Linear programming model for distribution of test allocation marks

Abstract

Test and examination questions are very important to educators to determine the quality of learning process. Thus, a good tool which might give correct and exact evaluation to the test and examination questions is needed and very important to the educational process. This paper presents a model to assist mathematics lecturers in preparing test questions. The objective of this study is to allocate the optimal marks for each subject in each chapter by satisfying the requirements of Bloom’s taxonomy. Linear programming method is used in developing the model to determine and analyze the appropriate percentage of questions in each subtopic. The results show that the optimal distributions of allocation marks are obtained for each subtopic and at the same time it satisfies the requirements of percentage of complexity cognitive levels in Bloom’s taxonomy.