Predicting Students’ Academic Procrastination in Blended Learning Course Using Homework Submission Data

Predicting Students’ Academic Procrastination in Blended Learning Course Using Homework Submission Data

Academic procrastination has been reported affecting students' performance in computer-supported learning environments. Studies have shown that students who demonstrate higher procrastination tendencies achieve less than the students with lower procrastination tendencies. It is important for a...

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Bibliographic Details
Main Authors: Aftab Akram, Chengzhou Fu, Yuyao Li, Muhammad Yaqoob Javed, Ronghua Lin, Yuncheng Jiang, Yong Tang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Blended learning
computer-assisted learning
educational data mining as an inquiry method
e-learning
higher education
learning management systems
Online Access:https://ieeexplore.ieee.org/document/8778644/

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https://ieeexplore.ieee.org/document/8778644/

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