Educational Data Mining using Chance Discovery from Discussion Board
(0) We present our preliminary research results of identifying serendipitous findings from discussion forums of students in this paper.A text-mining tool called Polaris was used to generate the analytical results in KeyGraph helping teachers assess the effectiveness of teaching and innovation of learning respectively through the visualization of hidden patterns in the online learning environment.Our results show that the serendipitous findings have shown a traceable pattern to predict the academic performance of students.The research findings can lead to adaptive pedagogical designs for teaching and learning by finding hidden patterns and linkages among the students” serendipitous learning.Both teachers and students can be supported on how to improve teaching and learning with feedbacks from this new tool.Ultimately,the advanced mining technology to assess the students” knowledge discovery process can create a new approach for transformative learning and teaching in education.
educational data mining topic detection serendipitous learning chance discovery learning analytics big data
Simon Y.K.LI Gary K.W.WONG
The Hong Kong Institute of Education,Hong Kong
国内会议
The 20th Global Chinese Conference on Computer in Education ( 第20届全球华人计算机教育应用大会)(GCCCE2016)
香港
英文
712-715
2016-05-23（万方平台首次上网日期，不代表论文的发表时间）