Instructional Coordinators

Instructional coordinators do many planning and teaching-related tasks. Some parts are easy for AI tools, but most still need a human touch. For example, AI writing tools (like ChatGPT) can help draft or polish texts for grant proposals or course materials, but a coordinator still decides budgets, priorities, and policies ^{[1] [1]}.

In a recent workshop, teachers saw AI instantly grade assignments and even turn a lesson plan into a podcast or storybook ^[2] – things that can save time on routine work. However, core duties like updating curriculum, advising teachers and students, or leading committee discussions require judgment and personal knowledge ^{[1] [2]}. In other words, AI today augments coordinators (e.g. suggesting content or analyzing data) but doesn’t fully replace them.

Tasks involving creativity, understanding students’ needs, or collaborating with committees still rely on human skills.

AI tools are widely available and cheap (many are free online), so schools can try them without huge investment ^[2]. In fact, big tech companies are funding AI training for educators ^[2]. For example, Microsoft, OpenAI and others have given millions to teachers’ unions to train U.S. teachers on AI ^[2].

This kind of support speeds adoption. On the other hand, many schools move slowly because budgets and rules are tight. Teachers worry about student privacy, fairness, or even being replaced.

One teacher at an AI workshop asked, “Are we going to be replaced with AI?” ^[2]. Union agreements insist educators design how AI is used and stress privacy and safety ^[2]. In summary, adoption is steady but careful: AI promises efficiency and help with routine tasks, but schools balance that with training, rules, and the need for human expertise.

As a result, coordinators are more likely to use AI as a helpful tool than to be replaced by it, leaving human skills like leadership, empathy, and creativity still very important.