3 resources

  • Christopher Michael Ormerod, Alexander K...
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    Jul 2nd, 2024
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    preprint
    Christopher Michael Ormerod, Alexander K...
    Jul 2nd, 2024

    Current research on generative language models (GLMs) for automated text scoring (ATS) has focused almost exclusively on querying proprietary models via Application Programming Interfaces (APIs). Yet such practices raise issues around transparency and security, and these methods offer little in the way of efficiency or customizability. With the recent proliferation of smaller, open-source models, there is the option to explore GLMs with computers equipped with modest, consumer-grade...

  • Okan Bulut, Maggie Beiting-Parrish, Jodi...
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    Jun 27th, 2024
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    preprint
    Okan Bulut, Maggie Beiting-Parrish, Jodi...
    Jun 27th, 2024

    The integration of artificial intelligence (AI) in educational measurement has revolutionized assessment methods, enabling automated scoring, rapid content analysis, and personalized feedback through machine learning and natural language processing. These advancements provide timely, consistent feedback and valuable insights into student performance, thereby enhancing the assessment experience. However, the deployment of AI in education also raises significant ethical concerns regarding...

  • Okan Bulut, Maggie Beiting-Parrish, Jodi...
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    Oct 22nd, 2024
    |
    preprint
    Okan Bulut, Maggie Beiting-Parrish, Jodi...
    Oct 22nd, 2024

    The integration of artificial intelligence (AI) in educational measurement has revolutionized assessment methods, enabling automated scoring, rapid content analysis, and personalized feedback through machine learning and natural language processing. These advancements provide timely, consistent feedback and valuable insights into student performance, thereby enhancing the assessment experience. However, the deployment of AI in education also raises significant ethical concerns regarding...

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