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Toward a Novel Neuroscience-Based System Approach Integrating Cognitive and Implicit Learning in Education

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Cyber-Physical Systems and Control II (CPS&C 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 460))

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Abstract

Emotional-enhanced learning is a meaningful driver of engagement leading to long-term memory retention in learners, however, traditional approaches such as problem-based learning, and project-based learning, among others, do not consider brain-based learning guidelines concerning learner’s emotional experience design. The Neuroscience-based Learning (NBL) technique is a novel neuro-educational approach that applies the implicit neuro-physiological mechanisms underlying vivid and highly-arousal emotion-al experiences leading to long-term memory retention. The NBL is devised from a cybernetic system point of view, by explaining the novel neuro-physiological learning scheme describing the relation among the environment and the learner’s internal mental processes ranging from perceptions, comparison with previous experiences and memories, immediate sensations and reactions, emotions, desires, intentions, higher order cognitive functions, and controlled actions towards the environment. While explaining biological processes, the scheme also relates the types of memory systems with their non-associative and associative learning mechanisms, and the variables that modulate learning. NBL proposes the triggers for a vivid and highly-arousal emotional learning, which are novelty, unpredictability, sense of low control, threat to ego, avoidance (aversion-mediated learning), and reward (reward-based learning).

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Author information

Authors and Affiliations

  1. MEF University, Ayazağa Cad. No.4, 34396, Maslak, Sarıyer, Istanbul, Turkey

    Dante Jorge Dorantes-Gonzalez

  2. Peter the Great St. Petersburg Polytechnic University, Politechnicheskaya St. 29, 195251, St. Petersburg, Russia

    Nadezhda Tsvetkova

  3. Tomsk State University, Lenin 40, 634050, Tomsk, Russia

    Svetlana Veledinskaya

  4. Tomsk State University of Control Systems and Radioelectrons, Lenina 40, 634050, Tomsk, Russia

    Olesya Babanskaya

  5. MEF University, Ayazağa Cad. No.4, 34396, Maslak, Sarıyer, İstanbul, Turkey

    Tuna Çakar

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  1. Dante Jorge Dorantes-Gonzalez
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  2. Nadezhda Tsvetkova
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  3. Svetlana Veledinskaya
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  4. Olesya Babanskaya
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  5. Tuna Çakar
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Correspondence to Dante Jorge Dorantes-Gonzalez .

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Editors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Dmitry G. Arseniev

  2. School of Science and Technology, City, University of London, London, UK

    Nabil Aouf

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Dorantes-Gonzalez, D.J., Tsvetkova, N., Veledinskaya, S., Babanskaya, O., Çakar, T. (2023). Toward a Novel Neuroscience-Based System Approach Integrating Cognitive and Implicit Learning in Education. In: Arseniev, D.G., Aouf, N. (eds) Cyber-Physical Systems and Control II. CPS&C 2021. Lecture Notes in Networks and Systems, vol 460. Springer, Cham. https://doi.org/10.1007/978-3-031-20875-1_61

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  • DOI: https://doi.org/10.1007/978-3-031-20875-1_61

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