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Mkrttchian, Vardan; Gamidullaeva, Leyla; Finogeev, Alexey; Chernyshenko, Serge V.; Chernyshenko, Vsevolod; Amirov, Danis; Potapova, Irina – International Journal of Web-Based Learning and Teaching Technologies, 2021
To respond to the needs of digital transformation, universities must continue to play their role as proving ground for educating the future generation and innovation. The article is devoted to overview, discussion, and investigation of application in higher education of two modern information technologies: big data and internet of things. The…
Descriptors: Influence of Technology, Higher Education, Data, Internet
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Choi, Ikkyu; Deane, Paul – Language Assessment Quarterly, 2021
Keystroke logs provide a comprehensive record of observable writing processes. Previous studies examining the keystroke logs of young L1 English writers performing experimental writing tasks have identified writing processes features predictive of the quality of responses. Contrarily, large-scale studies on the dynamic and temporal nature of L2…
Descriptors: Writing Processes, Writing Evaluation, Computer Assisted Testing, Learning Analytics
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Ridgway, Jim – Teaching Statistics: An International Journal for Teachers, 2021
The COVID epidemic has provided an excellent example of the need to call on a wide variety of statistical tools to address a global problem, and can give students insights into some of the dimensions of data science. Here, we describe some of the characteristics of data that students encounter as citizens. We set out some teaching ideas, which…
Descriptors: COVID-19, Pandemics, Data Analysis, Data Use
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McDowall, Ailie; Mills, Carmen; Cawte, Katie; Miller, Jodie – Asia-Pacific Journal of Teacher Education, 2021
A shifting policy landscape in Australian teacher education has led to the introduction of teaching performance assessment tasks in initial teacher education degrees, foregrounding data literacy practices. The aim of this research was to explore pre-service teachers' uses of data to inform and evaluate their teaching practice as demonstrated in…
Descriptors: Data Use, Decision Making, Data Interpretation, Multiple Literacies
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Tebeck, Claudette – Science Teacher, 2021
School closures in the wake of the COVID-19 pandemic led to kids asking pertinent questions about why they were not in school, especially some students suffering financial hardship. Virtual classrooms became the mundane venues for students to piece together the pandemic puzzle and unpack unseen inequities. This article examines disparities that…
Descriptors: COVID-19, Pandemics, Racial Differences, Science Instruction
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Foster, Elizabeth – Learning Professional, 2021
Acting to dismantle structural racial inequities begins with identifying and clearly naming the challenges being faced. Data play a powerful role in this process. Several recent publications synthesize data sources, research findings, and expert recommendations to inform and guide equity improvement efforts. A five-part "Statement of the…
Descriptors: Data Use, Equal Education, Racial Discrimination, Data Analysis
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Calvera-Isabal, Miriam; Varas, Nuria; Santos, Patricia – International Association for Development of the Information Society, 2021
This paper describes a preliminary study of how computational methods allow us to know more about citizen science and its connection with education. Citizen science is a practice involving a general public in scientific tasks and generating knowledge and scientific results. Previous studies have shown that the education sector can take benefit of…
Descriptors: Citizen Participation, Scientific Research, Science and Society, Science Education
Enakshi Saha – ProQuest LLC, 2021
We study flexible Bayesian methods that are amenable to a wide range of learning problems involving complex high dimensional data structures, with minimal tuning. We consider parametric and semiparametric Bayesian models, that are applicable to both static and dynamic data, arising from a multitude of areas such as economics, finance and…
Descriptors: Bayesian Statistics, Probability, Nonparametric Statistics, Data Analysis
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Yi, Zhihui; Schreiber, James B.; Paliliunas, Dana; Barron, Becky F.; Dixon, Mark R. – Journal of Behavioral Education, 2021
The recent commentary by Beaujean and Farmer (2020) on the original paper by Dixon et al. (2019) serves a cautionary tale of selective p-values, the law of small N sizes, and the type-II error. We believe these authors have crafted a somewhat questionable argument in which only 57% of the original Dixon et al. data were re-analyzed, based on a…
Descriptors: Research Problems, Data Analysis, Statistical Analysis, Probability
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Schneider, Jack; Gottlieb, Derek – Educational Theory, 2021
State and federal policymakers "see" school performance via formal measures -- data collected with attendance sheets and standardized tests. Such an approach, though not without its merits, is extremely limited and inherently exposed to the threat of systematic misperception and unintended consequences, especially as policymakers try to…
Descriptors: Accountability, Education, Governance, Educational Assessment
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Foster, Robert C. – Educational and Psychological Measurement, 2021
This article presents some equivalent forms of the common Kuder-Richardson Formula 21 and 20 estimators for nondichotomous data belonging to certain other exponential families, such as Poisson count data, exponential data, or geometric counts of trials until failure. Using the generalized framework of Foster (2020), an equation for the reliability…
Descriptors: Test Reliability, Data, Computation, Mathematical Formulas
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Fleming, Jesse I.; Wilson, Sarah Emily; Hart, Sara A.; Therrien, William J.; Cook, Bryan G. – Educational Psychologist, 2021
Openness is a foundational principle in science. Making the tools and products of scientific research openly accessible advances core aims and values of education researchers, such as the credibility, equity, impact, and efficiency of research. The digital revolution has expanded opportunities for providing greater access to research. In this…
Descriptors: Access to Information, Educational Research, Data, Problems
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Lechner, Verena Elisabeth – Journal of Visual Literacy, 2021
For creating and reading data visualizations, visual literacy is crucial. This article advances the knowledge about graphical variations and conventions related to the basic graphical element of the graphical line used as a connector in data visualizations. Some visual characteristics of connecting lines can be used to show directionality and thus…
Descriptors: Visual Aids, Data, Visual Literacy, Narration
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Fawcett, Darcy – set: Research Information for Teachers, 2019
This Assessment News article introduces readers to a statistical approach to making sense of student assessment data in order to help teachers understand whether or not changes in practice have made a difference to learning. It Worked! is the brainchild of Darcy Fawcett, HoD Science at Gisborne Boys' High School, and Across-School Teacher for the…
Descriptors: Data Analysis, Data Use, Evidence Based Practice, Communities of Practice
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Makar, Katie; Fry, Kym; English, Lyn – ZDM: Mathematics Education, 2023
Much of the mathematics that children experience in school neglect the skills increasingly needed for citizenship, particularly the power of complex data to investigate and make sense of the world. We draw on the relatively new field of data science as a multi-disciplinary approach to investigate problems through analysis of massive, non-standard,…
Descriptors: Elementary School Students, Citizenship Education, Data Science, Mathematics Education
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