With the rapid development of distance learning and the XML technology, metadata play an
important role in e-Learning. Nowadays, many distance learning standards, such as SCORM,
AICC CMI, IEEE LTSC LOM and IMS, use metadata to tag learning materials. However,
most metadata models are used to define learning materials and test problems. Few metadata
models are dedicated to assessment. In this paper, the authors propose an assessment metadata
model for e-Learning operations. With support from assessment metadata, we can incorporate
measured aspects of the following list into the metadata description at the question cognition
level, the item difficulty index, the item discrimination index, the questionnaire style and the
question style. The assessment analysis model provides analytical suggestions for individual
questions, summary of test results and cognition analysis. Analytical suggestions provide
teachers information about why a question is not appropriate. Summary of test results improves
the teacher’s view of student learning status immediately. Items missing from the teaching
materials can be identified by cognition analysis. In this research, the authors propose an
enhanced metadata model and an implemented system based on our model. With metadata
support, metadata can help teachers in authoring examination.
Relation:
Journal of Computer Assisted Learning 20(4):305-316
