Transcript Data for Student Success

Data for Student Success
November, 2009
Lansing, MI
“It is about focusing on building a culture of quality data
through professional development and web based
dynamic inquiries for school improvement.”
Introduction to the Grant
• Federal Title II Part D of the NCLB Act of
2001 Enhancing Education through
Technology Grant awarded through CEPI
OUTCOMES:
1.
IDENTIFY IMPORTANT TOPICS RELATED
TO MME
2.
LEARN MORE ABOUT MME STANDARDS,
COMPONENTS, AND ASSESSMENT
DESIGN
3.
DEMONSTRATE AND EXPLORE THE NEW
MME INQUIRIES
WHAT DO YOU KNOW ABOUT
MME?
MME Spring 2009
Assessment Design
(SEE HANDOUT)
Spring 2009 MME
Contributing
Components
(SEE HANDOUT)
Spring 2009 MME
High School Content
Standards by Subject
(SEE HANDOUT)
www.data4ss.org
User name: demo_test1
Password: fall_01
www.data4ss.org
User name: demo_test1
Password: fall_01
Michigan Annual AYP Objectives
Reading/ELA
School Year
Grade
3
4
5
6
7
8
11
2001-02
38%
31%
42%
2002-03
38%
31%
42%
2003-04
38%
31%
42%
2004-05
48%
43%
52%
2005-06
50%
48%
46%
45%
43%
41%
52%
2006-07
50%
48%
46%
45%
43%
41%
52%
2007-08
60%
59%
57%
56%
54%
53%
61%
2008-09
60%
59%
57%
56%
54%
53%
61%
2009-10
70%
69%
68%
67%
66%
65%
71%
2010-11
78%
77%
76%
75%
74%
73%
79%
2011-12
86%
85%
84%
83%
82%
82%
86%
2012-13
93%
92%
92%
91%
91%
91%
93%
2013-14
100%
100%
100%
100%
100%
100%
100%
Mathematics
School Year
Grade
3
4
5
6
7
8
11
2001-02
47%
31%
33%
2002-03
47%
31%
33%
2003-04
47%
31%
33%
2004-05
56%
43%
44%
2005-06
59%
56%
53%
50%
46%
43%
44%
2006-07
59%
56%
53%
50%
46%
43%
44%
2007-08
67%
65%
62%
60%
57%
54%
55%
2008-09
67%
65%
62%
60%
57%
54%
55%
2009-10
67%
65%
62%
60%
57%
54%
55%
2010-11
75%
74%
71%
70%
67%
66%
67%
2011-12
83%
82%
81%
80%
78%
77%
78%
2012-13
91%
91%
90%
90%
89%
89%
89%
2013-14
100%
100%
100%
100%
100%
100%
100%
School Data Dig
• Access your own school’s data
• You may use the templates provided to
record your own MME data for
– MME Proficiency 11th grade
– MME Proficiency Subgroups
MME Standard Analysis
Accessing Demo Data
•
•
•
•
•
•
•
www.data4ss.org
Dynamic Inquiry
Access Dynamic Inquiry Tool
User Name: demo_test1
Password: fall_01
MME
Standard Analysis
27
Navigation Process for Demo
Site
•
•
•
•
•
•
•
•
Select Inquiry Settings - tab
Select Demo ISD
Select Disneyland School District
Select Grezbian High School
Select 11th grade
Select Reading
Select 2008-09
View Results
28
MME Standard Analysis
29
MME Blueprint for 2008-2009
30
MME Standard Analysis
Main Graph
• Identifies points possible for each standard
within a content area
• Identifies average number of points
received by the state and the school in
each standard assessed
• Identifies the Blueprint which shows the
breakdown of points and percentage by
standard for each content area
MME Reading Standard Analysis
Spring 2009
32
33
What information does the detail
graph provide?
• Identifies the state average number of
points on the continuum of points
available in the identified standard
• Identifies how our students performed on
this standard in comparison to the state
average.
34
Student Data
35
What information does the
student data provide?
• Identifies the students who scored in the
same point range on a particular standard
For each student the following is identified
• Scaled score
• Proficiency level for content area
• Maximum points in the standard
• Points scored
• Percent Correct
36
What information does the
tabular results provide?
• Identifies the score distribution for this
standard
• Identifies the number of students who scored
within each score distribution
• Identifies the percent of students who scored
within each score distribution
38
Data Narrative Statements…
• Are objective statements of FACT about the
school data
• Represent student achievement, demographics,
school programs, school processes, and
stakeholder perceptions
• Communicate a SINGLE idea
• Are clear and concise – written in sentences or
phrases
• Describe the data; they do not evaluate the data!
• MUST stand alone; they do not require the data
source to accompany them in order to be
understandable
39
How might we use the Tabular
results to write data narrative
statements about our students?
84% of our
students
scored less
than half
the points
possible in
this
standard
70
Students
scored
less than
half the
points
possible
in this
standard
16 % of our
students
scored
equal to or
more than
half the
points
possible in
this
standard
13
students
scored
equal to or
more than
half the
points
possible
in this
standard
41
Standard Analysis Tabular Results
School – Data Dig
MME Standard Analysis 2008-09
• Complete data dig
• Access Data 4SS inquiry tool
• Focus on Reading and Math
• Templates
• MME Main Graph
• Tabular Results
• Reading Standard Analysis
• MME Math Standard Analysis
• Data Narrative Statements
43
Navigation Process
•
•
•
•
Login
Select Inquiries – MME Standard Analysis
Select Inquiry Settings - tab
Select ISD
–
–
–
–
–
Select District
Select School
Select Grade Level
Select Subject
Select School Year(s)
• View Results
44
Where do we go next?
84% of our
students
scored less
than half
the points
possible in
this
standard
70
Students
scored
less than
half the
points
possible
in this
standard
16 % of our
students
scored
equal to or
more than
half the
points
possible in
this
standard
13
students
scored
equal to or
more than
half the
points
possible
in this
standard
46
Use of High School
Content Expectation Document
• Find the Standard indicated on the MME
Standard Analysis Blueprint
• Determine the Content Expectations
contained within this standard
• Which Content Expectations are identified
as Pre-MME?
47
Expectations identified as Pre-MME by Standard
48
Expectations not Identified as Pre-MME by Standard
49
Now that we have identified the
Content Expectations within the
Standard what is our next
question?
• What concepts and skills do students need
to know and be able to do to be successful
on these content expectations?
50
• Where are these Content Expectations taught?
– What courses?
– What grades?
• How are these Content Expectations taught?
– Do we use common instructional practices?
– Are our practices effective?
• How are we going to assess these Content
Expectations?
– Do we use common assessments linked to these
Content Expectations?
– Do we analyze and use the results of our common
assessments?
51
• How do we know that students have
learned these Content Expectations?
• What evidence will we collect?
• What are we going to do for the students
that did not learn?
• What are we going to do for the students
who have learned these expectations?
52
Data Assessment Inventory
QUESTIONS?