Abstract
this paper proposes a design of an application of multi agent technology on a semantic net knowledge base, to build a smart e-examiner system. This e-examiner could be used in building and grading a personalized special on-line e-assessment. The produced e-assessment should cover the majority of examined topics and material. It should cover various levels of difficulties and learners profile(s). The e-examiner will use a semantic net question bank, to emphasize on the structuring categories of all course domains. This task is done through four different intelligent agents: control agent, personal agent, examiner agent, and grading agent. The system might select questions from a bank of questions for several courses. It could be used in different education levels and natures. Also, it will produce a key for the produced exam, to be used latter in grading, and giving final marks of e-assessments.
Highlights
The e-learning and m-learning are considered the important ways to respond to the needs of the d-learning
This paper presented a design of a multi-agent based smart e-examiner system
It is running its four agents on that question KB to select questions and building e-assessments according to learner(s) education level and profile data
Summary
Abstract—this paper proposes a design of an application of multi agent technology on a semantic net knowledge base, to build a smart e-examiner system. This e-examiner could be used in building and grading a personalized special on-line eassessment. The e-examiner will use a semantic net question bank, to emphasize on the structuring categories of all course domains This task is done through four different intelligent agents: control agent, personal agent, examiner agent, and grading agent. The system might select questions from a bank of questions for several courses It could be used in different education levels and natures. It will produce a key for the produced exam, to be used latter in grading, and giving final marks of e-assessments
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