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Feedbacker

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What Feedbacker is

Feedbacker is an open-source higher education project by Steve Huckle, currently being redefined and rebuilt as a workflow, governance, and assessment layer around AI for educators. Its direction keeps educators responsible for marks and released feedback. It aims to make the steps behind assessment traceable, including inputs, criteria, transformations, AI suggestions, educator edits, and approvals. The project also describes institutional control over models, prompts, data handling, retention, and deployment, with these elements intended to be governable and replaceable. Its planned cohort workflows use rubrics to support moderation and calibration while preserving academic judgement.

Feedbacker’s previous application has been retired. It served higher education educators as an AI-assisted formative feedback tool, with rubric-driven assessment and batch generation of criterion-referenced feedback. Educators controlled rubrics and final judgements; the application generated draft feedback rather than making grading decisions. Institutions could use its public deployment or self-host it, with control over data and AI configuration when self-hosting. Those details describe the retired application, while the current project is being rebuilt.

Who it suits

Feedbacker’s current direction is for higher education educators and institutions seeking AI-supported assessment workflows with educator oversight and institutional governance. Its earlier application suited educators using rubrics to generate draft formative feedback in batches, though that application has been retired.

What it does well

  • Open-source project by Steve Huckle.
  • Keeps educators responsible for marks and released feedback.
  • Aims to trace assessment inputs, criteria, suggestions, edits, and approvals.
  • Rubric-led cohort workflows are intended to support moderation and calibration.
  • Institutional governance is intended to cover models, prompts, data, retention, and deployment.

What to know first

  • The previous application has been retired.
  • The project is being redefined and rebuilt in the open.

Verdict

Consider Feedbacker if you are following an open-source higher education project centered on educator oversight, traceability, and institutional control around AI assessment. Educators looking for the former formative feedback application should note that it has been retired while the project is rebuilt.

Questions

Is Feedbacker free?

Feedbacker is described as free and open source.

Who makes Feedbacker?

The project is described as an open-source project by Steve Huckle.

Is the previous Feedbacker application still available?

The previous application has been retired.

What did the previous application do?

It offered rubric-driven assessment and batch generation of criterion-referenced draft feedback for higher education educators. It did not automate grading decisions.

What is Feedbacker intended to become?

The current project describes a workflow, governance, and assessment layer around AI for educators, with institutional control and traceability as part of its direction.

Facts from Feedbacker's own pages

Cohort consistency
The project describes rubric-led workflows for moderation and calibration across cohorts. · feedbacker.education, 9 Oct 2026
Cohort workflows
The maker says rubric-led workflows should support moderation and calibration while preserving academic judgement. · feedbacker.education, 4 Oct 2026
Current project status
The project is being redefined and rebuilt in the open, and the previous application has been retired. · feedbacker.education, 4 Oct 2026
Current purpose
Feedbacker is described as a workflow, governance, and assessment layer around AI for educators. · feedbacker.education, 4 Oct 2026
Current status
The previous application has been retired and Feedbacker is being rebuilt as an open-source workflow, governance, and assessment layer around AI. · feedbacker.education, 9 Oct 2026
Earlier capabilities
The older About page lists rubric-driven assessment, batch feedback generation, educator control over criteria and final judgements, and flexible institutional hosting and adaptation. · feedbacker.education, 9 Oct 2026
Earlier deployment
The older About page says the former product could be used via a public deployment or self-hosted by institutions. · feedbacker.education, 9 Oct 2026
Earlier product description
An older About page describes Feedbacker as an AI-assisted formative feedback tool for higher education that helps educators provide actionable feedback efficiently while retaining human judgement. · feedbacker.education, 9 Oct 2026
Educator authority
Marks and released feedback remain the responsibility of educators, not an automated system. · feedbacker.education, 9 Oct 2026
Human oversight
The maker says educators remain responsible for marks and released feedback, rather than an automated system. · feedbacker.education, 4 Oct 2026
Institutional control
The project says models, prompts, data handling, retention, and deployment should be governable and replaceable. · feedbacker.education, 9 Oct 2026
Intended context
The current homepage describes Feedbacker as a higher education project. · feedbacker.education, 4 Oct 2026
Intended users
Feedbacker is designed for higher-education educators working with assessment and feedback. · feedbacker.education, 9 Oct 2026
Open source
Feedbacker identifies itself as an open-source project by Steve Huckle. · feedbacker.education, 9 Oct 2026
Previous application features
The older About page lists rubric-driven assessment, batch generation of criterion-referenced feedback, and educator control over rubrics and final judgements. · feedbacker.education, 4 Oct 2026
Previous application grading limit
The older About page says the application generated draft feedback and did not automate grading decisions. · feedbacker.education, 4 Oct 2026
Previous application purpose
The older About page describes the previous application as an AI-assisted formative feedback tool for higher education educators. · feedbacker.education, 4 Oct 2026
Previous deployment options
The older About page says institutions could use the public deployment or self-host the application, with control over data and AI configuration when self-hosting. · feedbacker.education, 4 Oct 2026
Traceability
The project says inputs, criteria, transformations, suggestions, edits, and approvals should be traceable. · feedbacker.education, 9 Oct 2026

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