The AI Impact Timeline: What to Expect
The impact of AI on secondary school teachers is segmented and evolving. While specific dates for early, mid, and late waves are not provided, the general trend indicates a significant integration of AI into educational tasks. The vulnerability score of 0/100 suggests a perception of low immediate risk, but the executive summary highlights the potential for substantial task automation.
The early stages of AI integration will likely focus on automating routine instructional tasks. Tools like Gradescope for automated grading and Turnitin for AI writing detection are already proving efficient. ChatGPT-based lesson planning assistants are also emerging, offering support in curriculum development and preparation.
As AI technology advances, the mid-to-late stages will see a deeper transformation. The development of sophisticated AI tutoring systems capable of delivering substantial content to high school students (ages 14-18) presents a unique vulnerability, as this aspect of teaching becomes increasingly automatable.