Data-Driven Artificial Intelligence in Education: A Comprehensive Review-Reference-Cited by-同舟云学术

Data-Driven Artificial Intelligence in Education: A Comprehensive Review

Published:2024 Issue: Volume:17 Page:12-31
ISSN:1939-1382
Container-title:IEEE Transactions on Learning Technologies
language:
Short-container-title:IEEE Trans. Learning Technol.

Author:

Ahmad Kashif¹^ORCID,Iqbal Waleed²^ORCID,El-Hassan Ammar³^ORCID,Qadir Junaid⁴^ORCID,Benhaddou Driss⁵^ORCID,Ayyash Moussa⁶^ORCID,Al-Fuqaha Ala⁷^ORCID

Affiliation:

1. Department of Computer Science, Munster Technological University, Cork, Ireland

2. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.

3. Department of Computer Science, Princess Sumaya University for Technology Amman, Amman, Jordan

4. Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha, Qatar

5. Department of Science Engineering Technology, College of Engineering, University of Houston, Houston, TX, USA

6. Computing, Information, Mathematical Sciences and Technology, Chicago State University, Chicago, IL, USA

7. Information and Computing Technology (ICT) Division, College of Science and Engineering (CSE), Hamad Bin Khalifa University, Doha, Qatar

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,General Engineering,Education

Link

http://xplorestaging.ieee.org/ielx7/4620076/10376229/10247566.pdf?arnumber=10247566

Reference201 articles.

1. Artificial intelligence innovation in education: A twenty-year data-driven historical analysis

2. Enhancing teaching and learning through educational data mining and learning analytics: An issue brief;Bienkowski;Office Educ. Technol., US Dept. Educ.,2012

3. Gthe use of artificial intelligence (AI) in education,2020

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