TY - GEN
T1 - Applying big data analysis technique to students' learning behavior and learning resource recommendation in a MOOCs course
AU - Su, Yu Sheng
AU - Ding, Ting Jou
AU - Lue, Jiann Hwa
AU - Lai, Chin Feng
AU - Su, Chiu Nan
N1 - Funding Information:
This study is supported in part by Research Center for Advanced Science and Technology, National Central University, Taiwan.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/21
Y1 - 2017/7/21
N2 - Through MOOCs and social media platforms, users can share, track, and search for the information of their specific interests. Thus, they can make interactive discussions as well as social media learning on multimedia texts and learning materials. This paper proposes a big data analysis technique on learning portfolio to explore how the interaction, unknown correlations, and hidden patterns among learners on MOOCs and social media platforms starts, and recognize the using big data analytics transforming on students' learning behavior. Therefore, the learning behavior information will be the recommendation of the analogous courses for the instructors in the future.
AB - Through MOOCs and social media platforms, users can share, track, and search for the information of their specific interests. Thus, they can make interactive discussions as well as social media learning on multimedia texts and learning materials. This paper proposes a big data analysis technique on learning portfolio to explore how the interaction, unknown correlations, and hidden patterns among learners on MOOCs and social media platforms starts, and recognize the using big data analytics transforming on students' learning behavior. Therefore, the learning behavior information will be the recommendation of the analogous courses for the instructors in the future.
UR - http://www.scopus.com/inward/record.url?scp=85028546240&partnerID=8YFLogxK
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U2 - 10.1109/ICASI.2017.7988114
DO - 10.1109/ICASI.2017.7988114
M3 - Conference contribution
AN - SCOPUS:85028546240
T3 - Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017
SP - 1229
EP - 1230
BT - Proceedings of the 2017 IEEE International Conference on Applied System Innovation
A2 - Meen, Teen-Hang
A2 - Lam, Artde Donald Kin-Tak
A2 - Prior, Stephen D.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Applied System Innovation, ICASI 2017
Y2 - 13 May 2017 through 17 May 2017
ER -