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Feedbacker

What it is

Feedbacker is an open-source higher-education project by Steve Huckle, currently being rebuilt as a workflow, governance, and assessment layer around AI for educators. Its current direction keeps educators responsible for marks and released feedback rather than delegating those decisions to automation. The project aims to make inputs, criteria, transformations, suggestions, edits, and approvals traceable. It also describes institutional control over models, prompts, data handling, retention, and deployment, with those elements intended to be governable and replaceable. Rubric-led cohort workflows are planned to support moderation and calibration while preserving academic judgement. Feedbacker’s previous application has been retired. That earlier tool provided rubric-driven assessment, batch generation of criterion-referenced draft feedback, and educator control over rubrics and final judgements. Institutions could use a public deployment or self-host it, controlling data and AI configuration when self-hosting. Current platform listings include Linux, macOS, web, and Windows.

For and against

For

  • Open-source project
  • Educators retain responsibility for marks
  • Traceable assessment workflow is planned
  • Rubric-led moderation and calibration
  • Linux, macOS, web, and Windows listed

Against

  • Previous application has been retired
  • Current project is being rebuilt
  • Current direction is described as a project

The verdict

Feedbacker’s present focus is governance and accountable AI-assisted assessment, not the retired application. Educators and institutions should consider its rebuilding status when evaluating the project.

Who it suits

Feedbacker is designed for higher-education educators handling assessment and feedback. It suits institutions seeking traceable AI workflows with educator authority and governance controls.

On the record

Cohort consistency
The project describes rubric-led workflows for moderation and calibration across cohorts.feedbacker.education · read 9 Oct 2026
Cohort workflows
The maker says rubric-led workflows should support moderation and calibration while preserving academic judgement.feedbacker.education · read 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 · read 4 Oct 2026
Current purpose
Feedbacker is described as a workflow, governance, and assessment layer around AI for educators.feedbacker.education · read 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 · read 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 · read 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 · read 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 · read 9 Oct 2026
Educator authority
Marks and released feedback remain the responsibility of educators, not an automated system.feedbacker.education · read 9 Oct 2026
Human oversight
The maker says educators remain responsible for marks and released feedback, rather than an automated system.feedbacker.education · read 4 Oct 2026
Institutional control
The project says models, prompts, data handling, retention, and deployment should be governable and replaceable.feedbacker.education · read 9 Oct 2026
Intended context
The current homepage describes Feedbacker as a higher education project.feedbacker.education · read 4 Oct 2026
Intended users
Feedbacker is designed for higher-education educators working with assessment and feedback.feedbacker.education · read 9 Oct 2026
Open source
Feedbacker identifies itself as an open-source project by Steve Huckle.feedbacker.education · read 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 · read 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 · read 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 · read 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 · read 4 Oct 2026

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