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Title: Inquiryfocused Practice: Making Decisions about Learning in the Classroom


1
Inquiry-focused Practice Making Decisions about
Learning in the Classroom
Margaret Heritage
CCSSO Leadership Conference September 9, 2008
Milwaukee, WI
2
Overview
  • Inquiry-focused Practice
  • Data for Inquiry
  • Framework for Inquiry-focused Practice
  • Knowledge and Skills Teachers Need

3
The Question.
  • Cheshire , Alice began rather timidly, would
    you tell me please, which way I ought to go from
    here?
  • That all depends a good deal on where you want
    to get to, said the Cat.
  • Lewis Carroll

4
Inquiry-focused Practice
  • Where are my students now?
  • Where are my students going?
  • How will they get there?
  • How will I keep them on track?
  • How will I know when they have arrived?
  • How can I improve my teaching?

5
Where are my students going?
Curriculum, Instruction, and Feedback
How can I improve my teaching?
How will they get there?
Data
Analysis
Action
Student Learning
How will I know when they have arrived?
How will I keep them on track?
Interpretation
Decision
6
One Size Does Not Fit All
7
Assessment of Learning (AoL)
Assessment for Learning (AfL)
Purpose
What students have learned at a given point
Where students are in their learning
Judgment
Compare performance to an agreed standard or goal
What to do to move learning forward
Action
Adjustments to curriculum, instruction,
programs.Monitoring. Reporting. Inform PD needs
Adjustments to ongoing instruction
8
Assessment Cycle (Wiliam, 2006)
Focus
Length
Type
Short Cycle
Within a single lesson
Five seconds to one hour
Between lessons
Medium Cycle
One day to two weeks
Long Cycle
Between instructional units
Two weeks to one year or more
9
Data Sources
10
  • Different levels of granularity for different
    purposes

11
Data Sources
12
Decision Model
  • SIMPLE DATA
  • Illuminate one aspect
  • Come from one perspective
  • Come from one point in time
  • SIMPLE
  • TO COMPLEX
  • DATA
  • Time frame
  • Type of data
  • Level of detail
  • SIMPLE ANALYSIS AND DECISION MAKING
  • TO COMPLEX ANALYSIS AND DECISION MAKING
  • Type of analysis
  • Frequency
  • Reliance on knowledge
  • Extent of participation
  • COMPLEX DATA
  • Composed of two or more
  • interwoven parts
  • More multidimensional
  • Adapted from Cutting through the "data driven"
    mantra Different conceptions of data-driven
    decision making. Ikemoto Marsh, 2007

13
Types of Data
Quarterly/Monthly/End of Unit Assessments
Daily, WeeklyAssessments
Achievement and Other Data
Annual State Tests
Level of DataAnalysis
Simple
AggregatedDescriptiveDisaggregatedDescriptive
AggregatedDescriptiveDisaggregatedDescriptive
Annual State Tests Strengths/weaknesses
in curriculum and instruction Differences among
groups Strengths/weaknesses in individual and
groups learning
Quarterly/Monthly Assessments Strengths/weaknesse
s in curriculum and instruction Differences
among groups Strengths/weaknesses in individual
and groups learning Progress monitoring for
individuals
Achievement and Other Data Factors contributing
to results
Daily/Weekly Reveal reasons for individual
weaknesses in learning Identify individual
misconceptions Identify the gap between current
learning status and desired short-term learning
goals
Distribution
Distribution
Comparative Analysis
Classroom-wide Patterns
Multiple Probes During Instruction/Learning
Longitudinal Analysis
Correlation Analysis
Classroom-wide Patterns/Trends
Students Current Level of Functioning
Complex

14
Knowledge
  • Validity
  • What data can be used for what purpose/decision
  • Alignment
  • Reliability
  • Interpretation of scores
  • Interpretation of single test score
  • Item analysis
  • Triangulation

15
Skills
  • Asking questions
  • Analysis
  • Interpretation
  • Action to improve learning

16
Professional Inquiry
  • The more teachers developed methods of
    professional inquiry, articulated ways of
    knowing, and determined standards for knowledge
    in practice, the more teachers would have
    interpretive power, which could contribute to
    improving both their own teaching and theirs and
    others learning.
  • (Ball Cohen, 199916)

17
The Answer.
  • Cheshire , Alice began rather timidly, would
    you tell me please, which way I ought to go from
    here?
  • That all depends on what your data tell you?
    said the Cat.
  • Lewis Carroll

18
Margaret Heritage mheritag_at_ucla.edu
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