IMPROVING STUDENT PRODUCTIVITY THROUGH A WEB SUBMISSION FRAMEWORK WITH A P LAGIARISM DETECTOR IMPLEMENTATION

Adaramola Ojo Jayeola, Adaramola Ojo Jayeola and Olasina, J.R (2020) IMPROVING STUDENT PRODUCTIVITY THROUGH A WEB SUBMISSION FRAMEWORK WITH A P LAGIARISM DETECTOR IMPLEMENTATION. In: 2nd International Conference, Virtual, 10th – 11th Nov., 2020, The Federal Polytechnic, Ilaro.

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Abstract

The current rapid adoption of information and communication technology in virtual learning around the world due to the outbreak of infectious diseases that spread around the globe needs the creation of a model that will boost student productivity, which will encourage appropriateness and timely submission and also add originality to the assignment at their disposal. The model would further reduce printing costs, remove the manual process, and also allow the examiner to retain the repository of all assignment submissions. The research framework is divided into three sections: the first section allows students to sign up securely to the system via the internet; the second section allows students to upload and send their assignments via a plagiarism checker; and the last section allows the administrator to add students, add classes and show submitted assignments. The implementation of this design is based on carefully selected 3-tier architecture models: a client running Windows operating system, the application server built with Hypertext Makeup Language (HTML), Cascading Style Sheet (CSS), and the Hypertext Preprocessor (PHP), and database server built with MySQL. However, the creation and implementation of this web submission framework with plagiarism detector would promote the systematic collection of assignments, enhance originality, and further increase student productivity.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Application Server, Assignment Submission, Database Server, Framework, Virtual Learning.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Joy Oluwabukola Olayiwola
Date Deposited: 15 Jun 2021 09:29
Last Modified: 15 Jun 2021 09:29
URI: http://eprints.federalpolyilaro.edu.ng/id/eprint/1670

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