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Sparking the Move from Data to Instruction

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Presentation on theme: "Sparking the Move from Data to Instruction"— Presentation transcript:

1 Sparking the Move from Data to Instruction
TSI Conference October 2011

2 10/27/2019

3 A Look at the Information
10/27/2019

4 What We Know about Data We have a lot of it!
We can generate almost any kind of report we want! We know how to read the reports. We know how to analyze the numbers. 10/27/2019

5 Do We Really Understand?
10/27/2019

6 What We Might Not Know about Data
How to stay current with what the data is telling us How to interpret the data so that we take action How to reflect on data to see the correlation between teaching and learning 10/27/2019

7 Working with Data 10/27/2019

8 Why Data Is Important to Teachers
Allows the teacher to be diagnostic Class Small groups Individual students Allows the teacher to be prescriptive Minimizes development of learning gaps for students Eliminates the “surprise factor” 10/27/2019

9 Evidence of Learning 10/27/2019

10 Why Data Is Important to Students
Builds confidence about what they know and are able to do Informs them about what they need to learn Allows for goal-setting Fosters an understanding of self-monitoring 10/27/2019

11 10/27/2019

12 Data Tools 10/27/2019

13 The Tools We Need Anecdotal/informal data about student learning
Item analysis report from formative assessments Protocol for analyzing data from formative assessments Protocol for reflecting on instruction Forms for recording mastery of SEs per class Forms/processes for students to track mastery of SEs 10/27/2019

14 From Data to Instruction
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15 Department Meeting Agenda
Date Time Attendees Other Attendees Notes Concerns Next Steps Analysis of Student Data (following mini-assessments/ benchmarks) Progress Reports (passing/failure rates) Interventions for Individual Students Classroom Management Parent Contacts Instructional Strategies Follow-Up Upcoming TEKS: Exemplar Lessons Other 10/27/2019

16 10/27/2019

17 Anecdotal/Informal Data
“Juan knew all of his multiplication facts today. He was able to do long division problems quickly.” “The science lab lesson kept students engaged. However, they did not perform well on the follow-up assessment.” “There are six students who need a reteach lesson on writing good introductory sentences.” 10/27/2019

18 Class Data, Item Analysis
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19 Student Data, Item Analysis
Reporting Categories Readiness Standards Formative Assessment 10/23/2011 Supporting Standards Functional Relationships A.1.D represent relationships among quantities using concrete models, tables, graphs, diagrams, verbal descriptions, equations, and inequalities 3/4 A.1.A describe independent and dependent quantities in functional relationships 2/4 A.1.E interpret and make decisions, predictions, and critical judgments from functional relationships 4/6 A.1.B gather and record data and use data sets to determine functional relationships between quantities 5/6 A.1.C describe functional relationships for given problem situations and write equations or inequalities to answer questions arising from the situations 1/4 Properties and Attributes of Functions A.2.B identify mathematical domains and ranges and determine reasonable domain and range values for given situations, both continuous and discrete 2/6 A.2.A identify and sketch the general forms of linear (y = x) and quadratic (y = x2) parent functions 10/27/2019

20 10/27/2019

21 Now That We Have Analyzed… Actions We Might Take
SES Tutorials Flexible grouping Individualized instruction On-line practice You Tube video assignments Reteach 10/27/2019

22 Putting Systems in Place
How often will data be analyzed? Will teachers receive assessment reports or generate them for their class(es)? How and when will teachers analyze data (for example, during meetings or prior to the meetings)? Will they be provided a protocol for reflecting on the data? Will they develop a plan for next steps? If so, will these be discussed with administrators? Will students track their own learning? How will student progress be reported to parents? 10/27/2019

23 In Conclusion Data is an important tool.
Data analysis provides us with important information. Data analysis is only useful if it results in actions being taken to better meet the needs of students. Structures, processes and systems regarding use of data will result in school improvement. 10/27/2019

24 Karleen Noake, Ed. D. 10/27/2019


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