IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v7y2019i12p1245-d298803.html
   My bibliography  Save this article

How Teacher’s Progressiveness in Using Digital Technologies Influences Levels of Pupils’ Metacognitive Knowledge in Mathematics

Author

Listed:
  • Vlastimil Chytrý

    (Department of Preschool and Primary Education, Faculty of Education, University of J.E. Purkyně in Ústí nad Labem, České Mládeže 8, 400 96 Ústí nad Labem, Czech Republic)

  • Jaroslav Říčan

    (Department of Pedagogy, Faculty of Education, University of J.E. Purkyně in Ústí nad Labem, České Mládeže 8, 400 96 Ústí nad Labem, Czech Republic)

  • Janka Medová

    (Department of Mathematics, Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 949 74 Nitra, Slovakia)

Abstract

The low efficiency of using appropriate strategies to solve problems in the classroom environment is not due to the lack of knowledge of how to classify concepts, but rather due to the failure to apply this knowledge strategically. Therefore, it is necessary to find a balance between them, i.e., to let the pupils discuss the problems while supporting the teacher’s intervention. The aim of the presented study was to examine the influence of a teacher’s progressiveness on the level of metacognitive knowledge of the pupil. Altogether, 47 teachers and 278 pupils at grade 5 were participating in the study. It is shown that the approach of teachers to innovation itself has an influence on the pupil. When comparing all five groups of innovators, the difference among the categories of teachers was significant ( p = 0.044 ) with the low effect ( d c o h e n = 0.3 ) . When considering only the two almost antagonistic poles of teachers, the innovators and the late majority according to Roger’s innovation diffusion theory, this influence was very strong ( p = 0.009 ) and with medium effect ( d c o h e n = 0.725 ). Our research shows that it is necessary to address the teacher’s innovativeness, affecting the level of metacognitive knowledge of the pupil as an important prediction tool determining school success.

Suggested Citation

  • Vlastimil Chytrý & Jaroslav Říčan & Janka Medová, 2019. "How Teacher’s Progressiveness in Using Digital Technologies Influences Levels of Pupils’ Metacognitive Knowledge in Mathematics," Mathematics, MDPI, vol. 7(12), pages 1-17, December.
  • Handle: RePEc:gam:jmathe:v:7:y:2019:i:12:p:1245-:d:298803
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/7/12/1245/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/7/12/1245/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Di Novi, Cinzia & Marenzi, Anna, 2019. "The smoking epidemic across generations, genders, and educational groups: A matter of diffusion of innovations," Economics & Human Biology, Elsevier, vol. 33(C), pages 155-168.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Panagiota Chatzivasileiou & Athanasios Drigas, 2022. "ICTs for the Development of the Cognitive and Metacognitive abilities of the students with Specific Learning Disorder in Mathematics," Technium Social Sciences Journal, Technium Science, vol. 31(1), pages 131-152, May.

    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. Cinzia Novi & Rowena Jacobs & Matteo Migheli, 2020. "Smoking inequality across genders and socio-economic positions. Evidence from Italian data," Journal of Bioeconomics, Springer, vol. 22(3), pages 177-203, October.
    2. Josten, Cecily & Lordan, Grace, 2020. "The interaction between personality and health policy: Empirical evidence from the UK smoking bans," Economics & Human Biology, Elsevier, vol. 38(C).
    3. Schelleman-Offermans, Karen & Vieno, Alessio & Stevens, Gonneke W.J.M. & Kuntsche, Emmanuel, 2022. "Family affluence as a protective or risk factor for adolescent drunkenness in different countries and the role drinking motives play," Social Science & Medicine, Elsevier, vol. 311(C).
    4. Agar Brugiavini & Raluca Elena Buia & Matija Kovacic & Cristina Elisa Orso, 2020. "Adverse childhood experiences and risk behaviours later in life: Evidence from SHARE countries," Working Papers 2020:08, Department of Economics, University of Venice "Ca' Foscari".
    5. Agar Brugiavini & Raluca Elena Buia & Matija Kovacic & Cristina Elisa Orso, 2019. "Adverse childhood experiences and outcomes later in life: Evidence from SHARE countries," Working Papers 2019: 18, Department of Economics, University of Venice "Ca' Foscari".

    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:jmathe:v:7:y:2019:i:12:p:1245-:d:298803. 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.