Abstract
AbstractIn this paper, we propose a methodology to enhance the evaluation tools in semantic learning systems. Our proposal’s aim is to evaluate two types of open questions in hybrid exams. The proposed technique in the first type MOQ (Multi Operations Question) uses the matrix concept for fuzzy score. But POQ (Proof Open Question) is more complicated so we use direct connect to learning objects which saved as ontology based. Also take into consideration the dependence among learning objects so we merge the universal ontology with weight matrix.The proposed methodology has been applied to the case study of the mathematical multi operations question and the proof question on a logic course in a hybrid exam.
Highlights
Using computers and information technology are making revolution in education systems
We focus on the Proof Open Questions (POQ) and Multi Operations Question (MOQ)
We propose to direct connection of the learning materials to an evaluation tool
Summary
Using computers and information technology are making revolution in education systems. In subsection Handle POQ we presented different solutions for example of proof question and displayed part of the PHP code to handle the scoring function and how connected to ontology and the weight function. The Ontology model represents Boolean algebra logic concepts, information and learning objects, which satisfy our system’s educational knowledge needs, arrange main concepts (axioms, laws, theorems) and their hierarchical concepts into classes and subclasses respectively i.e. Starts with defining the classes of Boolean algebra rules’ axioms, laws, theorems. Each class of these classes has a number of classes related to it represented as sub-classes
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