Paper Info
Title
Developing a reading concentration monitoring system by applying an artificial bee colony algorithm to e-books in an intelligent classroom.
Abstract
A growing number of educational studies apply sensors to improve student learning in real classroom settings. However, how can sensors be integrated into classrooms to help instructors find out students' reading concentration rates and thus better increase learning effectiveness? The aim of the current study was to develop a reading concentration monitoring system for use with e-books in an intelligent classroom and to help instructors find out the students' reading concentration rates. The proposed system uses three types of sensor technologies, namely a webcam, heartbeat sensor, and blood oxygen sensor to detect the learning behaviors of students by capturing various physiological signals. An artificial bee colony (ABC) optimization approach is applied to the data gathered from these sensors to help instructors understand their students' reading concentration rates in a classroom learning environment. The results show that the use of the ABC algorithm in the proposed system can effectively obtain near-optimal solutions. The system has a user-friendly graphical interface, making it easy for instructors to clearly understand the reading status of their students.
Year
DOI
Venue
2012
10.3390/s121014158
SENSORS
Keywords
Field
DocType
reading concentration,sensor technology,artificial bee colony algorithm,e-books,intelligent classroom
Artificial bee colony algorithm,Monitoring system,Computer science,Electronic engineering,Graphical user interface,Human–computer interaction,Artificial intelligence,Learning environment,Student learning
Journal
Volume
Issue
ISSN
12
10.0
1424-8220
Citations 
PageRank 
References 
13
0.74
36
Authors
5
Name
Order
Citations
PageRank
Chia-Cheng Hsu1465.33
Hsin-Chin Chen2130.74
Yen-Ning Su3152.48
Kuo-Kuang Huang4130.74
Yueh-Min Huang5161.50