@inproceedings{arieli-attali-etal-2025-assessing,
    title = "Assessing {AI} skills: A washback point of view",
    author = "Arieli-Attali, Meirav  and
      Beigman Klebanov, Beata  and
      O{'}Reilly, Tenaha  and
      Zapata-Rivera, Diego  and
      Sabag-Shushan, Tami  and
      Awadie, Iman",
    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.29/",
    pages = "274--280",
    ISBN = "979-8-218-84228-4",
    abstract = "The emerging dominance of AI in the perception of skills-of-the-future makes assessing AI skills necessary to help guide learning. Creating an assessment of AI skills poses some new challenges. We examine those from the point of view of washback, and exemplify using two exploration studies conducted with 9th grade students."
}