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al-Swaidani, Aref M.; al-Hajeh, Tamer – Open Education Studies, 2023
The aim of the current study is to estimate the graduation grade point average (GPA) at the Arab International University (AIU). The importance of this study is that it is the first of its kind in Syria, particularly under the conditions of the bitter war, which has not yet come to its end. The sample of the study consists of data collected from…
Descriptors: Grade Point Average, War, Gender Differences, Undergraduate Study
Changpetch, Pannapa; Reid, Moya – Journal of Education for Business, 2021
Based on a statistical analysis, undergraduate business students are shown to prefer classification tree over six other standard data mining techniques. Data were collected over a 4-year period from students taking a data mining course offered at a business university in the US. The principal reason given by students for this preference is that…
Descriptors: Data Analysis, Models, Statistical Analysis, Undergraduate Students
Maynard, John P., II; Slate, John R. – International Journal of Modern Education Studies, 2021
In this multiyear, statewide investigation, the extent to which enrollment rates of male and female, part-time, first-time-in-college students enrolled in Texas community colleges differed from the 2003-2004 academic year to the 2018-2019 academic year was determined. From the 2003-2004 academic year to the 2011-2012 academic year, statistically…
Descriptors: Gender Differences, Two Year College Students, Part Time Students, College Freshmen
Cris E. Haltom; Tate F. Halverson – Journal of American College Health, 2024
Objective: This study examined relationships between eating disorder risk (EDR), lifestyle variables (e.g., exposure to healthy eating media), and differences among male and female college students. Participants: College students (N = 323) completed survey questionnaires (Fall, 2016). Fifty-three participants retook the survey at a later time.…
Descriptors: Eating Disorders, Life Style, At Risk Students, Gender Differences
Alalouch, Chaham – Education Sciences, 2021
Cognitive styles affect the learning process positively if tasks are matched to the cognitive style of learners. This effect becomes more pronounced in complex education, such as in engineering. We attempted to critically assess the effect of cognitive styles and gender on students' academic performance in eight engineering majors to understand…
Descriptors: Cognitive Style, Gender Differences, Academic Achievement, Engineering Education
Yang, Jie; Wells, James; Henderson, Rachel; Christman, Elaine; Stewart, Gay; Stewart, John – Physical Review Physics Education Research, 2020
Brewe, Bruun, and Bearden first applied network analysis to understand patterns of incorrect conceptual physics reasoning in multiple-choice instruments introducing the module analysis for multiple-choice responses (MAMCR) algorithm. Wells et al. proposed an extension to the algorithm which allowed the analysis of large datasets called modified…
Descriptors: Physics, Scientific Concepts, Multiple Choice Tests, Statistical Analysis
Mehrazmay, Roghayeh; Ghonsooly, Behzad; de la Torre, Jimmy – Applied Measurement in Education, 2021
The present study aims to examine gender differential item functioning (DIF) in the reading comprehension section of a high stakes test using cognitive diagnosis models. Based on the multiple-group generalized deterministic, noisy "and" gate (MG G-DINA) model, the Wald test and likelihood ratio test are used to detect DIF. The flagged…
Descriptors: Test Bias, College Entrance Examinations, Gender Differences, Reading Tests
Mazouchová, Aneta; Jedlicková, Tereza; Hlavácová, Lucie – Journal on Efficiency and Responsibility in Education and Science, 2021
This paper aims to reveal the beliefs of students and fresh university graduates about teaching statistics during their university studies with focus on using statistical software. The objective is to detect the approach of faculties to statistics education and to find out which didactic materials and teaching methods are mainly used. Students'…
Descriptors: Foreign Countries, Statistics, College Students, College Graduates
Zubaida Shraim; Assile AlAmili; Shaikha Al Shehhi; Zeina Hojeij – Cogent Education, 2024
The United Arab Emirates (UAE) aims to improve its education sector by recruiting qualified and diverse student teachers. Therefore, the aim of this study was to examine the factors affecting student motivation to enroll in colleges of education. Using simple random sampling, a total of 199 consenting students were recruited to participate in this…
Descriptors: Foreign Countries, Education Majors, Schools of Education, Student Motivation
Ralston, Kevin; Gorton, Victoria; MacInnes, John; Gayle, Vernon; Crow, Graham – International Journal of Social Research Methodology, 2021
One of the most commonly identified obstacles in the learning-teaching of quantitative material is statistics anxiety. Of the factors analysed in relation to statistics anxiety, age and gender have received a substantial proportion of the research focus. Yet there is limited work that systematically examines the possibility of an…
Descriptors: Statistics, Anxiety, Negative Attitudes, Mathematics Skills
Kemda, Lionel Establet; Murray, Michael – International Journal of Higher Education, 2021
Within students' attrition studies, it is necessary to assess the longitudinal evolution of students within a given course of study, from enrolment to exit from the university through degree completion and academic dropout. Here, the student's academic progress is monitored through the number of courses failed each semester enrolled. The students'…
Descriptors: Academic Failure, Student Behavior, College Students, Student Attrition
Park, Eunkyoung; Dooris, John – Assessment & Evaluation in Higher Education, 2020
This study uses decision tree analysis to determine the most important variables that predict high overall teaching and course scores on a student evaluation of teaching (SET) instrument at a large public research university in the United States. Decision tree analysis is a more robust and intuitive approach for analysing and interpreting SET…
Descriptors: Predictor Variables, Student Evaluation of Teacher Performance, Decision Making, Statistical Analysis
Echeverría Castro, Sonia Beatriz; Sotelo Castillo, Mirsha Alicia; Acosta Quiroz, Christian Oswaldo; Barrera Hernández, Laura Fernanda – SAGE Open, 2020
The aim of the study was to adjust the measurement model of an instrument of sources of Self-efficacy for Mathematics to sample of university students from Northeast of Mexico and the sex measurement invariance. A second-order modeling was performed, which shows convergent and discriminant validity, which corresponds to the original Bandura theory…
Descriptors: Self Efficacy, College Mathematics, College Students, Measurement Techniques
Kaya, Çinar; Ugur, Erol; Sar, Ali Haydar; Ercengiz, Mustafa – Online Submission, 2017
The main objective of the current study is to examine the relationships between self-handicapping, and irrational beliefs about approval, irrational beliefs about interpersonal relationships, irrational beliefs about self and the overall level of irrational beliefs by reference to the " ABC " framework. Participants of the study were 263…
Descriptors: Beliefs, Preservice Teachers, Interpersonal Relationship, Self Esteem
Kim, Hyung Won; Kim, Woo Jin; Wilson, Aaron T.; Ko, Ho Kyoung – International Journal on Social and Education Sciences, 2019
The use of confidence intervals (CIs) for making a statistical inference is gaining popularity in research communities. To evaluate college statistics instructors' readiness to teach CIs, this study explores their attitudes toward teaching CIs in elementary statistics courses, and toward using CIs in inferential statistics. Data were collected…
Descriptors: Computation, Statistical Analysis, Teacher Attitudes, College Faculty