NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 11 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Langston, Randall; Wyant, Robert; Scheid, Jamie – Strategic Enrollment Management Quarterly, 2016
Both an art and a science, enrollment projections have become a major component to effective college and university fiscal planning. With stagnant or declining state budget support for public higher education along with an increasing emphasis on revenue generation, never before has predicting the size of an entering class become more imperative.…
Descriptors: Enrollment Management, Strategic Planning, Statistical Data, Predictor Variables
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
Xiang, Rui – ProQuest LLC, 2013
A key issue of cognitive diagnostic models (CDMs) is the correct identification of Q-matrix which indicates the relationship between attributes and test items. Previous CDMs typically assumed a known Q-matrix provided by domain experts such as those who developed the questions. However, misspecifications of Q-matrix had been discovered in the past…
Descriptors: Diagnostic Tests, Cognitive Processes, Matrices, Test Items
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
National Centre for Vocational Education Research (NCVER), 2011
This publication presents estimates of apprentice and trainee activity in Australia for the September quarter 2010. The figures in this publication are derived from the National Apprentice and Trainee Collection no.66 (December 2010 estimates). The most recent figures in this publication are estimated (those for training activity from the March…
Descriptors: Mathematical Models, Foreign Countries, Vocational Education, Trainees
National Centre for Vocational Education Research (NCVER), 2012
This publication presents estimates of apprentice and trainee activity in Australia for the December quarter 2011. The figures in this publication are derived from the National Apprentice and Trainee Collection no.71 (March 2012 estimates). The most recent figures in this publication are estimated (those for training activity from the June quarter…
Descriptors: Mathematical Models, Foreign Countries, Vocational Education, Trainees
National Centre for Vocational Education Research (NCVER), 2012
This publication presents estimates of apprentice and trainee activity in Australia for the June quarter 2012. The figures in this publication are derived from the National Apprentice and Trainee Collection no.73 (September 2012 estimates). The most recent figures in this publication are estimated (those for training activity from the December…
Descriptors: Vocational Education, Trainees, Foreign Countries, Mathematical Models
National Centre for Vocational Education Research (NCVER), 2013
This publication presents estimates of apprentice and trainee activity in Australia for the September quarter 2012. The figures in this publication are derived from the National Apprentice and Trainee Collection no.74 (December 2012 estimates). The most recent figures in this publication are estimated (those for training activity from the March…
Descriptors: Trainees, Foreign Countries, Mathematical Models, Expenditures
Peer reviewed Peer reviewed
Direct linkDirect link
Mills, Jonathan N. – Journal of Education Finance, 2013
This article examines the impacts of Arkansas charter schools on the academic achievement of participating students. Our findings are that charter schools have small but statistically significant, negative impacts on student achievements for both math and literacy. Such negative effects, however, tend to decline with the number of years of charter…
Descriptors: Open Enrollment, Charter Schools, Academic Achievement, Statistical Significance
Actuarial Foundation, 2012
The purpose of these modules is to provide an introduction to the world of probability and statistics to accelerated mathematics students at the high school level. The materials are centered on the fictional town of Happy Shores, a coastal community which is at risk for hurricanes. Actuaries at an insurance company figure out the risks and…
Descriptors: Mathematical Concepts, Probability, Statistics, Learning Modules
Peer reviewed Peer reviewed
Direct linkDirect link
Briggs, Ann R. J. – Management in Education, 2008
Modelling of statistical data is a well established analytical strategy. Statistical data can be modelled to represent, and thereby predict, the forces acting upon a structure or system. For the rapidly changing systems in the world of education, modelling enables the researcher to understand, to predict and to enable decisions to be based upon…
Descriptors: Mathematical Models, Statistical Data, Foreign Countries, Cooperation