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No Child Left Behind Act 20011
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Williamson, David M.; Johnson, Matthew S.; Sinharay, Sandip; Bejar, Isaac I. – 2002
This paper explores the application of a technique for hierarchical item response theory (IRT) calibration of complex constructed response tasks that has promise both as a calibration tool and as a means of evaluating the isomorphic equivalence of complex constructed response tasks. Isomorphic tasks are explicitly and rigorously designed to be…
Descriptors: Bayesian Statistics, Constructed Response, Estimation (Mathematics), Evaluation Methods
Dewdney, A. K. – Scientific American, 1989
Reviews the performance of computer programs for writing poetry and prose, including MARK V. SHANEY, MELL, POETRY GENERATOR, THUNDER THOUGHT, and ORPHEUS. Discusses the writing principles of the programs. Provides additional information on computer magnification techniques. (YP)
Descriptors: Computer Simulation, Computer Software, Computer Software Reviews, Computers
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Gardner, William – Psychometrika, 1990
This paper provides a method for analyzing data consisting of event sequences and covariate observations associated with Markov chains. The objective is to use the covariate data to explain differences between individuals in the transition probability matrices characterizing their sequential data. (TJH)
Descriptors: Cognitive Development, Equations (Mathematics), Estimation (Mathematics), Individual Differences
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Frisson, Steven; Rayner, Keith; Pickering, Martin J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2005
In 2 eye-movement experiments, the authors tested whether transitional probability (the statistical likelihood that a word precedes or follows another word) affects reading times and whether this occurs independently from contextual predictability effects. Experiment 1 showed early effects of predictability, replicating S. A. McDonald and R. C.…
Descriptors: Probability, Eye Movements, Reading, Context Effect
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Nicholls, Miles G. – Higher Education: The International Journal of Higher Education and Educational Planning, 2007
In this paper, absorbing markov chains are used to analyse the flows of higher degree by research candidates (doctoral and master) within an Australian faculty of business. The candidates are analysed according to whether they are full time or part time. The need for such analysis stemmed from what appeared to be a rather poor completion rate (as…
Descriptors: Probability, Databases, Markov Processes, Student Characteristics
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Rajasekhar, Mamilla; Anitha, Cuddapah – Journal of Educational Technology, 2005
It is high time for Indian universities to transform themselves from sellers to marketers, though they are non-profit organizations, in marketing their degrees to its customers (students). In this direction e-learning could be one of the tools that helps achieve this objective. The authors in this survey-based article studied the consumers'…
Descriptors: Foreign Countries, Higher Education, Universities, Electronic Learning
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Johnson, Matthew S.; Junker, Brian W. – Journal of Educational and Behavioral Statistics, 2003
Unfolding response models, a class of item response theory (IRT) models that assume a unimodal item response function (IRF), are often used for the measurement of attitudes. Verhelst and Verstralen (1993)and Andrich and Luo (1993) independently developed unfolding response models by relating the observed responses to a more common monotone IRT…
Descriptors: Markov Processes, Item Response Theory, Computation, Data Analysis
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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Zaki, Moncef; Pluvinag, Francois – Educational Studies in Mathematics, 1991
Probability theory can be developed from a theoretical or experimental probability approach. The problem, "The Gambler's Ruin," is used to study whether students are naturally sensitive to learning probability from an experimental probability approach through simulations. Results indicated that use of simulations can contribute to…
Descriptors: Cognitive Development, Computer Simulation, Concept Formation, French
Borden, Victor M. H.; Dalphin, John F. – 1998
This study used Markov chain matrices to simulate the effect of varying degrees of change in student characteristics on retention and graduation rates. Data were applied to a 1-year enrollment transition matrix that tracks how students of each class level progress into the same or higher class levels, to a completed degree, or to non-returning…
Descriptors: Academic Persistence, College Students, Credits, Enrollment
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Wang, Xiaohui; Bradlow, Eric T.; Wainer, Howard – ETS Research Report Series, 2005
SCORIGHT is a very general computer program for scoring tests. It models tests that are made up of dichotomously or polytomously rated items or any kind of combination of the two through the use of a generalized item response theory (IRT) formulation. The items can be presented independently or grouped into clumps of allied items (testlets) or in…
Descriptors: Computer Assisted Testing, Statistical Analysis, Test Items, Bayesian Statistics
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Johnson, Matthew S.; Jenkins, Frank – ETS Research Report Series, 2005
Large-scale educational assessments such as the National Assessment of Educational Progress (NAEP) sample examinees to whom an exam will be administered. In most situations the sampling design is not a simple random sample and must be accounted for in the estimating model. After reviewing the current operational estimation procedure for NAEP, this…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, National Competency Tests, Sampling
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McFarland, Daniel A. – Sociology of Education, 2006
What do course trajectories look like? Do career paths intersect? Do courses assume distinct roles in educational careers? What factors lead students to adopt various curricular moves? This article addresses these questions by examining the structure and dynamics of participant flows across courses in two high school math curricula. Drawing on…
Descriptors: Curriculum Development, High Schools, Markov Processes, Mathematics Instruction
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Dunn, Michelle C.; Kadane, Joseph B.; Garrow, John R. – Journal of Educational and Behavioral Statistics, 2003
This article addresses the relationship between academic achievement and the student characteristics of absence and mobility. Mobility is a measure of how often a student changes schools. Absence is how often a student misses class. Standardized test scores are used as proxies for academic achievement. A model for the full joint distribution of…
Descriptors: Standardized Tests, Academic Achievement, Probability, Student Mobility
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