Pedagogical prompting rather than technical mastery: Generative AI use by English and English-medium instruction teachers

A perspective article from 'Frontiers in Education (International)' highlights a tension in the adoption of Generative AI by educators: while AI is promoted as a tool for efficiency, teachers face a growing technical burden in mastering various AI platforms. The core issue identified is a weak distinction between general AI literacy and specialized prompt engineering, suggesting that the current approach may not align with the goal of reducing teacher workload.

Why it matters

This observation is strategically important as it identifies a potential bottleneck in the effective adoption and integration of AI technologies across various sectors, particularly where end-users are not primarily technologists. Understanding and addressing this 'technical burden paradox' is crucial for ensuring that technological investments translate into tangible productivity gains and user acceptance, rather than increased training costs and user frustration.

Key insights

• AI is presented to educators as a means to enhance efficiency (easier, faster, more flexible work).
• Educators are simultaneously required to engage with numerous AI platforms, agents, automation systems, and technical courses.
• This creates a practical tension where the effort required to use AI effectively contradicts its stated benefit of reducing workload.
• A key contributor to this tension is the unclear distinction between AI literacy and prompt engineering.
• The analysis is based on professional experience and classroom observation, aiming to open discussion rather than provide definitive solutions.

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1901680