Manuscript Details - IJARW1525

ManuScript Details
Paper Id: IJARW1525
Title: SECURE INTELLIGENT ESSAY SCORING SYSTEM (SIESS) USING END-TO-END ENCRYPTION
Published in: International Journal Of All Research Writings
Publisher: IJARW
ISSN: 2582-1008
Volume / Issue: Volume 3 Issue 3
Pages: 17
Published On: 9/28/2021 9:00:09 PM      (MM/dd/yyyy)
Main Author Details
Name: Madubuezi Christian Okoronkwo
Institute: , Department of Computer Science, Michael Okpara University of Agricultural, Umudike.
Co - Author Details
Author Name Author Institute
Caroline Ngozi Asogwa COMPUTER SCIENCE DEPT
Nwuorgu Raymond COMPUTER SCIENCE DEPT
Abstract
Research Area: Computer Science & Engineering
KeyWord: Cryptography, Encryption, Automated Scoring System, Natural Language Processing
Abstract: The study addressed the issues associated with the conventional grading which can be biased, prone to human error and usage of inefficient scoring attributes as well as subjectivity in essays grading. The research work has been able to demonstrate the effort of Natural Language processing (NLP) in developed Secure Intelligent Essay Scoring System (SIESS). Natural language processing is concerned with utilization of knowledge of Computer Science. The essay scoring apply several methods, a Holistic, Analytic and Primary trait. The method used for this was combining the holistic and analytic method. The study made use of an online platform called kaggle.com used for a pre-build model as a python library. Also, the essay scoring system was evaluated using the confusion matrix majorly the accuracy metric which is specifically recommended for machine learning algorithm (Naïve Bayes, Linear Regression and Gradient Boosting). The Gradient Boosting was best approach essay scoring pre-built model prediction. Datasets in excel template were equally collected in the domain such as operating system, expert system, database management, data structure and algorithm. SQLite as the database management system was used for data storage. The system was tested in a local hosting architecture capable of running online too. The entire system is summarized in three concepts. Mechanism of teachers, students and automatic registration.
Citations
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IEEE
Madubuezi Christian Okoronkwo, Caroline Ngozi Asogwa, Nwuorgu Raymond, "SECURE INTELLIGENT ESSAY SCORING SYSTEM (SIESS) USING END-TO-END ENCRYPTION", International Journal Of All Research Writings, vol. 3, no. 3, pp. 11-27, 2021.
MLA Madubuezi Christian Okoronkwo, Caroline Ngozi Asogwa, Nwuorgu Raymond "SECURE INTELLIGENT ESSAY SCORING SYSTEM (SIESS) USING END-TO-END ENCRYPTION." International Journal Of All Research Writings, vol 3, no. 3, 2021, pp. 11-27.
APA Madubuezi Christian Okoronkwo, Caroline Ngozi Asogwa, Nwuorgu Raymond (2021). SECURE INTELLIGENT ESSAY SCORING SYSTEM (SIESS) USING END-TO-END ENCRYPTION. International Journal Of All Research Writings, 3(3), 11-27.
SECURE INTELLIGENT ESSAY SCORING SYSTEM (SIESS) USING END-TO-END ENCRYPTION
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Last downloaded on 02/10/2021
SECURE INTELLIGENT ESSAY SCORING SYSTEM (SIESS) USING END-TO-END ENCRYPTION

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