@inproceedings{feyijimi-etal-2025-augmented,
    title = "Augmented Measurement Framework for Dynamic Validity and Reciprocal Human-{AI} Collaboration in Assessment",
    author = "Feyijimi, Taiwo  and
      Oyeniran, Daniel O  and
      Apata, Oukayode  and
      Makinde, Henry Sanmi  and
      Adegoke, Hope Oluwaseun  and
      Ajamobe, John  and
      Dadzie, Justice",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers",
    month = oct,
    year = "2025",
    address = "Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States",
    publisher = "National Council on Measurement in Education (NCME)",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.aimecon-main.31/",
    pages = "290--296",
    ISBN = "979-8-218-84228-4",
    abstract = "The proliferation of Generative Artificial Intelligence presents unprecedented opportunities and profound challenges for educational measurement. This study introduces the Augmented Measurement Framework grounded in four core principles. The paper discussed practical applications, implications for professional development and policy, and charts a research agenda for advancing this framework in educational measurement."
}