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1.
Mathematical Thinking and Learning ; 24(4):331-335, 2022.
Artículo en Inglés | APA PsycInfo | ID: covidwho-2274377

RESUMEN

This introductory paper first summarizes the major accomplishments of the literature on data modeling, modeling with software and the integration of statistical and computational thinking in statistical modeling, including how these collective efforts have helped the field evolve. Next, challenges that the field must address and general suggestions for future research are discussed. Finally, it is important to note that the papers in this special issue were in their final editing stages in early to mid-2020, at which time there were an unprecedented confluence of global crises: Covid-19, Civil Unrest over Racism, and Climate Change. Although the papers were written prior to Covid-19, it would be remiss not to discuss some of the important themes cultivated in this special issue in light of current events, particularly around the relationship between the non-neutral nature of data and ideas of data, context and chance in statistical modeling. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

2.
Mathematical Thinking and Learning ; 24(4):331-335, 2022.
Artículo en Inglés | APA PsycInfo | ID: covidwho-2107022

RESUMEN

This introductory paper first summarizes the major accomplishments of the literature on data modeling, modeling with software and the integration of statistical and computational thinking in statistical modeling, including how these collective efforts have helped the field evolve. Next, challenges that the field must address and general suggestions for future research are discussed. Finally, it is important to note that the papers in this special issue were in their final editing stages in early to mid-2020, at which time there were an unprecedented confluence of global crises: Covid-19, Civil Unrest over Racism, and Climate Change. Although the papers were written prior to Covid-19, it would be remiss not to discuss some of the important themes cultivated in this special issue in light of current events, particularly around the relationship between the non-neutral nature of data and ideas of data, context and chance in statistical modeling. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

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