Iribas Pardo, Haritz
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Iribas Pardo
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Haritz
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Estadística, Informática y Matemáticas
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Publication Open Access Teacher degree students attitudes towards STEM activities in two spanish universities(Universidade do Porto, 2022) Lasa Oyarbide, Aitzol; Iribas Pardo, Haritz; Belletich Ruiz, Olga; Wilhelmi, Miguel R.; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Gobierno de Navarra / Nafarroako GobernuaThe attempt to train undergraduate primary school teachers in STEM skills faces an evident handicap, since students enrolling Teacher Degrees usually have humanistic secondary school backgrounds. Attitudes towards STEM on a sample of 336 undergraduate teachers from two Spanish universities were analyzed. Students answered a questionnaire, and responses were analyzed qualitatively (open text questions) and quantitatively (Descriptive Statistics and Statistical Implicative Analysis). Results describe a young collective, with a clear majority of women, mostly interested in languages and history, with high vocation (rather spontaneous than hereditary) to work with children. There is evidence that school advice services fulfill a role to discourage certain students from STEM. These conclusions give valuable information that could be used to replace institutional practices and improve the perception future teachers have towards the teaching of STEM in Primary Education.Publication Open Access Triangulation en recherche qualitative à l'aide: de l'analyse statistique implicative(Université Bourgogne Franche-Comté - Besançon, 2021) Wilhelmi, Miguel R.; Belletich Ruiz, Olga; Iribas Pardo, Haritz; Abaurrea Larrayoz, Jaione; Lasa Oyarbide, Aitzol; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Ciencias humanas y de la educación; Giza eta Hezkuntza ZientziakIn Education Sciences and, more generally, in Human and Social Sciences, qualitative and descriptive approaches are used extensively. From a methodological point of view, triangulation is in turn widely used. This triangulation can integrate quantitative methods referring to categorical variables (or qualitative variables or ‘attribute’ variables). This specificity is often not well understood by researchers, who may lack the necessary technical training in these research areas. General considerations are provided and applied to a particular study, namely: “describing the profile students to become kindergarten or primary schools’ teachers".