1.

Record Nr.

UNINA9910736501403321

Titolo

Human Data Interaction, Disadvantage and Skills in the Community : Enabling Cross-Sector Environments for Postdigital Inclusion / / edited by Sarah Hayes, Michael Jopling, Stuart Connor, Matthew Johnson

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023

ISBN

9783031318757

3031318757

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (326 pages)

Collana

Postdigital Science and Education, , 2662-5334

Disciplina

361

004.019

Soggetti

Educational technology

Educational sociology

Artificial intelligence

Digital Education and Educational Technology

Sociology of Education

Artificial Intelligence

Interacció persona-ordinador

Tecnologia educativa

Intel·ligència artificial

Condicions socials

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Part I Legibility -- 1.Digital Exclusion and the Data Creation Gap: An Exploration of the Connections Between Social Limits to Data Access, Data Creation and Nuanced Exclusions in Human Data Interactions -- 2.Working Towards a 100% Digitally Included Wolverhampton -- 3.Human Data Interaction within Eye Care -- Part II Agency -- 4.‘Something Important is going on with Data’: Educators’ Search for Political Agency to Act as Professionals in Complex Datafied Contexts, -- 5.The Ethics of the Personal Digital Twin -- 6.Innovative Assessment



Using Smart Glasses in Further Education: HDI Considerations -- 7. Supporting and Humanising Behavioural Change without the Behaviorism: Digital Footprints, Learning Analytics and Nudges -- Part III Negotiability -- 8.Digital Inclusion Towards e-Governance: Challenges and Issues -- 9.Inclusive Privacy Control at Home for Smart Health -- 10.Learning Analytics for Co-creation and Interactive Courseware -- 11.Digital Access Inequality among Vulnerable Children and Young People: Did the Pandemic Cause a Snowball Effect? -- Part IV Resistance -- 12.The Datafication of Education in England: A Children’s Rights-Based Approach to Human Data Interaction Theory -- 13.Primary School Reading Diaries, Digital Enclosure and the Common Good: Exploring an Alternative Postdigital Commons Based on Data Cooperatives -- 14.The Datafication of Teaching and Learning in UK Higher Education: Towards Postdigital Pedagogies? -- 15.‘Reject All’: Data, Drift and Digital Vigilance -- Afterword: Human Data Interaction at the Forefront of Understanding of the Age of Artificial Intelligence.

Sommario/riassunto

The book provides a dynamic, cross-sectional, multidisciplinary perspective and dialogue to illuminate the challenges humans face in their interactions with data in their individual postdigital contexts in local communities. It offers unique insights from real cases, collaborations, and projects to extend existing academic theories and frameworks, applied to human data interactions, disadvantage, and digital skills. The book takes the novel approach of establishing co-authorship between cross-sector practitioners from the wider community (such as local authorities, councils, policy makers, small businesses, charities, education and skills providers, and other stakeholders) with international academics and researchers who write about humans, digital skills, and data. This develops an enabling cross-sector environment throughout the book that not only furthers broader understandings concerning data, disadvantage and digital skills in postdigital society, but also shares a template to support others who may wish to adopt this approach to co-authorship and knowledge exchange. The book revisits the Human Data Interaction (HDI) framework (Mortier, Haddadi, Henderson, McAuley, and Crowcroft 2014) through many diverse cross-sectoral perspectives. These are co-authored under the HDI framework’s key tenets of: agency, legibility, negotiability and resistance. These tenets form the main sections of the book, with chapters examining these concepts through both interdisciplinary academic literature and cross-sector dialogue with individuals and agencies from the wider community who work with diverse and often disadvantaged groups.



2.

Record Nr.

UNINA9910484683803321

Titolo

Artificial Neural Networks – ICANN 2009 : 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II / / edited by Cesare Alippi, Marios M. Polycarpou, Christos Panayiotou, Georgios Ellinas

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009

ISBN

3-642-04277-5

Edizione

[1st ed. 2009.]

Descrizione fisica

1 online resource (XXXIII, 1002 p.)

Collana

Theoretical Computer Science and General Issues, , 2512-2029 ; ; 5769

Altri autori (Persone)

AlippiCesare

Disciplina

004.0151

Soggetti

Computer science

Artificial intelligence

Neurosciences

Pattern recognition systems

Data mining

Computer simulation

Theory of Computation

Artificial Intelligence

Neuroscience

Automated Pattern Recognition

Data Mining and Knowledge Discovery

Computer Modelling

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Neuroinformatics and Bioinformatics -- Cognitive Machines -- Data Analysis and Pattern Recognition -- Signal and Time Series Processing -- Applications -- Neural Dynamics and Complex Systems -- Vision and Image Processing -- Neuro-Evolution and Hybrid Techniques for Mobile Agents Control -- Neural Control, Planning and Robotics Applications -- Intelligent Tools and Methods for Multimedia Annotation -- Critical Infrastructure Systems.

Sommario/riassunto

This two volume set LNCS 5768 and LNCS 5769 constitutes the



refereed proceedings of the 19th International Conference on Artificial Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is divided in topical sections on neuroinformatics and bioinformatics; cognitive machines; data analysis and pattern recognition; signal and time series processing; neural dynamics and complex systems; vision and image processing; neuro-evolution and hybrid techniques for mobile agents control; neural control, planning and robotics applications; intelligent tools and methods for multimedia annotation; and critical infrastructure systems.