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Probing for Improvement

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Baltimore. November 10, 2003. On Enacted. Curriculum. The teacher survey tool... Phase 3 inferences What additional data needed. Organizing Data-Driven Dialogue ... – PowerPoint PPT presentation

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Title: Probing for Improvement


1
How You Can Use the SEC
SEC / SCASS Planning Meeting Baltimore November
10, 2003
Diana Nunnaley Diana_Nunnaley_at_TERC.edu
2
The teacher survey tool
  • Collects data on what content is taught and how
    it is taught.
  • Produces reports indicating the degree of
    alignment between the taught (enacted) curriculum
    and state assessments or standards.
  • Collects data on teacher beliefs, readiness to
    teach the content and readiness to instruct
    special groups of students.
  • Provides a rich source of information to support
    teachers analysis of student learning challenges.

3
The SEC can help your schools
  • Align curriculum, instruction, and assessment
    including vertical alignment
  • Improve instruction within and across grade
    levels,
  • Determine professional development needs
  • Focus teacher planning and development on
    instructional practice and its effects on student
    performance
  • Focus coaching and mentoring activity around
    content and practice

4
The SEC can
  • Help teachers monitor changes in practice as a
    result of implementing new curricula.
  • Help teachers and leaders determine areas of need
    when planning for professional development.
  • Help teachers see areas for deepening content
    expertise and knowledge of how students learn
    that content.
  • Help teachers identify gaps/redundancies in
    curriculum weak materials to support instruction

5
The SEC has helped teacher teams
  • Identify weak or missing curriculum content,
  • Identify redundancies in content coverage with no
    increase in cognitive demand from level to level,
  • Highlight where teacher beliefs were affecting
    teacher expectations,
  • Focus staff professional development,
  • Initiate reflective teacher talk about standards,
    content, and instructional practices.

6
Simulation Activity Building the Container
  • Group by science, math, English/LA groups.
  • Read district background. Look at achievement
    data. (Use your own student learning data. The
    three slides that follow are only examples of
    student learning data.)
  • Have a phase 1 dialogue - charting their
    expectations. Given their own experiences, what
    would they anticipate for the big learning
    challenges and corresponding teaching challenges?
  • Groups report.
  • Have a Phase 2 dialogue. Observations, Questions.
  • Phase 3 inferences What additional data needed.

7
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8
Organizing Data-Driven Dialogue
Phase 1 Predict
Phase 3 Infer/Question
Phase 2 Observe
Adapted from Laura Lipton and Bruce Wellman
9
English Language Arts
10
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11
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12
Data-Driven Dialogue Achievement Data

Phase 1 Predict
  • What are some assumptions we have about how our
    students will perform? What are our strengths?
    Our weaknesses?
  • What predictions would we make about what groups
    arent improving?

13
Data-Driven Dialogue Achievement Data

Phase 2 Observe
  • What pops out? What is surprising?
  • What are some patterns or trends that are
    emerging?
  • Describe the gaps.
  • What questions do you have about the data?

14
Data-Driven Dialogue Achievement Data

Phase 3 Inferences
  • What are some tentative inferences you are
    making?
  • What new questions do you have?
  • What additional data do you need?

15
SEC Activity How Well Is Our Instruction Aligned
to Standards? State Assessments? Curriculum?
  • Have a phase 1 dialogue - charting expectations.
    Where do we anticipate having the closest
    alignment of enacted curriculum to what is
    assessed? Topics? Cognitive Demand?
  • Given the initiatives in the district, changes in
    teaching staff, new curricula, what would they
    expect instructional alignment
  • Groups report.
  • Have a Phase 2 dialogue. Observations, Questions.
  • Phase 3 inferences What additional data needed.

16
Organizing Data-Driven Dialogue
Adapted from Laura Lipton and Bruce Wellman
17
Data-Driven Dialogue Alignment

Phase 1 Predict
  • What are some assumptions we have about the
    degree of alignment between what is being taught
    in classrooms and what is being assessed?
  • What predictions would we make about the kinds of
    instructional activities the majority of our
    faculty are using?

18
Data Driven Dialogue Alignment

Phase 2 Observe
  • What pops out? What is surprising?
  • Describe the degree of alignment between the
    taught curriculum and the assessed? In what areas
    is there a high degree of alignment for both
    content and cognitive demand? Where are the gaps?

19
Data-Driven Dialogue Alignment

Phase 3 Inferences
  • What are some tentative inferences you are
    making?
  • What new questions do you have?
  • What additional data do you need?

20
English, Language Arts, Reading
  • Phase 1-Predictions
  • Phase 2-Observations
  • Phase 3-Inferences

21
Science
  • Phase 1-Predictions
  • Phase 2-Observations
  • Phase 3-Inferences

22
Math
  • Phase 1-Predictions
  • Phase 2-Observations
  • Phase 3-Inferences

23
ELAR Alignment Map
24
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25
Math
26
Science
Science Alignment Map
27
SEC Activity What kind of instructional
practices do we use? What are our beliefs?
  • Have a phase 1 dialogue - charting expectations
  • Given the initiatives in the district, changes in
    teaching staff, new curricula, what are the most
    prevalent instructional practices we expect to
    see in our data.
  • Groups report.
  • Have a Phase 2 dialogue. Observations, Questions.
    (Charts F, G, H, I, O, Q, R).
  • Phase 3 inferences What additional data needed.

28
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29
Science F1
Chart F-1 Instructional Activities in Science By
Grade Level
30
Chart F-1 Instructional Activities in Math By
Grade Level
31
Current SEC Disaggregations
Which of these charts might be useful comparisons?
  • Grade Level
  • Level of Achievement
  • Amount of Professional Development
  • Percentage of minority students
  • By class size
  • By percentage of LEP students
  • By percentage of Female students

32
DT 2.4
This chart may assist you in triangulating
several sources of data.
33
Your own category
Your own category
Use this chart to brainstorm possible reasons for
your problem.
34
Team Planning Questions
  • What points, thoughts, impressions from this data
    investigation provide insights into our planning
    process?
  • What are our goals / needs?
  • What data will we need?
  • Sources / availability of data?
  • Next steps
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