IDEAS home Printed from https://ideas.repec.org/a/ids/ijilea/v27y2020i4p450-466.html
   My bibliography  Save this article

Peer assessment of peer assessment plan: a deep learning approach of teacher assessment literacy

Author

Listed:
  • Wing Shui Ng
  • Haoran Xie
  • Fu Lee Wang
  • Tingting Li

Abstract

The rationales of using assessment to enhance learning have been highly recognised. However, the issue of assessment literacy deficiency and insecurity about effective assessment implementation among pre-service and in-service teachers has been documented, which inevitably weakens the effectiveness of using assessment to improve learning. In this study, a deep learning approach with a core component of peer assessment of peer assessment plan was implemented to enhance the assessment literacy of a group of pre-service teachers. The design was informed by the taxonomy of learning in the cognitive domain and affective domain. Results show that they were able to prepare peer assessment plans in good quality. After conducting the activity of peer assessment on peer assessment plan, they demonstrated a deep level of attitude change and explicitly expressed their willingness to implement peer assessment in their future teaching. The deep learning approach to a great extent enhanced teachers' assessment literacy.

Suggested Citation

  • Wing Shui Ng & Haoran Xie & Fu Lee Wang & Tingting Li, 2020. "Peer assessment of peer assessment plan: a deep learning approach of teacher assessment literacy," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 27(4), pages 450-466.
  • Handle: RePEc:ids:ijilea:v:27:y:2020:i:4:p:450-466
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=107617
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijilea:v:27:y:2020:i:4:p:450-466. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=57 .

    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.