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Ozgun-Koca, S. Asli; Edwards, Thomas G. – Mathematics Teaching in the Middle School, 2011
A common activity--having students collect data to measure the radius and circumference of circular objects--can be given a new twist. These data can be viewed virtually using technology. A dynamic geometry environment coupled with the powerful capabilities of a spreadsheet can greatly enhance student learning. The activity in this article…
Descriptors: Graphing Calculators, Geometric Concepts, Geometry, Data Collection
Watson, Jane; Wright, Suzie – Australian Mathematics Teacher, 2008
This article explores the issues associated with developing ideas of informal inference and introduces the software package, TinkerPlots, as a tool to facilitate this development. The activities suggested in this article are intended for use with middle and secondary students (grades 6 to 10). The data and suggestions presented have arisen mainly…
Descriptors: Middle School Students, Middle School Teachers, Inferences, Foreign Countries
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Parr, Cynthia Sims; Jones, Tricia; Songer, Nancy Butler – Journal of Science Education and Technology, 2004
Despite a rise in the use of handheld computers in classrooms, meaningful learning with personal digital assistant (PDA) technology remains poorly studied. This article reports results from an evaluation of customized handheld data collection software, the BioKIDS Sequence, which was used during an 8-week biodiversity curriculum unit by 5th and…
Descriptors: Biodiversity, Grade 6, Educational Technology, Computer Software
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection