|Product Name||Effective Teacher Induction And Mentoring: Assessing The Evidence|
|Category||Book / Magazine / Publication|
|Amazon.com||Buy on Amazon ~ 0807749338|
|Price New||26.77 US Dollars (curriencies)|
|Price Used||26.77 US Dollars (curriencies)|
|Width||0.5 inches (convert)|
|Height||8.8 inches (convert)|
|Length||6.1 inches (convert)|
|Weight||8.8 ounces (convert)|
|Features||Used Book in Good Condition|
|Long Description||''Finally, the information we have needed regarding support for new teachers is in one book. Well written, based on scientific research, and extremely important to the teaching profession, this book is a must-read.''|
-- Ed Pultorak, Former ATE President, Southern Illinois University Carbondale
''Dr. Michael Strong offers a detailed and well-balanced appraisal of the empirical evidence on the impact of teacher mentoring and induction programs. This is a 'must-read' for anyone who is interested in this topic.''
-- Rodney T. Ogawa, Professor of Education, UCSC, Santa Cruz, California
A well-known authority on teacher induction programs offers the most comprehensive, up-to-date review of all recent research on the effectiveness of mentoring and induction support for new teachers. Michael Strong provides a revealing analysis of teacher induction programs and their consequences for education, teacher quality, teacher effectiveness, and teacher development. Because mentoring programs can be costly, particularly in large urban school districts with high teacher turnover rates, there is a rapidly growing body of research on program structures and their outcomes. This valuable book synthesizes the relevant research in a manner that is accessible, straightforward, and useful. This critical review will benefit educational decision makers by:
* Bringing together the most important research findings in one volume.
* Offering the author s expert opinion on the research, some of which he conducted at the New Teacher Center at the University of California, Santa Cruz.
* Describing the specific contexts in which the research took place.
* Detailing what is needed to implement and evaluate induction/mentoring programs.
* Outlining how to obtain the data necessary to determine whether a program is effective.
|Similar Items||9781412960090: Mentoring New Teachers|
9781412940627: Being An Effective Mentor: How To Help Beginning Teachers Succeed
9780914409304: Mentoring New Teachers Through Collaborative Coaching: Linking Teacher And Student Learning
9780787996345: Preparing Teachers For A Changing World: What Teachers Should Learn And Be Able To Do
9780761988878: What Successful Mentors Do: 81 Research-Based Strategies For New Teacher Induction, Training, And Support
9780761946328: What Successful Mentors Do: 81 Research-Based Strategies For New Teacher Induction, Training, And Support
9781578863853: Research on Teacher Induction: Teacher Education Yearbook XIV (Teacher Education Yearbook (Paperback))
9781412966139: Comprehensive Mentoring Programs For New Teachers: Models Of Induction And Support
9781118206539: The Art Of Coaching: Effective Strategies For School Transformation
9781883514006: Promoting Academic Success for E. S. L. Students: Understanding Second Language Acquisition for School
9781934742365: New Teacher Mentoring: Hopes And Promise For Improving Teacher Effectiveness
9781607097631: Past, Present, And Future Research On Teacher Induction: An Anthology For Researchers, Policy Makers, And Practitioners
9781571107428: Mentoring Beginning Teachers, Second Edition: Guiding, Reflecting, Coaching
9780962936043: New Teacher Induction: How To Train, Support, And Retain New Teachers
9780470874127: Mentoring Teachers: Navigating The Real-World Tensions
9780912099378: Quality Mentoring For Novice Teachers
9780761938590: Cultivating High-Quality Teaching Through Induction And Mentoring
|Search Google||by EAN or by Title|
Article of interest
The attributes are somewhat like fields. They are the individual data items that describe each product. Each product entry will have several attributes. There is no telling which attributes will be attached to each product but they all have the same basic format.
Here is an example of one attribute. When accessing the data feed API, you can get your data in XML or JSON format. Here it is displayed in XML format to make it a little easier to read through.
<attribute> <field_name>product</field_name> <group_name>Over View</group_name> <title>Product Name</title> <data_type>varchar</data_type> <data_type_description>short text</data_type_description> <has_linked_text>0</has_linked_text> <has_linked_extra>0</has_linked_extra> </attribute>
In the above example you will find these elements:
- field_name - The unique name used to access this attribute.
- group_name - The name of the data group this field belongs to.
- title - The label we place on the screen when displaying this attribute to users.
- data_type - The database data type we are using to store this attribute.
- data_type_description - More infomation about the data type.
- has_linked_text - Some numeric fields have a text representation. We store the numeric value but if there is linked text, we use a lookup table to display that text instead of the number to the user.
- has_linked_extra - Some numeric fields have an extra text value that goes along with the number. We use a lookup table to display that text in addition to the number.
Hopefully, this helps you understand the data attributes you find in the data feed API.