Statistic Analysis of Examination Results and Examination Design Quality

Jin Sheng Yin

doi:10.4028/www.scientific.net/AMR.301-303.756

Paper Titles

An Improved Blind Multiuser Detector Algorithm Based on Subspace Tracking
p.737

Research and Development the Method of Transformer Winding Deformation Fault Diagnosis Based on FRA
p.742

Real-Time Detection of the Repose Angle of Solids in Rotating Drum Based on Image Processing
p.748

Measuring the Phthalates of Xiangjiang River Using Liquid-Liquid Extraction Gas Chromatography
p.752

Statistic Analysis of Examination Results and Examination Design Quality
p.756

Empirical Tests of Scale-Free Geometry in NASA DATA
p.762

Loading Priority Evaluation Based on PRISM Classifier
p.768

Optimal Placement of Phasor Measurement Units Based on Information Entropy Property Evaluation
p.774

Experimental Study of Static Aerodynamic Coefficients of Bridge Section
p.780

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 301-303Statistic Analysis of Examination Results and...

Statistic Analysis of Examination Results and Examination Design Quality

Abstract:

The analysis of examination results and design quality plays a vitally important role in teaching management, greatly helping teachers to perfect teaching, improve teaching quality and enhance proposition quality. Based on the final examination paper of Higher Mathematics (2) in the second term of 2009-2010 school year of Shandong Jiaotong University, this thesis makes a qualitative and quantitative analysis from the perspective of difficulty, discrimination and credibility, etc., concluding the indexes of the above factors in the exam paper. It then makes a rounded analysis of exam design quality and points out some problems in exam design, providing some beneficial enlightenment for future teaching.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 301-303)

Pages:

756-761

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.301-303.756

Citation:

Cite this paper

Online since:

July 2011

Authors:

Jin Sheng Yin

Keywords:

Coverage, Credibility, Difficulty, Discrimination

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Mark Warschauera and Deborah Healya. Computers and language learning: an overview. Language Teaching, 2009, (12), pp.57-71.

Google Scholar

[2] Li Zhuning, Statistical analysis and evaluation of exam paper quality , Journal of Teaching and Management, 2006, (12), pp, 60-62.

Google Scholar

[3] Gay, L.R. (1996) Educational Research: Competencies for Analysis and Application. Englewood Cliffs, New Jersey: Merrill, Prentice Hall.

Google Scholar

[4] Huang Guangyang, Educational measurement and evaluation, Shanghai: East China Normal University Press, 2002, pp, 48.

Google Scholar

[5] Yang Daiqing, Li Sheng, Liang Dian. Ways to analyze tests with SPSS. Journal Of Guizhou Educational College (Natural Sciences), 2005(4), pp, 75—78.

Google Scholar

[6] Yin Chuancun, Wei Chunmei. Statistcal Analysis to Quality of Examination Paper . Journal of Qufu Normal University. 2004(3), pp, 107-109.

Google Scholar

[7] Yang Lijun, Liu Minyu, Xue Hongmin. Research and Implementation of Exam Paper Quality Analysis System for Teaching Level Assessment in Universities and Colleges. Microelectronics and Computer. 2006(8), pp, I96—199.

Google Scholar