Learning path planning methods based on learning path variability and ant colony optimization-Reference-Cited by-同舟云学术

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Learning path planning methods based on learning path variability and ant colony optimization

Published:2024-12 Issue: Volume:6 Page:200091
ISSN:2772-9419
Container-title:Systems and Soft Computing
language:en
Short-container-title:Systems and Soft Computing

Author:

Zhao Jing,Mao Haitao,Mao Panpan,Hao Junyong

Publisher

Elsevier BV

Reference31 articles.

1. Revolutionizing training and education? Three questions regarding massive open online courses (MOOCs);Weinhardt;Hum. Resour. Manag. Rev.,2019

2. Online learning: a panacea in the time of COVID-19 crisis;Dhawan;J. Educ. Technol. Syst.,2020

3. Online learning amid the COVID-19 pandemic: students' perspectives;Adnan;Online Submiss.,2020

4. Instructional strategies for online teaching in COVID-19 pandemic;Mahmood;Hum. Behav. Emerg. Technolog.,2021

5. The Challenges of online learning during the COVID-19 pandemic: an essay analysis of performing arts education students;Simamora;Stud. Learn. Teach.,2020

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1. Empowering education: Harnessing ensemble machine learning approach and ACO-DT classifier for early student academic performance prediction;Education and Information Technologies;2024-09-02

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