以電腦輔助合作學習診斷系統應用於人類發展學之課程規劃

Implementing a Learning Diagnosis System with Computer-supported Collaborative Learning in a Human Development Course

10.6145/jme.200509_9(3).0001

黃河銓(Ho-Chuan Huang)；汪翠瀅(Tsui-Ying Wang)

網路教學 ； 人類發展學 ； 學習診斷 ； 貝氏網路 ； 電腦輔助合作學習 ； e-learning ； human development ； learning diagnosis ； Bayesian network ； computer-supported collaborative learning

Journal of Medical Education

9卷3期（2005 / 09 / 01）

211 - 223

繁體中文

本文主要是介紹應用貝氏網路機制及結合電腦輔助合作學習模式，建構一個網路學習診斷系統，並將其運用於人類發展學的課程學習。本系統的方法主要是利用學習評量原理以針對學習者的線上測驗結果做詳細的分析與診斷，得知學習者的各個概念的學習狀況。根據概念間的因果關係，以推論出學習者對概念認知的程度，進而以學習者對概念學習的精熟程度之差異來分派其正確的學習策略。本系統並利用電腦輔助合作學習的特性，以學習者對概念學習的精熟程度來判斷學習者是否有足夠的能力來幫助其他學習者。藉由電腦輔助合作學習的優點，讓擁有不同經驗、能力及相同興趣的學習者可輕易地建立合作學習社群，互相交談、學習、分享經驗與討論，以提供學習者適當的引導與協助，使學習者能相互提升學習的動力及能力，進而提升學習品質與加強學習者間的互動學習。

This paper introduces the construction of a web-based learning diagnosis system based on both Bayesian networks techniques and computer-supported collaborative learning (CSCL) pedagogy, to be applied to ”Human Development” course. Based on the on-line assessment, the system will make diagnosis on the learner's knowledge comprehension according to the causal relationships of Human Development course's knowledge; the system will then feedback with recommended references for further study and recommend candidate peers for consultation and discussion. Poor learners can get help from their peers who have demonstrated better understanding of the knowledge. The collaborative learning community is built to offer a cooperative learning environment whereby learners with different characteristics can collaborate for problem solving, peer support, mutual guidance, information exchange and discussion. This course architecture facilitates the interaction among tutors and students in a dynamic web-based learning environment. (Full text in Chinese)

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