Stem Steam Computational Thinking And Coding Evidence Based Research And Practice In Children S Development

Design is a central activity within Science, Technology, Engineering, and Mathematics (STEM) education. Within enacted practice, design can feature within intended learning outcomes, for example in learning to design, and it can feature within pedagogical methodologies, for example by learning through design. Often holding differing disciplinary interpretations such as design as cyclical problem solving, iterative design, conceptual design, or design with or without make, understanding the educational merits of the ill-defined and open nature of authentic designerly activity is paramount. This Research Topic sets out to gain a more nuanced understanding of the value and role(s) of design within STEM educational contexts. This Research Topic focuses on design within STEM educational contexts, particularly in terms of teaching, learning, and assessment. The aim is to contribute to the evidential basis which can be used to guide the incorporation of design into educational practice. The topic has two central research objectives. The first is to generate evidence regarding what design is in STEM education. For example, is the ability to design a singular or manifold construct? Is the capacity to design, or are factors of this ability, both learnable and teachable? How transferable is designerly knowledge between contexts? How do different disciplinary contexts influence the interpretation of design? The second is to further our understanding of how best to incorporate design within STEM education contexts. For example, how much emphasis should be placed on learning to or through design in school? How should design be assessed within formal education? Where and when is design best incorporated into education? In posing these questions, the goal of this research topic is to provide scholarly discourse which supports critical reflection and the challenging of assumptions regarding design in education.

Computational thinking is a lifelong skill important for succeeding in careers and life. Students especially need to acquire this skill while in school as it can assist with solving a number of complex problems that arise later in life. Therefore, the importance of teaching computational thinking and coding in early education is paramount for fostering problem-solving and creativity. Teaching Computational Thinking and Coding to Young Children discusses the importance of teaching computational thinking and coding in early education. The book focuses on interdisciplinary connections between computational thinking and other areas of study, assessment methods for computational thinking, and different contexts in which computational thinking plays out. Covering topics such as programming, computational thinking assessment, computational expression, and coding, this book is essential for elementary and middle school teachers, early childhood educators, administrators, instructional designers, curricula developers, educational software developers, researchers, educators, academicians, and students in computer science, education, computational thinking, and early childhood education.

As technology continues to develop and prove its importance in modern society, certain professions are acclimating. Aspects such as computer science and computational thinking are becoming essential areas of study. Implementing these subject areas into teaching practices is necessary for younger generations to adapt to the developing world. There is a critical need to examine the pedagogical implications of these technological skills and implement them into the global curriculum. The Handbook of Research on Integrating Computer Science and Computational Thinking in K-12 Education is a collection of innovative research on the methods and applications of computer science curriculum development within primary and secondary education. While highlighting topics including pedagogical implications, comprehensive techniques, and teacher preparation models, this book is ideally designed for teachers, IT consultants, curriculum developers, instructional designers, educational software developers, higher education faculty, administrators, policymakers, researchers, and graduate students.

This book reports on research and practice on computational thinking and the effect it is having on education worldwide, both inside and outside of formal schooling. With coding becoming a required skill in an increasing number of national curricula (e.g., the United Kingdom, Israel, Estonia, Finland), the ability to think computationally is quickly becoming a primary 21st century “basic” domain of knowledge. The authors of this book investigate how this skill can be taught and its resultant effects on learning throughout a student's education, from elementary school to adult learning.

While the growth of computational thinking has brought new awareness to the importance of computing education, it has also created new challenges. Many educational initiatives focus solely on the programming aspects, such as variables, loops, conditionals, parallelism, operators, and data handling, divorcing computing from real-world contexts and applications. This decontextualization threatens to make learners believe that they do not need to learn computing, as they cannot envision a future in which they will need to use it, just as many see math and physics education as unnecessary. The Handbook of Research on Tools for Teaching Computational Thinking in P-12 Education is a cutting-edge research publication that examines the implementation of computational thinking into school curriculum in order to develop creative problem-solving skills and to build a computational identity which will allow for future STEM growth. Moreover, the book advocates for a new approach to computing education that argues that while learning about computing, young people should also have opportunities to create with computing, which will have a direct impact on their lives and their communities. Featuring a wide range of topics such as assessment, digital teaching, and educational robotics, this book is ideal for academicians, instructional designers, teachers, education professionals, administrators, researchers, and students.

Over the past decade, integrated STEM education research has emerged as an international concern, creating around it an imperative for technological and disciplinary innovation and a global resurgence of interest in teaching and learning to code at the K-16 levels. At the same time, issues of democratization, equity, power and access, including recent decolonizing efforts in public education, are also beginning to be acknowledged as legitimate issues in STEM education. Taking a reflexive approach to the intersection of these concerns, this book presents a collection of papers making new theoretical advances addressing two broad themes: Transdisciplinary Approaches in STEM Education and Bodies, Hegemony and Decolonization in STEM Education. Within each theme, praxis is of central concern including analyses of teaching and learning that re-imagines disciplinary boundaries and domains, the relationship between Art and STEM, and the design of learning technologies, spaces and environments. In addition to graduate research seminars at the Masters and PhD levels in Learning Sciences, Science Education, Educational Technology and STEM education, this book could also serve as a textbook for graduate and pre-service teacher education courses.

The education system is constantly growing and developing as more ways to teach and learn are implemented into the classroom. Recently, there has been a growing interest in teaching computational thinking with schools all over the world introducing it to the curriculum due to its ability to allow students to become proficient at problem solving using logic, an essential life skill. In order to provide the best education possible, it is imperative that computational thinking strategies, along with programming skills and the use of robotics in the classroom, be implemented in order for students to achieve maximum thought processing skills and computer competencies. The Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom is an all-encompassing reference book that discusses how computational thinking, programming, and robotics can be used in education as well as the benefits and difficulties of implementing these elements into the classroom. The book includes strategies for preparing educators to teach computational thinking in the classroom as well as design techniques for incorporating these practices into various levels of school curriculum and within a variety of subjects. Covering topics ranging from decomposition to robot learning, this book is ideal for educators, computer scientists, administrators, academicians, students, and anyone interested in learning more about how computational thinking, programming, and robotics can change the current education system.