The paper entitled “An Ensemble-Based Model to Improve the Accuracy of Automatic Short Answer Grading" proposed an automated system that evaluates the student answers and gives it an accurate grade automatically according to a given model answer to these questions without the participation of any manual evaluator, which is very useful especially after COVID-19 pandemic when most of the quizzes, assignments, and exams became online. The Hybrid model that is implemented in this paper was capable enough to score high results compared to much more complex models that have been applied on the same Dataset which is the “Texas Data Structure” Dataset.
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