3,950 research outputs found

    Middle school students\u27 participation in extracurricular activities: Relationships to school identification and achievement

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    This study sought to build on existing research in the areas of student extracurricular activity participation, school identification, and improvement of student achievement. The purpose of this study was to determine the impact of extracurricular activity participation and school identification upon one another and their combined and individual contributions to the goal of student achievement.;The study was conducted using archival data from the 2009-2010 school year along with data from a survey that target extracurricular activity participation and school identification. Data were analyzed for a sample of 314 students out of a population of over 900 in Grades 6, 7, and 8 from two different middle schools. Students were given a survey at the start of the 2010-2011 school year, after being promoted to Grades 7, 8, and 9. The survey results provided the researcher with a school identification and extracurricular activity participation score for each student. These scores were compared to achievement data comprising the end-of-year grade point average and the mathematics and reading Virginia Standards of Learning scaled scores.;The results of the study indicated that there was a mild relationship between students\u27 participation in extracurricular activities and their identification with their school. The findings revealed no significant relationships between students\u27 participation in extracurricular activities and any of the achievement measures, or between student school identification and academic achievement

    Peningkatan Kemampuan Pemecahan Masalah Geometri dan Self-Efficacy Matematis Siswa SMA Melalui Pembelajaran Investigasi

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    Pencapaian geometri siswa mendapat poin rendah pada hasil survey dan penilaian dari tahun ke tahun berdampak pada peningkatan kemampuan pemecahan masalah geometri (PMG) dan self-efficacy matematis (SEM). Kemampuan PMG adalah kemampuan siswa memecahkan masalah jarak pada bangun ruang yang dirancang menurut level van Hiele. SEM adalah derajat keyakinan siswa terhadap kemampuan dirinya untuk benar memecahkan suatu masalah geometri. Kemampuan PMG dan SEM dapat didorong melalui kegiatan yang melibatkan proses investigasi. Proses investigasi melibatkan tahap entry, attack, review, dan extension. Penelitian ini mengkaji peningkatan kemampuan PMG dan SEM melalui pembelajaran investigasi pada siswa kelas XII-IPS tahun pelajaran 2018/2019 di satu SMA Tanjungpandan, Bangka Belitung. Penelitian ini menerapkan kuasi eksperimen dengan desain pretes-postes kelompok kontrol. Data dianalisis berdasarkan perbedaan pembelajaran, gender, dan tingkat kemampuan dasar geometri (KDG). Hasil analisis menyimpulkan bahwa terdapat perbedaan kemampuan PMG siswa signifikan berdasarkan gender dan tingkat KDG, namun tidak berdasarkan pembelajaran. Sedangkan pencapaian SEM siswa, hanya berbeda signifikan berdasarkan tingkat KDG tetapi tidak berdasarkan pembelajaran maupun gender. Pengaruh interaksi pembelajaran dan gender adalah signifikan terhadap kemampuan PMG, tetapi tidak pada pengaruh interaksi pembelajaran dan tingkat KDG. Sementara terhadap SEM siswa, hanya signifikan pada pengaruh interaksi pembelajaran dan tingkat KDG. Secara bersama-sama bahwa KDG dan kedua model SEM, yaitu mathematics test-taking dan mathematics skill, berpengaruh terhadap kemampuan PMG siswa, baik dimoderasi pembelajaran maupun gender. Studentsโ€™ achievements in geometry were low on surveys and assessments results from year to year have an impact on enhancing geometry problem solving (GPS) ability and mathematical self-efficacy (MSE). GPS ability is the studentsโ€™ ability to solve the problem of the distance in solid that was designed based on van Hiele's level. SEM is the degree of studentsโ€™ confidence in their ability to solve a geometry problem correctly. GPS ability and MSE can be encouraged through activities involving an investigative process. The investigation process involves entry, attack, review, and extension phase. This research is to study an enhancement studentsโ€™ GPS ability and mathematical self-efficacy (MSE) through investigative learning for 12th social program students in the academic year 2018/2019 at the one high school at Tanjungpandan Bangka Belitung. This research applied quasi-experiment by the pretest-postest control group design. Data were analyzed based on differences in the learning approach, gender, and the geometry ability (BGA) of basic level. The analysis result concluded that there is significant difference of studentsโ€™ GPS ability based on gender and BGA level category, but not for the learning approach. At the same time, a studentsโ€™ MSE achievement just significant different based on the BGA level but it is not for both of learning approach and gender. An interaction effect between learning approach and gender is significant toward GPS ability, but not for interaction between learning approach and BGA level. While the studentsโ€™ MSE, just significantly at the interaction effect between learning approach and BGA level. Parallely that BGA and two MSE models, that is mathematics test-taking and mathematics skill, affected to studentsโ€™ GPS ability, as well moderated by learning approach and gender

    Evaluation of Reasons that May Affect whether Academically Capable Females Choose to Major in STEM

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    The purpose of this research was to study the reasons why academically capable females choose to pursue majors in STEM (science, technology, engineering, and math) fields. A mixed-methods approach using focus groups and a survey were used. Data were gathered from the focus group sessions and used to develop the survey that was then validated and checked for reliability. After some edits, the survey was administered to female freshmen attending Western Kentucky University. Unfortunately, all female students who completed the survey except one indicated they were pursuing STEM majors. The results from this study suggest that the reasons surrounding the decision to pursue a degree in STEM are complex and multi-faceted. The reasons found to be most important for respondents centered on the need to help others, salary, room for advancement, future salary, and job security. As a result of the research compiled during this study, a survey was designed that could be utilized to gather information concerning the reasons particular female students have chosen to pursue degrees in STEM fields. The collected data from the survey could then be used to provide female students in middle and high school with the necessary supports to increase the numbers of females pursuing STEM degrees in the future

    Are Black Girls the New Number Runners? An Analysis of Black Girls and High School Mathematics

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    According to the National Science Foundation (NSF), one out of every 100 employed scientists and engineers in the United States is a Black female. This statistic prompts the examination of Black females and mathematics. How do individual-level (educational aspirations), familial-level (support), and school-level (school characteristics) variables impact Black female students\u27 proficiency in high school mathematics as well as predict their enrollment in postsecondary math courses? Employing four waves from the National Education Longitudinal Study (1988, 1990, 1992, & 1994), this study seeks to add to the discourse on achievement in mathematics by examining factors which impact outcomes in mathematics for a nationally representative sample of Black females. The theoretical framework for this dissertation will include, but not be limited to, social and cultural capital (Bourdieu and Coleman), intersectionality and standpoint (Crenshaw and Collins) theory. Variables from all three levels affected Black females\u27 achievement in high school mathematics. The score on the twelfth grade math exam was significant in predicting the likelihood that a Black female enrolled in a regular mathematics course in a postsecondary institution. The findings from this study will help inform the development of interventions and strategies aimed at increasing the mathematics proficiency of Black females and their enrollment in postsecondary mathematics courses

    An ecological perspective of science and math academic achievement among African American students

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    Using data from the National Education Longitudinal Study of 1988 (NELS:88), path analytic procedures were performed to test an ecological model of the effects of family, individual and school characteristics on the academic African American students. A distinctive study is the inclusion of school computer use in the model. The study results show that several of the variables directly or indirectly affected 12th grade academic achievement. Furthermore, most of the individual influence variables were directly related to 12 th grade achievement. Two surprising findings from this study were the insignificant effects of family income and school computer use on 12 th grade achievement. Overall, the findings support the notion that family, individual, and school characteristics are important predictors of academic success among African American students

    Based on the Data of CFPS

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ๊ต์œกํ•™๊ณผ(๊ต์œกํ•™์ „๊ณต), 2020. 8. ์œ ์„ฑ์ƒ.As Chinese society enters a period of transformation, whether the class has solidified has become the focus of public concern. Education is regarded as an important way of social mobility, and Chinese parents who always attach great importance to education have made a lot of effort for their childrens academic achievements. The influence of family background on academic performance has always been an important issue in the field of Sociology of Education. Existing related studies have only analyzed cross-sectional data and focused only on a certain region of China. To further explore the long-term effect of family background, this article uses the longitudinal data of China Family Panel Survey (CFPS) from 2010 to 2018 and applies the latent growth model to analyze the trajectory of mathematical achievements under the influence of family background. The research results show that the family background not only significantly affects the mathematical achievements of students in the early time, but also has a positive and significant impact on the long-term changes in mathematical achievements. This shows that the gap in mathematical achievements between students from advantaged families and students from the disadvantaged continues to expand over time. School education seemed not to reduce the educational inequality brought about by family background as expected. The family background functions through mechanisms such as economic capital and cultural capital. The gap in academic achievement begins in childhood, and it is difficult for students with low grades to make great progress due to the increase in the difficulty and amount of knowledge in the later stages. Under the current social and educational background in China, the predominance of family background accumulates gradually until employment. This study has a more macroscopic and at the same time, a more dynamic view of Chinas education and inequality status. It will provide opportunities and wider space for reflection and exploration of the direction of Chinas education by grasping the rationality of the current Chinese education system and the effects of schooling.๊ต์œก์€ ๊ณ„์ธต ์ด๋™์— ์žˆ์–ด ์ค‘์š”ํ•œ ๋ฐฉ์‹์œผ๋กœ ๊ฐ„์ฃผ๋˜๋ฉฐ, ํ•™์—… ์„ฑ์ทจ๋„์— ๋Œ€ํ•œ ๊ฐ€์ • ๋ฐฐ๊ฒฝ์˜ ์˜ํ–ฅ์€ ๊ต์œก์‚ฌํšŒํ•™ ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ๋…ผ์ ์ด ๋˜์–ด ์™”๋‹ค. ์ „ํ†ต์ ์œผ๋กœ ๊ต์œก์„ ๋งค์šฐ ์ค‘์‹œํ•˜๋Š” ์ค‘๊ตญ์˜ ํ•™๋ถ€๋ชจ๋“ค์€ ์˜ˆ๋กœ๋ถ€ํ„ฐ ์ž๋…€์˜ ํ•™์—…์„ฑ์ทจ๋„ ํ–ฅ์ƒ์— ๋งŽ์€ ๋…ธ๋ ฅ์„ ๊ธฐ์šธ์˜€์œผ๋ฉฐ, ์ค‘๊ตญ ์‚ฌํšŒ๊ฐ€ ๋ณ€ํ˜์˜ ์‹œ๊ธฐ๋ฅผ ๋งž์ดํ•˜๊ณ  ๊ณ„์ธต ๊ณ ์ฐฉํ™”์— ๋Œ€ํ•œ ๋Œ€์ค‘๋“ค์˜ ๊ด€์‹ฌ์ด ๋†’์•„์ง€๋ฉด์„œ ํ•™์—…์„ฑ์ทจ๋„์™€ ๊ฐ€์ • ๋ฐฐ๊ฒฝ์˜ ๊ด€๊ณ„์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ™œ๋ฐœํžˆ ์ด๋ฃจ์–ด์กŒ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋Œ€๋ถ€๋ถ„์˜ ๊ธฐ์กด ์—ฐ๊ตฌ๋“ค์€ ์ค‘๊ตญ์˜ ํŠน์ • ์ง€์—ญ์— ์ดˆ์ ์„ ๋งž์ถฐ ํšก๋‹จ๋ฉด ๋ฐ์ดํ„ฐ๋งŒ ํ™œ์šฉํ–ˆ๋‹ค๋Š” ํ•œ๊ณ„๋ฅผ ๊ฐ€์ง„๋‹ค. ์ค‘๊ตญ์—์„œ ๊ฐ€์ • ๋ฐฐ๊ฒฝ์ด ํ•™์ƒ๋“ค์˜ ํ•™์—…์„ฑ์ทจ๋„์— ์žฅ๊ธฐ์ ์œผ๋กœ ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ž์„ธํžˆ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด ๋ณธ๋ฌธ์€ 2010 ๋…„๋ถ€ํ„ฐ 2018 ๋…„๊นŒ์ง€ ์‹ค์‹œ๋œ ์ค‘๊ตญ ๊ฐ€์ • ํŒจ๋„ ์กฐ์‚ฌ (China Family Panel Survey: CFPS)๋ผ๋Š” ์ข…๋‹จ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์˜€๋‹ค. ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจ๋ธ๋ง์œผ๋กœ ์ž ์žฌ์„ฑ์žฅ๋ชจํ˜•์„ ์ด์šฉํ•ด์„œ ๊ฐ€์ • ๋ฐฐ๊ฒฝ์— ๋”ฐ๋ฅธ ์ˆ˜ํ•™ ์„ฑ์ทจ๋„์˜ ๋ณ€ํ™” ์ถ”์„ธ๋ฅผ ์‹ค์ฆ์ ์œผ๋กœ ํƒ๊ตฌํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ, ๊ฐ€์ • ๋ฐฐ๊ฒฝ์ด ํ•™์ƒ๋“ค์˜ ์ดˆ๊ธฐ ์ˆ˜ํ•™ ์„ฑ์ทจ๋„์— ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ๋ผ์น  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์žฅ๊ธฐ์ ์ธ ๋ณ€ํ™”์œจ์—๋„ ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฒƒ์„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์‚ฌํšŒ๊ฒฝ์ œ์  ๋ฐฐ๊ฒฝ์ด ์ข‹์€ ํ•™์ƒ๋“ค๊ณผ ๊ทธ๋ ‡์ง€ ์•Š์€ ํ•™์ƒ๋“ค ๊ฐ„ ์ˆ˜ํ•™ ์„ฑ์ทจ์˜ ์ฐจ์ด๊ฐ€ ์‹œ๊ฐ„์ด ์ง€๋‚จ์— ๋”ฐ๋ผ ๊ณ„์† ํ™•๋Œ€๋˜๊ณ  ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ์ค‘๊ตญ์—์„œ ํ•™๊ต ๊ต์œก์€ ๊ฐ€์ • ๋ฐฐ๊ฒฝ์œผ๋กœ ์ธํ•œ ๊ต์œก ๋ถˆํ‰๋“ฑ์„ ๊ฐ์†Œ์‹œํ‚ค์ง€ ๋ชป ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ๊ฐ€์ •์˜ ๊ฒฝ์ œ์ž๋ณธ, ๋ฌธํ™”์ž๋ณธ ๋“ฑ ๋ฉ”์ปค๋‹ˆ์ฆ˜์œผ๋กœ ์ธํ•œ ํ•™์—…์„ฑ์ทจ ๊ฒฉ์ฐจ๋Š” ์–ด๋ฆฐ ์‹œ์ ˆ๋ถ€ํ„ฐ ์‹œ์ž‘๋˜๊ธฐ ๋•Œ๋ฌธ์— ์ดˆ๊ธฐ์— ๋‚ฎ์€ ์„ฑ์ ์„ ๊ฐ€์ง„ ํ•™์ƒ๋“ค์€ ํ•™๋…„์ด ์˜ฌ๋ผ๊ฐ€๋„ ์ง€์‹์˜ ๋‚œ์ด๋„์™€ ์–‘์˜ ์ฆ๊ฐ€์— ๋”ฐ๋ฅธ ๋ฐœ์ „์„ ์ด๋ฃจ๊ธฐ๊ฐ€ ์–ด๋ ต๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ์ด๋ ‡๊ฒŒ ์ค‘๊ตญ์˜ ๊ฐ€์ • ๋ฐฐ๊ฒฝ์— ๋”ฐ๋ฅธ ๊ต์œก ๊ฒฉ์ฐจ๋Š” ์‚ฌํšŒ์— ์ง„์ถœํ•  ๋•Œ๊นŒ์ง€ ๋‹จ๊ณ„์ ์œผ๋กœ ๋ˆ„์ ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ค‘๊ตญ์˜ ๊ต์œก ๋ฐ ๋ถˆํ‰๋“ฑ์— ๋Œ€ํ•œ ๋” ๊ฑฐ์‹œ์ ์ด๊ณ  ์—ญ๋™์ ์ธ ์ดํ•ด๋ฅผ ํ†ตํ•ด, ํ˜„์žฌ ์ค‘๊ตญ ๊ต์œก ์‹œ์Šคํ…œ์˜ ํ•ฉ๋ฆฌ์„ฑ๊ณผ ํ•™๊ต๊ต์œก์˜ ํšจ๊ณผ๋ฅผ ํŒŒ์•…ํ•˜๋ ค๊ณ  ํ•œ๋‹ค. ์ด๋Š” ํ–ฅํ›„ ์ค‘๊ตญ์˜ ๊ต์œก์ด ๋‚˜์•„๊ฐˆ ์ˆ˜ ์žˆ๋Š” ๋ฐฉํ–ฅ์— ๋Œ€ํ•œ ๋ฐ˜์„ฑ๊ณผ ํƒ๊ตฌ์˜ ๊ธฐํšŒ๋ฅผ ์ œ๊ณตํ•  ๊ฒƒ์ด๋‹ค.Chapter I. Introductionโ€‹ 1 Chapter II. Literature Reviewโ€‹ 8 2.1. Social Stratification and Educational Inequality โ€‹8 2.2. Chinese Society and Educationโ€‹ 13 2.3. Family Background and Academic Achievement โ€‹17 Chapter III. Methodologyโ€‹ 27 3.1. Dataโ€‹ 27 3.2. Variables โ€‹29 3.2.1 Dependent variables โ€‹29 3.2.2 Explanatory variables โ€‹31 3.2.3 Control Variables โ€‹32 3.3. Analysis process and research model โ€‹33 Chapter IV. Findingsโ€‹ 35 4.1. Descriptive statistics and analysis of correlation โ€‹35 4.2. The Trends of Mathematical Achievement โ€‹37 4.3. Analysis of Mathematics achievement within SEM โ€‹40 4.3.1 The trend of longitudinal changes in math scores โ€‹40 4.3.2 Conditional model of changes in math scores โ€‹44 Chapter V. Conclusion โ€‹49 References โ€‹66 Abstract in Korean โ€‹76 Appendix๏ผšQuestionnaire Survey โ€‹77Maste

    Can Less Be More? Study Load and Its Effect on Science Achievement Among Chinese Eighth-Grade Students

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    The present study addressed a core research question of โ€œCan less be more?โ€ concerning study load, which has become increasingly worrisome and controversial around the world. This idea reflects the philosophy of pursuing efficiency and effectiveness on learning, namely that a lighter study load may result in more successful academic achievement. The study adopted the IPO (input-process-output) model to address five interrelated research questions: 1) What are the structural characteristics of study load? 2) Is there any individual difference in study load? 3) What are the characteristics of teachers and schools under which students tend to have a heavier study load? 4) What are the effects of study load on science achievement without and with adjustment for student, teacher, and school characteristics? and 5) What characteristics of teachers and schools can moderate the relationship between study load and science achievement? Data were drawn from the 2016 Program for Regional Assessment of Basic Education Quality (PAEQ). The sample included 40,536 students and 946 teachers in science (biology, physics, and geography) from 118 Chinese middle schools. Ascribe to multiple memberships existed at the teacher level for most students, meaning most students were taught by more than one science teacher, the current analyses employed three-level multiple membership multilevel models (MMMM), in which the Marko Chain Monte Carlo (MCMC) method was utilized to estimate parameters. The present study revealed that among Chinese eighth graders, on average a daily study load was nine hours on weekdays (six hours in-school learning, two to three hours doing homework, and half an hour after-school learning) and eight hours on weekends (three hours learning in school, three to four hours doing homework, and one and half an hour learning after school). Overall, students with higher SES, students who came from both-parent families, and native students had a heavier total study load. Under homeroom teachers, male teachers, teachers who had been teaching more than 10 years, and teachers who more often applied inquiry-based approaches to science classes, students tended to have a heavier study load. Meanwhile, in schools with higher mean SES, higher mean academic pressure and parental involvement, higher school autonomy, as well as less principal demographic leadership, students tended to have a heavier study load. Furthermore, the present study displayed that, after we adjusted for student, teacher, and school characteristics, in-school learning time on weekends was the only component of study load maintained a significant and negative effect on science achievement. Teacher gender and several school characteristics, such as mean SES, mean academic pressure and parental involvement, principal leadership, and school autonomy, were salient moderators of the association between study load and achievement. In order to answer the core research question, using the established equations from full MMMMs, three examples were illustrated that reducing individual study load and fostering school climates with lower academic pressure and less parental involvement in academic activities can result in more successful studentsโ€™ achievement in science. Consequently, we argue that the answer to the question of โ€œCan less be more?โ€ is likely on the โ€œyesโ€ side. Finally, implications for policies and practices in education as well as directions for future research were discussed

    An Analysis Of Predictors Of Enrollment And Successful Achievement For Girls In High School Advanced Placement Physics

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    A problem within science education in the United States persists. U.S students rank lower in science than most other students from participating countries on international tests of achievement (National Center for Education Statistics, 2003). In addition, U.S. students overall enrollment rate in high school Advanced Placement (AP) physics is still low compared to other academic domains, especially for females. This problem is the background for the purpose of this study. This investigation examined cognitive and motivational variables thought to play a part in the under-representation of females in AP physics. Cognitive variables consisted of mathematics, reading, and science knowledge, as measured by scores on the 10th and 11th grade Florida Comprehensive Assessment Tests (FCAT). The motivational factors of attitude, stereotypical views toward science, self-efficacy, and epistemological beliefs were measured by a questionnaire developed with question taken from previously proven reliable and valid instruments. A general survey regarding participation in extracurricular activities was also included. The sample included 12th grade students from two high schools located in Seminole County, Florida. Of the 106 participants, 20 girls and 27 boys were enrolled in AP physics, and 39 girls and 20 boys were enrolled in other elective science courses. Differences between males and females enrolled in AP physics were examined, as well as differences between females enrolled in AP physics and females that chose not to participate in AP physics, in order to determine predictors that apply exclusively to female enrollment in high school AP physics and predictors of an anticipated science related college major. Data were first analyzed by Exploratory Factor Analysis, followed by Analysis of Variance (ANOVA), independent t-tests, univariate analysis, and logistic regression analysis. One overall theme that emerged from this research was findings that refute the ideas that females have lower achievement scores, lower attitude, lower self-efficacy, and more stereotypical views regarding science than males. Secondly, the only significant differences found between males and females enrolled in AP physics were for stereotypical views toward science and one factor from the epistemological views questions, both of which favored females. Although the non AP boys significantly outscored non AP girls on science FCAT scores, the only other significant differences found between these groups of students were related to attitude, with the girls scoring higher than the boys on both counts. There were significant differences found for numerous variables between AP and non AP females, however, most of the same differences were found between the two ability groups of male students as well. This leads to the conclusion that these factors certainly play an important role in AP physics enrollment for both genders. But the few significant differences found exclusively between the two female ability groups; reading ability, stereotypical views toward science, and the epistemological beliefs regarding branches of physics being related by common principles and aspects of physics need to be inferred instead of directly measured, may play a more important role in increasing enrollment numbers of females

    Change the game, not the girl: Understanding the role of gender-science stereotypes in science competitions

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    Science competitions do not seem as appealing to girls as they do to boys. Even though participation in a science competition is linked to promoting science interest, self-beliefs, and future science careers, girls seem more reluctant to join, and are less successful than boys. As hundreds of thousands of secondary school students take part in a science competition each year, these out-of-school science activities could be a significant source for gender inequity. This is why in depth research to understand success and failure in science competitions, the mechanisms behind them, and the role of gender are of great importance. Although several studies reported about gender differences in science competitions, no systematic analysis of the gender gap is available to date. The first aim of this dissertation was therefore to determine the status quo on gender differences in science competitions and to identify theoretical frameworks and factors explaining participation and achievement. Since prior publications in the context of both science education and science competitions have indicated gender-science stereotypes as the main negative influence on female self-beliefs, the second aim of this dissertation was understanding the role of gender-science stereotypes in mechanisms explaining participation and achievement. By means of a systematic review, publications on science competitions were analyzed to determine the degree of the gender gap and identify factors and theories explaining participation and success. Participation and achievements in science fairs were comparable, but gender differences were found to be especially large in science Olympiads. Especially in the physics and chemistry Olympiad, gender-science stereotypes were suggested to have a negative influence on female self-concept and interest, thereby affecting participation and achievements. Eccles et al.โ€™s (1983) expectancy-value theory of achievement motivation was recommended as most suitable theoretical framework for explaining gender differences. Subsequently, a moderated mediation analysis was performed to examine gendered participation and success in the German chemistry Olympiad on the basis of expectancy-value theory. The results confirmed the negative impact of gender stereotypes on girls. Although female self-concept and interest positively predicted further participation, gender-science stereotypes were found to negatively predict further participation. Interest was found to mediate this relationship between stereotypes and participation. There was no link between self-concept and stereotypes, but self-concept did predict achievement for male and female participants. Interest positively predicted male participants' willingness to continue with the competition. Finally, a latent profile analysis was executed to characterize profiles distinguished by career motivation, interest, and domain identification. Four profiles were identified and participant membership was predicted by gender-science stereotype endorsement, support from parents and teachers, and gender. Profile membership of the least successful profile harboring the most girls, had the strongest link with gender-science stereotypes and the weakest link with support from parents. In summary, the findings reported in this dissertation stressed the need for change in science competition structures to help diminish the negative effects of gender-science stereotypes on girls. Further research could contribute to understanding the relation between different science competitions, science education, and top performers in science education. Furthermore, future research could provide more insight into the role of parents and teachers and the influence of participation in science competitions on students. Changes and interventions improving gender equity of science competitions could be focused on strengthening female self-concept through role models, actively involving teachers, providing authentic and ungendered career information, and involving parents in the fight against gender stereotypes. In the future, this research could be extended to other minority groups and make a decisive contribution to reducing inequity in science education

    Adolescents' motivation to study music as compared to other school subjects: A Singaporean perspective

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    The purpose of this study was to examine the expectancies and task values held by Singaporean adolescents about learning music and other school subjects (English, Mathematics, Science, Physical Education, and Art) across Primary 6, Secondary 1, and Secondary 2 levels (Grades 6 to 8). The data was analyzed according to gender and music student status (music students, high aspiring non-music students, low aspiring non-music students) in order to provide suggestions that would foster music instruction within the Singaporean school system. A total of n = 1,733 participants from three primary and four secondary schools in Singapore completed a web-based survey questionnaire that was grounded in the Eccles and Wigfield expectancy-value theoretical framework as adapted in a series of studies by McPherson and his colleagues. The study found that music and non-music students held different perceptions of competence and valuing about school music. School music was generally less valued by students, particularly the low aspiring non-music students, when compared to the other school subjects. In addition, it was found that valuing of music among older adolescents was lower than their younger counterparts. Finally, the study found that studentsโ€™ perceived usefulness of school music predicted their intention to enroll in instrumental music instruction outside of school. Implications arising from the study highlight the need for the music profession to evolve studentsโ€™ negative attitudes towards school music. Providing students with positive classroom musical experiences and adopting differential teaching approaches to cater to studentsโ€™ varied motivational profiles towards studying music in school were suggested as ways of raising the status of school music education. The need to assert and substantiate the role music can and should play in the education of all children is a continuing challenge within the Singapore education system, but one that must be addressed if school music is to become a more prominent subject within schools
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