Peter Bannister, Elena Alcalde Peñalver, Alexandra Santamaría Urbieta
{"title":"跨国高等教育文化与生成性人工智能:以英语为教学语言的政策制定名义小组研究","authors":"Peter Bannister, Elena Alcalde Peñalver, Alexandra Santamaría Urbieta","doi":"10.1108/jme-10-2023-0102","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and longstanding calls to define and disseminate quality implementation good practice.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>A virtual nominal group technique engaged experts (<em>n</em> = 14) in idea generation, refinement and consensus building across asynchronous and synchronous stages. The resulting qualitative and quantitative data were analysed using thematic analysis and descriptive statistics, respectively.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The GenAI Academic Integrity Policy Development Blueprint for EMI Tertiary Education is not a definitive mandate but represents a roadmap of inquiry for reflective deliberation as institutions chart their own courses in this complex terrain.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>If repeated with varying expert panellists, findings may vary to a certain extent; thus, further research with a wider range of stakeholders may be necessary for additional validation.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>While grounded within the theoretical underpinnings of the field, the tool holds practical utility for stakeholders to develop bespoke policies and critically re-examine existing frameworks.</p><!--/ Abstract__block -->\n<h3>Social implications</h3>\n<p>As texts produced by students using English as an additional language are at risk of being wrongly accused of GenAI-assisted plagiarism, owing to the limited efficacy of text classifiers such as Turnitin, the policy recommendations encapsulated in the blueprint aim to reduce potential bias and unfair treatment of students.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>The novel blueprint represents a step towards bridging concerning gaps in policy responses worldwide and aims to spark discussion and further much-needed scholarly exploration to this end.</p><!--/ Abstract__block -->","PeriodicalId":43323,"journal":{"name":"Journal for Multicultural Education","volume":"60 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transnational higher education cultures and generative AI: a nominal group study for policy development in English medium instruction\",\"authors\":\"Peter Bannister, Elena Alcalde Peñalver, Alexandra Santamaría Urbieta\",\"doi\":\"10.1108/jme-10-2023-0102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and longstanding calls to define and disseminate quality implementation good practice.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>A virtual nominal group technique engaged experts (<em>n</em> = 14) in idea generation, refinement and consensus building across asynchronous and synchronous stages. 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Transnational higher education cultures and generative AI: a nominal group study for policy development in English medium instruction
Purpose
This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and longstanding calls to define and disseminate quality implementation good practice.
Design/methodology/approach
A virtual nominal group technique engaged experts (n = 14) in idea generation, refinement and consensus building across asynchronous and synchronous stages. The resulting qualitative and quantitative data were analysed using thematic analysis and descriptive statistics, respectively.
Findings
The GenAI Academic Integrity Policy Development Blueprint for EMI Tertiary Education is not a definitive mandate but represents a roadmap of inquiry for reflective deliberation as institutions chart their own courses in this complex terrain.
Research limitations/implications
If repeated with varying expert panellists, findings may vary to a certain extent; thus, further research with a wider range of stakeholders may be necessary for additional validation.
Practical implications
While grounded within the theoretical underpinnings of the field, the tool holds practical utility for stakeholders to develop bespoke policies and critically re-examine existing frameworks.
Social implications
As texts produced by students using English as an additional language are at risk of being wrongly accused of GenAI-assisted plagiarism, owing to the limited efficacy of text classifiers such as Turnitin, the policy recommendations encapsulated in the blueprint aim to reduce potential bias and unfair treatment of students.
Originality/value
The novel blueprint represents a step towards bridging concerning gaps in policy responses worldwide and aims to spark discussion and further much-needed scholarly exploration to this end.
期刊介绍:
The Journal for Multicultural Education is a double-blind peer reviewed journal. Published quarterly, the editorial objectives and coverage focus on: Fostering research into the management of multicultural education, understanding multicultural education in the context of teacher-learner equity and enabling learners to collaborate more effectively across ethnic, cultural and linguistic lines. Topics covered include: -Intercultural education- Inclusive education- Urban education- Diversity in education- Ethnicity in education- Gender and education- Disability and education- Technology and Multicultural education The journal is international in coverage and publishes original, theoretical and applied articles by leading scholars, expert consultants and respected practitioners.