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
Link To Document :
بازگشت