TY - GEN
T1 - The design and implementation of a real-time attention recognition/feedback system in online learning course
AU - Cheng, Pei Yu
AU - Chien, Yu Cheng
AU - Huang, Yueh Min
PY - 2018/3/7
Y1 - 2018/3/7
N2 - In recent years, online learning course has been drawn much attention from educators and researchers through the world. Nowadays, some popular Massive Open Online Courses (MOOCs) in the world provide video courses for learning various subjects and have been successfully applied to many subjects. On the other hand, there are some researchers have indicated that attention state and learning are strongly correlated. However, despite their importance, it is a complicated procedure that when educators want to observe the attention state of each student in online learning course. To help educators effectively observe students' attention state in online learning environments. This study designed and implemented a real-time attention recognition and feedback system, for measuring changes in learner attention state. Finally, to achieve the goals as mentioned above, this study carried out the stability testing, usability testing, and expert evaluation of the real-time attention recognition and feedback system.
AB - In recent years, online learning course has been drawn much attention from educators and researchers through the world. Nowadays, some popular Massive Open Online Courses (MOOCs) in the world provide video courses for learning various subjects and have been successfully applied to many subjects. On the other hand, there are some researchers have indicated that attention state and learning are strongly correlated. However, despite their importance, it is a complicated procedure that when educators want to observe the attention state of each student in online learning course. To help educators effectively observe students' attention state in online learning environments. This study designed and implemented a real-time attention recognition and feedback system, for measuring changes in learner attention state. Finally, to achieve the goals as mentioned above, this study carried out the stability testing, usability testing, and expert evaluation of the real-time attention recognition and feedback system.
UR - http://www.scopus.com/inward/record.url?scp=85050736923&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050736923&partnerID=8YFLogxK
U2 - 10.1109/EITT.2017.59
DO - 10.1109/EITT.2017.59
M3 - Conference contribution
AN - SCOPUS:85050736923
T3 - Proceedings - 6th International Conference of Educational Innovation Through Technology, EITT 2017
SP - 214
EP - 217
BT - Proceedings - 6th International Conference of Educational Innovation Through Technology, EITT 2017
A2 - Liu, Juhong Christie
A2 - Nishimura, Shoji
A2 - Jin, Qun
A2 - Zhang, Hai
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference of Educational Innovation Through Technology, EITT 2017
Y2 - 7 December 2017 through 9 December 2017
ER -