The digital academic : critical perspectives on digital technologies in higher education

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書誌事項

The digital academic : critical perspectives on digital technologies in higher education

edited by Deborah Lupton, Inger Mewburn and Pat Thomson

Routledge, 2018

  • : hbk

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Academic work, like many other professional occupations, has increasingly become digitised. This book brings together leading scholars who examine the impacts, possibilities, politics and drawbacks of working in the contemporary university, using digital technologies. Contributors take a critical perspective in identifying the implications of digitisation for the future of higher education, academic publishing protocols and platforms and academic employment conditions, the ways in which academics engage in their everyday work and as public scholars and relationships with students and other academics. The book includes accounts of using digital media and technologies as part of academic practice across teaching, research administration and scholarship endeavours, as well as theoretical perspectives. The contributors span the spectrum of early to established career academics and are based in education, research administration, sociology, digital humanities, media and communication.

目次

1. The digital academic: identities, contexts and politics 2. Towards an academic self? Blogging during the doctorate 3. Going from PhD to platform 4. Academic persona: the construction of online reputation in the modern academy 5. Academic Twitter and academic capital: collapsing orality and literacy in scholarly publics 6. Intersections online: academics who tweet 7. Sustaining Asian Australian scholarly activism online 8. Digital backgrounds, active foregrounds: student and teacher experiences with 'flipping the classroom' 9. A labour of love: a critical examination of the 'labour icebergs' of massive open online courses 10. Digital methods and data labs: the redistribution of educational research to education data science 11. Interview 12. Interview

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