Intelligent Database Systems Lab Presenter : CHANG, SHIH-JIE Authors : Shih-Hwa Liu*,Gwo-Guang Lee 2013.CE Using a concept map knowledge management system.

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Motivation and Background

Motivation and Background

Introduction:- Instructional technology has become an important part of teaching and learning within the classroom as well as working with fully online.

GOSCIENCE TRAINING: ENHANCING COMPREHENSION IN SCIENCE EDUCATION

Presentation transcript:

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 Motivation Objectives Methodology Experiments Conclusions Comments

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 frequency TF/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 ) ＝ /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 C C C C C A B Support(A  B)=3/5 =60% Confidence(A  B)=3/4 =75%

Intelligent Database Systems Lab Experiments – Apriori Algorithm

Intelligent Database Systems Lab Experiments – Apriori Algorithm ab=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