Nu data building data expertise in schools seminar 1 orientation dr beth doll
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NU Data: Building Data Expertise in Schools Seminar 1 Orientation Dr . Beth Doll. The NU Data project will…. Develop the NU Data professional development program Prepare teachers to use data based decision-making

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Nu data building data expertise in schools seminar 1 orientation dr beth doll

NU Data: Building Data Expertise in Schools Seminar 1 Orientation Dr. Beth Doll


The nu data project will
The NU Data project will….

  • Develop the NU Data professional development program

  • Prepare teachers to use data based decision-making

  • Improve the academic achievement, behavioral success, and academic engagement of students with disabilities



Students school success emerges in part from the learning environments in which they are immersed
Students’ school success emerges, in part, from the learning environments in which they are immersed


Data should document students achievement behavior or academic engagement
Data should document students’ achievement, behavior, or learning environments in which they are immersed academic engagement.

Taking Charge

Belonging

Concentrating

On Task


Data-Based learning environments in which they are immersed Problem-Solving


Nu data is designed to strengthen six data pragmatics
NU Data is designed to strengthen six learning environments in which they are immersed Data Pragmatics:

  • Knowing of a variety of ways to collect data

  • Choosing the best measure to answer the team’s questions about a student

  • Organizing and graphing the data

  • Making sense of meaningful trends and differences in student data

  • Using the data in team problem solving and planning

  • Selecting interventions to use in response to the data


What nu data participants will do
What NU Data participants will do… learning environments in which they are immersed

  • Apply the principles of data collection with at least two students who are underperforming

  • Access online resources as needed to support work with the students

  • Participate in weekly peer and expert coaching on teams’ use of data

  • Participate in the NU Data evaluation


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