TY - GEN
T1 - A Computer Supported Collaborative Annotation System
AU - Cao, Huanhuan
AU - Liu, Lili
AU - Lin, Bocheng
AU - Zhang, Lishan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Today, with the rapid development of information technology, educational informatization is imperative. As a course to cultivate and improve students' thinking and understanding ability, reading courses in college require students to think and discuss actively. Annotation reading is an effective way to help students deepen their understanding of reading materials, guide students to think actively and express their insightful views. However, the traditional annotation is inconvenient for students to communicate and share due to its own limitations. Therefore, our study proposes a computer-supported collaborative annotation system for the teaching of reading courses in colleges. In this study, peer review and feedback based on text analysis algorithm are added to the system function design to stimulate students' participation motivation, promote the self-reflection of students and improve their reading ability.
AB - Today, with the rapid development of information technology, educational informatization is imperative. As a course to cultivate and improve students' thinking and understanding ability, reading courses in college require students to think and discuss actively. Annotation reading is an effective way to help students deepen their understanding of reading materials, guide students to think actively and express their insightful views. However, the traditional annotation is inconvenient for students to communicate and share due to its own limitations. Therefore, our study proposes a computer-supported collaborative annotation system for the teaching of reading courses in colleges. In this study, peer review and feedback based on text analysis algorithm are added to the system function design to stimulate students' participation motivation, promote the self-reflection of students and improve their reading ability.
KW - collaborative annotation
KW - CSCL
KW - technology-enhanced learning
UR - https://www.scopus.com/pages/publications/85125904478
U2 - 10.1109/TALE52509.2021.9678517
DO - 10.1109/TALE52509.2021.9678517
M3 - Conference contribution
AN - SCOPUS:85125904478
T3 - TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings
SP - 1102
EP - 1105
BT - TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021
Y2 - 5 December 2021 through 8 December 2021
ER -