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Showing all 14 results Save | Export
Streeter, Matthew – International Educational Data Mining Society, 2015
We show that student learning can be accurately modeled using a mixture of learning curves, each of which specifies error probability as a function of time. This approach generalizes Knowledge Tracing [7], which can be viewed as a mixture model in which the learning curves are step functions. We show that this generality yields order-of-magnitude…
Descriptors: Probability, Error Patterns, Learning Processes, Models
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Chan, Tan Fung Ivan; Borja, Marianne; Welch, Brett; Batiuk, Mary Ellen – Journal of Information Technology Education: Research, 2016
Instructional technologies can be effective tools to foster student engagement, but university faculty may be reluctant to integrate innovative and evidence-based modern learning technologies into instruction. Based on Rogers' diffusion of innovation theory, this quantitative, nonexperimental, one-shot cross-sectional survey determined what…
Descriptors: Probability, Faculty, Higher Education, Audience Response Systems
MacLellan, Christopher J.; Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
Additive Factors Model (AFM) and Performance Factors Analysis (PFA) are two popular models of student learning that employ logistic regression to estimate parameters and predict performance. This is in contrast to Bayesian Knowledge Tracing (BKT) which uses a Hidden Markov Model formalism. While all three models tend to make similar predictions,…
Descriptors: Factor Analysis, Regression (Statistics), Knowledge Level, Markov Processes
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Case, Catherine; Whitaker, Douglas – Mathematics Teacher, 2016
In the criminal justice system, defendants accused of a crime are presumed innocent until proven guilty. Statistical inference in any context is built on an analogous principle: The null hypothesis--often a hypothesis of "no difference" or "no effect"--is presumed true unless there is sufficient evidence against it. In this…
Descriptors: Mathematics Instruction, Technology Uses in Education, Educational Technology, Statistical Inference
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Kosteniuk, Julie G.; Morgan, Debra G.; O'Connell, Megan E.; Dal Bello-Haas, Vanina; Stewart, Norma J. – Educational Gerontology, 2016
Home care staff who provide housekeeping and personal care to individuals with dementia generally have lower levels of dementia care training compared with other health care providers. The study's purposes were to determine whether the professional role of home care staff in a predominantly rural region was associated with preferences for delivery…
Descriptors: Dementia, Older Adults, Rural Areas, Delivery Systems
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Waight, Noemi; Chiu, Ming Ming; Whitford, Melinda – Journal of Science Education and Technology, 2014
This study contributed to our understanding of those factors that serve as predictors of science teachers' selection and use of technologies and more specifically, how selection and usage was realized among teachers of different science disciplines. Notable descriptive statistics were examined, and we tested an explanatory model of how…
Descriptors: Science Teachers, Secondary School Science, High Schools, Predictor Variables
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Tillman, Daniel A.; An, Song A.; Cohen, Jonathan D.; Kjellstrom, William; Boren, Rachel L. – Journal of Educational Multimedia and Hypermedia, 2014
This mixed methods study examined the impacts of digital fabrication activities that were integrated into contextualized mathematics education. The study investigated the students' mathematics content knowledge and attitudes. Data analysis yielded two key findings regarding our intervention combined with the other mathematics activities resulted…
Descriptors: Mixed Methods Research, Mathematics Instruction, Teaching Methods, Student Attitudes
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
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McGowan, Herle M. – Journal of Statistics Education, 2011
A well-designed experiment is the best method for establishing efficacy of any intervention, be it medical, behavioral, or educational in nature. This paper reviews the steps necessary in conducting a comparative experiment in an educational setting, and illustrates how these steps might be fulfilled within the context of a large-scale randomized…
Descriptors: Statistics, Experiments, Comparative Analysis, Research Methodology
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 modules also introduce students to real world math concepts and problems that property and casualty actuaries come across in their work. They are designed to be used by teachers and…
Descriptors: Probability, Statistics, Learning Modules, Calculus
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Sturm-Beiss, Rachel – Journal of Statistics Education, 2005
Analysis of variance (ANOVA), a technique included in many introductory statistics courses, analyzes the relationship between a quantitative dependent variable and one or more independent qualitative variables. The nature of the relationship is expressed in a model with unknown parameters. Many textbooks emphasize the mechanics of the technique…
Descriptors: Statistical Analysis, Educational Technology, Computer Simulation, Statistics
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Yu, Lei; Livingston, Samuel A.; Larkin, Kevin C.; Bonett, John – ETS Research Report Series, 2004
This study compared essay scores from paper-based and computer-based versions of a writing test for prospective teachers. Scores for essays in the paper-based version averaged nearly half a standard deviation higher than those in the computer-based version, after applying a statistical control for demographic differences between the groups of…
Descriptors: Essays, Writing (Composition), Computer Assisted Testing, Technology Uses in Education
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Plummer, Robert; And Others – Mathematics Teacher, 1993
Uses a graphing calculator to predict the record for running a mile, throwing a shot put, and high jumping for any year in the future and the probable record for any year before statistics were kept, based on the statistical analysis of prior records. Data tables and a computer program are provided. (MDH)
Descriptors: Athletics, Data Analysis, Educational Technology, Graphing Calculators
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Ali, Rosihan M.; Kor, Liew Kee – EURASIA Journal of Mathematics, Science & Technology Education, 2007
This paper presents the preliminary results of a study conducted to investigate the differences in brain hemisphericity and learning styles on students' confidence in using the graphics calculator (GC) to learn mathematics. Data were collected from a sample of 44 undergraduate mathematics students in Malaysia using Brain-Dominance Questionnaire,…
Descriptors: Cognitive Style, Brain Hemisphere Functions, Mathematics, Mathematics Instruction