Abstract - Globalization, Customization and Web 2.01
are
having substantial effects in the Education sector. For this,
the government of India has taken strong steps towards
Collaborative E-Learning which yields significant social,
educational, financial and research profits. The learning
infrastructure has improved many folds providing easy access
to innovative technologies. But, for its utmost utilization,
there is need to identify the intended learners and their
cognitive requirements to produce precise E-Content and
Content Management Systems (CMS)2
to match the learner’s
needs, cognitive ability and learning attitude. Keeping this in
view, the present study suggests a cognitive agent3
based
expert system for collaborative E-Learning. The system
drives on learner’s cognitive ability. It simulates the human
thought process during teaching-learning activity and
collaborative learning; and thus, provides the relevant,
unambiguous E-Content. The system can be used to obtain an
insight to the learner’s cognitive aspects and willingness to
learn in social interactive environment. Based on the
empirical data gathered, the system instructs the learner for
self paced learning or social interactive learning. The system
is referred as CAESMCE-Learning (Cognitive Agent based
Expert System for Metacognitive and Collaborative ELearning).
The agent acts as a software artifact that exhibits
intelligent behavior in a very complex domain like human
learning where the system attempts to model the cognitive
process associated with learning. The system is like an
intelligent agent which is reactive, instructable, adaptive and
cognitive. The property of instructability is important since
by allowing the instructional designer to feed the agent with
new knowledge during its execution, it helps to solve the
knowledge acquisition problem. The system models human
intelligence and human perspective of the world using BDI
(Belief-Desire-Intention) Model.
Abstract - Globalization, Customization and Web 2.01 arehaving substantial effects in the Education sector. For this,the government of India has taken strong steps towardsCollaborative E-Learning which yields significant social,educational, financial and research profits. The learninginfrastructure has improved many folds providing easy accessto innovative technologies. But, for its utmost utilization,there is need to identify the intended learners and theircognitive requirements to produce precise E-Content andContent Management Systems (CMS)2 to match the learner’sneeds, cognitive ability and learning attitude. Keeping this inview, the present study suggests a cognitive agent3 basedexpert system for collaborative E-Learning. The systemdrives on learner’s cognitive ability. It simulates the humanthought process during teaching-learning activity andcollaborative learning; and thus, provides the relevant,unambiguous E-Content. The system can be used to obtain aninsight to the learner’s cognitive aspects and willingness tolearn in social interactive environment. Based on theempirical data gathered, the system instructs the learner forself paced learning or social interactive learning. The systemis referred as CAESMCE-Learning (Cognitive Agent basedExpert System for Metacognitive and Collaborative ELearning).The agent acts as a software artifact that exhibitsintelligent behavior in a very complex domain like humanlearning where the system attempts to model the cognitive
process associated with learning. The system is like an
intelligent agent which is reactive, instructable, adaptive and
cognitive. The property of instructability is important since
by allowing the instructional designer to feed the agent with
new knowledge during its execution, it helps to solve the
knowledge acquisition problem. The system models human
intelligence and human perspective of the world using BDI
(Belief-Desire-Intention) Model.
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