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Pre-Service Mathematics Teachers' Lesson Plans as a Source of Information About Their Readiness to Teach Online

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11410%2F22%3A10450399" target="_blank" >RIV/00216208:11410/22:10450399 - isvavai.cz</a>

  • Result on the web

    <a href="https://papers.academic-conferences.org/index.php/ecel/article/view/764/808" target="_blank" >https://papers.academic-conferences.org/index.php/ecel/article/view/764/808</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pre-Service Mathematics Teachers' Lesson Plans as a Source of Information About Their Readiness to Teach Online

  • Original language description

    This paper presents a study of lesson plans created by pre-service mathematics teachers (PMTs) from two universities (Faculty of Education, Charles University in Prague, and Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava) in the course Didactics of Mathematics. The collaboration of the two research teams brought new perspectives on several questions that were come across in one or the other group of PMTs. The focus of the study was on lesson plans since the lesson plan is one of the significant parts of mathematics teacher education. The studied issues were the PMTs&apos; willingness to implement digital technologies (DT) in their lesson plans and the changes in their lesson plans that could be linked to the COVID-19 pandemic. For data processing, a mixed research design was used. In the qualitative part of the research, the thematic analysis resulted in identification of several codes related to the hybrid mode of teaching. In the quantitative part, Statistical Implicative Analysis (C.H.I.C) was applied. Relations inside the groups of PMTs and among them are presented and discussed in the paper by interpreting the results from the implicative trees and graphs. We concluded that (i) PMTs from our sample are, to a limited extent, prepared for using DT in their teaching, (ii) PMTs used DT in their teaching mainly for testing and feedback collection, (iii) PMTs in our sample focused on the content and the choice of software (or application, applet, etc.) when preparing a lesson plan. Besides that, we found (by using C.H.I.C.) that not all codes identified in thematic analysis were connected to the others. The findings are of interest to teacher educators in general, researchers interested in teachers&apos; lesson planning, and in-service teachers in general. In this paper we focus on PMTs&apos; lesson plans. We plan to do a similar analysis of in-service teachers&apos; lesson plans in order to gain a deeper insight into the role of experience in the studied domain.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50301 - Education, general; including training, pedagogy, didactics [and education systems]

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 21st European Conference on e-Learning - ECEL 2022

  • ISBN

    978-1-914587-56-6

  • ISSN

    2048-8637

  • e-ISSN

    2048-8645

  • Number of pages

    6

  • Pages from-to

    382-389

  • Publisher name

    University of Brighton

  • Place of publication

    Reading

  • Event location

    Brighton

  • Event date

    Oct 27, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000964203500047