On US (S&E) teacher teaching challenge aspect, imagine researchers being able to precisely foresee future characteristics of biological organisms, human disease risk, drug therapy response, food crop yields and environmental remediation to name just a few. Nature is full of diverse species in all shapes, colors and sizes. Each with characteristics resulting from a complex interaction of genetics and the environment. For example, the universally recognized biggest gap in biological knowledge is their inability to predict an organism's observable characteristics, its phenotype from what we know about its genetics and environment. Many factors influence the traits in an organism, making this prediction is extreme complex. This biological educational challenge will require research across biology, computer science, mathematics, behavioral sciences and engineering. This initiative understanding the rules of life predicting phenotype will include research in data integration analysis, modeling and informatics techniques. So, US science and engineering teachers need to learn how to apply internet to raise teaching quality to teach their students more easily and effectively and efficiently in classroom.I recommend an online platform of data tools for large scale analysis of complex biological problems will be one suitable tool to be used for educational aim in the future. I also recommend to apply internet teaching toole to change future school science and engineering experiment work place to carrying on any science and engineering experimenting in school laboratories. It will require a changing future school experiment work force, making (S&E) education and lifelong learning important priorities. We need have a unique opportunity to actively shape the development and use of techniques to improve the quality of experiment work when also increasing productivity and economics growth in manufacturing and in service sectors, such as healthcare and education from internet technology. For example, (S&E) activities rely increasingly on infrastructure that is diverse in space, cost and implementation time, everything from major observatories to nationwide sensor networks to smaller experiments from internet educational tool.
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