1.

Record Nr.

UNINA9910457460103321

Autore

Elfer Peter

Titolo

Key persons in the early years : building relationships for quality provision in early years settings and primary schools / / Peter Elfer, Elinor Goldschmied and Dorothy Y. Selleck

Pubbl/distr/stampa

Abingdon, Oxon : , : Routledge, , 2012

ISBN

1-283-44250-7

9786613442505

0-203-80471-6

1-136-64256-0

Edizione

[2nd ed.]

Descrizione fisica

1 online resource (176 p.)

Altri autori (Persone)

GoldschmiedElinor

SelleckDorothy Y

Disciplina

372.1102

Soggetti

Elementary school teaching

Effective teaching

Elementary school teachers - Professional relationships

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Previously published as Key persons in the nursery.

"A David Fulton book"--cover.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Front Cover; Key Persons in the Early Years; Copyright Page; Contents; List of figures and tables; Preface; Acknowledgements; 1. Parenting and working, children and settings: achieving life balances; Public policy and private choices; What counts in quality?; The early years setting: a home from home?; The early years setting: not a substitute home but a place to be different; Relationship is key: the theory; Relationship is key: children speaking; Sunil's story; Angelina's story; Graham's story; Mario's story

How do we respond to these different voices and what they may be seeking to tell us?2. What is the Key Persons approach?; The benefits of a Key Persons approach; For babies and young children; For parents; For the Key Person; For the early years setting; Why 'Key Person' and not 'key worker'?; The Key Persons approach for babies and young children; The Key Persons approach for parents; The Key Persons



approach for the Key Person; The Key Persons approach for the early years setting or school; 3. A strategy for implementation: an approach, not a system

Aspect 1: Values, principles, research evidence and ... time!Aspect 2: Building an approach, rather than a system; Aspect 3: Practical realities; Introducing the Key Persons approach in different kinds of setting; The Key Persons approach: documenting the role; Home visits and establishing a partnership; Building a key group; Observing, noticing and not noticing; Sharing and not sharing information; Aspect 4: Who is the 'Key Person' for the Key Person? Mentoring and professional supervision; The challenge of emotionally close relationships with children

The challenge of physically close relationships with childrenThe challenge of close relationships with parents and other family members; Mentoring and supervision: the practice and some examples; Why 'My door is always open' may not be enough; 4. The Key Persons approach for 3- to 5-year-olds; Introduction; Defining some of the terms we use; Why do we need a Key Persons approach with 3- to 5-year-olds as well as with babies and under-3s?; Well-being; A focus on the final year of the EYFS: extending a Key Persons approach into primary schools and reception classes; Learning and development

How can the Key Persons approach work with large numbers?What are the implications for practice?; The importance of detailed observations; The importance of authentic conversational exchanges between adults and children; The challenge to build a strong partnership with home; Equality; Allocating children and their families to a Key Person; Guidelines for managers for implementing a Key Persons approach; The Key Persons approach in practice; Strategies for getting started and organised in primary schools and pre-schools; 5. The Key Person journey: its benefits and challenges

Theme A: Establishing the Key Persons approach

Sommario/riassunto

Key Persons in the Early Years aims to explain what a Key Person is, the theory behind the approach and the practicalities of implementation. Practical in its approach and containing case studies as examples of reflective practice, this second edition details the role of the Key Person across all ages in the early years. This new edition has been fully updated in line with the EYFS and features a new chapter on the Key Person approach with 3-5 year olds.The book offers guidance on:making the Key Person approach work in your setting with realistic



2.

Record Nr.

UNINA9910484692503321

Titolo

Machine learning and big data analytics paradigms : analysis, applications and challenges / / Aboul Ella Hassanien, Ashraf Darwish, editors

Pubbl/distr/stampa

Cham, Switzerland : , : Springer, , [2021]

©2021

ISBN

3-030-59338-X

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (XI, 648 p. 267 illus., 182 illus. in color.)

Collana

Studies in Big Data, , 2197-6503 ; ; 77

Disciplina

006.31

Soggetti

Machine learning

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Rough Sets and Rule Induction from Indiscernibility Relations Based on Possible World Semantics in Incomplete Information Systems with Continuous Domains -- Big Data Analytics and Preprocessing -- Artificial Intelligence-based Plant Diseases Classification -- Artificial Intelligence in Potato Leaf Disease Classification: A Deep Learning Approach -- Granules-Based Rough Set Theory for Circuit Breaker Fault Diagnosis -- SQL Injection Attacks Detection and Prevention based on Neuro–Fuzzy Technique -- Convolutional Neural Network with Batch Normalization for Classification of Endoscopic Gastrointestinal Diseases -- A Chaotic Search-Enhanced Genetic Algorithm for Bilevel Programming Problems -- Bio-Inspired Machine Learning Mechanism for Detecting Malicious URL through Passive DNS in Big Data Platform -- Target Analytical: A Text Analytics Framework for Ranking Therapeutic Molecules in the Bibliome -- Earthquakes and Thermal Anomalies in a Remote Sensing Perspective -- Literature Review with Study and Analysis of the Quality Challenges of Recommendation Techniques and their Application in Movie Ratings -- Predicting Student Retention Among a Homogeneous Population using Data Mining -- An Approach for Textual Based Clustering Using Word Embedding -- A Survey on Speckle Noise Reduction in SAR Images -- Comparative Analysis of Different Approaches to Human Activity Recognition based on Accelerometer Signals -- Soil Morphology based



on Deep Learning, Polynomial Learning and Gabor Teager-Kaiser Energy Operators -- Deep Layer Convolutional Neural Network (CNN) Architecture for Breast Cancer Classification Using Histopathological Images -- A survey on Deep Learning for Time-Series Forecasting -- Deep Learning for Taxonomic Classification of Biological Bacterial Sequences -- Particle Swarm Optimization and Grey Wolf Optimizer to Solve Continuous p-Median Location Problems -- Gene Ontology Analysis of Gene Expression Data Using Hybridized PSO Triclustering (HSPO-TriC) Model -- Experimental Studies of Variations Reduction in Chemometric Model Transfer for FT-NIR Miniaturized Sensors -- Smart Environments Concepts, Applications, and Challenges -- Synonym Multi-Keyword Search over Encrypted Data Using Hierarchical Bloom Filters Index -- Assessing the Performance of E-government Services through Multi-Criteria Analysis: The Case of Egypt -- IoTIwC: IoT Industrial Wireless Controller -- Applying Software Defined Network Concepts for Securing the Client data signals over the Optical Transport Network of Egypt -- Watermarking 3D printing Data Based on Coyote Optimization Algorithm -- A 3D Geolocation Analysis of an RF Emitter Source with Two RF Sensors Based on Time and Angle of Arrival.

Sommario/riassunto

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.



3.

Record Nr.

UNIORUON00275951

Autore

KRUMBACHER, Karl

Titolo

Letteratura greca medievale / Karl Krumbacher ; trad. Salvatore Nicosia

Pubbl/distr/stampa

Palermo, : Istituto Siciliano di Studi Bizantini, 1970

Descrizione fisica

81 p. ; 22 cm.

Disciplina

949.5

Soggetti

Letteratura greca

Lingua di pubblicazione

Greco Moderno

Formato

Materiale a stampa

Livello bibliografico

Monografia