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Teaching for Excellence and Equity Analyzing Teacher Characteristics, Behaviors and Student Outcomes with TIMSS
Título:
Teaching for Excellence and Equity Analyzing Teacher Characteristics, Behaviors and Student Outcomes with TIMSS
ISBN:
9783030161514
Edición:
1st ed. 2019.
PRODUCTION_INFO:
Cham : Springer International Publishing : Imprint: Springer, 2019.
Descripción física:
XII, 212 p. 3 illus. online resource.
Serie:
IEA Research for Education, A Series of In-depth Analyses Based on Data of the International Association for the Evaluation of Educational Achievement (IEA), 6
Contenido:
1. The Role of International Assessments in Understanding Teacher Quality -- 2. A Review of the Literature on Teacher Effectiveness and Student Outcomes -- 3. Teacher Variables, and Modeling the Relationships Between Teacher Characteristics, Teacher Behaviors and Student Outcomes -- 4. Country-Level Means in Measures of Teacher Effectiveness Across Time -- 5. Teacher Quality and Mean Student Outcomes: A Multi-Model Approach -- 6. Relationships Between Instructional Alignment, Time, Instructional Quality, Teacher Quality, and Student Mathematics Achievement -- 7. Teacher Effectiveness and Educational Equity -- 8. What Does TIMSS Tell Us About Teacher Effectiveness?.
Síntesis:
This open access book examines the interrelationship of national policy, teacher effectiveness, and student outcomes with a specific emphasis on educational equity. Using data from the IEA's Trends in International Mathematics and Science Study (TIMSS) conducted between 1995 and 2015, it investigates grade four and grade eight data to assess trends in key teacher characteristics (experience, education, preparedness, and professional development) and teacher behaviors (instructional time and instructional content), and how these relate to student outcomes. Taking advantage of national curriculum data collected by TIMSS to assess changes in curricular strategy across countries and how these may be related to changes in teacher and student factors, the study focuses on the distributional impact of curriculum and instruction on students, paying particular attention to overall inequalities and variations in socioeconomic status at the student and country level, and how such factors have altered over time. Multiple methods, including regression and fixed effects analyses, and structural equation modelling, establish the evolution of these associations over time.
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