There is less attention on examining algorithmic fairness in secondary education dropout predictions. Also, the inclusion of protected attributes in machine learning models remains a subject of debate. This study delves into the use of machine learning models for predicting high school dropouts, focusing on the role of protected attributes like…

This study provides a thorough bibliometric analysis of the research landscape concerning the application of soft computing in higher education. This study collects 5,140 pieces including books, book chapters, journal articles published in respected journals, and conference papers presented at notable international conferences that were published…

This book proposes a new paradigm for English language teaching based on concepts from English for Specific Purposes (ESP) research and applications as well as from growing evidence relating pattern recognition to language learning ability. The contributors to the volume argue that learners should not try to become proficient all-around users of…