@inproceedings{4256f7a0bce54b399b6daf459a4ce104,
title = "Feedback and analysis from assessment metadata in e-learning",
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 = "Cognition, Computer aided instruction, Computer science, Education, Electronic learning, Feedback, Information analysis, Statistical analysis, System testing, XML",
author = "Hsieh, {Ching Tang} and Shih, {T. K.} and Chang, {Wen Chih} and Ko, {Wen Chieh}",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 17th International Conference on Advanced Information Networking and Applications, AINA 2003 ; Conference date: 27-03-2003 Through 29-03-2003",
year = "2003",
doi = "10.1109/AINA.2003.1192860",
language = "???core.languages.en_GB???",
series = "Proceedings - International Conference on Advanced Information Networking and Applications, AINA",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "155--158",
booktitle = "Proceedings - 17th International Conference on Advanced Information Networking and Applications, AINA 2003",
}