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TEACHER’S LEARNING ABOUT COMMUNITY AND STATISTICAL LITERACY THROUGH DATA INVESTIGATIONS OF SPATIAL FOOD ACCESS DATA

Mandana Delavari, University of Houston

Laura Shelton, Marist University�Travis Weiland, UNC-Charlotte

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ACKNOWLEDGEMENT

This material is based upon work supported by the National Science Foundation under DRK-12 Grants #2143816 and #2517085. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the view of the National Science Foundation.

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GOALS AND CONJECTURES

Project Goal: Investigating how to support secondary mathematics teachers in developing their own statistical literacy through data investigations of sociopolitical issues and translating that literacy into classroom practice

Research Conjecture 1: To develop a critical statistical literacy, people need to be situated in authentic praxis of multiple communities of practice (i.e., mathematics education, statistics education, statistics, & critical pedagogy) investigating meaningful issues to their communities. 

Research Conjecture 2: If explicitly supported for an extended period, teachers can translate learning from a professional learning community (PLC) situated at the intersection of multiple communities of practice (CoP) to their classroom practice. 

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CRITICAL STATISTICAL LITERACY

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THEORY OF CHANGE

Generative Themes to “spark” the learning process

Learning through authentic practice in a community of practice

Cycles of reflection and action (i.e. Praxis) to become enculturated to practices

Sociopolitical perspective on learning drawing heavily from Communities of Practice (Lave & Wenger, 1996) and Critical Literacy (Freire, 1970).

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DESIGN PRINCIPLES

  • Data investigations of relevant issues using real data are the core of authentic practice.
  • Frame problems to investigate using dialectic tensions (i.e. difference/ representation; certain/uncertain; signal/noise) situated in issues relevant to the learners you are designing for at various levels such as international, national, community, local, home.
  • Incorporate ongoing cycles of reflection and action (i.e. praxis). 
  • Use appropriate technology tools.
  • Understanding of content and context are both valued as learning goals.
  • Community building is an explicit aspect of the design.
  • Pedagogy is modeled and made explicit. 
  • Design is transparent and explicitly communicated.

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RESEARCH QUESTION

How can learning experiences be designed to support teachers’ development of reading and writing the world with spatial data and translate that into their teaching practice?

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METHODOLOGY

  • Design-Based Research (Cobb & McClain, 2004; Gutiérrez & Jurow’s, 2018)
  • Longitudinal Professional Learning Community (Four Years)
  • Weeklong PD during summer 2024 (Year 2)
  • 17 secondary mathematics teachers

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LEARNING SEQUENCE OBJECTIVES

  1. Deepen teachers' understanding how to investigate relevant issues using data.
  2. Support teachers in creating data investigations of relevant isues to use in their classrooms.

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LEARNING SEQUENCE

  1. Guest Speaker from local food access & advocacy nonprofit - overview of food insecurity and food access issues through local data and relevant stories
  2. We presented two interconnected datasets with spatial attributes we designed for teachers to use in a data investigation on the issue in CODAP
  3. Teachers were given time to explore the data and formulate investigation questions
  4. One group of teachers presented their findings from their investigation to the rest of the PLC for feedback on their work
  5. Teachers were given time to consider how to translate this investigation into their own classrooms

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DATA SOURCES

Data was collected through multiple sources

  • Video Recordings and Transcripts of each activity
  • Field notes during the activity
  • Teacher-participant artifacts:
    • Written reflections
    • Work products

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ANALYSIS

  • Used conjecture maps to trace how the design supported teachers' understanding of spatial data (Sandoval, 2014)
  • Collaborative reflection on embodiment, design principal, and learning outcomes

  • Developed deductive codes based on design principles (Saldaña, 2009)

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EXAMPLE - HIGHLIGHT PATH THROUGH THE CM

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SITUATE THEMSELVES AND THEIR COMMUNITIES WITHIN THE DATA�

Design Principles:

  • Data Investigations of Relevant Issues
  • Content & Context are Equally Important
  • Real Data & Appropriate Technology

Embodiments:

  • Collaborative learning activities using CODAP to investigate local spatial datasets

  • Teachers would locate their community, their school, and their student's community on the data visualization
  • Many teachers used their understanding of what grocery stores were in their area to orient themselves on the map of the spatial dataset provided
  • “CODAP allowed me to see the data and consider the locations of stores, along with poverty rate, transportation, race, etc.,”--Anna

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CRITIQUE THE DATA ITSELF �

Design Principles:

  • Data Investigations of Relevant Issues
  • Content & Context are Equally Important

Embodiments:

  • Exploring and reflecting upon local spatial datasets

  • Because the data was from the teacher’s community, they could critique the data and make sense of the patterns by ground-truthing from their own knowledge and experiences
  • “There may be more variables involved with food insecurity other than the types of grocery stores.”—Nia
  • Anna questioned “The spread of certain types of stores in certain areas.”

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RECOGNIZE COMMUNITY-LEVEL DISPARITIES IN FOOD ACCESS

Design Principles:

  • Data Investigations of Relevant Issues
  • Content & Context are Equally Important
  • Real Data & Appropriate Technology

Embodiments:

  • Collaborative learning activities using CODAP to investigate local spatial datasets

  • Teachers questioned the locations of “high-end” vs. “low-end” stores and characteristics of the communities they were located in
  • “How are people getting there ’cause it is not walkable? You’re not sending kids to walk to [blinded].”--Nancy
  • “association or relationship between SNAP and types of grocery stores available.”--Nancy

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RESULTS

Theme 1: Spatial Data Supported Teachers’ Sensemaking of content and context

  • Situate Themselves and Their Communities Within the Data
  • Critique the Data Itself 
  • Recognize Community-Level Disparities in Food Access

Theme 2: Teachers Progressed Through Cycles of Awareness, Empathy, and Action

  1. Developing Awareness Through Community-Rooted Learning
  2. Growing Empathy and a Sense of Responsibility Toward Students
  3. Envisioning Instructional Actions for Social Change

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STAGE 1: BUILDING AWARENESS AROUND THE SOCIAL ISSUE: READING THE WORLD

Design Principles:

  • Data Investigations of Relevant Issues
  • Content & Context are Equally Important
  • Real Data & Appropriate Technology

Embodiments:

  • A guest speaker’s grassroots perspective
  • Collaborative learning activities using CODAP to investivate local spatial datasets

“The emphasis is on talking to people in the community who know about issues and not just to people in charge who are separated from the issue.” �- Sarah

Teachers valued local, community-sourced data and began seeing grassroots involvement as key to change.

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STAGE 2: DEVELOPING SOCIAL AND EMOTIONAL RESPONSIBILITY THROUGH PRAXIS

Design Principle:

  • Context & Content are Equally Important

Embodiment:

  • Discussions with guest speaker and their community through storytelling around the students experiencing food insecurity

“There are students that are without food access, and we should be sensitive about how that affects their ability to learn.” - Nancy

“We need to advocate more for students who are displaying signs of hunger.” - Leona

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STAGE 3: TAKING ACTION THROUGH TEACHING (I.E. WRITING THE WORLD)

Design Principles:

  • Data Investigations of Relevant Issues
  • Ongoing Cycles of Reflection and Action

Embodiments:

  • Providing opportunities for teachers to explore food insecurity using spatial data in CODAP
  • Allowing teachers to recognize the potential ways to incorporate real-world problems into their teaching

“I plan to use this information in lessons I teach my students.” - Anna

“I think we are learning useful and meaningful statistics that can translate well into the classroom. Not just for the purpose of teaching math/statistics but to help generate a more informed generation that will one day be the ones making these very decisions.” - Nancy

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CONCLUSIONS

  • Situating the data investigation in a relevant issue to the community supported the teacher’s engagement with the data and had a bootstrapping effect with their learning of critical statistical literacy practices and food access in their community.
  • In particular, the visualization of the data seems to help the teachers see the inequities and spark them to explore more and search for answers in the data while also connecting to their knowledge of the community.

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CONCLUSIONS

  • Placing equal emphasis on context and content knowledge is challenging but important for carrying out authentic practice (i.e. data investigations)
  • Engaging in relevant community-based data investigations can develop teachers’ critical awareness and agency

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CHALLENGES

  • The teachers describe the activities from the PLC as translating to their own classroom teaching.
  • However, to date few teachers have incorporated lessons based on this experience in their own teaching
  • They do however discuss their experiences of this learning sequence as important and memorable
  • We are still teasing out how this learning sequence supported their long-term development

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THANK YOU!

Check out our website www.criticalstatisticalliteracy.org

Contact Us

Travis Weiland, tweilan1@charlotte.edu

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REFERENCES

Freire, P. (1970). Pedagogy of the oppressed. Continuum.

Weiland, T. (2017). Problematizing statistical literacy: An intersection of critical and statistical literacies. Educational� Studies in Mathematics, 96(1), 33-47.

Weiland, T. (2019). The contextualized situations constructed for the use of statistics by school mathematics� textbooks. Statistics Education Research Journal, 18(2), 18-38.

Freire, P., & Macedo, D. (1987). Literacy: Reading the word and the world. Taylor and Francis.

Harper, F. K. (2017). Coming to understand the big issues: remaking meaning of social justice

Rubel, L. H., Lim, V. Y., Hall-Wieckert, M., & Sullivan, M. (2016). Teaching mathematics for� spatial justice: An investigation of the lottery. Cognition and Instruction, 34(1), 1–26.� https://doi.org/10.1080/07370008.2015.1118691

Willey, C., & Pinheiro, W. A. (2019). Supporting prospective urban teachers to access children’s multiple mathematical knowledge bases: Community mathematics� explorations.Transforming Mathematics Teacher Education: An Equity-Based Approach, 57-76.

Saldaña, J. (2009). The coding manual for qualitative researchers. Sage.