home > Programa - Sessão de Trabalhos Livres > Didactic-pedagogical instructional content: management and representation using systemic networks technique
Didactic-pedagogical instructional content: management and representation using systemic networks technique
Participantes:
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Núcleo de Computação Eletrônica, Universidade Federal do Rio de Janeiro, DATASUS - Centro Tecnológico do SUS - Ministério da Saúde - Brasil
Documentos:
The management of the didactic-pedagogical content in educational activities can become a difficult task, since to deal with qualitative information demands overdoses of interpretation. Systemic Networks provide possibility for representing the essence of the information about some educational resources - such as videos, books or software - that are available for professors and educators.
This paper is an extension of the former works published in Brazilian Symposium on Educational Informatics(2004) and in V Workshop in Medical Informatics(2005), with two new details: First it presents deeper the GRS – Gerador de Rede Sistêmicas software as a potential didactic-pedagogical content manager. Second, readers now can experiment watching the video using the
Internet and, after that, they can access the network, analyse it deeper and criticize the potential uses for the network generated. Then the networks can be modified at distance, in a collaborative way, following the suggestions made. As a resu lt, video content representation can be closer to users reality.
This paper is an extension of the former works published in Brazilian Symposium on Educational Informatics(2004) and in V Workshop in Medical Informatics(2005), with two new details: First it presents deeper the GRS – Gerador de Rede Sistêmicas software as a potential didactic-pedagogical content manager. Second, readers now can experiment watching the video using the
Internet and, after that, they can access the network, analyse it deeper and criticize the potential uses for the network generated. Then the networks can be modified at distance, in a collaborative way, following the suggestions made. As a resu lt, video content representation can be closer to users reality.