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The multiliteracies classroom
Mills, Kathy, 1974-Bristol, UK ; Buffalo [N.Y.] : Multilingual Matters, c2011.The multiliteracies approach to literacy education has become established as an accessible and effective paradigm for classroom practice in the 21st century. The Multiliteracies Classroom enlivens this theory with its vivid description of events in a real classroom. Teachers will identify with the lively transcripts of classroom interactions, and be inspired to widen students' access to new literacy practices in an increasingly digital and globalised world. The possibilities and constraints that can be encountered when implementing multiliteracies are explored in detail. Educators know from experience that students begin their classroom journey with entirely unequal opportunities for literacy success. The Multiliteracies Classroom does not ignore this reality, highlighting the influence of society's patterns of power on literacy learning in the digital age. Its key themes provide a blueprint for the future of literacy research and practice.
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Big data for qualitative research
Mills, Kathy, 1974-Abingdon, Oxon ; New York, NY : Routledge, 2019.Big Data for Qualitative Research covers everything small data researchers need to know about big data, from the potentials of big data analytics to its methodological and ethical challenges. The data that we generate in everyday life is now digitally mediated, stored, and analyzed by web sites, companies, institutions, and governments. Big data is large volume, rapidly generated, digitally encoded information that is often related to other networked data, and can provide valuable evidence for study of phenomena. This book explores the potentials of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the-thing methods, mobile research methods, multimodal analysis, and rhythmanalysis. It debates new concerns about ethics, privacy, and dataveillance for big data qualitative researchers. This book is essential reading for those who do qualitative and mixed methods research, and are curious, excited, or even skeptical about big data and what it means for future research. Now is the time for researchers to understand, debate, and envisage the new possibilities and challenges of the rapidly developing and dynamic field of big data from the vantage point of the qualitative researcher.
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Big data for qualitative research
Mills, Kathy, 1974-Abingdon, Oxon ; New York, NY : Routledge, 2019.Big Data for Qualitative Research covers everything small data researchers need to know about big data, from the potentials of big data analytics to its methodological and ethical challenges. The data that we generate in everyday life is now digitally mediated, stored, and analyzed by web sites, companies, institutions, and governments. Big data is large volume, rapidly generated, digitally encoded information that is often related to other networked data, and can provide valuable evidence for study of phenomena. This book explores the potentials of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the-thing methods, mobile research methods, multimodal analysis, and rhythmanalysis. It debates new concerns about ethics, privacy, and dataveillance for big data qualitative researchers. This book is essential reading for those who do qualitative and mixed methods research, and are curious, excited, or even skeptical about big data and what it means for future research. Now is the time for researchers to understand, debate, and envisage the new possibilities and challenges of the rapidly developing and dynamic field of big data from the vantage point of the qualitative researcher.
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