Prediction of students’ procrastination behaviour through their submission behavioural pattern in online learning-Reference-Cited by-同舟云学术

Prediction of students’ procrastination behaviour through their submission behavioural pattern in online learning

Published:2020-05-14 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Yang Yeongwook,Hooshyar Danial,Pedaste Margus,Wang Minhong,Huang Yueh-Min,Lim Heuiseok

Funder

ASTRA per ASPERA

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-020-02041-8.pdf

Reference47 articles.

1. Abu Tair MM, El-Halees AM (2012) Mining educational data to improve students’ performance: a case study. Min Educ Data Improve Stud Perform Case Study 2

2. Ackerman DS, Gross BL (2005) My instructor made me do it: task characteristics of procrastination. J Mark Educ 27:5–13

3. Ahmad F, Ismail NH, Aziz AA (2015) The prediction of students’ academic performance using classification data mining techniques

4. Akram A, Fu C, Li Y et al (2019) Predicting students’ academic procrastination in blended learning course using homework submission data. IEEE Access 7:102487–102498. https://doi.org/10.1109/ACCESS.2019.2930867

5. Azevedo R, Cromley JG, Winters FI et al (2005) Adaptive human scaffolding facilitates adolescents’ self-regulated learning with hypermedia. Instr Sci 33:381–412. https://doi.org/10.1007/s11251-005-1273-8

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Memory-Based Dynamic Bayesian Networks for Learner Modeling: Towards Early Prediction of Learners’ Performance in Computational Thinking;Education Sciences;2024-08-21

2. Predictive analysis of college students’ academic procrastination behavior based on a decision tree model;Humanities and Social Sciences Communications;2024-07-03

3. The Temporal Dynamics of Procrastination and its Impact on Academic Performance: The Case of a Task-oriented Programming Course;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

4. Evaluating Boosting Algorithms for Academic Performance Prediction in E-Learning Environments;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

5. Early Prediction of Students’ Performance Using a Deep Neural Network Based on Online Learning Activity Sequence;Applied Sciences;2023-08-03