隨著網路的普及,校園中的學習網站也紛紛成立,學生不必親自到教室也能得到老師教學上的資訊,且能直接上傳作業快速而方便。但一般的學習網站多以提供老師的教材為主,同儕的作品卻被忽略。心理學家Vygotsky提出近側發展區的觀念,除了學生自己獨立學習外,透過同儕的幫助也可以發展學習,因此我們提供一套範例推理機制,可以推理出適合推薦給學生學習的同儕範例,藉由機制裡的相似度比對,可以運算出學生作品間的相似度。另外,學習網站隨著時間會累積大量的學生作品,但往往系統伺服器卻成為儲存學生作品的容器,忽略了這些累積的學生作品蘊含了諸如學習歷程(Portfolio)等的知識,可以藉此觀察出學生的學習能力。我們配合凱利方格的技術分析這些學生作品。凱利方格技術是基於個人建構式心理學所發展出來,在運作過程中會從學生作品引出構念,不但可藉此觀察學生運用哪些知識來完成作品,並可評鑑學生的能力,因此學生作品得以分析分類。
Current development of network enable students perform learning activity on the web.For instance,students can upload their portfolio to the web server.However,in general web-site,few mechanisms have been provided to enact peer support . Vygotsky , a phychologyst,addressed the idea of Zone of Proximal Development (ZPD).Through the supports from others,including peers,students can achieve advanced development.Inorder to improve students’ ZPD,this study attempts to implement a case-based reasoning mechanism for reasoning the knowledge for recommending peers’ exercise.Using the similarity measurement,learning systems can compute the similarity among the students’ assignment.There were accumulated a lot of students’ assignments in the web server.Nevertheless,web servers are soley the container to cache the data.There were much knowledge such as portfolio in this assignments.Therefore,this study try to implement a system that can analysis and classify students’ assignments.The system uses Kelly’s grid technique to extract the case’s constructs.We can not only observe what concept did the student use to complete exercise,but also assess the knowledge embedded in portfolios for reusing these portfolios.