Feedback and analysis from assessment metadata in e-learning

Ching Tang Hsieh, T. K. Shih, Wen Chih Chang, Wen Chieh Ko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 17th International Conference on Advanced Information Networking and Applications, AINA 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages155-158
Number of pages4
ISBN (Electronic)0769519067
DOIs
StatePublished - 2003
Event17th International Conference on Advanced Information Networking and Applications, AINA 2003 - Xi'an, China
Duration: 27 Mar 200329 Mar 2003

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
Volume2003-January
ISSN (Print)1550-445X

Conference

Conference17th International Conference on Advanced Information Networking and Applications, AINA 2003
Country/TerritoryChina
CityXi'an
Period27/03/0329/03/03

Keywords

  • Cognition
  • Computer aided instruction
  • Computer science
  • Education
  • Electronic learning
  • Feedback
  • Information analysis
  • Statistical analysis
  • System testing
  • XML

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