Méthode d’analyse statistique exploratoire pour une étude comparative sur les représentations de la démarche d’investigation d’enseignants de collège

Autor: MAGALI COUPAUD, JEREMY CASTERA, MICHEL LARINI, ALICE DELSERIEYS
Jazyk: English<br />French
Rok vydání: 2015
Předmět:
Zdroj: Review of Science, Mathematics and ICT Education, Vol 9, Iss 2, Pp 99-114 (2015)
Druh dokumentu: article
ISSN: 1791-261X
1792-3999
DOI: 10.26220/rev.2217
Popis: The use of statistics, and in particular exploratory data analysis, in educational research present interesting perspectives. However, it is also important to discuss its relevance and the meaning of the results obtained. As such, we propose a methodological discussion based on a study concerning the introduction of a shared teaching method in French curricula of biology-geology, technology and physics- chemistry. We made a survey by questionnaire to collect the representations of teachers from the tree school subjects related to inquiry based science education (IBSE). In this communication, we propose a comparative analysis of different types of exploratory data analysis used in our research in order to highlight the different representations of teachers regarding the use of IBSE depending on their subject. We bring out, in particular, some conditions necessary in the design of a questionnaire that will be processed using principal component analysis and factorial discriminant analysis.
Databáze: Directory of Open Access Journals