A Courses Recommendation System based on Graph Clustering and Ant Colony Optimization in MOOC Environment

Author:

Havas Shahla1,Imanian Nafiseh2,Moradi Parham1

Affiliation:

1. University of Kurdistan,Department of Computer Engineering

2. Amirkabir University of Technology,Department of Computer Science

Publisher

IEEE

Reference22 articles.

1. Annotated Examples and Parameterized Exercises: Analyzing Students’ Behavior Patterns

2. Data-Driven Modeling of Learners' Individual Differences for Predicting Engagement and Success in Online Learning, in Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization;akhuseyinoglu;2021 Association for Computing Machinery,0

3. Studying learning in the worldwide classroom research into edX's first MOOC;breslow;Research & Practice in Assessment,2013

4. Student skill and goal achievement in the mapping with google MOOC

5. Learning latent engagement patterns of students in online courses;ramesh;Twenty-Eighth AAAI Conference on Artificial Intelligence,0

Cited by 1 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. Recommender Systems in Continuing Professional Education for Public Transport: Challenges of a Human-Centered Design;Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization;2023-06-16

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