Intelligent Database Systems Lab Presenter: NENG-KAI, HONG Authors: G. PANKAJ JAIN, VARADRAJ P....

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

Outlines

MotivationObjectivesMethodologyExperimentsConclusionsComments

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.

Objectives

• Development of a comparative analysis using

probability distribution to compare concept

maps developed by students.

Methodology

Experiment

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

Comments• Applications– Concept maps, evalution, probability distributions

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