Authors:
Keith Maycock
;
Sujana Jyothi
and
John Keating
Affiliation:
National University of Ireland, Ireland
Keyword(s):
SCORM learning object, Multiple Representation Approach, Exploratory Space Control, Cognitive Trait Model.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
e-Learning
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Instructional Design
;
Intelligent Tutoring Systems
;
Learning/Teaching Methodologies and Assessment
;
Web-Based Education
;
Web-Based Teaching and Learning Technologies
Abstract:
This paper proposes extensions to the architecture of any Learning Management System (LMS) that utilizes
the Sharable Content Object Reference Model (SCORM), to incorporate Multiple Representation Approaches
(MRA) and Exploratory Space Control (ESC) features, when interacting with a learner. The learners profile
will consist of the traditional student modeling features such as students goals, preferences and knowledge.
The profile will also incorporate a Cognitive Trait Model (CTM) to measure the learners cognitive abilities.
The LMS provides functionality for dynamic login to reduce the time spent getting to know the learner. If a
course is changed to ensure that the course is MRA compliant to suit the cognitive needs of that learner, the
transformation that course encored is stored in a Learning Experience Repository (LER) for future reference.
In effect, the learners profile becomes the author of educational content throughout the learning experience,
ensuring that the co
ntent delivered will suit the cognitive ability of each learner to increase the throughput.
ESC techniques are used throughout the LMS interaction with the learner once a learning experience has
concluded to offer suitable links to other related courses. This paper also discusses various factors that must
be taken into account when developing a LMS, for example, teaching styles, different types of students and
learning styles. The proposed extensions will enhance the learning experience for individual users.
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