Ample: A Multi-Agent AI Tool for Rich, Curriculum-Aligned Essay Feedback

Ample is an innovative AI-powered essay feedback tool currently in development, designed to support students’ writing through rich, personalised, curriculum-aligned feedback. Ample uses a multi-agent architecture, with agentic Retrieval-Augmented Generation (RAG) to evaluate essays against mark schemes, assessment objectives, exemplar feedback, and syllabus content. The presentation outlines some of the design choices and challenges in developing Ample, as well as discussing how to ensure that it is calibrated against real teacher feedback.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-07
DOI
https://doi.org/10.5281/zenodo.17290246
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
0.00
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article

Ample: A Multi-Agent AI Tool for Rich, Curriculum-Aligned Essay Feedback

Zenodo (CERN European Organization for Nuclear Research)
Bacterial Identification and Susceptibility Testing
article

Ample: A Multi-Agent AI Tool for Rich, Curriculum-Aligned Essay Feedback

article en

Abstract

Ample is an innovative AI-powered essay feedback tool currently in development, designed to support students’ writing through rich, personalised, curriculum-aligned feedback. Ample uses a multi-agent architecture, with agentic Retrieval-Augmented Generation (RAG) to evaluate essays against mark schemes, assessment objectives, exemplar feedback, and syllabus content. The presentation outlines some of the design choices and challenges in developing Ample, as well as discussing how to ensure that it is calibrated against real teacher feedback.

Zenodo (CERN European Organization for Nuclear Research)
Danish Medical Association (DK)
Quality Education
Openalex Percentile: Top 34%
Bacterial Identification and Susceptibility Testing
DOIOpen Access PDFOpenAlex
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Ample: A Multi-Agent AI Tool for Rich, Curriculum-Aligned Essay Feedback · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS