arXiv:2602.10802cs.AI2026-02

针对高校生成式AI应用,提出兼顾合规与需求的整合框架

Integrating Generative AI-enhanced Cognitive Systems in Higher Education: From Stakeholder Perceptions to a Conceptual Framework considering the EU AI Act

  • 通过问卷调研61名教师和37名学生,分析学科差异下的认知差异
  • 发现编程支持需求强烈,但隐私与学术诚信问题仍存担忧
  • 构建符合欧盟人工智能法案的责任型整合框架,适合教育机构参考

高等教育领域中,教职员工与学生已广泛使用生成式人工智能(GenAI)工具。尽管GenAI有望提升认知系统,实现个性化学习与服务优化,但其在高校中的接受度受文化、学科与机构背景影响,存在分歧。同时,欧盟《人工智能法案》要求高校在部署认知系统时确保合规。本研究聚焦信息科技与电气工程学科(ITEE),采用混合方法对奥卢大学ITEE学院61名教职员工与37名学生进行调查。结果显示,尽管存在对编程支持的普遍期待,但对响应质量、隐私保护及学术诚信仍存顾虑。基于调研结果,研究提炼出高层级需求,并提出一个负责任的GenAI整合概念框架。该框架强调学科特异性需求,凸显利益相关方参与的重要性,为高校在应对关切与满足监管要求的前提下,有效应用GenAI提供实践指导。

原文摘要 · Abstract (English)

Many staff and students in higher education have adopted generative artificial intelligence (GenAI) tools in their work and study. GenAI is expected to enhance cognitive systems by enabling personalized learning and streamlining educational services. However, stakeholders perceptions of GenAI in higher education remain divided, shaped by cultural, disciplinary, and institutional contexts. In addition, the EU AI Act requires universities to ensure regulatory compliance when deploying cognitive systems. These developments highlight the need for institutions to engage stakeholders and tailor GenAI integration to their needs while addressing concerns. This study investigates how GenAI is perceived within the disciplines of Information Technology and Electrical Engineering (ITEE). Using a mixed-method approach, we surveyed 61 staff and 37 students at the Faculty of ITEE, University of Oulu. The results reveal both shared and discipline-specific themes, including strong interest in programming support from GenAI and concerns over response quality, privacy, and academic integrity. Drawing from these insights, the study identifies a set of high-level requirements and proposes a conceptual framework for responsible GenAI integration. Disciplinary-specific requirements reinforce the importance of stakeholder engagement when integrating GenAI into higher education. The high-level requirements and the framework provide practical guidance for universities aiming to harness GenAI while addressing stakeholder concerns and ensuring regulatory compliance.

生成式AI教育技术合规框架高校应用

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