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PEDAGOGY OF COMPUTER SCIENCE |
ISSN 2708-4124 |
APPLICATION OF NEURAL NETWORKS TO INCREASE LEARNING EFFICIENCY V.V. Kazachonak FULL TEXT: PDF (Rus) Abstract The possibilities of neuropedagogy in the modern conditions of ICT development are analyzed and the organizational and pedagogical conditions for increasing the effectiveness of the learning system based on neural networks are determined: the selection and assignment of the main characteristics of the student model, a clear formalization and construction of the ontology of the subject area. Based on the most important provisions of neuropedagogy, recommendations have been formulated to increase the effectiveness of training, including: 1) attention, 2) active interaction, 3) return by mistake and 4) consolidation (transition from a slow, conscious, effort-intensive thought process to a fast, unconscious, automatic mental work).
Key words Neuropedagogy, neural networks, educational innovations, learning efficiency. Received: 03/10/2020; accepted for publication: 04/15/2020. For citation: ________________________________________ Kazachonak V.V. Application of neural networks to increase learning efficiency. Electronic scientific and methodological journal “Pedagogy of computer science”. 2020;2. Http://pcs.bsu.by/2020_2/5ru.pdf Content is available under license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. About the authors:
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