A novel genetic algorithm for test sheet assembling problem in learning cloud

Shih Pang Tseng, Long Yeu Chung, Po Lin Huang, Ming Chao Chiang, Chu-Sing Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
Pages247-255
Number of pages9
DOIs
Publication statusPublished - 2014 Feb 17
EventAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 - , Taiwan
Duration: 2013 Aug 232013 Aug 25

Publication series

NameLecture Notes in Electrical Engineering
Volume260 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

OtherAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
CountryTaiwan
Period13-08-2313-08-25

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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