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Focusing on the critical issue of student dropout in education, this work explores its multifaceted impacts, including social and economic losses. It emphasizes the necessity of developing effective predictive methods to identify students at risk of leaving higher education. By utilizing a knowledge discovery approach and analyzing a database, the study aims to uncover patterns and group students, enabling institutions to implement proactive measures to reduce dropout rates.
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Academic Evasion, Bruno Torres Marques, Leonardo Torres Marques
- Language
- Released
- 2023
- product-detail.submit-box.info.binding
- (Paperback)
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- Title
- Academic Evasion
- Subtitle
- Employment of Data Mining in the discovery of Driving Factors
- Language
- English
- Publisher
- Our Knowledge Publishing
- Released
- 2023
- Format
- Paperback
- Pages
- 56
- ISBN13
- 9786206024811
- Series
- Tags
- Non-Fiction, Textbooks, Self-Help
- Description
- Focusing on the critical issue of student dropout in education, this work explores its multifaceted impacts, including social and economic losses. It emphasizes the necessity of developing effective predictive methods to identify students at risk of leaving higher education. By utilizing a knowledge discovery approach and analyzing a database, the study aims to uncover patterns and group students, enabling institutions to implement proactive measures to reduce dropout rates.