Fast Facts for the Classroom Nursing Instructor : Classroom Teaching in a Nutshell

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Fast Facts for the Classroom Nursing Instructor : Classroom Teaching in a Nutshell

Yoder-Wise, Patricia S./ Kowalski, Karren

ウェブストア価格 ¥7,293（本体¥6,630）
Springer Publishing Co Inc（2012/05発売）
外貨定価 US$ 35.00
ポイント 66pt

オンデマンド(OD/POD)版です。キャンセルは承れません。

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製本 Paperback:紙装版/ペーパーバック版／ページ数 200 p.
言語 ENG
商品コード 9780826110169
DDC分類 610.730711

Full Description

This Fast Facts guide provides the support needed by all classroom teachers and future nurse educators to improve their effectiveness and to more thoroughly and efficiently engage even the most challenging of contemporary learners. Using the concise, conversational Fast Facts format, the book offers quick access to information about varied aspects of classroom management and describes how to use ""self as educator"" to influence positive learning.

The guide delineates key priorities on which educators must focus to provide an optimal learning experience for their students, and includes strategies for keeping students engaged in learning. Chapters feature vivid case examples and cover understanding the use of self, preparing for the classroom, building on strengths, engaging and coaching students, using agreements, and dealing with incivility in the classroom. In addition to traditional classroom learning, the book will be useful for online courses and in clinical conference discussions.

Key Features:

Focuses on the application of multiple learning theories
Delineates key priorities for providing optimal classroom and online teaching
Addresses common challenges such as dealing with incivility in the classroom
Includes ""Fast Facts in a Nutshell"" feature and checklists to help guide new nurse faculty

NOTE: This title is not for sale in the UK

1. Introduction and Measurement Context

2. Improving measurement of generalized characteristics through direct observation

3. Designing or adapting coding manuals

4. Sampling methods

5. Common metrics of observational variables

6. Introduction of sequential analysis

7. Analyzing research questions involving sequential associations

8. Observer Training, Observer Drift Checks, and Discrepancy

9. Interobserver Agreement and Reliability of Observational Variables

10. Validation of observational variables

11. Glossary