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An Online Self-Assessment Feature for An Enhanced CrsMgr System

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An Online Self-Assessment Feature for An Enhanced CrsMgr System

Navale, Reethu (2022) An Online Self-Assessment Feature for An Enhanced CrsMgr System. Masters thesis, Concordia University.

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Abstract

The current pandemic has led to the use of online teaching and calls for the introduction of innovative self-learning techniques. Since contacts with educators are limited, students are required to become more self-reliant, and this includes the use of a self-assessment quiz to provide a measure of the learning progress and discover the area for further study. In this project, we focus on adding a feature for a course instructor to generate, using AI techniques, various types of questions for self-assessment: the system uses various types of course-related material, including text chapters in PDF format. The system is designed to be guided by the instructor and would help students to educate themselves in a typical remote teaching/learning environment.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Navale, Reethu
Institution:Concordia University
Degree Name:M. Comp. Sc.
Program:Computer Science
Date:24 February 2022
Thesis Supervisor(s):Desai, Dr. Bipin C.
Keywords:Artificial Intelligence, Machine Learning, Natural Language Processing, Learning Management System, Course Management Application
ID Code:990415
Deposited By: Reethu Navale
Deposited On:16 Jun 2022 14:56
Last Modified:16 Jun 2022 14:56
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