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Higher Education Computer Science : A Manual of Practical Approaches - Second Edition 2023

By: (Edited by) Clive Rosen , (Edited by) Jenny Carter , (Edited by) Michael O'Grady

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Ksh 9,900.00

Format: Hardback or Cased Book

ISBN-10: 3031293851

ISBN-13: 9783031293856

Edition: Second Edition 2023

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: May 30th, 2023

Print length: 300 Pages

Weight: 616 grams

Dimensions (height x width x thickness): 16.10 x 24.20 x 2.70 cms

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Further, the work provides several examples of putting theory into practice when teaching computer science at both undergraduate and postgraduate levels. Written by experienced practitioners, each chapter tackles a particular teaching activity or topic within computing, presented in such a way that other practitioners can use.

The march towards on-line and blended teaching-present before the Covid-19 pandemic-has been accelerated by it, and there is no going back. Students and staff may object, but the economic drive towards "greater productivity" will inevitably result in less face-to-face (f2f) instruction. Therefore, it is incumbent for those delivering this precious, in-person resource to make maximum use of time...which raises the question, "how"?


The second edition of Higher Education Computer Science offers some potential answers. It also addresses other questions, such as "why have f2f teaching at all?" "what is the purpose of f2f?" and "what is the appropriate balance between the two?" The first edition began to offer suggestions for optimising limited opportunities to get together with students.


Aligned with that, this unique new volume examines how to use the technology available to maximum advantage: For example, resources such as Moocs and other on-line instructional materials can provide invaluable pedagogic support. In addition, the book addresses ''problem-based learning,'' using robotics in the teaching of programming, and a multidisciplinary approach to data science. Although it includes a chapter on distance learning, there is greater emphasis placed on the soft, transferable skills and employability skills that are best delivered in person. Further, the work provides several examples of putting theory into practice when teaching computer science at both undergraduate and postgraduate levels.


Written by experienced practitioners, each chapter tackles a particular teaching activity or topic within computing, presented in such a way that other practitioners can use. As such, this new volume will be an invaluable resource to those who want to protect and optimise in-person teaching.


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