DocumentCode
3371374
Title
Feedback and analysis from assessment metadata in e-learning
Author
Hsieh, Ching-Tang ; Shih, Timothy K. ; Chang, Wen-Chih ; Ko, Wen-Chieh
Author_Institution
Dept. of Electr. Eng., Tamkang Univ., Tamsui, Taiwan
fYear
2003
fDate
27-29 March 2003
Firstpage
155
Lastpage
158
Abstract
With fast development in e-learning, assessment plays an important role between teaching and learning. A good e-learning system has not only good teaching strategy and better learning resources but also a proper assessment model. In this paper, we propose an assessment meta-data and assessment analysis feedback for recent e-learning environments. There is proper feedback for teachers, students, and learning management systems. The feedback could provide proper teaching, learning resource delivery and learning progress suggestions. With this approach, assessment prompts the learning effort in e-learning.
Keywords
computer aided instruction; distance learning; document delivery; meta data; teaching; assessment analysis model; assessment meta-data; cognition level; e-learning; feedback; item difficulty index; item discrimination index; learning management systems; learning progress suggestions; learning resource delivery; questionnaire; teaching; Cognition; Computer aided instruction; Computer science; Education; Electronic learning; Feedback; Information analysis; Statistical analysis; System testing; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications, 2003. AINA 2003. 17th International Conference on
Print_ISBN
0-7695-1906-7
Type
conf
DOI
10.1109/AINA.2003.1192860
Filename
1192860
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