Benefits and challenges of integrating generative AI in health technology education—a case study

A case study examining the integration of generative AI in master's-level health technology education revealed that most students actively utilize AI for various tasks, including prototyping, writing, visual design, and problem-solving. Students perceived generative AI as a multifunctional learning resource, highlighting both its benefits and challenges within an educational context.

Why it matters

The increasing integration of generative AI into specialized educational curricula, such as health technology, signifies a foundational shift in learning methodologies and resource utilization. Understanding student perceptions of these tools is critical for institutions and industries to anticipate future workforce capabilities and adapt to evolving technological landscapes.

Key insights

• Most students in health technology education actively use generative AI.
• Generative AI is employed for diverse tasks such as prototyping, writing, visual design, and problem-solving.
• Students perceive generative AI as a versatile learning resource.
• The study identified both benefits and challenges associated with AI integration in education.
• Research utilized surveys and semi-structured interviews with master's-level students.

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1763138