發明
中華民國
102127942
I 494892
網路式學習社群推薦方法及其系統
弘光科技大學
2015/08/01
隨著社交網路的普及化,合作式學習不在受限於傳統教室教學活動。既然社交網路有助於組織線上學習者以建立共同分享想法,進而提升學習互動,線上團體與學習社群紛紛投入建立線上社群。許多研究已指出合作學習社群是重要的考量因素以提升學習成效。因此,本論文基於k個最鄰近分類法提出一個學習社群推薦方法,用以幫助學習者加入合適的學習社群。為了驗證所提出方法之有效性,本提出方法被實現於實際學習者用以推薦學習社群,實驗結果指出所提出之方法可以有效推薦合適的學習社群給學習者. With the popularity of society networks, cooperative learning is no longer limited to traditional classroom teaching activities. Since society networks facilitate to organize online learners, to establish common shared visions, and to advance learning interaction, the online community and online learning community have triggered the establishment of web-based societies. Numerous research literatures have indicated that the collaborative learning community is a critical issue to enhance learning performance. Hence, this paper proposes a learning community recommendation approach to facilitate that a learner joins the appropriate learning communities, which is based on k-nearest neighbor (k-NN) classification. To demonstrate the viability of the proposed approach, the proposed approach is implemented for 117 students to recommend learning communities. The experimental results indicate that the proposed approach can effectively recommend appropriate learning communities for learners.
研究發展處
04-26318652轉2205
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