Effective and Equitable Teacher Practice in Mathematics and Science Education: A Nordic Perspective Across Time and Groups of Students

Teig, Nani, Nilsen, Trude, Yang Hansen, Kajsa

  • 出版商: Springer
  • 出版日期: 2024-04-20
  • 售價: $2,110
  • 貴賓價: 9.5$2,005
  • 語言: 英文
  • 頁數: 293
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031495829
  • ISBN-13: 9783031495823
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This open access book presents original research on effective and equitable teacher practice in mathematics and science education across Nordic countries. It focuses on three key aspects of teacher practice: what teachers teach, how teachers teach, and how teachers assess their students.

To provide a comprehensive understanding of teacher practice, data from the IEA's Trends in Mathematics and Science Study (TIMSS) from 2011 to 2019 was analyzed. TIMSS provides large-scale and representative data, allowing an in-depth investigation of the relations between teachers, their practices, and student outcomes. The findings highlight the changes in teacher practice over time and the extent to which such changes explain the differences in student outcomes. This research also contributes to understanding how the relationships between teacher practice and student outcomes vary across different student groups (i.e., gender, socioeconomic status, and language background).

The empirical evidence presented not only adds a significant layer to the academic discourse but also offers practical implications. These insights are crucial in facilitating educational policymaking and classroom practices aimed at improving student outcomes and closing gaps in educational inequality.

商品描述(中文翻譯)

這本開放存取的書籍介紹了北歐國家在數學和科學教育中有效且公平的教師實踐的原創研究。它聚焦於教師實踐的三個關鍵方面:教師教授的內容、教師的教學方式以及教師如何評估學生。

為了全面了解教師實踐,本研究分析了2011年至2019年國際教育成就趨勢研究(TIMSS)的數據。TIMSS提供了大規模且具代表性的數據,使得可以深入研究教師、他們的實踐和學生成果之間的關係。研究結果突顯了教師實踐隨時間變化的情況,以及這些變化在多大程度上解釋了學生成果的差異。此研究還有助於理解教師實踐與學生成果之間的關係如何在不同學生群體(例如性別、社經地位和語言背景)之間變化。

所呈現的實證證據不僅為學術討論增添了重要的一環,還提供了實際的啟示。這些見解在促進教育政策制定和課堂實踐方面至關重要,旨在改善學生成果並彌補教育不平等的差距。

作者簡介

Nani Teig is an associate professor at the University of Oslo, Norway. Her research focuses on inquiry-based teaching, scientific reasoning, teaching quality, and academic resilience. She integrates multilevel analyses using data from videos, surveys, assessments, and computer log files. Nani has received several awards and fellowships, including the Global Education Award, Bruce H. Choppin Dissertation Award, Young CAS Fellow, and UNESCO GEM Fellow.

Trude Nilsen is a research professor at the University of Oslo. She is a leader of the research group LEA (Large-scale Educational Assessment) in her department, and a leader of several large research projects. She also is and has been, engaged as an international external expert for IEA's TIMSS and for OECD's TALIS. She has received several awards, amongst others the IEA Bruce H. Choppin Memorial Award.

Her research is within the fields of educational effectiveness and international large-scale assessments, with a focus on teaching quality, educational equality, school climate, and applied methodology including causal inferences.

Kajsa Yang Hansen's research concerns educational quality and equity from a comparative perspective. She tackles these issues by investigating students' social, motivational, and cognitive factors in the contexts of their schools, changing societies and education systems. Dr. Yang Hansen also has an interest in analytical techniques for large-scale survey data, e.g., multi-level analysis, Structural Equation Modelling (SEM) and second-generation SEM.

作者簡介(中文翻譯)

Nani Teig 是挪威奧斯陸大學的副教授。她的研究專注於基於探究的教學、科學推理、教學品質和學術韌性。她整合了來自視頻、調查、評估和電腦日誌文件的多層次分析數據。Nani曾獲得多個獎項和研究員職位,包括全球教育獎、Bruce H. Choppin博士論文獎、Young CAS研究員和聯合國教科文組織GEM研究員。

Trude Nilsen 是奧斯陸大學的研究教授。她是該系的LEA(大規模教育評估)研究小組的負責人,也是幾個大型研究項目的負責人。她還擔任國際教育協會(IEA)的TIMSS和經濟合作與發展組織(OECD)的TALIS的國際外部專家。她獲得了多個獎項,其中包括IEA Bruce H. Choppin紀念獎。

她的研究領域涉及教育效果和國際大規模評估,重點關注教學品質、教育平等、學校氛圍和應用方法論,包括因果推斷。

Kajsa Yang Hansen 的研究涉及教育品質和公平性的比較研究。她通過研究學生在學校、不斷變化的社會和教育體系背景下的社會、動機和認知因素來解決這些問題。Yang Hansen博士還對大規模調查數據的分析技術(例如多層次分析、結構方程模型(SEM)和第二代SEM)感興趣。

最後瀏覽商品 (20)