AiAWE

Product or Programme · All products and programmes
Evidence · 2 claims (1 for, 1 mixed) · 1 study (1 causal), q1 · 0 of 1 report an effect size · 2 claims rest on one study

Description

AiAWE is an open-source Django platform developed by John Maurice Gayed and collaborators for real-time and batch automated essay scoring, custom-rubric feedback, and formative writing support.

Components

• AiAWE open-source automated writing evaluation platform: AiAWE is a Django web application, publicly accessible at https://app.awade.gec.waseda.ac.jp, that serves students and educators with "real-time essay scoring, rubric-referenced qualitative feedback, batch processing, and custom-rubric configuration." It runs llama.cpp inference of a Q4_K_M-quantised LoRA-adapted Gemma-3-27B model on a single RTX 3090, with average inference latency below two seconds per essay. Educator-facing features include batch user creation via Excel upload, batch essay processing (batches of over 1,000 essays in a single run), admin-defined custom rubric configurations with temperature settings, and token-based authentication with per-model daily request quotas. An experimental AWADE mode runs the base Gemma model without a LoRA adapter against instructor-defined rubrics for formative feedback. (John Maurice Gayed (2026))

Claims

• A LoRA-adapted open-weight Gemma-3-27B model fine-tuned on 120 essays outperforms a fine-tuned GPT-3.5 baseline on TOEFL essay scoring across all reported metrics [+M]
• LoRA fine-tuning hyperparameters are not model-agnostic: increasing rank above 64 destroyed LLaMA's feedback generation while Gemma remained robust [~W]

Related Products and Programmes

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Key Sources

• John Maurice Gayed. (2026). AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models. A PREPRINT. https://arxiv.org/abs/2606.12801

Page metadata

Field	Value
type	product
id	aiawe
title	AiAWE
description	AiAWE is an open-source Django platform developed by John Maurice Gayed and collaborators for real-time and batch automated essay scoring, custom-rubric feedback, and formative writing support.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-10
trust	unverified — no one has confirmed this page's content

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