AI-enabled adaptive learning systems: A systematic mapping of the literature
By Tumaini Kabudi, Ilias O. Pappas, Dag H. Olsen. Computers and Education: Artificial Intelligence, 2021
593 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems
View Paper: https://www.semanticscholar.org/paper/5c0f06dc8eb93497675da02b5e1b4c3440f1736c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
In Information Systems
Citations in the corpus
- New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023, background): “AI-driven learning platforms can help individuals identify skill gaps, access relevant learning resources, and track their progress, facilitating career growth and adaptability [105].”
- Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020 (2022, background): “Research must be published from 2011 to 2020. Full-text is available. 7898 Education and Information Technologies (2022) 27:7893–7925”
- “Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” (2023, background): “These technologies has changed how students learn and instructors teach, creat - ing new economic options for education providers and paving the way for AI-based adaptive learning systems (Kabudi et al., 2021).”