Answers are grounded in this paper and cite their sources.
Mixed methods observe intelligence's impact on attitudes in STEM careers, without gender differences.
Mathematic proficiency has long been associated with the male gender and with high levels of intelligence. Similarly, STEM careers have been linked to the male gender, so both ideas are central to the present article. This study aims to observe differences in attitudes towards mathematic and STEM careers, considering, on the one hand, gender differences and, on the other hand, intelligence, separating the latter variable into a high-ability group and a normative intelligence group. A mixed methods approach was used for the analysis due to its methodological richness, using a reduced version of the Expectations and Values Questionnaire (EVQ) analysed using SPSS v. 25 and two open-ended questions analysed qualitatively using the ALCESTE software. v.1. The results show differences as a function of intelligence, but no gender differences were observed. It is concluded that the results challenge historical conceptions of attitudes towards mathematic and STEM careers.
No takes yet. Share an insight, caveat, or question.
Rodríguez-Naveiras et al. (2023) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: