Impact Factor (2024): 3.84  |  ISSN: 2583-4371
    Email Id: editor.ijtle@gmail.com
    Impact Factor (2024): 3.84  |  ISSN: 2583-4371
    Email Id: editor.ijtle@gmail.com

    The Effectiveness of Free Software for Detecting AI-Generated Writing

    JOURNAL ARTICLE

    Author: Gregory Price, Marc D. Sakellarios

    Keywords: AI-generated writing, AI detection software, education technology, free AI tools, student evaluations.

    Abstract: As artificial intelligence (AI) technology advances, educators are faced with the challenge of detecting AI-generated writing in student assignments. This study explores the effectiveness of freely available AI detection software in identifying AI-generated content and its implications for teacher evaluation of student work. The research involved Japanese university students who used AI for English writing assignments. We compared our manual analysis with results from five different free AI writing detectors. The findings reveal the limitations of free AI detection tools and the need for cautious use in educational settings.

    Article Info: Received: 03 Oct 2023, Received in revised form: 08 Nov 2023, Accepted: 15 Nov 2023, Available online: 23 Nov 2023

    The Effectiveness of Free Software for Detecting AI-Generated Writing DOI: 10.22161/ijtle.2.6.4

    Total View: 567 Downloads: 19 Page No: 31-38

    submit paper ijeel

    Archiving