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Showing 1 to 15 of 47 results Save | Export
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Byran J. Smucker; Nathaniel T. Stevens; Jacqueline Asscher; Peter Goos – Journal of Statistics and Data Science Education, 2023
The design and analysis of experiments (DOE) has historically been an important part of an education in statistics, and with the increasing complexity of modern production processes and the advent of large-scale online experiments, it continues to be highly relevant. In this article, we provide an extensive review of the literature on DOE…
Descriptors: Statistics Education, Data Science, Experiments, Teaching Methods
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Mathôt, Sebastiaan; March, Jennifer – Language Learning, 2022
In this Methods Showcase Article, we outline a workflow for running behavioral experiments online, with a focus on experiments that rely on presentation of complex stimuli and measurement of reaction times, which includes many psycholinguistic experiments. The workflow that we describe here relies on three tools: OpenSesame/OSWeb (open source)…
Descriptors: Behavioral Science Research, Experiments, Psycholinguistics, Research Design
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Cody, Scott; Perez-Johnson, Irma; Joyce, Kristen – American Journal of Evaluation, 2015
Administrative experiments are increasingly available for public programs with high-quality administrative data to identify what changes make programs and services more effective. Program administrators can run short-term experiments to test improvements in programs and have causally valid impact estimates within a year. Administrative experiments…
Descriptors: Administrative Organization, Experiments, Data, Veterans
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Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
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Pinder, Jonathan P. – Decision Sciences Journal of Innovative Education, 2014
Business analytics courses, such as marketing research, data mining, forecasting, and advanced financial modeling, have substantial predictive modeling components. The predictive modeling in these courses requires students to estimate and test many linear regressions. As a result, false positive variable selection ("type I errors") is…
Descriptors: Data Collection, Data Analysis, Regression (Statistics), Predictive Measurement
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Capuano, Nicola; Loia, Vincenzo; Orciuoli, Francesco – IEEE Transactions on Learning Technologies, 2017
Massive Open Online Courses (MOOCs) are becoming an increasingly popular choice for education but, to reach their full extent, they require the resolution of new issues like assessing students at scale. A feasible approach to tackle this problem is peer assessment, in which students also play the role of assessor for assignments submitted by…
Descriptors: Participative Decision Making, Models, Peer Evaluation, Online Courses
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LoPresto, Michael C. – Physics Education, 2016
What follows is a description of the procedure for and results of a simple experiment on the formation of impact craters designed for the laboratory portions of lower mathematical-level general education science courses such as conceptual physics or descriptive astronomy. The experiment provides necessary experience with data collection and…
Descriptors: Physics, Experiments, Science Instruction, Science Curriculum
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Nunn, John – Physics Education, 2016
A cordless mouse with an added reed switch is used as a wireless data logger to record every time the wheel of a trolley completes a revolution. The limitations of the system in terms of maximum clicking rate and spatial resolution are considered and data obtained from the descent of a trolley down a ramp at various different angles is analysed in…
Descriptors: Computer Peripherals, Computers, Computer Uses in Education, Computer Interfaces
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Xu-Friedman, Matthew A. – Advances in Physiology Education, 2013
The quantal hypothesis is central to the modern understanding of how a neurotransmitter is released from synapses. This hypothesis expresses that a neurotransmitter is packaged together in quanta that are released probabilistically. The experiments that led to the quantal hypothesis are often related in introductory neuroscience textbooks, but…
Descriptors: Physiology, Probability, Textbooks, Neurosciences
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Anneli Kylliäinen; Emily J. H. Jones; Marie Gomot; Petra Warreyn; Terje Falck-Ytter – Review Journal of Autism and Developmental Disorders, 2014
Understanding neurocognitive mechanisms in children with autism spectrum disorder (ASD) is an essential goal of autism research. Studying young children with ASD or other neurodevelopmental conditions in demanding experimental settings, however, can pose many practical and ethical challenges. In this article, we present practical strategies that…
Descriptors: Guidelines, Young Children, Autism Spectrum Disorders, Psychophysiology
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Willis, Melinda B. N.; Hay, Sue; Martin, Fred G.; Scribner-MacLean, Michelle; Rudnicki, Ivan – Mathematics Teacher, 2015
Mathematics teachers continually look for ways to make the learning of mathematics more active and engaging. Hands-on activities, in particular, have been demonstrated to improve student engagement and understanding in mathematics classes. Likewise, many scholars have emphasized the growing importance of giving students experience with the…
Descriptors: Mathematics Instruction, Visualization, Computer Software, Computer Uses in Education
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Mylott, Elliot; Klepetka, Ryan; Dunlap, Justin C.; Widenhorn, Ralf – European Journal of Physics, 2011
In this paper, we present a laboratory activity in computed tomography (CT) primarily composed of a photogate and a rotary motion sensor that can be assembled quickly and partially automates data collection and analysis. We use an enclosure made with a light filter that is largely opaque in the visible spectrum but mostly transparent to the near…
Descriptors: Radiation, Science Laboratories, Lighting, Science Activities
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Pearson, Marion L.; Albon, Simon P.; Hubball, Harry – Canadian Journal for the Scholarship of Teaching and Learning, 2015
Individuals and teams engaging in the scholarship of teaching and learning (SoTL) in multidisciplinary higher education settings must make decisions regarding choice of research methodology and methods. These decisions are guided by the research context and the goals of the inquiry. With reference to our own recent experiences investigating…
Descriptors: Case Studies, Scholarship, Instruction, Learning
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Froelich, Amy G.; Stephenson, W. Robert – Teaching Statistics: An International Journal for Teachers, 2013
This article presents activities appropriate for the first half of a general introductory statistics course. All activities revolve around the same data set collected early in the course. The activities require students to make decisions about how they should proceed. (Contains 2 tables and 5 figures.)
Descriptors: Statistics, Introductory Courses, Active Learning, Teaching Methods
Little, Hannah Byrd – Knowledge Quest, 2015
Why is it important to prove that school libraries add value to the school program? The National Center for Education Statistics reports that 20 percent of U.S. public schools lack a full or part-time certified librarian (NCES 2013). In California the ratio of certified school librarians to students is 1:7,374 (California Department of Education…
Descriptors: Evidence, Educational Practices, School Libraries, Library Role
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