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Enregistrement W4321110303 · doi:10.3389/fpsyg.2023.1151715

Editorial: Initiatives to raise young people's interest and participation in STEM

2023· editorial· en· W4321110303 sur OpenAlexaboutno aff
Milagros Sáinz, Katja Upadyaya, Sergi Fàbregues

Notice bibliographique

RevueFrontiers in Psychology · 2023
Typeeditorial
Langueen
DomaineSocial Sciences
ThématiqueCareer Development and Diversity
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychologyInternet privacy

Résumé

récupéré en direct d'OpenAlex

In the present Research Topic, a variety of aspects related to the under-representation of women in STEM have been addressed with a group of 11 high-quality papers related to gender-based intervention studies. These papers include rigorous empirical studies, methodological papers, and systematic reviews describing initiatives or programs to overcome the gender gap in the STEM educational and career pathways through the following aspects:• Focusing on research questions and/or objectives related to the gender gap in access and progression of STEM education. • Drawing on one or more theoretical approaches (i.e., person-environment fit theory, RIASEC model of vocational interests, expectancies and values, social role theory, project-based learning principles, etc.). • Addressing different stages of educational pathways, including primary, secondary, and higher STEM education. • Using various methodological approaches to design and evaluate their implementation and effectiveness. • Discussing the sustainability and long-term effects of the interventions.• Treating the intersection of gender and other factors, such as areas of study, country of origin, family socioeconomic status, and attained educational level.The first paper "Impact of interest congruent on study outcomes" tackles how social and aspirational congruence interest of a group of German university students are related to students' persistence, performance, and satisfaction in six different study areas, including STEM.In the second paper "I am done with this. Women dropping out of engineering majors" the authors conducted a qualitative study with a group of Spanish engineering students, where the main factors (i.e. the influence of stereotypes, lack of role models, excessive academic workload or a hostile class environment) pushing women to drop out of engineering education were identified.The third paper entitled "Girls get Wise. A programming model for engaging girls in STEM" describes the features and evaluation process of a long-term Canadian universitybased program aimed at engaging girls in STEM. Through the use of hands-on interactive STEM activities, this program provides an opportunity for young women to showcase their talents and excitement for science-based topics.The paper "On the Design and Validation of Assessing Tools for Measuring the Impact of Programs Promoting STEM Vocations" addresses the design and validation of an instrument to evaluate how an informal learning initiative developed in Spain promotes Science, Technology, Engineering, and Mathematics STEM vocations among secondary students, their families (parents), and secondary teachers.The paper "Perception of work in the IT sector among men and women-A comparison between IT students and IT professionals" examines gender differences in goal congruence, sense of belonging, and self-efficacy in IT among a group of Polish IT and non-IT workers as well as university students.In the paper "Interventions to increase young people's interest in STEM. A scoping review" the authors examine the main characteristics and effectiveness of intervention studies aiming at encouraging secondary school students' interest in STEM over the past 20 years, with a particular focus on female students. Twenty-five studies were also identified as best practices for their design and evaluation characteristics.The paper "Associations between adolescent students' multiple domain task value-cost profiles and STEM aspirations" examines the task value and cost profiles of Finnish middle school students in association with STEM aspirations, and investigates gender differences, using latent transition analysis as a methodological approach.The paper "Gender biases in the training methods of affective computing: Redesign and validation of the Self-Assessment Manikin in measuring emotions via audiovisual clips" analyzes the development and experimental testing of a graphic design tool for the labeling of emotions free of gender biases.The paper "Gendered difference in motivational profiles, achievement, and STEM aspiration of elementary school students" uses latent transition analysis to look into gender differences in motivation profiles and their influence on achievement and STEM aspirations over time in a sample of Finnish elementary students.The paper "Intervention initiatives to raise young people's interest and participation in STEM" examines, using two interventions developed with randomized control trials, how to increase science interest and participation in a group of elementary and secondary school students in the United States.Finally, the paper entitled "Use of mixed methods research in intervention studies to increase young people's interest in STEM: A systematic methodological review" examines how the use of a mixed methods approach enhances the comprehensiveness and robustness of an intervention design attempting to raise students' and girls' interest in STEM.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,074
Score d'incertitude au seuil0,941

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,038
Tête enseignante GPT0,369
Écart entre enseignants0,331 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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