Improving Equity in Data Science: Re-Imagining the Teaching and Learning of Data in K-16 Classrooms

Tofel-Grehl, Colby, Schanzer, Emmanuel

Improving Equity in Data Science: Re-Imagining the Teaching and Learning of Data in K-16 Classrooms
  • 出版商: Routledge
  • 出版日期: 2024-06-03
  • 售價: $2,270
  • 貴賓價: 9.5 折 $2,157
  • 語言: 英文
  • 頁數: 190
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032428627
  • ISBN-13: 9781032428628
  • 相關分類: Data Science

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book offers a comprehensive look at the ways in which data science can be conceptualized and engaged more equitably within the K-16 classroom setting, moving beyond merely broadening participation in educational opportunities.

商品描述(中文翻譯)

這本書全面探討了在K-16教室環境中，如何更公平地概念化和應用數據科學，超越僅僅擴大教育機會的範疇。

作者簡介

Colby Tofel-Grehl is an associate professor of STEM teacher education and learning at Utah State University, USA.

Emmanuel Schanzer is a math and CS-Education researcher, and the co-founder and chief curriculum architect at Bootstrap.

作者簡介(中文翻譯)

Colby Tofel-Grehl 是美國猶他州立大學的STEM教師教育和學習副教授。

Emmanuel Schanzer 是一位數學和計算機科學教育研究員，也是Bootstrap的聯合創始人和首席課程架構師。

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