Industry application

AI Agents in Education and Skills: Use Cases and Implementation

A student who appears disengaged may face an academic, administrative, financial or wellbeing barrier. A simple risk score can trigger the wrong intervention and reduce trust.

Disengagement can signal several different learner barriers

A student who appears disengaged may face an academic, administrative, financial or wellbeing barrier. A simple risk score can trigger the wrong intervention and reduce trust.

Use an agent to coordinate support, not label the learner

An agent could assemble permitted evidence, distinguish likely barriers, offer approved resources, arrange a suitable appointment and escalate safeguarding or academic judgements to qualified staff. The agent is justified only when new evidence changes the suitable support route. It can combine permitted attendance, timetable and appointment information, then offer approved choices. It should not infer a diagnosis, motivation or protected characteristic from a pattern that has several plausible explanations.

A missed appointment after a timetable change

A learner's attendance falls after a timetable change, while grades remain stable and a support appointment was missed. The agent should assemble the permitted evidence and offer an appropriate support route without labelling the learner or making an academic judgement.

Protect academic judgement and learner agency

The decision depends on attendance, assessment, learning activity, student support, employer feedback, programme outcomes and equity measures. The support record should show which information the learner supplied, which institutional records were accessed and why an option was offered. Admissions, grading, discipline, safeguarding and special-support decisions belong to qualified staff. The learner must be able to decline the automated route and reach a person.

Test ambiguous and sensitive support cases

Include missing attendance, stable grades, language needs, financial difficulty, conflicting appointments and a safeguarding indicator. Review whether the agent chooses a proportionate route, preserves privacy and escalates the sensitive case without making its own judgement. Compare outcomes across learner groups to detect unequal access or correction.

Release a voluntary coordination role first

Begin with voluntary support coordination for one programme. Test missing and conflicting evidence, language needs and safeguarding escalation. Measure resolved barriers, staff correction, trust and differences across learner groups. Begin with voluntary appointment and resource coordination for one programme. Management should define the support options, data access, urgent escalation and human owner before the agent contacts a learner or changes a booking.

Judge the agent by resolved barriers and equitable access

Measure resolved barriers, time to appropriate support, staff correction, repeated contact, learner trust and differences across groups. Progression may provide later context, but it should not become a simplistic score of whether the intervention worked. Marketways connects Customer Satisfaction and Experience Research with education and skills.

The review should examine what happens after the appointment or resource referral. A completed booking is not a resolved barrier if the learner cannot attend, receives an unsuitable service or must repeat the same explanation to the next member of staff.

References

  1. UNESCO, AI and education: Protecting the rights of learners
  2. NIST AI Risk Management Framework