Intelligent Database Systems Lab Presenter : CHANG, SHIH-JIE Authors : Shih-Hwa Liu*,Gwo-Guang Lee...

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Transcript of Intelligent Database Systems Lab Presenter : CHANG, SHIH-JIE Authors : Shih-Hwa Liu*,Gwo-Guang Lee...

Intelligent Database Systems Lab

Presenter : CHANG, SHIH-JIE

Authors : Shih-Hwa Liu*,Gwo-Guang Lee

2013.CE

Using a concept map knowledge management system to enhance the learning of biology

Intelligent Database Systems Lab

Outlines

MotivationObjectivesMethodologyExperimentsConclusionsComments

Intelligent Database Systems Lab

Motivation The lack of information about how students categorize, reorganize, and link their perceived concepts, would result in teachers not understanding the learning of students with different cultures and backgrounds.

Intelligent Database Systems Lab

Objectives

• The CMKMS can promote teaching activities step-by-step and improve effective student learning.

Intelligent Database Systems Lab

Methodology

Word frequencyTF/IDF

Intelligent Database Systems Lab

Methodology

Intelligent Database Systems Lab

Experiments – Statistics method

(1) ANOVA(2) Tukey’s HSD Test(3) McNemar test

Intelligent Database Systems Lab

Experiments

Intelligent Database Systems Lab

Experiments – ANOVA

F = (SSB/degree) / (SSW/degree)

= 366.45/29.95 = 12.24

Intelligent Database Systems Lab

Experiments – Tukey’s HSD Test合作 個體 無使用

Intelligent Database Systems Lab

Experiments – McNemar test

Intelligent Database Systems Lab

Two phase algorithm:

Experiments – CHAMELEON Algorithm

Intelligent Database Systems Lab

Experiments – CHAMELEON Algorithm

Intelligent Database Systems Lab

Experiments– CHAMELEON Algorithm

Intelligent Database Systems Lab

Experiments

Intelligent Database Systems Lab

Experiments – Apriori Algorithm

啤酒 尿布 牛奶 麵包 衣服C1 1 0 1 1 0 1

C2 1 1 0 1 1 0

C3 0 1 1 0 0 0

C4 1 1 1 1 1 1

C5 0 0 1 1 0 1

A B

Support(AB)=3/5 =60%

Confidence(AB)=3/4 =75%

Intelligent Database Systems Lab

Experiments – Apriori Algorithm

Intelligent Database Systems Lab

Experiments – Apriori Algorithmab=2/5 abc=1/5

Intelligent Database Systems Lab

Experiments Apriori

Intelligent Database Systems Lab

Conclusions– The CMKMS made a positive contribution to the

teaching of biology and learning strategy for students.

– This research offers a platform on which group brainstorming sessions can be structured, knowledge and values can be integrated, and a shared conceptual framework.

Intelligent Database Systems Lab

Comments• Advantages

– The CMKMS enabled students to intuitively construct and organize their tacit knowledge.

• Applications– Concept Map, Learning biology