A Hybrid Model for E-Learning Resources Recommendations in the Developing Countries-Reference-Cited by-同舟云学术

A Hybrid Model for E-Learning Resources Recommendations in the Developing Countries

Published:2020-07-10 Issue: Volume: Page:
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Container-title:Proceedings of the 2020 4th International Conference on Deep Learning Technologies (ICDLT)
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Author:

Niyigena Jean-Pierre¹,Jiang Qingshan²

Affiliation:

1. Shenzhen Key Lab for High Performance Data Mining, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China

2. Shenzhen Key Lab for High Performance Data Mining, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Funder

CAS-TWAS President's Fellowship for International Ph.D. students

Shenzhen Research Foundation Grant:

National Nature Science Foundation Grant:

Guangdong R&D Grants:

National and Local Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology

Publisher

ACM

Reference11 articles.

1. E-Learning in the 21st Century

2. e-Learning and the Science of Instruction

3. Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty

4. Modeling the Measurements of the Determinants of ICT Fluency and Evolution of Digital Divide Among Students in Developing Countries—East Africa Case Study

5. Tarus J. K. Niu Z. and Yousif A. A hybrid knowledge-based recommender system for e-learning based on ontology and sequential pattern mining. Future Generation Computer Systems-the International Journal Of Escience 72(Jul 2017) 37--48. Tarus J. K. Niu Z. and Yousif A. A hybrid knowledge-based recommender system for e-learning based on ontology and sequential pattern mining. Future Generation Computer Systems-the International Journal Of Escience 72(Jul 2017) 37--48.

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