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Balanced 192-text evaluation dataset of EFL, professional, AI-generated, and hybrid texts

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Evidence · 6 claims (5 for, 1 mixed) · 2 studies (1 review, 1 design), q2–q3 · 0 of 2 report an effect size · 6 claims rest on one study

Description

A research dataset created by Mohammad Hadra et al. containing 192 balanced EFL, professional, AI-generated, and hybrid texts for evaluating authorship-detection and academic-integrity decisions.

Components

Claims

Key Sources

  • Mohammad Hadra, Karleen Cambridge and Mostefa Mesbah. (2026). Evaluating the accuracy and reliability of AI content detectors in academic contexts. International Journal for Educational Integrity. https://doi.org/10.1007/s40979-026-00213-1
Page metadata
Field Value
type product
id balanced-192-text-evaluation-dataset-of-efl-professional-ai-generated-and-hybrid-texts
title Balanced 192-text evaluation dataset of EFL, professional, AI-generated, and hybrid texts
description A research dataset created by Mohammad Hadra et al.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-11
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