TY - JOUR
T1 - Extending E-books with annotation, online support and assessment mechanisms to increase efficiency of learning
AU - Wang, Chin Yeh
AU - Chen, Gwo Dong
PY - 2004/9
Y1 - 2004/9
N2 - The Internet and web environment allow readers to read online many multimedia books Readers can annotate, collaborate, and discuss content using efficient reading functions. Reading is migrating from printed books to e-books, This study designs an online reading environment with a wide range of support to increase students' learning performance, Online knowledge and human resources are used to answer directly students' queries. Students' annotating behaviors are analyzed as to help them understand the results of their learning earlier on. Experimental results reveal the extent to which students' reading behaviors shift from the printed book to this system using online reading time analysis. Data and questionnaire results show that students think that the system is conveniently and efficiently for them to annotate and propose query strings to knowledge repository and to discussion forum. In assessing reading performance, analysis of students' annotation results can forecast examination grades with 75.5% accuracy. Such analysis helps teachers and students to increase teaching and learning efficiencies.
AB - The Internet and web environment allow readers to read online many multimedia books Readers can annotate, collaborate, and discuss content using efficient reading functions. Reading is migrating from printed books to e-books, This study designs an online reading environment with a wide range of support to increase students' learning performance, Online knowledge and human resources are used to answer directly students' queries. Students' annotating behaviors are analyzed as to help them understand the results of their learning earlier on. Experimental results reveal the extent to which students' reading behaviors shift from the printed book to this system using online reading time analysis. Data and questionnaire results show that students think that the system is conveniently and efficiently for them to annotate and propose query strings to knowledge repository and to discussion forum. In assessing reading performance, analysis of students' annotation results can forecast examination grades with 75.5% accuracy. Such analysis helps teachers and students to increase teaching and learning efficiencies.
KW - Annotation
KW - Learning support network
KW - Mark
KW - Performance prediction
KW - e-book reading
UR - http://www.scopus.com/inward/record.url?scp=33646876628&partnerID=8YFLogxK
U2 - 10.1145/1026487.1008032
DO - 10.1145/1026487.1008032
M3 - 會議論文
AN - SCOPUS:33646876628
SN - 0097-8418
VL - 36
SP - 132
EP - 136
JO - SIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education)
JF - SIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education)
IS - 3
T2 - ITiCSE 2004 - 9th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education
Y2 - 28 July 2004 through 30 July 2004
ER -