Factors Influencing girls\u27 choice of Information Technology careers

Many western nations have experienced declining numbers of women in the information technology (IT) workforce (Trauth, Nielsen, & von Hellens, 2003). Between 1996 and 2002, women in the U.S. IT workforce declined from 41% to 34.9% (ITAA, 2003). This can hamper diversity and reduce the talent pool that can address needs of diverse end-users (Florida & Gates, 2002). Why do women choose IT careers or reject them? Multidisciplinary research on career genderization reveals gender imbalance (Trauth, Nielsen, & von Hellens, 2003). Career decisions against math, science, and technology (MST) are often made as early as age 11 without understanding long-term implications (AAUW, 2000). We examine influences on girls’ choice of IT careers, modeling social, structural, and personal variables that affect IT career choice. Using Ahuja’s (2002) classification of social and structural influences on women’s IT careers, Beise, Myers, VanBrackle, and Chevli-Saroq’s (2003) model of women’s career decisions, and individual differences suggested by Trauth (2002), we extend literature to children and adolescents’ career choices. Social influences bias internal and external gender perceptions and stereotyping, role models, peers, media, and family. Institutional support such as teachers and counselors, access to technology, and same-sex versus coeducational schools are structural influences. While both can influence career decisions, social factors have the most influence on children’s early perceptions. Both factors can introduce gender-stereotyping effects on career choices. Gender stereotyping explains how girls perceive their role in society based on subtle societal cues. It can limit opportunities for both sexes. We also examine personality traits and external influences that make children unique. Their individual differences draw them to activities and content areas such as problem solving and interaction with people. Finally, ethnic culture can exert an influence on social and structural variables. Figure 1 from Adya and Kaiser (2005) presents our career choice model that is discussed in the next section

Is change on the horizon for Maori and Pacifica female high school students when it comes to ICT?

This paper explores some of the factors that discourage the participation of Māori and Pacific girls in ICT in New Zealand. Despite many ICT job opportunities, there has been a steady decrease in the percentage of girls, especial Māori and Pacific girls entering into ICT study, and pursuing ICT careers. This study used a modified version of the conceptual framework designed by Bernhardt (2014) based on the 'STEMcell' model. The STEMcell framework was used to explores the factors that discourage participation in ICT through such concepts as cultural, social, structural and social IT that contribute to the likelihood of student’s career choice in ICT. An online questionnaire gathered data from year 11 students studying at high schools within Wellington, New Zealand. The findings indicated that Pacific girl’s more than Māori girls reported that their family members were seen as role models, which could impact on their future career choices. The statistical results also show that stereotypes are still alive in both Māori and Pacific year 11 student’s perceptions and that both Pacific and Māori girls from year 11 are unlikely to follow a career in ICT. Currently, the number of Māori and Pacific girls enrolling in ICT subjects at secondary school is still substantially below that for boys and, until changes are made, Māori and Pacific girls going into the industry will be in the minority

Early Determinants of Women in the IT Workforce: A Model of Girls’ Career Choices

Purpose – To develop a testable model for girls’ career choices in technology fields based on past research and hypotheses about the future of the information technology (IT) workforce. Design/Methodology/Approach – Review and assimilation of literature from education, psychology, sociology, computer science, IT, and business in a model that identifies factors that can potentially influence a girl’s choice towards or against IT careers. The factors are categorized into social factors (family, peers, and media), structural factors (computer use, teacher/counselor influence, same sex versus coeducational schools), and individual differences. The impact of culture on these various factors is also explored. Findings – The model indicates that parents, particularly fathers, are the key influencers of girls’ choice of IT careers. Teachers and counselors provide little or no career direction. Hypotheses propose that early access to computers may reduce intimidation with technology and that same-sex education may serve to reduce career bias against IT. Research Limitations/Implications – While the model is multidisciplinary, much of research from which it draws is five to eight years old. Patterns of career choices, availability of technology, increased independence of women and girls, offshore/nearshore outsourcings of IT jobs are just some of the factors that may be insufficiently addressed in this study. Practical Implications – A “Recommendations” section provides some practical steps to increase the involvement of girls in IT-related careers and activities at an early age. The article identifies cultural research as a limitation and ways to address this. Originality/value – The paper is an assimilation of literature from diverse fields and provides a testable model for research on gender and IT

Factors influencing students' acceptance of m-learning: An investigation in higher education

M-learning will play an increasingly significant role in the development of teaching and learning methods for higher education. However, the successful implementation of m-learning in higher education will be based on users' acceptance of this technology. Thus, the purpose of this paper is to study the factors that affect university students' intentions to accept m-learning. Based on the unified theory of acceptance and use of technology (UTAUT) (Venkatesh et al., 2003), this study proposes a model to identify the factors that influence the acceptance of m-learning in higher education and to investigate if prior experience of mobile devices affects the acceptance of m-learning. A structural equation model was used to analyse the data collected from 174 participants. The results indicate that performance expectancy, effort expectancy, influence of lecturers, quality of service, and personal innovativeness were all significant factors that affect behavioural intention to use m-learning. Prior experience of mobile devices was also found to moderate the effect of these constructs on behavioural intention. The results of this research extend the UTAUT in the context of m-learning acceptance by adding quality of service and personal innovativeness to the structure of UTAUT and provide practitioners and educators with useful guidelines for designing a successful m-learning system

Factors that Influence Persistence of Biology Majors at a Hispanic-Serving Institution

To promote diversity within the science, technology, engineering, and mathematics (STEM) workforce, we must identify factors that influence or hinder historically underrepresented minority (URM) students’ persistence to degrees in STEM. We documented potential factors that influence students’ persistence in an undergraduate biology program and created a 14-item, Likert-scale instrument. We recruited 137 undergraduate biology majors at a Hispanic-serving institution in Texas to report which factors they found influential in their decision to remain enrolled in their degree programs. We used a modified social cognitive career theory model of career choice to guide interpretation of the reported influences and identify patterns in responses. We documented three highly influential factors for all students: personal motivation, potential learning experiences, and job opportunities with the job opportunities showing a significant difference (P=0.036) between White and URM student groups. We also found a trend (P=0.056) indicating White students were more influenced by role models and mentors than URM students. Our findings suggest that personal motivation and potential job opportunities are the most influential factors driving students to seek educational opportunities that could lead to STEM careers. However, access to a diverse pool of role models also has the potential to provide positive impacts on student persistence in STEM

Information technology and gender equality: a contradiction in terminis?

Using the data source of the Computers in Education (Comped) study, carried out under the auspices of the International Association for the Evaluation of Educational Achievement (IEA), the status of gender and computer use in education in a number of countries has been investigated. The findings in this study indicate that the concern about gender equity expressed by many educational practitioners are right. Females know less about information technology, enjoy using the computer less than male students, and perceive more problems with software. Possible causes of this are differences in parental support, access to computers, amount of female role models and activities carried out with computers in school. Gender differences are being found both outside and inside schools. This means that both teachers and parents have to be made aware of this as a starting point for proper action. Schools rarely have a policy concerning gender issues; and when it exists, it is not directed to parents as well. The U.S.A. is the most ¿gender equal¿ country of the countries examined