Statistical Grading System - A New Approach

By Ashok Shettar, Basavaraj Kakol and Narasimha Ayachit.

Published by Journal of the World Universities Forum

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Article: Print $US10.00
Article: Electronic $US5.00

Statistical grades are statements of relative quality, which depicts the quality of the student’s work in relation to similar students and to what might reasonably to expect of them, that determines his/her grades. In view of this, the grading system is preferred over the marking system. Of course the grading system removes several anomalies; however in developing countries like India, grading system is still a foreign language to most of the stake holders including teachers who play a very important role. The autonomy enjoyed by each teacher in grading a student apart from integrity also need the ability to change over from marking system to grading system. The method has to evolve itself. Thus, it is expected that several discrepancies may appear at initial stages, which may hamper the career of a student. The grading system which is statistical in nature will apply and found efficient for the normal distribution of marks. Any variations from this, which may appear because of less number of students, the teacher, play a very important role in grading. The methodology adopted not only need to be transparent but also justifiable. However, in case of large number of students, if anomaly appears then it will be basically because of some other reasons like discrepancy in question paper, method of evaluation etc. i.e. if the distribution although Gaussian in nature, it will be shifted from the expected mean or skewed one. In such cases, there is a necessity of looking in to the methodology adopted. In the presentation proposed, apart from being addressing the problems associated, a new methodology is proposed to overcome them. The method was applied to a large number of cases and has been shown working reasonably well.

Keywords: Statistical Grades, Gaussian Distribution

Journal of the World Universities Forum, Volume 2, Issue 3, pp.53-66. Article: Print (Spiral Bound). Article: Electronic (PDF File; 1.229MB).

Dr. Ashok Shettar

Principal, B.V.B. College of Engineering & Technology, Hubli 580 031, Hubli, Karnataka, India

Dr. Ashok Shettar is a Professor of Civil Engineering. He did his doctoral degree in the area of water resource engineering. Apart from water engineering, his other areas of research interests are strategic planning and institutional development, total quality management in education and industry-institution-society interaction in regional development. He has a teaching experience of more than 26 years and has worked on the various academic committees of different universities. Presently, he is the Principal of KLE Society’s, B.V.B. College of Engineering & Technology, Hubli, Karnataka, India.

Basavaraj Kakol

Assistant Professor, Department of Industrial & Production Engineering, B.V.B. College of Engineering & Technology, Hubli 580 031, Hubli, Karnataka, India

Mr B.S. Kakol has his Masters degree in Production Engineering. He has a teaching experience of 15 years and carrying out research in the area of Robotics. He is also working in the area of technical education. Presently he is Asst. Professor in the department of Industrial & Production Engineering at KLE Society’s, B.V.B. College of Engineering & Technology, Hubli, Karnataka, India

Dr. Narasimha Ayachit

Professor of Physics, Center for Engineering Education & Education Research, B.V.B. College of Engineering & Technology, Hubli 580 031, Hubli, Karnataka, India

Dr. N.H. Ayachit has his Doctoral degree in Physics. He has a teaching experience of 23 years and he carrying out his research in the areas of technical education, microwaves, spectroscopy etc. Presently he is Professor in the department of Physics at KLE Society’s, B.V.B. College of Engineering & Technology, Hubli, Karnataka, India.

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