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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