IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6925-d832585.html
   My bibliography  Save this article

Profiles of Mathematics Teachers’ Job Satisfaction and Stress and Their Association with Dialogic Instruction

Author

Listed:
  • Sunghwan Hwang

    (Department of Mathematics Education, Seoul National University of Education, Seoul 06637, Korea)

Abstract

High-quality mathematics instruction is a primary element for quality education and the sustainable development of society. Some studies have highlighted the critical role of teacher job satisfaction and stress on their instruction. However, limited research has focused on the combinational influence of job satisfaction and stress on mathematics teachers’ dialogic instruction. This study aims to examine their combinational influence on mathematic teachers’ dialogic instruction using latent profile analysis and draws three conclusions. First, this study found three profiles: high job satisfaction and very low stress, very low job satisfaction and high stress, and moderately high job satisfaction and slightly high stress. Second, latent profile membership was differentially related to self-efficacy and leadership support. Third, mathematics teachers with very low job satisfaction and high stress were less likely to implement dialogic instruction compared to teachers in other profiles. This study also provides implications based on these results.

Suggested Citation

  • Sunghwan Hwang, 2022. "Profiles of Mathematics Teachers’ Job Satisfaction and Stress and Their Association with Dialogic Instruction," Sustainability, MDPI, vol. 14(11), pages 1-17, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6925-:d:832585
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6925/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/11/6925/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hee-jeong Kim, 2020. "Concreteness Fading Strategy: A Promising and Sustainable Instructional Model in Mathematics Classrooms," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sun-Joo Chung & Lee-Jin Choi, 2021. "The Development of Sustainable Assessment during the COVID-19 Pandemic: The Case of the English Language Program in South Korea," Sustainability, MDPI, vol. 13(8), pages 1-13, April.
    2. Hea-Jin Lee & Chaereen Han & Hee-jeong Kim & Leah Herner-Patnode, 2021. "Teaching Multiplication to Students with Mathematical Learning Disabilities (MLD): Analysis of Preservice Teachers’ Lesson Design," Sustainability, MDPI, vol. 13(21), pages 1-19, October.

    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:gam:jsusta:v:14:y:2022:i:11:p:6925-:d:832585. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.