This This book is open access under a CC BY 4.0 license.This book offers a comprehensive guide, covering every important aspect of computational thinking education. It provides an in-depth discussion of computational thinking, including the notion of perceiving computational thinking practices as ways of mapping models from the abstraction of data and process structures to natural phenomena. Further, it explores how computational thinking education is implemented in different regions, and how computational thinking is being integrated into subject learning in K-12 education. In closing, it discusses computational thinking from the perspective of STEM education, the use of video games to teach computational thinking, and how computational thinking is helping to transform the quality of the workforce in the textile and apparel industry.

At a time when scientific and technological competence is vital to the nation's future, the weak performance of U.S. students in science reflects the uneven quality of current science education. Although young children come to school with innate curiosity and intuitive ideas about the world around them, science classes rarely tap this potential. Many experts have called for a new approach to science education, based on recent and ongoing research on teaching and learning. In this approach, simulations and games could play a significant role by addressing many goals and mechanisms for learning science: the motivation to learn science, conceptual understanding, science process skills, understanding of the nature of science, scientific discourse and argumentation, and identification with science and science learning. To explore this potential, Learning Science: Computer Games, Simulations, and Education, reviews the available research on learning science through interaction with digital simulations and games. It considers the potential of digital games and simulations to contribute to learning science in schools, in informal out-of-school settings, and everyday life. The book also identifies the areas in which more research and research-based development is needed to fully capitalize on this potential. Learning Science will guide academic researchers; developers, publishers, and entrepreneurs from the digital simulation and gaming community; and education practitioners and policy makers toward the formation of research and development partnerships that will facilitate rich intellectual collaboration. Industry, government agencies and foundations will play a significant role through start-up and ongoing support to ensure that digital games and simulations will not only excite and entertain, but also motivate and educate.

In 2008, the Computer and Information Science and Engineering Directorate of the National Science Foundation asked the National Research Council (NRC) to conduct two workshops to explore the nature of computational thinking and its cognitive and educational implications. The first workshop focused on the scope and nature of computational thinking and on articulating what "computational thinking for everyone" might mean. A report of that workshop was released in January 2010. Drawing in part on the proceedings of that workshop, Report of a Workshop of Pedagogical Aspects of Computational Thinking, summarizes the second workshop, which was held February 4-5, 2010, in Washington, D.C., and focuses on pedagogical considerations for computational thinking. This workshop was structured to gather pedagogical inputs and insights from educators who have addressed computational thinking in their work with K-12 teachers and students. It illuminates different approaches to computational thinking and explores lessons learned and best practices. Individuals with a broad range of perspectives contributed to this report. Since the workshop was not intended to result in a consensus regarding the scope and nature of computational thinking, Report of a Workshop of Pedagogical Aspects of Computational Thinking does not contain findings or recommendations.

In every era, global progressive thinkers have used creativity as a means for cultural reformation and social justice in response to oppressive regimes. For example, theater, cartoons, social art, film, and other forms of representative arts have always been used as critical instigation to create agency or critical commentary on current affairs. In the education sector, teachers in schools often say one of two things: they are not creative or that they don't have the time to be creative given the curricular demands and administrative mandates that they are required to follow. Each day, educators are working to find exceptionally creative ways to engage their students with limited resources and supplies, and this becomes even more of a challenge during turbulent times. Creativity as Progressive Pedagogy: Examinations Into Culture, Performance, and Challenges primarily focuses on pedagogical creativity and culture as related to various aspects of social justice and identity. This book presents experience-based content and showcases the necessity for pedagogical creativity to give students agency and the connections between cultural sensitivity and creativity. Covering topics such as the social capital gap, digital spaces, and underprivileged students, this book is an indispensable resource for educators in both K-12 and higher education, administrators, researchers, faculty, policymakers, leaders in education, pre-service teachers, and academicians.

This book contains the revised selected, refereed papers from the IFIP World Conference on Computers in Education on Towards a Collaborative Society through Creative Learning, WCCE 2022, Hiroshima, Japan, August 20-24, 2022. A total of 61 papers (54 full papers and 7 short papers) were carefully reviewed and selected from 131 submissions. They were organized in topical sections as follows: ​ Digital Education and Computing in Schools, Digital Education and Computing in Higher Education, National Policies and Plans for Digital Competence.

With increasingly interconnected educational and employment ecosystems, credential innovations are trailblazing multiple pathways to professions at a pivotal moment of rapid change. In the current state of credential proliferation, the quest for simultaneous improvement of quality and value reflects heightened cross-sector interests, while at the same time the quest for concurrent enhancement of access and success remains. With the evolving educational models, technologies, and organizations, credential innovations will continue to serve as powerful catalysts in realizing the great promise for inclusive pathways to professions. The Handbook of Research on Credential Innovations for Inclusive Pathways to Professions surveys the state of credential innovations, examines trends and issues, and explores models and strategies with case studies across sectors and disciplines. The 21 chapters are organized in three sections. Section I, Credential Innovations Amid Evolving Ecosystems, features a powerful array of change theories-in-action with topics ranging from conceptual re-visioning to organizational restructuring and programmatic reengineering within evolving ecosystems. Section II, Credential Innovations and Propositions Across Sectors, spotlights diverse approaches to and propositions of credentials within complex socio-economic landscapes across education, business, and technology industries. Section III, Credential Innovation Models and Strategies, showcases institutional innovations ranging from model developments, pedagogical approaches, and personalized engagements to outcome measurements and strategies for sustainable implementation. Lessons learned and implications are explored to share promising practices, inform current development, and influence future policies toward inclusive excellence in education and the workplace.

Computing in some form touches nearly every aspect of day to day life and is reflected in the ubiquitous use of cell phones, the expansion of automation into many industries, and the vast amounts of data that are routinely gathered about people's health, education, and buying habits. Computing is now a part of nearly every occupation, not only those in the technology industry. Given the ubiquity of computing in both personal and professional life, there are increasing calls for all learners to participate in learning experiences related to computing including more formal experiences offered in schools, opportunities in youth development programs and after-school clubs, or self-initiated hands-on experiences at home. At the same time, the lack of diversity in the computing workforce and in programs that engage learners in computing is well-documented. It is important to consider how to increase access and design experiences for a wide range of learners. Authentic experiences in STEM - that is, experiences that reflect professional practice and also connect learners to real-world problems that they care about - are one possible approach for reaching a broader range of learners. These experiences can be designed for learners of all ages and implemented in a wide range of settings. However, the role they play in developing youths' interests, capacities, and productive learning identities for computing is unclear. There is a need to better understand the role of authentic STEM experiences in supporting the development of interests, competencies, and skills related to computing. Cultivating Interest and Competencies in Computing examines the evidence on learning and teaching using authentic, open-ended pedagogical approaches and learning experiences for children and youth in grades K-12 in both formal and informal settings. This report gives particular attention to approaches and experiences that promote the success of children and youth from groups that are typically underrepresented in computing fields. Cultivating Interest and Competencies in Computing provides guidance for educators and facilitators, program designers, and other key stakeholders on how to support learners as they engage in authentic learning experiences.

School readiness is as much about schools recognizing the existing capabilities and knowledge each child has when they enter school as it is about supporting children and families in their preparation for entering formal learning environments. Effective approaches that address learning variability must take these differences into account, recognizing and leveraging opportunities inherent in the child’s ecosystem of resources. The Handbook of Research on Innovative Approaches to Early Childhood Development and School Readiness assembles the most current research and thought-leadership on the ways in which innovative education stakeholders are working together to impact the most critical years in a child’s life—the years leading up to and including kindergarten. Covering topics such as change agency, experience quality, and social-emotional development, this book is a crucial resource for educational researchers, child development professionals, school administrators, pre-K teachers, pre-service teachers, program managers, policymakers, non-profit service organizations, early childhood EdTech developers, curriculum developers, and academicians.

Improving Equity in Data Science offers a comprehensive look at the ways in which data science can be conceptualized and engaged more equitably within the K-16 classroom setting, moving beyond merely broadening participation in educational opportunities. This book makes the case for field wide definitions, literacies and practices for data science teaching and learning that can be commonly discussed and used, and provides examples from research of these practices and literacies in action. Authors share stories and examples of research wherein data science advances equity and empowerment through the critical examination of social, educational, and political topics. In the first half of the book, readers will learn how data science can deliberately be embedded within K-12 spaces to empower students to use it to identify and address inequity. The latter half will focus on equity of access to data science learning opportunities in higher education, with a final synthesis of lessons learned and presentation of a 360-degree framework that links access, curriculum, and pedagogy as multiple facets collectively essential to comprehensive data science equity work. Practitioners and teacher educators will be able to answer the question, “how can data science serve to move equity efforts in computing beyond basic inclusion to empowerment?” whether the goal is to simply improve definitions and approaches to research on data science or support teachers of data science in creating more equitable and inclusive environments within their classrooms.

More and more young people are learning about science, technology, engineering, and mathematics (STEM) in a wide variety of afterschool, summer, and informal programs. At the same time, there has been increasing awareness of the value of such programs in sparking, sustaining, and extending interest in and understanding of STEM. To help policy makers, funders and education leaders in both school and out-of-school settings make informed decisions about how to best leverage the educational and learning resources in their community, this report identifies features of productive STEM programs in out-of-school settings. Identifying and Supporting Productive STEM Programs in Out-of-School Settings draws from a wide range of research traditions to illustrate that interest in STEM and deep STEM learning develop across time and settings. The report provides guidance on how to evaluate and sustain programs. This report is a resource for local, state, and federal policy makers seeking to broaden access to multiple, high-quality STEM learning opportunities in their community.