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Discovering the causes of Academic Retention

employing machine learning

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  • 56 Seiten
  • 2 Lesestunden

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Focusing on the challenges of academic retention in higher education, this work explores how educational data mining can aid in understanding and preventing retention issues. Through a systematic literature review, it identifies key data mining techniques and tools relevant to this context, while also highlighting the primary factors contributing to academic retention. The findings aim to provide valuable insights for researchers and institutions seeking to enhance student retention strategies.

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Discovering the causes of Academic Retention, Bruno Torres Marques

Sprache
Erscheinungsdatum
2023
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Titel
Discovering the causes of Academic Retention
Untertitel
employing machine learning
Sprache
Englisch
Erscheinungsdatum
2023
Einband
Paperback
Seitenzahl
56
ISBN13
9786206000389
Reihe
Beschreibung
Focusing on the challenges of academic retention in higher education, this work explores how educational data mining can aid in understanding and preventing retention issues. Through a systematic literature review, it identifies key data mining techniques and tools relevant to this context, while also highlighting the primary factors contributing to academic retention. The findings aim to provide valuable insights for researchers and institutions seeking to enhance student retention strategies.