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General policy Current version

Artificial Intelligence Policy

How AI is used responsibly in TTT teaching, assessment and operations.

Version

1.0

Effective date

01/10/2026

Next review

01/10/2027

Approved by

Phenil Mehta, Centre Manager

Applies to

All learners, staff, associates, resellers and suppliers using AI in connection with TTT

Throughout this document, The Teacher Trainer Ltd is referred to as TTT.

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  • Who it is for: all learners and everyone who designs, delivers or marks TTT courses.
  • TTT uses AI tools to help produce materials and support marking, but a qualified human assessor stays accountable for every assessment decision.
  • You may use AI to help you learn, but the work you submit must be your own words and thinking.
  • If we suspect unacknowledged AI use, we first ask you to redo the work in your own words. Serious or repeated cases go to the Learner Sanctions Policy.
  • Read alongside the Plagiarism and Academic Integrity Policy.

The full policy below is the official version.

1. Purpose

This policy sets out how TTT uses Artificial Intelligence (AI) in the design, delivery and assessment of its courses and how learners may and may not use AI in their own work. It supports academic integrity, learner success and compliance with the principles of Ofqual, the JCQ AI guidance and each Awarding Organisation with which TTT is registered. It acknowledges that AI is now part of most learners' professional and personal lives and sets out how to use it responsibly.

2. Scope

This policy applies to:

  • All learners enrolled on TTT qualifications and short courses
  • Staff, associates and suppliers using AI in the production of TTT content, marking, feedback or operations
  • Any AI tool used in an Online Learning Environment or on TTT systems

3. Definitions

The following terms carry the meanings given throughout this policy.

Artificial Intelligence (AI)MeaningAny computer system that performs tasks that would typically require human intelligence, including large language models, image generators, transcription tools and AI-assisted marking software.
Generative AIMeaningAI that produces new content, including text, images, audio, video or code.
Permitted UseMeaningA use of AI that TTT allows in a given task, where the learner discloses the use and retains intellectual ownership of the output.
Prohibited UseMeaningA use of AI that TTT does not allow, typically because it undermines the purpose of the assessment or the integrity of the evidence.
AI DisclosureMeaningA clear statement from the learner describing what AI was used, for what purpose and how the output was adapted and verified.
AI-Assisted MarkingMeaningThe use of AI tools by TTT to support (not replace) assessor marking and feedback.

4. Policy Statement

TTT is committed to the following principles and commitments.

  1. 1AI can be a valuable aid to learning and professional practice; it is not a substitute for the learner's own understanding, reflection and evidence.
  2. 2Every piece of assessment evidence must authentically represent the learner's own work. AI-generated material presented as the learner's own work is malpractice.
  3. 3Where AI is used in the production of assessment work, the learner discloses that use clearly and honestly.
  4. 4TTT may use AI tools to support marking, feedback, quality assurance or operations. Where TTT does so, a qualified human assessor remains accountable for every assessment decision.
  5. 5Where AI tools process personal data, the use is risk-assessed and a DPIA is carried out where the threshold under the Data Protection and GDPR Policy is met.
  6. 6TTT does not make significant decisions about learners solely by automated means.
  7. 7Learners retain the right to appeal any outcome affected by AI use under the Appeals Policy.
  8. 8This policy is reviewed at least annually and updated when Ofqual, JCQ, Awarding Organisation or ICO guidance changes.

5. Roles and Responsibilities

RoleResponsibility
Centre Manager (Phenil Mehta)ResponsibilityOverall accountability; authorises AI tools used in delivery, marking and operations; monitors JCQ, Ofqual and Awarding Organisation guidance; reviews this policy annually.
Course Tutors, Assessors and IQAsResponsibilityExplain permitted and prohibited uses of AI for each task; check work for AI use indicators; sign off final decisions; flag suspected malpractice.
Course CoordinatorResponsibilityMaintains the AI Disclosure log; schedules training on responsible AI use; supports tools and access.
LearnersResponsibilityUse AI within the permitted scope; disclose any AI assistance; verify accuracy of outputs; submit work that authentically represents their own knowledge and skills.
SuppliersResponsibilityWhere AI tools process TTT data, operate under a UK GDPR-compliant contract; provide transparency on how the tool works; notify breaches.

6. Permitted Use of AI by Learners

Unless a specific task prohibits AI, the following uses are generally permitted, subject to disclosure:

  • Brainstorming initial ideas or exploring a topic
  • Generating a question to research further through authoritative sources
  • Summarising or explaining a concept the learner is trying to understand
  • Proofreading or reviewing the learner's own drafted work for grammar or clarity
  • Accessibility support, such as text-to-speech, speech-to-text, caption generation or translation, as a reasonable adjustment under the Accessibility, Reasonable Adjustments and Special Considerations Policy
  • Converting the learner's own work between formats (for example, notes into a presentation outline that the learner then develops)

7. Prohibited Use of AI by Learners

The following uses undermine assessment integrity and are prohibited.

  • Submitting AI-generated text, image, audio, video or code as the learner's own work without substantial adaptation and without disclosure
  • Using AI to generate the reflective parts of an assessment (for example, a reflective account or self-evaluation), which must be the learner's own lived perspective
  • Using AI to fabricate evidence, witness statements, observation records or data
  • Bypassing an observed assessment or examination through AI, including the use of AI in an online proctored exam unless the Awarding Organisation expressly permits it
  • Using AI to translate assessment evidence where the qualification requires the learner to demonstrate competence in English
  • Using AI to generate Harvard references that cannot be verified
  • Sharing TTT course materials or other learners' work with an AI service in a way that breaches intellectual property or data protection
  • Using AI on behalf of another learner or allowing another person to use AI on the learner's behalf

8. AI Disclosure

Where AI is used in the production of assessment work, the learner includes a short disclosure statement at the end of the work, covering:

  • Which AI tool was used (for example, ChatGPT, Copilot, Gemini, Claude, etc.)
  • What it was used for (for example, brainstorming initial ideas, suggesting a structure, proofreading)
  • Which parts of the final submission are the learner's own work
  • How the learner verified any facts or references

Non-disclosure of AI use is malpractice, even where the underlying use would have been permitted. Full and honest disclosure is protective and is the right thing to do.

9. TTT's Use of AI in Delivery and Assessment

  • TTT may use AI to draft, refine or translate course materials, with a qualified human reviewer signing off the content before publication
  • TTT may use AI to support marking, generate feedback suggestions or check for possible AI-generated content; the qualified Course Assessor makes and owns the assessment decision
  • AI tools used with TTT data are assessed for UK GDPR compliance; a DPIA is carried out where processing is likely to result in a high risk under the Data Protection and GDPR Policy
  • AI tools are not permitted to ingest TTT course materials into public training data; TTT uses enterprise or privacy-respecting settings where available
  • TTT's use of AI in a learner's assessment is disclosed to the learner in the Course Terms and Conditions and in this policy

10. Detecting AI-Generated Work

Course Assessors are trained to recognise potential indicators of AI use, including sudden changes in style or register, generic or surface-level reasoning, untraceable references, inconsistency with earlier work from the same learner or absence of personal reflection where the task calls for it. Where AI use is suspected:

  1. 1The Course Assessor informs the learner in writing of the specific concern and invites the learner to redo the affected work in their own words and resubmit by an agreed deadline. In the great majority of cases the matter is resolved at this stage; no formal sanction is applied and the matter is not recorded as malpractice.
  2. 2Where the learner disagrees with the assessor's judgement and wishes to defend the original submission, the Course Assessor records specific concerns and raises them with the IQA. The learner is invited to a discussion, typically including a viva-style professional discussion, to demonstrate ownership of the submitted work.
  3. 3Where the discussion does not resolve the concern, the case is investigated under the Malpractice and Maladministration Policy.

AI-detection software is used only as a supporting indicator, never as the sole basis for a malpractice finding. False positives are known; the assessor's professional judgement and the learner's opportunity to explain remain central.

11. Sanctions

Upheld AI-related malpractice is sanctioned under the Learner Sanctions Policy. Outcomes range from developmental feedback and supervised resubmission for first, low-impact breaches to revocation of a grade or unit outcome, temporary suspension or permanent exclusion and Awarding Organisation notification for serious or repeated breaches. Contract cheating involving AI, including commissioning a third party to use AI on the learner's behalf, is treated with the highest severity under the Skills and Post-16 Education Act 2022.

12. Accessibility and Fairness

13. Data Protection, Confidentiality and Copyright

  • Learners do not submit another person's personal data, confidential workplace information or safeguarding-sensitive detail into an AI tool without authorisation
  • TTT staff do not paste learner personal data, assessment evidence or draft correspondence into public AI tools; TTT-approved enterprise tools are used for operational AI tasks
  • Content generated by AI in response to copyrighted inputs is handled carefully; outputs used by TTT are reviewed for copyright and licensing

14. Training

AudienceContentFrequency
LearnersContentPermitted and prohibited use; disclosure; responsible use for their professionFrequencyAt induction and refreshed in-course – Self-study module
Course Assessors and IQAsContentRecognising AI indicators; conducting professional discussion; limitations of AI-detection toolsFrequencyInduction and annual
Content and operations staffContentResponsible use of AI in content, marking, feedback and operations; data protectionFrequencyAnnual

15. Monitoring and Review

This policy is reviewed annually by the Centre Manager as part of TTT's self-evaluation process. Interim reviews are triggered by Ofqual, JCQ, ICO or Awarding Organisation guidance changes, significant incidents or adoption of a new AI tool. All outcomes are recorded in the Version History at Section 17.

16. Related Policies

This policy should be read alongside:

17. Version History

VersionDateAuthorSummary of Changes
1.0Date02/10/2026AuthorPhenil MehtaSummary of ChangesA new standalone policy aligned with JCQ AI guidance and Ofqual expectations, covering permitted and prohibited AI use, AI Disclosure, TTT's own use of AI in delivery and marking, detection, sanctions, accessibility and data protection.

18. Approval

This policy has been reviewed and approved by the Centre Manager of TTT.

Name

Phenil Mehta

Signature

P Mehta

Date

01/10/2026

© 2026 The Teacher Trainer Ltd

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