Artificial Intelligence in Higher Education: A Phenomenological View

dc.contributorEDITOR: Yeralan, Sencer; orcid: https://orcid.org/0000-0002-8689-5268
dc.contributor.authorAka, Philip
dc.contributor.authorDerek Baker
dc.contributor.authorAzra Branković
dc.contributor.authorEka Gegeshidze
dc.contributor.authorLaura Ancona Lee
dc.contributor.authorChristos Michalakelis
dc.contributor.authorMbulaheni Nthangeni
dc.contributor.authorEfthymia Staiou
dc.contributor.editorYeralan, Sencer
dc.date.accessioned2026-05-07T05:48:40Z
dc.date.available2026-05-07T05:48:40Z
dc.date.issued2026-04-27
dc.date.updated2026-05-07T05:48:12Z
dc.descriptionPublication status: ACTIVE
dc.description.abstract<p>Artificial intelligence is increasingly embedded in the everyday practices of higher education, shaping assessment, governance, labor, and institutional legitimacy. Rather than presenting a technical guide or policy checklist, this volume instead offers a reflective, multi-voiced examination of what AI means for higher education’s purpose, identity, and future. Its phenomenological grounding shifts the focus from operational questions of implementation to deeper inquiries into how AI reshapes institutions, knowledge, and the academic self.</p><p>Drawing on historical and critical perspectives, the book interrogates AI as both mirror and accelerant of long-standing challenges: inequity, market-driven logics, and the erosion of slow, critical learning. Spanning geopolitical contexts and institutional types, it embraces pluralism over consensus, showing that AI will not transform all universities in the same way. Narrative interludes humanize these themes, revealing the anxieties, ambiguities, and hopes of those living through this transition.</p><p>Building on the work of Richard Heller on the distributed university and knowledge equity, the book situates AI within broader structural issues such as corporatised knowledge economies, managerialism, and unequal access to educational and research opportunities. At the same time, it highlights emerging possibilities―from open educational resources and equitable research practices to decentralised digital infrastructures―that can contribute to more ethical and resilient institutional arrangements.</p><p>Neither prescriptive nor simplistic, this book is intended as a catalyst for leaders, policymakers, and reflective practitioners seeking to navigate AI with wisdom rather than haste. It argues that the future of higher education will be shaped less by technological sophistication than by the clarity with which institutions articulate their values, responsibilities, and commitments to the public good.</p>
dc.description.versionVoR
dc.identifier.doihttps://doi.org/10.11647/OBP.0525
dc.identifier.isbn9781805118725
dc.identifier.isbn9781805118732
dc.identifier.isbn9781805118749
dc.identifier.isbn9781805118763
dc.identifier.isbn9781805118756
dc.identifier.otheraa0bba6f-f5d0-4619-970d-2ca250ba4fb8
dc.identifier.urihttps://thoth-arch.lib.cam.ac.uk/handle/1811/956
dc.languageENG
dc.publisherOpen Book Publishers
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectBUS098000
dc.subjectEDU000000
dc.subjectEDU015000
dc.subjectPHI034000
dc.subjectSOC026000
dc.subjectSOC071000
dc.subject4CT
dc.subjectJHB
dc.subjectKJMK
dc.subjectQDTQ
dc.subjectU
dc.subjectEducation
dc.subjectMedia Studies and Journalism
dc.subjectPhilosophy
dc.subjectPolitics and Sociology
dc.subjectAcademic labor
dc.subjectartificial intelligence in higher education
dc.subjectEthics of educational technology
dc.subjectInstitutional governance
dc.subjectKnowledge equity
dc.subjectuniversity futures
dc.titleArtificial Intelligence in Higher Education: A Phenomenological View
dc.typehttp://purl.org/coar/resource_type/c_2f33
dcterms.accessRightsEmbargo: none

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