An Automated Explainable Educational Assessment System Built on LLMs

Jiazheng Li, Artem Bobrov, David West, Cesare Aloisi, Yulan He

Research output: Contribution to conference typesPaperpeer-review

Abstract

In this demo, we present AERA Chat, an automated and explainable educational assessment system designed for interactive and visual evaluations of student responses. This system leverages large language models (LLMs) to generate automated marking and rationale explanations, addressing the challenge of limited explainability in automated educational assessment and the high costs associated with annotation. Our system allows users to input questions and student answers, providing educators and researchers with insights into assessment accuracy and the quality of LLM-assessed rationales. Additionally, it offers advanced visualization and robust evaluation tools, enhancing the usability for educational assessment and facilitating efficient rationale verification.

Original languageEnglish
Pages29658-29660
Number of pages3
DOIs
Publication statusPublished - 11 Apr 2025
Event39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025 - Philadelphia, United States
Duration: 25 Feb 20254 Mar 2025

Conference

Conference39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
Country/TerritoryUnited States
CityPhiladelphia
Period25/02/20254/03/2025

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