Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses
Studies on the prediction of student success in distance learning have explored mainly demographics factors and student interactions with the virtual learning environments. However, it is remarkable that a very limited number of studies use information about the assignments submitted by students as...
Enregistré dans:
Auteurs principaux: | Aurora Esteban, Cristóbal Romero, Amelia Zafra |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/489849b8fbb1446c8d11a2663dea2cfb |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Prediction of future paths of mobile objects using path library
par: Leppäkoski Helena, et autres
Publié: (2021) -
Multiple Instance Classification for Gastric Cancer Pathological Images Based on Implicit Spatial Topological Structure Representation
par: Xu Xiang, et autres
Publié: (2021) -
Systematic Literature Review on Machine Learning and Student Performance Prediction: Critical Gaps and Possible Remedies
par: Boran Sekeroglu, et autres
Publié: (2021) -
Enhancing unsupervised medical entity linking with multi-instance learning
par: Cheng Yan, et autres
Publié: (2021) -
Pixel-Level Analysis for Enhancing Threat Detection in Large-Scale X-ray Security Images
par: Joanna Kazzandra Dumagpi, et autres
Publié: (2021)