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Smith, Amy; Molinaro, Marco; Lee, Alisa; Guzman-Alvarez, Alberto – Science Teacher, 2014
For students to be successful in STEM, they need "statistical literacy," the ability to interpret, evaluate, and communicate statistical information (Gal 2002). The science and engineering practices dimension of the "Next Generation Science Standards" ("NGSS") highlights these skills, emphasizing the importance of…
Descriptors: STEM Education, Statistics, Statistical Analysis, Learning Modules
Education Development Center, Inc., 2006
Countries that begin implementing the Intel[R] Teach to the Future Essentials course after March of 2006 are required to collect data using the Intel[R] Teach Essentials End of Training Survey to help support program improvement. This End of Training evaluation toolkit provides guidelines on: (1) End of Training Survey administration; (2) The…
Descriptors: Program Effectiveness, Program Improvement, Strategic Planning, Formative Evaluation
Bernhardt, Victoria L. – Eye on Education, 2005
This book helps you make sense of the data your school collects, including state student achievement results as well as other qualitative and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying CD-ROM. High stakes accountability requires that you develop your understanding of who your students are and…
Descriptors: Data Analysis, Accountability, Academic Achievement, High Schools
Hungerford, Harold R.; And Others – 1992
Middle school and high school students need to develop many skills in order to investigate environmental issues and know the basics of citizenship action strategies. This student guide is designed to teach students how to investigate and evaluate environmental issues and actions. The guide is presented in six modules. Module 1 introduces the…
Descriptors: Data Collection, Data Interpretation, Environmental Education, Inquiry