TY - JOUR
T1 - Facilitating E-learning with a MARC to IEEE LOM metadata crosswalk application
AU - Cao, Yang
AU - Lin, Fuhua
AU - McGreal, Rory
AU - Schafer, Steve
AU - Friesen, Norm
AU - Tin, Tony
AU - Anderson, Terry
AU - Kariel, Doug
AU - Powell, Brian
AU - Anderson, Margaret
PY - 2004
Y1 - 2004
N2 - E-learning has the potential to provide the flexibility and wider access that is required for lifelong learning, but creating the digital resources needed for online course delivery requires a considerable investment and substantial effort. There are some pre-existing learning objects available for reuse in the design of educational events. However, supplying the metadata for each standard becomes repetitious, time-consuming, and tedious because of the diversity of learning objects, and the continuing growth in the number, size, and complexity of the content metadata standards. In order to minimize the amount of time needed to create and maintain the metadata and to maximize its usefulness to the widest possible community of users, there is a demand for developing crosswalks between different metadata standards. This paper introduces a crosswalk development that converts MARC (MAchine-Readable Cataloging) metadata to IEEE LOM (Learning Object Metadata) and investigates the issues involved in the crosswalk development.
AB - E-learning has the potential to provide the flexibility and wider access that is required for lifelong learning, but creating the digital resources needed for online course delivery requires a considerable investment and substantial effort. There are some pre-existing learning objects available for reuse in the design of educational events. However, supplying the metadata for each standard becomes repetitious, time-consuming, and tedious because of the diversity of learning objects, and the continuing growth in the number, size, and complexity of the content metadata standards. In order to minimize the amount of time needed to create and maintain the metadata and to maximize its usefulness to the widest possible community of users, there is a demand for developing crosswalks between different metadata standards. This paper introduces a crosswalk development that converts MARC (MAchine-Readable Cataloging) metadata to IEEE LOM (Learning Object Metadata) and investigates the issues involved in the crosswalk development.
UR - http://www.scopus.com/inward/record.url?scp=9444219697&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-24677-0_76
DO - 10.1007/978-3-540-24677-0_76
M3 - Conference article
AN - SCOPUS:9444219697
SN - 0302-9743
VL - 3029
SP - 739
EP - 748
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004
Y2 - 17 May 2004 through 20 May 2004
ER -