Investigate processes of learning and teaching and develop psychological principles and techniques applicable to educational problems.
19 of 19 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Maintain student records, including special education reports, confidential records, records of services provided, and behavioral data.
AI: Fully automatable - Secure information systems and AI tools can reliably organize, update, redact, and maintain student records and logs, subject to institutional access controls and oversight.
Collect and analyze data to evaluate the effectiveness of academic programs and other services, such as behavioral management systems.
AI: Fully automatable - AI can collect, aggregate, and statistically analyze program and behavioral data and produce evidence-based evaluations and visualizations with high reliability.
Compile and interpret students' test results, along with information from teachers and parents, to diagnose conditions and to help assess eligibility for special services.
AI: Partial - AI can compile test results and synthesize multi‑source information to support eligibility assessments, but final diagnosis and eligibility determinations require professional clinical judgment.
Select, administer, and score psychological tests.
AI: Partial - AI can select standardized, evidence‑based instruments and automatically administer/score digital tests, but selection nuance and supervised administration for many assessments still need a trained professional.
Interpret test results and prepare psychological reports for teachers, administrators, and parents.
AI: Partial - AI can draft interpretive reports integrating test data and contextual information, but nuanced clinical interpretation and accountable reporting to stakeholders require human expert review.
Provide consultation to parents, teachers, administrators, and others on topics such as learning styles and behavior modification techniques.
AI: Partial - AI can deliver evidence‑based consultation materials, behavior‑modification plans, and training for common issues, but tailored consultation and implementation support still benefit from human professional judgment.
Counsel children and families to help solve conflicts and problems in learning and adjustment.
AI: Partial - AI can provide supportive counseling, resources, and guided interventions, but effective therapeutic counseling for children and families, especially in complex or high‑risk cases, cannot be fully automated.
Report any pertinent information to the proper authorities in cases of child endangerment, neglect, or abuse.
AI: Partial - AI can flag suspected abuse and draft required reports but cannot assume the legal/ethical responsibility or make the final judgment and mandated report in place of a human professional.
Assess an individual child's needs, limitations, and potential, using observation, review of school records, and consultation with parents and school personnel.
AI: Partial - AI can synthesize observations, records, and input from stakeholders and suggest assessments, but in-person evaluation and nuanced clinical judgment by a psychologist remain necessary.
Promote an understanding of child development and its relationship to learning and behavior.
AI: Partial - AI can generate and deliver educational materials and training on child development, but relationship-building, tailoring to audiences, and persuasive teaching often require human facilitation.
Develop individualized educational plans in collaboration with teachers and other staff members.
AI: Partial - AI can draft individualized education plan (IEP) components and recommend accommodations from data, but legal team-based decision-making and clinical judgment require human collaboration.
Attend workshops, seminars, or professional meetings to remain informed of new developments in school psychology.
AI: Partial - AI can continuously ingest and summarize new research and seminar content, but actual attendance, networking, and professional credentialing activities still require human participation.
Serve as a resource to help families and schools deal with crises, such as separation and loss.
AI: Partial - AI can provide crisis resources, scripts, and triage guidance quickly, but effective crisis intervention and emotional support typically require trained human responders.
Collaborate with other educational professionals to develop teaching strategies and school programs.
AI: Partial - AI can analyze data and propose evidence-based teaching strategies and program designs, yet real-world collaboration, negotiation, and implementation need human professionals.
Refer students and their families to appropriate community agencies for medical, vocational, or social services.
AI: Partial - AI can identify and recommend appropriate community agencies and generate referral materials, but responsibility for referrals and follow-up lies with human practitioners.
Initiate and direct efforts to foster tolerance, understanding, and appreciation of diversity in school communities.
AI: Partial - AI can generate curricula, materials, analytics, and suggestions to foster diversity but cannot fully initiate, lead, and manage the human relationships and institutional leadership required to direct such efforts.
Design classes and programs to meet the needs of special students.
AI: Partial - AI can design individualized lesson plans, accommodations, and program drafts for special students, but final decisions, in-person assessments, and legal/team collaboration require human professionals.
Provide educational programs on topics such as classroom management, teaching strategies, or parenting skills.
AI: Partial - AI can create and deliver standardized educational programs and interactive training online, but nuanced facilitation, in-person adaptation, and community trust-building limit full automation.
Conduct research to generate new knowledge that can be used to address learning and behavior issues.
AI: Partial - AI can handle literature review, data analysis, hypothesis generation, and experiment support, but cannot fully replace human-led study design, ethical oversight, fieldwork, and interpretive judgment.