Transnational higher education cultures and generative AI: a nominal group study for policy development in English medium instruction

IF 0.8 Q3 EDUCATION & EDUCATIONAL RESEARCH
Peter Bannister, Elena Alcalde Peñalver, Alexandra Santamaría Urbieta
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引用次数: 0

Abstract

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.

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
目的本文旨在报告一个以证据为依据的框架的发展情况,该框架旨在促进制定以英语为教学语言(EMI)的高等教育的生成人工智能(GenAI)学术诚信政策应对措施,以应对该行业所面临的特定挑战以及长期以来关于界定和传播高质量实施良好实践的呼吁。研究限制/意义如果与不同的专家小组成员重复研究,研究结果可能会有一定程度的差异;因此,可能需要与更广泛的利益相关者开展进一步研究,以进一步验证研究结果。实际意义虽然该工具立足于该领域的理论基础,但对利益相关者制定定制政策和批判性地重新审查现有框架具有实际效用。社会影响由于 Turnitin 等文本分类器的功效有限,使用英语作为额外语言的学生所制作的文本有可能被错误地指控为 GenAI 辅助的抄袭,因此蓝图中包含的政策建议旨在减少潜在的偏见和对学生的不公平待遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal for Multicultural Education
Journal for Multicultural Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
2.10
自引率
18.20%
发文量
52
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.
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