{
  "id": 9746,
  "url": "https://doi.org/10.1080/02602938.2025.2502582",
  "title": "Comparing Generative AI and teacher feedback: student perceptions of usefulness and trustworthiness",
  "summary": "The rapid integration of Generative Artificial Intelligence (GenAI) into educational contexts has presented both opportunities and challenges for students seeking and using feedback. While AI-generated feedback can offer increased access, timely responses and personalised insights, concerns about the quality of AI-generated feedback still persist, including issues of bias, factual inaccuracies, and homogenisation. This study investigates how students use, value and trust AI-generated feedback co",
  "authors": "Michael Henderson, Margaret Bearman, Jennifer Chung, Tim Fawns, Simon Buckingham Shum, Kelly Matthews",
  "category": "research",
  "topics": "bias-fairness,children-education,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2025-05-13T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:34:00.821Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9746",
  "original_url": "https://doi.org/10.1080/02602938.2025.2502582",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}