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              <text>Detection and Behavioral Analysis of Preschoolers with Dyscalculia</text>
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              <text>Analysis; Behaviour; Behaviour analysis; Brain training; Dyscalculia</text>
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              <text>Human behaviours are influenced by various factors that might impact their thought process. The way human beings response in situations have a strong connection with genetic makeup, cultural values and experiences from the past. Behaviour Analysis discusses the effect of human response to external/internal stimuli. This study helps in understanding behaviour changes among individuals suffering from various psychological disorders. Dyscalculia is one similar type of learning disorder [LD] which is commonly found among individuals and goes undetected for years. It is a lifelong condition which causes difficulty for people to perform mathematics-related tasks. Dyscalculia is quite eminent at every age. Since the symptoms are prominent from a young age, it can be detected at the earliest. Dyscalculia has no medical treatment but can be minimized by getting involved in some brain exercises especially created for children with Learning Disabilities. The chapter deals with minor research and the behaviour analysis for the above-mentioned disorder among pre-schoolers. In this chapter, a study of the behavioural patterns of pre-schoolers with dyscalculia is performed. This chapter also attempts to propose a model that can detect and predict the possibility of a child suffering from dyscalculia. It also includes a number of brain training activities that can help them to improve and enhance their confidence in mathematics.  2020, Springer Nature Switzerland AG.</text>
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              <text>Suri S.; Tirkey A.; Delphy J.; Aurelia S.</text>
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              <text>Learning and Analytics in Intelligent Systems, Vol-6, pp. 45-67.</text>
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              <text>2020-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-030-35139-7_3" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-030-35139-7_3&lt;/a&gt;
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              <text>ISSN: 26623447</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Suri S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Tirkey A., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Delphy J., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Aurelia S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India</text>
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