SEPN: A Sequential Engagement Based Academic Performance Prediction Model-Reference-Cited by-同舟云学术

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SEPN: A Sequential Engagement Based Academic Performance Prediction Model

Published:2021-01-01 Issue:1 Volume:36 Page:46-53
ISSN:1541-1672
Container-title:IEEE Intelligent Systems
language:
Short-container-title:IEEE Intell. Syst.

Author:

Song Xiangyu^ORCID,Li Jianxin^ORCID,Sun Shijie^ORCID,Yin Hui^ORCID,Dawson Phillip,Doss Robin Ram Mohan^ORCID

Funder

ARC Linkage

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/9670/9378949/09136846.pdf?arnumber=9136846

Cited by 32 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

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2. Graph augmentation for node-level few-shot learning;Knowledge-Based Systems;2024-08

3. The power of Deep Learning techniques for predicting student performance in Virtual Learning Environments: A systematic literature review;Computers and Education: Artificial Intelligence;2024-06

4. AMPNet: Academic Multi-Task Prediction Network for Students' Grade and Graduation;2024 12th International Conference on Information and Education Technology (ICIET);2024-03-18

5. Predicting Student Performance in Online Learning: A Multidimensional Time-Series Data Analysis Approach;Applied Sciences;2024-03-16

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