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.
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.
Author(s): Sue Sentance, Erik Barendsen, Nicol R. Howard, Carsten Schulte
Edition: 2
Publisher: Bloomsbury Academic
Year: 2023
Language: English
Pages: 330
City: London
Cover
Half Title
Series
Title
Copyright
Contents
How to Use This Book
Figures
Tables
Contributors
Preface
Foreword to the Second Edition
Part 1 Positioning Computer Science in Schools
1 Introduction to Part 1 (Carsten Schulte)
2 The Nature of Computing as a Discipline (Matti Tedre)
3 Perspectives on Computing Curricula (Erik Barendsen and Mara Saeli)
4 Computer Science, Interaction and the World: The ARIadne Principle (Carsten Schulte, Felix Winkelnkemper and Lea
5 Computational Thinking: A Competency Whose Time Has Come (Shuchi Grover and Roy Pea)
6 Learning Machine Learning in K–12 (Ilkka Jormanainen, Matti Tedre, Henriikka Vartiainen, Teemu Valtonen, Ta
Part 2 Computing for All: Equity and Inclusion
7 Introduction to Part 2 (Nicol R. Howard)
8 Equity and Inclusion in Computer Science Education: Research on Challenges and Opportunities (Jill Denner and Shannon
9 Engaging Culturally Relevant and Responsive Pedagogies in Computer Science Classrooms (Tia C. Madkins and Nicol R. H
10 Increasing Access, Participation and Inclusion within K–12 CS Education through Universal Design for Learning and High Lever
Part 3 Teaching and Learning in Computer Science
11 Introduction to Part 3 (Erik Barendsen)
12 Teaching Computing in Primary Schools (Tim Bell and Caitlin Duncan)
13 Teaching of Concepts (Paul Curzon, Peter W. McOwan, James Donohue, Seymour Wright and William Marsh)
14 Language and Computing (Ira Diethelm, Juliana Goschler, Timo Arnken and Sue Sentance)
15 Investigating Attitudes towards Learning Computer Science (Quintin Cutts and Peter Donaldson)
16 Formative Assessment in the Computing Classroom (Sue Sentance, Shuchi Grover and Maria Kallia)
Part 4 A Focus on Programming
17 Introduction to Part 4 (Sue Sentance)
18 Principles of Programming Education (Michael E. Caspersen)
19 The Role of Design in Primary (K–5) Programming (Jane Waite)
20 Misconceptions and the Beginner Programmer (Juha Sorva)
21 Programming in the Classroom (Sue Sentance and Jane Waite)
22 Epistemic Programming (Sven Hüsing, Carsten Schulte and Felix Winkelnkemper)
Glossary
Index
