Presenter : CHANG, SHIH-JIE Authors : Shih- Hwa Liu*, Gwo-Guang Lee 2013.CE

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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

OutlinesMotivationObjectivesMethodologyExperimentsConclusionsComments

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.

Objectives

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

Methodology

Word frequencyTF/IDF

Methodology

Experiments – Statistics method(1) ANOVA(2) Tukey’s HSD Test(3) McNemar test

Experiments

Experiments – ANOVA

F ＝ (SSB/degree) ／ (SSW/degree)

＝ 366.45/29.95 ＝ 12.24

Experiments – Tukey’s HSD Test合作個體無使用

Experiments – McNemar test

Two phase algorithm:

Experiments – CHAMELEON Algorithm

Experiments– CHAMELEON Algorithm

Experiments

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

Support(AB)=3/5 =60%

Confidence(AB)=3/4 =75%

Experiments – Apriori Algorithm

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

Experiments Apriori

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.

Comments• Advantages

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

• Applications– Concept Map, Learning biology

Presenter : CHANG, SHIH-JIE Authors : Shih- Hwa Liu*, Gwo-Guang Lee 2013.CE

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