Grade Prediction in Blended Learning Using Multisource Data
Today, blended learning is widely carried out in many colleges. Different online learning platforms have accumulated a large number of fine granularity records of students’ learning behavior, which provides us with an excellent opportunity to analyze students’ learning behavior. In this paper, based...
Main Authors: | Ling-qing Chen, Mei-ting Wu, Li-fang Pan, Ru-bin Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Scientific Programming |
Online Access: | http://dx.doi.org/10.1155/2021/4513610 |
Similar Items
-
Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data
by: Liang Zhao, et al.
Published: (2021-01-01) -
CITY-SCALE TAXI DEMAND PREDICTION USING MULTISOURCE URBAN GEOSPATIAL DATA
by: J. Yan, et al.
Published: (2020-08-01) -
Interpretable Pneumonia Detection by Combining Deep Learning and Explainable Models With Multisource Data
by: Hao Ren, et al.
Published: (2021-01-01) -
Modeling Polycentric Urbanization Using Multisource Big Geospatial Data
by: Zhiwei Xie, et al.
Published: (2019-02-01) -
Prediction of Wheat Grain Protein by Coupling Multisource Remote Sensing Imagery and ECMWF Data
by: Xiaobin Xu, et al.
Published: (2020-04-01)