頁籤選單縮合
題 名 | 概念關聯模型與灰色預測在網路智慧型學習診斷系統之應用=The use of Concept Relative Model and Gray Forecast in a Network-based Testing and Diagnostic System |
---|---|
作 者 | 楊明峰; 黃國禎; | 書刊名 | 遠距教育 |
卷 期 | 12 1999.06[民88.06] |
頁 次 | 頁7-13 |
分類號 | 521.3 |
關鍵詞 | 概念關聯模型; 灰色預測; 網路學習; 測驗; 診斷; 學習障礙; |
語 文 | 中文(Chinese) |
中文摘要 | 在教學過程中,測驗是了解學生學習狀況很重要的方式之一。良好的測驗與診斷 系統,不但能夠有效地評估學生的學習成效,更能診斷學生的學習障礙與盲點。在本論文中, 我們嘗試結合灰色預測與概念關聯模型,來強化診斷學生學習障礙的目的。我們提出的概念 關聯模型,不僅加強了對課程概念先後關係的描述,並使得不具先後關係的相關概念也能充 分表達。在學習障礙的診斷過程中,我們利用灰色預測的技術來推測診斷過程的變數值,使 得計算結果更加精確。藉由灰色預測與概念關聯模型的整合,我們能更加準確地診斷學生的 學習狀況。 |
英文摘要 | Test is an important way to understand students' learning status in the teaching process. A well-designed test and evaluation system not only can evaluate students' learning performance but also diagnose their learning barriers and blind spots. We try to combine Gray Forecast and Concept Relative Model together to enforce the purpose of diagnosing students' learning barriers. The Concept Relative Model we proposed not only enforces the sequence relation in course concept relation but also fully expresses those concepts that do not have sequence relation. In calculation, we use Gray Forecast to predict the constant value, which is used in the diagnosing and reasoning process. With the integration in Gray Forecast and Concept Relative Model we can diagnose students' learning status more exactly. |
本系統中英文摘要資訊取自各篇刊載內容。