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Session 2: Frame questions and use data

During this session, we will consider how to use questions to drive inquiry into our classroom practices. We will also look at how data are collected and communicated between both users and systems and ethics related to that. While most of the work of a classroom teacher may not include frequent access with state or national data, it is important to understand how to access additional information.

This page is rather long. :/ Be sure to bring your snacks along as you make your way down the page. The top section relates to the Identify problems and frame questions section of our framework. Keep on scrolling, scrolling, scrolling for Use data.

Readings

None required for this week. Instead, complete the first assignment (see Session 1 Page for details) and spend a few minutes clicking through the resources listed below.

Agenda

  • Identify problems and frame questions
  • What's the problem you're trying to solve?
  • Involving other participants or stakeholders
  • Student privacy and data ethics
  • Use data
  • Debrief Assignment #1 (consider data organization, management, quality, types)
  • Data sources

Frame questions

Here is what your input on the framework looked like for Identify problems and frame questions and Use data. These are the two areas of the framework we will focus on during our time together.:

Involve other participants or stakeholders was identified by three students as something they most wanted to learn in this area. I've placed some resources at the bottom of this page, but we will certainly spend some time talking about how to include educators, parents, and students as part of the decision-making process. How do we involve other stakeholders in our work? Whether they are peers, students, families, or community, we can use data with them (as opposed to something we do to them) to enact and support positive change. We will also start a conversation about data privacy and ethics around what we collect and share.

Background

One of the promises of our abundance of data is its democratization—the ability for anyone to access and share the stories found within the data. However, this work requires a basic level of data literacy that many may not have. Miriam Posner, a professor in the digital humanities program at UCLA, reminds us that “The boxes we use to label others are often not the ones they might use to describe themselves.” When data use and storytelling with data are the province of only a few skilled people, we are not inclusive of the views of others. We can only expect disproportionate outcomes from this absence of voice “because a single visualization supplied by authorities may show only one facet of the data” (Jofre, 2016). To use data in service of equity, we must do better in our collaborations with students, parents, and the community. This is not just about building their skills with data, but also creating spaces for them to tell their own stories. In Feminism and Methodology: Social Science Issues (1987), Sandra Harding notes that “the questions an oppressed group wants answered are rarely requests for so-called truth. Instead, they are queries about how to change conditions.”

Resources

The sites below are offered as some quick starting points for exploration. You do not need to review them in depth, but take a quick glance at them. Consider where the data entered either about you or by you ends up.

Sample community data projects and resources

Student data privacy

  • The Family Educational Rights and Privacy Act (FERPA) is a federal law that protects student privacy in terms of education records. It even applies to college students like you. As a classroom teacher, it is important to understand what you should or shouldn't share (and with whom).
  • OSPI also has a page devoted to student privacy for our state. In addition, it uses a data governance group to determine what types of data should be collected.

Literature review

The articles below are not required reading. They are included here as reference only.

Cantù, D., & Selloni, D. (2013). From engaging to empowering people: a set of co-design experiments with a service design perspective.

Chueng-Nainby, P., & Lee, J. Transformative Learning: Co-design with Communities’ Collective Imagery as Data for Social Innovation.

David, S., Sabiescu, A. G., & Cantoni, L. (2013, November). Co-design with communities. A reflection on the literature. In Proceedings of the 7th International Development Informatics Association Conference (IDIA) (pp. 152-166).

Jofre, A., Szigeti, S., & Diamond, S. (2016). Citizen engagement through tangible data representation. Foro de Educación, 14(20), 305-325.

Kim, Y. S., Reinecke, K., & Hullman, J. (2018). Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation. IEEE Transactions on Visualization & Computer Graphics, (1), 1-1.

Taylor, A. S., Lindley, S., Regan, T., Sweeney, D., Vlachokyriakos, V., Grainger, L., & Lingel, J. (2015, April). Data-in-place: Thinking through the relations between data and community. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 2863-2872). ACM.

Use data

There was not a clear cut winner in this area. We will try to address the various learning interests in Sessions 2 and 3. For this session, we will primarily focus on possible sources/variety of data.

Data sources

The Office of Superintendent of Public Instruction (OSPI) hosts a variety of data, from student performance, to facilities, to fiscal allocations, and more. We will talk about the various paths and connections between these during class time, but here are a few of the most relevant starting points to learn more:

  • You can view and download historic data for districts and schools on the Data Portal.
  • Our state report card is intended to answer parent and community questions about student demographics, program participation, and performance.

The Educational Research Data Center (ERDC) has built a longitudinal data system that includes information on Washington students across multiple sectors. These sectors include early learning, K-12, post-secondary, and workforce sectors. These data are shared with ERDC by partnering agencies and institutions across the state. In this way, ERDC acts as a kind of “central hub,” where partnering agencies, institutions, and organizations can pool their data and seek answers to questions that none of them have the resources to answer by themselves.

Visit the National Center for Educational Statistics is the primary federal entity for collecting and analyzing data related to education in the U.S. and other nations. You may also be interested in the Civil Rights Data Collection which collects and publishes educational data related to civil rights and equity.

Many public organizations have open data collections (and, if not, you can obtain information through the public disclosure process). Here are some links to additional collections, including wikipedia edits, air quality, Pokemon, and more.

Head over to Data USA, a "comprehensive website and visualization engine of public US Government data" to find, map, compare, or download all manner of data related to living in the United States.