Dr. Orit Hazzan is Professor at the Department of Education in Science and Technology at Technion - Israel Institute of Technology. Her other publications include the Springer titles Application of Management Theories for STEM Education, Risk Management of Education Systems, The MERge Model for Business Development, Agile Anywhere, and Agile Software Engineering.

Dr. Noa Ragonis is a researcher in the field of computer science education, focusing on cognitive aspects of teaching and learning, particularly in relation to logic programming, object oriented programming, and computational thinking. She has authored ten computer science high-school textbooks and teachers' guides.

Dr. Tami Lapidot is Executive Manager of Machshava - the Israeli National Center for Computer Science Teachers.

All three authors have extensive experience of teaching, management, research, and involvement in computer science teacher preparation programs, as well as of participation in national initiatives and policy-making committees. They have taught courses on computer science and on computer science education to high school pupils, undergraduate students, and pre-service and in-service teachers. The research the authors have conducted examines a variety of computer science education topics, including teaching methods, learning processes, teacher preparation, and social and organizational issues of computer science education.

Presents both a conceptual framework and detailed implementation guidelines for general computer science teaching

Clearly written and structured to be applicable to all levels of education and for any teaching organization, without limiting its focus to instruction for any specific curriculum, programming language or paradigm

Provides learning activities throughout the book

Fully updated new edition featuring new chapters on computational thinking, soft ideas, and data science

Introduction-What Is this Guide About?.- Active Learning and the Active-Learning-Based Teaching Model.- Overview of the Discipline of Computer Science.- Computational Thinking.- Computer Science Soft Concepts and Soft Skills.- Data Science and Computer Science Education.- Research in Computer Science Education.- Problem-Solving Strategies.- Learners' Alternative Conceptions.- Teaching Methods in Computer Science Education.- Lab-Based Teaching.- Types of Questions in Computer Science Education.- Assessment.- Teaching Planning.- Design of Methods of Teaching Computer Science Courses.- Getting Experience in Computer Science Education.- High School Computer Science Teacher Preparation Programs.- Epilogue.