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Reflecting on Practice with Data

Once we have figured out what data skills* integrate into our teaching, it is necessary for us to reflect on how and why we teach with data. For example,

  • How can we best leverage current research in designing learning experiences and leveraging datasets/tools with our students?

  • How can we strategically vary our students opportunities to work with and make meaning of data to help their data literacy mastery?

  • How can we best facilitate our students thinking, talking, and learning with data?

We will explore these and other questions that relate to our practice of teaching with data to set ourselves and our students up for success when working with data.

*If you are interested in finding support in what data skills to teach, consider participating in the Data Literacy Series workshops

Fall 2023 Cohort (coming soon)

 

REFLECTING ON PRACTICE WITH DATA WINTER 2022 FELLOWSHIP

  • Who: STEM supervisors, instructional coaches, curriculum developers, district professional development providers
  • What: Cohort-based program
  • When: Fall 2023
    • Personalized video calls with your mentor
    • Synchronous group learning sessions
    • Synchronous Q&A calls monthly
    • Online community
  • Where: in a password protected online course platform and Zoom meeting as interactive, synchronous, online video meetings
  • How: acceptance as a member of the cohort and a deposit for participation in the program

 

COHORT IS LIMITED TO A MAXIMUM OF 10 PEOPLE. DEADLINE TO APPLY (COMING SOON)

We look forward to exploring data and learning with you!

WHAT DO WE EXPLORE IN THE REFLECTING ON PRACTICE WITH DATA FELLOWSHIP?

We have collaborated with the Reflecting on Practice (RoP) and Mozilla Open Leaders (OL) projects to develop a 12-week fellowship program for STEM educators and supervisors. We will leverage the RoP and OL programs, as well as best practices of teaching with data to explore how we can most effectively integrate data and data literacy into our NGSS and CCM teaching practices with data.

Through pre-readings, bi-weekly online workshops, and follow up reflections we will develop a community of practice around teaching with data through the cohort of fellows. Additionally, through bi-weekly mentor meetings we will reflect on what this means for our own individual practice and receive support along the way as we work to apply these approaches to our own circumstances.

REFLECTING ON LEARNING AND WITH DATA

We will explore learning beliefs and behaviors as well as effective reflective practices to integrate into our STEM instructions. We will discuss how to leverage these approaches when it comes to working and teaching with data.

HOW PEOPLE LEARN WITH DATA

We will dive deeper into what research says about how people learn and learners' prior knowledge within our instruction. After exploring how people learn in general we will investigate what this means for integrating data into our classroom instruction.

LEARNING CONVERSATIONS WITH DATA

We will explore the power of conversations and talking in learning for retention and comprehension. We will discuss effective ways to facilitate productive learning conversations, especially as it relates to making sense of data.

OBJECTS AND DESIGN WITH DATA 

We will dive into the role that objects play in learning and how we can best design learning experiences around the research. Working with data comes with a wide range of objects in our instruction, and we will explore how best to utilize these objects for our students learning.

DESIGNING LEARNING EXPERIENCES WITH DATA 

We will explore research-based ways to design effective learning experiences for students to learn not only the content but also core critical thinking skills to apply to other situations. We will explore various research-based ways to design and facilitate our learning experiences with data to capitalize on this.

6 KEY IDEAS FOR WORKING WITH DATA

We will explore 6 key ideas based that are foundational to successfully work with and make sense of data: data has context; expect something from data; data are many, not one; actively work with data; question data and claims; and there is always uncertainty. We will experience and explore each as learners ourselves and reflect on how we can integrate these in when facilitating learning experiences.