DataBased Problem Solving and the NU Data Pragmatics

Data-Based Problem Solving and the NU Data Pragmatics A Case Example

Data-Based Problem-Solving Evaluate & refine the plan Assess needs Gather data while making the changes Make a plan for change

The Six NU Data Pragmatics: 1. Knowing a variety of ways to collect data 2. Choosing the best measures to answer the team’s questions about a student 3. Organizing and graphing the data 4. Making sense of meaningful trends and differences in student data 5. Using the data in team problem solving and planning 6. Selecting interventions to use in response to the data

The Case: • Student: Mary (age 9, grade 4) • Strengths: Nice student, interacts well with others, wants to do well in school • Problems Identified: Diagnosed with ADHD, currently functioning on a 2 nd grade reading level, easily distracted by others, unorganized, often misplaces books/papers, occasionally forgets HW, difficulty completing her work in a timely manner, difficulty following directions • Data Collected: Other than grades and some observational notes, very little data has been collected on Mary • First Steps: Collect some broad screening data on Mary’s academic achievement, behavioral success and academic engagement

Screening Data Collected Using the TPR (Teacher Participation Report)

MC’s Screening Data Entered and Graphed in Excel: Do you find this graph easy to read? There is a better way to graph this data…

MC’s Screening Data Graphed by Category: (Using a Marked Scatter-Chart with Trendlines) What do the data tell us?

MC’s Worksheet 1: Data-Based Problem Solving (front):

MC’s Worksheet 1: Data-Based Problem Solving (back):

Revisiting the Six NU Data Pragmatics:

First Two Weeks of MC’s Progress Monitoring Data Using the Self-Graphing Form:

First Two Weeks of MC’s Progress Monitoring Data Organized and Graphed in Excel: What do the data tell us?

MC’s Worksheet 2: Assessing Needs and Planning Interventions (front):

MC’s Worksheet 2: Assessing Needs and Planning Interventions (back):

Four Weeks of MC’s Progress Monitoring Data Using the Self-Graphing Form:

Four Weeks of MC’s Progress Monitoring Data Organized in Excel:

Four Weeks of MC’s Progress Monitoring Data Graphed in Excel: What do the data tell us?

MC’s Worksheet 3: Tracking and Evaluating Interventions

Revisiting the Six NU Data Pragmatics: