Publication Date
| In 2026 | 0 |
| Since 2025 | 41 |
| Since 2022 (last 5 years) | 307 |
| Since 2017 (last 10 years) | 923 |
| Since 2007 (last 20 years) | 2950 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Teachers | 464 |
| Practitioners | 217 |
| Students | 66 |
| Researchers | 46 |
| Administrators | 3 |
| Counselors | 1 |
Location
| Australia | 53 |
| Turkey | 38 |
| Indonesia | 32 |
| United States | 28 |
| South Africa | 26 |
| California | 24 |
| United Kingdom | 23 |
| Netherlands | 17 |
| Spain | 17 |
| China | 16 |
| Sweden | 15 |
| More ▼ | |
Laws, Policies, & Programs
| Comprehensive Employment and… | 1 |
| Elementary and Secondary… | 1 |
| Head Start | 1 |
| No Child Left Behind Act 2001 | 1 |
| Pell Grant Program | 1 |
| Voting Rights Act 1965 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 11 |
| Meets WWC Standards with or without Reservations | 13 |
| Does not meet standards | 1 |
Kirisci, Levent; Hsu, Tse-Chi – 1992
A predictive adaptive testing (PAT) strategy was developed based on statistical predictive analysis, and its feasibility was studied by comparing PAT performance to those of the Flexilevel, Bayesian modal, and expected a posteriori (EAP) strategies in a simulated environment. The proposed adaptive test is based on the idea of using item difficulty…
Descriptors: Adaptive Testing, Bayesian Statistics, Comparative Analysis, Computer Assisted Testing
Xiao, Beiling – 1990
Dichotomous search strategies (DSSs) for computerized adaptive testing are similar to golden section search strategies (GSSSs). Each middle point of successive search regions is a testing point. After each item is administered, the subject's obtained score is compared with the expected score at successive testing points. If the subject's obtained…
Descriptors: Ability Identification, Adaptive Testing, Computer Assisted Testing, Equations (Mathematics)
Handelsman, Kenneth G. – 1989
This practicum describes a computer assisted instructional (CAI) program written in the computer language BASIC. This computer program was designed to help 11th and 12th grade algebra students (n=15) better understand the concept of linear equations. The program has three sections: the first is a tutorial, the second section gives the student the…
Descriptors: Algebra, Computation, Computer Assisted Instruction, Computer Uses in Education
Correcting Regression Equations for Restriction of Range: Effects on Veterinary Candidate Selection.
Stuck, Ivan A. – 1990
Predictor weights estimated by using multiple linear regression are biased when there is restriction in the range (RR) of the dependent variable. Standardized multiple regression yields partial correlations as weights for the predictors, and these can be corrected for range difference between calibration and application samples. However,…
Descriptors: Admission Criteria, Cohort Analysis, College Applicants, College Entrance Examinations
Eads, Freeman D.; Hinton, Barbara E. – 1984
This instructor's guide consists of materials for use in teaching a course in algebra designed for students enrolled in postsecondary vocational and technical education programs. Addressed in the eight individual units of the guide are the following topics: signed numbers, algebraic notation, equations and inequalities, solving algebraic…
Descriptors: Algebra, Behavioral Objectives, Classroom Techniques, Equations (Mathematics)
Peer reviewedGamble, R. – Physics Education, 1986
Considers several aspects of quantitative relationships involved in learning physics. Includes discussions of proportionality, various kinds of equality, and the need for generality. Argues that clear distinctions are necessary if the physics curriculum is to be examined with regard to pupil outcomes. (TW)
Descriptors: Definitions, Equations (Mathematics), Foreign Countries, Mathematical Applications
Peer reviewedMathews, John H. – Mathematics and Computer Education, 1989
This article illustrates that mathematical theory can be incorporated into the process to solve differential equations by a computer algebra system, muMATH. After an introduction to functions of muMATH, several short programs for enhancing the capabilities of the system are discussed. Listed are six references. (YP)
Descriptors: Calculus, College Mathematics, Computation, Computer Assisted Instruction
Peer reviewedPhilipp, Randolph A. – Mathematics Teacher, 1992
Presents an account of the historical evolution of the definition of variable and the way the concept is currently treated in textbooks. Shares activities to promote student discussion on the use of variables as constants, as quantities that vary, and as parameters. Provides a reproducible worksheet. (MDH)
Descriptors: Algebra, Definitions, Discussion (Teaching Technique), Equations (Mathematics)
Peer reviewedWeiler, William C. – Educational Evaluation and Policy Analysis, 1991
The effect of indebtedness (undergraduate loan burden) after college graduation on the decision to pursue a graduate degree was studied for 899 individuals from the High School and Beyond study. Level of undergraduate debt was not a significant choice determinant. Some limitations of the methodology are discussed. (SLD)
Descriptors: Academic Persistence, College Graduates, Data Analysis, Decision Making
Peer reviewedRaudenbush, Stephen W.; And Others – Journal of Educational Statistics, 1991
A three-level multivariate statistical modeling strategy is presented that resolves the question of whether the unit of analysis should be the teacher or the student. A reanalysis of U.S. high school data (51 Catholic and 59 public schools from the High School and Beyond survey) illustrates the model. (SLD)
Descriptors: Algorithms, Catholic Schools, Educational Environment, Equations (Mathematics)
Peer reviewedYen, Wendy M. – Journal of Educational Measurement, 1993
Results from the Maryland School Performance Assessment Program for 5,392 elementary school students and from the Comprehensive Tests of Basic Skills (multiple choice) for a national sample are used to explore local item independence (LID) of test items. Some strategies are suggested for measuring LID in performance assessments. (SLD)
Descriptors: Educational Assessment, Elementary Education, Elementary School Students, Equations (Mathematics)
Burton, Bob – 1993
Education researchers have long been concerned with finding the appropriate method for correlational analysis of hierarchical data. In recent years, the alternative of hierarchical linear modeling (HLM) has come into extensive use. HLM users typically center some or all student-level predictors either at the grand mean or at the school means. This…
Descriptors: Correlation, Educational Research, Elementary Secondary Education, Equations (Mathematics)
Miller, Timothy R. – 1991
Two studies were carried out to evaluate the quality of multidimensional item response theory (MIRT) model parameter estimates obtained from the computer program NOHARM. The purpose of the first study was to compute empirical estimates of the standard errors of the parameters. In addition, the parameter estimates were evaluated for bias and the…
Descriptors: College Entrance Examinations, Comparative Analysis, Computer Simulation, Equations (Mathematics)
Crawford, Paul L.; And Others – 1986
"Postdictions" of college grade point averages (GPAs) from high school GPAs and/or American College Testing Program (ACT) composite scores were compared by gender and race for 1,121 freshmen and sophomore students at a West Virginia College. The sample included 945 white and 176 black students, and 553 males and 568 females. Significant…
Descriptors: College Entrance Examinations, College Freshmen, College Sophomores, Comparative Analysis
Van Nelson, C.; Neff, Kathryn J. – 1990
Data from two studies in which subjects were classified as successful or unsuccessful were analyzed using neural net technology after being analyzed with a linear regression function. Data were obtained from admission records of 201 students admitted to undergraduate and 285 students admitted to graduate programs. Data included grade point…
Descriptors: Admission Criteria, Artificial Intelligence, Class Rank, College Entrance Examinations


