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Document Details
Document Type
:
Thesis
Document Title
:
Investigating Keyword Extraction and Mapping for Efficient Curriculum Planning
التحقق من استخراج الكلمات المفتاحية ومدى موائمتها من أجل التخطيط الفعال لتطوير المناهج
Subject
:
Faculty of Computing and Information Technology
Document Language
:
Arabic
Abstract
:
The curriculum works as the backbone of the educational process. It must be developed and implemented according to the ongoing educational process’s renewable educational requirements and market needs. The curriculum planning field lakes for automation and all the state-of-the-art contributions in this area are about curriculum planning guidelines and curriculum planning process logical structure, which help in the manual process of reviewing and assessing academic program courses. The manual curriculum planning process is carried out by faculty members, ensuring that the courses involved in the program curriculum reflect the aims and goals of the program. The traditional manual process is time- and effort-consuming and is also subject to human error. To deal with this problem, this research aims to develop an automated curriculum quality assurance (CQA) model. This model can assist faculty members to measure whether student outcomes (SOs) align well with course learning outcomes (CLOs) to ensure the curriculum’s quality for newly developed courses. We applied the proposed CQA model to several IT courses to demonstrate its merits and significance. Experimental results show that the proposed model handles the process of measuring SOs’ alignment with CLOs in a short time and with higher quality. Hence, it can be considered a course alignment measure that can help in the curriculum planning process with fewer errors. Key Word: IT, Curriculum, Students Outcomes, Keyword Extraction, ABET
Supervisor
:
Dr. Rayed AlGhamdi
Thesis Type
:
Master Thesis
Publishing Year
:
1444 AH
2023 AD
Co-Supervisor
:
Dr. Seyed M Buhari
Added Date
:
Wednesday, August 9, 2023
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
منال عبدالرحمن الشمري
AlShammari, Manal Abdulrhman
Researcher
Master
Files
File Name
Type
Description
49276.pdf
pdf
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