ADAPTIVE LEARNING MANAGEMENT SYSTEM
USING SEMANTIC WEB TECHNOLOGIES
M.Farida Begam1
and Gopinath Ganapathy2
1Department of Information Technology, Manipal University Dubai, U.A.E 2
School of Computer Science and Engineering, Bharathidasan University, India
ABSTRACT
Ontologies and semantic web services are the basics of next generation semantic web. This upcoming
technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and
etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in
learning methodologies. E-learning includes set of tasks which may be instructional design, content
development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as
workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners
requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning
management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction,
behaviour and actions and translate them into semantics which are represented as Ontologies 2) Find the
Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the
learner style. The intelligent agents are used in each module of the framework to perform reasoning and
finally the personalized workflow for the e-learner has been recommended.
KEYWORDS
Learning Style, Learning Objects, workflow, web services, Semantics, Ontology, LMS, ALMS, and OWL-S
Original Source URL : http://airccse.org/journal/ijsc/papers/4113ijsc01.pdf
No comments:
Post a Comment