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TEACHING AND LEARNING IN ART USING DIGITAL EDUCATIONAL RESOURCES: ELABORATION AND APPLICABILITY

Authors: MARQUES, Walter Rodrigues;

TEACHING AND LEARNING IN ART USING DIGITAL EDUCATIONAL RESOURCES: ELABORATION AND APPLICABILITY

Abstract

This article discusses a learning experience in active methodologies and digital educational technologies, carried out by Brazilian teachers, at the University of Coimbra (UC), Portugal. The objective is to report this experience and the application of what was studied and learned. As a methodology, it starts with the analysis of three Digital Educational Resources (RED), a requirement for completing the course. However, it briefly discusses the other Apps and active methodologies studied. The group of teachers working in the scope of public schools in Maranhão at the federal, state and municipal levels was contemplated by a notice resulting from an agreement between the Foundation for Research and Scientific and Technological Development of Maranhão (FAPEMA) and the University of Coimbra , about active methodologies and digital technologies aimed at applicability in the classroom. The experience took place in three stages, in the year 2022: the first in June, when the initial studies took place remotely; the second stage in July, which took place in person at the University of Coimbra and; the third stage in August and September, in the Maranhão classrooms, with the applicability of the acquired learning, ending with the presentation of the RED to the MATED coordination.

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Keywords

Technology, Active Methodologies, Apps, Art, Education

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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