9783030393595-3030393593-Guide to Teaching Computer Science: An Activity-Based Approach

Guide to Teaching Computer Science: An Activity-Based Approach

ISBN-13: 9783030393595
ISBN-10: 3030393593
Edition: 3rd ed. 2020
Author: Orit Hazzan, Noa Ragonis, Tami Lapidot
Publication date: 2020
Publisher: Springer
Format: Hardcover 427 pages
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ISBN-13: 9783030393595
ISBN-10: 3030393593
Edition: 3rd ed. 2020
Author: Orit Hazzan, Noa Ragonis, Tami Lapidot
Publication date: 2020
Publisher: Springer
Format: Hardcover 427 pages

Summary

Guide to Teaching Computer Science: An Activity-Based Approach (ISBN-13: 9783030393595 and ISBN-10: 3030393593), written by authors Orit Hazzan, Noa Ragonis, Tami Lapidot, was published by Springer in 2020. With an overall rating of 3.7 stars, it's a notable title among other books. You can easily purchase or rent Guide to Teaching Computer Science: An Activity-Based Approach (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.2.

Description

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.
From the Back Cover
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 prog

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