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Showing all 9 results Save | Export
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Achilleas Mandrikas; Constantina Stefanidou; Constantine Skordoulis – Journal of STEM Education: Innovations and Research, 2024
A STEM education program entitled "Come rain or shine" implemented in a primary rural school in southern Greece as part of the "Diffusion of STEM (DI-STEM)" project and the results of its implementation are presented in this paper. The educational program deepened in weather education and intended to develop eight scientific…
Descriptors: Foreign Countries, STEM Education, Elementary Education, Program Implementation
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Duncan, Bruce; Fitzallen, Noleine – Australian Mathematics Teacher, 2013
The learning sequence described in this article was developed to provide students with a demonstration of the development of box plots from authentic data as an illustration of the advantages gained from using multiple forms of data representation. The sequence follows an authentic process that starts with a problem to which data representations…
Descriptors: Data Analysis, Data, Teaching Methods, Comparative Analysis
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Blagdanic, Casandra; Chinnappan, Mohan – Australian Mathematics Teacher, 2013
Numeracy in schools is becoming an increasingly important part of mathematics learning and teaching. This is because educators want students to engage with mathematical concepts more deeply, use mathematics to make sense of their environment and make decisions that are based on the analysis of mathematical information. In order to be numerate,…
Descriptors: Statistical Analysis, Statistics, Data Interpretation, Numeracy
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Sneider, Cary; Stephenson, Chris; Schafer, Bruce; Flick, Larry – Science Teacher, 2014
A "Framework for K-12 Science Education" identified eight practices as "essential elements of the K-12 science and engineering curriculum" (NRC 2012, p. 49). Most of the practices, such as Developing and Using Models, Planning and Carrying Out Investigations, and Analyzing and Interpreting Data, are well known among science…
Descriptors: High School Students, Secondary School Science, Thinking Skills, Computation
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van 't Hooft, Mark; Vahey, Philip; Swan, Karen; Kratcoski, Annette; Cook, Dale; Rafanan, Ken; Stanford, Tina; Yarnell, Louise – Middle Grades Research Journal, 2012
Data literacy is recognized as a critically important skill in today's society, but thinking with and about data is often ignored in K-12 curricula. The Thinking With Data (TWD) project advocates that data literacy is a skill that should be addressed in an interdisciplinary manner. This article provides an overview of the TWD curriculum for middle…
Descriptors: Elementary Secondary Education, Grade 7, Data Analysis, Information Literacy
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Brown, Richard; Davis, Gretchen – Mathematics Teacher, 1990
Presents an activity considering whether a difference exists in the age of Oscar winners. Describes how to draw a stem plot and a box plot as an example of implementing the recommendations of the NCTM Standards. Provides tables showing the name, movie titles, and ages of the Oscar winners since 1928. (YP)
Descriptors: Data Analysis, Data Interpretation, Graphs, Mathematics
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Maone, Teresa – Science Scope, 2004
Students at the middle school level are expected to use appropriate tools and techniques, including mathematics and graphing, to analyze and interpret data and communicate experimental findings. Measures of central tendency (mean, median, and mode--see sidebar for definitions) are often used as descriptive statistics when students conduct…
Descriptors: Statistical Analysis, Data Analysis, Science Education, Graphs
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Davis, Gretchen – Mathematics Teacher, 1990
Describes classroom activities and shows that statistics is a practical tool for solving real problems. Presents a histogram, a stem plot, and a box plot to compare data involving class enrollments. (YP)
Descriptors: Data Analysis, Data Interpretation, Graphs, Mathematics
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Barbella, Peter; And Others – Mathematics Teacher, 1990
Demonstrates a statistically valid method allowing students to explore randomization. Described are two examples: counting techniques for a small set of data and simulation for a large sample. (YP)
Descriptors: Data Analysis, Data Interpretation, Mathematical Concepts, Mathematical Logic