Название: Computer Science Education: Perspectives on Teaching and Learning in School, 2nd Edition
Автор: Sue Sentance, Erik Barendsen, Nicol R. Howard, Carsten Schulte
Издательство: Bloomsbury Academic
Год: 2023
Страниц: 331
Язык: английский
Формат: pdf (true)
Размер: 37.3 MB

Drawing together the most up-to-date research from experts all across the world, the second edition of Computer Science Education offers the most up-to-date coverage available on this developing subject, ideal for building confidence of new pre-service and in-service educators teaching a new discipline. It provides an international overview of key concepts, pedagogical approaches and assessment practices.

With the introduction of computer science in schools, we have probably all seen the media and others become rather fixated with ‘coding’, as if computer science were only about coding and nothing else. There are two problems with this common overgeneralization. The first is the omission of all the other aspects of computer science that are taught in school, including networking, computer architecture, human–computer interaction, data and information, and the impact of technology on society. Second is the assumption that coding is the same as programming, which it is not. Where coding assumes that an algorithm is to be translated into program code and then executed, programming includes the whole process of designing a solution, creating an algorithm and then coding.

We can see that programming is a substantial topic and has frequently been reported as difficult to teach and learn; in addition, there has been a lot of research into how we learn to program over several decades. In this second edition, we decided to increase the focus on programming to capture the full breadth of the subject, including oft-neglected design (Chapter 19) as well as the new and exciting topic of epistemic programming (Chapter 22). It’s exciting to be able to delve a little deeper, and hopefully, readers will find this useful.

Highlights of the second edition include:
- New sections on Machine Learning and data-driven (epistemic) programming
- A new focus on equity and inclusion in computer science education
- Chapters updated throughout, including a revised chapter on relating ethical and societal aspects to knowledge-rich aspects of computer science education
- A new set of chapters on the learning of programming, including design, pedagogy and misconceptions
- A chapter on the way we use language in the Computer Science classroom.

The book is structured to support the reader with chapter outlines, synopses and key points. Explanations of key concepts, real-life examples and reflective points keep the theory grounded in classroom practice.

The book is accompanied by a companion website, including online summaries for each chapter, 3-minute video summaries by each author and an archived chapter on taxonomies and competencies from the first edition.