7,343 research outputs found

    Submission to the Commons Select Committee on Education

    No full text
    Computing is a rigorous, intellectually rich discipline alongside Maths, Science, or History. Like those subjects, Computing explores foundational principles and ideas, rather than training students in skills that date quickly. In an increasingly digital, knowledge-based age, Computing is fundamental both to full citizenship, and to our economic health as a nation. Yet, incredibly, Computing is virtually absent from UK schools. Instead, secondary schools in England currently teach ICT. The original concept behind ICT was to teach students how to use software to solve real-world problems. That would have been a tremendous achievement had it succeeded. However, what has actually happened in far too many schools is that ICT focuses solely upon IT literacy, and supporting teaching and learning in other curriculum contexts. ICT is not the discipline of understanding and knowledge of computers and the way they work.The creation of the EBac provides the perfect opportunity to send a clear signal to schools and pupils of the importance of Computing. Our key recommendation is that Computing (unlike ICT) should “count” towards the English Baccalaureate.On behalf of Computing at School:Dr. John WoollardProf. Simon Peyton-JonesDr. Bill Mitchel

    Birth of a Learning Law

    Full text link
    Defense Advanced Research Projects Agency; Office of Naval Research (N00014-95-1-0409, N00014-95-1-0657, N00014-92-J-1309

    VI Workshop on Computational Data Analysis and Numerical Methods: Book of Abstracts

    Get PDF
    The VI Workshop on Computational Data Analysis and Numerical Methods (WCDANM) is going to be held on June 27-29, 2019, in the Department of Mathematics of the University of Beira Interior (UBI), Covilhã, Portugal and it is a unique opportunity to disseminate scientific research related to the areas of Mathematics in general, with particular relevance to the areas of Computational Data Analysis and Numerical Methods in theoretical and/or practical field, using new techniques, giving especial emphasis to applications in Medicine, Biology, Biotechnology, Engineering, Industry, Environmental Sciences, Finance, Insurance, Management and Administration. The meeting will provide a forum for discussion and debate of ideas with interest to the scientific community in general. With this meeting new scientific collaborations among colleagues, namely new collaborations in Masters and PhD projects are expected. The event is open to the entire scientific community (with or without communication/poster)

    GRAPH ISOMORPHISMS AND MATRIX SIMILARITY: SWITCHING BETWEEN REPRESENTATIONS

    Get PDF
    A proof whether two graphs (possibly oriented graphs or multigraphs, etc.) are isomorphic or not can be derived by various methods. Some of them are reasonable for small numbers of vertices and/or edges, but not for larger numbers. Switching from iconic representation to a matrix representation transforms the problem of Graph Theory into a problem in Linear Algebra. The support provided by a Computer Algebra System is analyzed, in particular with regard to the building of new mathematical knowledge through a transition from graphical to algebraic representation. Moreover two important issues are discussed: a. the need for more than one representation; b. the direction of the switch between representations, which is non standard, from graphical to algebraic

    Innovative pedagogical practices in the craft of Computing

    Get PDF
    Computer programming, the art of actually instructing a computer to do what one wants, is fundamentally a practical skill. How does one teach this practical skill in a university setting, to students who may not be initially motivated to acquire it, and who may have a variety of past experience, or none at all? Furthermore, how does one do it in a resource-efficient way to large classes? Students are largely motivated by assessment: what is the best way to assess this skill? How does this skill relate to more abstract concepts like “computational thinking”? In this piece NTFs from very different universities explain their solutions
    corecore