Guide to Teaching Computer Science
An Activity-Based Approach
(Sprache: Englisch)
This concise yet thorough textbook presents an active-learning model for the teaching of computer science. Offering both a conceptual framework and detailed implementation guidelines, the work is designed to support a Methods of Teaching Computer Science...
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Klappentext zu „Guide to Teaching Computer Science “
This concise yet thorough textbook presents an active-learning model for the teaching of computer science. Offering both a conceptual framework and detailed implementation guidelines, the work is designed to support a Methods of Teaching Computer Science (MTCS) course, but may be applied to the teaching of any area of computer science at any level, from elementary school to university. This text is not limited to any specific curriculum or programming language, but instead suggests various options for lesson and syllabus organization.Fully updated and revised, the third edition features more than 40 new activities, bringing the total to more than 150, together with new chapters on computational thinking, data science, and soft concepts and soft skills. This edition also introduces new conceptual frameworks for teaching such as the MERge model, and new formats for the professional development of computer science educators.
Topics and features: includes an extensive set of activities, to further support the pedagogical principles outlined in each chapter; discusses educational approaches to computational thinking, how to address soft concepts and skills in a MTCS course, and the pedagogy of data science (NEW); focuses on teaching methods, lab-based teaching, and research in computer science education, as well as on problem-solving strategies; examines how to recognize and address learners' misconceptions, and the different types of questions teachers can use to vary their teaching methods; provides coverage of assessment, teaching planning, and designing a MTCS course; reviews high school teacher preparation programs, and how prospective teachers can gain experience in teaching computer science.
This easy-to-follow textbook and teaching guide will prove invaluable to computer science educators within all frameworks, including university instructors and high school teachers, as well as to instructors of computer science teacher preparation programs.
... mehr
This concise yet thorough textbook presents an active-learning model for the teaching of computer science. Offering both a conceptual framework and detailed implementation guidelines, the work is designed to support a Methods of Teaching Computer Science (MTCS) course, but may be applied to the teaching of any area of computer science at any level, from elementary school to university. This text is not limited to any specific curriculum or programming language, but instead suggests various options for lesson and syllabus organization.
Fully updated and revised, the third edition features more than 40 new activities, bringing the total to more than 150, together with new chapters on computational thinking, data science, and soft concepts and soft skills. This edition also introduces new conceptual frameworks for teaching such as the MERge model, and new formats for the professional development of computer science educators.
Topics and features: includes an extensive set of activities, to further support the pedagogical principles outlined in each chapter; discusses educational approaches to computational thinking, how to address soft concepts and skills in a MTCS course, and the pedagogy of data science (NEW); focuses on teaching methods, lab-based teaching, and research in computer science education, as well as on problem-solving strategies; examines how to recognize and address learners' misconceptions, and the different types of questions teachers can use to vary their teaching methods; provides coverage of assessment, teaching planning, and designing a MTCS course; reviews high school teacher preparation programs, and how prospective teachers can gain experience in teaching computer science.
This easy-to-follow textbook and teaching guide will prove invaluable to computer science educators within all frameworks, including university instructors and high school teachers, as well as to instructors of computer science teacher preparation programs.
Fully updated and revised, the third edition features more than 40 new activities, bringing the total to more than 150, together with new chapters on computational thinking, data science, and soft concepts and soft skills. This edition also introduces new conceptual frameworks for teaching such as the MERge model, and new formats for the professional development of computer science educators.
Topics and features: includes an extensive set of activities, to further support the pedagogical principles outlined in each chapter; discusses educational approaches to computational thinking, how to address soft concepts and skills in a MTCS course, and the pedagogy of data science (NEW); focuses on teaching methods, lab-based teaching, and research in computer science education, as well as on problem-solving strategies; examines how to recognize and address learners' misconceptions, and the different types of questions teachers can use to vary their teaching methods; provides coverage of assessment, teaching planning, and designing a MTCS course; reviews high school teacher preparation programs, and how prospective teachers can gain experience in teaching computer science.
This easy-to-follow textbook and teaching guide will prove invaluable to computer science educators within all frameworks, including university instructors and high school teachers, as well as to instructors of computer science teacher preparation programs.
... weniger
Inhaltsverzeichnis zu „Guide to Teaching Computer 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 TeachingTypes 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
Autoren-Porträt von Orit Hazzan, Noa Ragonis, Tami Lapidot
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.
Bibliographische Angaben
- Autoren: Orit Hazzan , Noa Ragonis , Tami Lapidot
- 2021, 3. Aufl., XX, 407 Seiten, 13 farbige Abbildungen, Masse: 16 x 23,7 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030393623
- ISBN-13: 9783030393625
Sprache:
Englisch
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