Cultural stereotypes and professional self-socialisation in the transition from education to work

A key insight from studies of gender segregation is that the allocation of different groups to different positions in the labour market is strongly related to ascribed status. Shared gendered cultural beliefs generally portray men as more competent and of a higher status than women, and position some workers as more suited than others to perform different types of work and tasks. Yet, although much work has been done on status and gender segregation, this research tends to overlook the intersections of gender, race, and ethnicity. This study contributes to the literature by examining how skills and competence are valued in traditionally gender- segregated professions that have seen an increased influx of immigrants and ethnic minorities. Drawing on 66 qualitative interviews with Norwegian students, the study analyses, first, how gender, racial, and ethnic stereotyping of tasks and competencies affect the students’ aspirations in transition from education to work, and second, how the intersection between race, ethnicity, and gender plays out quite differently in different professions. Theoretically, I develop the concept of ‘professional self-socialisation’, which points to the process whereby individuals adapt and redefine their aspirations to the gendered, ethnic, and racial hierarchy of suitability within their profession.     

Adventures in Implementing a Testing Program

What are the ways in which a testing program can run aground? What are some suggestions for avoiding these problems?     

A subtraction experiment with six and seven year old children

This paper gives an account of an experiment involving 176 children of 6 and 7 years and their difficulties with subtraction problems. By using two screening questions, four levels of attainment were established and two teaching programmes were then devised to help the children forward to their next level. The results show that it is possible to assess a level of understanding in subtraction quickly and accurately and that, through the teaching programmes, pre-requisite skills needed to establish a sound foundation for subtraction can be taught. The experiment indicates, however, that an attempt to symbolise too soon is a danger to be avoided.     

The effect of socioeconomic background on earnings: a comparison by race

Consistent with previous studies, we find that family background variables exert significant indirect effects on earnings of both white and black males. In the case of blacks, parental income in particular exerts a significant direct effect on earnings. Education is found to be a much more important determinant of black earnings than white earnings, while job tenure has the reverse relationship. After adjustments, parental income and level of education exert the strongest effects on reducing the black-white earnings differential.     

Development of the Biology Card Sorting Task to Measure Conceptual Expertise in Biology

There are widespread aspirations to focus undergraduate biology education on teaching students to think conceptually like biologists; however, there is a dearth of assessment tools designed to measure progress from novice to expert biological conceptual thinking. We present the development of a novel assessment tool, the Biology Card Sorting Task, designed to probe how individuals organize their conceptual knowledge of biology. While modeled on tasks from cognitive psychology, this task is unique in its design to test two hypothesized conceptual frameworks for the organization of biological knowledge: 1) a surface feature organization focused on organism type and 2) a deep feature organization focused on fundamental biological concepts. In this initial investigation of the Biology Card Sorting Task, each of six analytical measures showed statistically significant differences when used to compare the card sorting results of putative biological experts (biology faculty) and novices (non–biology major undergraduates). Consistently, biology faculty appeared to sort based on hypothesized deep features, while non–biology majors appeared to sort based on either surface features or nonhypothesized organizational frameworks. Results suggest that this novel task is robust in distinguishing populations of biology experts and biology novices and may be an adaptable tool for tracking emerging biology conceptual expertise.     

Properties of the maximal correlation function

Sarmanov introduces the idea of maximal correlation function and applies it to his investigation of stationary Markov processes (1,2,3). We demonstrate some additional properties of the maximal correlation function as a measure of the dependence structure of stationary processes and present some applications of the maximal correlation function in generalizing applications of the usual correlation function to, for example, equivalent rectangular bandwidth and quadratic mean ergodicity.     

Epistemic Beliefs in Science—A Systematic Integration of Evidence From Multiple Studies

Educational Psychology Review - Recent research has integrated developmental and dimensional perspectives on epistemic beliefs by implementing an approach in which profiles of learners’...     

Mathematical Modeling in the Elementary Grades: Developing and Testing an Assessment

Mathematical modeling is a high-leverage topic, critical for college and career readiness, participation in STEM education, and civic engagement. Mathematical modeling involves connecting real-world situations, phenomenon, and/or data with mathematical models, and in this way applies across various STEM disciplines, including mathematics, engineering, and science. Although research has begun to explore mathematical modeling instruction in the elementary grades, questions remain about how to assess student learning at the elementary level. We addressed this need by designing an assessment of mathematical modeling competencies for students in grades 3 through 5. Informed by international research, our assessment includes a hybrid structure to assess mathematical modeling competencies holistically (as students engage in the complete modeling process) and atomistically (as students engage in different components of the modeling process, including making sense of phenomena and real-world situations, setting up and operating on mathematical models, and interpreting results in relation to the real-world context). We conducted student interviews, followed by two rounds of pilot testing to inform item development and ensure acceptable psychometric properties. The final assessment included 13 items (9 multiple choice, 3 open-response, and 1 complete modeling task). We describe our assessment development process, and provide sample assessment items and detailed coding rubrics. We summarize quantitative analyses which established high reliability and low standard error for our assessment, supporting its use for grades 3 to 5. Implications of our framework and assessment for mathematical modeling instruction and future research on STEM learning are discussed.