Two-layer ensemble prediction of students’ performance using learning behavior and domain knowledge

Priyambada, Satrio Adi; Usagawa, Tsuyoshi; Er, Mahendrawathi

doi:10.1016/j.caeai.2023.100149

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Two-layer ensemble prediction of students’ performance using learning behavior and domain knowledge

Cited by 4 publications

References 15 publications

Student Performance Prediction Model Based on Course Description and Student Similarity

Student Performance Prediction Model Based on Course Description and Student Similarity

Curriculum analytics in higher education institutions: a systematic literature review

Blended Learning Behaviors Analysis Based on BP-Bagging Classification Model

Contact Info

Product

Resources

About