Educational Sustainability through Big Data Assimilation to Quantify Academic Procrastination Using Ensemble Classifiers

Educational Sustainability through Big Data Assimilation to Quantify Academic Procrastination Using Ensemble Classifiers

Ubiquitous online learning is continuing to expand, and the factors affecting success and educational sustainability need to be quantified. Procrastination is one of the compelling characteristics that students observe as a failure to achieve the weaker outcomes. Past studies have mainly assessed th...

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Bibliographic Details
Main Authors: Syed Muhammad Raza Abidi, Wu Zhang, Saqib Ali Haidery, Sanam Shahla Rizvi, Rabia Riaz, Hu Ding, Se Jin Kwon
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sustainability
Subjects:
academic procrastination
tree ensemble classifiers
machine learning
education for sustainable development
intelligent tutoring system
SAS Visual data mining and machine learning
Online Access:https://www.mdpi.com/2071-1050/12/15/6074

Internet

https://www.mdpi.com/2071-1050/12/15/6074

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