TY - GEN
T1 - A discrete particle swarm optimization based approach for review course composition
AU - Lee, Ming Che
AU - Tsai, Kun Hua
AU - Wang, Tzone I.
PY - 2008
Y1 - 2008
N2 - In the present learning cycle, new knowledge learning and known knowledge review are two important learning processes. This paper proposes the review course composition system which adopts the discrete particle swarm optimization to quickly pick the suitable materials, and can be customized in accordance with the learner's intention. As a result, such a composition system satisfies the majority of learners with the customized review courses based on their needs.
AB - In the present learning cycle, new knowledge learning and known knowledge review are two important learning processes. This paper proposes the review course composition system which adopts the discrete particle swarm optimization to quickly pick the suitable materials, and can be customized in accordance with the learner's intention. As a result, such a composition system satisfies the majority of learners with the customized review courses based on their needs.
UR - http://www.scopus.com/inward/record.url?scp=57849110488&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57849110488&partnerID=8YFLogxK
U2 - 10.1109/ICCIT.2008.77
DO - 10.1109/ICCIT.2008.77
M3 - Conference contribution
AN - SCOPUS:57849110488
SN - 9780769534077
T3 - Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
SP - 639
EP - 644
BT - Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
T2 - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
Y2 - 11 November 2008 through 13 November 2008
ER -