An Adaptive E-assessment Grading (aeag) Model for Performance Evaluation
نویسندگان
چکیده
Assessment is an integral part of learning and plays a significant role in education. Adaptive testing is a form assessment in which the tests are tailored to the individual’s ability. This paper presents an adaptive assessment system realized in PHP and MYSQL. The motivation was to investigate the techniques for the improvement of student assessment. The paper also focuses on adaptive grading methodology to effectively assess the examinee performance based on time, answering habits and the test results. An adaptive Eassessment grading (AEAG) model was proposed to overcome the limitations of the existing grading system. The model was analyzed using multivariate ANOVA discriminant analysis and it was observed that adaptive grading for E-Assessment was performing better than predefined grading.
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