id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_satd7gzaojbw3kixfm7lvvuiky	Frederick W. B. Li	An Adaptive Course Generation Framework	2010	18	.pdf	application/pdf	7738	717	67	ABSTRACT: Existing adaptive e-learning methods are supported by student (user) profiling for capturing student characteristics, and course structuring for organizing learning materials student learning needs as well as different factors that affect course material relevance. Keywords: User profiling, student profiles, course profiles, resource profiles, adaptive e-Learning. They facilitate the generation of adaptive courses for students with different learning Existing work on adaptive e-learning tackles this problem by applying student profiles across course aspects when student learning preferences are accounted, and However, we note that both the student learning style and the relevance of course set the global learning style filters, we may initially assign small values to all level-ofabstraction items to extract a high level abstraction of course materials from each students develop course related preferences based on their learning experiences. The profiles store the students' course relevant prior knowledge, learning the programming content style filters at the aspect group level of the course: 	./cache/work_satd7gzaojbw3kixfm7lvvuiky.pdf	./txt/work_satd7gzaojbw3kixfm7lvvuiky.txt