SCORM-COMPLIANT LEARNING SYSTEM WITH ANNOTATION CAPABILITY - POWER RTE

Dowming Yeh, Han-Yung Yang, Wen-Shen Liu

2006

Abstract

SCORM (Sharable Content Object Reference Model) standard simply records learner’s evaluation grade and traces their learning path. However, learning portfolios contain not only learner’s evaluation grade and the browsing sequence of their learning contents, but also annotations which the learner add onto learning objects, for example: comments, highlighting marks, digests, and so on. Therefore, a popular open source SCORM-compliant browser－ADL Sample RTE only records grades for pre-test/post-test and learning path, lacking the capability of storing annotation information. This research applies software reengineering techniques to enhance ADL Sample RTE so that learner can store annotation information with the enhanced version. The software Reengineering process is divided into three phases. Static analysis is performed first to dissect the system architecture, followed by dynamic analysis, which is proceeded interactively through web fronts to understand how various dynamic pages startup. Finally, annotation functionality is added in system reconstruction phase. The outcome of the reengineering process is called Power RTE. Besides its annotation power, Power RTE also enables sharing annotations among its users; therefore, learning objects with annotation information could be reused on this e-Learning platform.

References

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Paper Citation


in Harvard Style

Yeh D., Yang H. and Liu W. (2006). SCORM-COMPLIANT LEARNING SYSTEM WITH ANNOTATION CAPABILITY - POWER RTE . In Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-972-8865-47-4, pages 383-386. DOI: 10.5220/0001243003830386


in Bibtex Style

@conference{webist06,
author={Dowming Yeh and Han-Yung Yang and Wen-Shen Liu},
title={SCORM-COMPLIANT LEARNING SYSTEM WITH ANNOTATION CAPABILITY - POWER RTE},
booktitle={Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2006},
pages={383-386},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001243003830386},
isbn={978-972-8865-47-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - SCORM-COMPLIANT LEARNING SYSTEM WITH ANNOTATION CAPABILITY - POWER RTE
SN - 978-972-8865-47-4
AU - Yeh D.
AU - Yang H.
AU - Liu W.
PY - 2006
SP - 383
EP - 386
DO - 10.5220/0001243003830386