Neurociencia y educación en la era de la sociedad del tecno-conocimiento

Idana Beroska Rincón Soto; Betty Janeth Soledispa-Cañarte; Pilar Asunción Soledispa-Cañarte; Tania Cecibel Cañarte-Rodríguez; Glenda Marcela Sarmiento-Tomalá

doi:10.56294/sctconf2023176

Conference abstract

Published: 2023-05-07

DOI: https://doi.org/10.56294/sctconf2023176

Classification model for student attrition in a peru public university

Abstract

Neuroscience revolutionizes education, provides new methods to understand cognitive development and learning and indirectly evaluates the effectiveness of different pedagogies. Neuroeducation begins by studying how cognitive systems are built on sensory systems by providing a detailed understanding of the causal mechanisms that are linked throughout the student’s holistic development. This type of basic neuroscientific research guides the field of education and pedagogy by exploring the effects in different pedagogical and learning contexts. In the era of the techno-knowledge society, technology is transforming education. Online learning platforms, educational games and mobile apps are just some of the tools used to improve the teaching and learning process. Neuroscience contributes to the development of online education, by identifying the limitations of attention and concentration in learning and the need to adjust the design of digital platforms to address these problems. This research investigates advances in neuroscience and education. That are achieved thanks to the brain imaging techniques available in recent decades, the perspectives about the integration between both disciplines are discussed. Studies show that neuroscience and education offer more than enough accumulated knowledge to contribute substantially to education policies, teacher training and school practice.

Keywords:

Neuroeducation,

Techno-Knowledge,

Brain-Based Learning,

Cognitive Development,

Artificial Intelligence in Education,

How to Cite

Rincón Soto IB, Soledispa-Cañarte BJ, Soledispa-Cañarte PA, Cañarte-Rodríguez TC, Sarmiento-Tomalá GM. Classification model for student attrition in a peru public university. Salud, Ciencia y Tecnología - Serie de Conferencias [Internet]. 2023 May 7 [cited 2024 Jul. 3];2:176. Available from: https://conferencias.saludcyt.ar/index.php/sctconf/article/view/176

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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IV Jornadas de Fundamentos y Aplicaciones de la Interdisciplina (JFAI2023)

Vol. 2 (2023)

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