Evolution Of Stem Driven Computer Science Education
Download Evolution Of Stem Driven Computer Science Education PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Evolution Of Stem Driven Computer Science Education book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Evolution of STEM-Driven Computer Science Education
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.
Smart STEM-Driven Computer Science Education
At the centre of the methodology used in this book is STEM learning variability space that includes STEM pedagogical variability, learners’ social variability, technological variability, CS content variability and interaction variability. To design smart components, firstly, the STEM learning variability space is defined for each component separately, and then model-driven approaches are applied. The theoretical basis includes feature-based modelling and model transformations at the top specification level and heterogeneous meta-programming techniques at the implementation level. Practice includes multiple case studies oriented for solving the task prototypes, taken from the real world, by educational robots. These case studies illustrate the process of gaining interdisciplinary knowledge pieces identified as S-knowledge, T-knowledge, E-knowledge, M-knowledge or integrated STEM knowledge and evaluate smart components from the pedagogical and technological perspectives based on data gathered from one real teaching setting. Smart STEM-Driven Computer Science Education: Theory, Methodology and Robot-based Practices outlines the overall capabilities of the proposed approach and also points out the drawbacks from the viewpoint of different actors, i.e. researchers, designers, teachers and learners.
Empowering Early Education With Computational Thinking, AI, and STEM
Empowering early education with computational thinking, artificial intelligence (AI), and science, technology, engineering, and mathematics (STEM) is transforming the way students engage with the learning process. As the educational field develops, the integration of these fields in early childhood curricula enhances critical thinking and problem-solving skills while fostering creativity and collaboration among students. By introducing foundational concepts of computational thinking and AI at a young age, educators can cultivate a generation of innovators who are equipped to navigate complex challenges and contribute to society. Further research into effective integration may prepare children for future academic pursuits while instilling a personal interest in learning, ensuring students can thrive in a technological world. Empowering Early Education With Computational Thinking, AI, and STEM explores the integration of computational thinking, AI, and STEM into early education environments. It provides comprehensive guidance on effectively introducing computational thinking, coding skills, and STEM concepts to young learners, offering practical strategies and resources for educators. This book covers topics such as curriculum development, educational technologies, and gamification, and is a useful resource for educators, teachers, administrators, scientists, computer engineers, academicians, and researchers.