A Taxonomic Scheme for Propositional Analysis
Jerson Geraldo Romano Jr
Universidade de São Paulo, Programa de Pós-Graduação Interunidades em
Ensino de Ciências
Paulo R. M. Correia*
Universidade de São Paulo, Escola de Artes Ciências e Humanidades
*[email protected]
4th Int’l Conference on Concept Mapping
October 6, 2010
 4th CMC Program Committee
 Brazilian Funding Agencies
 Universidade de São Paulo
 Co-author
Main topics
 Motivation
 Research procedures
 Results and discussion
 Conclusions
Literature review
• Dynamic thinking & CMs
Literature review
Literature review
Literature review
• Dynamic thinking & MCs
Literature review
• Causative & non-causative propositions
Our taxonomic scheme
Research objective
 Develop a taxonomic scheme for propositional analysis
 Compare Cmaps made by different students
• Science-Technology-Society approach
Our hypothesis
 More dynamic propositions, more understanding about STS
Data collection
 Setting
• 1st year students at Universidade de São Paulo
• ACH0011 Natural Science course (15 weeks-2h/week)
• Total set of Cmaps: n=55
• Total set of propositions: n=825
Data collection
 Experimental conditions
• Half-structured concept map (HSCmap)
• How-type focal question
How does bioethics regulate the relationship between science and
society?
• Quantified concepts were required
More technology (root concept) & more controversy
How to use our taxonomic scheme?
Data analysis
 Descriptive statistics: univariate approach
• Evaluation of the proposed variables (S/D11/D12/D21/D22/D23)
 Exploratory analysis: multivariate approach
• Hierarchical Cluster Analysis (HCA)
• Pattern identification through Cmaps natural clustering
Results and discussion
 Descriptive statistics: univariate approach
• Box-plots
Results and discussion
 Dynamic thinking stimuli
• A: props w/ “more technology” were not considered
Knock out the quantified root concept effect (mainly on ↓D22/↓D23)
• B: How-type focal question effect
Props w/ “more technology” & “more controversy” were not
considered (↑S/↑D11/↑D21 & ↓D12/↓D22/↓D23)
HCA: X(55,6)
• City-block (Cmaps distance) & Ward’s (clusters distance)
Clusters’ description
Illustrative Cmaps (Cluster IV: ↑S)
Illustrative Cmaps (Cluster I: ↑D11/↑D12)
Illustrative Cmaps (Cluster II: ↑D22/↑D23)
Conclusions
 Propositions are critical to understand Cmaps
 There is latent information to be unveil
 Our taxonomic scheme
• Deep evaluation of props (S/D11/D12/D21/D22/D23)
• More objetive (4-question procedure for classification)
 Students under the same experimental conditions
• Cmaps w/ different kinds of props
• Descriptive props (Cluster IV, ↑S)
• Non-causative props (Cluster I, ↑D11/↑D12)
• Causative props (Cluster II, ↑D22/↑D23)
 Soon…
• This work will be submitted to J. Res. Sci. Teach.
CMC 2014 in Brazil
2012
?
Timeline
• Increase the interaction between our community
and Brazilian researchers/practitioners
• Celebrate the 80th Anniversary of USP
• Celebrate the 10th Anniversary of CMC
CMC 2014 in Brazil
 BID Committee
• Paulo R. M. CORREIA (USP)
• José J. BOUERI FILHO (USP)
• Ítalo M. DUTRA (UFRGS)
• Maria Elena INFANTE-MALACHIAS (USP)
• Rita MARRIOTT (University of Birmingham)
• Oswaldo MASSAMBANI (USP Agency of Innovation)
• Marco Antônio MOREIRA (UFRGS)
• Patrícia Lupion TORRES (PUC-PR)
Obrigado pela sua atenção
Thanks for your attention
Gracias por su atención
お客様の注目を集めるために感謝
Dank voor uw aandacht
Спасибо за Ваше внимание
Merci pour votre attention
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Contact
[email protected]