Document Type : Research Paper
Authors
1 Department of Educational Sciences, Farhangian University, Tehran, Iran
2 Educational Sciences, Elementary Education, Farhangian University, Tehran, Iran.
Abstract
The aim of this research is to conduct a qualitative analysis of the components of students' technological learning in mathematics using data-based methods. The identification of factors affecting students' technological learning in mathematics from the perspective of mathematics teachers in Shahrood was carried out through interviews (semi-structured). The research method is qualitative and uses the data-based method. The statistical population of the research includes all mathematics teachers in Shahrood, 17 of whom were selected using the snowball sampling method. The data obtained from the interviews were examined using the Strauss and Corbin coding technique and three stages of open coding, axial coding, and selective coding, and with the method of content analysis of the interview text. The research findings showed that methods and strategies also include the dimensions of creating effective two-way communication, using teaching aids, using web-based programs, robotics, advanced mathematics learning algorithms, support provided, and needs assessment in learning, which results in results such as student personal satisfaction, simplifying complex concepts for students, supporting decision-making, academic success, and social success. The results of this research are presented in the form of a theoretical model that includes causal factors such as the area of communication between student and teacher, the existence of motivation to learn, the existence of a requirement for learning, the student's attitude towards mathematics; the central phenomenon, which is learning mathematics, includes the dimensions of necessary actions by the teacher, necessary actions by the student, and the environmental conditions necessary for more effective learning.
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