P-charts in the quality control of the grading process in the high education

Mirko Savic

doi:10.2298/pan0603335s

Abstract

European countries are making efforts to change their educational system These changes include implementation of the ECTS (European Credit Transfer and Accumulation System) and are based on the Bologna Declaration. Adoption of ECTS will necessitate new quality standards in higher education especially in grading procedures. With only small modifications, the control charts(such as p-charts) used in production and distribution applications can be applied to educational purposes.

Highlights

European Credit Transfer and Accumulation System (ECTS) Grading ScaleWhat is quality? It is not easy to define quality, and a number of different definitions have been proposed
Statistical control p-charts were used at the faculty* to evaluate the existing grading process and to see if it is compatible with the European Credit Transfer and Accumulation System (ECTS) grading system
Many aspects of the educational system should be adjusted to ECTS requirements and improved

Summary

ECTS Grading Scale

What is quality? It is not easy to define quality, and a number of different definitions have been proposed. One definition that makes sense is fitness for use Another plausible definition of the word states that quality is the extent to which customers feel that a product or service exceeds their needs and expectations. In the realm of education, quality is the extent to which participants feel the educational and grading processes are corresponding to the specified requirements. The introduction of ECTS is based on the high quality of national education systems*: how to measure the quality of education in each country and how to attain defined standards. Students are given both a national (or sometimes local) grade and an ECTS grade. To control this process from the position of objectivity and ECTS standards, we can effectively use statistical control charts

Implementation of control charts in quality control

Empirical Results

Conclusion