Publikationsrepositorium - Helmholtz-Zentrum Dresden-Rossendorf

This study aims to elucidate a soft computing approach for quantitative assessment of the 1
scoring grade or rubrics for students in an outcome based education system. The intended approach 2
resorts to a fuzzy membership based assessment of the different parameters of the scoring system, 3
thereby yielding a novel and humanly assessment technique. The selection of the membership 4
functions is based on the human behavior so as to make a realistic representation of the scoring 5
strategy. The novelty of the proposed strategy lies in assigning fuzzy membership based weighted 6
scores instead of simply assigning score bands to rubric categories, as is performed in normal rubrics 7
based assessment. Comparative results demonstrated on a case study of Indian education scenario 8
reveal the effectiveness of the proposed strategy over other fuzzy membership and normal rubrics 9
based assessment procedures.