Abstract: This paper aims to analyse exam questions over four academic years in three colleges, to know levels of learning in final examination questions according to Bloom's levels of knowledge. The paper method used is quantitative and qualitative approach and content analysis. To collect the data, this study used documentation , 2318 questions were examined, taken from 110 final exams papers and from different levels, and the exam of the same course must be in all four years or three years at least , from 2015-2018. The analysis was carried out according to Bloom's classification of cognitive levels (knowledge - comprehension - application - analysis - synthesis - evaluation). There are two evaluation performed on this data. The first evaluation done by the experts and the second is electronic evaluation. The questions were distributed on all levels, but in different proportions, and the results were the following: The level of knowledge ranked first with 62.5%, the level of application in the second rank with 18.1%, and the level of comprehension in the third rank by 12.6%, while the percentage of the level of analysis was 3.9%, which is the fourth rank, and the level of evaluation was in the fifth rank by 1.6%, and the percentage of the level of synthesis was in the last rank. By 1.3%. There are no significant differences in the sample of the study in the level of knowledge between expert assessment and electronic assessment which is 0.49% , as well as there is no statistically significant differences in the level of comprehension which is 0.40%, and there is no statistical significance at the application level which is 0.84%, and there is no statistical significance at the level of analysis which 4.17%, and there are no statistical differences at the level of synthesis which is 2.22%, and there are no statistically significant differences in the evaluation level which is 3.85%.
Keywords: Bloom’s Taxonomy, Exam, Natural Language Processing.
Works Cited:
Adlan Balola Ali, Al shefa Abd algadir Hassan, Omar Balola Ali "Electronic Evaluation of Quality of Exams' Questions Written in Arabic Language Based on Bloom’s Taxonomy", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 8, pp. 50-61, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.12806
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DOI:
10.17148/IJARCCE.2023.12806
