TY - GEN
T1 - A novel genetic algorithm for test sheet assembling problem in learning cloud
AU - Tseng, Shih Pang
AU - Chung, Long Yeu
AU - Huang, Po Lin
AU - Chiang, Ming Chao
AU - Yang, Chu-Sing
PY - 2014/2/17
Y1 - 2014/2/17
N2 - The assessment is the most effectively tool for the teachers to realized the learning status of the learners. The test sheet assembling is an important job in the E-learning. In the future learning cloud environment, the large amount of items would be aggregated into the itembank from various sources. The test sheet assembling algorithm should be with the ability of abstract the needed information directly from the items. This paper proposed an effective method based on genetic algorithm to solve the test sheet assembling problem. The experimental result shows the effectiveness of the proposed method.
AB - The assessment is the most effectively tool for the teachers to realized the learning status of the learners. The test sheet assembling is an important job in the E-learning. In the future learning cloud environment, the large amount of items would be aggregated into the itembank from various sources. The test sheet assembling algorithm should be with the ability of abstract the needed information directly from the items. This paper proposed an effective method based on genetic algorithm to solve the test sheet assembling problem. The experimental result shows the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=84893771414&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893771414&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-7262-529
DO - 10.1007/978-94-007-7262-529
M3 - Conference contribution
AN - SCOPUS:84893771414
SN - 9789400772618
T3 - Lecture Notes in Electrical Engineering
SP - 247
EP - 255
BT - Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
T2 - Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
Y2 - 23 August 2013 through 25 August 2013
ER -