DocumentCode :
678947
Title :
Develop a reading tracking function on e-book reading system by using sensing and cloudized storage technologies
Author :
Chia-Hung Lai ; Yu-Lin Jeng ; Lu-Chun Pan ; Chia-Ju Liu ; Chia-Cheng Hsu ; Yueh-Min Huang ; Yen-Ning Su
Author_Institution :
Dept. of Eng. Sci., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
356
Lastpage :
360
Abstract :
Reading is an important task to enrich students´ knowledge and to enhance students´ ability and skills of learning and thinking. Moreover, reading is the well-known brain exercise which helps the brain to improve concentration, promotes empathy, and helps the brain to effectively construct links between neurons. If a person can often keep reading habits, reading is the best exercise to prevent loss of cognitive function in old age. With the advanced development of the Internet and the popularity of electron carriers, electronic books (e-books) have been as computer-aided tools to help students learn in the classroom teaching activities. Sensing and clouding storage technologies are used as tools to assist teachers in teaching students to understand the learning status and learning achievement. In general, reading mainly is divided into two phases, learning to read, and reading to learn. In order to understand the learning status of students, teachers observe the learning behavior of students and analyze their learning ability and skills to adjust the teaching strategies and teaching progresses for adaptive learning in classrooms. In order to help teachers effectively observe students´ learning, this study proposed a cloudized e-book reading rate tracking system (CERRTS) with an e-book learning environment and the proposed system includes the sensing technology of touch screen and the cloudized technology of storage. In order to verify the function of the proposed system, the study used a camera to record the learning status of students and to compare the reading rate of the system records and the reading rate of the camera recording. The results show that there is not significantly different between the system and the video. Moreover, the proposed system provided a friendly computer-assisted tool that helps instructors understand the learning status of students.
Keywords :
cloud computing; computer aided instruction; electronic publishing; image sensors; object tracking; teaching; CERRTS; brain exercise; camera recording; classroom teaching activities; cloudized e-book reading rate tracking system; cloudized storage technologies; cognitive function; computer-aided tools; computer-assisted tool; e-book reading system; electron carriers; electronic books; learning behavior; neurons; reading habits; reading rate; reading tracking function; sensing technologies; student ability; student knowledge; touch screen; video; Cameras; Educational institutions; Electronic publishing; Fingers; Psychology; Sensors; E-books; Reading rate; Readning process; Sensor technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensing Technology (ICST), 2013 Seventh International Conference on
Conference_Location :
Wellington
ISSN :
2156-8065
Print_ISBN :
978-1-4673-5220-8
Type :
conf
DOI :
10.1109/ICSensT.2013.6727674
Filename :
6727674
Link To Document :
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