ManuScript Details
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Paper Id:
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IJARW1525
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Title:
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SECURE INTELLIGENT ESSAY SCORING SYSTEM (SIESS) USING END-TO-END ENCRYPTION
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| Published in: |
International Journal Of All Research Writings |
| Publisher: |
IJARW |
| ISSN: |
2582-1008 |
| Volume / Issue: |
Volume 3 Issue 3 |
| Pages: |
17
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| Published On: |
9/28/2021 9:00:09 PM (MM/dd/yyyy) |
Main Author Details
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Name:
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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
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Research Area:
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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
Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.
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IEEE
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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.
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MLA
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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.
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APA
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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.
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SECURE INTELLIGENT ESSAY SCORING SYSTEM (SIESS) USING END-TO-END ENCRYPTION
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