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Thomas Mgonja; Francisco Robles – Journal of College Student Retention: Research, Theory & Practice, 2024
Completion of remedial mathematics has been identified as one of the keys to college success. However, completion rates in remedial mathematics have been low and are of much debate across America. This study leverages machine learning techniques in trying to predict and understand completion rates in remedial mathematics. The purpose of this study…
Descriptors: Predictor Variables, Remedial Mathematics, Mathematics Achievement, Graduation Rate
Vincent Okot – ProQuest LLC, 2023
This descriptive correlational study examined the predictive relationships between ACT composite scores, high school GPA, ACT testing attempts, and gender with teacher candidate's overall performance on the edTPA and each of the three edTPA instructional tasks (Task 1, Task 2, and Task 3). The edTPA is a portfolio-based subject-specific teaching…
Descriptors: College Entrance Examinations, Performance Based Assessment, Preservice Teachers, Student Teachers
Rabideau, M.; Starnes, A. – PRIMUS, 2023
In this paper, we study how well SAT scores, high school GPA, and undergraduate precalculus grades relate to undergraduate calculus grades at a 4-year private nonprofit university that does not have a placement exam. In addition, we compare the success in calculus of two groups of students, both of whom require two semesters to pass calculus. The…
Descriptors: Predictor Variables, College Entrance Examinations, Grade Point Average, High Schools
Abdelfattah, Faisal A.; Obeidat, Omar S.; Salahat, Yousef A.; BinBakr, Maha B.; Al Sultan, Adam A. – Journal of Applied Research in Higher Education, 2022
Purpose: This study examined predictors of cumulative grade point average (GPA) from entrance scores and successive performance during students' academic work in university engineering programs. Design/methodology/approach: Scores from high school coursework, the General Ability Test and the Achievement Test were examined to determine if these…
Descriptors: Prediction, Validity, Scores, Grade Point Average
Logan Elizabeth Maxwell – ProQuest LLC, 2021
Community colleges experience difficulties in effectively placing students in the first college-level, gateway mathematics course. The use of one standardized exam, such as the Texas Success Initiative Assessment (TSIA) has been proven ineffective. The effectiveness of using multiple measures is not known. This quantitative predictive…
Descriptors: Mathematics Achievement, Standardized Tests, Predictor Variables, Achievement Tests
Musso, Mariel F.; Hernández, Carlos Felipe Rodríguez; Cascallar, Eduardo C. – Higher Education: The International Journal of Higher Education Research, 2020
Predicting and understanding different key outcomes in a student's academic trajectory such as grade point average, academic retention, and degree completion would allow targeted intervention programs in higher education. Most of the predictive models developed for those key outcomes have been based on traditional methodological approaches.…
Descriptors: Classification, Prediction, Artificial Intelligence, College Students
Adam J. Porcella – ProQuest LLC, 2021
The purpose of this study is to ascertain whether a student's sense of financial security can increase the degree of predictability of retention over and above the more traditional predictors typically found in the literature, and to get a better sense for how student financial security impacts student persistence decision-making in college. To…
Descriptors: Financial Needs, Grade Point Average, Academic Persistence, Decision Making
Freng, Scott – Teaching of Psychology, 2020
A transcript analysis by Freng, Webber, Blatter, Wing, and Scott found that methodology course performance and enrollment timing predicted grade point average in advanced psychology courses. The present study attempted to replicate and extend Freng et al. by using a larger sample and controlling for additional variables (methodology course…
Descriptors: Psychology, Performance Factors, Statistics, Research Methodology
Tucker, Leslie; McKnight, Oscar – Journal of College Student Retention: Research, Theory & Practice, 2019
This study assessed the feasibility of using precollege success indicators to identify at-risk students at a large 4-year public research university in the Midwest. Retention data from students who participated in an established student success program were examined. The findings affirm that the initial admissions assessment identifying at-risk…
Descriptors: Validity, Academic Achievement, College Students, At Risk Students
Cerdeira, José Miguel; Nunes, Luis Catela; Reis, Ana Balcão; Seabra, Carmo – Higher Education Quarterly, 2018
In many countries entrance to Higher Education is determined by the performance of students in secondary school and/or the scores obtained in national exams. The relative weight of these two scores on the admission decision is a relevant policy topic, given its implication on who is admitted to university. The purpose of this paper is to…
Descriptors: Predictor Variables, Grade Point Average, Scores, College Entrance Examinations
Beard, Jonathan; Marini, Jessica – College Board, 2018
The continued accumulation of validity evidence for the intended uses of educational assessment scores is critical to ensuring that inferences made using the scores are sound. To that end, the College Board has continued to collect college outcome data to evaluate the relationship between SAT® scores and college success. This report provides…
Descriptors: College Entrance Examinations, Grade Point Average, College Freshmen, Institutional Characteristics
Cohen, Richard; Kelly, Angela M. – Review of Higher Education, 2019
This study explored science, mathematics, and general academic factors that predicted outcomes for community college students (N = 3052) in a regional institution. A binary logistic regression was performed to determine significant independent variables contributing to successful outcomes (graduation or transfer) vs. non-completion. Transcript…
Descriptors: Community Colleges, Mathematics Instruction, Remedial Instruction, Prediction
Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
McFarland, Maureen R. – ProQuest LLC, 2017
Predicting flight training success has been well researched in military aviation yet there is limited information pertaining to general aviation. The purpose of this study was to determine if attributes of pilot performance could be used to differentiate students in a collegiate flight training program. Several pre-entry and flight training…
Descriptors: Aviation Education, Higher Education, Predictor Variables, Student Surveys
Takele, Silabat – Journal of Education and Practice, 2017
This is a predictive validity study which aimed at examining the validity strength of College Entrance Assessment (CEA) scores, EGSLCE (Ethiopian General School Leaving Certificate Examination) and High School Average Transcript (HSAT) in predicting college students' academic success as measured by first year CGPA. For this purpose, 2015 regular…
Descriptors: Validity, Scores, College Entrance Examinations, Multiple Regression Analysis