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.
Employment of Data Mining in the discovery of Driving Factors
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.
The role of higher education institutions in encouraging the practice
Focusing on the critical role of entrepreneurship in economic and social development, the book delves into the concepts of Entrepreneurial Intention and Entrepreneurial Orientation. It explores how these factors influence an individual's capability to innovate and adapt businesses to address current challenges. Through a case study, the work evaluates the extent to which a university fosters entrepreneurial orientation among its students, emphasizing the importance of creativity and strategic management in cultivating future entrepreneurs.