Overview
- Includes an evolutionary model to understand the aim and content of the book
- Covers Big Concepts - the Internet of Things, Data Science, Artificial Intelligence and Robotics from a didactic view
- Guides the creation of STEM/CS-based teaching materials to better integrate these topics into the learning process
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
The book discusses the evolution of STEM-driven Computer Science (CS) Education based on three categories of Big Concepts, Smart Education (Pedagogy), Technology (tools and adequate processes) and Content that relates to IoT, Data Science and AI.
For developing, designing, testing, delivering and assessing learning outcomes for K-12 students (9-12 classes), the multi-dimensional modelling methodology is at the centre. The methodology covers conceptual and feature-based modelling, prototyping, and virtual and physical modelling at the implementation and usage level. Chapters contain case studies to assist understanding and learning. The book contains multiple methodological and scientific innovations including models, frameworks and approaches to drive STEM-driven CS education evolution.
Educational strategists, educators, and researchers will find valuable material in this book to help them improve STEM-driven CS education strategies, curriculum development, and new ideas for research.
Similar content being viewed by others
Keywords
Table of contents (12 chapters)
-
Front Matter
-
Pedagogical Aspects of STEM-Driven CS Education Evolution: Integrated STEM-CS Skills Model, Personalisation Aspects and Collaborative Learning
-
Front Matter
-
-
Internet of Things (IoT) and Data Science (DS) Concepts in K–12 STEM-Driven CS Education
-
Front Matter
-
-
Introduction to Artificial Intelligence
-
Front Matter
-
-
Back Matter
Authors and Affiliations
About the authors
Vytautas Štuikys is a Professor-emeritus. He holds PhD and doctor habilitatus degrees in Software Engineering. and Computer Science. His research interests include automated design (including STEM-driven systems and components) using high-level models and approaches (including AI-based ones). He has published more than 150 papers in the international Journals and Conference Proceedings. He is an author (co-author) of four monographs published by Springer Nature.
Renata Burbaitė, PhD, is an Informatics (Computer Science, Robotics) teacher at school and an Assoc. Professor at the Software Engineering Department of Kaunas University of Technology. Her research interests include smart education system design, Computer Science (CS) educational domain modelling, STEM-oriented robot-based CS education methodologies. She organizes seminars and workshops for the country's informatics teachers and serves on the assessment board of the State matriculation exam in information technology. She is a co-author of more than 40 research papers and monographs, Smart STEM-Driven Computer Science Education: Theory, Methodology, and Robot-Based Practices”, published by Springer in 2018, and of 4 textbooks for high school students.
Bibliographic Information
Book Title: Evolution of STEM-Driven Computer Science Education
Book Subtitle: The Perspective of Big Concepts
Authors: Vytautas Štuikys, Renata Burbaitė
DOI: https://doi.org/10.1007/978-3-031-48235-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-48234-2Published: 02 January 2024
Softcover ISBN: 978-3-031-48237-3Due: 15 January 2025
eBook ISBN: 978-3-031-48235-9Published: 01 January 2024
Edition Number: 1
Number of Pages: XVI, 360
Number of Illustrations: 44 b/w illustrations, 39 illustrations in colour
Topics: Computational Intelligence, Computers and Education, Software Engineering/Programming and Operating Systems, Robotics