La Milano

Using Data Analysis to Improve Student Learning - 9781578864805

Description: Using Data Analysis to Improve Student LearningToward 100% Proficiency Author(s): Ovid K. Wong, Ming-Long Lam Format: Paperback Publisher: Rowman & Littlefield, United States Imprint: Rowman & Littlefield Education ISBN-13: 9781578864805, 978-1578864805 Synopsis Education reforms such as A Nation at Risk and Goals 2000 have come and gone. However, we can be confident that the goal of student improvement shall not pass if the core mission is student learning. The true mission of learning has prompted educators to ponder the following questions: How do we need each student to behave? How do we know when each student has behaved properly? How do we respond when students misbehave? Standards of behavior such as attendance, discipline, homework, and academic learning are the answering points for the first question with connections to school policy and curriculum. The question of 'how do we know?' is answered by assessment with relevant data support. Decisions to adjust student behaviors or to modify a school program are based on thorough data analysis and interpretation. What is the evidence that a student is not learning? A teacher is not effective? A school program is not serving the needs of students? The evidence can be addressed by information from a student record book; a teacher performance summary; a program survey or other data based reports. This book uses a unique blend of quantitative and qualitative strategies to tackle challenges in both student and school improvement and should be of interest to all educators.

Price: 32.56 GBP

Location: Aldershot

End Time: 2025-01-16T09:19:12.000Z

Shipping Cost: 24.86 GBP

Product Images

Using Data Analysis to Improve Student Learning - 9781578864805

Item Specifics

Return postage will be paid by: Buyer

Returns Accepted: Returns Accepted

After receiving the item, your buyer should cancel the purchase within: 60 days

Return policy details:

Book Title: Using Data Analysis to Improve Student Learning

Number of Pages: 140 Pages

Publication Name: Using Data Analysis to Improve Student Learning: Toward 100% Proficiency

Language: English

Publisher: Rowman & Littlefield

Item Height: 217 mm

Subject: Strategy, Teaching

Publication Year: 2007

Type: Textbook

Item Weight: 186 g

Author: Ovid K. Wong, Ming-Long Lam

Item Width: 141 mm

Format: Paperback

Recommended

Data Analysis Using Python: A Complete Beginner Guide
Data Analysis Using Python: A Complete Beginner Guide

$17.11

View Details
Business Statistics in Practice: Using Data, Modeling, and Analytics - GOOD
Business Statistics in Practice: Using Data, Modeling, and Analytics - GOOD

$10.72

View Details
Using Ethnographic Data: Interventions, Public Programming, and Public Po - GOOD
Using Ethnographic Data: Interventions, Public Programming, and Public Po - GOOD

$4.39

View Details
Statistics: Informed Decisions Using Data - Hardcover - GOOD
Statistics: Informed Decisions Using Data - Hardcover - GOOD

$7.49

View Details
Statistics: Informed Decisions Using Data: Student's Solutions Manual
Statistics: Informed Decisions Using Data: Student's Solutions Manual

$5.48

View Details
Statistics: Informed Decisions Using Data (5th Edition) - Hardcover - GOOD
Statistics: Informed Decisions Using Data (5th Edition) - Hardcover - GOOD

$11.62

View Details
Interactive Statistics: Informed Decisions Using Data Student Access Kit (Inter
Interactive Statistics: Informed Decisions Using Data Student Access Kit (Inter

$11.90

View Details
Data Analysis Using SQL and Excel - Paperback, by Linoff Gordon S. - Acceptable
Data Analysis Using SQL and Excel - Paperback, by Linoff Gordon S. - Acceptable

$22.41

View Details
Using Curriculum Mapping and Assessment Data to Improve Learning - GOOD
Using Curriculum Mapping and Assessment Data to Improve Learning - GOOD

$4.88

View Details
Data Structures: Abstraction and Design Using Java - Paperback - VERY GOOD
Data Structures: Abstraction and Design Using Java - Paperback - VERY GOOD

$6.41

View Details