Instructional coordinators

Analyze students' test data to assess curriculum effectiveness

AI excels at analyzing structured test data, identifying performance patterns across demographics and standards, generating statistical reports, and flagging curriculum gaps—tasks that are already heavily automated in educational analytics platforms with minimal human review needed.

BLS evidence: Instructional coordinators analyze students' test data and evaluate student test data and teaching strategies to recommend improvements.

Review and recommend textbooks and other educational materials

AI can review textbooks against standards alignment, reading level, bias indicators, and pedagogical research, then generate comparative analyses and recommendations—structured evaluation tasks well-suited to current AI capabilities with human spot-checking of final selections.

BLS evidence: Instructional coordinators review and suggest textbooks and other educational materials.

Develop procedures for teachers to implement curriculum

AI can generate detailed implementation procedures, pacing guides, lesson plan templates, and assessment protocols from curriculum documents and best practices—structured documentation tasks where AI produces high-quality drafts requiring only teacher review for practical feasibility.

BLS evidence: Instructional coordinators develop procedures for teachers to implement a curriculum.

Recommend teaching techniques and use of new technologies

AI can analyze educational research, match teaching techniques to learning objectives, identify relevant technologies, and generate detailed recommendations with evidence—tasks that require synthesis of large knowledge bases where AI already performs well with light human review for context-appropriateness.

BLS evidence: Instructional coordinators recommend teaching techniques and the use of different or new technologies and demonstrate effective teaching methods.

Develop and implement school curriculums and educational programs

AI can generate curriculum frameworks, learning objectives, and scope-and-sequence documents from standards and research, but developing implementable programs requires deep understanding of local context, stakeholder buy-in, and iterative human judgment about what will work in specific school environments.

BLS evidence: Instructional coordinators oversee school curriculums and teaching standards, and they develop and implement the curriculums.

Train teachers in new content, programs, and teaching methods

AI can create training modules, video tutorials, and practice scenarios for new content and methods, but effective teacher training requires demonstrating techniques in person, providing real-time feedback on practice attempts, and adapting to individual teacher learning needs during implementation.

BLS evidence: Instructional coordinators train teachers and other instructional staff in new content or programs and explain new learning standards to teachers.

Assess and discuss curriculum standards with school staff

While AI can summarize curriculum standards and generate discussion guides, productive assessment discussions require facilitating live conversations, navigating staff politics, building consensus among diverse viewpoints, and reading social dynamics—skills requiring human presence and emotional intelligence.

BLS evidence: Instructional coordinators assess and discuss the curriculum standards with school staff and discuss the curriculum with the school staff.

Plan, organize, and conduct teacher training, conferences, or workshops

AI can draft agendas, create presentation materials, and suggest activities, but planning effective professional development requires reading participant needs in real-time, facilitating group dynamics, and conducting live workshops where physical presence and human facilitation skills are essential.

BLS evidence: Instructional coordinators plan, organize, and conduct teacher training, conferences, or workshops and may conduct training for teachers related to teaching or technology.

Evaluate effectiveness of curriculums and teaching techniques through classroom observation

While AI can analyze video recordings of classrooms for surface features (time-on-task, question types), evaluating teaching effectiveness requires physical presence to read room dynamics, student engagement nuances, and real-time instructional decisions that current AI cannot reliably assess from remote observation.

BLS evidence: Instructional coordinators evaluate the effectiveness of curriculums and teaching techniques, observe teachers in the classroom, and review student test data.

Mentor or coach teachers to improve their teaching skills

Mentoring and coaching require building trust relationships, observing teaching in person, providing nuanced feedback on interpersonal classroom dynamics, and supporting teachers through emotional challenges—all requiring sustained human presence and judgment that AI cannot replicate.

BLS evidence: Instructional coordinators mentor or coach teachers to improve their skills and serve as mentors to teachers.