Title :
Intelligent test paper generation system based on slicing processing
Author :
Ma, Fengning ; Dong, Yao ; Shi, Jin ; Zhang, Ying
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Abstract :
Nowadays, paperless test is very popular in the universities. The classical test paper generating methods have not satisfied the increasing test requirement. So, an intelligent test paper generating algorithm based on the slicing processing is proposed, which classifies the indexes, such as the type and amount of questions, the knowledge point, difficulty and discrimination of the test paper, with the value type and flexible feature. The actual application indicates that the method has a balance between the success ratio and efficiency, and provides the theory evidence for the efficient intelligent test paper generation system.
Keywords :
computer aided instruction; educational institutions; knowledge based systems; classical test paper generating methods; flexible feature; intelligent test paper generating algorithm; intelligent test paper generation system; knowledge point; paperless test; slicing processing; success efficiency; success ratio; test requirement; theory evidence; university; value type; Artificial intelligence; Automation; Educational institutions; Indexes; Intelligent control; Process control; Tin; intelligent test paper generation; slicing strategy; test index;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6357932