探勘合作式學習社會網路支援問題導向學習知學習伙伴推薦

Abstract

在合作式學習系統上常常發生同儕之間互動不夠，或者無法找到合適的學習同儕進行有效的合作式學習現象，因而導致學習成效不佳。而透過教師對於合作式學習的分組，無法保證合作式學習伙伴彼此之間是否合適，不合適的合作式學習伙伴，不但無法達成合作式學習目的，也將造成互動性不佳，而失去了合作式學習的意義。因此本研究希望藉由探勘合作式學習互動社會網路方法，找出每一個學習者在合作式學習環境中的社會互動排名，刺激學習者積極與他人討論與互動，進而藉由分析合作式學習社會網路特性，媒介適合於一起進行合作式學習的伙伴，以提升合作式學習環境學習者的學習成效。本研究在合作式問題導向學習平台上利用學習者在合作式學習歷程中產生的訊息傳遞紀錄，經過提出來的學習者互動社會網路探勘方法，得到每一個學習者在這個學習社群中的社會分數，以激勵學習者的合作式學習動機；也提出同時考慮個人與團體成員互動狀況及社會分數的媒介合作式學習伙伴機制。結果顯示本研究所提出來的方法，對於提昇合作式問題解決學習模式的學習成效確實具有助益。In Web-based cooperative learning environments, peer-to-peer interaction often suffers from the difficulty due to lack of exploring useful social interaction information, so that peers cannot find appropriate learning partners to make an effective cooperative learning. This problem easily results in poor learning outcomes in Web-based cooperative learning environments. Generally, learning partners assigned by instructors cannot ensure to compose suitable learning groups for individual learners in cooperative learning environments. Inappropriate learning partners not only easily lead to poor learning interaction and achievement, but also lose the meaning of cooperative learning. As a result, this study presents a novel scheme of mining social interactive networks for recommending appropriate learning partners for individual learners in a cooperative problem-based learning environment. The preliminary experimental results reveal that the proposed scheme provides likely benefits in terms of promoting learners’ learning interaction and learning performance in cooperative learning environments.