MétaCan
Menu
Back to cohort
Record W104843166

Gender Differences in the Academic Performance and Retention of Undergraduate Engineering Majors.

2012· article· en· W104843166 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCollege student journal · 2012
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsHoganPsychologyBachelorPersonalityWorkforceAcademic achievementHigher educationPopulationEngineering educationBig Five personality traitsConscientiousnessSocial psychologyMedical educationMathematics educationDemographyEngineeringPolitical scienceSociologyMedicineExtraversion and introversion
DOInot available

Abstract

fetched live from OpenAlex

This study examined the role of academic performance factors, and personality traits as measured by the Hogan Personality Inventory (Hogan & Hogan, 2007), in the academic success and retention of undergraduate engineering majors. With regard to academic performance, the academic measures of ACT score and high school GPA were significantly related to second semester GPA for both genders. Personality measures also played a role for both genders with higher GPA's associated with more prudence and less sociability. However, these same academic factors and traits were significantly related to the retention of the male but not the female engineering undergraduates. It may be that females engineering majors make a stronger commitment to pursuing a degree in this non-traditional field before entering college such that these factors have less predictive power with regard to their retention in college. ********** As the United States progresses towards an increasingly technological workforce, a major problem for the country is the fact that the demand for the domestic capacity in engineering and computer fields is projected to exceed supply (Cosentino de Cohen & Deterding, 2009). The U.S. is changing rapidly in gender ratios related to education and employment. Females are now attending college at higher rates than ever before, having made up over half of the undergraduate population since 1981 (Fiegener, 2008). Although the number of women in undergraduate engineering programs has increased steadily since 1971, when they earned less than 1% of the bachelor's degrees in engineering, they continue to be underrepresented in this field, earning only 19.5 % of the bachelor's degrees in engineering in 2006 (Fiegener, 2008). Recent employment trends indicate that women will soon cross the threshold and become the majority of the American workforce (The Economist, 2010, p.7). Thus, having small numbers of women graduating with degrees in the fields of greatest national need at a time when there are so many women in U.S. colleges and universities and holding down paying jobs in the U.S. represents a critical problem for the culture. An increased understanding of the factors that contribute to the retention of women in fields such as engineering in the United States would, indeed, be in the best interest of our country and its future. College and universities throughout the U.S. have been concerned for many years with factors associated with retention of students at their institutions. Despite efforts of 4-year institutions of higher learning to carefully select students based on criteria associated with success, as many as 26% of students withdrew from college after their freshman year (ACT, 2008). A number of individual factors have been examined with regard to retention in general including academic orientation (Davidson & Beck, 2006), gender (Leppel, 2002), and personality traits (Lounsbury, Saudargas & Gibson, 2004; Martin, Montgomery, & Saphian, 2006; Taylor, Scepansky, Lounsbury, & Gibson, 2010). Leppel's (2002) national study of gender differences in college persistence of men and women showed GPA and family income had a positive impact on both men's and women's persistence. Larose, Ratelle, Guay, Senecal, Harvey, and Drouin (2008) studied gender differences in the roles of individual motivation and parental and teacher support in the retention of undergraduate STEM (science, technology, engineering, and mathematics) majors in 24 colleges in Quebec, Canada. Their five-year longitudinal study found no gender differences in overall persistence but differences in trajectories for men and women students. Measures of individual motivation showed that it was the women students who had the stronger feelings of self-determination and academic involvement and attachment. The only gender differences Larose et al. found in the role played by sociomotivational factors in students' persistence was a significant difference between persistent and non-persistent male students: persisting males showed higher levels of feelings of competence, self-determination, academic involvement and academic attachment than did non-persisting male students. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.256

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.283
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it