Editorial: Initiatives to raise young people's interest and participation in STEM
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".