Regression Analysis on the Evaluation Index for Undergraduate's Grades in C Language

Quan Jie

doi:10.4028/www.scientific.net/AMR.271-273.270

Paper Titles

A De-Noising Algorithm for ECG Signals Based on FIR Filter and Wavelet Transform
p.247

Discretization of Attributes Based on Relative Positive Region of Decision Attribute
p.253

Hybrid Decoding Algorithm for LDPC Codes with Circles
p.258

Oilfield Digital Management Innovation and Practice
p.264

Regression Analysis on the Evaluation Index for Undergraduate's Grades in C Language
p.270

Study of Computer Aided History Matching Technology
p.275

Ontology-Based Knowledge Representation Model for E-Government
p.281

Research on the Characteristics of Undergraduate Curriculum for Networks Engineering
p.285

Bacterial Foraging Algorithm Based Image Fusion in Contourlet Domain
p.291

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 271-273Regression Analysis on the Evaluation Index for...

Regression Analysis on the Evaluation Index for Undergraduate's Grades in C Language

Abstract:

In order for undergraduates to master basic skills of computer technology, the grades in C language be evaluated as the important indicator of the level of a college computer basic education. This paper exploits the data from a cohort of the Jianghan University undergraduates to explore the extent to which the impacts of the evaluation index are specific to grades in C language. Using regression techniques, the paper tries to provide some references for colleges to improve the basic education of computer.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 271-273)

Pages:

270-274

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.271-273.270

Citation:

Cite this paper

Online since:

July 2011

Authors:

Quan Jie

Keywords:

Evaluation Index, Grades in C Language, Regression Analysis

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] D. Freedman: Statistics. New York: W.W. Norton (1998).

Google Scholar

[2] Tsai-Yen Li, Hao-Chuan Wang, Chun-Yen Chang: Assessing Creative Problem-solving with Automated Text Grading. Computers & Education, Vol. 51, Issue 4, pp: 1450-1466, (2008).

DOI: 10.1016/j.compedu.2008.01.006

Google Scholar

[3] J. Randall, G. Engelhard: Examining the Grading Practices of Teachers. Teaching and Teacher Education, Vol. 26, Issue 7, October 2010, pp: 1372-1380.

DOI: 10.1016/j.tate.2010.03.008

Google Scholar

[4] C.L. DeBerg, J.R. Wilson: An Empirical Investigation of the Potential Confounding Variables in Student Evaluation of Teaching. Journal of Accounting Education, Volume 8, Issue 1, Spring 1990, pp: 37-62.

DOI: 10.1016/0748-5751(90)90019-4

Google Scholar

[5] K. Ahmad: Computers, Language Learning and Language Teaching. Cambridge: Cambridge University Press. (1985).

Google Scholar

[6] R. J. Stapleton, G. Murkison: Optimizing the Fairness of Student Evaluations: A Study of Correlations between Instructor Excellence, Study Production, Learning Production, and Expected Grades. Journal of Management Education; Jun 2001, 25, 3, pp: 269-291.

DOI: 10.1177/105256290102500302

Google Scholar