Name: Teaching for Excellence and Equity: Analyzing Teacher Characteristics, Behaviors and Student Outcomes with Timss (en Inglés)
Price: 185981.00 COP
Availability: InStock
Author: Burroughs, Nathan ; Gardner, Jacqueline ; Lee, Youngjun
ISBN: 9783030161507

portada Teaching for Excellence and Equity: Analyzing Teacher Characteristics, Behaviors and Student Outcomes with Timss (en Inglés)

Teaching for Excellence and Equity: Analyzing Teacher Characteristics, Behaviors and Student Outcomes with Timss (en Inglés)

Formato

Libro Físico

Autor

Editorial

Año

2019

Idioma

Inglés

N° páginas

212

Encuadernación

Tapa Dura

Dimensiones

23.9 x 16.3 x 1.3 cm

Peso

0.45 kg.

ISBN13

9783030161507

N° edición

Categorías

Educación: exámenes y evaluación
Formación docente

Teaching for Excellence and Equity: Analyzing Teacher Characteristics, Behaviors and Student Outcomes with Timss (en Inglés)

Nathan Burroughs (Autor) · Jacqueline Gardner (Autor) · Youngjun Lee (Autor) · Springer · Tapa Dura

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Reseña del libro "Teaching for Excellence and Equity: Analyzing Teacher Characteristics, Behaviors and Student Outcomes with Timss (en Inglés)"

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.