Authors:
Aslina Saad
1
;
P. W. H. Chung
2
and
C. W. Dawson
2
Affiliations:
1
Loughborough University and Universiti Pendidikan Sultan Idris, United Kingdom
;
2
Loughborough University, United Kingdom
Keyword(s):
Knowledge modelling, Case representation, Case adaptation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Case-Based Reasoning
;
Enterprise Information Systems
;
Formal Methods
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge Representation and Reasoning
;
Pattern Recognition
;
Planning and Scheduling
;
Simulation and Modeling
;
Symbolic Systems
;
Theory and Methods
Abstract:
Lesson plans help teachers to organize content, materials and methods for their teaching. Appropriate lesson plans are crucial to accommodate student differences in various aspects. Currently there are limited mechanisms to support decision making in constructing lesson plans based on the constraints teachers have. Since lesson plans have a standard format, they can potentially be shared. SmartLP, a web-based lesson planning system, was developed to assist teachers in preparing suitable lesson plans based on various constraints; students’ profile, curriculum and facilities. In SmartLP, teachers can make modification to the retrieved plans according to their constraints, as opposed to generating new ones from scratch. Implementation of such systems insists on a proper case representation as it facilitates case retrieval and subsequently case adaptation to handle differences in hand. An ontology for the lesson plan domain has been built in the form of a taxonomy. This is followed by ca
se definition that consists of problem description and solution. Cases are represented as attributes - value representation in a case base. Transformation, a kind of case adaptation, is implemented in the system to facilitate teachers in adding, deleting or editing the contents of the retrieved lesson plans. The adaptation can be derived from one case or several cases.
(More)