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Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

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Page 1: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Data Analysis: Literacy

NC Content Literacy Continuum

Fall SymposiumHigh Point University

October 15-16, 2014

Page 2: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Objectives

• Understand the components of a comprehensive assessment system for literacy at the secondary level

• Identify and inventory the data you currently have available to guide decision making

• Learn ways to analyze student data to ensure responsive instruction

Page 3: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

"Assessment ... should be the servant, not the master, of the curriculum."

Department of Education and Science in the UK, 1988

Page 4: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Assessment

Measurement of student growth; assessment tool choice is dependent on the purpose and use of measurement results- RtI Action Network

Page 5: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Assessment

Prior achievement is a predictor of outcomes – effect size 0.67

“our job as teachers is to mess this up, by planning ways in which to accelerate the growth of those that start behind….so before the lesson is planned, the teacher must know what students

already know and can do”

Hattie (2012). Visible Learning for Teachers

Page 6: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Se =

0.40.15

0.0

-0.2

Teacher

Developmental

Reverse

1.2

Neg

ativ

e

Low H

igh

Medium

Feedback d = 0.90

0.7

1.0

Formative evaluation

Teaching

DesiredEffects

Page 7: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Se =

0.40.15

0.0

-0.2

Teacher

Developmental

Reverse

1.2

Neg

ativ

e

Low H

igh

Medium

Feedback d = 0.73

0.7

1.0

Feedback

Teaching

DesiredEffects

Page 8: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Goals for Adolescent Literacy Instruction• Increase overall levels of reading proficiency

• Help students who have achieved grade-level reading by the end of third grade continue to meet increasingly difficult standards in middle and high school

• Assist students who are reading below grade-level standards acquire skills necessary to meet those standards

Page 9: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Purposes of Assessment

• Instructional program effectiveness

• Ongoing monitoring of student progress

• Identify students needing additional instruction and intervention

Page 10: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Comprehensive Assessment System• a 21st Century assessment system must include

both formative and summative assessment

• includes classroom assessments, interim/benchmark assessments, and statewide assessments that are aligned to state standards.

http://www.ncpublicschools.org/accountability

Page 11: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Universal Screening

Diagnostic Assessments/Proce

sses

Progress-Monitoring of Interventions

Progress-Monitoring of Core Instruction

Outcome Assessments

Interim Assessments

Comprehensive Balanced Assessment System

Page 12: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

What are we measuring?

It is as easy as ABC…

A- Attendance

B- Behavior

C- Course /Classroom Performance

Early Warning Indicators

Page 13: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Types of Assessments

Type Characteristics Purpose

Outcome Assessments • After Instruction• Measures students

against standards/expectations

• One x per year/course• Evaluate student

performance and program effectiveness

Academic Examples•EOG Testing•EOC Testing

•NC Final Exams

Behavior Examples•Office Discipline Referrals (ODR)- End

of Year/Course•Attendance Reports (End of year)

•Retention reports

Page 14: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Outcome Assessments- What do you do now?

Page 15: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Types of Assessments

Type Characteristics Purpose

Interim Assessments • Administered throughout the year after sections of instruction

• Administered 3-4 times per year/course

• Designed to predict performance on outcome assessments

Academic Examples: District created or purchased benchmark assessments

Page 16: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Types of Assessment

Type Characteristics Purpose

Progress Monitoring of Core Instruction

• Tied to content standards or building expectations

• To help teachers know if students have learned concepts taught

• To adjust instruction, reteach concepts or provide additional practice

Academic Examples: Common Formative Assessments; Informal

Formative Assessments; Classroom tests

Behavior Examples: ODR’s per month; suspensions (OSS/ISS); attendance

rates;

Page 17: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Interim and Formative Assessment: What do you do now?

Page 18: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Types of Assessment

Type Characteristics Purpose

Universal Screening • All students 2-3 x per year• Critical skills typically

measured by curriculum-based measures of accuracy and fluency

• Standardized administration

• Quick administration• Predictive of larger

outcomes

• Designed to identify students at risk

• Evaluate program effectiveness and growth throughout a school year

Academic Examples: K-8 typically Curriculum-Based Measures in reading and

math; 9-12 historical data/ongoing monitoring of risk factors for drop-out (may also include

8th grade CBM)

Behavior Examples: Office Discipline Referral (ODR) data analyzed at preset

intervals for behavior type, student, location, time, referral source; Possible formal screening for internalizing behaviors

Page 19: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Early Warning System

• Classroom/Course Performance:

– Elementary: off grade level in reading or math

– An inability to read on grade level by 3rd grade

– Failure in English or Math in 6th-9th grade

– GPA of less that 2.0

– 2 or more 9th grade course failures

– Not on time for promotion to 10th grade

Page 20: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Middle School Indicators

Academic Performance Indicators

• Demonstrates successful credit earning behavior

• Successfully passes math and ELA• GPA of at or above 2.0• Course of study that places student on

track for accelerated learning programs and/or college and career ready courses in HS

• Scores proficient or highly proficient on EOG/ EOC exams*

*On time to graduate College and Career Ready

Page 21: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

High School IndicatorsAcademic Performance Indicators

• Earns sufficient credits for on-time progression and graduation

• GPA at or above 2.0• Participates in accelerated learning

programs and/or college- and career-ready courses

• Successfully completes Algebra I by 9th grade

• Scores proficient/ highly proficient on EOC

• Achieves College- or Career-Ready score on ACT*

*On time to graduate College and Career Ready

Page 22: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

At Risk Report

http://www.ncpublicschools.org/dropout/warning/

Page 23: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Moving from Reaction to Prevention• Schools do not have to be surprised every year by the fact

that some students require support beyond initial instruction to achieve grade-level goals and expectations

– The best predictor of future failure is past failure and disengagement

– Disengaged students are likely to be disengaged at the next grade/school level in the absence of prevention and intervention support

Page 24: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

• Students with a history of academic underachievement or failure are likely to continue to fail without prevention and intervention support

• Addressing academic and engagement issues earlier rather than later is more successful and more cost effective

• http://www.rtinetwork.org/learn/rti-in-secondary-schools/early-warning-systems-moving-from-reaction-to-prevention

Moving from Reaction to Prevention

Page 25: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Universal Screening- What do you do now?

Page 26: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Types of Assessment

Type Characteristics Purpose

Diagnostic Assessments/Processe

s

• Used for individual students for problem analysis (why is the problem occurring)

• Used to plan effective interventions that target specific skills

• Used to determine instructional focus of intervention

Academic Examples: Formal Diagnostic assessments (based on

essential components of reading and/or math); Informal surveys; error analysis

of student work; student interview

Behavior Examples: Functional Behavioral Assessment (FBA)- including interviews and structured observations; attendance patterns; anecdotal teacher

reporting

Page 27: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Assessments- DiagnosticWhat do you do now?

Page 28: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Types of Assessment

Type Characteristics Purpose

Progress-Monitoring of Interventions

• Brief• Repeatable• Sensitive• Alternate equivalent

forms• Reliable and Valid• Measure Accuracy and

Fluency

• To ensure effectiveness of interventions

• Measure growth over time

• Inform instructional decisions

• Measure student response

Academic Examples: Curriculum-Based Measures; Computer Adaptive Testing (if standard metric is available)

Behavior Examples: Specific to behavior intervention; ODR data and

individual student monitoring data (point sheets, repeated structured

observations, reinforcement earned, etc.)

Page 29: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Curriculum Based Measurement (CBM)• Standardized

• Sensitive to improvement over time

• Multiple equivalent versions administered throughout the year

• Content reflects performance desired at end of the year

Page 30: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Progress MonitoringWhat do you do now?

Page 31: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

So now we have all of this data,

what do we do with it?

Page 32: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Now What?

• Review the data sources you have collected.

• Do you notice any voids or redundancies?

• Can you think of any barriers to implementation of a comprehensive assessment plan for literacy?

• What are your next steps?

Page 33: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Key questions

Page 34: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Key questions

Page 35: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Key questions

Page 36: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Reading Comprehension Screening –All Students (Historical Data?)

Assess Oral Reading Fluency

Students Below Grade Level

Students At Grade Level- Vocab & Comprehension in

content classroom

Weak Phonics Skills- Vocab/Comp

in content and intensive reading intervention in all

components

Students at or above fluency benchmark-

Vocab/Comp in content classes and possibly

vocab/comp intervention

Students below fluency benchmark

Monitor P

rogre

ss for S

tudent R

esponse

Assess Phonics Skills

Intact phonics- Vocab/Comp in content

classes, possibly vocab/comprehension

intervention, and fluency intervention

Page 37: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Next Steps

• Do we have the information we need to make decisions that address the literacy needs of the students in the building?

• How can you efficiently manage the multiple data sources?

• Do your team structures support ongoing analysis of student literacy data?

Page 38: Data Analysis: Literacy NC Content Literacy Continuum Fall Symposium High Point University October 15-16, 2014

Questions?

Lynne Loeser- NC DPI Specific Learning Disability Consultant

[email protected]

Amy Miller- NC DPI Regional MTSS Consultant

[email protected]