A Study of the Definition and Components of Data Literacy for K-12 AI Education

2021 ◽  
Vol 25 (5) ◽  
pp. 691-704
Author(s):  
Seulki Kim ◽  
◽  
Taeyoung Kim
Keyword(s):  
2021 ◽  
Vol 103 (1) ◽  
pp. 49-53
Author(s):  
Tanya LaMar ◽  
Jo Boaler

The COVID-19 global pandemic has required everyone to make sense of data about community spread, levels of risk, and vaccine efficacy. Yet research shows that students are underprepared in data literacy. Tanya LaMar and Jo Boaler argue that data science education provides an opportunity to address this problem while providing much needed updates to the current mathematics curriculum. The integration of data science can provide a more equitable mathematics pipeline than the calculus-focused pathway that has excluded most students from a future in mathematics. Through data science, students can learn to answer questions that are relevant to their lives and communities, to be critical consumers of the data that surround them every day, and to wield the power of data analysis.


2021 ◽  
pp. 074193252110542
Author(s):  
Marissa J. Filderman ◽  
Jessica R. Toste ◽  
Lisa Didion ◽  
Peng Peng

This meta-analysis explores training teachers in the use of data, defined as any quantifiable information that helps teachers know more about their students for instructional decision-making. The questions addressed are as follows: (a) What are the features of data literacy training for kindergarten through 12th-grade teachers? (b) What are the effects of data literacy training on kindergarten through 12th-grade teacher outcomes? and (c) Do training characteristics moderate the effects of training? A comprehensive search of research conducted between 1975 and 2019 yielded 33 studies with 163 effect sizes that met inclusion criteria. Using a random effects model, findings demonstrated significant positive effects on knowledge and skills, g = .67, 95% confidence interval (CI) = [0.40, 0.93], and beliefs, g = .48, 95% CI = [0.17, 0.79]. A collaborative training format significantly and positively moderated effects. Implications for teacher trainings and the design of future research are discussed.


2008 ◽  
Author(s):  
Sharon Y. Tettegah ◽  
Carolyn Anderson ◽  
Kona Taylor ◽  
Eun Won Whang
Keyword(s):  

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