaluation mode built by Bayesian networks can be applied effectively to the diagnosis of students’ mistakes and sub-skills. 2. The computerized remedy teaching animation for students to achieve the significant progress level by using “the computerized adaptive remedial instructions” in this research is proved to be plausible. 3. Since the system can diagnosis the wrong types for each individual and give adaptive remedy teaching which are unavailable by traditional paper test, therefore the effect of teaching-by-individual and testing-by-individual can be certainly achieved.