Neuroeducation and Artificial Intelligence: Emerging Strategies for the Transformation of Learning in the Digital Age
DOI:
https://doi.org/10.63969/hd5wg469Keywords:
neuroeducation, artificial intelligence, personalized learning, critical thinking, reading comprehension, neuroplasticityAbstract
The convergence of neuroeducation and artificial intelligence (AI) represents a transformative paradigm in contemporary teaching-learning processes. This article examines how the integration of neuroscientific principles with AI technologies is reconfiguring educational practices, particularly in developing higher-order cognitive competencies such as reading comprehension and critical thinking. Through systematic analysis of recent literature (2024-2026), emerging strategies that optimize cognitive performance through adaptive platforms, real-time feedback, and personalized learning are identified. Findings reveal that AI offers significant opportunities to individualize instruction and reduce cognitive load, although its implementation requires a balanced approach that preserves the teacher's mediating role. Pedagogical implications, ethical challenges related to data privacy, and the need to develop critical digital competencies are discussed. The article concludes that the synergy between neuroeducation and AI, when implemented with pedagogical rigor, can significantly enhance learning processes.
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References
Asrifan, A., et al. (2025). Enhancing critical thinking. Advances in Computational Intelligence and Robotics Book Series. https://doi.org/10.4018/979-8-3373-4576-5.ch012
Baksi, T. (2025). Optimizing learning through educational psychology, cognitive load theory, and neuroplasticity insights. SAYAM, 3(1), 47–60. https://doi.org/10.63419/sayam.v3i1.105
Brazão, J., et al. (2025). Artificial intelligence and critical thinking: a case study with educational chatbots. Frontiers in Education. https://doi.org/10.3389/feduc.2025.1630493
Buenaño Pesántez, C. V., Hernández Mite, K. D., Macías Acosta, R. E., Tomalá de la Cruz, A. del R., & Marqués Molias, L. (2025). Artificial intelligence and neuroeducation in science learning: A systematic review of emotional, motivational, and attentional factors (2020–2025). TPM – Testing, Psychometrics, Methodology in Applied Psychology, 32(S9), 613–624. https://tpmap.org/submission/index.php/tpm/article/view/3324
Castillo, M., et al. (2025). Uso de inteligencia artificial y chatbots en el aprendizaje de la lectura y escritura en educación general básica. https://doi.org/10.64018/neosapiencia.v3i2.59
Coral, M., et al. (2025). Convergencia de la neuroeducación y la inteligencia artificial en entornos educativos: enfoques innovadores para potenciar el rendimiento cognitivo. https://doi.org/10.63969/twpxr047
Dzhanegizova, A., et al. (2024). Artificial intelligence in education: analysis of dynamics, perception, and prospects for integration. https://doi.org/10.58732/2958-7212-2023-4-34-49
Frendo, M., et al. (2025). Educational neuroscience meets AI: a framework for secondary science teaching. https://doi.org/10.62695/hwmd7705
Gaitán, J., et al. (2025). Neuroeducación e inteligencia artificial en contexto educativo: estrategias emergentes para la mejora del rendimiento cognitivo. https://doi.org/10.63969/pvy1rs84
Guimarães, L., et al. (2024). Inteligência artificial e neuroeducação: o futuro do ensino personalizado. https://doi.org/10.56238/levv15n39-051
Hang, L. (2025). Study on the cultivation paths of critical thinking ability in college English under the artificial intelligence environment. Journal of Modern Educational Theory and Practice, 2(3). https://doi.org/10.70767/jmetp.v2i3.600
Mokhtari, K., et al. (2025). Thinking with machines: leveraging artificial intelligence (AI) to foster metacognitive reading comprehension. https://doi.org/10.5772/intechopen.1012695
NEUROIA. (2025). Neuroeducación e inteligencia artificial para potenciar el aprendizaje. https://doi.org/10.5281/zenodo.17408500
Nykyporets, S., et al. (2025). Advancing critical thinking skills in future engineers through the analysis of AI-generated and AI-verified English-language sources. Aktualʹnì Pitannâ u Sučasnìj Naucì. https://doi.org/10.52058/2786-6300-2025-8(38)-1143-1155
Peralta, R., et al. (2025). Aplicación de la inteligencia artificial desde un enfoque neuroeducativo para optimizar los procesos cognitivos en la enseñanza y el aprendizaje. https://doi.org/10.63969/p539k221
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, 5(4), 578–593. https://doi.org/10.47205/jdss.2024(5-IV)50
Silor, E., et al. (2025). Boosting reading comprehension through AI-based learning tools. International Journal of Learning, Teaching and Educational Research, 24(9). https://doi.org/10.26803/ijlter.24.9.4
Topolnyk, Y., et al. (2025). The impact of digital technologies and AI on adult learning: from digital literacy to neuroplasticity. https://doi.org/10.70594/brain/16.2/11
Zadorina, M., et al. (2024). The role of artificial intelligence in creation of future education: possibilities and challenges. Futurity Education. https://doi.org/10.57125/fed.2024.06.25.09
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Copyright (c) 2026 Alonso José Camacaro (Autor/a)
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