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English, Lyn D. – 2002
This paper addresses the developments of a class of fifth-grade children as they worked modeling problems during the first year of a 3-year longitudinal study. In contrast to usual classroom problems where students find a brief answer to a particular question, modeling activities involve students in authentic case studies that require them to…
Descriptors: Concept Formation, Elementary Education, Grade 5, Group Activities
Costello, Ronald W.; Shuey, Barbara – Online Submission, 2005
The Archdiocese of Indianapolis has been using the Sander's value-added model to determine if they have had gains in student achievement in language arts, mathematics and reading. The article summarizes the method to make this determination and the results from three years of testing using the CTB McGraw-Hill Terre Nova test. The archdiocese has…
Descriptors: Language Arts, Reading Achievement, Mathematics Achievement, Standardized Tests
Labelle, Gilbert – 2000
This set of transparencies shows how the manipulation of combinatorial structures in the context of modern combinatorics can easily lead to interesting teaching and learning activities at every level of education from elementary school to university. The transparencies describe: (1) the importance and relations of combinatorics to science and…
Descriptors: Curriculum Development, Higher Education, Interdisciplinary Approach, Mathematical Applications
Wright, Benjamin D. – 1998
In three lectures, Benjamin D. Wright of the University of Chicago introduces the Rasch model and its basic concepts. The first lecture, March 30, 1994 discusses the model created by Georg Rasch, a Danish mathematician, which Dr. Wright initially saw as merely a way to make raw scores into measures. Eventually, the model developed into a…
Descriptors: Educational Testing, Estimation (Mathematics), Item Response Theory, Mathematical Models
Ahmed, Susan – 1997
This working paper contains the overheads used in a seminar designed to introduce some basic concepts of statistics to nonstatisticians. The seminar has been presented on several occasions. The first part of the seminar, and the first set of overheads, deals with the essentials of statistics, including: (1) population, sample, and inference; (2)…
Descriptors: Correlation, Educational Policy, Educational Research, Mathematical Models
Jiang, Ying Hong; Smith, Philip L. – 2000
With a construct-centered reliability analytical approach the reliability analysis should crystallize the multi-traits or constructs that the test specialists developed to measure from student performance and then estimate the degree of fit between the theoretical expectations of test developers and the performance exhibited by students. This…
Descriptors: Cognitive Tests, Construct Validity, Elementary Education, Elementary School Students
National Academy of Sciences - National Research Council, Washington, DC. Mathematical Sciences Education Board. – 1998
Methods of effectively teaching algebraic thinking in elementary schools as well as secondary schools is the topic of the following 19 papers. Papers include: (1) "Transforming Algebra from an Engine of Inequity to an Engine of Mathematical Power by 'Algebrafying' the K-12 Curriculum" (J. Kaput); (2) "Developing a Coherent and…
Descriptors: Algebra, Educational Technology, Elementary Secondary Education, Functions (Mathematics)
Piesse, Andrea; Rust, Keith – National Center for Education Statistics, 2003
The Progress in International Reading Literacy Study (PIRLS) is a large international comparative study of the reading literacy of young students. The student population for the U.S. 2001 PIRLS (hereafter simply referred to as PIRLS) was the set of all fourth-graders in the United States, corresponding to the grade in which the highest proportion…
Descriptors: Elementary School Students, Comparative Analysis, Predictor Variables, Regression (Statistics)
Peer reviewedElkins, J. – Australian Mathematics Teacher, 1973
Descriptors: Engineering Technology, Information Theory, Instruction, Mathematical Applications
Peer reviewedCastellan, N. John, Jr. – Psychometrika, 1973
This paper discusses the Lens Model' approach to the analysis of subject performance in multiple-cue judgment tasks embedded in probabilistic environments. (Author/RK)
Descriptors: Analysis of Covariance, Bayesian Statistics, Data Analysis, Mathematical Models
Peer reviewedBrink, Nicholas E. – Educational and Psychological Measurement, 1972
Study compares the Rasch and the Guttman models of measurement and thus adds to the description of the characteristics of Rasch's logistic model. Such knowledge is of importance in making decisions as to which model and which statistics should be used in evaluations of tests. (Author/CB)
Descriptors: Comparative Analysis, Educational Testing, Error of Measurement, Goodness of Fit
Peer reviewedImmerzeel, George; Wiederanders, Don – Arithmetic Teacher, 1972
A series of experiences with patterns in number pairs, each using a physical model. (MM)
Descriptors: Algebra, Arithmetic, Elementary School Mathematics, Instruction
Peer reviewedBuckland, K.; Hindle, A. – Journal of Education for Librarianship, 1971
In professional training of librarians, mathematical modeling can be useful in relatively sophisticated library management games if the models simulate the provision and use of library services. (33 references) (MM)
Descriptors: Decision Making, Feasibility Studies, Game Theory, Library Education
Peer reviewedAshlock, Robert B. – Arithmetic Teacher, 1971
The author describes various classroom activities for teaching basic number skills under the headings (1) Understanding facts, (2) Relating facts, and (3) Mastering facts. The activities are designed to involve children in the making of models of the operations of arithmetic and the interpretation of these models with number sentences. (MM)
Descriptors: Addition, Arithmetic, Basic Skills, Elementary School Mathematics
Peer reviewedSweet, Phyllis R.; Nuttall, Ronald L. – American Educational Research Journal, 1971
Describes the development of an instrument to measure student attitudes towards a tracking system. (CK)
Descriptors: Ability Grouping, Academic Achievement, High School Students, Homogeneous Grouping


