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Gemma F. Mojica; Emily Thrasher; Adrian Kuhlman; Bruce Graham; Hollylynne S. Lee; Michelle Pace – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
In this study, 82 middle and high school teachers engaged with the InSTEP online professional learning platform to develop their expertise in teaching data science and statistics. We investigated teachers' engagement within the platform, aspects of the platform that were most and least effective in building teachers' expertise, and the extent to…
Descriptors: Middle School Teachers, High School Teachers, Faculty Development, Data Science
Tanya Mae Lamar – ProQuest LLC, 2023
The divide between those who do and those who do not excel in mathematics is patterned in problematic ways. Women and people of color are typically underrepresented in Science, Technology, Engineering, and Math (STEM) and other quantitative fields (ex. Finance) where mathematics plays gatekeeper. However, mathematics is not a subject these groups…
Descriptors: Data Science, STEM Education, High School Students, Student Attitudes
Herro, Danielle; Madison, Matthew; Arastoopour Irgens, Golnaz; Hirsch, Shanna; Abimbade, Oluwadara; Adisa, Oluwajoba – Journal of Technology and Teacher Education, 2022
Data science and computational thinking (CT) skills are important STEM literacies necessary to make informed daily decisions. In elementary schools, particularly in rural areas, there is little instruction and limited research towards understanding and developing these literacies. Using a Research-Practice Partnership model (RPP; Coburn &…
Descriptors: Elementary School Teachers, Data Science, Curriculum Design, Faculty Development

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