The aim of this study is to identify the main factors that affected the process of technology integration in mathematics education. The methodological approach taken in this study is a structured grounded theory. The participants of the study included two secondary-school mathematics teachers, four students selected by the teachers, and two school administrators who were responsible for technology implementation. The data collection tools included two semi-structured interview forms based on a literature review, whose pilot studies were conducted, to identify the opinions of teachers, students and administrators separately. The data analysis method of the study was the constant comparative method that requires to collect data constantly and create codes and categories suggested by the grounded theory. For the analysis of the data, the qualitative data analysis software, MAXQDA 2020, was employed. Based on the findings of the study the factors that affected the process of technology integration in mathematics education were examined as teacher-driven and non-teacher driven factors. The results of the study highlighted that teachers were highly effective in the integration process. Therefore, 20 factors that affected the teachers were identified. These factors included perception of technology, technological awareness, self-confidence, planning and technological materials; and 9 factors that were related to non-teacher-driven aspects including physical conditions, administrative support, student readiness, economic situation, mathematics curriculum and mathematics curriculum approach. These factors were associated with each other, and a framework related to the factors that affected technology integration in mathematics education was suggested.
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Article Type: Research Article
INT ELECT J MATH ED, 2021, Volume 16, Issue 1, Article No: em0617
Publication date: 29 Nov 2020
Article Views: 1855
Article Downloads: 1073Open Access Disclosures References How to cite this article