AI-based Academic Advising Framework: A Knowledge Management Perspective
Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
(IJACSA) International Journal of Advanced Computer Science and Applications,
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.
Description
Keywords
Knowledge management; artificial intelligence;
academic advising; rule-based expert system; machine learning;
chatbot; conversational agent
Citation
Bilquise, G. and Shaalan, K. (2022) “AI-based Academic Advising Framework: A Knowledge Management Perspective,” International Journal of Advanced Computer Science and Applications, 13(8), p. n/a.