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Ostovar-Namaghi, Seyyed Ali; Iranmehr, Abutaleb; Moghaddam, Mostafa Morady – International Journal of Language Testing, 2021
Some universities in Iran have recently witnessed a shift in admission criteria from university admission test performance towards high school records. This sudden change seems to be unwarranted since the predictive power of high school records has not been explored. To fill in this gap, this study aims at showcasing the predictive validity of…
Descriptors: High School Students, Student Records, Predictive Validity, College Entrance Examinations
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Kontas, Hakki; Ă–zpolat, Esen Turan – International Journal of Evaluation and Research in Education, 2017
The purpose of this study was to investigate exam scores' predicting Transition from Primary to Secondary Education (TEOG) exam scores. The research data were obtained from the records of 1035 students studying at the first term of eighth grade in 2015-2016 academic year in e-school system. The research was on relational screening model. Linear…
Descriptors: Scores, Prediction, Predictive Validity, School Readiness
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
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Stadler, Matthias J.; Becker, Nicolas; Greiff, Samuel; Spinath, Frank M. – Higher Education Research and Development, 2016
Successful completion of a university degree is a complex matter. Based on considerations regarding the demands of acquiring a university degree, the aim of this paper was to investigate the utility of complex problem-solving (CPS) skills in the prediction of objective and subjective university success (SUS). The key finding of this study was that…
Descriptors: Success, Predictive Validity, Predictor Variables, Problem Solving
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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
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Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
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MacKenzie, R. K.; Dowell, J.; Ayansina, D.; Cleland, J. A. – Advances in Health Sciences Education, 2017
Traditional methods of assessing personality traits in medical school selection have been heavily criticised. To address this at the point of selection, "non-cognitive" tests were included in the UK Clinical Aptitude Test, the most widely-used aptitude test in UK medical education (UKCAT: http://www.ukcat.ac.uk/). We examined the…
Descriptors: Foreign Countries, Personality Traits, Medical Schools, Longitudinal Studies
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Islam, M. Mazharul; Al-Ghassani, Asma – International Journal of Higher Education, 2015
The objective of this study was to evaluate the performance of students of college of Science of Sultan Qaboos University (SQU) in Calculus I course, and examine the predictive validity of student's high school performance and gender for Calculus I success. The data for the study was extracted from students' database maintained by the Deanship of…
Descriptors: Foreign Countries, Calculus, College Mathematics, Mathematics Achievement
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Adamu, L. E. – Journal of Education and Practice, 2015
The purpose of the study was to determine the relationship between scores in mathematics knowledge and teaching practice of Diploma mathematics students. A sample of 39 students was used. Two research questions and two hypotheses were asked and formulated respectively. An ex-post facto correlation design was used. The data were analyzed using…
Descriptors: Quality Assurance, Mathematics Achievement, Mathematical Aptitude, Scores
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Brogt, Erik; Sampson, Kaylene A.; Comer, Keith; Turnbull, Matthew H; McIntosh, Angus R. – Journal of Institutional Research, 2011
This article examines the use of institutional research data on tertiary academic success of students in the first-year Biology program at the University of Canterbury in relation to their secondary school performance in English, Mathematics with Statistics, Biology and Chemistry. This study was commissioned by the School of Biological Sciences to…
Descriptors: Institutional Research, Research Utilization, Data, Postsecondary Education
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Comer, Keith; Broght, Erik; Sampson, Kaylene – Journal of Institutional Research, 2011
Building on Shulruf, Hattie and Tumen (2008), this work examines the capacity of various National Certificate in Educational Achievement (NCEA)-derived models to predict first-year performance in Biological Sciences at a New Zealand university. We compared three models: (1) the "best-80" indicator as used by several New Zealand…
Descriptors: Science Achievement, Biology, Secondary School Science, National Competency Tests
Blackman, Ian; Darmawan, I Gusti Ngurah – International Education Journal, 2004
A hypothetical model was formulated to explore factors that influenced academic and clinical achievement for graduate-entry medical students completing their third year of university studies. Nine latent variables were considered including the students' background, previous successes with their undergraduate and postgraduate studies and their…
Descriptors: Medical Students, Academic Achievement, Path Analysis, Least Squares Statistics