TY - GEN
T1 - A "live" interactive tagging interface for collaborative learning
AU - Shen, Yang Ting
AU - Jeng, Tay Sheng
AU - Hsu, Yen Chia
PY - 2011/9/20
Y1 - 2011/9/20
N2 - We present a real-time interactive tagging system called SynTag for collaborative learning in lectures. The system allows students accessing the web-based interface to tag an ongoing lecture. The collective tagging outcomes are instantly visualized with a dynamic timeline chart to illustrate the assessment of all students. With SynTag, students not only engage in a lecture by the interactive tagging function, but also cooperate with each other to contextualize the lecture. According to the outcomes of students' collaborative tagging activities, the critical spatio-temporal segments of a lecture video are automatically generated as the wave-shape timeline chart. Through the peaks of the wave-shape timeline chart, the valuable video chips of the lecture can be easily highlighted and recognized. In the end of this paper, we demonstrate how the SynTag system contributes to the collaborative learning in undergraduate classes through quantitative and qualitative studies. Finally, we conclude with a discussion based on our evaluation for the improvements and potentials of our system in future works.
AB - We present a real-time interactive tagging system called SynTag for collaborative learning in lectures. The system allows students accessing the web-based interface to tag an ongoing lecture. The collective tagging outcomes are instantly visualized with a dynamic timeline chart to illustrate the assessment of all students. With SynTag, students not only engage in a lecture by the interactive tagging function, but also cooperate with each other to contextualize the lecture. According to the outcomes of students' collaborative tagging activities, the critical spatio-temporal segments of a lecture video are automatically generated as the wave-shape timeline chart. Through the peaks of the wave-shape timeline chart, the valuable video chips of the lecture can be easily highlighted and recognized. In the end of this paper, we demonstrate how the SynTag system contributes to the collaborative learning in undergraduate classes through quantitative and qualitative studies. Finally, we conclude with a discussion based on our evaluation for the improvements and potentials of our system in future works.
UR - http://www.scopus.com/inward/record.url?scp=80052813304&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052813304&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-23734-8_16
DO - 10.1007/978-3-642-23734-8_16
M3 - Conference contribution
AN - SCOPUS:80052813304
SN - 9783642237331
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 102
EP - 109
BT - Cooperative Design, Visualization, and Engineering - 8th International Conference, CDVE 2011, Proceedings
T2 - 8th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2011
Y2 - 11 September 2011 through 14 September 2011
ER -