Abstract
Academic advising plays a crucial role in the achievement of the educational institution purposes. It is an essential element in solving students' academic problems and maximizing their satisfaction and loyalty. Universities around the world have always tried to improve academic advising to personalize the student’s experience. In fact, technology has the power to improve the advising process and facilitate its corresponding tasks and this has historically taken different forms. Accordingly, this paper provides an overview of academic advising and the technologies proposed to improve it. The authors present a systematic literature review on research papers that proposed an electronic academic advising system to view the research trends and identify electronic academic advising major challenges. The main contribution of this paper is to survey the different aspects and trends about the electronic systems that have been proposed to serve academic advising. This paper is a part of major research that aims to transfer the traditional academic advising to one based on Artificial Intelligence, via the current phase of academic advising.
Highlights
Academic advising is a key task in any educational institute that requires a lot of time and expertise
This paper summarizes recent papers and classifies them to provide an overview of the proposed electronic advising system
A systematic literature review (SLR) is a systematic process used to collect, interpret, and evaluate all possible research work done by various authors that is related to a specific topic, the domain of interests or questions [3]
Summary
Academic advising is a key task in any educational institute that requires a lot of time and expertise. To help students find the best decision with minimum time and effort the advisor need a copy of student academic record and academic requirement, discuss with the student to understand him and give him advice, or suggestion in a manual way. This traditional style of advising process seems to be a boring and impossible task especially with a large number of students where the advisor cannot meet every student and know his details. Automated systems will minimize incorrect advice, minimize the load on academic advisors, solve the issue of the limited number of advisors, and free up more of their time
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