An Intelligent Test Paper Generating Algorithm Based on Maximum Coverage of Knowledge Points

DOI

10.2991/iccsee.2013.380How to use a DOI?

Keywords

maximum covarage of knowledge points (MCKP), knowledge hierarchy of CET-4,mastery rates ,testing frequencies, success rate,

Abstract

In order to keep up with the requirements of College English Diagnostic Test System developed by our team, after analyzing the pros and cons of current test paper generating algorithms, the MCKP algorithm, which is based on maximum coverage of knowledge points (MCKP), is proposed. In this paper, the knowledge hierarchy of College English Test (CET-4) of China is constructed to provide the foundation for MCKP. Then given three main parameters, including the required items number, the mastery rates of knowledge-point and the testing frequencies of knowledge points, the theory and implementation of the MCKP algorithm is elaborated. At last, experiments indicate relatively high success rate and effectiveness of test paper generating process. Therefore, MCKP algorithm can provide an essential improvement in test paper generating process.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Man Yang
AU  - Yinhuang Le
AU  - Hui Zhang
AU  - Min Wu
AU  - Nie Er
PY  - 2013/03
DA  - 2013/03
TI  - An Intelligent Test Paper Generating Algorithm Based on Maximum Coverage of Knowledge Points
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1511
EP  - 1514
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.380
DO  - 10.2991/iccsee.2013.380
ID  - Yang2013/03
ER  -