Self-Enrichment Education Teachers

Monitor students' performance to make suggestions for improvement and to ensure that they satisfy course standards, training requirements, and objectives.

AI: Fully automatable - AI can aggregate assessment data, detect learning gaps, generate individualized improvement plans, and track standards compliance in many instructional settings to provide actionable monitoring and suggestions.

Maintain accurate and complete student records as required by administrative policy.

AI: Fully automatable - Maintaining accurate student records is largely data-management work that modern AI-driven systems can automate reliably given access and proper integrations.

Schedule class times to ensure maximum attendance.

AI: Fully automatable - Scheduling to maximize attendance is a constrained optimization problem that AI tools can solve end-to-end given relevant availability and historical attendance data.

Adapt teaching methods and instructional materials to meet students' varying needs and interests.

AI: Fully automatable - AI systems already personalize content and adapt materials dynamically to learners' responses and profiles, enabling broad adaptation of methods and materials to diverse needs and interests.

Establish clear objectives for all lessons, units, and projects and communicate those objectives to students.

AI: Fully automatable - AI can reliably generate clear lesson and unit objectives and communicate them to learners in multiple formats.

Prepare instructional program objectives, outlines, and lesson plans.

AI: Fully automatable - AI can efficiently prepare instructional objectives, outlines, and detailed lesson plans tailored to curricula and learner profiles.

Review instructional content, methods, and student evaluations to assess strengths and weaknesses, and to develop recommendations for course revision, development, or elimination.

AI: Fully automatable - AI can review content, analyze methods and evaluation data at scale, and produce evidence-based recommendations for course revision or elimination.

Select, order, and issue books, materials, and supplies for courses or projects.

AI: Fully automatable - AI can analyze curricula, inventories, budgets, and supplier options and use procurement integrations to select, order, and issue required materials with minimal human input.

Use computers, audio-visual aids, and other equipment and materials to supplement presentations.

AI: Fully automatable - AI can create and control digital presentations, generate multimedia content, and manage AV equipment through integrations, enabling fully automated supplementation of presentations.

Write instructional articles on designated subjects.

AI: Fully automatable - AI can generate well-structured, accurate instructional articles on designated subjects from prompts and source materials, enabling full automation of the writing task.

Instruct students individually and in groups, using various teaching methods, such as lectures, discussions, and demonstrations.

AI: Partial - AI can generate and deliver lectures, run discussions, and provide demonstrations remotely or virtually, but cannot fully replicate real-world, multimodal physical teaching and in-person classroom dynamics as of 2025.

Enforce policies and rules governing students.

AI: Partial - AI can assist with monitoring, flagging, and recommending enforcement actions, but cannot fully perform human judgment, authoritative intervention, or manage complex disciplinary situations on its own.

Instruct and monitor students in the use and care of equipment and materials to prevent injury and damage.

AI: Partial - AI can provide instructions, safety guidance, and remote monitoring support, but cannot reliably perform in-person supervision or intervene to prevent physical injury or equipment damage.

Observe students to determine qualifications, limitations, abilities, interests, and other individual characteristics.

AI: Partial - AI can analyze performance data, assessments, and video cues to estimate abilities and interests, but lacks the full contextual and empathic judgment humans use to assess nuanced individual characteristics.

Conduct classes, workshops, and demonstrations, and provide individual instruction to teach topics and skills, such as cooking, dancing, writing, physical fitness, photography, personal finance, and flying.

AI: Partial - AI can conduct classes and provide strong individual instruction for cognitive or simulated skills (e.g., writing, finance, photography), but cannot fully teach or safely supervise many hands-on, physical, or safety-critical skills (e.g., flying, in-person dance or complex cooking) in all contexts.

Assign and grade class work and homework.

AI: Partial - AI can generate assignments and auto-grade many objective tasks and provide rubric-based scoring for essays, but nuanced, high-stakes, and formative grading still requires human judgment and oversight.

Prepare and administer written, oral, and performance tests, and issue grades in accordance with performance.

AI: Partial - AI can create tests, run online administrations, proctor, and auto-score many formats, but reliably assessing oral and complex performance tasks and assigning final grades often needs human evaluation.

Plan and conduct activities for a balanced program of instruction, demonstration, and work time that provides students with opportunities to observe, question, and investigate.

AI: Partial - AI can plan balanced programs and facilitate many instructional and investigative activities virtually, but conducting hands-on demonstrations and managing in-person work time across varied settings remains only partially automatable.

Prepare students for further development by encouraging them to explore learning opportunities and to persevere with challenging tasks.

AI: Partial - AI can encourage exploration, provide resources, and use nudges to promote persistence, but it cannot fully replace human mentorship and the motivational support teachers provide in complex real-world contexts.

Organize and supervise games and other recreational activities to promote physical, mental, and social development.

AI: Partial - AI can design and coordinate recreational activities and run virtual or structured games, but cannot fully replicate the real-time physical supervision and social facilitation of in-person activities.

Prepare materials and classrooms for class activities.

AI: Partial - AI can generate materials, lesson plans, and checklists and provide printables and instructions, but cannot physically set up a classroom or arrange tangible items.

Meet with parents and guardians to discuss their children's progress and to determine their priorities for their children.

AI: Partial - AI can prepare reports, propose talking points, and even conduct informational chats, yet meaningful parent-guardian meetings that require empathy, negotiation, and trust-building remain largely human-led.

Prepare and implement remedial programs for students requiring extra help.

AI: Partial - AI can diagnose learning gaps, produce personalized remedial plans, and deliver tutoring support, but full implementation and adaptation for complex learning needs typically require human teacher involvement.

Participate in publicity planning and student recruitment.

AI: Partial - AI can design publicity campaigns, generate content, and automate outreach and lead-generation, but cannot fully replicate human relationship-building and local recruitment nuance.

Confer with other teachers and professionals to plan and schedule lessons promoting learning and development.

AI: Partial - AI can propose coordinated lesson plans and schedules and summarize trade-offs, but cannot fully replace live professional negotiation, consensus-building, and contextual judgment among teachers.

Plan and supervise class projects, field trips, visits by guest speakers, contests, or other experiential activities, and guide students in learning from those activities.

AI: Partial - AI can plan logistics, suggest activities, and create learning materials, but cannot reliably supervise in-person activities or manage real-time student safety and complex social dynamics.

Meet with other instructors to discuss individual students and their progress.

AI: Partial - AI can compile student data, generate progress summaries and talking points, but cannot fully replicate the human-to-human discussion, confidentiality judgments, and interpersonal nuances in meetings.

Attend professional meetings, conferences, and workshops to maintain and improve professional competence.

AI: Partial - AI can synthesize research, summarize conference content, and recommend workshops, but cannot fully replace the human networking, live participation, and reflective professional judgment from attending in person.

Observe and evaluate the performance of other instructors.

AI: Partial - AI can analyze classroom recordings and provide rubric-based evaluations and feedback, yet nuanced professional judgment, context interpretation, and mentorship still require human evaluators.

Attend staff meetings and serve on committees, as required.

AI: Partial - AI can attend meetings virtually to transcribe, summarize, and propose actions, but cannot meaningfully serve on committees where human accountability and institutional decision-making are required.