Automated students arabic essay scoring using trained neural network by e-jaya optimization to support personalized syst

  • PDF / 880,225 Bytes
  • 17 Pages / 439.642 x 666.49 pts Page_size
  • 38 Downloads / 151 Views

DOWNLOAD

REPORT


Automated students arabic essay scoring using trained neural network by e-jaya optimization to support personalized system of instruction Marwa M. Gaheen1 · Rania M. ElEraky2,3 · Ahmed A. Ewees1 Received: 15 May 2020 / Accepted: 31 July 2020 / © Springer Science+Business Media, LLC, part of Springer Nature 2020

Abstract A personalized system of instruction is one of the strategies to personalize instruction. It is a technique that allows the student to move from one unit to another according to his own pace and his potential. Although this system is distinguished with activity and effectiveness to master the instructional subject, it lacks evaluation of the essay questions automatically. Automated essay scoring is the operation of scoring written essays by computer programs. It has been widely used in recent years. In this paper, a proposed method is presented to automatically grade students’ Arabic essays to support personalized systems of instruction. It uses the elitist-Jaya (e-Jaya) optimization algorithm to train the classic artificial neural network (called eJaya-NN). The proposed method is tested over 240 student’s essays. The essays are graded by two human experts in the fields then they are fed to a pre-processing phase to be converted to a digit’s matrix. The results are evaluated using different measures and it is compared with some optimization algorithms. The eJaya-NN outperformed all compared algorithms and achieved the best values. Its correlation with the scores of the human experts equals 0.92 which indicates that the proposed method produces acceptable scores for the Arabic essay compared to the human experts and can effectively increase the features of personalized systems of instruction. Keywords Student essay scoring · Personalized system of instruction · Natural language processing · Neural network · E-Jaya optimization · Motivational strategy

 Ahmed A. Ewees

[email protected] 1

Department of Computer, Damietta University, Damietta, Egypt

2

University of Bisha, Bisha 61922, Saudi Arabia

3

Department of Curricula and Teaching Methods, Faculty of Specific Education, Damietta University, Damietta, Egypt

Educational and Information Technologies

1 Introduction Many countries seek the development of teaching methods realizing its importance in achieving the goals of education to cope with the technical progress and information explosion. This requires proper preparation of the student to be capable of self-learning. Herein, the instructor bears a great responsibility that exceeds the indoctrinate role. In order to highly achieve his instructional goals, the instructor has to follow teaching skills represented in planning, execution, and evaluation. Evaluation is considered the final important step to determine how far different learning outputs are fulfilled. In the light of that, people working in the field of education call for the necessity for making the student’s role an active and a positive participant one in his learning. There is a need to urge the student to be able to acquir