| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910557524903321 |
|
|
Autore |
Pereira Carlos Alberto de Bragança |
|
|
Titolo |
Data Science : Measuring Uncertainties / editado por Carlos Alberto De Bragança Pereira, Adriano Polpo y Agatha Rodrigues |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
MDPI - Multidisciplinary Digital Publishing Institute |
|
|
|
|
|
|
|
ISBN |
|
978-3-0365-0792-7 |
978-3-0365-0793-4 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
recurso en línea (256 p.) : il |
|
|
|
|
|
|
Altri autori (Persone) |
|
PereiraCarlos Alberto de Bragança |
|
|
|
|
|
|
Soggetti |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Este libro es una reimpresión del Special Issue Data Science: Measuring Uncertainties publicadoi previamente en Entropy |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
With the increase in data processing and storage capacity, a large amount of data is available. Data without analysis does not have much value. Thus, the demand for data analysis is increasing daily, and the consequence is the appearance of a large number of jobs and published articles. Data science has emerged as a multidisciplinary field to support data-driven activities, integrating and developing ideas, methods, and processes to extract information from data. This includes methods built from different knowledge areas: Statistics, Computer Science, Mathematics, Physics, Information Science, and Engineering. This mixture of areas has given rise to what we call Data Science. New solutions to the new problems are reproducing rapidly to generate large volumes of data. Current and future challenges require greater care in creating new solutions that satisfy the rationality for each type of problem. Labels such as Big Data, Data Science, Machine Learning, Statistical Learning, and Artificial Intelligence are demanding more sophistication in the foundations and how they are being applied. This point highlights the importance of building the foundations of Data Science. This book is dedicated to solutions and discussions of measuring uncertainties in data analysis problems. |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9911047812703321 |
|
|
Autore |
Veraksa N. E (Nikolaĭ Evgenʹevich), <1946-> |
|
|
Titolo |
Visual Modelling as Means for Cognitive and Emotional Development of Children : International Perspectives / / edited by Nikolay Veraksa |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2025.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (227 pages) |
|
|
|
|
|
|
Collana |
|
Early Childhood Research and Education: An Inter-theoretical Focus, , 2946-6105 ; ; 8 |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Educational psychology |
Early childhood education |
Developmental psychology |
Study skills |
International education |
Comparative education |
Educational technology |
Educational Psychology |
Early Childhood Education |
Cognitive Development |
Study and Learning Skills |
International and Comparative Education |
Digital Education and Educational Technology |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
Chapter 1. Introduction -- Chapter 2. Project-based activity and play: impact on child development -- Chapter 3. Children's Drawings as a model of the Preschooler's position in Family Relationships System: A Psychological Perspective -- Chapter 4. The semiotic mediation of children’s modeling: The example of 9- to 10-year-old’s physics reasoning -- Chapter 5. Mapping, orienting, and addressing: Children making and reading maps -- Chapter 6. The effectiveness of different types of sign/symbol mediation in teaching elementary mathematical concepts to older preschoolers with varying levels of executive function |
|
|
|
|
|
|
|
|
|
|
|
-- Chapter 7. The use of sensory ethalons and visual models by modern older preschoolers and their peers in the last third of the twentieth century -- Chapter 8. Play plans as cultural tools: Children taking control of their play in Tools of the Mind classrooms -- Chapter 9. The problem of visual modelling and self-regulation development in early childhood -- Chapter 10. L. Venger’s Contribution to the Solution of the Problem of School Readiness. |
|
|
|
|
|
|
Sommario/riassunto |
|
This book acquaints readers with the principles and the possibilities of using visual models in the education of young children. Educational projects that use visual models as effective psychological tools that allow the child to develop abilities are very limited. Visual models can be used as a means for cognitive development, regulation of behavior, organization of productive activities, and for solving creative problems. The research in the field of cognitive development of preschoolers was greatly influenced by the works of L.S. Vygotsky, J. Piaget, and their followers. L.S. Vygotsky understood the general line of the development of children’s consciousness as the transition from social plane to psychological one and related it to the mastering of cultural means, such as visual models. L. A. Venger considered a child's drawing as a visual model of an object; in construction activity, the child creates models of real structures from various blocks. All this served as the necessary basis for the use of visual models in the organization of educational processes in preschool institutions. Visual models can contribute to the enrichment of play activity and the development of thinking, visual-spatial activity, as well as the development of imagination. Studies have also identified the benefits of using visual models in work with children with special needs. This book provides a great resource for students, specialists, practitioners and researchers. |
|
|
|
|
|
|
|
| |