Beyond the Hype: How Higher Education Stakeholders View the Benefits and Concerns of Generative AI for Teaching, Research, and Administration

Synthesis: Humble and Mozelius (2026) conduct a SWOT analysis of 167 contributions collected via Padlet during webinars at two Swedish universities attended by 152 higher-education personnel. Strengths include content creation, translation, and transcription capabilities that streamline workflows and support collaboration; weaknesses include inaccuracies, lack of system transparency, and user dependency; opportunities include supportive roles, outsourcing repetitive tasks, and partnering with AI for innovative teaching; threats include destabilization of educational norms, ethical issues around data privacy and copyright, and organizational challenges. The study translates findings into a Balanced Scorecard framework across student, internal-business, innovation-and-learning, and financial perspectives.

Key Findings

• Stakeholders identified strengths in GAI content creation, translation, and transcription that streamline workflows and support collaboration.
• Weaknesses centred on inaccuracies (hallucinations, made-up references), lack of system transparency ('black box'), and user dependency.
• Opportunities included supportive roles, outsourcing repetitive tasks, and partnering with AI for innovative teaching practices.
• Threats included destabilization of educational norms, ethical issues around data privacy and copyright, and organizational challenges such as workforce adaptation.
• Stakeholders requested clear institutional guidelines, targeted professional development, and allocation of time and resources for responsible adoption.

Implications for AI in Education

By mapping diverse stakeholder perceptions to a Balanced Scorecard framework, the study bridges what personnel see in GenAI with actionable institutional strategy. The balanced treatment of strengths and threats supports institutions in developing governance that captures benefits while mitigating risks around accuracy, transparency, and ethics. It informs Governance, AI policy, and professional development for Higher Ed as institutions move beyond hype toward responsible integration.

Connected Concepts

• Stakeholders
• Generative AI
• Higher Ed
• Governance
• Educational Policy AI
• Educational Development

Connected Articles

• [crompton-governing-genai-higher-ed-delphi-2026] — Delphi study on governing GenAI in higher ed
• [long-ai-higher-ed-engagement-teaching-methods-2026] — AI engagement and teaching methods in higher ed

Citation

Humble, N., & Mozelius, P. (2026). Beyond the hype – How higher education stakeholders view the benefits and concerns of generative AI for teaching, research, and administration. Computers and Education Open, 10, 100381.