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dc.contributor.authorTorkestani, MS
dc.contributor.authorDose, D
dc.contributor.authorMansouri, T
dc.date.accessioned2025-05-01T13:32:56Z
dc.date.issued2025
dc.date.updated2025-05-01T12:03:22Z
dc.description.abstractThe advancement of artificial intelligence is reshaping the marketing landscape, underscoring the need to integrate prompt engineering into marketing education. This study presents a conceptual framework for embedding prompt engineering within marketing curricula, rooted in established educational theories. An integrative literature review and thematic analysis revealed five critical themes: the essential role of prompt engineering, key techniques for marketing students, curriculum integration challenges, effective implementation strategies, and wider implications for marketing education. The resulting framework encompasses five core components: foundational AI and marketing knowledge, skill development in prompt engineering, curriculum integration and design, faculty development through interdisciplinary collaboration, and ethical AI use. A workshop-based case study demonstrates how instruction in advanced prompting techniques enhanced content clarity, creativity, and practical AI readiness. Building on these findings, the paper offers actionable recommendations for curricular design, faculty training, hands-on learning opportunities, industry partnerships, ethical considerations, and ongoing assessment. By equipping students with robust prompting skills and ethical awareness, educators can address the evolving demands of AI-driven marketing, ultimately advancing the profession. This comprehensive framework helps institutions modernize their marketing programs, fostering graduates prepared for innovation and responsible AI engagement.en_GB
dc.identifier.citationAwaiting citation and resolution of DOIen_GB
dc.identifier.doihttps://doi.org/10.1080/10528008.2025.2501788
dc.identifier.urihttp://hdl.handle.net/10871/140889
dc.language.isoenen_GB
dc.publisherRoutledgeen_GB
dc.rights.embargoreasonUnder temporary indefinite embargo pending publication by Routledge. No embargo required on publicationen_GB
dc.rights© 2025 The author(s). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.en_GB
dc.subjectArtificial Intelligenceen_GB
dc.subjectPrompt Engineeringen_GB
dc.subjectLarge Language Modelsen_GB
dc.subjectAdvanced Prompting Techniquesen_GB
dc.subjectMarketing Educationen_GB
dc.titleBridging AI Skills Gaps in Marketing Education: Prompt Engineering as a Key Competencyen_GB
dc.typeArticleen_GB
dc.date.available2025-05-01T13:32:56Z
dc.identifier.issn1052-8008
dc.descriptionThis is the author accepted manuscript.en_GB
dc.identifier.eissn2153-9987
dc.identifier.journalMarketing Education Reviewen_GB
dc.relation.ispartofMarketing Education Review
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_GB
dcterms.dateAccepted2025-04-22
dcterms.dateSubmitted2024-12-04
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2025-04-22
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2025-05-01T12:03:24Z
refterms.versionFCDAM
refterms.panelCen_GB
exeter.rights-retention-statementNo


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© 2025 The author(s). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.
Except where otherwise noted, this item's licence is described as © 2025 The author(s). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.