IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v15y2025i1p21582440251328756.html
   My bibliography  Save this article

Unpacking Students’ Emotional Experience in the Connecting Assessment of Blended Learning Context

Author

Listed:
  • Zhao Shurong
  • Song Junxia

Abstract

Emotional experiences significantly affect students’ health, learning outcomes, productivity, and social interactions. Therefore, investigating learners’ emotional experiences in typical technology-related scenarios during the information age is crucial and meaningful. Utilizing assessment to bridge online and offline activities serves as a critical element in ensuring the success of blended learning and has become a widespread practice. This practice often elicits unique and intense emotional responses from learners. Yet, there is a paucity of research examining these emotional experiences. The present study aims to fill this gap by establishing a typical blended learning context (two periods of online learning alternating with two periods of face-to-face instruction) in a Chinese university and investigating the emotional experiences within the connecting assessment context through the administration of questionnaires and interviews. Analysis of the data reveals that during the process of connecting assessment, learners tend to exhibit more pronounced negative emotions as compared to other educational situations. Specifically, feelings of relief, anxiety, and pride emerged as having the highest mean values. Moreover, there is a remarkable difference in emotional experiences across different levels of academic achievement. Participants also identified several contributing factors to their emotional responses, such as the level of preparedness, the sense of accomplishment, the motivational function of assessment, and constraints on time. This study underscores the intricate nature of emotions within academic contexts and posits that certain established definitions of emotions may be contingent upon specific contextual factors.

Suggested Citation

  • Zhao Shurong & Song Junxia, 2025. "Unpacking Students’ Emotional Experience in the Connecting Assessment of Blended Learning Context," SAGE Open, , vol. 15(1), pages 21582440251, March.
  • Handle: RePEc:sae:sagope:v:15:y:2025:i:1:p:21582440251328756
    DOI: 10.1177/21582440251328756
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440251328756
    Download Restriction: no

    File URL: https://libkey.io/10.1177/21582440251328756?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:sagope:v:15:y:2025:i:1:p:21582440251328756. 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.