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Book
Data Analytics in Digital Humanities
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ISBN: 3319544993 3319544985 Year: 2017 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks. Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive. .

Keywords

Computer science. --- Computer communication systems. --- Computers. --- Artificial intelligence. --- Application software. --- Computer Science. --- Information Systems and Communication Service. --- Computer Appl. in Arts and Humanities. --- Computer Communication Networks. --- Artificial Intelligence (incl. Robotics). --- Digital humanities. --- Humanities --- Data processing --- Information technology --- Information systems. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Distributed processing


Book
Designing Instruction For Open Sharing
Author:
ISBN: 3030027139 3030027120 Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This textbook considers and addresses the design of online learning objects, electronic textbooks, short courses, long courses, MOOC courses, and other types of contents for open sharing. It also considers the design of online mediated communities to enhance such learning. The “openness” may be open-access, and/or it may even be open-source. The learning may range from self-directed and automated to AI robot-led to instructor-led. The main concept of this work is that design learning for open sharing, requires different considerations than when designing for closed and proprietary contexts. Open sharing of learning contents requires a different sense of laws (intellectual property, learner privacy, pedagogical strategies, technologies, media, and others). It requires different considerations of learner diversity and inclusion. It requires geographical, cultural, and linguistic considerations that are not as present in more localized designs. The open sharing aspect also has effects on learner performance tracking (assessments) and learner feedback. This textbook targets students, both undergraduate and graduate in computer science, education and other related fields. Also, professionals in this field managing online systems would find this book helpful.


Book
Social Media Data Extraction and Content Analysis
Author:
ISBN: 1522506489 1522506497 Year: 2016 Publisher: Information Science Reference

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Digital
Designing Instruction For Open Sharing
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ISBN: 9783030027131 Year: 2019 Publisher: Cham Springer International Publishing

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Abstract

This textbook considers and addresses the design of online learning objects, electronic textbooks, short courses, long courses, MOOC courses, and other types of contents for open sharing. It also considers the design of online mediated communities to enhance such learning. The “openness” may be open-access, and/or it may even be open-source. The learning may range from self-directed and automated to AI robot-led to instructor-led. The main concept of this work is that design learning for open sharing, requires different considerations than when designing for closed and proprietary contexts. Open sharing of learning contents requires a different sense of laws (intellectual property, learner privacy, pedagogical strategies, technologies, media, and others). It requires different considerations of learner diversity and inclusion. It requires geographical, cultural, and linguistic considerations that are not as present in more localized designs. The open sharing aspect also has effects on learner performance tracking (assessments) and learner feedback. This textbook targets students, both undergraduate and graduate in computer science, education and other related fields. Also, professionals in this field managing online systems would find this book helpful.


Digital
Data Analytics in Digital Humanities
Author:
ISBN: 9783319544991 Year: 2017 Publisher: Cham Springer International Publishing

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Abstract

This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks. Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive. .


Book
Enhancing qualitative and mixed methods research with technology
Author:
ISBN: 9781466664937 9781466664944 9781466664968 Year: 2015 Publisher: Hershey, Pa Information Science Reference, an imprint of IGI Global

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Book
Common Visual Art in a Social Digital Age
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ISBN: 9781685077488 168507748X 9781685076641 Year: 2022 Publisher: New York Nova Science Publishers, Incorporated

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Book
Generative AI in teaching and learning
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ISBN: 9798369300749 Year: 2024 Publisher: Hershey, Pa IGI Global

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Book
Designing Instruction For Open Sharing
Authors: ---
ISBN: 9783030027131 Year: 2019 Publisher: Cham Springer International Publishing :Imprint: Springer

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