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Showing 1 to 15 of 52 results Save | Export
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Adetona, Abel Adekanmi – International Journal of Evaluation and Research in Education, 2017
The study aimed at assessing how students and teachers factor taken together influence students' achievement in Statistics as well as their relative contribution to the prediction. Two research questions were raised and purposive sampling was adopted to select national diploma year 2 students since they are already in their final level in the…
Descriptors: Teacher Student Relationship, Statistics, Academic Achievement, Foreign Countries
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Payne, Phillip; Burrack, Frederick – Research and Issues in Music Education, 2017
This exploratory case study, focused on a music teacher preparation program, examined the coursework ePortfolios of pre-service music teachers to determine if any parts of the ePortfolio process predicted teaching effectiveness in the classroom during the student teaching semester. Sixty-five undergraduate pre-service music teachers made up the…
Descriptors: Electronic Publishing, Portfolios (Background Materials), Academic Achievement, Predictive Measurement
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Alkharusi, Hussain – Electronic Journal of Research in Educational Psychology, 2016
Introduction: Students are daily exposed to a variety of assessment tasks in the classroom. It has long been recognized that students' perceptions of the assessment tasks may influence student academic achievement. The present study aimed at predicting academic achievement in mathematics from perceptions of the assessment tasks after controlling…
Descriptors: Academic Achievement, Predictive Measurement, Predictor Variables, Learning Strategies
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Peters, S. Colby; Woolley, Michael E. – Children & Schools, 2015
Data from the School Success Profile generated by 19,228 middle and high school students were organized into three broad categories of risk and protective factors--control, support, and challenge--to examine the relative and combined power of aggregate scale scores in each category so as to predict academic success. It was hypothesized that higher…
Descriptors: Academic Achievement, Success, Risk, Risk Assessment
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Huang, Shaobo; Fang, Ning – Computers & Education, 2013
Predicting student academic performance has long been an important research topic in many academic disciplines. The present study is the first study that develops and compares four types of mathematical models to predict student academic performance in engineering dynamics--a high-enrollment, high-impact, and core course that many engineering…
Descriptors: Academic Achievement, Grade Point Average, Accuracy, Prediction
Burstein, Mark – ProQuest LLC, 2013
California and many other states require students to pass an exit examination as a high school graduation requirement. Coupled with the exit examination requirement is school accountability to the state and the federal government. Despite academic interventions, many students continue to fail the exit examination resulting in not earning a…
Descriptors: Exit Examinations, High School Students, Grade 9, Grade 10
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Cheema, Jehanzeb R.; Zhang, Bo – International Journal of Education and Development using Information and Communication Technology, 2013
This study looked at the effect of both quantity and quality of computer use on achievement. The Program for International Student Assessment (PISA) 2003 student survey comprising of 4,356 students (boys, n = 2,129; girls, n = 2,227) was used to predict academic achievement from quantity and quality of computer use while controlling for…
Descriptors: Academic Achievement, Computer Use, Educational Quality, Incidence
Parrott-Robbins, Rebecca Jon – ProQuest LLC, 2010
The purpose of this study was to investigate--by utilizing data obtained from the Kentucky Community and Technical College System (KCTCS) PeopleSoft database-- whether the American College Testing (ACT) assessment was a predictor of student success for students who had graduated from respiratory, radiography, and nursing programs at Southeast…
Descriptors: Nursing Education, Technical Institutes, Grade Point Average, Multiple Regression Analysis
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Richardson, John T. E. – Studies in Higher Education, 2009
This study investigated the role of disablement as a predictor of academic attainment among students awarded first degrees by UK institutions of higher education in 2004-05. Disability explained only 0.1% of the variation in attainment, as measured by whether the graduates had obtained good degrees (i.e. with first-class or upper second-class…
Descriptors: Higher Education, Disabilities, Academic Achievement, Educational Attainment
Mettler, James R. – ProQuest LLC, 2010
According to many higher education experts, merit scholarship screening methods discriminate against a disproportionate number of underrepresented minority (URM) students. The screening methods, however, favored individuals with the highest achievement test scores and above-average GPAs. The assumption in the common selection model is that test…
Descriptors: Academic Achievement, Competition, Achievement Tests, Merit Scholarships
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Ayers, Jerry B.; And Others – Educational and Psychological Measurement, 1973
Descriptors: Academic Achievement, College Language Programs, Language Tests, Multiple Regression Analysis
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Nickens, John Marcus – Journal of Educational Research, 1972
In the case of success-failure predictions, approximately 75 percent of those predicted to succeed did and 51 percent of those predicted to fail failed. (Editor)
Descriptors: Academic Achievement, Multiple Regression Analysis, Predictive Measurement, Predictor Variables
Dielman, T. E.; And Others – Personality: An International Journal, 1971
It was concluded from the study that for prediction purposes the total School Motivation Analysis Test Integrated should be used. (Author)
Descriptors: Academic Achievement, Achievement Tests, Junior High School Students, Motivation
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Mandryk, Thomas R.; Schuerger, James M. – Educational and Psychological Measurement, 1974
Descriptors: Academic Achievement, Grades (Scholastic), High School Students, Multiple Regression Analysis
Levine, Daniel U.; Stephenson, Robert S. – 1988
Actual data sets were used to illustrate how substantially different conclusions and implications can be drawn from alternate multiple regressions predicting academic achievement from the same set of variables measuring student background. Variables assessing students' socioeconomic status and geographic mobility, used to predict reading and math…
Descriptors: Academic Achievement, Educational Policy, Elementary Secondary Education, Multiple Regression Analysis
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