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Hubert Izienicki – Teaching Sociology, 2024
Many instructors use a syllabus quiz to ensure that students learn and understand the content of the syllabus. In this project, I move beyond this exercise's primary function and examine students' syllabus quiz scores to see if they can predict how well students perform in the course overall. Using data from 495 students enrolled in 18 sections of…
Descriptors: Tests, Course Descriptions, Performance, Predictor Variables
MD, Soumya; Krishnamoorthy, Shivsubramani – Education and Information Technologies, 2022
In recent times, Educational Data Mining and Learning Analytics have been abundantly used to model decision-making to improve teaching/learning ecosystems. However, the adaptation of student models in different domains/courses needs a balance between the generalization and context specificity to reduce the redundancy in creating domain-specific…
Descriptors: Predictor Variables, Academic Achievement, Higher Education, Learning Analytics

Toby J. Park-Gaghan; Christine Mokher; Taylor Burtch; Morgan Danyi – Grantee Submission, 2024
Florida State University researchers spent the last year collecting and analyzing data on corequisite developmental education (DE) models in Texas as part of a four-year study that received a $1.5M grant from the U.S. Department of Education's Institute of Education Sciences. This study was proposed in response to Texas House Bill (HB) 2223, which…
Descriptors: Developmental Studies Programs, Remedial Instruction, Required Courses, Models
Liset Rouweler; Ben Maassen; Sanne Oud; Barry de Groot; Wim Tops – European Journal of Special Needs Education, 2025
Reading is one of the most important skills in higher education. Various students show problems with reading, which can lead to problems with text decoding, reading comprehension, or both. In this study, we investigate the L1 (Dutch) and L2 (English) reading comprehension performance of students with and without dyslexia. Participants were…
Descriptors: Foreign Countries, Native Language, Second Languages, Reading Comprehension
Sorensen, Erik A.; Keil, Evan D. – Journal of College and University Student Housing, 2021
Significant literature exists exploring interview and selection processes broadly, but little research specific to Resident Assistant (RA) interviews is available. Studies on RA interview processes include quantitative studies connecting interview scores to job performance or discussions of bias within processes. The purpose of this qualitative…
Descriptors: Dormitories, Resident Advisers, Employment Interviews, Personnel Selection
Cabero-Almenara, Julio; Gutiérrez-Castillo, Juan Jesús; Guillén-Gámez, Francisco D.; Gaete-Bravo, Alejandra F. – Technology, Knowledge and Learning, 2023
The purpose of the present study is to analyze the digital competence of Higher Education students, as a function of their academic performance (have either repeated or a not previously), as well as to predict its significant predictors. For this, an ex-post factor and a sample of 17301 students from Chile (Latin America) were utilized. A…
Descriptors: Digital Literacy, Academic Achievement, Higher Education, Predictor Variables
Sakiz, Halis; Özdas, Faysal; Göksu, Idris; Ekinci, Abdurrahman – SAGE Open, 2021
Achievement in higher education is gaining importance and attracting attention among educational psychologists who seek for determining its correlates. This study examined longitudinal associations between academic achievement in higher education, university entrance exam performance, the psychosocial climate of the campus, and instructional…
Descriptors: Longitudinal Studies, Academic Achievement, Correlation, Higher Education
Michael Yakubov – ProQuest LLC, 2021
The impact of the pandemic has once again pushed higher education institutions to the limit, forcing many private not-for-profit institutions to rethink their budgeting plans. As students consider alternative options to college, become more selective in their academic study, and seek greater resources, institutions will have to make difficult…
Descriptors: Higher Education, Universities, Colleges, School Closing
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Kristen C. Betts – ProQuest LLC, 2021
This study explores a variety of variables with the intent of identifying specific student groups that may struggle with performance in a large general education course. The ultimate objective of this study is to facilitate the success of acknowledged at-risk students. Drawing in part on the theory of social capital, this study examines…
Descriptors: Predictor Variables, Academic Achievement, Large Group Instruction, General Education
Thompson, Elizabeth Burchette – ProQuest LLC, 2019
This retrospective quantitative research project used for this dissertation was used to determine if academic performance in veterinary technology courses held any greater predictive value on first attempt Veterinary Technician National Examination (VTNE) outcome than a preparatory mock VTNE test. Beginning in 2010, the veterinary technology…
Descriptors: Allied Health Personnel, Veterinary Medicine, Veterinary Medical Education, Academic Achievement
Roohr, Katrina; Olivera-Aguilar, Margarita; Ling, Guangming; Rikoon, Samuel – Assessment & Evaluation in Higher Education, 2019
Twenty-first century and higher-learning skills such as critical thinking are highly desired for new college graduates entering the workplace, especially with rapid changing technology and a more globalized economy. As a result, the importance of critical thinking development at higher education institutions has increased. The purpose of this…
Descriptors: Hierarchical Linear Modeling, College Students, Critical Thinking, Higher Education
Marini, Jessica; Shaw, Emily; Young, Linda; Ewing, Maureen – College Board, 2018
This study investigated differences in college grading practices (first-year grade point average and course grades) by student and institutional characteristics and by academic discipline to inform and improve our understanding and use as among the most commonly employed criteria in validity and college readiness research. In addition, trends in…
Descriptors: Higher Education, Grading, College Students, Student Characteristics
Davison, Christopher B.; Dustova, Gandzhina – Journal of Instructional Pedagogies, 2017
This research study describes the correlations between student performance and examination format in a higher education teaching and research institution. The researchers employed a quantitative, correlational methodology utilizing linear regression analysis. The data was obtained from undergraduate student test scores over a three-year time span.…
Descriptors: Statistical Analysis, Performance Based Assessment, Correlation, Higher Education
Beardmore, Kevin Wayne – Online Submission, 2019
The problem of a prepared workforce is perennial. Part of the challenge is one of supply and demand, as education systems attempt to produce graduates with the technical competencies required for the current jobs available. In the new service- and knowledge-based economy, however, soft skills are cited as a greater need by today's employers.…
Descriptors: 21st Century Skills, Higher Education, Achievement Gap, Knowledge Economy