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 |
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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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