知識傳播是一部分社會成員在特定的社會環境中,藉助特定知識傳播手段,向另一部分社會成員傳播特定的知識訊息,並期待收到預期的傳播效果的社會活動過程。由於資訊與網路科技的發展,線上學習環境已逐漸成為學習的重要平台,學習者之間藉由線上學習平台達到知識方面的資訊交流,即為一種知識傳播的過程,透過學習者在學習平台上的使用資訊,我們可以探知知識傳播者與知識接收者間內隱的行為模式,以做為學習者各項行為的指標,進而提供教師評量與改進教學的依據,並給予學習者有效的學習建議。 本研究建立一個合作學習的知識傳播平台,提供學習者知識分享與互動討論,讓學習者能分享各種與知識主題相關之文件,並且可在平台上和其他學習者進行互動。此平台還兼具學習者互動行為分析的功能,透過記錄學習者在平台上的使用行為,進而能探勘出學習者在平台上知識傳播行為,包含:1.知識傳播路徑,2.知識傳播樣式,3.知識傳播角色,以及4.知識建構方法。而藉由上述所探勘出的行為,可進一步的推薦適當的教材給學習者。
With the development of Web 2.0 technology, people can easily share information and gain knowledge by collaborating with others using Web 2.0 tools. Social constructivism argues that people construct their knowledge in a social environment, based on which many studies designed web-based learning tools and showed its efficiency for students. However, few studies had devoted to mining students’ behaviors on such collaborative learning system. Therefore, in this research, we designed a cooperative learning system and proposed algorithms of learning behavior mining based on social network analysis, by which teachers or pedagogical researchers can understand more about how learners distribute and acquire knowledge, including the knowledge distribution path and types of a group, and knowledge distribution roles and knowledge construction methods of students. Based on the analysis results, a student evaluation approach was also derived to provide teachers good suggestions for evaluating students’ performances on a collaborative learning platform. Besides, we also proposed a learning recommendation mechanism to achieve more adaptive learning. Experiments were conducted on two college courses. The experiment results, including behavior analysis and user study, showed the feasibility of the proposed methodology of knowledge distribution analysis.