Adult Basic and Secondary Education and Literacy Teachers and Instructors

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

AI: Fully automatable - AI tools can reliably create clear, standards-aligned lesson/unit objectives and communicate them through syllabi, LMS messages, or slide/text materials without human limitation.

Maintain accurate and complete student records as required by laws or administrative policies.

AI: Fully automatable - Recordkeeping, data entry, and compliance-related student records are routine and structured tasks that AI can fully automate, validate, and maintain when integrated with school systems.

Provide information, guidance, and preparation for the General Equivalency Diploma (GED) examination.

AI: Fully automatable - By 2025 AI can generate tailored study plans, practice tests, explain GED concepts, and provide iterative feedback and simulated exam experiences that effectively prepare most learners.

Prepare for assigned classes and show written evidence of preparation upon request of immediate supervisors.

AI: Fully automatable - AI can reliably generate lesson plans, materials, and written evidence of preparation aligned to curricula on demand.

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

AI: Fully automatable - AI systems can create, control, and integrate computer and audio‑visual content and tools to supplement presentations autonomously.

Prepare objectives and outlines for courses of study, following curriculum guidelines or requirements of states and schools.

AI: Fully automatable - AI can produce course objectives and structured outlines that conform to state and school curriculum guidelines with high reliability.

Prepare reports on students and activities as required by administration.

AI: Fully automatable - AI can aggregate student data and administrative inputs to generate required reports automatically and consistently.

Register, orient, and assess new students according to standards and procedures.

AI: Fully automatable - AI can fully automate registration workflows, deliver standardized orientation materials, and administer/score placement assessments according to established procedures.

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

AI: Fully automatable - AI can recommend, order, track, and distribute books and supplies and manage inventory and procurement workflows in alignment with course needs.

Advise students on internships, prospective employers, and job placement services.

AI: Fully automatable - AI can assess student profiles, recommend internships and employers, optimize resumes and interview prep, and point to placement resources, providing comprehensive advisory support.

Write grants to obtain program funding.

AI: Fully automatable - AI can research funders, craft persuasive narratives aligned to grant guidelines, produce budget narratives and application materials, yielding complete draft proposals ready for human review.

Write instructional articles on designated subjects.

AI: Fully automatable - AI can author clear, audience‑appropriate instructional articles on designated subjects, incorporating pedagogy, examples, and revision cycles to meet publishing standards.

Observe and evaluate students' work to determine progress and make suggestions for improvement.

AI: Partial - AI can analyze student work, track progress over time, and provide targeted improvement suggestions, but it struggles with interpreting subtle qualitative factors and context that a human evaluator provides.

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

AI: Partial - AI can infer abilities, limitations, and interests from assessment data and interaction patterns, yet it cannot fully replicate in-person observation of nonverbal cues, motivation, or complex social dynamics.

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

AI: Partial - Adaptive learning systems can tailor materials and methods to many learners' needs and preferences, but full adaptation in diverse, real-world classroom contexts including socioemotional and hands-on adjustments still requires human judgment.

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

AI: Partial - AI can recommend pathways, resources, and motivational supports to prepare students for further education, but sustained encouragement and nuanced mentorship are not fully automatable.

Prepare materials and classrooms for class activities.

AI: Partial - AI can create lesson materials, checklists, and schedules to prepare classes, but it cannot perform physical classroom setup or manage on-site logistics without human or robotic intervention.

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

AI: Partial - AI can deliver lectures, run tutorials, and support group discussion facilitation virtually, yet leading dynamic in-person group instruction and hands-on demonstrations still benefits from human teachers.

Assign and grade class work and homework.

AI: Partial - AI can generate and automatically grade many types of assignments (multiple-choice, coding, structured responses) and suggest or auto-create assignments, but human review is still needed for nuanced or creative work and to ensure fairness and alignment.

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 instructional activities and provide structured sequences that encourage inquiry, but conducting and adapting hands-on, in-person investigative activities in real time remains partially human-dependent.

Conduct classes, workshops, and demonstrations to teach principles, techniques, or methods in subjects, such as basic English language skills, life skills, and workforce entry skills.

AI: Partial - AI can deliver instructional content, generate materials, and run interactive online lessons, but cannot fully replicate in-person facilitation, real-time classroom dynamics, and nuanced socio-emotional responsiveness.

Establish and enforce rules for behavior and procedures for maintaining order among the students for whom they are responsible.

AI: Partial - AI can suggest rules, monitor behavior via sensors/analytics, and support enforcement workflows, but cannot fully assume authority or handle complex, context-dependent discipline decisions and legal/ethical responsibilities.

Provide disabled students with assistive devices, supportive technology, and assistance accessing facilities, such as restrooms.

AI: Partial - AI can provision and configure assistive technologies and manage accessibility logistics, but cannot perform hands-on personal care or physically assist students in facilities.

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

AI: Partial - AI can create and auto-grade many written and some oral assessments and assist with rubric-based scoring, but struggles with nuanced performance assessments and high-stakes subjective grading without human oversight.

Prepare and implement remedial programs for students requiring extra help.

AI: Partial - AI can design personalized remedial programs and deliver adaptive tutoring at scale, yet implementation for complex learner needs and motivational/relational support still requires human involvement.

Enforce administration policies and rules governing students.

AI: Partial - AI can help enforce administrative policies by automating notifications and tracking compliance, but cannot fully carry out enforcement actions or handle sensitive judgment calls.

Select and schedule class times to ensure maximum attendance.

AI: Partial - AI can analyze attendance data and preferences to recommend optimal schedules but cannot fully account for unpredictable human behaviors, local constraints, and stakeholder negotiations without human oversight.

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

AI: Partial - AI can analyze instructional content, methods, and evaluations and propose revisions, but final curriculum decisions and nuanced pedagogical judgment remain human responsibilities.

Train and assist tutors and community literacy volunteers.

AI: Partial - AI can produce training curricula, coaching scripts, and role‑play simulations for tutors and volunteers but cannot fully replace human mentorship, in‑person demonstration, and relationship management.

Collaborate with other teachers and professionals in the development of instructional programs.

AI: Partial - AI can generate curriculum drafts, resources, and coordinate inputs but cannot fully replicate human professional judgment and collaborative consensus-building in program development.

Attend staff meetings and serve on committees, as required.

AI: Partial - AI can attend virtually, prepare agendas and minutes, and contribute data-driven recommendations, but cannot fully assume the human accountability and nuanced roles expected on committees.

Meet with other professionals to discuss individual students' needs and progress.

AI: Partial - AI can assemble and present student data and suggested interventions, yet confidential, contextual discussions and final decisions about individual students still require human professionals.

Guide and counsel students with adjustment or academic problems or special academic interests.

AI: Partial - AI can provide academic guidance, diagnostics, and resources and flag adjustment concerns, but cannot fully replace human counseling, empathy, and legally accountable interventions.

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

AI: Partial - AI can identify relevant professional development, summarize content, and participate in virtual sessions, but cannot fully reproduce the networking and experiential benefits of in-person attendance.

Confer with other staff members to plan and schedule lessons that promote learning, following approved curricula.

AI: Partial - AI can generate lesson plans and optimized schedules that follow approved curricula, but collaborative planning and pedagogical judgment still require human input.

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, risk assessments, and learning objectives for experiential activities, but on-site supervision and adaptive student guidance remain human responsibilities.

Observe and evaluate the performance of other instructors.

AI: Partial - AI can review recorded lessons, apply rubrics, and flag strengths or weaknesses, yet lacks complete contextual, interpersonal, and situational judgment that human evaluators provide.

Confer with leaders of government and community groups to coordinate student training or to find opportunities for students to fulfill curriculum requirements.

AI: Partial - AI can identify potential partners, draft outreach and coordination plans, and suggest program alignments, but real-world negotiation and trust‑based relationship building require human engagement.

Participate in publicity planning, community awareness efforts, and student recruitment.

AI: Partial - AI can design publicity materials, target messaging, and recommend recruitment strategies, but executing community outreach and building local awareness still needs human presence and adaptation.