AI ethics evidence index Search
Source-linked daily record
Evidence record 1312 · automatically gathered

Impacts of Histories and Models on LLM Grading: A Study in Advanced Software Engineering Courses

Graduate-level research reading report assessment creates a substantial labor burden for educators. While large language models (LLMs) hold great potential for automating academic grading, their reliability for this specialized task remains understudied, particularly regarding grading consistency, the lack of which represents a primary obstacle to educational fairness. This paper proposes a human-aligned LLM-assisted grading workflow and presents a case study based on 180 student submissions fro

Record details

Published: 7 June 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Jobs & economy · Children & education
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness · Shared topic: Jobs & economy

Six Institutional Intervention Areas to Support Ethical and Effective Student Use of Generative AI in Higher Education: A Narrative Review

OpenAlex · 16 January 2026

Shared topic: Bias & fairness · Shared topic: Children & education

Two-Phase Simulated Annealing for Equitable Team Formation: Eliminating Complaints in Large Engineering Cohorts

arXiv · 5 June 2026

Shared topic: Bias & fairness · Shared topic: Jobs & economy

The Benchmark Ceiling: Human Judgment, Evaluation Scarcity, and the Political Economy of AI Capability Measurement

arXiv · 4 June 2026

Shared topic: Jobs & economy · Shared topic: Children & education

TurtleAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics

arXiv · 2 June 2026

Shared topic: Jobs & economy · Shared topic: Children & education

Auditing Engagement Incentives in the Kidfluencer Ecosystem: A Multimodal Weak Supervision Approach

arXiv · 2 June 2026

Shared topic: Bias & fairness · Shared topic: Children & education

TriEval: A Resource-Efficient Pipeline for LLM Bias, Toxicity, and Truthfulness Assessment

arXiv · 2 June 2026

How to cite this record

ethics.ai (7 June 2026), “Impacts of Histories and Models on LLM Grading: A Study in Advanced Software Engineering Courses,” evidence record 1312, https://ethics.ai/record/1312 (originally published by arXiv).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.