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Dogan Temur, Özlem; Akbaba Dag, Serap; Turgut, Sedat – International Electronic Journal of Elementary Education, 2015
With developing technology statistical information and data sources become a very important issues and from primary school it has become necessary to gain the skills for making interpreting and making sense of data. These skills consist of collecting information, arrangement and analysis of collected data and the interpretation of the results. The…
Descriptors: Preservice Teachers, Elementary Education, Student Teaching, Mathematics Instruction
Rule, Audrey C.; Hallagan, Jean E.; Shaffer, Barbara – Online Submission, 2008
Teachers need to address global climate change with students in their classrooms as evidence for consequences from these environmental changes mounts. One way to approach global climate change is through examination of authentic data. Mathematics and science may be integrated by interpreting graphs from the professional literature. This study…
Descriptors: Preservice Teachers, Elementary Education, Graphs, Climate
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Ainley, Janet; Nardi, Elena; Pratt, Dave – International Journal of Computers for Mathematical Learning, 2000
Describes research using a pedagogic strategy developed during an exploratory work called Active Graphing in which access to spreadsheets allows graphs to be used as analytic tools within practical experiments. Identifies aspects of student interaction with the experiment itself, the data collected and the graphs, and traces the emergence of…
Descriptors: Computer Uses in Education, Data Interpretation, Elementary Education, Graphs
Doig, Brian; Groves, Susie – 1999
A glance at any newspaper shows that graphs play an important part in presenting data to the public. It appears self-evident that children need to develop "graphical literacy" as part of their mathematics education. As part of a series of mathematically orientated science activities in the Practical Mechanics in Primary Mathematics project, 102…
Descriptors: Cognitive Processes, Data Interpretation, Elementary Education, Elementary School Mathematics
Rushton, Erik; Ryan, Emily; Swift, Charles – 2001
In this activity, students design and create a LEGO (plastic building blocks) structure to house and protect a temperature sensor. The structure is left in a safe spot and the temperature is regularly checked and charted. This activity uses a time frame of 45 minutes. (Author/SOE)
Descriptors: Creative Thinking, Data Analysis, Data Interpretation, Elementary Education
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Lamphere, Patricia – Teaching Children Mathematics, 1994
Presents activities using the theme of collecting and interpreting data from the students' own classroom. Stresses communication among students and between students and the teacher. Includes reproducible student worksheets. (MKR)
Descriptors: Data Collection, Data Interpretation, Elementary Education, Elementary School Mathematics
Curcio, Frances R. – 1989
This book provides elementary and middle school teachers with practical ideas on the use and teaching of graphs. Five sections consist of: (1) "Graphs--What Are They and How Are They Used?"; (2) "Levels of Graph Comprehension"; (3) "Collecting, Organizing, and Analyzing Data"; (4) "Constructing, Interpreting, and Writing about Graphs"; and (5)…
Descriptors: Comprehension, Data Analysis, Data Interpretation, Elementary Education
Rushton, Erik; Ryan, Emily; Swift, Charles – 2001
Many of today's popular sports are based around the use of a ball yet none are alike. In fact, they are all designed with specific characteristics in mind. In this activity, students investigate different balls' ability to bounce and represent the data they collect graphically. This activity uses a time frame of 100 minutes. (Author/SOE)
Descriptors: Critical Thinking, Data Analysis, Data Interpretation, Elementary Education
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Hitch, Chris; Armstrong, Georganna – Arithmetic Teacher, 1994
Presents four sets of activities to develop the concepts of data analysis and graphing. Students estimate sample populations using beans, examine graphs from newspapers and magazines, predict the most popular color of cars, and simulate quality control in a manufacturing process. (MDH)
Descriptors: Concept Formation, Data Analysis, Data Collection, Data Interpretation