Methodology for the Analysis of Instructors’ Grading Discrepancies in a Laboratory Course

Title	Methodology for the Analysis of Instructors’ Grading Discrepancies in a Laboratory Course
Publication Type	Journal Article
Año de publicación	2006
Autores	Montero, JM, San-Segundo, R, Macias-Guarasa, J, Cordoba, R, Ferreiros, J
Idioma de publicación	English
Journal	International Journal of Engineering Education
Volumen	22
Número	5, part II
Páginas	1053-1062
Fecha de publicación	09/2006
Lugar de publicación	Irlanda
Editorial	TEMPUS Publications, Dublin Institute of Technology
Rank in category	12/22
JCR Category	EDUCATION, SCI. DISCIPLI
Palabras clave	automatic analysis of grades, biases in assessment, grading discrepancies, massive laboratories, project-based learning, software quality analysis
JCR Impact Factor	0.355
ISSN	0949-149X
Abstract	This paper introduces a new methodology to analyze grading discrepancies in PBL software-engineering courses with a high student-to-faculty ratio. The methodology is based on a quantitative analysis of the more relevant software features according to the grades assigned by each instructor. In order to reduce the discrepancies detected, a new grading consensus has to be built, and automatic analysis tools must assist the instructors when grading. The evaluation of the methodology in two academic years revealed a 62% reduction of the grading discrepancies, achieving an average inter-instructor discrepancy of 0.10 in a scale from 0 to 1.

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