TY - GEN

T1 - Applying Q-matrix based item relational structure theory to multiplications of fractions

AU - Liu, Hsiang Chuan

AU - Tsai, Hsien Chang

AU - Ou, Shang Ling

AU - Wu, Shih Neng

AU - Ou, Yih Chang

AU - Liu, Tung Sheng

PY - 2012/12/1

Y1 - 2012/12/1

N2 - For any given test, the traditional item relational structure theory can be used for detecting the item relational structure of the students. However, we do not know whether each item of the test is efficient or not, for improving above-mentioned drawback, we can first use the Q-matrix theory to obtain a validate test with all items which are efficient. In this paper, efficient items of the multiplications of fractions were constructed accordingly. Using Liu's before-test item structure theory, we can construct the efficient before-test item structural of the test. After testing the students, we can use the traditional item relational structure theory to construct the efficient after-test item structural of the students, and then, using Liu's criterion related validity index, we can evaluate the item relational structure of the test, and the results could be useful for cognitive diagnosis and remedial instruction.

AB - For any given test, the traditional item relational structure theory can be used for detecting the item relational structure of the students. However, we do not know whether each item of the test is efficient or not, for improving above-mentioned drawback, we can first use the Q-matrix theory to obtain a validate test with all items which are efficient. In this paper, efficient items of the multiplications of fractions were constructed accordingly. Using Liu's before-test item structure theory, we can construct the efficient before-test item structural of the test. After testing the students, we can use the traditional item relational structure theory to construct the efficient after-test item structural of the students, and then, using Liu's criterion related validity index, we can evaluate the item relational structure of the test, and the results could be useful for cognitive diagnosis and remedial instruction.

UR - http://www.scopus.com/inward/record.url?scp=84880975446&partnerID=8YFLogxK

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M3 - Conference contribution

AN - SCOPUS:84880975446

SN - 9788994364193

T3 - Proceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012

SP - 361

EP - 366

BT - Proceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012

T2 - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012

Y2 - 23 October 2012 through 25 October 2012

ER -