NEUROANCHORING OF THINKING: A NEW METACOGNITIVE MODEL OF THINKING AND CONTENT LABELING AS A CATALYST FOR THE RAPID TRANSFORMATION OF EDUCATION SYSTEM FROM LEVEL 2.0 TO LEVEL 5.0
DOI:
https://doi.org/10.69635/mssl.2025.1.2.27Keywords:
Neuroanchoring, Cognitive Labeling, Types and Algorithms of Thinking, Brain Neural Networks, Meta-Cognition, WOW-Lessons (Wonders of Wisdom), Hersonalized Learning, Artificial Intelligence in Education, Digital Educational Cases, Neuroprofiling, Educational Neuropsychology, Thinking Skills, AI-Powered Educational Platforms, Virtual Meta-Learning, Cognitive Strategies and Attention, Cognitive Routing, Anchoring Effect in Learning, Adaptive Learning, Education Model 5.0, Prospects of Neuroanchoring ModelsAbstract
This article introduces the neuroanchoring model of thinking – an innovative metacognitive tool that labels the educational content and type of thinking within learning activities. The model is applied in digital WOW-lessons, enhancing perception, attention, motivation, automation, and increasing the technology of the education system to level 5.0.
References
Shiwlani, A., Hasan, S. U., & Kumar, S. (2024). Artificial Intelligence in Neuroeducation: A Systematic Review of AI Applications Aligned with Neuroscience Principles for Optimizing Learning Strategies (Journal of Development and Social Sciences). DOI:10.47205/jdss.2024(5-IV)50
Davis Jaldi, C., Ilkou, E., Schroeder, N., & Shimizu, C. (2024). Education in the Era of Neurosymbolic AI. arXivhttps://doi.org/10.48550/arXiv.2411.12763
Oleksii Kostenko, Ph.D. (Law) (2025). Ai Law Model For Ethical Legislation: Strategic Recommendations For The Regulation Of Artificial Intelligence. SciFormat Publishing https://sciformat.ca/books/index.php/sf/catalog/book/7
Li, P.H., Lee, J.CK. AI, Brain, and Child: navigating the intersection of artificial intelligence, neuroscience, and child development. AI Brain Child 1, 3 (2025). https://doi.org/10.1007/s44436-025-00004-4
Pradeep K, Sulur Anbalagan R, Thangavelu AP, Aswathy S, Jisha VG and Vaisakhi VS (2024) Neuroeducation: understanding neural dynamics in learning and teaching. Front. Educ. 9:1437418. doi: 10.3389/feduc.2024.1437418
Williamson, B. (2025). Learning Brains: Educational Neuroscience and Real World Classroom Interbrain Coherence Research. Teaching & Teacher Education journal. link.springer.com+3tandfonline.com+3codeactsineducation.wordpress.com+3
Granado De la Cruz, E., Gago-Valiente, F. J., Gavín-Chocano, Ó., & Pérez-Navío, E. (2025). Education, Neuroscience, and Technology: A Review of Applied Models. Information, 16(8), 664. https://doi.org/10.3390/info16080664
de Barros Camargo, C., & Fernández, A.H. (2024). Neuropedagogy and Neuroimaging of Artificial Intelligence and Deep Learning. Educational Process:International Journal, 13(3): 97-115. https://doi.org/10.22521/edupij.2024.133.6
José Carlos Guimarães Junior, Hilke Carlayle de Medeiros Costa, Jadilson Marinho da Silva, Maria Helena Rodrigues Guimarães, Paulo Henrique de Faria, Francisco Carneiro Braga, Fernando Bueno Vieira, Elder Henrique Silva Rodrigues de Melo. (2024). Artificial intelligence and neuroeducation: The future of personalized teaching. Lumen et Virtus, 15(39), 2241–2251. https://doi.org/10.56238/levv15n39-051
Frendo, C. S., & Vassallo, D. (2025). Educational Neuroscience Meets AI: A Framework for Secondary Science Teaching. Malta Journal of Education, 6(1), 05–21. https://doi.org/10.62695/RRUI1028
Vasyl SHULIAR, Valentyna SHKURKO, Tetiana POLUKHTOVYCH, Yuliia SEMENIAKO, Liudmyla SHANAIEVA-TSYMBAL, Lesia KOLTOK. (2023). Using artificial intelligence in education.BRAIN. Broad Research in Artificial Intelligence and Neuroscience 14(4), 445–460. https://doi.org/10.18662/brain/14.3/488
Garzón, J., Patiño, E., & Marulanda, C. (2025). Systematic Review of Artificial Intelligence in Education: Trends, Benefits, and Challenges. Multimodal Technologies and Interaction, 9(8), 84. https://doi.org/10.3390/mti9080084
Eras Lévano, C. J., Balarezo León, D. G., Guerrero Granda, H. S., & Jaramillo Villafuerte, R. F. (2025). Application of Artificial Intelligence (AI) in higher education: Impact, determining factors and their relationship with learning. ANNALS SCIENTIFIC EVOLUTION, 4(3), 2183–2205. https://doi.org/10.70577/ASCE/2183.2205/2025
Frendo, C. S., & Vassallo, D. (2025). Educational Neuroscience Meets AI: A Framework for Secondary Science Teaching. Malta Journal of Education, 6(1), 05–21. https://doi.org/10.62695/RRUI1028
T. Drivas and S. Doukakis, "Introducing the Fundamentals of Artificial Intelligence to K-12 Classrooms According to Educational Neuroscience Principles," 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Ioannina, Greece, 2022, pp. 1-7, doi: 10.1109/SEEDA-CECNSM57760.2022.9932989.
Devlin, H. (2023, May 1).AI makes non-invasive mind-reading possible by turning thoughts into text. The Guardian. URL: https://www.theguardian.com/technology/2023/may/01/ai-makes-non-invasive-mind-reading-possible-by-turning-thoughts-into-text?utm_source=chatgpt.com
Qamar, N., Ullah, I. ., Zeib, F. ., & Khan, M. Z. (2025). The Role of AI in Reducing Cognitive Overload Complex Learning Environments. Review of Applied Management and Social Sciences, 8(2), 1111-1127. https://doi.org/10.47067/ramss.v8i2.541
Human bias in AI models? Anchoring effects and mitigation strategies in large language models, Journal of Behavioral and Experimental Finance, Volume 43, 2024, 100971, ISSN 2214-6350, https://doi.org/10.1016/j.jbef.2024.100971. URL:https://www.sciencedirect.com/science/article/pii/S2214635024000868
Guangrui Fan, Dandan Liu, Lihu Pan1 and Yishan Huang3Fan, J. (2025). Creative momentum transfer: How timing and labeling of AI suggestions shape iterative ideation.In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI-25). URL: https://www.ijcai.org/proceedings/2025/1142.pdf?utm_source=chatgpt.com
Watts, K. J. (2025). Paying the Cognitive Debt: An Experiential Learning Framework for Integrating AI in Social Work Education. Education Sciences, 15(10), 1304. https://doi.org/10.3390/educsci15101304
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