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  • Lillian Tyack, Lale Khorramdel, Matthias...
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    Jun 27th, 2024
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    journalArticle
    Lillian Tyack, Lale Khorramdel, Matthias...
    Jun 27th, 2024

    International large-scale assessments (ILSAs) have used graphical response-based items to measure student ability for decades, but they have yet to implement automated scoring of these responses and instead rely on human scoring alone. To investigate how scores provided by machine algorithms compare to those provided by human raters, we applied convolutional neural networks (CNNs) to classify image-based responses from eight Timss 2019 items. Our results show that the most accurate CNN...

  • Ji Yoon Jung, Lillian Tyack, Matthias vo...
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    Apr 8th, 2024
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    journalArticle
    Ji Yoon Jung, Lillian Tyack, Matthias vo...
    Apr 8th, 2024

    Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education. Despite these advancements, AI-powered automated scoring in international large-scale assessments (ILSAs) remains largely unexplored due to the scoring challenges associated with processing large amounts of multilingual responses. However, due to their low-stakes nature, ILSAs are an ideal ground for innovations and exploring new methodologies.

Last update from database: 27/12/2024, 15:15 (UTC)
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