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Learn how to use the placement process to build more equitable, student-centered colleges using findings from a national research study funded by the Ascendium Education Group.
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Using Self-Efficacy for Improving Retention and Success of Diverse Student Populations (Ask About Me: The Self-Efficacy of First-Generation Students)

Damaris Colon-Alverio & Johnson / IGI Global / October 2022

Using Self-Efficacy for Improving Retention book cover

This chapter will serve as a literature review of first-generation college students. The authors will discuss the definition of being first-generation. Additionally, there will be concentration on the barriers faced at both the pre-college and college levels, along with recommendations for individual and institutional support. To further highlight the self-efficacy of first-generation students, personal narratives will be used to tell their stories about their own experiences. Lastly, using a strengths-based model approach, the authors will uncover what institutions can do to recruit but retain this student population.

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Using data from the Education Longitudinal Study, this study uses descriptive statistics, regression analyses, and group comparisons to examine differences between first-generation students and continuing-generation students across STEM degree, non-STEM degree, dropout, and no degree completion.

The Review of Higher Education / March 2020
First-generation Students as a Specialty Population

This chapter provides evidence-based strategies for timely and effective counseling of first-gen students and families.

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This study details a new continuum that better captures how students are differentially positioned in social space, and identify three clusters based on their capacity to mobilise capital.

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There are many ways that schools can proactively address the inevitable and inequitable gaps caused by coronavirus-related school closures.

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This article examines the predictors of financial anxiety, including generational status, using the Roy Adaptation Model and ordinary least squares (OLS) regression analysis on data from a large, Midwestern public university.

Journal of Financial Counseling and Planning / March 2020