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What is inside

Artificial intelligence has moved from a research topic to a set of tools institutions are actually deploying, in classrooms, in admissions offices, and in exam evaluation. This presentation surveys where that adoption is happening and what it changes in practice.

What this guide covers

  • Areas of education where AI adoption is currently concentrated: content, assessment and administration
  • Categories of AI tools now available to institutions
  • Questions to ask before adopting an AI tool, including data handling and accuracy limits
  • What changes for teaching staff and administrators once an AI tool is in place

Who it is for

Academic leaders, administrators and edtech decision-makers evaluating where AI tools genuinely reduce workload versus where the case is still unproven.

The presentation treats AI adoption as a set of specific tool categories rather than a single trend, so a reader can judge each use case — content generation, assessment support, administrative automation — on its own merits before deciding where to pilot it.

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