A Taxonomic Scheme for Propositional Analysis 4 th Int’l Conference on Concept Mapping October 6, 2010 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

 4 th 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

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 1 st 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)

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