This instructional module is targeted for teachers new to the data team process. The data team process is important for collaboration and increased student growth. Fellow data team members can use their collective expertise to ensure all students show growth in learning. This module will help demystify the data teams process.
Measures of Central Tendency: Mean, Median and Mode
Latham 722 Instructional Module
1. Data Teams
Instructional Module
Created by Lori Latham
EDET 703, J61
This instructional module is targeted for teachers new to the data team process.
The data team process is important for collaboration and increased student
growth. Fellow data team members can use their collective expertise to ensure
all students show growth in learning. This module will help demystify the data
teams process.
2. ▪ To return to the first slide of this module, click
▪ To advance to the next slide, click
▪ To go back to the previous slide, click
▪ To end the instructional module, click
▪ The navigation bar (as shown below) will take you to
the first slide of the specified section.
Navigating the Data Team Meeting
Instructional Module
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Post-
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3. Prerequisites
▪ You are an educator in Lexington-Richland School District #5.
▪ You are a member of a data team.
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4. Welcome
▪ The aim of the data team meeting instructional module:
– Educators in a data team meeting will be able to conduct effective data team
meetings that focus on developing and revising instructional strategies.
▪ The post-test at the end of the module should be taken after you
have successfully completed the instructional module.
▪ This module is designed for all data team members in Lexington-
Richland School District #5.
– Chapin High School’s landing page and Google Calendar are provided for
reference.
▪ For your reference, the following acronyms will be used:
– CFA (common formative assessment)
– DOK (Depth of Knowledge)
– SMART Goal (Specific, Measureable, Attainable, Realistic, Time-based)
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5. Instructional Goals
▪ At the completion of this module, you will be able to:
1. Identify the components of the pre-assessment data team meeting.
2. Identify the components of the five-step data team meeting.
3. Identify the components of the mid-assessment data team meeting.
4. Identify the components of the monitoring data team meeting.
5. Identify the components of the post-assessment data team meetings.
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6. Goal #1
▪ Identify the components of the pre-assessment data team meeting.
• Objective 1.1 – Given a list of components of a data team meeting, you will be
able to correctly identify the components found in a pre-assessment data team
meeting.
• Objective 1-2 – Given a question on a common formative assessment, you will
be able to identify the level within the Depth of Knowledge (DOK) framework.
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7. Goal #2
▪ Identify the components of the five-step data team meeting.
• Objective 2.1 – Given a list of students and their pre-common formative
assessment score, you will be able to identify the student’s level of proficiency.
• Objective 2-2 – Given a set of pre-common formative assessment data, you will
be able to calculate the SMART goal for the unit of study.
• Objective 2-3 – Given an instructional strategy, you will be able to identify
teacher actions, student actions, and student work that reflect evidence that
the instructional strategy was effective.
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8. Goal #3
▪ Identify the components of the mid-assessment data team meeting.
• Objective 3.1 – Given an example of a student response to a quick formative
assessment, you will be able to identify if the student mastered the content.
• Objective 3-2 – Given an example of an incorrect student response to a quick
formative assessment, you will be able to narrow the instructional focus to
address the student’s misunderstanding.
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9. Goal #4
▪ Identify the components of the monitoring data team meeting.
• Objective 4.1 – Given a student work sample and description of student work
expectations, you will be able to identify if the instructional strategy used to
produce the student work was effective.
• Objective 4-2 – Given an example of student work that does not show mastery
of the content, you will be able to identify an alternate instructional strategy to
be implemented by the teacher.
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10. Goal #5
▪ Identify the components of the post-assessment data team meeting.
• Objective 5.1 – Given the original SMART goal and post-common formative
assessment data, you will be able to identify whether or not the SMART goal
has been met.
• Objective 5-2 – Given a scenario of a completed data team meeting, you will be
able to identify the Google Calendar to set a meeting time and date for the next
data team meeting.
• Objective 5-3 – Given a scenario of a data team meeting in progress, you will be
able to identify the location where the proper meeting Google Form can be
found on the CHS Landing Page.
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11. Questions to consider before starting the
instructional module:
1. What are the 5 types of data team meetings?
2. What are the important components of each type of data team
meeting?
3. How can collaboration within a data team improve instruction in
the classroom?
4. How can analyzing student data improve student learning?
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12. Flow of an Instructional Unit
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13. Goal #1 - Identify the components of the
pre-assessment data team meeting.
• Objective 1.1 – Given a list of components of a data team meeting,
you will be able to correctly identify the components found in a pre-
assessment data team meeting.
• Objective 1-2 – Given a question on a common formative
assessment, you will be able to identify the level within the Depth of
Knowledge (DOK) framework.
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14. Components of the Pre-Assessment Data Team
Meeting
1. Select priority standards.
2. Unwrap priority standards.
3. Revise or rewrite the CFA.
• Develop rubrics for constructed response questions.
• Design meaningful multiple choice questions that include distractors
that uncover student misconceptions.
• Ensure that questions have a variety of Depth of Knowledge
expectations as determined by your priority standards.
• Determine proficiency levels.
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15. Which of the following is not a component of
a pre-assessment data team meeting?
Unwrap Priority Standards
Revise or Rewrite the CFA
Select SMART Goals
Select Priority Standards
A
B
C
D
16. Incorrect
Recall that the three basic components of the pre-assessment data team
meeting require the data team to:
1. Select priority standards.
2. Unwrap priority standards.
3. Revise or rewrite the CFA.
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18. Selecting and Unwrapping Priority Standards
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19. Common Formative Assessment
▪ Depth of Knowledge (DOK)
– Level 1 – Recall, Label
– Level 2 – Apply, Describe, Identify
Patterns, Organize
– Level 3 – Support, Apply a Concept,
Develop Models
– Level 4 – Design and Conduct an
Experiment, Analyze and
Synthesize Information from
Multiple Sources
Peartreeedu. (2016, August 16). Norman Webb’s Depth of Knowledge [Digital Image].
Retrieved November 3, 2016 from https://commons.wikimedia.org/wiki/ File:Depth_of_Knowledge.png
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20. Common Formative Assessment
▪ Depth of Knowledge (DOK)
– Level 1 – Question 1
– Level 2 – Question 3
– Level 3 – Question 2
– Level 4 – Not applicable on this pre-
assessment
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21. Using the following prompt, identify the DOK
level:
Identify the verb the sentence: Harry ran
home.
1
2
4
3
22. Incorrect
In this particular example, the
prompt simply requires the student
to identify the verb. There is no
skill or strategic thinking to
complete this task.
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24. Common Formative Assessment Rubrics and
Proficiency Levels
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25. Goal #2 - Identify the components of the
five-step data team meeting.
• Objective 2.1 – Given a list of students and their pre-common
formative assessment score, you will be able to identify the student’s
level of proficiency.
• Objective 2-2 – Given a set of pre-common formative assessment
data, you will be able to calculate the SMART goal for the unit of
study.
• Objective 2-3 – Given an instructional strategy, you will be able to
identify teacher actions, student actions, and student work that
reflect evidence that the instructional strategy was effective.
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26. Components of the Five-Step Data Team Meeting
1. Chart pre-CFA data.
2. Analyze pre-CFA data.
3. Set SMART goal.
4. Select instructional strategies for each level of student proficiency.
5. Determine results indicators if instructional strategy is implemented
effectively.
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27. Determining Pre-CFA Scores
1. Based on your grading rubric,
determine the proficiency level
for each student.
2. Examples:
– Student #1
– Student #2
– Student #3
3. There will be times that students
are proficient. However,
students will typically fall into
the other proficiency levels.
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29. Student #2
▪ Earned 6 points total
– Question 2 -Water input, energy input, sugar output,
oxygen output
– Question 3 – cytoplasm, ATP
▪ Progressing
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30. Student #3
Use the rubric to the right and Student #3 sample
above to identify Student 3’s proficiency level.
Needs practice
Progressing
Close to proficient
Proficient
A
B
C
D
33. Components of the Five-Step Data Team Meeting
▪ Chart pre-CFA data
0 0 1 20 20 40 29 58100Welcome
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50
34. Sample Five-Step Data Team Meeting Form
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35. Components of the Five-Step Data Team Meeting
▪ Analyze pre-CFA data
– Look for student misconceptions
– For example:
▪ Students did not know where energy
was released during the breakdown on
ATP.
▪ Overall, students knew that sunlight
was involved in photosynthesis, but did
not realize that plants contained
mitochondria and chloroplasts.
▪ Students did not know that anaerobic
respiration occurred without oxygen.
▪ Cellular energetics is not covered in
earlier grades in the same context as it
is in high school biology.
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36. Components of the Five-Step Data Team Meeting
▪ Set SMART goal
▪ Calculation
– [(Proficient +Close to Proficient
+Progressing)/Total Students] x 100
– 0+1+20=21
– 21/50=0.42
– The percentage of Biology students
scoring proficient in the Cellular Energetics
Unit will increase from 0% to 42% as
measured by the post-CFA administered
by 11/16/16.
▪ Use professional judgement when
finalizing your SMART goal. Adjusting
it based on your knowledge of your
students is advisable.
100
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37. Calculating the SMART Goal
▪ At another school in the district, 100 students were
given the same pre-CFA forCellular Energetics.
▪ Of those students, 20 were “close to proficient”, 60
were “progressing”, and 20 were “needing
practice”. Using the SMART goal equation,
Calculate the SMART goal for the percent of
students that will be proficient at the completion of
the cellular energetics unit.
20 60
40 80
A
B D
C
40. Components of the Five-Step Data Team
Meeting
▪ Select instructional strategies for
each level of student proficiency
Tyson, K. (2014, February 7). The Roberto Marzano’s 9 effective instructional strategies infographic [Digital Image].
Retrieved November 3, 2016, from http://elearninginfographics.com/the-roberto-marzanos-9-effective-
instructional-strategies-infographic/
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41. Determine Results Indicators
▪ Example #1
– Suppose you selected summarizing
and note-taking as the instructional
strategy for your “progressing”
students.
– Adult behaviors – provide lecture
materials with graphics; ask
students to summarize what they
have learned in their notes
– Student behaviors – students would
engage in the lecture by writing
notes and asking questions
– Student work – correctly written
notes with an acceptable summary
of information
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42. Determine Results Indicators
▪ Example #2
– Suppose you selected questions,
cues, and advance organizers for
your “needs practice” students.
– Adult behaviors – provide guidance
and important terms for students to
organize what they already know
– Student behaviors – students would
use important terms to show
relationships and organization
– Student work – correctly organize
important terms
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43. Determine Results Indicators
Suppose you selected identifying
similarities and differences for the
instructional strategy for “close to
proficient” students.
▪ Which of the following is a student
action for the instructional
strategy mentioned above?
Break a concept into its similar and
dissimilar characteristics.
Teacher provides aVenn diagram.
The student-produced Venn diagram
has no errors.
A
B
C
46. Goal #3 - Identify the components of the
mid-assessment data team meeting.
• Objective 3.1 – Given an example of a student response to a quick
formative assessment, you will be able to identify if the student
mastered the content.
• Objective 3-2 – Given an example of an incorrect student response to
a quick formative assessment, you will be able to narrow the
instructional focus to address the student’s misunderstanding.
Welcome
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47. Components of the Mid-Assessment Data Team Meeting
1. Use a formative assessment to gauge student learning after
instruction.
2. Determine if instructional strategies are effective.
3. Narrow the instructional focus.
4. Adjust instructional strategies for the instructional focus.
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49. Flow Chart Example
▪ You have asked the students to create a flow chart to explain the
possible methods of making ATP with and without oxygen.
Glycolysis
Fermentation
Kreb’s & ETC Alcoholic Lactic Acid
Correct Student Response Incorrect Student Response
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50. Exit Slip
You asked your 3rd grade ELA students to write three verbs on a sticky
note upon completing a lesson on verbs. Below is a sample of what
was written on one sticky note. Identify if the work sample from the
student indicates that the strategy was effective.
Yes No
53. Exit Slip
You asked your 3rd grade ELA students to write three
verbs on a sticky note upon completing a lesson on
verbs. Below is a sample of what was written on one
sticky note. The student has difficulty distinguishing
between verbs and nouns. Identify a method to
narrow the instructional focus to address the
students’ misunderstanding.
The teacher should provide notes or a reading
sample for the student with descriptions of verbs
and nouns.
The teacher should utilize nonlinguistic
representations to have the student show that
many verbs are action words.
The teacher should utilize cooperative learning to
allow for group accountability for learning about
verbs.
The teacher should set objectives for the student
to remember that verbs are typically action words.
A
B
C
D
56. Goal #4 - Identify the components of the
monitoring data team meeting.
• Objective 4.1 – Given a student work sample and description of
student work expectations, you will be able to identify if the
instructional strategy used to produce the student work was
effective.
• Objective 4-2 – Given an example of student work that does not
show mastery of the content, you will be able to identify an alternate
instructional strategy to be implemented by the teacher.
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57. Components of a Monitoring Data Team
Meeting
1. Analyze student work samples produced for each instructional
strategy that was agreed up on by the data team.
2. Reflect on the effectiveness of the instructional strategies.
3. Revise ineffective instructional strategies.
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58. Effective
Instructional
Strategy Example
▪ Generating andTesting Hypotheses
▪ Students were tasked with developing
an argument for a predicted outcome
for a lab experiment. Lab coincides
with concept taught in class.
– Class develops a procedure to follow
– Students collect data to present to class
– Lab groups explained data using the
concept taught in class
– Other classmates were able to ask
questions for clarification
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59. Ineffective
Instructional
Strategy Example
▪ Generating andTesting Hypotheses
▪ Students were tasked with
developing an argument for a
predicted outcome for a lab
experiment. Lab coincides with
concept taught in class.
– Class develops a procedure to follow
– Students collect data to present to class
– Lab groups do not understand how the
lab relates to concept in class
– Other classmates do not ask questions
because they do not understand concept
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60. Instructional Strategy – Homework and
Practice
The teacher utilized homework and practice to help students with their multiplication
facts. The image below shows a student example of the practice problems.
Identify if the instructional strategy used to produce the work sample was effective.
Yes No
63. Instructional Strategy – Cooperative Groups
The teacher utilized cooperative groups for a
research project on an important historical figure in
the United States. When the teacher asked the
students to write down 1 significant act that made an
impact on the United States, a group that researched
GeorgeWashington wrote the following: “George
Washington cut down cherry tree is significant in
United States history.”
Identify if the instructional strategy used to produce
the student work sample was effective.
Yes No
66. Reflect on instructional strategies
and revise ineffective strategies.
The teacher utilized cooperative groups for a
research project on an important historical
figure in the United States. When the
teacher asked the students to write down 1
significant act that made an impact on the
United States, a group that researched
GeorgeWashington wrote the following:
“GeorgeWashington cut down cherry tree is
significant in United States history.”
Identify an instructional strategy that could
be utilized in the next lesson to reinforce
impactful acts of important historical figures.
Summarizing and note taking
Generating and testing hypotheses
Setting objectives and providing feedback
Non-linguistic representations
A
B
C
D
69. Goal #5 - Identify the components of the
post-assessment data team meeting.
• Objective 5.1 – Given the original SMART goal and post-common formative
assessment data, you will be able to identify whether or not the SMART goal has
been met.
• Objective 5-2 – Given a scenario of a completed data team meeting, the student
will be able to identify the Google Calendar to set a meeting time and date for
the next data team meeting.
• Objective 5-3 – Given a scenario of a data team meeting in progress, you will be
able to identify the location where the proper meeting Google Form can be
found on the CHS Landing Page. Pre-
Assessment
Five Step
Mid-
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Monitoring
Post-
Assessment
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70. Components of a Post-Assessment Data
Team Meeting
▪ Chart post-CFA data.
▪ Analyze post-CFA data.
▪ Review SMART goal.
▪ Determine if instructional strategies were effective.
▪ Review results indicators for instructional strategies.
▪ Set the date for the next data team meeting in a shared Google
Calendar.
▪ Complete all forms associated with data team meetings.
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71. Reviewing SMART Goals
The original SMART goal set during the pre-assessment meeting was:
“The percentage of Biology students scoring proficient in the Cellular
Energetics Unit will increase from 0% to 42% as measured by the post-
CFA administered by 11/16/16.”
The following is data collected from the post-assessment on cellular
energetics:
– 100 students were evaluated
– 75 students were proficient
– 20 were close to proficient
– 5 were progressing
▪ Identify whether or not the SMART goal has been met.
Yes No
74. Setting Data Team Meetings in Google Calendar
▪ Your data team leader will have a data team calendar. It will be
named according to the subject that you teach.
▪ The figure on the right shows an example of the Google
Calendars that will appear on your calendar.
▪ This Google Calendar includes the “16-17 bio data teams” for the
Biology DataTeam.
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75. Finding the correct Google Calendar
You are on the US History DataTeam.
Identify the correctGoogle Calendar to set a
meeting time and date for your next data
team meeting.
US History DataTeam
2016 Secondary Science
Chapin High School
Holidays in United States
A
B
C
D
78. Complete appropriate forms for each
data team meeting!
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79. Locating the Data Team Meeting form
You have gone to the CHS Faculty Resources Google
Site (Landing Page). Identify the correct link under
the Instruction tab that you would select to find the
data team meeting summary form.
APTesting
DataTeams
Instruction Docs and Forms
SLOs and GBEs
A
B
C
D
82. Thank You for Completing the Data Team
Instructional Module!
Please click on this LINK to
complete the Post-
Assessment for the Data
Teams InstructionalUnit.
We can accomplish great
things for our students when
we work together!
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