
Tecnologías educativas móviles colaborativas para estudiantes ciegos. Una revisión sistemática
Author(s) -
Isadora Rocha de Almeida,
AUTHOR_ID,
Deller James Ferreira,
AUTHOR_ID
Publication year - 2020
Publication title -
revista latinoamericana de tecnología educativa
Language(s) - English
Resource type - Journals
ISSN - 1695-288X
DOI - 10.17398/1695-288x.20.2.83
Subject(s) - portuguese , context (archaeology) , process (computing) , collaborative learning , psychology , pedagogy , mathematics education , computer science , philosophy , linguistics , operating system , paleontology , biology
Traditional teaching methods lose prominence as new technologies emerge as aids inthe learning process. Ensuring new classroom dynamics and expanding the learning environmentbeyond the classroom is, in fact, a tempting additive for students who are developing in an era oftechnological ascension. Mobile learning or M-learning is, therefore, the most accessible andpopular way to offer educational dynamics to students, including those with some type ofdisability. Bringing together collaborative teaching, which allows students to work in groups andinteractively with each other, and the facilities provided by technology, the objective of the workis to present a systematic literature review pointing out the impact of collaborative mobiletechnologies for teaching people with Visual impairment. Following Kitchenham's systematicreview method, 592 articles in Portuguese and English were analyzed, 10 of which were selectedto answer the research questions. The results of this research reveal that the use of mobiletechnologies is efficient and more accessible, positively impacting the learning of students withvisual impairments, but still presents latent problems and challenges. This systematic reviewprovides the academic community with a current synthesis of research and development on thesubject, between 2015 and 2020, in different teaching environments regarding the educationallevel and context, characteristics, receptivity and challenges, always backed up by empirical evidence