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1. |
Record Nr. |
UNINA990001768960403321 |
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Autore |
Caruso, Pietro |
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Titolo |
La coltivazione del peperone e della melanzana in ambiente protetto / Pietro Caruso |
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Pubbl/distr/stampa |
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Descrizione fisica |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Estr. da: Tecnica agricola, 23(2),1971. |
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2. |
Record Nr. |
UNINA9910816543403321 |
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Autore |
Elish-Piper Laurie |
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Titolo |
The common core coaching book : strategies to help teachers address the K-5 ELA standards / / Laurie Elish-Piper and Susan K. L'Allier |
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Pubbl/distr/stampa |
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New York, New York : , : The Guilford Press, , 2014 |
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©2014 |
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ISBN |
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1-4625-1570-3 |
1-4625-1569-X |
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Descrizione fisica |
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1 online resource (242 p.) |
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Collana |
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Teaching Practices That Work |
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Classificazione |
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LAN010000EDU032000LAN013000EDU029020EDU046000 |
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Disciplina |
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Soggetti |
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Language arts (Elementary) - Standards - United States |
Language arts (Elementary) - Activity programs - United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Half Title Page; Series Page; Title Page; Copyright Page; About the Authors; Series Editors' Note; Acknowledgments; Contents; Part One. Coaching toward the Common Core; 1. Getting Ready for Coaching; 2. Tools for Effective Coaching; Part Two. Large-Group Coaching toward the Common Core; Strategy 1. Establishing a Climate for Literacy Coaching; Strategy 2. Building Shared Understanding and Language; Strategy 3. Conducting an Article Study Group; Strategy 4. Providing Professional Development at Faculty Meetings; Strategy 5. Unpacking the Common Core Standards |
Strategy 6. Examining the Vertical Alignment of the Common Core StandardsStrategy 7. Presenting Powerful Professional Development; Part Three. Small-Group Coaching toward the Common Core; Strategy 8. Developing Implementation Guides for the Common Core Standards; Strategy 9. Reviewing Assessment Data to Plan Instruction; Strategy 10. Examining Student Work; Strategy 11. Reviewing Units of Study; Strategy 12. Conducting a Lesson Study; Part Four. Individual Coaching toward the Common Core; Strategy 13. Setting Goals; Strategy 14. Modeling; Strategy 15. Co-Planning; Strategy 16. Co-Teaching |
Strategy 17. ObservingStrategy 18. Implementing the Coaching Cycle; Part Five. Putting It All Together: Profiles of Highly Effective Literacy Coaches; Profile 1. Establishing and Maintaining Administrator Support; |
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Profile 2. Getting into Classrooms; Profile 3. Working with Hesitant Teachers; Profile 4. Staying the Course; Profile 5. Embedding Coaching into Other Assigned Duties; Profile 6. Organizing for Success; Final Thoughts; References; Index |
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Sommario/riassunto |
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This book provides essential coaching tools to support teachers in planning and implementing instruction aligned with the Common Core State Standards (CCSS). The authors explain the key instructional shifts brought about by the CCSS in K-5 English language arts classrooms. Eighteen specific strategies for coaching large groups, small groups, and individual teachers are presented, including clear-cut procedures, vivid illustrative examples, and 28 reproducible forms. Grounded in research on adult learning, the book addresses common coaching challenges and how to overcome them. The large- |
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3. |
Record Nr. |
UNINA9910746284003321 |
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Autore |
Petrelli Maurizio |
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Titolo |
Machine Learning for Earth Sciences : Using Python to Solve Geological Problems / / by Maurizio Petrelli |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (xvi, 209 pages) : illustrations |
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Collana |
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Springer Textbooks in Earth Sciences, Geography and Environment, , 2510-1315 |
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Disciplina |
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Soggetti |
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Earth sciences |
Machine learning |
Artificial intelligence |
Mathematics |
Application software |
Earth Sciences |
Machine Learning |
Artificial Intelligence |
Applications of Mathematics |
Computer and Information Systems Applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Part 1: Basic Concepts of Machine Learning for Earth Scientists -- Chapter 1. Introduction to Machine Learning -- Chapter 2. Setting Up your Python Environments for Machine Learning -- Chapter 3. Machine Learning Workflow -- Part 2: Unsupervised Learning -- Chapter 4. Unsupervised Machine Learning Methods -- Chapter 5. Clustering and Dimensionality Reduction in Petrology -- Chapter 6. Clustering of Multi-Spectral Data -- Part 3: Supervised Learning -- Chapter 7. Supervised Machine Learning Methods -- Chapter 8. Classification of Well Log Data Facies by Machine Learning -- Chapter 9. Machine Learning Regression in Petrology -- Part 4: Scaling Machine Learning Models -- Chapter 10. Parallel Computing and Scaling with Dask -- Chapter 11. Scale Your Models in the Cloud -- Part 5: Next Step: Deep Learning -- Chapter 12. Introduction to Deep Learning. |
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Sommario/riassunto |
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This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve geological problems. It describes the main Python tools devoted to ML, the typical workflow of ML applications in Earth Sciences, and proceeds with reporting how ML algorithms work. The book provides many examples of ML application to Earth Sciences problems in many fields, such as the clustering and dimensionality reduction in petro-volcanological studies, the clustering of multi-spectral data, well-log data facies classification, and machine learning regression in petrology. Also, the book introduces the basics of parallel computing and how to scale ML models in the cloud. The book is devoted to Earth Scientists, at any level, from students to academics and professionals. |
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