Title: A Votable Concept Mapping Approach to Promoting Students' Attentional Behavior: Based on the Evidence of Mining Sequential Behavioral Patterns
Authors: Sun, Jerry Chih-Yuan
Hwang, Gwo-Jen
Lin, Yu-Yan
Yu, Shih-Jou
Pan, Liu-Cheng
Chen, Ariel Yu-Zhen
教育研究所
Institute of Education
Keywords: data mining;data visualization;polling;attentional behavior
Issue Date: 1-Jan-2017
Abstract: This study presented a votable concept mapping approach to promoting students' attentional behavior based on the evidence of mining sequential behavioral patterns. Twenty-nine students from an Educational Research Methodology course were recruited as participants. In the first week, a group-polling method was introduced in class; in the second week, participants were asked to draw concept maps using pen and paper (PnP concept mapping); and in the third week, the polling system and concept maps were integrated (votable concept mapping) and applied. The results showed that the votable concept mapping method was effective to stimulating students' attention during class. It was therefore suggested that teachers adopt methods integrating concept maps and polling tools to stimulate students' attention and thereby promote a positive cycle of attentional behavior in the classroom.
URI: http://dx.doi.org/10.1109/SC2.2017.53
http://hdl.handle.net/11536/150754
DOI: 10.1109/SC2.2017.53
Journal: 2017 IEEE 7TH INTERNATIONAL SYMPOSIUM ON CLOUD AND SERVICE COMPUTING (SC2 2017)
Begin Page: 275
End Page: 278
Appears in Collections:Conferences Paper