TY - GEN
T1 - A personalized genetic algorithm approach for test sheet assembling
AU - Gu, Peipei
AU - Niu, Zhendong
AU - Chen, Xuting
AU - Chen, Wei
PY - 2011
Y1 - 2011
N2 - In recent years, computer-aided test-sheet composition has become an effective method to evaluate students' learning level. To meet the needs of personalized test-sheet assembling for every student, a new test-sheet construction model is proposed. Based on the model, a personalized genetic algorithm (PGA) is proposed to assemble appropriate test sheets for individual students according to their different levels in mastered concepts of subjects. The proposed approach incorporates personalized information as preference gene bit into the crossover operator of genetic algorithm and fitness function, so as to select more non-mastered questions in the final test. In the experiments, the proposed algorithm was applied to assemble a series of items for students and the results demonstrate that the proposed approach is capable of effectively assembling personalized test sheets that meet the needs of different students and achieve good performance.
AB - In recent years, computer-aided test-sheet composition has become an effective method to evaluate students' learning level. To meet the needs of personalized test-sheet assembling for every student, a new test-sheet construction model is proposed. Based on the model, a personalized genetic algorithm (PGA) is proposed to assemble appropriate test sheets for individual students according to their different levels in mastered concepts of subjects. The proposed approach incorporates personalized information as preference gene bit into the crossover operator of genetic algorithm and fitness function, so as to select more non-mastered questions in the final test. In the experiments, the proposed algorithm was applied to assemble a series of items for students and the results demonstrate that the proposed approach is capable of effectively assembling personalized test sheets that meet the needs of different students and achieve good performance.
KW - computer-aided testing
KW - online testing systems
KW - personalized genetic algorithm
KW - test assembling
KW - test-sheet composition problem
UR - http://www.scopus.com/inward/record.url?scp=84863179716&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-25813-8_18
DO - 10.1007/978-3-642-25813-8_18
M3 - Conference contribution
AN - SCOPUS:84863179716
SN - 9783642258121
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 164
EP - 173
BT - Advances in Web-Based Learning, ICWL 2011 - 10th International Conference, Proceedings
T2 - 10th International Conference on Advances in Web-Based Learning, ICWL 2011
Y2 - 8 December 2011 through 10 December 2011
ER -