Towards a Personalized Learning Experience Using Reinforcement Learning
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This presents a great opportunity for AI's applications in education for further enhancing students' learning outcomes, reducing teachers' workloads and making learning personalized, interactive and fun for teachers and students.
“This presents a great opportunity for AI’s applications in education for further enhancing students’ learning outcomes, reducing teachers’ workloads [30] and making learning personalized [64], interactive and fun [50, 53] for teachers and students.”
From Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021 (2022) · cites this paper as [64]
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- Authors
- Shawky, D., & Badawi, A.
- Affiliations
- Cairo University (EG)
- Zewail City of Science and Technology (EG)
- Corresponding author
- Shawky, Doaa
- ORCID
- Badawi, Ashraf
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer International Publishing
- Published
- 2018-12-08
- Pages
- 169-187
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W2903826588
- Cited by
- 45
- References
- 51
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 8 · 2023: 9 · 2022: 5 · 2021: 5 · 2020: 5 · 2019: 2
- FWCI
- 4.50
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Studies in computational intelligence (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- personalized learning, adaptive learning systems, reinforcement learning, learning material recommendation, student modeling, cooperative learning, technology acceptance, learning analytics, big data
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