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Détail de l'auteur
Auteur Ohland, Matthew W.
Documents disponibles écrits par cet auteur
Affiner la rechercheMulti-institution study of student demographics and outcomes in electrical and computer engineering in the USA / Lord, Susan M. in IEEE transactions on education, Vol. 58 N° 3 (Août 2015)
[article]
in IEEE transactions on education > Vol. 58 N° 3 (Août 2015) . - pp. 141 - 150
Titre : Multi-institution study of student demographics and outcomes in electrical and computer engineering in the USA Type de document : texte imprimé Auteurs : Lord, Susan M., Auteur ; Layton, Richard A., Auteur ; Ohland, Matthew W., Auteur Année de publication : 2016 Article en page(s) : pp. 141 - 150 Note générale : Education Langues : Anglais (eng) Mots-clés : Computer science education Demography Educational institutions Electrical engineering education Gender issues Résumé : Electrical Engineering (EE) and Computer Engineering (CpE) programs have similar curricula, but different demographics and student outcomes. This paper extends earlier longitudinal studies to a larger and more diverse dataset with 90 000 first-time-in-college and 26 000 transfer students who majored in engineering at USA institutions, including students who started in first-year engineering programs, those switching majors, and those transferring from other institutions. Black men and women and Asian men in engineering are strongly attracted to EE when they start in college. Black students and Asian and Hispanic men are attracted to CpE more than other engineering disciplines, but at lower rates than EE. Asian students have the highest graduation rates in EE. EE students are much more likely to graduate than CpE students. Compared to other engineering disciplines, CpE graduation rates are low for women of all races/ethnicities and Black men. Both EE and CpE lose many of those starting the programs, but switchers and transfers compensate for some of the loss. Considering Asian students and White men, switching to EE accounts for the high attrition rate from CpE, but attrition in other populations cannot be explained so easily. Trajectories of student enrollment differ by race/ethnicity. The approach used here could serve as a model for other fields studying their own demographic distributions. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6881755&filter%3DAND% [...] [article] Multi-institution study of student demographics and outcomes in electrical and computer engineering in the USA [texte imprimé] / Lord, Susan M., Auteur ; Layton, Richard A., Auteur ; Ohland, Matthew W., Auteur . - 2016 . - pp. 141 - 150.
Education
Langues : Anglais (eng)
in IEEE transactions on education > Vol. 58 N° 3 (Août 2015) . - pp. 141 - 150
Mots-clés : Computer science education Demography Educational institutions Electrical engineering education Gender issues Résumé : Electrical Engineering (EE) and Computer Engineering (CpE) programs have similar curricula, but different demographics and student outcomes. This paper extends earlier longitudinal studies to a larger and more diverse dataset with 90 000 first-time-in-college and 26 000 transfer students who majored in engineering at USA institutions, including students who started in first-year engineering programs, those switching majors, and those transferring from other institutions. Black men and women and Asian men in engineering are strongly attracted to EE when they start in college. Black students and Asian and Hispanic men are attracted to CpE more than other engineering disciplines, but at lower rates than EE. Asian students have the highest graduation rates in EE. EE students are much more likely to graduate than CpE students. Compared to other engineering disciplines, CpE graduation rates are low for women of all races/ethnicities and Black men. Both EE and CpE lose many of those starting the programs, but switchers and transfers compensate for some of the loss. Considering Asian students and White men, switching to EE accounts for the high attrition rate from CpE, but attrition in other populations cannot be explained so easily. Trajectories of student enrollment differ by race/ethnicity. The approach used here could serve as a model for other fields studying their own demographic distributions. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6881755&filter%3DAND% [...] Trajectories of electrical engineering and computer engineering students by race and gender / Lord, Susan M. in IEEE transactions on education, Vol. 54 N° 4 (Novembre 2011)
[article]
in IEEE transactions on education > Vol. 54 N° 4 (Novembre 2011) . - pp. 610 - 618
Titre : Trajectories of electrical engineering and computer engineering students by race and gender Type de document : texte imprimé Auteurs : Lord, Susan M., Auteur ; Layton, Richard A., Auteur ; Ohland, Matthew W., Auteur Année de publication : 2013 Article en page(s) : pp. 610 - 618 Note générale : education Langues : Français (fre) Mots-clés : computer engineering education; electrical engineering education; gender; race; retention Résumé : Electrical engineering (EE) is one of the largest engineering disciplines. Computer engineering (CpE) has a similar curriculum, but different demographics and student outcomes. Using a dataset from universities in the U.S. that includes over 70 000 students who majored in engineering, this paper describes the out comes for students matriculating in and migrating into EE and CpE so as to inform the decision making of faculty, department heads, and deans. Although men consistently outnumber women in EE and CpE, the rates of matriculation and six-year graduation vary by race and gender. EE is the most popular choice for Asian and Black students (males and females) at matriculation, but while Asians graduate at high rates, Blacks (particularly males) are not retained. Retention is higher in EE than in CpE despite the similarity of the curricula. Graduation rates are lower than expected for women of all races in CpE and for Hispanic women in EE. By the third semester, some students of all races and genders have left their matriculation major, but others have migrated in from other majors, compensating for some of this loss. CpE students are more likely than EE students to switch to another major. Trajectories of EE and CpE students are racialized and distinct. CpE loses more students and attracts fewer students than EE. These findings il lustrate the importance of disaggregating by engineering major as well as race and gender to improve recruitment and retention overall. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5685600&sortType%3Das [...] [article] Trajectories of electrical engineering and computer engineering students by race and gender [texte imprimé] / Lord, Susan M., Auteur ; Layton, Richard A., Auteur ; Ohland, Matthew W., Auteur . - 2013 . - pp. 610 - 618.
education
Langues : Français (fre)
in IEEE transactions on education > Vol. 54 N° 4 (Novembre 2011) . - pp. 610 - 618
Mots-clés : computer engineering education; electrical engineering education; gender; race; retention Résumé : Electrical engineering (EE) is one of the largest engineering disciplines. Computer engineering (CpE) has a similar curriculum, but different demographics and student outcomes. Using a dataset from universities in the U.S. that includes over 70 000 students who majored in engineering, this paper describes the out comes for students matriculating in and migrating into EE and CpE so as to inform the decision making of faculty, department heads, and deans. Although men consistently outnumber women in EE and CpE, the rates of matriculation and six-year graduation vary by race and gender. EE is the most popular choice for Asian and Black students (males and females) at matriculation, but while Asians graduate at high rates, Blacks (particularly males) are not retained. Retention is higher in EE than in CpE despite the similarity of the curricula. Graduation rates are lower than expected for women of all races in CpE and for Hispanic women in EE. By the third semester, some students of all races and genders have left their matriculation major, but others have migrated in from other majors, compensating for some of this loss. CpE students are more likely than EE students to switch to another major. Trajectories of EE and CpE students are racialized and distinct. CpE loses more students and attracts fewer students than EE. These findings il lustrate the importance of disaggregating by engineering major as well as race and gender to improve recruitment and retention overall. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5685600&sortType%3Das [...]