An Automated Essay Grading Framework Based on Neural Networks.

Hassan, A. E.; Riad, A. M.; Shehab, A.

doi:10.21608/bfemu.2020.127110

An Automated Essay Grading Framework Based on Neural Networks.

Document Type : Research Studies

Authors

¹ Electrical Power Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

² Head of Information System Department., Faculty of Computer & Information Sciences., El-Mansoura University., Egypt.

³ Assistant Professor., Faculty of Computer & Information Sciences., El-Mansoura University., Mansoura., Egypt.

10.21608/bfemu.2020.127110

Abstract

This paper presents a proposed framework depending on Artificial Neural Networks (ANN) that enhances the process of assessing student's essays in order to save the line and cost of manual scoring of these essays. This framework consists of five phases and the UML model of that framework is defined. Also the activity diagrams of that system are explained. During the learning algorithm phase, the network trained on a set of pre-graded student responses by teachers and then a set of essays not used in the training are introduced to a 10 tie network to judge the essay. The proposed framework was tested on case study and presents good results compared 10 a previously published work using the same case study with another technique.

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