In authors or contributors

5 resources

  • Jill Burstein, Geoffrey T. LaFlair, Anto...
    |
    Mar 23rd, 2022
    |
    report
    Jill Burstein, Geoffrey T. LaFlair, Anto...
    Mar 23rd, 2022

    The Duolingo English Test is a groundbreaking, digital-first, computer-adaptive English language proficiency test intended to support stakeholder admissions decisions at English-medium institutions. The test measures four key constructs for university English language proficiency: Speaking, Writing, Reading, and Listening (SWRL), and is aligned with the Common European Framework of Reference for Languages (CEFR) proficiency levels and descriptors. As a digital-first assessment, the test...

  • Nitin Madnani, Anastassia Loukina, Alina...
    |
    Oct 27th, 2017
    |
    conferencePaper
    Nitin Madnani, Anastassia Loukina, Alina...
    Oct 27th, 2017
  • Jill Burstein, Geoffrey T. LaFlair, Kevi...
    |
    Aug 28th, 2024
    |
    preprint
    Jill Burstein, Geoffrey T. LaFlair, Kevi...
    Aug 28th, 2024

    Artificial intelligence (AI) creates opportunities for assessments, such as efficiencies for item generation and scoring of spoken and written responses. At the same time, it poses risks (such as bias in AI-generated item content). Responsible AI (RAI) practices aim to mitigate risks associated with AI. This chapter addresses the critical role of RAI practices in achieving test quality (appropriateness of test score inferences), and test equity (fairness to all test takers). To illustrate,...

  • Yigal Attali, Andrew Runge, Geoffrey T. ...
    |
    Jul 22nd, 2022
    |
    journalArticle
    Yigal Attali, Andrew Runge, Geoffrey T. ...
    Jul 22nd, 2022

    Automatic item generation (AIG) has the potential to greatly expand the number of items for educational assessments, while simultaneously allowing for a more construct-driven approach to item development. However, the traditional item modeling approach in AIG is limited in scope to content areas that are relatively easy to model (such as math problems), and depends on highly skilled content experts to create each model. In this paper we describe the interactive reading task, a...

  • Yigal Attali, Andrew Runge, Geoffrey T. ...
    |
    Jul 22nd, 2022
    |
    journalArticle
    Yigal Attali, Andrew Runge, Geoffrey T. ...
    Jul 22nd, 2022

    Automatic item generation (AIG) has the potential to greatly expand the number of items for educational assessments, while simultaneously allowing for a more construct-driven approach to item development. However, the traditional item modeling approach in AIG is limited in scope to content areas that are relatively easy to model (such as math problems), and depends on highly skilled content experts to create each model. In this paper we describe the interactive reading task, a...

Last update from database: 27/10/2025, 21:15 (UTC)
Powered by Zotero and Kerko.