Alone or together: The role of gender and social context prior to Aha‐experiences.
Published In: Scandinavian Journal of Psychology, 2023, v. 64, n. 3. P. 302 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Skaar, Øystein O.; Reber, Rolf 3 of 3
Abstract
Prior research indicates that boys show more interest in science, technology, engineering, and mathematics (STEM) than girls do. Given that Aha‐experiences yield positive affect and increase interest, the question arises whether there are gender differences in Aha‐experiences that could help explain the gender differences in interest. Derived from social role theory, we hypothesized that men report having Aha‐experiences alone, whereas women report having Aha‐experiences together with others. In a retrospective survey study comprising three independent samples (N = 899), we conducted chi‐square analyses to explore the relationship of gender, social context (alone; not alone), domain, and situational interest. Across all participants, we found that men were more probably alone and women more probably together with others when they had an Aha‐experience. More fine‐grained analyses revealed that the effect was especially pronounced when the Aha‐experience increased situational interest within STEM or the personal domain. The study suggests that social context played a different role in the occurrence of Aha‐experiences in men and women. We discuss the implications of our findings for STEM instruction at school. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Scandinavian Journal of Psychology. 2023/06, Vol. 64, Issue 3, p302
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2023
- ISSN:0036-5564
- DOI:10.1111/sjop.12883
- Accession Number:163604121
- Copyright Statement:Copyright of Scandinavian Journal of Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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