174,438 research outputs found

    Advanced marketing education curriculum in secondary schools in Wisconsin

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    Includes bibliographical references

    Science, Engineering, and Mathematics Education: Status and Issues

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    [Excerpt] An important aspect of U.S. efforts to maintain and improve economic competitiveness is the existence of a capable scientific and technological workforce. A major concern of the 110th Congress may be regarding the future ability of the U.S. science and engineering base to generate the technological advances needed to maintain economic growth. Discussions have centered on the quality of science and mathematics education and training and on the scientific knowledge of those students entering other disciplines. Even students pursuing nonscientific and nonmathematical specialities are likely to require basic knowledge of scientific and technological applications for effective participation in the workforce. Charges are being made that many students complete high school scientifically and technologically illiterate

    Advances in Teaching & Learning Day Abstracts 2005

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    Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2005

    On the influence of creativity in basic programming learning at a first-year Engineering course

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    Teaching fundamentals of programming is a complex task that involves the students’ acquisition of diverse knowledge and skills. It is also well known that programming often requires a certain degree of creativity. There are some studies on how to foster creativity with programming, but few studies have analyzed the influence of students creativity on their performance as programmers. In this paper we present the results of a study, with a sample of 89 freshmen engineering students. Our results suggest (p<0.01) that a high level of creativity is correlated with achieving excellence in programming. Creativity is a generic competence which is not currently covered with in most engineering curricula, and we conclude it should be taken into account. Females, diverse thinking student and some disadvantage groups may benefit from a free-thinking environment in the classroom, in particular at their first-year in college.Peer ReviewedPostprint (author's final draft

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

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    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

    Learning theory and its application to female learner support in engineering

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    School of Engineering at Murdoch University is now in its fifth year: a new School sited on the new regional Campus. This environment enabled the staff to take an innovative approach to the School's development. One key issue addressed from the outset was that of women in a nontraditional area. Positive action was taken to attract high calibre female staff and as a consequence over 50% of the School's staff, academic and non-academic, are female. From the student perspective, issues confronting females studying in Engineering, which are reflected in international low recruitment and retention, continue to be addressed. Individuals are different and these differences affect how a student performs. In particular, gender differences in learning styles have been noted. This has directed us to administer, as part of a first year foundational unit, learning style inventories to all first year students, who then identify their self-reported learning styles. In this positive atmosphere many varied and successful initiatives, based on our learning style research, are being trialled to encourage female students into our programs and then support and retain them throughout their four years of study. This research discusses the initial learning style results and their application to our initiatives

    Factors Influencing girls\u27 choice of Information Technology careers

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    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

    Opportunity to Learn Audit: Elementary School Science

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    Despite widespread media and public attention to the need for U.S. students to be globally competitive in science-related fields, remarkably little emphasis is placed on improving elementary science in U.S. public schools. Yet, it is effective elementary science programs that provide the foundation for a sound K-12 education in science. In a new report, Opportunity to Learn: Elementary Science, the Rennie Center analyzes whether students in high- and low-performing schools receive equitable opportunities to learn in science and, importantly, profiles the promising practices of schools that are beating the odds and succeeding at educating students to high levels in science. This report is the first in a two-part study that the Rennie Center is producing on Massachusetts students' opportunity to learn science. The second report, to be released in late Fall 2008, is being developed in partnership with the Education Development Center and will highlight opportunities to learn science at the high school level (9-12). The federal No Child Left Behind (NCLB) legislation and state accountability systems have created external incentives to improve student achievement in science in addition to English language arts (ELA) and math. In 2010, Massachusetts will require all 10th graders to pass one of the science MCAS tests (in biology, physics, chemistry or technology/engineering) in order to receive a diploma. Yet, to date, schools have increasingly placed their emphasis on math and ELA, to the detriment of science. There also exists a substantial racial/ethnic achievement gap in the sciences, just as there is in math and ELA. English language learners, those who are African American or Hispanic, and students from low-income homes are all falling well below the standards for proficiency set by the state. Given that the state holds all students accountable for their performance in science, it is necessary to examine whether all students are receiving equitable opportunities to learn and succeed at science. This report seeks to identify concretely what top-performing schools do to support science instruction and to draw out considerations for policymakers at the district and state levels.Themes across the SchoolsThe following is a description of greater opportunities to learn science that are present in top-performing schools, compared to low-performing schools:More time on science.Teachers who specialize in science.Regularly scheduled support from district science coordinators.Science materials housed at the schools (rather than at the district).Professional development in scienceSchool budgets for science.High levels of parent involvement in and advocacy for science.Accessibility to natural resources.School leadership focused on science.RecommendationsFor school and district leaders:Make science a high priority in schools and across the district. Promote the integration of science with math and literacy. Set and monitor guidelines for time on science. Develop and monitor adherence to science curriculum that is mapped to state frameworks. Support, document, and -- if necessary -- mandate science-related professional development for elementary school teachers. Identify teachers with high levels of interest in science. Solicit engagement of local business and community leaders in science. For state policymakers:Providing more resources and ensuring that all elementary students in Massachusetts have opportunities to learn science and to achieve at high levels will require coordinated efforts by both state legislators and the Department of Elementary and Secondary Education.The following are recommendations for consideration by both state legislators and the Department. Support expanded school day initiatives and encourage more time for subjects like science, especially for low-income and minority students. Provide mentoring and support for elementary teachers to become school-based science resource specialists. Provide broad, fundamental professional development that is aligned with state frameworks in science for elementary teachers, giving preference to low-performing schools that agree to send a critical number of teachers. Provide technical assistance and training on integrating science, literacy and mathematics instruction. Support enrichment opportunities for low-performing schools that lack active parent and community engagement in science. Provide a supplementary materials budget to under-resourced schools
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