DIGITAL LIBRARY
ANALYSIS OF DEPENDENCES BETWEEN UTILIZATION OF MOBILE TECHNOLOGIES IN MATH EDUCATION AND STUDENTS’ TECHNICAL BACKGROUNDS
1 University of Ostrava, Faculty of Education (CZECH REPUBLIC)
2 Comenius University in Bratislava, Facultu of Education (SLOVAKIA)
About this paper:
Appears in: ICERI2019 Proceedings
Publication year: 2019
Pages: 11283-11289
ISBN: 978-84-09-14755-7
ISSN: 2340-1095
doi: 10.21125/iceri.2019.2800
Conference name: 12th annual International Conference of Education, Research and Innovation
Dates: 11-13 November, 2019
Location: Seville, Spain
Abstract:
This paper drives from a previously conducted quantitative research, analysed and presented in (Korenova et.al., 2019), which focused on the utilization of mobile technologies with 782 respondents of the Czech Republic, Slovakia, Hungary and Romania. This previous analysis dealt with opinions of students on using mobile technologies in math education in the frame of concrete courses of mathematics, at each cooperating university. Answers from applied questionnaires were processed by descriptive and inductive statistical methods according to the research questions. Conclusions proved the declared assumptions as significantly satisfying. Particularly, the dependences of frequency of using technologies were verified with regards to the field of study. However, a significant area of the dependence between the utilization of the mobile technologies and the technical background of students has not been so widely described. Therefore, an advanced quantitative analysis is provided in this contribution, with regards to these technical conditions for mathematical education. Achieved results obtained by statistical methods aimed for testing hypotheses can be advantageous for the re-identification of teachers’ approaches in this discipline, because their own utilization can be significantly influenced by the technical background at universities and the daily life of students.
Keywords:
mobile technologies, mathematics education, mobile applications for education, quantitative research, testing hypotheses