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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 4, 2020.
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.
Abeer Assiri, Abdullah AL-Malaise AL-Ghamdi and Hani Brdesee, “From Traditional to Intelligent Academic Advising: A Systematic Literature Review of e-Academic Advising” International Journal of Advanced Computer Science and Applications(IJACSA), 11(4), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110467
@article{Assiri2020,
title = {From Traditional to Intelligent Academic Advising: A Systematic Literature Review of e-Academic Advising},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110467},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110467},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {4},
author = {Abeer Assiri and Abdullah AL-Malaise AL-Ghamdi and Hani Brdesee}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.