| computer and information research scientists education: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| computer and information research scientists education: Computer Science Education Research Sally Fincher, Marian Petre, 2004-01-01 This book provides an overview of how to approach computer science education research from a pragmatic perspective. It represents the diversity of traditions and approaches inherent in this interdisciplinary area, while also providing a structure within which to make sense of that diversity. It provides multiple 'entry points'- to literature, to methods, to topics Part One, 'The Field and the Endeavor', frames the nature and conduct of research in computer science education. Part Two, 'Perspectives and Approaches', provides a number of grounded chapters on particular topics or themes, written by experts in each domain. These chapters cover the following topics: * design * novice misconceptions * programming environments for novices * algorithm visualisation * a schema theory view on learning to program * critical theory as a theoretical approach to computer science education research Juxtaposed and taken together, these chapters indicate just how varied the perspectives and research approaches can be. These chapters, too, act as entry points, with illustrations drawn from published work. |
| computer and information research scientists education: Occupational Outlook Handbook 2014-2015 U.S. Department of Labor, 2014-08-19 Written by the U.S. Department of Labor, the Occupational Outlook Handbook 2014–2015 is designed to provide valuable, up-to-date assistance to individuals making decisions about their futures. Accompanying each profession are descriptions of the nature of the work, work environment, and the required qualifications, training, and education, as well as job earnings, related occupations. The book includes details on more than 250 occupations—that’s 90 percent of the jobs available in the United States. It also includes job search methods and job outlook. Keep up in the scramble to stay afloat in the waning job market by staying informed as you plan your training and career. |
| computer and information research scientists education: Getting Your First Job For Dummies Roberto Angulo, 2017-12-07 Find—and land—your first job! Finding a job can seem daunting, especially when it's a brand new experience. There's a lot to know, and often a lot of pressure. Written by the founder of AfterCollege.com, Getting Your First Job For Dummies is designed to take the stress out of the job search process and help you get an offer. In this book, you'll discover how to identify your talents and strengths, use your network to your advantage, interview with confidence, and evaluate an offer. Written in plain English and packed with step-by-step instructions, it'll have you writing customized resumes, conducting company research, and utilizing online job search sites, faster than you can say 'I got the job!' Determine what kind of job suits your interests and skills Write a compelling cover letter Know what to expect in an interview Effectively negotiate an offer Whether you're still in school or navigating the world as a recent graduate, Getting Your First Job For Dummies arms you with the skills and confidence to make getting your first job an exciting and enjoyable process. |
| computer and information research scientists education: Handbook of Research on Equity in Computer Science in P-16 Education Keengwe, Jared, Tran, Yune, 2020-11-13 The growing trend for high-quality computer science in school curricula has drawn recent attention in classrooms. With an increasingly information-based and global society, computer science education coupled with computational thinking has become an integral part of an experience for all students, given that these foundational concepts and skills intersect cross-disciplinarily with a set of mental competencies that are relevant in their daily lives and work. While many agree that these concepts should be taught in schools, there are systematic inequities that exist to prevent students from accessing related computer science skills. The Handbook of Research on Equity in Computer Science in P-16 Education is a comprehensive reference book that highlights relevant issues, perspectives, and challenges in P-16 environments that relate to the inequities that students face in accessing computer science or computational thinking and examines methods for challenging these inequities in hopes of allowing all students equal opportunities for learning these skills. Additionally, it explores the challenges and policies that are created to limit access and thus reinforce systems of power and privilege. The chapters highlight issues, perspectives, and challenges faced in P-16 environments that include gender and racial imbalances, population of growing computer science teachers who are predominantly white and male, teacher preparation or lack of faculty expertise, professional development programs, and more. It is intended for teacher educators, K-12 teachers, high school counselors, college faculty in the computer science department, school administrators, curriculum and instructional designers, directors of teaching and learning centers, policymakers, researchers, and students. |
| computer and information research scientists education: Careers in Information Science Louise Schultz, 1963 Presents copy for use as a reference brochure and a giveaway sheet to be distributed to guidance counselors to help them direct young people into the growing field of Information Science. Sets forth that Information Science is concerned with the properties, behavior, and flow of information. Describes how it is used, both by individuals and in large systems. Discusses the opportunities in Information Science and outlines three relatively different career areas: (1) Special Librarianship; (2) Literature Analysis; and (3) Information System Design. Details an educational program appropriate for participation in these career areas. Concludes that Information Science is a new but rapidly growing field pushing the frontiers of human knowledge and, thus, contributing to human well-being and progress. (Author). |
| computer and information research scientists education: Networking and Information Technology Research and Development Act of 2009 United States. Congress. House. Committee on Science and Technology (2007), 2009 |
| computer and information research scientists education: Computer Science National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on the Fundamentals of Computer Science: Challenges and Opportunities, 2004-10-06 Computer Science: Reflections on the Field, Reflections from the Field provides a concise characterization of key ideas that lie at the core of computer science (CS) research. The book offers a description of CS research recognizing the richness and diversity of the field. It brings together two dozen essays on diverse aspects of CS research, their motivation and results. By describing in accessible form computer science's intellectual character, and by conveying a sense of its vibrancy through a set of examples, the book aims to prepare readers for what the future might hold and help to inspire CS researchers in its creation. |
| computer and information research scientists education: A Framework for K-12 Science Education National Research Council, Division of Behavioral and Social Sciences and Education, Board on Science Education, Committee on a Conceptual Framework for New K-12 Science Education Standards, 2012-02-28 Science, engineering, and technology permeate nearly every facet of modern life and hold the key to solving many of humanity's most pressing current and future challenges. The United States' position in the global economy is declining, in part because U.S. workers lack fundamental knowledge in these fields. To address the critical issues of U.S. competitiveness and to better prepare the workforce, A Framework for K-12 Science Education proposes a new approach to K-12 science education that will capture students' interest and provide them with the necessary foundational knowledge in the field. A Framework for K-12 Science Education outlines a broad set of expectations for students in science and engineering in grades K-12. These expectations will inform the development of new standards for K-12 science education and, subsequently, revisions to curriculum, instruction, assessment, and professional development for educators. This book identifies three dimensions that convey the core ideas and practices around which science and engineering education in these grades should be built. These three dimensions are: crosscutting concepts that unify the study of science through their common application across science and engineering; scientific and engineering practices; and disciplinary core ideas in the physical sciences, life sciences, and earth and space sciences and for engineering, technology, and the applications of science. The overarching goal is for all high school graduates to have sufficient knowledge of science and engineering to engage in public discussions on science-related issues, be careful consumers of scientific and technical information, and enter the careers of their choice. A Framework for K-12 Science Education is the first step in a process that can inform state-level decisions and achieve a research-grounded basis for improving science instruction and learning across the country. The book will guide standards developers, teachers, curriculum designers, assessment developers, state and district science administrators, and educators who teach science in informal environments. |
| computer and information research scientists education: Research in Education , 1971 |
| computer and information research scientists education: Computer Architecture for Scientists Andrew A. Chien, 2022-03-10 The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications. |
| computer and information research scientists education: Education and the American Workforce Deirdre A. Gaquin, Mary Meghan Ryan, 2017-12-20 In a time of changing technology and cultural shifts, it is difficult to measure some aspects of the workforce. Education and the American Workforce brings together a comprehensive collection of employment and education information from federal statistical agencies. This publicationis a compilation of data about employment and education from federal statistical agencies. The Census Bureau is the leading source of quality data about the nation’s people and economy. The Bureau of Labor Statistics (BLS) is the principal federal agency responsible for measuring labor market activity, working conditions, and price changes in the economy. Together, these agencies produce a wealth of information about the American workforce. Education and the American Workforce includes information about the jobs that people hold—the occupations that they pursue and the industries where they work—and the education levels that people have attained. The geographic location of jobs is important. People often move to locations where jobs are plentiful, moving away from areas where jobs have decreased as technology and trends have changed. The education level of a local population can have an impact on the type of jobs available, with employers establishing businesses where they expect to find employees with appropriate educational credentials. This book uses the American Community Survey (ACS) to provide data on jobs and education in states, metropolitan areas, counties, cities, and congressional districts. The local area detail is necessarily less specific than the national data but the occupation categories use the same SOC categorization, grouped to protect the respondents’ privacy. These sections include ACS data about the labor force, educational attainment, and field of degree, often by age, gender, race, and Hispanic origin. Also included are some personal and household characteristics that are relevant to employment and education, such as health insurance and computer access. Some examples of interesting data found inside Education and the American Workforce include: With no formal educational requirement and a median salary of $22,680, 4.5 million people are employed as retail salespersons, the most of any single occupation. Cashiers and food preparation/serving workers account for another 3.5 million each. There are 2.9 million registered nurses, the most numerous of occupations that require a bachelor’s degree. The biggest numeric decline is expected for Postal Service mail carriers, dropping by about 78,000 in ten years. When combined with other Postal Service occupations—such as clerks, sorters, postmasters, and others—a decline of 140,000 jobs is expected for the Postal Service. Among the 75 largest counties, Bronx County, NY had the highest number of residents age 25 and over with less than a high school diploma at 29.4 percent while Montgomery County, PA had the lowest percentage at 6.2 percent. Meanwhile, New York County, NY and Fairfax County, VA had the highest percentage of residents with a bachelor’s degree or higher at 59.9 percent followed by Montgomery County, MD at 57.9 percent among the 75 largest counties. Nationally, between 2011 and 2015, 29.8 percent of the population had a bachelor’s degree or higher. |
| computer and information research scientists education: HT THINK LIKE A COMPUTER SCIEN Jeffrey Elkner, Allen B. Downey, Chris Meyers, 2016-10-04 The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called, The way of the program. On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer. |
| computer and information research scientists education: Computers and the World of the Future Martin Greenberger, Massachusetts Institute of Technology. School of Industrial Management, 1964 Writers including Vannevar Bush and Herbert A. Simon discuss the impact of the computer in its first twenty years. Writers discuss the extraordinary growth of the computer in its first twenty years and its use in fields as diverse as medicine and economics, management and physics. Employed in areas once thought to be exclusively the province of the human mind, the computer rendered profound changes in the traditional ways and means of decision making. Contributors C.P. Snow, Walter A. Rosenblith, Norbert Wiener, Vannevar Bush, Herbert A. Simon, Howard W. Johnson, Marvin L. Minsky, Peter Elias, J. C. R. Licklider, Elting E. Morison, Philip M. Morse, Jay W. Forrester, Grace M. Hopper, Alan J. Perlis, John R. Pierce, Robert C. Sprague, Claude E. Shannon, Charles C. Holt, John G. Kemeny, Donald J. Marquis, Gene M. Amdahl, Sidney S. Alexander, Robert M. Fano, and others |
| computer and information research scientists education: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| computer and information research scientists education: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-11-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| computer and information research scientists education: Occupational Outlook Quarterly , 2010 |
| computer and information research scientists education: Encyclopedia of Information Science and Technology Mehdi Khosrow-Pour, Mehdi Khosrowpour, 2009 This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology--Provided by publisher. |
| computer and information research scientists education: Emerging Research, Practice, and Policy on Computational Thinking Peter J. Rich, Charles B. Hodges, 2017-04-24 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. |
| computer and information research scientists education: Handbook of Research on Technoethics Luppicini, Rocci, Adell, Rebecca, 2008-08-31 This book traces the emergence of the new interdisciplinary field of technoethics by exploring its conceptual development, important issues, and key areas of current research. Compiling 50 authoritative articles from leading researchers on the ethical dimensions of new technologies--Provided by publisher. |
| computer and information research scientists education: Web Services: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2018-12-07 Web service technologies are redefining the way that large and small companies are doing business and exchanging information. Due to the critical need for furthering automation, engagement, and efficiency, systems and workflows are becoming increasingly more web-based. Web Services: Concepts, Methodologies, Tools, and Applications is an innovative reference source that examines relevant theoretical frameworks, current practice guidelines, industry standards and standardization, and the latest empirical research findings in web services. Highlighting a range of topics such as cloud computing, quality of service, and semantic web, this multi-volume book is designed for computer engineers, IT specialists, software designers, professionals, researchers, and upper-level students interested in web services architecture, frameworks, and security. |
| computer and information research scientists education: Occupational Outlook Handbook , 2000 |
| computer and information research scientists education: Resources in Education , 1998 |
| computer and information research scientists education: Scientific Data Analysis with R Azizur Rahman, Faruq Abdulla, Md. Moyazzem Hossain, 2024-11-28 In an era marked by exponential growth in data generation and an unprecedented convergence of technology and healthcare, the intersection of biostatistics and data science has become a pivotal domain. This book is the ideal companion in navigating the convergence of statistical methodologies and data science techniques with diverse applications implemented in the open-source environment of R. It is designed to be a comprehensive guide, marrying the principles of biostatistics with the practical implementation of statistics and data science in R, thereby empowering learners, researchers, and practitioners with the tools necessary to extract meaningful knowledge from biological, health, and medical datasets. This book is intended for students, researchers, and professionals eager to harness the combined power of biostatistics, data science, and the R programming language while gathering vital statistical knowledge needed for cutting-edge scientists in all fields. It is useful for those seeking to understand the basics of data science and statistical analysis, or looking to enhance their skills in handling any simple or complex data including biological, health, medical, and industry data. Key Features: Presents contemporary concepts of data science and biostatistics with real-life data analysis examples Promotes the evolution of fundamental and advanced methods applying to real-life problem-solving cases Explores computational statistical data science techniques from initial conception to recent developments of biostatistics Provides all R codes and real-world datasets to practice and competently apply into reader’s own domains Written in an exclusive state-of-the-art deductive approach without any theoretical hitches to support all contemporary readers |
| computer and information research scientists education: Examining Multiple Intelligences and Digital Technologies for Enhanced Learning Opportunities Zheng, Robert Z., 2019-09-27 Multiple intelligences (MI) as a cognitive psychology theory has significantly influenced learning and teaching. Research has demonstrated a strong association between individual intelligences and their cognitive processes and behaviors. However, it remains unknown how each of or a combination of these intelligences can be effectively optimized through instructional intervention, particularly through the use of emerging learning technology. On the other hand, while efforts have been made to unveil the relationship between information and communication technology (ICT) and individual learner performance, there is a lack of knowledge in how MI theory may guide the use of ICTs to enhance learning opportunities for students. Examining Multiple Intelligences and Digital Technologies for Enhanced Learning Opportunities is an essential reference book that generates new knowledge about how ICTs can be utilized to promote MI in various formal and informal learning settings. Featuring a range of topics such as augmented reality, learning analytics, and mobile learning, this book is ideal for teachers, instructional designers, curriculum developers, ICT specialists, educational professionals, administrators, instructors, academicians, and researchers. |
| computer and information research scientists education: Integrating Digital Technology in Education R. Martin Reardon, Jack Leonard, 2019-05-01 This fourth volume in the Current Perspectives on School/University/Community Research series brings together the perspectives of authors who are deeply committed to the integration of digital technology with teaching and learning. Authors were invited to discuss either a completed project, a work-in-progress, or a theoretical approach which aligned with one of the trends highlighted by the New Media Consortium’s NMC/CoSN Horizon Report: 2017 K-12 Edition, or to consider how the confluence of interest and action (Thompson, Martinez, Clinton, & Díaz, 2017) among school-university-community collaborative partners in the digital technology in education space resulted in improved outcomes for all—where “all” is broadly conceived and consists of the primary beneficiaries (the students) as well as the providers of the educational opportunities and various subsets of the community in which the integrative endeavors are enacted. The chapters in this volume are grouped into four sections: Section 1 includes two chapters that focus on computational thinking/coding in the arts (music and visual arts); Section 2 includes three chapters that focus on the instructor in the classroom, preservice teacher preparation, and pedagogy; Section 3 includes four chapters that focus on building the academic proficiency of students; and Section 4 includes two chapters that focus on the design and benefits of school-university-community collaboration. |
| computer and information research scientists education: The Budget of the United States Government United States, 1972 |
| computer and information research scientists education: Redesigning the Future of Education in the Light of New Theories, Teaching Methods, Learning, and Research ?enol Orakc?, 2024-04-01 Learning used to be confined to a physical place. Now, it’s no longer limited by walls or daylight or location. Learning happens in spaces that transcend these boundaries. These spaces can still have physical elements, but they are no longer defined by a physical footprint and constrained by the limitations of time, space, and matter. Learning can now take place on any device, in any place, and at any time. 21st century skills are one of the concepts we use most frequently when talking about innovative education. We see that the skills, referred to as 21st century skills, include cognitive skills such as creative thinking, problem solving, as well as many different social and emotional skills such as understanding, expressing, empathy and teamwork. Many educators now agree that not only academic knowledge is sufficient, but social-emotional skills play a role as much as academic knowledge in a person's success and happiness. Another accepted fact is the phenomenon of lifelong learning: the fact that education does not start at school but does not end at school, in fact, it is a process that should continue throughout life. While accepting all this, a subject that is not discussed much; how this holistic, lifelong learning is possible in a class in the form of 40 minutes lessons and 10 minutes of break. While we are designing various kinds of education programs for children to gain all these different skill sets in the classroom, do not we actually keep these skills in the easiest way, practically away from the environments they will acquire? In John Dewey's book, “Experience and Education” (1938), information obtained as detached from real life is depicted as wasted time and effort. Most teachers are already aware of this situation. For this reason, they try to explain math problems and literacy by linking them to children's experiences and lives as much as possible, and they do many big and small experiments in social sciences and science lessons. Can't we go one step further than this? Can't we make learning in life a part of our education system, instead of preparing small examples of real life for children? With many justified concerns such as assessment, security, teachers' pedagogical infrastructure, we miss out on the most important opportunities for education just because they are outside the walls of the school? This book aims to open new horizons in the journey of learning beyond the school walls in the world and contribute to the spread of learning in our society. In societies where constant change is the norm, schools today must prepare students to be successful in environments and contexts that may differ greatly from what we experience today. But, are we really thinking about the future? With contributions from seven continents, this book will reveal a ‘snapshot’ of some of our best thinking for building new education futures. Diverse experiences, visions, and ideas are shared to help spark new thinking among educators and policymakers, provoke conversation, and facilitate new ideas for meeting human development needs in a rapidly transforming world. |
| computer and information research scientists education: Deep Learning in Visual Computing and Signal Processing Krishna Kant Singh, Vibhav Kumar Sachan, Akansha Singh, Sanjeevikumar Padmanaban, 2022-10-20 Covers both the fundamentals and the latest concepts in deep learning Presents some of the diverse applications of deep learning in visual computing and signal processing Includes over 90 figures and tables to elucidate the text |
| computer and information research scientists education: Bulletin , 1979 |
| computer and information research scientists education: Setting a New Agenda for Student Engagement and Retention in Historically Black Colleges and Universities Prince, Charles B. W., Ford, Rochelle L., 2016-06-27 As more Americans are attending college, historically black colleges and universities (HBCUs) are now in a position where they must directly compete with other institutions. While other colleges and universities might have more resources and stronger infrastructures, HBCUs provide better opportunities to meet the needs of students of color. Setting a New Agenda for Student Engagement and Retention in Historically Black Colleges and Universities explores the innovations that HBCUs can enact to better serve and prepare the next generation of African American leaders, and to be more competitive in the higher education landscape. As students need different forms of support throughout their academic career, it becomes necessary to engage them through mentorship, programming, and classroom management. This book is a valuable resource for educators and administration at HBCUs, sociologists, policy makers, and students studying education science and administration. |
| computer and information research scientists education: Don't Knock the Hustle S. Craig Watkins, 2019-05-07 Offers a timely analysis of the sheer ingenuity and persistence of young people who cobble together the resources they need to pursue the lives and careers they want. Young adults are coming of age at a time when work is temporary, underpaid, incommensurate with their education, or downright unsatisfying. Despite these challenges, media scholar S. Craig Watkins argues that this moment of precarity is rife with opportunities for innovation, and that young adults are leading the charge in turning that into an inventive and surprisingly sustainable future. As a result, society is expanding its understanding of who we think of as innovators and what qualifies as innovation, while wealth is spreading beyond traditional corridors of powerful tech companies, venture capitalism, and well-endowed universities. Drawing on over ten years of interviews and data, Watkins reveals the radical ways in which this community of ambitious young creatives is transforming businesses from the outside in. Diverse perspectives that are often ignored or silenced by major corporations are garnering public attention as women and people of color are redefining industries across the globe—all from their computer screens. We meet people like Prince Harvey, a New York–based hip-hop artist who recorded his album entirely on an Apple showroom laptop; screenwriter, producer, and actor Issa Rae, who first used YouTube and Kickstarter to develop the web series that became her hit HBO show Insecure; the Empowerment Plan, a nonprofit organization created by product design student Veronika Scott in Detroit; and start-up companies like Qeyno Group in San Francisco and Juegos Rancheros in Austin that help make tech more accessible to people of color. Forward-thinking and dynamic, Don’t Knock the Hustle shows the diversity and complexity of a generation on the rise. UNIQUE APPROACH TO UNDERSTANDING MILLENNIALS that looks beyond stereotypes about their relationships with tech and labor, based on two years of MacArthur Grant–funded research. DIVERSE AUDIENCE APPEAL that will reach millennials, educators, people seeking to hire millennials, and scholars of technology, media, and labor. |
| computer and information research scientists education: Women in Information Technology Shaina Indovino, 2014-09-02 Women have made major contributions to science throughout history, including in the field of information technology. Learn about the lives of some of the most amazing women in information technology, from Augusta Ada King to Radia Perlman, as well as their exciting and important work. Discover what it takes to work in information technology. Find out about the opportunities women in the field have today. Read Women in Information Technology to see if following in the footsteps of the many brilliant women who have made their mark in IT is something you want to do. |
| computer and information research scientists education: Emerging Technologies in Computing Mahdi H. Miraz, Peter S. Excell, Andrew Ware, Safeeullah Soomro, Maaruf Ali, 2020-09-28 This book constitutes the refereed conference proceedings of the Third International Conference on Emerging Technologies in Computing, iCEtiC 2020, held in London, UK, in August 2020. Due to VOVID-19 pandemic the conference was helt virtually.The 25 revised full papers were reviewed and selected from 65 submissions and are organized in topical sections covering blockchain and cloud computing; security, wireless sensor networks and IoT; AI, big data and data analytics; emerging technologies in engineering, education and sustainable development. |
| computer and information research scientists education: Standard Occupational Classification Manual United States. Office of Federal Statistical Policy and Standards, 2010 |
| computer and information research scientists education: Data Visualization and Statistical Literacy for Open and Big Data Prodromou, Theodosia, 2017-03-20 Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations. Data Visualization and Statistical Literacy for Open and Big Data highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis. |
| computer and information research scientists education: Educational Media and Technology Yearbook Michael Orey, Robert Maribe Branch, 2016-12-13 The Educational Media and Technology Yearbook has become a standard reference in many libraries and professional collections. It provides a valuable historical record of current ideas and developments in the field. Part one of this updated volume, “Trends and Issues in Learning, Design and Technology,” presents an array of chapters that develop some of the current themes listed above, in addition to others. In Part Two, “Leadership Profiles,” authors provide biographical sketches of the careers of instructional technology leaders. Part Three, “Organizations and Associations in North America,” and Part Four, “Worldwide List of Graduate Programs in Learning, Design, Technology, Information or Libraries,” are, respectively, directories of instructional technology-related organizations and institutions of higher learning offering degrees in related fields. Finally, Part Five, the “Mediagraphy,” presents an annotated listing of selected current publications related to the field. |
| computer and information research scientists education: Gender Linda L. Lindsey, 2020-12-17 A landmark publication in the social sciences, Linda Lindsey’s Gender is the most comprehensive textbook to explore gender sociologically, as a critical and fundamental dimension of a person’s identity, interactions, development, and role and status in society. Ranging in scope from the everyday lived experiences of individuals to the complex patterns and structures of gender that are produced by institutions in our global society, the book reveals how understandings of gender vary across time and place and shift along the intersecting lines of race, ethnicity, culture, sexuality, class and religion. Arriving at a time of enormous social change, the new, seventh edition extends its rigorous, theoretical approach to reflect on recent events and issues with insights that challenge conventional thought about the gender binary and the stereotypes that result. Recent and emerging topics that are investigated include the #MeToo and LGBTQ-rights movements, political misogyny in the Trump era, norms of masculinity, marriage and family formation, resurgent feminist activism and praxis, the gendered workplace, and profound consequences of neoliberal globalization. Enriching its sociological approach with interdisciplinary insight from feminist, biological, psychological, historical, and anthropological perspectives, the new edition of Gender provides a balanced and broad approach with readable, dynamic content that furthers student understanding, both of the importance of gender and how it shapes individual trajectories and social processes in the U.S. and across the globe. |
| computer and information research scientists education: Science Education and Information Transfer C. A. Taylor, 2013-10-22 Science Education and Information Transfer reviews developments in the areas of science education and information transfer. Topics covered include the use of games in science and technology education, transfer of information using readily available technology, and networking. The concepts of global learning and distance learning are also discussed, along with the use of video techniques and computer technology to transfer information. This volume is comprised of 10 chapters and begins with an overview of the information society, the usability of information, and the efficiency of information transfer. The discussion then turns to the use of games to teach science and technology; the most readily available technology for transferring information from teachers to students; and networking as a means to transfer information. The following chapters explore the concept and practice of global learning in the perspective of dissemination of scientific and technological knowledge in response to human needs; the use of microcomputers in the teaching of science; and some of the features of distance learning. The final chapter is devoted to teaching information technology in the classroom. This monograph will be of interest to planners, practitioners, researchers, and other professionals in the field of science education and information technology. |
| computer and information research scientists education: Privacy Act Issuances ... Compilation United States. Office of the Federal Register, 1984 Contains systems of records maintained on individuals by Federal agencies which were published in the Federal Register and rules of each agency concerning the procedures the agency will use in helping individuals who request information about their records. |
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
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What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
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What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
Micro Center - Computer & Electronics Retailer - Shop Now
Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top deals, and expert same-day tech support.
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
