DocumentCode
3671516
Title
Online annotation system and student clustering platform
Author
Miao-Han Chang;Rita Kuo; Maiga Chang; Kinshuk; Hsu-Yang Kung
Author_Institution
Sch. of Comput. &
fYear
2015
Firstpage
202
Lastpage
207
Abstract
When students read a book, they usually annotate important words on the text. Students may miss some important information while reading the book. If someone can remind them the potential important annotations, students might get better academic performance later in terms of having better marks for written exams, quizzes, and other learning activities. This research implements an online platform which can help students annotate reading activities with different ways. The online platform can also give students annotation suggestions according their annotation behaviours. On the other hand, teachers can use this platform to review students´ annotations in order to discover students´ potential learning problems. The platform can also help teachers cluster students into different groups according to their annotation behavious. Besides explaining and demonstrating the platform with examples, this research also designs an experiment plan for evaluating the system in the future.
Keywords
"Lifting equipment","Biological cells","Toxic chemicals","Water pollution","Accuracy","Information systems"
Publisher
ieee
Conference_Titel
Ubi-Media Computing (UMEDIA), 2015 8th International Conference on
Type
conf
DOI
10.1109/UMEDIA.2015.7297455
Filename
7297455
Link To Document