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Feedback and Analysis from Assessment Metadata in E-Learning
Xi?an, China March 27-March 29
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2003.119286017 th International Conference on Adv ...
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Ching-Tang Hsieh, Tamkang University
Timothy K. Shih, Tamkang University
Wen-Chih Chang, Tamkang University
Wen-Chieh Ko, Tamkang University
With fast development in e-learning,assessment plays an important role between teaching and learning. A good e-learning system is not only with good teaching strategy and better learning resources but also proper assessment model. In this paper, we proposed an assessment meta-data and assessment analysis feedback for recently e-learning environments. There are several proper feedback for teachers, students, and learning management systems. The feedback could provide proper teaching, learning resource delivering and learning progress suggestions. With the approach, assessment prompts the learning effort in e-learning.
Index Terms:
cognition level, Item Discrimination Index, Item Difficulty Index, questionnaire, Assessment Analysis Model
Citation:
Ching-Tang Hsieh, Timothy K. Shih, Wen-Chih Chang, Wen-Chieh Ko, "Feedback and Analysis from Assessment Metadata in E-Learning," aina, pp.155, 17 th International Conference on Advanced Information Networking and Applications (AINA'03), 2003
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