free powerpoint backgrounds data collection and presentation
TRANSCRIPT
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Free PowerPoint Backgrounds
Step 3 and Step 7
• Data collection does not need to be lengthy process with lots of grading or time consuming data entry.
• Both pre-assessment and post assessment can be done in just a couple of minutes.
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Methods of data collection• Consensogram • Students write a number indicating their
knowledge on a topic– on a post it – on an assignment – or at the end of an assessment– as a closer/ anticipatory set
• Yes or no questions• Pre-test & Post-test – At the end of the unit exam, add 3 questions from
next cycle.– Poll on your google website.
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More data collection• Graded assignments– Labs, projects, essays, homework– Can be just two or three questions
from that document rather than the whole thing
– Can be one part of a rubric (i.e. just voice) rather than the whole thing
• Selecting a small number of questions from an assessment you already have
• Clickers/Cell Phones
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ENG 101 Period 1 and 2 Body Paragraph Consensogram – Pre Assessment
1 2 3 4 5Help!
I don’t know where to start when writing
body paragraphs. These
descriptors seem foreign to me.
I struggle with writing body paragraphs. I wasn’t quite aware of the
descriptors we discussed, and am not quite
sure how to get there.
I am adequate at writing body paragraphs. I know what
should go into the body
paragraphs, but I am not quite
there yet!
I feel quite comfortable at writing body
paragraphs, and my body
paragraphs almost meet all the descriptors
for a strong body paragraph.
I am an expert at writing body
paragraphs! I can successfully
achieve all the descriptors for a
strong body paragraph.
On a post it – please put the number where you feel identifies your comfort level/ability with writing body paragraphs! No names – just the number! This is your ticket out the door!
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ENG 101 Period 1 and 2 Body Paragraph Consensogram – Pre & Post Assessment
1 2 3 4 505
101520253035404550
05
41
14
00 04
45
10Num
ber o
f Stu
dent
sDescrip
tors
Help! I don’t know where to
start when writing body paragraphs. These
descriptors seem foreign to me.
I struggle with writing body paragraphs. I
wasn’t quite aware of the descriptors we
discussed, and am not quite sure how to get
there.
I am adequate at writing body paragraphs. I know what should go into the body paragraphs, but I am not quite there yet!
I feel quite
comfortable at
writing body
paragraphs, and
my body paragrap
hs almost meet all
the descriptor
s for a strong body
paragraph.
Base Level ApproachingProficiency
Proficient Mastery
Level
Pre-Test: 23% at Mastery LevelPost-Test: 93% at Mastery Level
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Period 3 Period 4 Period 50%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
6 9 3
26
50
34
68
41
63
STUDYPOST-TEST Unit 3
80-10060-790-59
Class Period
Perc
enta
ge o
f Stu
dent
s
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A B C D F0
2
4
6
8
10
12
14
DNA/Meiosis Quiz Grade Distribution
Letter Grade
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Meets
ApproachFalls Far Be-low
Exceeds
DNA/Meiosis Quizmeets
approach
falls far below
Molecular Genetics Pre-Test
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Pie Charts
• Good for comparing percentages. • Try to stay away from class
averages• Can only do one class or one
assessment at a time.
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Bar Graph
• Can compare multiple classes or multiple assessments.
• Easy to see how classes compare or the comparison between pre/post test.
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Every graph should include:
• Title • Labels on both axes• Legend for any data sets (multiple
lines or bars)
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Title of Graph
• Click on the graph• Under the Layout tab• Title should be descriptive – Example: rather than just Unit 1,
what about Unit 1?
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X (horizontal) Axis
• Almost always have to add your label• Will usually be the type of
assessment, grade range on the assessment, or level of understanding
• Time will be on this axis
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Y (vertical) axis
• Add your label• This will usually be
the number of students
• Make sure to scale your axis appropriately
• If it looks off, change the scale
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Displaying Data• Once you have collected your data,
you will need to display it on the board in your classroom.
• There are a lot of easy ways to do this electronically.
• Today we are going to show you how to display your data in pie charts, bar graphs, and line graphs