id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_2ntpv4mpyre3xdhmwt3t2mqfve	Obada Alhabashneh	Fuzzy-based Adaptive Framework for Module Advising Expert System	2021	15	.pdf	application/pdf	7552	839	67	Obada Alhabashneh, "Fuzzy-based Adaptive Framework for Module Advising Expert System", Annals of Emerging classifying the risk level for enrolling on a specific module for a specific student case. Keywords: Intelligent Academic Advisor; Module Adviser; Expert System; Fuzzy Logic; Fuzzy Rule-based. urges the need for developing intelligent systems for module-advising to aid the students in selecting recommendations on suitable modules based on the student's academic history. These spaces are used to estimate the risk level associated with each student, module, and lecturer. used to predict the risk level associated with the combination of a specific student, module, and student feedback in [23] and the resulted clusters were combined with fuzzy based rule association Different knowledge-based recommendation approaches have been proposed for module Rafe [39] developed a fuzzy-based expert system for student advising. To create the fuzzy rule base, in this step and for each abnormal case, the linguistic labels 	./cache/work_2ntpv4mpyre3xdhmwt3t2mqfve.pdf	./txt/work_2ntpv4mpyre3xdhmwt3t2mqfve.txt