Evolution of Stem-driven Computer Science Education: The Perspective of Big Concepts - Rilegato

Tuikys, Vytautas; Burbaite, Renata

Rilegato

ISBN 10: 3031482344 ISBN 13: 9783031482342

Casa editrice: Springer Nature, 2024

Riassunto

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. 

Su questo libro

Informazioni sull'autore

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 Burbaite, 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. 

Dalla quarta di copertina

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. 

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 3031482344
• ISBN 13: 9783031482342
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 376
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania