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De Loof, Haydée; Boeve-de Pauw, Jelle; Van Petegem, Peter – International Journal of Science and Mathematics Education, 2022
The "leaky pipeline" with regard to students' engagement in Science, Technology, Engineering, and Mathematics (STEM) has triggered extensive research to understand and prevent students dropping out from STEM. To boost enrolment and interest in STEM fields, integrated STEM (iSTEM) education could be harnessed by providing students with…
Descriptors: STEM Education, Integrated Curriculum, School Holding Power, Dropout Prevention
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Rivera, Héctor H.; Garza, Tiberio; Huerta, Margarita; Magdaleno, Raul; Rojas, Elda; Torres-Morón, Dora – Journal of Latinos and Education, 2019
This study examines a college readiness program at building resilience among economically disadvantaged Latino high school students. The aim of the program was to build resiliency among at-risk Latino youth and was implemented in a large, public, independent school district in the Southwest United States. The data were examined through pre-…
Descriptors: Resilience (Psychology), Hispanic American Students, Youth, College Readiness
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Ortigosa, Alvaro; Carro, Rosa M.; Bravo-Agapito, Javier; Lizcano, David; Alcolea, Juan Jesus; Blanco, Oscar – IEEE Transactions on Learning Technologies, 2019
This paper presents the work done to support student dropout risk prevention in a real online e-learning environment: A Spanish distance university with thousands of undergraduate students. The main goal is to prevent students from abandoning the university by means of retention actions focused on the most at-risk students, trying to maximize the…
Descriptors: At Risk Students, Dropout Prevention, Undergraduate Students, Distance Education
David Christopher Averett – ProQuest LLC, 2019
The current mixed method study examined the impact of mentoring on a selected group of at risk students attending a north Texas high school. The study compared the group of mentored students to a group of students selected from the list of at risk students attending the same high school. The study examined the grade point average, attendance, and…
Descriptors: High School Students, At Risk Students, Potential Dropouts, Dropout Prevention
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Trussel, John M.; Burke-Smalley, Lisa – Journal of Education for Business, 2018
Grounded in the concept of organizational demography, the authors investigate various demographic, precollege, and socioeconomic student-level attributes that universities readily house, and use them to create customized early warning tools to advance students' academic success. Upon a review of prior studies of sociodemographic influences in…
Descriptors: Dropout Prevention, Undergraduate Students, Business Administration Education, Student Characteristics
Bell, Brian; Costa, Rui; Machin, Stephen – Centre for Economic Performance, 2018
Prior research shows reduced criminality to be a beneficial consequence of education policies that raise the school leaving age. This paper studies how crime reductions occurred in a sequence of state-level dropout age reforms enacted between 1980 and 2010 in the United States. These reforms changed the shape of crime-age profiles, reflecting both…
Descriptors: Crime, Crime Prevention, Foreign Countries, Educational Change
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Broos, Tom; Pinxten, Maarten; Delporte, Margaux; Verbert, Katrien; De Laet, Tinne – Assessment & Evaluation in Higher Education, 2020
In this study, we present a case study involving two self-service dashboards providing feedback on learning and study skills and on academic achievement. These dashboards were offered to first-year university students in several study programmes in Flanders, Belgium. Data for this study were collected using usage tracking (N = 2875) and a survey…
Descriptors: Data Analysis, Learning Analytics, Dropout Prevention, Student Experience
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Archer, Elizabeth; Prinsloo, Paul – Assessment & Evaluation in Higher Education, 2020
Assessment and learning analytics both collect, analyse and use student data, albeit different types of data and to some extent, for various purposes. Based on the data collected and analysed, learning analytics allow for decisions to be made not only with regard to evaluating progress in achieving learning outcomes but also evaluative judgments…
Descriptors: Learning Analytics, Student Evaluation, Educational Objectives, Student Behavior
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Davidson, William B.; Beck, Hall P. – College Student Journal, 2021
The purpose of this investigation was to develop an ultra-short questionnaire that reliably predicted re-enrollment. Two binary stepwise logistic regressions were performed using re-enrollment status as the criterion. The first regression, conducted with a subsample of 4619 undergraduates, reduced 32 items drawn from the College Persistence…
Descriptors: Questionnaires, Test Construction, Identification, Predictor Variables
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Cano, Alberto; Leonard, John D. – IEEE Transactions on Learning Technologies, 2019
Early warning systems have been progressively implemented in higher education institutions to predict student performance. However, they usually fail at effectively integrating the many information sources available at universities to make more accurate and timely predictions, they often lack decision-making reasoning to motivate the reasons…
Descriptors: Progress Monitoring, At Risk Students, Disproportionate Representation, Underachievement
Varga, Shannon M.; Margolius, Max; Skubel, Anna; Cole, Marissa L.; Zaff, Jonathan F. – America's Promise Alliance, 2019
Relationships matter. What seems to be a simple truth continues to present a challenge--and significant opportunity--for those who work with youth. Research has repeatedly shown that positive relationships are an important catalyst for success, but often there's a gap between the relationships young people say they need and the relationships that…
Descriptors: Reentry Students, Dropouts, Dropout Prevention, Youth Programs
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Thomas, Jeffrey; Dyment, Janet; Hay, Ian – International Journal of Inclusive Education, 2020
This study investigates the change in students' cognitive engagement as a result of participation in a Flexible Learning Programme. Using an understanding of engagement as both a process and a relationship between the students and their school, we sought to determine whether students' perception of competency, willingness to engage, and…
Descriptors: Nontraditional Education, Learner Engagement, Cognitive Processes, Student School Relationship
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Basford, Letitia; Lewis, Joe; Trout, Muffet – Urban Review: Issues and Ideas in Public Education, 2021
The school-to-prison pipeline is a theoretical construct that explains how disproportionate discipline and exclusionary punishment of Black and Brown students ultimately pushes youth out of mainstream schools and into the criminal justice system (Basford and Lewis in From education to incarceration: dismantling the school to prison pipeline, Peter…
Descriptors: African American Students, Minority Group Students, Disproportionate Representation, Discipline
Leah Anderson – ProQuest LLC, 2021
The use of credit recovery as a high school dropout prevention strategy has rapidly increased within the last twenty years. The majority of public schools within the United States of America utilize at least one form of credit recovery. Credit recovery programs include a range of instructional delivery methods and may include various curricula and…
Descriptors: High School Students, High Schools, School Holding Power, Credits
Anahid H. Bertrand – ProQuest LLC, 2021
In recent years, the United States has focused attention and resources on increasing the number of students who graduate from high school, addressing an area of national concern: the large proportion of students who drop out of school prior to earning their diploma. As recently as 2004, more than 15% of high schools in the United States reported…
Descriptors: Dropout Prevention, Latin Americans, High School Students, High Schools
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