Student Profile Modeling Using Boosting Algorithms

The student profile has become an important component of education systems. Many systems objectives, as e-recommendation, e-orientation, e-recruitment and dropout prediction are essentially based on the profile for decision support. Machine learning plays an important role in this context and severa...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal of web-based learning and teaching technologies Jg. 17; H. 5; S. 1 - 13
Hauptverfasser:	Hamim, Touria, Benabbou, Faouzia, Sael, Nawal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hershey IGI Global 01.09.2022
Schlagworte:	Academic Achievement Academic Failure Addition Algorithms Artificial Intelligence Classification Clustering College Faculty Comparative analysis Comparative Education Comparative studies Datasets Dropouts Dropping out Educational activities Educational systems Educational Technology Elimination Feature selection Influence of Technology Machine learning Man Machine Systems Mathematics Mathematics Achievement Periodicals Prediction Profiles Recruitment Recursion Regression (Statistics) Student Characteristics Students Supervision World Problems
ISSN:	1548-1093, 1548-1107
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!