Predictive Analysis for Student Retention by Using Neuro-Fuzzy Algorithm

Adil, Mahum; Tahir, Faiza; Maqsood, Sahar

doi:10.1109/ceec.2018.8674216

2018 10th Computer Science and Electronic Engineering (CEEC) 2018

DOI: 10.1109/ceec.2018.8674216

|View full text |Cite

Predictive Analysis for Student Retention by Using Neuro-Fuzzy Algorithm

Mahum Adil

Faiza Tahir

Sahar Maqsood

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Is it possible to predict academic performance? An analysis from educational technology.

Molina

Cancell

2021

revistafuentes

View full text Add to dashboard Cite

Predecir el rendimiento académico es un elemento clave en la educación, permitiéndole al profesorado diseñar acciones didácticas preventivas. Diversas disciplinas intervienen en este proceso predictivo, siendo las analíticas de aprendizaje, el aprendizaje automático, la minería de datos educativos las redes neuronales artificiales y las teorías difusas, las de mayor influencia. Se presenta una revisión sistemática a la literatura científica (2010-marzo 2020) presente en Scopus, IEEE Xplore, ACM Digital Library y Springer, con el objetivo valorar el cómo se ha comportado la predicción del rendimiento académico en dos escenarios: (1) modalidades de estudios online (en línea) y semipresencial; y (2) Apoyo tecnológico a la modalidad presencial. Se concluye el artículo con la determinación de las tendencias entre las disciplinas de las tecnologías educativas y las variables del rendimiento académico.

show abstract

Is it possible to predict academic performance? An analysis from educational technology.

Molina

Cancell

2021

revistafuentes

View full text Add to dashboard Cite

show abstract

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.

Predictive Analysis for Student Retention by Using Neuro-Fuzzy Algorithm

Cited by 1 publication

References 12 publications

Is it possible to predict academic performance? An analysis from educational technology.

Is it possible to predict academic performance? An analysis from educational technology.

Contact Info

Product

Resources

About