Generative AI in Education: When Is It a Tool, and When Is It a Trap?

In a context where generative AI is seeping into every aspect of life, education cannot stand aside. Recently, the OECD Digital Education Outlook 2026 report, themed "Exploring Effective Uses of Generative AI in Education," issued important warnings and guidance on applying AI in schools.

Generative AI: A Support Tool or a Grade Trap?

According to TALIS data, in 2024, 37% of lower secondary teachers used AI in their teaching. This figure shows that AI is no longer a foreign concept but is becoming part of educational reality. However, the OECD report emphasizes that generative AI truly supports the learning process only when guided by clear pedagogical principles.

Without control and direction, AI merely helps students improve assignment results without creating "real learning." More dangerously, when students become accustomed to AI doing things for them, this advantage will completely disappear in exams where technology is not allowed. OECD calls this the risk of "metacognitive laziness"—a state in which learners gradually lose the ability to self-assess, self-regulate, and think critically due to excessive reliance on machines.

Academic Integrity: Teachers' Biggest Concern

Alongside technology adoption, the report also points to a worrying reality: 72% of teachers are expressing concern about academic integrity. When AI can generate essays, solve math problems, or even create an entire presentation in seconds, the line between "learning" and "cheating" becomes thinner than ever.

To address this issue, expert commentators say that AI content-generation tools on learning management systems (LMS) need to be designed so teachers can review them before releasing them to students. Teachers must be in control of content, ensuring that AI only plays the role of a suggestion assistant rather than answering on their behalf. In addition, exam proctoring remains key to ensuring fairness and honesty in competency assessment.

Strapi Vietnam's Perspective

From Strapi Vietnam's perspective, we see that integrating AI into education is not about "letting AI do everything" but about "what to use AI for." A modern LMS needs access control, content traceability, and the ability for teachers to intervene in AI content-generation workflows.

Instead of fearing that AI will replace the teacher's role, we should see this as an opportunity to strengthen pedagogical capacity. Teachers need to be equipped with skills to design interactive, critical-thinking lessons where AI is only a support tool for research or idea generation. Then, students not only learn how to use technology but also learn how to master it, maintaining independent thinking and academic integrity.

Conclusion: Generative AI is a powerful tool, but that power only makes sense when placed within a strict pedagogical framework. The combination of technology, teacher supervision, and student self-discipline will be the key to effectively leveraging AI in education.