Using Data Analysis to Improve Student Learning Toward 100% Proficiency
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Auteur:
Ovid K. Wong
Ming-Long Lam
- Engels
- Paperback
- 9781578864805
- 30 november 2006
- 140 pagina's
Samenvatting
This book offers a unique blend of presenting the variables of student and school improvement systematically and systemically to include the research and the data analysis to make students successful.
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.
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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Inhoud
- Taal
- en
- Bindwijze
- Paperback
- Oorspronkelijke releasedatum
- 30 november 2006
- Aantal pagina's
- 140
- Illustraties
- Nee
Betrokkenen
- Hoofdauteur
- Ovid K. Wong
- Tweede Auteur
- Ming-Long Lam
- Hoofduitgeverij
- Rowman & Littlefield Education
Vertaling
- Originele titel
- Using Data Analysis to Improve Student Learning: Toward 100% Proficiency
Overige kenmerken
- Editie
- illustrated edition
- Extra groot lettertype
- Nee
- Product breedte
- 141 mm
- Product hoogte
- 11 mm
- Product lengte
- 217 mm
- Studieboek
- Nee
- Verpakking breedte
- 141 mm
- Verpakking hoogte
- 11 mm
- Verpakking lengte
- 217 mm
- Verpakkingsgewicht
- 186 g
EAN
- EAN
- 9781578864805
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