TY - GEN
T1 - Grid learning management system with role-based access control
AU - Somasundaram, Thamarai Selvi
AU - Manimalar, Priyaadharshini
AU - Kannan, G.
AU - Kumar, Vive
AU - Sidhan, Mohan
PY - 2009
Y1 - 2009
N2 - This paper proposes a Grid-based Learning Management System (GLMS) framework as a global approach to E-Iearning. In spite of its potential, present day instruction and learning through online media is highly localized. Being local, the material used by the educational institution for instruction quickly becomes stagnated. Further, the institution tends to overlook quality materials that are available elsewhere. In addressing these key shortcomings, GLMS a) recognizes course content in terms of its geographically distributed units (aka, learning objects), b) associates cross-institutional instructional processes to learning objects, and c) ensures security, privacy, and authenticity for the use of learning objects. We borrow established techniques from Grid Computing to achieve these three goals. Other benefits that we anticipate from GLMS include distributed resource sharing, heterogeneous learning objects for adaptive learning, scalability of learning objects, discovery of resources, learner modeling and security management. This paper discusses Grid-based access control and how we plan to employ them in an LMS.
AB - This paper proposes a Grid-based Learning Management System (GLMS) framework as a global approach to E-Iearning. In spite of its potential, present day instruction and learning through online media is highly localized. Being local, the material used by the educational institution for instruction quickly becomes stagnated. Further, the institution tends to overlook quality materials that are available elsewhere. In addressing these key shortcomings, GLMS a) recognizes course content in terms of its geographically distributed units (aka, learning objects), b) associates cross-institutional instructional processes to learning objects, and c) ensures security, privacy, and authenticity for the use of learning objects. We borrow established techniques from Grid Computing to achieve these three goals. Other benefits that we anticipate from GLMS include distributed resource sharing, heterogeneous learning objects for adaptive learning, scalability of learning objects, discovery of resources, learner modeling and security management. This paper discusses Grid-based access control and how we plan to employ them in an LMS.
KW - Access control
KW - Adaptive learning
KW - Component
KW - E-learning
KW - Grid computing
KW - LMS
UR - http://www.scopus.com/inward/record.url?scp=77949388274&partnerID=8YFLogxK
U2 - 10.1109/ICADVC.2009.5378193
DO - 10.1109/ICADVC.2009.5378193
M3 - Published Conference contribution
AN - SCOPUS:77949388274
SN - 9781424447862
T3 - 2009 1st International Conference on Advanced Computing, ICAC 2009
SP - 167
EP - 171
BT - 2009 1st International Conference on Advanced Computing, ICAC 2009
T2 - 2009 1st International Conference on Advanced Computing, ICAC 2009
Y2 - 13 December 2009 through 15 December 2009
ER -