The Learning and Teaching of Statistics and Probability: A Perspective Rooted in Quantitative Reasoning and Conceptual Coherence
暫譯: 統計與機率的學習與教學：根植於量化推理與概念一致性的視角

Saldanha, Luis, Hatfield, Neil J., Chernoff, Egan J.

The Learning and Teaching of Statistics and Probability: A Perspective Rooted in Quantitative Reasoning and Conceptual Coherence
  • 出版商: Routledge
  • 出版日期: 2023-12-01
  • 售價: $7,490
  • 貴賓價: 9.5 折 $7,116
  • 語言: 英文
  • 頁數: 152
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367654857
  • ISBN-13: 9780367654856
  • 相關分類: 機率統計學 Probability-and-statistics

    • 海外代購書籍(需單獨結帳)

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商品描述

Filled with practical learning activities to adopt within your classroom, The Learning and Teaching of Statistics and Probability places reasoning about quantities and quantification at the core of learning and teaching statistics. A companion website to this book is also available at https: //neilhatfield.github.io/IMPACT_Statistics/, allowing readers to access a directory of resources - data collections and web-based applets - used in some of the instructional activities featured within this book.

Through its presentation of conceptual analyses and resources for teaching with statistical data, the book's five chapters establish key concepts and foundational ideas in statistics and probability, emphasizing the development of learner understanding and coherence, for example:

  • Individual cases and their attributes
  • Data collections, sub-collections, and relevant operations to quantify their attributes
  • Samples, population, and quantifying variation
  • Types of processes, meanings of randomness, and probability as a measure of stochastic tendency
  • Sampling distributions and statistical inference.

This highly informative yet practical book is an indispensable resource for teachers of secondary school mathematics, mathematics subject leads, and mathematics and statistics educators within the wider field of education.

商品描述(中文翻譯)

充滿實用的學習活動，適合在您的教室中採用，統計與機率的學習與教學將對數量和量化的推理置於統計學習與教學的核心。本書的伴隨網站也可在 https://neilhatfield.github.io/IMPACT_Statistics/ 訪問，讓讀者可以獲取本書中某些教學活動所使用的資源目錄，包括數據集和基於網頁的小應用程式。

透過對概念分析和使用統計數據進行教學的資源的呈現，本書的五個章節建立了統計與機率中的關鍵概念和基礎思想，強調學習者理解和一致性的發展，例如：
- 個別案例及其屬性
- 數據集、子集及量化其屬性的相關操作
- 樣本、母體及量化變異
- 過程類型、隨機性的意義，以及機率作為隨機趨勢的度量
- 抽樣分佈和統計推斷。

這本資訊豐富且實用的書籍是中學數學教師、數學科目負責人以及更廣泛教育領域中的數學和統計教育者不可或缺的資源。

作者簡介

Luis Saldanha is a professor of Didactics of Mathematics in the department of mathematics at l'Université du Québec à Montréal, Canada. His research focuses on mathematical thinking, specifically the development of students' statistical reasoning in relation to their engagement with instruction designed to foster their understanding of statistical concepts.

Neil J. Hatfield is an assistant research professor in the Department of Statistics at Pennsylvania State University, U.S.A. His main research interests focus on cognition related to the concept of distribution; the teaching of statistics, data science, and probability; and diversity, equity, and inclusion in STEM.

Egan J. Chernoff is a professor of Mathematics Education at the University of Saskatchewan, Canada. His editorial affiliations include Statistics Education Research Journal; The Mathematics Enthusiast; Mathematical Thinking and Learning; Journal of Mathematical Behavior; Canadian Journal of Science, Mathematics, and Technology Education; and more.

Caterina Primi is a full professor in Psicometria at the Faculty of Psychology at the University of Florence, Italy. She is an experienced teacher of graduate, post-graduate, and PhD level courses in statistics, research methods, and psychological testing.

作者簡介(中文翻譯)

Luis Saldanha 是加拿大魁北克大學蒙特利爾分校數學系的數學教學法教授。他的研究專注於數學思維，特別是學生在與旨在促進他們對統計概念理解的教學互動時，統計推理的發展。

Neil J. Hatfield 是美國賓夕法尼亞州立大學統計系的助理研究教授。他的主要研究興趣集中在與分佈概念相關的認知；統計學、數據科學和機率的教學；以及STEM領域中的多樣性、公平性和包容性。

Egan J. Chernoff 是加拿大薩斯喀徹溫大學的數學教育教授。他的編輯職務包括《統計教育研究期刊》、《數學愛好者》、《數學思維與學習》、《數學行為期刊》、《加拿大科學、數學與技術教育期刊》等。

Caterina Primi 是意大利佛羅倫斯大學心理學系的全職心理測量學教授。她是統計學、研究方法和心理測試的研究生、碩士及博士課程的經驗豐富的教師。

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