← Part of the Feedback Flows toolkit

Learner profiles

AI progress reports with full learner history in one place

Marking history, integrity summaries, writing fingerprints, calendar notes and AI progress reports live on a single profile — so the next conversation starts from evidence. Built for UK schools, FE colleges and training providers that want AI progress reports with human review, clear exports and evidence trails that fit existing quality processes.

  • Full marking history
  • Integrity summary in one view
  • AI progress reports
  • Shareable for reviews
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Learner profile with progress over several assignments
Progress and history on the student profile
AI-generated progress report
Why it matters

Stop hunting across jobs for the same student

Every mark, detection run and fingerprint comparison can feed the same learner record. Profiles give teachers and pastoral leads a single place to prepare interventions and parents' evenings without opening five different job results.

Generate AI progress reports over a date range to summarise strengths, recurring weaknesses and trajectory. Export marking history or email selected results when authorised. Launch Targeted Worksheets or Learner Packs from the same page when the conversation needs a next step.

Generate AI progress reports for a clear date range before parents' evenings or progress reviews. Combine the narrative with the integrity strip so sensitive context is not forgotten. Launch Targeted Worksheets or Learner Packs from the same page when the conversation needs a concrete next step.

Before a difficult conversation, open marks, integrity and the latest AI progress reports together. One screen reduces surprise and keeps the discussion evidence-led. Write a one-page local policy for AI progress reports: which assessments qualify, who reviews drafts, how long files are retained, and how learners receive feedback. Clear policy keeps staff confident and makes procurement or inspection conversations easier.

Who uses it

Where AI progress reports fits

Secondary schools

Prepare parents' evenings with AI progress reports and recent marks on one screen. Review a sample of outputs together the first time you introduce AI progress reports, then agree override norms.

Further education

Give tutors a full evidence trail before progress reviews. Review a sample of outputs together the first time you introduce AI progress reports, then agree override norms.

Independent training providers

Support assessor and IQA conversations from a single learner record. Review a sample of outputs together the first time you introduce AI progress reports, then agree override norms.

Higher education

Help personal tutors summarise module performance across assignments. Review a sample of outputs together the first time you introduce AI progress reports, then agree override norms.

Worked example

Parents' evening — Year 8 English

The teacher opens the profile, reviews three marked essays and an integrity note, then generates AI progress reports for the half-term date range. They print the narrative, highlight two strengths and one next step, and set a Targeted Worksheet before the meeting ends. Afterwards they note scheme or template tweaks so the next run needs fewer overrides, and they file exports with the usual AI progress reports moderation pack.
Compared

By hand vs with learner profiles and progress reports

Aspect Manual With Feedback Flows
Finding evidence Hunt across emails and markbooks when deadlines are tight and staffing is thin One profile with full marking history with teacher review and an export trail before release
Narrative prep Write summaries from scratch each time when deadlines are tight and staffing is thin AI progress reports over a date range with teacher review and an export trail before release
Integrity context Separate tools and folders when deadlines are tight and staffing is thin Integrity strip beside academic history with teacher review and an export trail before release
Next steps Promise follow-up that never materialises when deadlines are tight and staffing is thin Launch worksheets or packs from the profile with teacher review and an export trail before release
How it works

Open the profile and act

Find the learner

Students list, class roster or Reporting Hub. Check names and classes carefully so history lands on the right learner.

Review history

Marks, integrity and fingerprint charts on one page. Check names and classes carefully so history lands on the right learner.

Generate insights

Progress report, worksheets or packs from the profile. Check names and classes carefully so history lands on the right learner.

Share carefully

Export or email under your school processes. Check names and classes carefully so history lands on the right learner.

Capabilities

What learner profiles cover

Marking history

Automated and rubric results with charts. Designed to sit beside your other Feedback Flows tools for AI progress reports.

Integrity strip

Fingerprint, AI check and related outcomes. Designed to sit beside your other Feedback Flows tools for AI progress reports.

Progress reports

AI narrative over a chosen date range. Designed to sit beside your other Feedback Flows tools for AI progress reports.

Interventions

Notes, meetings and calendar items. Designed to sit beside your other Feedback Flows tools for AI progress reports.

Exports

Spreadsheet history and selective email. Designed to sit beside your other Feedback Flows tools for AI progress reports.

Class links

Enrolment and assignment context. Designed to sit beside your other Feedback Flows tools for AI progress reports.

On screen

Profile and report side by side

See longitudinal progress on the profile, then generate a narrative report when you need it. Training Centre walkthroughs mirror the same AI progress reports screens so new markers practise review before live work. Leaders can sample completed jobs monthly to confirm overrides stay proportionate and comments stay in the department voice.

  • One learner, full evidence trail
  • Reports for meetings without extra spreadsheets
  • Actions that launch worksheets and packs
Learner profile with progress over several assignments
AI-generated progress report
Guides

Research and practice

Related tools

Continue exploring

Reporting hub Intervention risk and mark risk views, breakdowns by year group and subject, AI cohort summaries, intervention logging and exports — built f…
Students and classes Open the full page for this tool.
Targeted worksheets Turn marking into the next lesson. Feedback Flows builds a worksheet from real weaknesses in a learner's recent work, with a mark scheme so …
Writing fingerprints Build a style profile from previous authentic samples, then compare a new submission. See how vocabulary, structure and habits align — evide…
FAQ

Questions about AI progress reports

An AI summary of marked work in a date range on the learner profile, for reviews, planning and parents' evenings. Most departments keep a short note on who may release AI progress reports results and how parents are informed. Keep copies of key exports in your usual shared drive structure for sampling.

Completed marking jobs save to the learner's marking history when linked to that student. Export packs usually sit alongside your normal moderation or IQA evidence for AI progress reports. Keep copies of key exports in your usual shared drive structure for sampling.

Where enabled, you can email selected results to the email on the student profile after confirming authorisation. New staff can learn AI progress reports via Training Centre lessons and the guides linked on this page. Keep copies of key exports in your usual shared drive structure for sampling.

No student portal login is required for core marking workflows. Always leave a trained person in the loop before learners see AI progress reports outcomes.

Profiles are per learner. Reporting Hub aggregates the cohort. If you are unsure whether AI progress reports fits, compare the related tools listed below and pick by assessment type.

Yes. Fingerprint, AI detection and related outcomes appear in the integrity summary. Credit use and retention follow your Feedback Flows account settings when you run AI progress reports.

Yes. Launch Targeted Worksheets or Learner Packs when follow-up is needed. Sample a handful of outputs in the first week so team norms for AI progress reports stay consistent.

Treat them as a draft narrative you review before sharing under your processes. Keep policy language plain: what AI progress reports drafts, what humans decide, and what is stored.

Staff with access to that learner under your organisation permissions. Escalate only with evidence — quotes, pairs or reports — never with a score alone from AI progress reports.
Get started

Try Learner profiles and progress reports on a live demo

Explore the tool with sample work, or start free with welcome credits on your own account.

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