Potencialidades de alguns vídeos do YouTube sobre o Teorema de Pitágoras

Abstract

Through this paper, we intend to analyze the videos related to the Pythagorean theorem, according to three perspectives: the content of the video, the content and quantity of the commentary of the video and the analysis of video link and comment. This article seeks to analyze the videos related to the Pythagorean theorem, according to three perspectives: video content, content and quantity of comments and the relationship between video content and comment. This analysis is done in three moments: the first time, we analyze about the content of the video, in terms of oral and written scientific accuracy and quality; the second time, we observed a quantity of positive and / or negative commentaries, the commentaries of "like" and "dislike"; Finally, we continue to analyze the relationship of the commentaries of the display / video content. Such an analysis is performed in three stages: at first, the analysis of the video content in terms of written and oral scientific accuracy and its quality; in the second time, the amount of positive and/or negative comments, the comments by "like" and "dislike"; Finally, the analysis of the relationship between the comments with the screening/video content. Videos were analyzed, obtained via YouTube. The methodological procedure for data collection, this analysis was based on the definition of search expressions, inclusion criteria, and the analysis of the quantity and quality of commentaries entered by users. Based on the analysis of the video most watched and commented on, showing that there is no scientific support preferences. The videos we analyzed can be found on YouTube. Concerning the methodological procedure for data collection, this analysis was based on the definition of search expressions, inclusion criteria and the analysis of the quantity and quality of comments posted by users. In this analysis emerge some results indicating that the most viewed and commented videos do not gain preference for its scientific accuracy.