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• W4385719178 abstract "Abstract&#x0D; This research aims to investigate the importance of educational data analysis as a powerful tool to gain valuable insights into student performance. With the advancement of technology and the increased availability of learning management systems and online platforms, educational institutions have access to a significant amount of educational data. The analysis of this data provides an opportunity to identify patterns, trends, and correlations, offering valuable information to improve the quality of education. By analyzing educational data, it is possible to gain insights into students' academic progress, identify areas for improvement, and personalize teaching according to each student's individual needs. Through predictive analysis, it is possible to identify students at risk of low performance and intervene early by providing additional support and resources to enhance their outcomes. Furthermore, data analysis can help identify effective teaching methods and strategies that can be implemented to promote student retention and engagement. Technology plays a fundamental role in educational data analysis, providing the necessary tools and resources to collect, store, and process large volumes of data. The use of algorithms and machine learning techniques allows for more sophisticated analysis, identifying complex patterns and insights that would be challenging to perceive manually. Additionally, data visualization is a powerful tool to communicate complex information clearly and comprehensibly. However, it is essential to highlight that educational data analysis also presents challenges and ethical considerations. Privacy and data security are fundamental concerns, requiring the implementation of adequate data protection policies and practices. Moreover, it is necessary to ensure that data analysis is conducted transparently and responsibly, taking into account ethical aspects and respecting student privacy." @default.
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• W4385719178 date "2023-08-10" @default.
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• W4385719178 title "INTELIGÊNCIA ARTIFICIAL COMO FERRAMENTA DE APOIO AO ENSINO" @default.
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• W4385719178 doi "https://doi.org/10.56083/rcv3n8-061" @default.
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