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Paterson, Kevin; Guerrero, Adam – Research in Higher Education Journal, 2023
Data from a moderately-selective state university in the Midwest is used to cross-examine the most appropriate data analytical techniques for predicting versus explaining college student persistence decisions. The current research provides an overview of the relative benefits of models specializing in prediction versus explanation with particular…
Descriptors: Prediction, Data Analysis, College Students, School Holding Power
Giani, Matt S.; Attewell, Paul; Walling, David – Texas Education Research Center, 2021
Despite advances made in broadening access to higher education, some evidence suggests that college completion rates have actually declined over time, and attainment gaps stemming from race/ethnicity and socioeconomic background have remained stubbornly persistent (Bound, Lovenheim, & Turner, 2010; National Center for Education Statistics,…
Descriptors: Access to Education, Higher Education, Graduation Rate, Academic Persistence
Christopher Cleveland; Ethan Scherer – Educational Researcher, 2025
Education leaders need valid metrics to predict students' long-term success. We use a unique data set with cognitive skills, self-regulation, behavior, course performance, and test scores for eighth-grade students from a Northeast school district. We link these data to students' high school outcomes, college enrollment, persistence, and on-time…
Descriptors: Middle School Students, Grade 8, Student Surveys, Self Evaluation (Individuals)
Teimouri, Yasser; Tabandeh, Farhad; Tahmouresi, Somayeh – Modern Language Journal, 2022
Defined as a combination of perseverance and passion for long-term goals, grit has been hypothesized to be as important as talent in determining the success of students, adding incremental predictive validity for achievement criteria above and beyond natural or inherent ability. In this study, we tested this hypothesis by comparing the effects of…
Descriptors: Predictive Validity, Second Language Learning, Second Language Instruction, Academic Persistence
Majid Elahi Shirvan; Abdullah Alamer – Journal of Multilingual and Multicultural Development, 2024
Given the recent attention to language-domain-specific grit in the field of SLA and the scarcity of research on the antecedents of L2 grit, we proposed a model that links L2 learners' basic psychological needs (BPN) (i.e. autonomy, competence, and relatedness), L2 grit (i.e. perseverance of effort (PE) and consistency of interest (CI)), and L2…
Descriptors: Correlation, Psychological Needs, Academic Persistence, Personality Traits
Zhang, Charlene; Kuncel, Nathan R. – Educational Measurement: Issues and Practice, 2020
Measures of biographical data, or biodata, provide indicators of one's life history and past experiences. Biodata information is often available in various forms during processes of academic admissions to higher education. Such information can be used, in combination with other factors, to predict students' future academic and extra-curricular…
Descriptors: Meta Analysis, Biographical Inventories, Scores, Predictor Variables
Sudina, Ekaterina; Brown, Jason; Datzman, Brien; Oki, Yukiko; Song, Katherine; Cavanaugh, Robert; Thiruchelvam, Bala; Plonsky, Luke – Innovation in Language Learning and Teaching, 2021
'Grit' has been identified as an important predictor of success in a number of academic and non-academic domains (Duckworth, A. L., C. Peterson, M. D. Matthews, and D. R. Kelly. 2007. "Grit: Perseverance and Passion for Long-Term Goals." "Journal of Personality and Social Psychology" 92: 1087-1101.…
Descriptors: Measures (Individuals), Factor Analysis, Second Language Learning, Second Language Instruction
Galla, Brian M.; Shulman, Elizabeth P.; Plummer, Benjamin D.; Gardner, Margo; Hutt, Stephen J.; Goyer, J. Parker; D'Mello, Sidney K.; Finn, Amy S.; Duckworth, Angela L. – American Educational Research Journal, 2019
Compared with admissions test scores, why are high school grades better at predicting college graduation? We argue that success in college requires not only cognitive ability but also self-regulatory competencies that are better indexed by high school grades. In a national sample of 47,303 students who applied to college for the 2009/2010 academic…
Descriptors: Grades (Scholastic), Predictor Variables, Time to Degree, Scores
Gill, Tim – Cambridge University Press & Assessment, 2022
The Extended Project Qualification (EPQ) is available for students in Key Stage 5 (KS5), to be taken alongside other qualifications, such as A levels. It differs from most other academic qualifications at KS5 because it is not examined, but instead involves students undertaking an in-depth project in an area of their choosing. Students are…
Descriptors: Foreign Countries, Secondary School Students, Exit Examinations, Independent Study
Zwolak, Justyna P.; Zwolak, Michael; Brewe, Eric – Physical Review Physics Education Research, 2018
The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely…
Descriptors: Social Networks, STEM Education, Academic Persistence, Peer Relationship
Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
Porter, Tenelle; Molina, Diego Catalán; Blackwell, Lisa; Roberts, Sylvia; Quirk, Abigail; Duckworth, Angela L.; Trzesniewski, Kali – Journal of Learning Analytics, 2020
Mastery behaviours -- seeking out challenging tasks and continuing to work on them despite difficulties -- are integral to achievement but difficult to measure with precision. The current study reports on the development and validation of the computer-based persistence, effort, resilience, and challenge-seeking (PERC) task in two demographically…
Descriptors: Mastery Learning, Resilience (Psychology), Difficulty Level, Computer Assisted Instruction
Garcia, Narciso; Jones, Don; Challoo, Linda; Mundy, Marie-Anne; Isaacson, Carrie – Research in Higher Education Journal, 2018
This mixed methods study involved a two phase analysis of how Early College High Schools influence students who graduate with <19 college credit hours, 20-39 college credit hours, or >40 college credit hours in obtaining a Bachelor's Degree. The research incorporated an explanatory sequential mixed methods design that involved collecting…
Descriptors: High School Students, College Bound Students, Academic Persistence, Mixed Methods Research
Pugh, Carol – ProQuest LLC, 2018
The topic of this study was student motivation and intention to graduate at a for-profit university. The research problem addressed is only 23% of bachelor's degree-seeking students at for-profit universities persist to graduate within six years. Students who leave without graduating incur more debt and earn less money over time. Grounded in an…
Descriptors: Bachelors Degrees, Intention, Academic Persistence, Student Motivation
Bloemer, William; Day, Scott; Swan, Karen – Online Learning, 2017
In this paper we argue that simply identifying gateway courses in which a large number of students fail or withdraw and focusing attention on them may not always be the best use of limited resources. No matter what we do, there will always be courses with high D/F/W rates simply because of the nature of their content and the preparation of the…
Descriptors: Courses, Success, Academic Persistence, School Holding Power