Document Details

Document Type : Thesis 
Document Title :
Building a Framework for Intelligent Academic Advising System
بناء اطار لنظام ارشاد اكاديمي ذكي
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Academic Advising is one of the most important unit in high educational institutes. It serves students' needs and institutes' objectives to improve students' experience and maximize loyalty and graduation rate. In fact, students who join the universities with certain goals may face many difficulties, such as whom to contact, and where to get information about courses, university, and major. Considering this, each student in the university must has an advisor from his/her department who can address student’s problems during their academic years in the college. The advisors spend considerable time in analyzing student performance, interests, and goals. The rise of student numbers is making it difficult for the advisors to spend time with each advisee. Technology with its different aspect has the power to improve the services of this unit. An automated system is essential to provide information fast, accurate and, available any time. The focus of this thesis is to investigate the current level and situation of academic advising and develop an intelligent system to serve the needs of advisors and students. It is scoped for the master's program of the Information System Department of King Abdulaziz University. This work would locate the groundwork to expand the advising system to the university-wide programs with other more intelligent services, to transfer the traditional advising into an intelligent one. The main contribution of this work is proposing and implementing a conceptual framework for academic advising systems. This framework used to apply information technology and artificial intelligence to improve the advising process in higher education. It also provides a search for the factors that affect intelligent advising system in Saudi universities and explore challenges and opportunities. 
Supervisor : Prof. Abdullah Saad AL-Malaise 
Thesis Type : Master Thesis 
Publishing Year : 1442 AH
2020 AD 
Co-Supervisor : Dr. Hani Brdesee 
Added Date : Saturday, March 6, 2021 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
عبير حسن عسيريAsiri, Abeer HassanResearcherMaster 

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