IDEAS home Printed from https://ideas.repec.org/a/sae/anname/v683y2019i1p217-232.html
   My bibliography  Save this article

Assessment of Complex Performances in Digital Environments

Author

Listed:
  • John T. Behrens
  • Kristen E. DiCerbo
  • Peter W. Foltz

Abstract

Digital technologies hold the potential to transform educational assessment. Recent advances reveal that digital environments will support the development of learning and assessment activities in ways that will both increase the inferential fidelity of assessments and change the form of assessments altogether. Digital technologies can also automate data collection and the production of assessment inferences on a massive scale. Here, we discuss the wide variation in digital learning experiences and explain how they are transforming traditional language for discussing assessment. We argue that the predigital constraints on assessment have skewed our thinking about assessment and give examples of new and novel approaches. Second, we discuss how digital environments can allow us to capture and make inferences from simple or complex learning activities in new ways. Third, we point to advances in machine learning and AI that have the potential to change current and future assessment practices. Finally, we argue for balancing enthusiasm for digital environments against the challenges of making appropriate assessment inferences.

Suggested Citation

  • John T. Behrens & Kristen E. DiCerbo & Peter W. Foltz, 2019. "Assessment of Complex Performances in Digital Environments," The ANNALS of the American Academy of Political and Social Science, , vol. 683(1), pages 217-232, May.
  • Handle: RePEc:sae:anname:v:683:y:2019:i:1:p:217-232
    DOI: 10.1177/0002716219846850
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0002716219846850
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0002716219846850?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:anname:v:683:y:2019:i:1:p:217-232. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.