Evolution of STEM-Driven Computer Science Education : The Perspective of Big Concepts / by Vytautas Štuikys, Renata Burbaitė.

Format:

Book

Author/Creator:

Štuikys, V. (Vytautas)

Contributor:

Burbaitė, Renata.

Series:

Computer Science Series

Language:

English

Subjects (All):

Computational intelligence.

Education--Data processing.

Education.

Software engineering.

Robotics.

Computational Intelligence.

Computers and Education.

Software Engineering.

Local Subjects:

Computational Intelligence.

Computers and Education.

Software Engineering.

Robotics.

Physical Description:

1 online resource (xvi, 360 pages) : illustrations (some color)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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-drivenCS education strategies, curriculum development, and new ideas for research. .

Contents:

Context and model for writing this book: An idea of big concepts

Part 1: Pedagogical aspects of STEM-driven CS education evolution: Integrated STEM-CS Skills model, personalisation aspects and collaborative learning

Models for the development and assessment of Integrated STEM (ISTEM) Skills: A case study

Enforcing STEM-driven CS education through personalisation

Personal generative libraries for personalised learning: A case study

Enforcing STEM-driven CS education through collaborative learning

Part 2: Internet of Things (IoT) and Data Science (DS) concepts in K-12 STEM-driven CS education.-Methodological aspects of educational internet of things

Multi-stage prototyping for introducing IoT concepts: A case study

Introducing data science concepts into STEM-driven computer science education

Part 3: Introduction to artificial intelligence

A vision for introducing AI topics: A case study

Speech recognition technology in K-12 STEM-driven computer science education

Introduction to artificial neural networks and machine learning

Overall evaluation of this book concepts and approaches.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-48235-2

OCLC:

1417158785