PLAN 5 : Analyzing and Responding to Data [email protected]om Get Ready : Sit with someone teaching the same content as you this summer. Have your diagnostic data handy. “It is a capital mistake to theorize before one has data.” - Sir Arthur Conan Doyle
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PLAN 5 : Analyzing and Responding to Data lkirklin.cs.chicago@gmail
PLAN 5 : Analyzing and Responding to Data [email protected]. Get Ready :Sit with someone teaching the same content as you this summer. Have your diagnostic data handy. “ It is a capital mistake to theorize before one has data.” - Sir Arthur Conan Doyle. Do Now- 7 min. - PowerPoint PPT Presentation
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PLAN 5: Analyzing and Responding to Data
[email protected] Ready: Sit with someone teaching the same content as you this summer.
Have your diagnostic data handy.
“It is a capital mistake to theorize before one has data.”
- Sir Arthur Conan Doyle
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Do Now- 7 min.
You have given your diagnostic assessment. Of your 30 students:
A. Continue with your Unit Plan as written and not re-teach any objectives?
B. Spend a week re-teaching the objectives 7 students did not master?
C. Spend more than a week re-teaching every objective that a student did not master?
D. Some other option altogether? (If you choose this, define your option.)
What advantages do you believe your choice will have for your students?
What disadvantages do you believe your choice will have for your students?
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Key Idea
Effective teachers don’t only create plans; they consistently reevaluate those plans based
on their data, and make instructional decisions based
on that analysis.
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Objectives
CMWBAT:
1) Analyze their diagnostic data in order to plan effective instructional responses.
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Related Rubric Actions
E-6: Evaluates and keeps track of students’ performance on assessments so that the teacher
and students are aware of students’ progress on academic, behavioral, and investment goals.
C-1: Gauges progress and notable gap(s) between student achievement and big goals by
examining assessment data.
Note: You are not scored on these rows at institute. However, this skill of analyzing and responding to data is critical to the success
of summer school students.
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Output
Moving Forward:
CM’s will answer analysis questions about their diagnostic data for continued use in a follow-up CMA session designed to allow them to plan a response to this data analysis.
Question Based Agenda
Do Now How do I choose a plan of action?
Intro/ Opening What’s the Big Picture?
Intro to New Material
How do I collect data?
How should I analyze data?
How should I respond to data?
CS Modeling What does this look like in practice?
CM Practice How does it work for my class?
Closing What next steps am I taking?
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Do Now Debrief
It is my responsibility to address my students’ missing
knowledge and skills while still keeping the class on pace to
meet our larger goals.
Which option did you choose? What advantages and disadvantages were there? Was this a difficult choice? Were you too paralyzed to even make a choice? What other information did you want?
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Types of Assessments (review from PLAN 2)
SUMMATIVE
FORMATIVE
DIAGNOSTIC
WHAT WHEN WHY EXAMPLES
formal measurement of growth and
mastery
at the end of a set of lessons
to evaluate and track growth
and mastery ; to evaluate
efficacy of lessons
unit assessments ;
mid-terms ; year-end tests
gauge of progress toward
mastery of assessment
throughout lesson cycle –
particularly during
Independent Practice
to inform your instruction,
enabling you to make data-
based decisions
quizzes ; practice sets ;
exit tickets
formal measurement
of readiness on skills
foundational to your content
prior to instruction at
the start of the year or on a
particular unit
to make decisions about
grouping, remedial
instruction, etc.
DRA ; WRAP ; QSI ; math
assessment for Chemistry students
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What Information Can All Assessments Provide?
Type of Information Extended Description
Overall Class Average
Class Avg. on Specific Obj.
Indiv. Students’ Overall Scores
Indiv. Students’ Scores on Particular Obj.
Trends Among Obj.
broad snapshot view of whole class performance on entire assessment
indicates which obj. majority of students mastered and which obj. students struggled with
clear sense of how individual student performed on an entire assessment
indicates which students need remediation on which objectives
helps you think about how particular objectives might have influenced others
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The Tracking Tool
Your TRACKING TOOL will help you manipulate all this information…
BUT
Just as a won’t build a ,
your tracking tool won’t ANALYZE your data!!!
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Key Ideas
It is my responsibility to adjust my instruction if I have evidence that my students aren’t
learning.
and
My instruction must be informed by the ANALYSIS of data.
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Purpose for Analyzing Data- Handout 1- (pg. 393)
Effective teachers analyze data in order to determine and confirm the following for the whole class, groups of students, and individual students:
• what to TEACH
• what to REMEDIATE
• what to ENRICH
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Questions in Data Analysis
When looking at assessment data, you need to look for the following pieces of information:
• What are the class’ STRENGTHS?
• What are the class’ WEAKNESSES?
• What TRENDS do I see among objectives?
• How might I GROUP students according to their relative mastery levels?
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Post-Analysis Questions
After analyzing my data, I must:
• Determine the amount of flexibility I have in adjusting my unit plan.
• Possible: Remove objectives which have been mastered by the whole class.
• Definite: Consider if any pre-requisite skills are missing for objectives which are whole-class weaknesses.
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Post-Analysis Decision-Making
My next step adjustments might include:
• Adjusting my entire instructional sequence to include objectives that I now realize students need (or to delete objectives that the whole class has mastered).
• Finding time within my day/lesson to include remediation of objectives for individuals, small groups, or the whole group.
• Finding ways to build in reinforcement of certain objectives during lessons focusing on other objectives.
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Instructional Strategies to Re-Teach or Reinforce-(pg. 394)Methods for reteaching objectives / building prerequisite skills:
• Offering small-group instruction, to reteach content/skills explicitly
• Including review or practice of target objectives in daily Do Nows/morning messages
• Building in practice with taret skills/content through classroom centers
• Offering differentiated homework assignments to ensure that students can continue to practice skills/content they need
• Tutoring students on objectives they have not mastered before or after-school
• Scaffolding independent practice so that it starts with prerequisite objectives and works up to more challenging, current objectives
• Including questions related to previously-taught objectives in guided practice
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Key Idea
The most effective teachers consistently analyze their data
and make instructional choices based on those
results.
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CS Think-Aloud: Analyzing Data (1 of 10)pg. 396-397
What are my classes’
strengths?
What are my classes’
weaknesses?
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CS Think-Aloud: Analyzing Data (2 of 10)
•79% of students mastered #M03-S1C1-05: “Write whole #’s through 100 in or out of order.”
“This is a whole-class strength, which is important because this objective is foundational to mastering others in the unit.”
•Over 50% of students mastered 3 other objectives:
63% M03-S1C1-10: “Identify odd and even whole #’s.”
58% M03-S1C1-14: “Compare measurable characteristics of
two objects.”
58% M04-S1C1-02: “Order 3 or more whole #’s through 100.”
“We’re pretty weak on the rest of the objectives – student mastery does not exceed 50% on any of them.”
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CS Think-Aloud: Analyzing Data (3 of 10)
What trends are there among objectives?
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CS Think-Aloud: Analyzing Data (4 of 10)
•4 objectives deal with representing whole #’s in different forms:
“Even though 79% can write whole #’s, my students are having trouble with place value and representing numbers in different ways.”
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CS Think-Aloud: Analyzing Data (5 of 10)
What pre-requisite skills
might be missing?
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CS Think-Aloud: Analyzing Data (6 of 10)
“I’m going to have to further examine how the 1st objective (writing whole #’s) is connected to the 4 dealing with representing these numbers in different forms.”
AND
•50% of students mastered M03-S1C1-16: “Measure a given object using appropriate units of measure.”
“I think this is a pre-requisite skill to other objectives in this unit that are about measurement and accuracy.”
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CS Think-Aloud: Analyzing Data (7 of 10)
What are the strengths and challenges of
individual students?
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CS Think-Aloud: Analyzing Data (8 of 10)
•Mae Kirby: 71% on diagnostic
“I’ll need to build in additional methods of enrichment for Mae – maybe I can look at objectives that come after this unit to challenge her further.”
•5 students – Michael Ball, Marquis Ford, Ben Malinek, Dara Rodriguez, Elliot Sierra: scored in the 20% range on the diagnostic
“I’ll need to do some small group and individual remediation with these students – and perhaps with the students who scored in the 30% range as well…”
•4 out of the 5 above missed the 1st objective on writing whole #’s
“I’ll need to start with that objective, as it is foundational to mastery of the others.”
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CS Think-Aloud: Analyzing Data (9 of 10)
What techniques might I use to
reinforce those objectives with low mastery?
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CS Think-Aloud: Analyzing Data (10 of 10)
•School expects teachers to execute the unit plan as it is given – not much room for rearrangement or modification.
“I don’t think I should use the same strategy for every objective and every group of students…”
•Small Group Work: 5 weakest students during lunch
•Daily Do Now: whole-class practice of problems that use students’ prior knowledge – build
students up to that day’s objective•Scaffolded IP: start with easier problems and build up
•Differentiated Hmwk.: all students get to practice the objective, but at varied levels of complexity
An important know on strategically pairing/ grouping students…
Top HalfMae Kirby- A
Avion Miller- B
John Palmer- B
Sonia Wang- B
Oliver Adams- C
Alex Barnett- C
Shawn Brothers- C
Sarah Jefferson- C
Lucille Michaels- C
Alicia Samson- C
Tamar Weaver- C
Max Webb- C
Bottom HalfAshley Dukes- D
Jessica Smith- D
Kathie Stephenson- D
William Walters- D
Eric Zee- D
Pat Goodberg- E
Rachael Lott- E
Marquis Ford- F
Elliot Sierra- F
Michael Ball- F
Ben Malinek- F
Dara Rodriguez- F29
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Practice – Analyzing YOUR Diagnostic Datapg. 395
Immediate Task (in this session)
• Analyze your diagnostic data by answering the questions on the “Student Data Analysis” handout.
Next Task (in follow-up CMA session)
• Figure out how to respond to your diagnostic data, based on the analysis you do in this session
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Closing – Evaluation of Process
What are the strengths of this process? What are the challenges of this process?
Think back to the analysis work you just did:
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Closing – Key Idea Recap
Answer the following:
1) With regard to data analysis, what do effective teachers do?
2) What does effective data analysis consider?
3) Why is adjusting plans based on data necessary?
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Next Steps
• Comparing your responses to the data analysis questions to those of your collaborative partners.
• Working in a follow-up CMA session to determine a response to your data analysis.
• Adjusting your Unit Plan
• Planning for Academic Intervention Hour
• Tracking and responding to student data throughout the summer.
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Bottom Line
It is my responsibility to adjust my instruction if I have evidence my
students aren’t learning.
Take 2 min. to complete your “Corps Member Can” self-tracker.