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.
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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