Abstract

Abstract The main objective of the study is to identify methods and algorithms for the dynamic generation of test cases, based on an analysis of students’ academic performance using methods based on neural networks. Using these methods will help to provide a flexible approach in adapting control options to an individual level of knowledge, which in turn will allow the teacher to receive a more representative assessment of student knowledge, in accordance with the sections of the course being studied.

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