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Educating Math Teachers in Social Justice

Über Educating Math Teachers in Social Justice

The widespread availability of big data, machine learning, and computational power has amplified the relevance of data in our day-to-day lives. For example, it is almost impossible to make it through a day without reading the news, scrolling through Facebook, or reading a policy report that does not generate data or reference or result from data-informed decision-making. As a result, mathematics policy reforms and curriculum developers have begun exploring how data science can be introduced at the K-12 level (e.g., Gould et al. 2016) . At the same time, secondary mathematics teachers have reported feeling uncomfortable with their knowledge about statistics content and practices (Batanero et al., 2011; Franklin et al., 2015). This may be partially attributed to how the statistical education of pre-service mathematics teachers (PSMTs) is often mathematics-oriented (Burill & Biehler, 2011), although mathematics and statistics are two distinct fields. This

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783916279036
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 340
  • Veröffentlicht:
  • 29. Oktober 2023
  • Abmessungen:
  • 152x19x229 mm.
  • Gewicht:
  • 494 g.
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Verlängerte Rückgabefrist bis 31. Januar 2025

Beschreibung von Educating Math Teachers in Social Justice

The widespread availability of big data, machine learning, and computational power has amplified the relevance of data in our day-to-day lives. For example, it is almost impossible to make it through a day without reading the news, scrolling through Facebook, or reading a policy
report that does not generate data or reference or result from data-informed decision-making. As a result, mathematics policy reforms and curriculum developers have begun exploring how data science can be introduced at the K-12 level (e.g., Gould et al. 2016) . At the same time, secondary mathematics teachers have reported feeling uncomfortable with their knowledge about statistics content and practices (Batanero et al., 2011; Franklin et al., 2015). This may be partially attributed to how the statistical education of pre-service mathematics teachers (PSMTs) is often mathematics-oriented (Burill & Biehler, 2011), although mathematics and statistics are two distinct fields. This

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