Abstract: Academic advising has become a critical factor of students’ success as universities offer a variety of programs and courses in their curriculum. It is a student-centered initiative that fosters a student’s involvement with the institution by supporting students in their academic progression and career goals. Managing the knowledge involved in the advising process is crucial to ensure that the knowledge is available to those who need it and that it is used effectively to make good advising decisions that impact student persistence and success. The use of AI-based tools strengthens the advising process by reducing the workload of advisors and providing better decision support tools to improve the advising practice. This study explores the challenges associated with the current advising system from a knowledge management perspective and proposes an integrated AI-based framework to tackle the main advising tasks.

Ghazala Bilquise and Khaled Shaalan, “AI-based Academic Advising Framework: A Knowledge Management Perspective” International Journal of Advanced Computer Science and Applications(IJACSA), 13(8), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130823

@article{Bilquise2022,
title = {AI-based Academic Advising Framework: A Knowledge Management Perspective},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130823},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130823},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {8},
author = {Ghazala Bilquise and Khaled Shaalan}
}