Intelligent Database Systems Lab

Presenter: NENG-KAI, HONG

Authors: G. PANKAJ JAIN, VARADRAJ P. GURUPUR, JENNIFER L.

SCHROEDER, AND EILEEN D. FAULKENBERRY

2014, IEEE

Artificial Intelligence-Based Student LearningEvaluation: A Concept Map-Based Approach forAnalyzing a Student’s Understanding of a Topic

Intelligent Database Systems Lab

Outlines

MotivationObjectivesMethodologyExperimentsConclusionsComments

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Intelligent Database Systems Lab

Motivation

• Traditional method of concept map can only be

used to measure what the student knows about

a subject.

• Concepts developed by students should be more

measurable and comparable.

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Intelligent Database Systems Lab

Objectives

• Development of a comparative analysis using

probability distribution to compare concept

maps developed by students.

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Intelligent Database Systems Lab

Methodology

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Methodology

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Methodology

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Methodology

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Methodology

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Methodology

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Methodology

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Methodology

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Experiment

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Experiment

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Intelligent Database Systems Lab

Conclusions• Use of AISLE considerably reduces the time involved

in assessing a student’s understanding of a topic in study for the instructor.

• The method used to assess concept maps does not work very well when the concept maps submittedby the students are not hierarchical in nature

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Intelligent Database Systems Lab

Comments• Applications– Concept maps, evalution, probability distributions

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