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Writing with machines? Reconceptualizing student work in the age of AI

Bibliographic Data

ID22092552
AuthorsMark Friis Hau (0000-0001-7496-1232, Roskilde University, corresponding author)
Year2025
Volume10
Publication date2025-04-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Communication (JOURNAL)
Journal identifiersISSN: 2297-900X • E-ISSN: 2297-900X
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fcomm.2025.1598988
OpenAlexW4409980457
LanguageEN
Citations received3
References cited17

The rise of generative artificial intelligence (GenAI) such as ChatGPT fundamentally challenges traditional assumptions about student authorship and assessment in higher education. Drawing on Michel Foucault's notion of the “author function” and Roland Barthes' critique of textual authority, this paper argues that AI chatbots expose critical tensions in how we understand and evaluate student work. After examining why conventional approaches to ensuring assessment integrity have become obsolete, I propose a 'tapas model' of assessment that combines different evaluation types: pure human work, bounded AI use, and full AI integration. This model moves beyond binary notions of AI detection and cheating, instead embracing AI as a co-participant in knowledge production while ensuring students develop both traditional and AI-enhanced competencies. The paper argues for shifting from punitive AI detection to transparent AI declaration, treating AI as a methodological consideration rather than a threat to academic integrity. This approach acknowledges that knowledge creation has always involved complex networks and suggests that education must evolve beyond simplistic notions of individual authorship to embrace more nuanced forms of assessment suited to an AI-augmented world

Mathematics education · Programming language · Sociology · Academic integrity and plagiarism · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Psychology · Mechanical Engineering

  • A systematic critical review of generative AI's impact on authorship, pedagogy, and integrity (2023–2025)

    Open Access•Zouhaier Slimi•Frontiers in Education•2026

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    Open Access•Dong Wang, Mohammad Nazir Ahmad et al.•European Journal of Education•2026

  • AI literacy as metacommunicative agility

    Open Access•Mark Friis Hau, Julie Vulpius et al.•AI & Society•2026

  • GPT detectors are biased against non-native English writers

    Open Access•Weixin Liang, Mert Yuksekgonul et al.•Patterns•2023

  • Foucault on the "Question of the Author"

    A D Wilson, Adrian Wilson•The Modern Language Review•2004

  • Toward thoughtful integration of AI in education

    Jihyun Kim, Stephanie Kelly et al.•Communication Education•2024

  • Imagining futures for communication education

    Sergio Fernando Juárez, C Kyle Rudick•Communication Education•2025

  • Navigating AI in education

    Jihyun Kim, Stephanie Kelly et al.•Communication Education•2025

  • The take‐home examination

    Alex S Freedman•Peabody Journal of Education•1968

Unique citing works3
Citations per year3
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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