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Gender Differences in Computer and Information Literacy: An In-depth Analysis of Data from ICILS (IEA Research for Education #8)
by John Ainley Eveline Gebhardt Sue Thomson Kylie HillmanThis open access book presents a systematic investigation into internationally comparable data gathered in ICILS 2013. It identifies differences in female and male students’ use of, perceptions about, and proficiency in using computer technologies. Teachers’ use of computers, and their perceptions regarding the benefits of computer use in education, are also analyzed by gender. When computer technology was first introduced in schools, there was a prevailing belief that information and communication technologies were ‘boys’ toys’; boys were assumed to have more positive attitudes toward using computer technologies. As computer technologies have become more established throughout societies, gender gaps in students’ computer and information literacy appear to be closing, although studies into gender differences remain sparse. The IEA’s International Computer and Information Literacy Study (ICILS) is designed to discover how well students are prepared for study, work, and life in the digital age. Despite popular beliefs, a critical finding of ICILS 2013 was that internationally girls tended to score more highly than boys, so why are girls still not entering technology-based careers to the same extent as boys? Readers will learn how male and female students differ in their computer literacy (both general and specialized) and use of computer technology, and how the perceptions held about those technologies vary by gender.
Gender Reboot: Reprogramming Gender Rights in the Age of AI
by Eleonore Fournier-TombsThis book explores gender norms and women’s rights in the age of AI. The author examines how gender dynamics have evolved in the spheres of work, self-image and safety, and education, and how these might be reflected in current challenges in AI development. The book also explores opportunities in AI to address issues facing women, and how we might harness current technological developments for gender equality. Taking a narrative tone, the book is interwoven with stories and a reflection on the raising young children during the COVID-19 pandemic. It includes both expert and personal interviews to create a nuanced and multidimensional perspective on the state of women’s rights and what might be done to move forward.
Gender and Distance Education: Indian and International Contexts
by Anu AnejaThis book investigates the intersection of gender and distance education from a feminist perspective and explores their contemporary innovative interfaces in Indian and international contexts. The key issues raised here include a re- investigation of the democratizing potential of distance education from a gendered perspective (especially in developing countries such as India), feminist pedagogical perspectives on the notion of transactional distance, the relationship between masculinity and gerontology from the perspective of non- traditional modes, and the interrelationships between gender and social media from a distance education perspective. As opposed to the conventional, physical classroom, the virtual classroom often occupies a de- privileged space in feminist pedagogical discussions, since it appears to align itself less easily with feminist praxes which encourage a free, intellectual exchange between teachers and students. By opening up various facets of the relationship between gender, distance education and feminist pedagogy, the book foregrounds the critical need to re- visit preconceived, unfavourable assumptions about this relationship and proposes mutually productive inter-linkages. It does so in the context of contemporary circumstances defined by the increasing use of virtual technology, the ongoing need for democratization of higher education and the constraints posed by consumerist trends. Lucid and topical, this Focus volume will be useful to scholars and researchers of higher education, open and distance education, feminist pedagogy, gender studies, feminism, masculinity, and women’s studies as well as practitioners and policymakers working in the education sector.
Gender and Lifelong Learning: Critical Feminist Engagements
by Becky Francis Carole LeathwoodThis insightful book is ideal for students, researchers and policy makers wanting a sound overview of the critical issues of gender in lifelong learning. Asking pertinent questions relating to discourses on policy, the authors offer the reader a rare view of lifelong learning from a gender-focused perspective, filling a gap in the literature and moving current debate on into new areas. Questions addressed include: To what extent can the policy discourses and institutional contexts of lifelong learning be seen as masculinised and/or feminised? What are the gender implications of lifelong learning policy? In what ways are learners’ identities constructed through lifelong learning? Does lifelong learning provide opportunities to challenge or transgress gender binaries? What are the implications for practice?
Gender and Technology at Work: From Workplace Studies to Social Justice in Design
by Ellen Balka Ina Wagner Anne Weibert Volker WulfThis book brings together the vast research literature about gender and technology to help designers understand what a gender perspective and a focus on intersectionality can contribute to designing information technology systems and artifacts, and to assist organizations as they work to develop work cultures that are supportive of women and marginalized genders and people. Drawing on empirical and analytical studies of women's work and technology in many parts of the world, the book addresses how to make invisible aspects of work visible; how to recognize women's skills without falling into the trap of gender stereotyping; how to engage in improving working conditions; and how to defend care of life situations and needs against a managerial logic. It addresses challenges for design, including many overlooked and undervalued aspects, such as the complexities involved in human–machine interactions, as well as the need to create safe spaces for research subjects.
Gender in AI and Robotics: The Gender Challenges from an Interdisciplinary Perspective (Intelligent Systems Reference Library #235)
by Jordi VallverdúWhy AI does not include gender in its agenda? The role of gender in AI, both as part of the community of agents creating such technologies, as well as part of the contents processed by such technologies is, by far, conflictive. Women have been, again, obliterated by this fundamental revolution of our century. Highly innovative and the first step in a series of future studies in this field, this book covers several voices, topics, and perspectives that allow the reader to understand the necessity to include into the AI research agenda such points of view and also to attract more women to this field. The multi-disciplinarity of the contributors, which uses plain language to show the current situation in this field, is a fundamental aspect of the value of this book. Any reader with a genuine interest in the present and future of AI should read it.
Gender, Age, and Digital Games in the Domestic Context (Routledge Advances in Game Studies)
by Alison HarveyWestern digital game play has shifted in important ways over the last decade, with a plethora of personal devices affording a range of increasingly diverse play experiences. Despite the celebration of a more inclusive environment of digital game play, very little grounded research has been devoted to the examination of familial play and the domestication of digital games, as opposed to evolving public and educational contexts. This book is the first study to provide a situated investigation of the site of family play— the shared spaces and private places of gameplay within the domestic sphere. It carries out an empirically grounded and critical analysis of what marketing and sales discourses about shifts in the digital games audience actually look like in the space of the home, as well as the social and cultural role these ludic technologies take in the everyday practices of the family in the domestic context. It examines the material realities of video game technologies in the home; including time management and spatial organization, as well as the discursive role these devices play in discussions of technological competence and its complex relationship to age, generational differences, and gender performance. Harvey’s interdisciplinary approach and innovative methodology will hold great critical appeal for those studying digital culture, children’s media, and feminist studies of new media, as well as critical theories of technology and leisure and sport theory.
Gene Expression Analysis: Methods and Protocols (Methods in Molecular Biology #2880)
by Nalini Raghavachari Natalia Garcia-ReyeroThis second edition volume expands on the previous edition with updates on the latest methodologies in the transcriptomics field. The chapters in this book cover topics such as spatial omics, long-read sequencing technology, tissue microarrays, analysis of saliva and extracellular vesicles, machine learning and artificial intelligence-based approaches for analysis of singe cells transcriptome, and large sets of data on multi-omics including transcriptomics. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and practical, Gene Expression Analysis: Methods and Protocols, Second Edition is a valuable resource for advanced undergraduate and graduate students studying gene expression analysis, and scientists interested in learning more about this rapidly advancing field.
Gene Expression Data Analysis: A Statistical and Machine Learning Perspective
by Dhruba Kumar Bhattacharyya Jugal Kumar Kalita Pankaj BarahDevelopment of high-throughput technologies in molecular biology during the last two decades has contributed to the production of tremendous amounts of data. Microarray and RNA sequencing are two such widely used high-throughput technologies for simultaneously monitoring the expression patterns of thousands of genes. Data produced from such experiments are voluminous (both in dimensionality and numbers of instances) and evolving in nature. Analysis of huge amounts of data toward the identification of interesting patterns that are relevant for a given biological question requires high-performance computational infrastructure as well as efficient machine learning algorithms. Cross-communication of ideas between biologists and computer scientists remains a big challenge. Gene Expression Data Analysis: A Statistical and Machine Learning Perspective has been written with a multidisciplinary audience in mind. The book discusses gene expression data analysis from molecular biology, machine learning, and statistical perspectives. Readers will be able to acquire both theoretical and practical knowledge of methods for identifying novel patterns of high biological significance. To measure the effectiveness of such algorithms, we discuss statistical and biological performance metrics that can be used in real life or in a simulated environment. This book discusses a large number of benchmark algorithms, tools, systems, and repositories that are commonly used in analyzing gene expression data and validating results. This book will benefit students, researchers, and practitioners in biology, medicine, and computer science by enabling them to acquire in-depth knowledge in statistical and machine-learning-based methods for analyzing gene expression data. Key Features: An introduction to the Central Dogma of molecular biology and information flow in biological systems A systematic overview of the methods for generating gene expression data Background knowledge on statistical modeling and machine learning techniques Detailed methodology of analyzing gene expression data with an example case study Clustering methods for finding co-expression patterns from microarray, bulkRNA, and scRNA data A large number of practical tools, systems, and repositories that are useful for computational biologists to create, analyze, and validate biologically relevant gene expression patterns Suitable for multidisciplinary researchers and practitioners in computer science and biological sciences
Gene Network Inference
by Alberto FuenteThis book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e. g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians.
General Aspects of Applying Generative AI in Higher Education: Opportunities and Challenges
by Antonio Bucchiarone Yassine Maleh Mohamed Lahby Satu Elisa SchaefferThis book explores the transformative impact of generative artificial intelligence (GenAI) on teaching and learning, examining how recent advancements in GenAI are revolutionizing educational practices across disciplines. The book is organized into three parts: an overview of GenAI in education, its application in diverse educational contexts, and future perspectives on how educators and GenAI can interface. The first part addresses the pressing concerns within the educational landscape, both the bridges GenAI allows us to build and the remaining as well as the emerging gaps. The middle part explores specific academic disciplines, such as history, sports medicine, mathematics, engineering, and the humanities, dissecting the influence of GenAI on each. The final part looks ahead, discussing the ethical implications, the evolving role of prompting, and innovative frameworks for personalized learning. By presenting a balanced view of the opportunities that are now within reach through GenAI and the challenges such leaps pose to the way we learn and teach, this book allows interested educators to learn from the early-adopting contributors to fruitfully and responsibly integrate such technologies into their pedagogical practices. It serves as a resource for anyone interested in the future of educational practices and research of education, offering insights that can spark further exploration and discussion within the academic community and educational policy makers.
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm (SpringerBriefs in Applied Sciences and Technology)
by Oscar Castillo Fevrier Valdez Cinthia PerazaThis book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics contain parameters that are usually fixed throughout the iterations. However, a number of techniques are also available that dynamically adjust the parameters of an algorithm, such as probabilistic fuzzy logic.This book proposes a method of addressing the problem of parameter adaptation in the original harmony search algorithm using type-1, interval type-2 and generalized type-2 fuzzy logic. The authors applied this methodology to the resolution of problems of classical benchmark mathematical functions, CEC 2015, CEC2017 functions and to the optimization of various fuzzy logic control cases, and tested the method using six benchmark control problems – four of the Mamdani type: the problem of filling a water tank, the problem of controlling the temperature of a shower, the problem of controlling the trajectory of an autonomous mobile robot and the problem of controlling the speed of an engine; and two of the Sugeno type: the problem of controlling the balance of a bar and ball, and the problem of controlling control the balance of an inverted pendulum. When the interval type-2 fuzzy logic system is used to model the behavior of the systems, the results show better stabilization because the uncertainty analysis is better. As such, the authors conclude that the proposed method, based on fuzzy systems, fuzzy controllers and the harmony search optimization algorithm, improves the behavior of complex control plants.
General Will 2.0
by John Person Hiroki AzumaAccording to Azuma, the collective will and the general social contract has changed the world's political landscape over the last couple of years. Azuma looks back at Rousseau and Freud then forward to Twitter and Google to express how man deals with their part of the collective will through time. Azuma challenges society's perceptions of general will by looking at three philosophies through both time and technology. Azuma's unique analysis can be as compelling as fiction while making readers feel enlightened in the process.
Generalized Barycentric Coordinates in Computer Graphics and Computational Mechanics
by N. Sukumar Kai HormannIn Generalized Barycentric Coordinates in Computer Graphics and Computational Mechanics, eminent computer graphics and computational mechanics researchers provide a state-of-the-art overview of generalized barycentric coordinates. Commonly used in cutting-edge applications such as mesh parametrization, image warping, mesh deformation, and finite as well as boundary element methods, the theory of barycentric coordinates is also fundamental for use in animation and in simulating the deformation of solid continua. Generalized Barycentric Coordinates is divided into three sections, with five chapters each, covering the theoretical background, as well as their use in computer graphics and computational mechanics. A vivid 16-page insert helps illustrating the stunning applications of this fascinating research area. <P><P>Key Features: <li>Provides an overview of the many different types of barycentric coordinates and their properties. <li>Discusses diverse applications of barycentric coordinates in computer graphics and computational mechanics. <li>The first book-length treatment on this topic
Generalized Intuitionistic Multiplicative Fuzzy Calculus Theory and Applications (Uncertainty and Operations Research)
by Zeshui Xu Shan YuThis book mainly introduces the latest development of generalized intuitionistic multiplicative fuzzy calculus and its application. The book pursues three major objectives: (1) to introduce the calculus models with concrete mathematical expressions for generalized intuitionistic multiplicative fuzzy information; (2) to introduce new information fusion methods based on the definite integral models; and (3) to clarify the involved approaches bymilitary case. The book is especially valuable for readers to understand how the theoretical framework of generalized intuitionistic multiplicative fuzzy calculus is constructed, not only discrete or continuous but also correlative (generalized) intuitionistic (multiplicative) fuzzy information is aggregated based on the definite integral models and the theory with a military practice is integrated, which would deepen the understanding and give researchers more inspiration in practical decision analysis under uncertainties.
Generalized Linear Models With Examples in R (Springer Texts in Statistics)
by Peter K. Dunn Gordon K. SmythThis textbook presents an introduction to multiple linear regression, providing real-world data sets and practice problems. A practical working knowledge of applied statistical practice is developed through the use of these data sets and numerous case studies. The authors include a set of practice problems both at the end of each chapter and at the end of the book. Each example in the text is cross-referenced with the relevant data set, so that readers can load the data and follow the analysis in their own R sessions. The balance between theory and practice is evident in the list of problems, which vary in difficulty and purpose.This book is designed with teaching and learning in mind, featuring chapter introductions and summaries, exercises, short answers, and simple, clear examples. Focusing on the connections between generalized linear models (GLMs) and linear regression, the book also references advanced topics and tools that have not typically been included in introductions to GLMs to date, such as Tweedie family distributions with power variance functions, saddlepoint approximations, likelihood score tests, modified profile likelihood, and randomized quantile residuals. In addition, the authors introduce the new R code package, GLMsData, created specifically for this book. Generalized Linear Models with Examples in R balances theory with practice, making it ideal for both introductory and graduate-level students who have a basic knowledge of matrix algebra, calculus, and statistics.
Generalized Linear Models: Problems with Censored, Missing, and Zero-inflated Data (ISTE Invoiced)
by Jean-Francois DupuySince they were first formulated in 1972, generalized linear models have enjoyed a veritable boom, with numerous applications in insurance, economics and biostatistics. Today, they are still the subject of a great deal of research. This book provides an overview of the theory of generalized linear models. Particular attention is paid to the problems of censoring, missing data and excess zeros. Didactic and accessible, Generalized Linear Models is illustrated with exercises and numerous R codes. With all the necessary prerequisites introduced in a step-by-step fashion, this book is aimed at students (at master's or engineering school level), as well as teachers and practitioners of mathematics and statistical modeling.
Generalized Normalizing Flows via Markov Chains (Elements in Non-local Data Interactions: Foundations and Applications)
by Gabriele Steidl Paul Lyonel Hagemann Johannes HertrichNormalizing flows, diffusion normalizing flows and variational autoencoders are powerful generative models. This Element provides a unified framework to handle these approaches via Markov chains. The authors consider stochastic normalizing flows as a pair of Markov chains fulfilling some properties, and show how many state-of-the-art models for data generation fit into this framework. Indeed numerical simulations show that including stochastic layers improves the expressivity of the network and allows for generating multimodal distributions from unimodal ones. The Markov chains point of view enables the coupling of both deterministic layers as invertible neural networks and stochastic layers as Metropolis-Hasting layers, Langevin layers, variational autoencoders and diffusion normalizing flows in a mathematically sound way. The authors' framework establishes a useful mathematical tool to combine the various approaches.
Generalized Statistical Thermodynamics: Thermodynamics of Probability Distributions and Stochastic Processes (Understanding Complex Systems)
by Themis MatsoukasThis book gives the definitive mathematical answer to what thermodynamics really is: a variational calculus applied to probability distributions. Extending Gibbs's notion of ensemble, the Author imagines the ensemble of all possible probability distributions and assigns probabilities to them by selection rules that are fairly general. The calculus of the most probable distribution in the ensemble produces the entire network of mathematical relationships we recognize as thermodynamics. The first part of the book develops the theory for discrete and continuous distributions while the second part applies this thermodynamic calculus to problems in population balance theory and shows how the emergence of a giant component in aggregation, and the shattering transition in fragmentation may be treated as formal phase transitions. While the book is intended as a research monograph, the material is self-contained and the style sufficiently tutorial to be accessible for self-paced study by an advanced graduate student in such fields as physics, chemistry, and engineering.
Generalized Sylvester Equations: Unified Parametric Solutions
by Guang-Ren DuanProvides One Unified Formula That Gives Solutions to Several Types of GSEsGeneralized Sylvester equations (GSEs) are applied in many fields, including applied mathematics, systems and control, and signal processing. Generalized Sylvester Equations: Unified Parametric Solutions presents a unified parametric approach for solving various types of GSEs
Generalizing from Limited Resources in the Open World: Second International Workshop, GLOW 2024, Held in Conjunction with IJCAI 2024, Jeju, South Korea, August 3, 2024, Proceedings (Communications in Computer and Information Science #2160)
by Jinyang Guo Yuqing Ma Yifu Ding Ruihao Gong Xingyu Zheng Changyi He Yantao Lu Xianglong LiuThis book presents the Proceedings from the Second International Workshop GLOW 2024 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2024, in Jeju Island, South Korea, in August 2024. The 11 full papers and 4 short papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: efficient methods for low-resource hardware; efficient fintuning with limited data; advancements in multimodal systems; recognition and reasoning in the open world.
Generating Analog IC Layouts with LAYGEN II
by Nuno C.G. Horta Nuno C. Lourenço Ricardo M. MartinsThis book presents an innovative methodology for the automatic generation of analog integrated circuits (ICs) layout, based on template descriptions and on evolutionary computational techniques. A design automation tool, LAYGEN II was implemented to validate the proposed approach giving special emphasis to reusability of expert design knowledge and to efficiency on retargeting operations.
Generating a New Reality: From Autoencoders and Adversarial Networks to Deepfakes
by Micheal LanhamThe emergence of artificial intelligence (AI) has brought us to the precipice of a new age where we struggle to understand what is real, from advanced CGI in movies to even faking the news. AI that was developed to understand our reality is now being used to create its own reality. In this book we look at the many AI techniques capable of generating new realities. We start with the basics of deep learning. Then we move on to autoencoders and generative adversarial networks (GANs). We explore variations of GAN to generate content. The book ends with an in-depth look at the most popular generator projects.By the end of this book you will understand the AI techniques used to generate different forms of content. You will be able to use these techniques for your own amusement or professional career to both impress and educate others around you and give you the ability to transform your own reality into something new.What You Will LearnKnow the fundamentals of content generation from autoencoders to generative adversarial networks (GANs)Explore variations of GANUnderstand the basics of other forms of content generationUse advanced projects such as Faceswap, deepfakes, DeOldify, and StyleGAN2Who This Book Is ForMachine learning developers and AI enthusiasts who want to understand AI content generation techniques
Generation Digital
by Kathryn C. MontgomeryChildren and teens today have integrated digital culture seamlessly into their lives. For most, using the Internet, playing videogames, downloading music onto an iPod, or multitasking with a cell phone is no more complicated than setting the toaster oven to "bake" or turning on the TV. In Generation Digital,media expert and activist Kathryn C. Montgomery examines the ways in which the new media landscape is changing the nature of childhood and adolescence and analyzes recent political debates that have shaped both policy and practice in digital culture. The media have pictured the so-called "digital generation" in contradictory ways: as bold trailblazers and innocent victims, as active creators of digital culture and passive targets of digital marketing. This, says Montgomery, reflects our ambivalent attitude toward both youth and technology. She charts a confluence of historical trends that made children and teens a particularly valuable target market during the early commercialization of the Internet and describes the consumer-group advocacy campaign that led to a law to protect children's privacy on the Internet. Montgomery recounts--as a participant and as a media scholar--the highly publicized battles over indecency and pornography on the Internet. She shows how digital marketing taps into teenagers' developmental needs and how three public service campaigns--about sexuality, smoking, and political involvement--borrowed their techniques from commercial digital marketers. Not all of today's techno-savvy youth are politically disaffected; Generation Digitalchronicles the ways that many have used the Internet as a political tool, mobilizing young voters in 2004 and waging battles with the music and media industries over control of cultural expression online. Montgomery's unique perspective as both advocate and analyst will help parents, politicians, and corporations take the necessary steps to create an open, diverse, equitable, and safe digital media culture for young people.
Generation Next
by Oli White**The bestselling debut novel from YouTube sensation Oli White. CONTAINS EXCLUSIVE BONUS CONTENT!**Things haven't been easy for Jack recently - life as a teenager has its ups and downs. But when he meets a new group of friends, who are every bit as geek as they are chic, his luck seems to be changing. Each of the group is talented and when they pool together to create Generation Next, an incredible new kind of social media platform, it's clear that they're on to something special.What if your Instagram account grew by hundreds of thousands of followers overnight, and big companies were fighting each other to offer you photoshoots? When GenNext suddenly goes viral, Jack and his friends are thrust into a crazy world of fame which is as terrifying as it is awesome. Because someone out there is determined to trip Jack up at every step. If he doesn't stop them, soon everyone he cares about - his friends, his family, and the girl he's falling for - will be in danger...