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The Influence of Tool Selection on AI Strategy
In many cases, the choice of AI tools inadvertently shapes an institution's overall approach to AI implementation (See image for the 4 types of AI currently being used in schools). Here's a generalised overview of common approaches and their associated tools:
- Skills-Based Approach: Focusing on Large Language Models (LLMs) cultivates AI literacy and skills development among staff. This approach prioritises building a workforce capable of navigating the evolving AI landscape.
- Task-Based Approach: Utilising "wrapper" tools streamlines specific tasks, enhancing individual staff efficiency. This approach focuses on immediate productivity gains.
- Process-Based Approach: Implementing bespoke AI platforms automates broader school functions, leading to a process-driven operational model. This approach aims to optimise workflows and improve institutional efficiency.
- Systems-Based Approach: Developing the underlying AI and data infrastructure prepares the institution for future AI advancements. This approach emphasises long-term adaptability and scalability
Moving Towards a Comprehensive AI Strategy
As our understanding of AI deepens, it's crucial to move beyond a narrow, tool-centric perspective and adopt a more deliberate and proactive approach. While many discussions still revolve around basic task automation, particularly in lesson planning, we must be more ambitious.
The Need for a Policy-Based Approach
A comprehensive "Policy-Based Approach" to AI integration is essential. This approach encompasses elements of all the aforementioned strategies (skills, tasks, processes, and systems) and addresses broader systemic changes required within the education sector. It necessitates a critical examination of digital infrastructure, curriculum design, and examination methods to ensure they are aligned with the transformative potential of AI.
We are no longer simply implementing individual applications; we are integrating intelligence across all facets of educational organisations and systems. This fundamental shift demands a new, strategic approach to AI implementation that prioritises long-term vision, adaptability, and systemic change. A policy-based framework, encompassing skills development, task optimisation, process automation, and infrastructure development, is vital to ensure that AI's transformative potential is fully realised within the education sector.
