315,947 research outputs found

    Supporting Teaching and Learning Reform in College Mathematics: Finding Value in Communities of Practice

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    Improving college STEM (science, technology, engineering, mathematics) student learning outcomes is an ongoing area of focus in Institutions of Higher Education (IHE). This reform includes challenging, changing, and adapting both teaching practices and the learning environment. Communities of practice (CoPs) can support faculty in making these shifts; however, creating large-scale instructional changes in STEM education requires a more careful look at the existing systems and structures in place. In this paper, we investigate a network of regional CoPs composed mainly of mathematics faculty from IHE focused on teaching with inquiry methods. Understanding what faculty need and value to support their instructional changes is important as CoPs and other mechanisms are put in place to increase student success. In this qualitative study, we use the value framework developed by Wenger et al. (2011) to dissect the variety of ways faculty engage and find value in their CoP participation. Faculty participants expressed that CoP participation created unique layers of value in helping them to identify resources to support teaching with inquiry especially during a pandemic, shift their beliefs about teaching, and engage with a network of peers about mathematics and teaching. Findings from this study, conducted during the COVID-19 global pandemic, provide preliminary insights for STEM stakeholders interested in large-scale, ongoing instructional reform to improve student learning outcomes and for networks interested in collectively supporting CoPs with ongoing rather than finite goals

    The Road Map Project: 2014 Results Report

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    The Road Map Project's annual report card shows data on 29 indicators of student success, which are important measures related to student achievement from cradle through college. Data in the report are often disaggregated by district, student race/ethnicity or income level to illustrate the region's challenges and progress.The Road Map Project is a region-wide collective impact effort aiming to dramatically improve education results in South King County and South Seattle, the county's areas of greatest need. The project's goal is to double the number of students who are on track to graduate from college or earn a career credential by 2020, and to close opportunity gaps. Seven school districts -- Auburn, Kent, Federal Way, Highline, Renton, Seattle (south-end only) and Tukwila -- are among the hundreds of partners working together toward the Road Map Project's 2020 goal. The 2014 results report includes a special focus on whether the region is on track to reach the goal

    Improving Underrepresented Minority Student Persistence in STEM.

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    Members of the Joint Working Group on Improving Underrepresented Minorities (URMs) Persistence in Science, Technology, Engineering, and Mathematics (STEM)-convened by the National Institute of General Medical Sciences and the Howard Hughes Medical Institute-review current data and propose deliberation about why the academic "pathways" leak more for URM than white or Asian STEM students. They suggest expanding to include a stronger focus on the institutional barriers that need to be removed and the types of interventions that "lift" students' interests, commitment, and ability to persist in STEM fields. Using Kurt Lewin's planned approach to change, the committee describes five recommendations to increase URM persistence in STEM at the undergraduate level. These recommendations capitalize on known successes, recognize the need for accountability, and are framed to facilitate greater progress in the future. The impact of these recommendations rests upon enacting the first recommendation: to track successes and failures at the institutional level and collect data that help explain the existing trends

    Know Your Funders: A Guide to STEM Funding for Afterschool

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    The need for competency in science, technology, engineering and math (STEM) skills is not only increasingly important for success in the workforce but also to navigate the modern world and to make decisions that will inform public policy. In response to this need and to maintain the United States' global competitiveness, the federal government as well as private philanthropies and corporations are increasingly investing in a variety of STEM education initiatives.This guide serves as a tool for afterschool program leaders to navigate various funding streams and consider effective strategies to acquire funding for afterschool STEM programs. It describes the different types of funding available for STEM education in afterschool and provides tips on how to write successful proposal

    Measuring Instruction in Higher Education: Summary of a Convening

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    What will it take to improve the quality of instruction in higher education? An important first step is the ability to measure quality. A variety of measurement systems exist, but how informative are they, and how can we bring greater coherence to instructional measurement in higher education?On November 17 -- 18, 2014, the William T. Grant Foundation, the Spencer Foundation, and the Bill & Melinda Gates Foundation sponsored a convening of experts on education and the learning sciences to address these questions and to guide possible future initiatives by the foundations.The report examines incentive structures in colleges and universities, looks at the goals toward which instructional measurement can be directed, describes past and current research on instructional measurement, and summarizes potential future initiatives

    Using Random Forests to Describe Equity in Higher Education: A Critical Quantitative Analysis of Utah’s Postsecondary Pipelines

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    The following work examines the Random Forest (RF) algorithm as a tool for predicting student outcomes and interrogating the equity of postsecondary education pipelines. The RF model, created using longitudinal data of 41,303 students from Utah\u27s 2008 high school graduation cohort, is compared to logistic and linear models, which are commonly used to predict college access and success. Substantially, this work finds High School GPA to be the best predictor of postsecondary GPA, whereas commonly used ACT and AP test scores are not nearly as important. Each model identified several demographic disparities in higher education access, most significantly the effects of individual-level economic disadvantage. District- and school-level factors such as the proportion of Low Income students and the proportion of Underrepresented Racial Minority (URM) students were important and negatively associated with postsecondary success. Methodologically, the RF model was able to capture non-linearity in the predictive power of school- and district-level variables, a key finding which was undetectable using linear models. The RF algorithm outperforms logistic models in prediction of student enrollment, performs similarly to linear models in prediction of postsecondary GPA, and excels both models in its descriptions of non-linear variable relationships. RF provides novel interpretations of data, challenges conclusions from linear models, and has enormous potential to further the literature around equity in postsecondary pipelines
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