Algorithms, engagement, social networks and education
Abstract
This article aims to discuss questions about Education permeated by the new social networks that are permanently in contact with students. Therefore, our main objective is to analyze how algorithms, engagement and social networks affect individuals and, more specifically, students. To do so, we first checked the characteristics of the algorithms, discussing what they are, what their influence on daily life, the problem of arbitrary judgment and its undecipherable black box format. Ahead, we analyze social networks and the engagement process. We discussed what these networks are, their influence in the contemporary world, the lack of filtering in posts and the feature of opaque screen. We also analyzed the capitalist question that only one network of each type can survive in the market, in addition to the consequences of forced engagement, the effects of interactions and relationships with false news or conspiracy theories, as well as the hierarchy between man and machine in that configuration. Finally, we discuss the educational process, in which we present issues such as the difficulty of students' concentration, the difficulty of sorting the correct information and the teacher's healing function. Our methodological basis consists of bibliographic and exploratory research, with the purpose of broadening the discussion. Our main result is precisely the debate around the theme, seeking to present elements for a better understanding of the phenomenon, thereby trying to foster new possibilities for understanding these elements and a better teaching-learning relationship in the world connected by social networks and their algorithms. The main conclusion that we can draw is that the social networks that are interwoven in society influence too much education and the ways in which young people learn, changing some elements at the heart of education, and that there are many challenges posed and to come, and that it is up to the professionals of education to know the machine so as not to be overpowered by it.
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References
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