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Rollinson, Joseph; Brunskill, Emma – International Educational Data Mining Society, 2015
At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…
Descriptors: Prediction, Models, Educational Policy, Intelligent Tutoring Systems
Baydogan, Mustafa Gokce – ProQuest LLC, 2012
Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance, learning science and multimedia naturally generate TS data. Each series provide a high-dimensional data vector that challenges the learning…
Descriptors: Mathematical Models, Multivariate Analysis, Statistical Data, Computation
Richards, Winston A. – MATYC Journal, 1978
The students in a basic course on probability and statistics in Trinidad demonstrated that the number of fatal highway accidents appeared to follow a Poisson distribution while the length of time between deaths followed exponential distribution. (MN)
Descriptors: College Mathematics, Data Analysis, Higher Education, Mathematical Models

Duncan, Otis Dudley – American Journal of Sociology, 1979
Presents two models for statistically analyzing occupational mobility. The models show how the destination distribution is shifted for each shift of one or more steps on the scale of occupational origins. (Author/AV)
Descriptors: Data Analysis, Mathematical Models, Models, Occupational Mobility

McCullagh, Peter – 1978
A general class of regression models for ordered categorised data is developed and discussed. Thier properties are contrasted with log linear models and other methods of analysis. The general problem of fitting by maximum likelihood is discussed and solved. The models are shown to be multivariate extensions of generalised linear models and the…
Descriptors: Data Analysis, Goodness of Fit, Mathematical Models, Multiple Regression Analysis
Murray, James R.; Wiley, David E. – 1970
A basic methodological approach in developmental studies is the collection of longitudinal data. Behavioral data cen take at least two forms, qualitative (or discrete) and quantitative. Both types are fallible. Measurement errors can occur in quantitative data and measures of these are based on error variance. Qualitative or discrete data can…
Descriptors: Behavioral Sciences, Data Analysis, Evaluation Methods, Feedback
Graham, Alan T.; Thomas, Michael O. J. – International Journal for Technology in Mathematics Education, 2005
Statistical data can be represented in a number of qualitatively different ways, the choice depending on the following three conditions: the concepts to be investigated; the nature of the data; and the purpose for which they were collected. This paper begins by setting out frameworks that describe the nature of statistical thinking in schools, and…
Descriptors: Investigations, Statistical Data, Statistics, Mathematics Education
Subkoviak, Michael J. – 1977
Four different procedures were used for estimating the proportion of persons who would be classified consistently as either passing both of two parallel tests or failing both. These four methods were applied at each of four different mastery level scores for each of three different length tests. Data were based on 50 replications of each procedure…
Descriptors: Criterion Referenced Tests, Cutting Scores, Data Analysis, Data Collection
GOODMAN, ARNOLD F.; AND OTHERS – 1966
A STUDY WAS MADE OF THE NATION'S DEFENSE INDUSTRY TO DETERMINE ITS INFORMATION NEEDS AND THE FLOW OF SCIENTIFIC AND TECHNICAL INFORMATION (FLOW PROCESS) NECESSARY TO SATISFY THESE NEEDS. VOLUME I, LI 000 345, OF THE THREE VOLUME FINAL REPORT IS AN OVERVIEW OF THE OTHER TWO VOLUMES AND INCLUDES GUIDELINES FOR MANAGEMENT DECISIONS AND…
Descriptors: Communication (Thought Transfer), Comparative Analysis, Correlation, Data Analysis
Nolfi, George J.; And Others – 1978
The growing complexity of policy decisions in such areas as education and manpower necessitates increased research, which in turn requires an adequate data base and adequate methodology. Recognition that the variables affecting the vocational and educational choices of high school graduates are interrelated and require examination from several…
Descriptors: Access to Education, Career Choice, College Choice, Data Analysis