<p> Women are underrepresented in the STEM workforce. Trends are starting to change as more and more women are starting to choose majors that are related to STEM. However, the numbers decline sharply in engineering, physical sciences and computer sciences. This project was created as a resource to be used in schools to encourage the increase of women studying, and eventually working, in STEM fields. Research has shown that many women who choose STEM majors and careers were heavily influenced by informal STEM enrichment opportunities outside of the school day and female role models in STEM. This project is an NGSS aligned lesson that incorporates a historical vignette highlighting the work of a female scientist. The vignette can be used in a lesson or as a pull out in a different class or program.</p><p>

<p> Functional Data Analysis (FDA) has attracted substantial attention for the last two decades. Within FDA, classifying curves into two or more categories is consistently of interest to scientists, but multi-class prediction within FDA is challenged in that most classification tools have been limited to binary response applications. The functional logistic regression (FLR) model was developed to forecast a binary response variable in the functional case. In this study, a functional nominal multinomial logit regression (F-NM-LR) model was developed that shifts the FLR model into a multiple logit model. However, the model generates inaccurate parameter function estimates due to multicollinearity in the design matrix. A generalized partial least squares (GPLS) approach with cubic B-spline basis expansions was developed to address the multicollinearity and high dimensionality problems that preclude accurate estimates and curve discrimination with the F-NM-LR model. The GPLS method extends partial least squares (PLS) and improves upon current methodology by introducing a component selection criterion that reconstructs the parameter function with fewer predictors. The GPLS regression estimates are derived via Iteratively ReWeighted Partial Least Squares (IRWPLS), defining a set of uncorrelated latent variables to use as predictors for the F-GPLS-NM-LR model. This methodology was compared to the classic alternative estimation method of principal component regression (PCR) in a simulation study. The performance of the proposed methodology was tested via simulations and applications on a spectrometric dataset. The results indicate that the GPLS method performs well in multi-class prediction with respect to the F-NM-LR model. The main difference between the two approaches was that PCR usually requires more components than GPLS to achieve similar accuracy of parameter function estimates of the F-GPLS-NM-LR model. The results of this research imply that the GPLS method is preferable to the F-NM-LR model, and it is a useful contribution to FDA techniques. This method may be particularly appropriate for practical situations where accurate prediction of a response variable with fewer components is a priority.</p><p>

There were two purposes set out in this study, first to identify the principal associations with educational performance of Scottish students as reported in the 2007 wave of the Trends in International Mathematics and Science Study (TIMSS2007), and second to evaluate methods of data analysis where sample surveys use plausible value (PV) methodology. Four sets of data were used for the secondary analysis of TIMSS2007, with student's responses to cognitive items and questionnaire data emanating from two stages (G$ and G*) that each addressed two disciplines (mathematics and science). Explanatory models for each stage and discipline were analysed using hierarchical linear modelling techniques to accommodate the cluster sample design of the survey. Guided by existing literature in STEM education the study examined elements of students' learning experiences that fell within a social constructivist theory of learning to ascertain whether the empirical data supported current claims on effective practice. A number of control variables were included in the analyses, some well-established constructs and others derived from background questionnaires. Overall, the results showed that selected background characteristics were consistently related to mathematics and science achievement. The strength of association with home resources, and although girls were generally associated with lower achievement scores, that gender association was strongest in G4 mathematics achievement. The findings suggest there is limited support for current claims in respect of a reform agenda that privileges discussion and collaborative group work. Other policy initiatives on assessment for learning and using technologies in class are not supported in the data, with either no evidence of association or a significant negative effect in the models of mathematics and science achievement. Aspects of practical work and scientific enquiry are positively associated with G4 science achievement, with particular credence given to 'doing' and 'watching' experiments or investigations, buy there is no association with achievement scores at G8 for any of planning, watching or conducting experiments. This latter finding provides empirical evidence of difference across stages on an aspect of practice that is heavily debated. The primary method of analysis utilised a four-level structure, with PV as the unit of analysis. Substantive findings were compared with alternative methods: first making the dependent variable an average of the five PVs; second using one PV as the response variable; and third computing statistics from all five PVs and merging results using Rubin's Rules for combining multilevel method underestimates standard errors in the model in the same way as witnessed for the average of PVs. This leads to the conclusion that the only valid route to analysing imputed data is through Rubin's method of combining results from all five PVs.

This study focused on the selection of programming languages in Computer Programming I classes (CS1) in four-year colleges and universities from North Carolina. The objectives were to identify differences in faculty and student views about the programming languages used in the first computer programming class and to see if demographic variables as well as type of school, job market in the region, quality and amount of experience with programming languages and/or computers correlated with the selection of the language. The study also solicited judgements about important factors for choosing a particular programming language and reasons which seemed to have influenced this selection. The study also determined how well the students and faculty in these first computer programming classes agreed on the selection of the languages and the factors which led to the selection. Three instruments were used to accomplish the above objectives. One was a survey questionnaire sent to twenty four-year colleges and universities in North Carolina in May 1993. Second was a survey questionnaire administered to 322 students from Computer Programming I from these schools in North Carolina during Spring and Fall semesters of 1993. Third was an open-ended interview of 20 faculty. Results of the student survey questionnaire showed that Pascal was the language respondents had the most experience with, and it was the most heavily used language among them, followed by BASIC, COBOL, and C/C++. The top three reasons for learning these languages were: job market demands, someone's advice, and popularity of the language. If the students were given a chance of learning a first programming language all over again, their number one choice would be Pascal followed by C/C++. The top three reasons for this selection were that the language was used in the other computer science courses, they wanted to learn the language, and it was an easy language to learn. Results of the faculty survey questionnaire showed that Pascal was the most widely taught first and second programming language, and C/C++ would be their number one choice for a new first programming language when and if they were going to make another selection. Job market requirements, design and structure of a language that implements modularity, concurrency, reusable code, and competition from other area schools were the top reasons in the selection process of a first programming language. Examination of some variables as possible predictors of these first programming languages revealed the following: (1) strong correlation between the selection of a first programming language and such factors as compiler cost, compiler availability, teaching staff knowledge, hardware availability, and cost of a language; (2) strong correlation between the type of a school and such factors as ability of a language to form good programming habits, availability of the language, modularity, parameters, ease of design and structure of the language, and a language which provides job related skills, and is usable in the real world. The follow-up interviews seemed to show that a significant number of faculty had been thinking about changing to a new first programming language. In other words, the Pascal era was going to end soon, and a replacement for Pascal was going to be either C or C++. It was also clear that most of the faculty were trying to follow the ACM guidelines whether or not they agreed with them.

This study was designed to evaluate the effectiveness of a computer-based outreach programme that addresses one aspect of a national strategic recommendation in South Africa. This outreach programme, which started in 1982, was in its twentieth year of existence in 2001 and provided support in mathematics and physical science to Grade 12 students and teachers from historically disadvantaged schools. This study examined the role that the outreach programmes played at two schools during 2001 and endeavoured to provide an analysis of the intended, implemented, perceived and achieved programmes for this year. Therefore, the purpose of this study was to investigate the effectiveness of this outreach programme in providing support to both teachers and students in the teaching and learning of mathematics and physical science. The goals and objectives of the outreach programme (the intended programme) were identified from documentation of the Outreach Project and interviews with Outreach Project managers. In addressing the implementation of the outreach programme (the implemented programme), lessons at each of the two, Mini-Computer Supported Education Centres (MICSECs) were observed over a period of four months. At one centre (Centre A), the lessons consisted of a formal (talk-and-chalk) presentation followed by an informal part when students worked on the computer in the same period. At the second centre (Centre B), the MICSEC was used as an adjunct to the normal classroom lesson, that is, students were taught in their normal classrooms and then, at least once a week, taken by their teacher to the MICSEC to do problem-solving on the computers. The perceptions of students (the perceived programme) were examined by an actual and preferred version of the Computer-Assisted Learning Environment Questionnaire and by interviews conducted with both individual students and groups. / At Centre A, the students preferred more involvement, more open-endedness, more organisation and more learning assessment opportunities in their computer-assisted classes but also less integration of computers in their every day classes whilst desiring investigation procedures in their classes to remain the same. At Centre B, students preferred to be more involved, to have more open-ended activities in their classes, have more learning assessment opportunities and a greater level of integration of computers but a reduction in investigative activities. Findings from student interviews were summarised as reflecting three viewpoints with regard to the inclusion of computer-assistance in classes. Students holding one viewpoint considered the inclusion of computer-assisted learning as important to their learning and were convinced that their interaction with the computer, fellow-students and teacher, led to an improvement in their learning. Students holding the second viewpoint conveyed a message of insecurity in the use of computers for they were not sure whether their working with computers made any difference to their learning. Many students' views were somewhere between the first and the second viewpoints which left the impression that these students were not convinced that using the computers would guarantee them success in the final examination. The third viewpoint was strongly articulated by a group of three students at Centre A and to a lesser degree at Centre B (one student), who considered that the new computer-assisted classes played no role in their learning and that teacher-centred classes would produce better results. The extent to which the outreach programme met its objectives (the achieved programme) included improved student performance on the matriculation examinations. / Teachers and students were generally positive of the support that they received but indicated that more computer terminals were required to address students' individual needs. The mean achievement of students at both schools improved in both mathematics and physical science, but more so in physical science. The MICSECs mainly served as a resource to students at the school where the centres were based and provided limited computer skills to students from historically disadvantaged backgrounds. The findings of this study provided insight into the implementation of computer-assisted classes in two disadvantaged schools and the results can serve as baseline data for conducting research into computer-assisted learning environments in other secondary school grades in South Africa. However, it should be noted that students at the Grade 12 level also wanted a continuation of, indeed more of, teacher-centred teaching, in addition to the computer-assisted classes because of the perceived competency of teachers in helping them perform well in the matriculation examination.

Professions and careers related to science and mathematics lack representation of minorities. Within these underrepresented minority populations there is no other group more affected than Latina women and girls. Women in general, are still underrepresented in many areas of our society. While women's roles are changing in today's society, most changes encourage the participation of more White/Anglo women in traditionally male roles. Latina women are still more disadvantaged than White women. There is no doubt that education is significant in increasing the participation of minorities in the fields of science and mathematics, especially for minority girls (Oakes, 1990; Rodriguez, 1993). This study explored the interests, life experiences, characteristics and motivations of Latina girls of Puerto Rican origin who are successful in science and mathematics high school courses. The study identifies factors that can influence the interest of Latina girls of Puerto Rican origin in science and mathematics career choices. This research is significant and relevant to educators and policy makers, especially to science and mathematics educators. The research is primarily descriptive and exploratory. It explores the social characteristics of Latina girls and professional women who have been successful in science and mathematics high school courses. The research offers the reader a visit to the participants' homes with descriptions and the opportunity to explore the thoughts and life experiences of Latina girls, their mothers and young Latina professionals of Puerto Rican origin. This research reveals the common characteristics of successful students found in the Latina girls of Puerto Rican origin who where interviewed. Creating a portrait of Latina girls of Puerto Rican origin who are successful in science and mathematics high school courses in one of the school districts of western Massachusetts. The research findings reveal that teacher relationships, family expectations, mother's support, mother - daughter relationship, cultural pride, talent recognition, the girls' perception of teachers and school and the girls strong desire to change their economic situation contribute to their success in school regardless of their low socio-economic backgrounds.

This study explores the career progression and life history of black mathematicians and scientists who teach on university faculties in the United States. It investigates the following questions: Why are there so few black mathematicians and scientists in colleges and universities in the United States? What is the experience of black students who express an interest in science and math? What barriers do black scientists and mathematicians face as they move through school towards their career in higher education? What factors facilitate their success? The current literature shows that there are few women and minorities teaching or working in math and science compared to white men, although reasons for this underrepresentation are still not well understood. I explored this phenomenon by conducting two sets of in-depth interviews with twelve black faculty, six women, six men, from both historically black and predominantly white higher educational institutions in the United States. My interviews were based upon a life history approach that identified the participants' perceptions of the barriers and obstacles, as well as the supports and facilitators encountered in their schooling and career progression. The findings from the study show the importance of a strong family, community, and teacher support for the participants throughout their schooling. Support systems continued to be important in their faculty positions. These support systems include extended family members, teachers, community members, supervisors, and classmates, who serve as role models and mentors. The life study interviews provide striking evidence of the discrimination, isolation, and harassment due to race and gender experienced by black male and female mathematicians and scientists. The racial discrimination and the compounding effect of racism and sexism play out differently for the male and female participants in this study. This study suggests directions for future research on the experiences of young black students who are currently in the math and science educational pipeline. It also offers recommendations for ways in which parents, teachers, administrators, faculty, advisors, and government officials can enhance the educational experiences of black students who express interest and have skills in math and science.

Culturally responsive education has been an actual topic in teacher education for decades, but most teachers still finish their education without appropriate knowledge and skills for teaching in culturally and linguistically diverse classrooms. Providing quality education to diverse learners remains a challenge, particularly in the fields of mathematics and sciences. The purpose of this systematic literature review was to describe intervention programs preparing in-service and pre-service math and science teachers for teaching in culturally diverse classrooms, and the outcomes of such programs. A search for scholarly journals evaluating such intervention programs has been carried out in several databases, resulting in nine articles included in the analysis. Intervention programs described in these articles covered several important aspects of culturally relevant education and had a limited success in developing cultural responsiveness of teachers. The construct of culturally relevant education is complex and multi-layered, and thus hard to measure without simplifying it to measurable constructs. Limitations of the study and implications for the future research and practice are discussed.

This presentation tells the story of two partnerships co-initiated by the ETSU Center of Excellence in Mathematics and Science Education. The first partnership, Eastman Scholar MathElites, demonstrates how a 7+ year partnership between business and an institute of higher education (Eastman-ETSU) has brought a regional impact in Grades 3-8 math. The second partnership, G6-12 Science and Literacy project, introduces how a local education agency and institute of higher education (Hawkins County Schools-ETSU) have worked together to provide teacher professional development (PD) that focuses on Grades 6-12 English Language Arts and Science. This PD seeks to build confidence and understanding about using reading as a tool to understand STEM literacies. These two programs do not only benefit K-12 education in the Northeast Tennessee region, but also bring practical implications for future development in state-wide and national issues.

The objective of this research is to explore the perceptions of UCF Upward Bound Program participants using focus groups and pre-posttest surveys in order to assess students' level of understanding of Science, Technology, Engineering, and Mathematics (STEM) related coursework, secondary education preparation in science and mathematics, and their perceptions of barriers to a STEM college education. Also, this study centers on the summer 2010 science and mathematics residential portion of the Upward Bound Program. Program outcomes and effectiveness were evaluated based on the change in student insight of the Upward Bound Program's stake in their secondary education. In addition, pre-posttest measures and interviews allowed a greater understanding of teacher and parent involvement in high school coursework success. Factors that involve self-efficacy, same or other group orientation and perceptions of student college environment were also analyzed. This research facilitated the understanding of first generation, low income and multicultural student's perceptions and what they view as a benefit or a hindrance to entering and successfully completing degrees in post-secondary institutions, specifically in STEM-related disciplines.