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Learning geometry through m-learning

Authors: Raya-Fernández, Álvaro; Sánchez-Cruzado, Cristina;

Learning geometry through m-learning

Abstract

Mathematics education is key to the development of responsible future citizens, who must be able to understand and analyse their environment. To that end, using ICT we have proved a noticeable improvement in students´ attitudes towards mathematics, making them demonstrate a greater critical spirit, perseverance, precision and creativity, as well as an increase in their flexibility of thought (Garcia and Romero, 2009). We introduced m-learning methodology based on the use of mobile phones in classrooms, which takes advantage of their interest in technology and is closer to the students’ reality. This methodology gives them access to information without any spatial limitation, thus offering learning opportunities from beyond the classroom (Castro et al., 2016). Focusing on learning geometry, we used GeoGebra 3D, a virtual reality mobile app, which encourages them to create, manipulate and interact with geometric 3D models. We carried out an action-research in a second grade high school, with 28 students. We detected important deficiencies after an initial observation of students´ three-dimensional geometric knowledge. We developed a didactic mathematic proposal using m-learning, and we observed what was happened in the classrooms.

Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.

Country
Spain
Related Organizations
Keywords

Mathematical education, Matemáticas - Enseñanza asistida por ordenador - Congresos, Mathematics teaching, Geometry, Geometría - Estudio y enseñanza - Congresos, Mathematics education, Matemáticas - Estudio y enseñanza - Congresos, M-Learning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green