Title
Study On Learner Modeling In Adaptive Learning System
Abstract
In light of the present situation researches on learner model in Adaptive Learning System at home and abroad, analyze the design principles and characteristics of Adaptive Learning System. Based on these, this paper summarizes the main problems of learner model from dimension of attention, representation method and acquisition path. It puts forward a new learner model called Advanced Learner Model (ALM for short), which includes three characteristic items such as knowledge level, cognitive ability and preferences. We respectively give the representation of them based on set and tuple. And give the acquisition of characteristic value for prior information and dynamic information. After that, propose a new Adaptive Learning System based on ALM as a case to show the application of this model.
Year
DOI
Venue
2012
10.4304/jcp.7.10.2585-2592
JOURNAL OF COMPUTERS
Keywords
Field
DocType
Adaptive Learning System, Advanced Learner Model, characteristic, representation, acquisition
Design elements and principles,Knowledge level,Computer science,Tuple,Artificial intelligence,Cognition,Adaptive learning,Machine learning
Journal
Volume
Issue
ISSN
7
10
1796-203X
Citations 
PageRank 
References 
2
0.43
1
Authors
3
Name
Order
Citations
PageRank
Bing Jia12710.99
Yongjian Yang23914.05
Jun Zhang340854.35