52,457 research outputs found

    The Case for Improving U.S. Computer Science Education

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    Despite the growing use of computers and software in every facet of our economy, not until recently has computer science education begun to gain traction in American school systems. The current focus on improving science, technology, engineering, and mathematics (STEM) education in the U.S. school system has disregarded differences within STEM fields. Indeed, the most important STEM field for a modern economy is not only one that is not represented by its own initial in "STEM" but also the field with the fewest number of high school students taking its classes and by far has the most room for improvement—computer science

    The Scientist, 2015

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    https://scholarworks.sjsu.edu/scientist/1009/thumbnail.jp

    Development of an Assessment of Student Conception of the Nature of Science

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    This article describes a study in which a series of general education and introductory science courses were assessed using a Likert-scale instrument. As universities across the country have begun to make changes in their science curricula, especially with regards to non-science majors, assessment of courses and curricula has lagged behind implementation. The Likert-scale instrument, Attitudes and Conceptions in Science (ACS), provides a means by which faculty can determine the partial effectiveness of introductory and general education science courses. The established validity and reliability of this test suggests that its use in a variety of courses could allow identification of specific teaching methods, content, or other course characteristics that promote scientific literacy. Educational levels: Graduate or professional

    Research and Education in Computational Science and Engineering

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    Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie

    Education and training monitor 2014

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