6 research outputs found

    Talk Debt to Me: An Applied Linguistics Approach to Exploring College Student Preferences for Student Loan Debt Letters

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    Although student loan debt has been rigorously studied over the past several decades, scant research has investigated how institutions of higher education communicate debt to current and former student borrowers. As COVID-19 forced the United States Department of Education to cancel the Annual Student Loan Acknowledgement as part of a student’s signing of the master promissory note (MPN), there are no other mechanisms for students to be aware of their student loan debt beyond a debt letter from their institution or reviewing their National Student Loan Debt System (NSLDS) portal. This applied linguistics study surveyed 2,030 current student loan borrowers attending U.S. institutions of higher education to explore their preferences for receiving a student loan debt letter. Results suggest students of Color and first-generation in college students strongly prefer shorter, simpler letters, while there were no statistically significant preferences by gender. Implications for research and practice will be addressed

    Measuring College Students\u27 with Disabilities Attitudes Toward Taking COVID-19 Vaccines

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    This survey explores attitudes of 245 currently enrolled college students with disabilities regarding their comfort taking a COVID-19 vaccine. Results suggest most college students with disabilities are willing to take a COVID-19 vaccine if their institution requires it to return to campus in subsequent semesters. However, many students with disabilities would not feel comfortable with a vaccine mandate mid-semester and would consider withdrawing, especially among older students with disabilities and first generation college students with disabilities. Implications for postsecondary policy and leadership are addressed

    Building Equitable Education Datasets for Developing Nations: Equity-Minded Data Collection and Disaggregation to Improve Schools, Districts, and Communities

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    Many studies of education engage with large datasets to attempt to solve educational problems. However, no studies have provided a systematic overview of how large datasets could be compiled with an eye toward solving educational problems related to equity, especially as it relates to racial, gender, and socioeconomic equity. This study provides a synthesis of literature and recommendations for how developing nations can learn from peers and collect, disaggregate, and analyze data in ways that promote equity, thus improving schools, school districts, and communities
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