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Research Summary: Perceived educational value, ethical risk, and support for responsible AI governance in higher education: an embedded mixed-methods study

Original authors
Attribution requires verification
Original source
Frontiers in Education
Summary & Analysis prepared by
Aziz Shuaib Ausi
Resource type
Research Summary / Knowledge Resource
Resource published on AZIZ OS
28 September 2026
Reading time
1 min
Publication type
Knowledge Resource
Availability
Open access
About this Summary & Analysis

AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.

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A research study explored the relationship between perceived educational value (PEV) of Generative Artificial Intelligence (GenAI), AI ethical risk perception (AERP), and support for responsible AI governance (RAGS) among higher education stakeholders. The study utilized an embedded mixed-methods design, combining quantitative Likert-scale data and qualitative open-ended responses from a structured questionnaire, to understand the factors influencing stakeholder support for institutional GenAI governance.

Why it matters

The increasing integration of GenAI into critical domains such as education necessitates a robust understanding of stakeholder perspectives on its governance. Addressing perceived value and ethical risks is crucial for developing sustainable and broadly supported governance frameworks for emerging technologies, impacting adoption, regulation, and public trust.

Key insights

  • Generative AI (GenAI) is increasingly integrated into higher education assessment practices.
  • Perceptual factors influencing stakeholder support for GenAI governance in higher education are not well understood.
  • The study investigated the association between stakeholders' perceived educational value of GenAI and their support for responsible AI governance.
  • The study also examined the link between stakeholders' perception of ethical risks associated with AI and their support for responsible AI governance.
  • A mixed-methods approach, including quantitative and qualitative data, was used to contextualize and deepen interpretations of these relationships.

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1926201

Citation

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Verification ID
ASA-EXE-2026-00980
Version
v1.0 · r0
Issued
28 September 2026
Resource prepared by
Aziz Shuaib Ausi
Resource status
Research Summary / Knowledge Resource
Underlying work
Perceived educational value, ethical risk, and support for responsible AI governance in higher education: an embedded mixed-methods study
Original authors
Attribution requires verification
Original source
Frontiers in Education
Provenance status
Attribution requires verification
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Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.

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