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Using Real World Data Driven Instruction and Technology to Increase Student Engagement.

  • Year 2023
  • NSF Noyce Award # 1950129
  • First Name Charles
  • Last Name Collingwood
  • Institution University of Arizona
  • Role/Position Master Teacher Fellow
  • Workshop Category Track 3: Master Teaching Fellowships
  • Workshop Disciplines Audience Data Science, Mathematics
  • Target Audience Co-PIs, Evaluators/Education Researchers, Noyce Master Teachers, Noyce Teaching Fellows, Other Faculty/Staff, Project PIs, Undergraduate and/or Graduate Noyce Scholars
  • Topics Culturally Relevant Pedagogy, Resources for Teachers, STEM Content Area and/or Convergent Description Skills Development, Supporting New Teachers/Induction
  • Session Length 75 minutes minutes

Goals

Participants will learn and experience how students are using the Data Classroom platform to analyze real-world data.

Evidence

Data scientists are in constant demand because they provide insight that impacts change in this era heavily driven by data. Students commonly lack enthusiasm when it comes to the development of data literacy skills such as data extraction, storage, manipulation, analysis, prediction, reporting, etc.), which can inhibit their roles as global citizens. Now, more than ever, it is imperative that educational initiatives promote and empower students to nurture their analytical identities by becoming confident, risk-taking, math-literate scholars.

Proposal

Culturally Responsive Mathematics Pedagogy is a method of teaching that cultivates academic talent across a range of student populations despite the prevalence of educational disparities. In this presentation, we argue that every student needs to understand, interpret, and critically analyze real-life mathematical relationships and applications. This will allow students to elevate their understanding of the significant role that mathematics can play in their lives. Data science and statistics can be used as weapons against the data illiterate. It is imperative that we use this knowledge and skill as a vehicle to improve the lives and opportunities of all students, especially those from underserved communities. In this workshop, we will illustrate and discuss how we can engage students as the creators and collectors of information; empowering them to make meaningful connections using data. In this session, facilitators will ask participants to discuss what they Notice and Wonder about different Data sets. Specifically, we will use a data set from the Missouri Attorney General Vehicle Stops Report and with time permitting we would like to give participants a choice of either looking at a subset of a larger NASA data sets that recorded monthly temperature anomalies from January 1880 through March 2021, or one that examines the Cherry Blossoms in Kyoto by using data that goes back more than 1200 years. We will use these data to go through the Data Science process using the Data classroom platform.

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This material is based upon work supported by the National Science Foundation (NSF) under Grant Numbers DUE-2041597 and DUE-1548986. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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