PEDAGOGICAL POTENTIAL OF NEUROADAPTIVE PLATFORMS BASED ON ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.30890/2567-5273.2025-40-03-083Keywords:
neuroadaptive platforms, artificial intelligence, education, cognitive load, personalizationAbstract
The article focuses on analyzing and substantiating the pedagogical potential of AI-based neuroadaptive platforms that integrate biosignal processing technologies into modern educational practices. The purpose of the study is to identify and substantiateReferences
Beauchemin N., Charland P., Karran A., Boasen J., Tadson B., Sénécal S., Léger P.M. Enhancing learning experiences: EEG-based passive BCI system adapts learning speed to cognitive load in real-time, with motivation as catalyst. Front. Hum. Neurosci., 2024, №18, 1416683. URL: https://doi.org/10.3389/fnhum.2024.1416683
Bizami N.A., Tasir Z., Kew S.N. Innovative pedagogical principles and technological tools capabilities for immersive blended learning: a systematic literature review. Educ. Inf. Technol., 2023, №28, 1373–1425. URL: https://doi.org/10.1007/s10639-022-11243-w
Çelik F., Baturay M.H. Technology and innovation in shaping the future of education. Smart Learn. Environ., 2024, №11, 54. URL: https://doi.org/10.1186/s40561-024-00339-0
Fairclough S. Neuroadaptive technology and the self: a postphenomenological perspective. Philos. Technol., 2023, №36, 30. URL: https://doi.org/10.1007/s13347-023-00636-5
Lin X., et al. A case study investigating the utilization of ChatGPT in online discussions. Online Learning Journal, 2024. URL: https://files.eric.ed.gov/fulltext/EJ1428200.pdf
Mena Octavio M., González Argüello M.V., Pujolà J.-T. ChatGPT as an AI L2 teaching support: a case study of an EFL teacher. Technology in Language Teaching & Learning, 2024, №6(1), 1-142. URL: https://doi.org/10.29140/tltl.v6n1.1142
Mustafa M.Y., et al. A systematic review of literature reviews on artificial intelligence in education. Smart Learn. Environ., 2024, №11, 124167. URL: https://slejournal.springeropen.com/articles/10.1186/s40561-024-00350-5
Tan L.Y., et al. Artificial intelligence enabled adaptive learning platforms: a review. Discover Education, 2025, №9, 100429. URL: https://www.sciencedirect.com/science/article/pii/S2666920X25000694
U.S. Department of Education, Office of Educational Technology. Artificial intelligence and future of teaching and learning: insights and recommendations. ed.gov, 2023. URL: https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf
Wang S., et al. Artificial intelligence in education: a systematic literature review. Expert Systems with Applications, 2024, №252(Part A), 124167. URL: https://www.sciencedirect.com/science/article/pii/S0957417424010339
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
