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Page 1: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

International Center for International Center for Leadership in EducationLeadership in Education

Data - driven Data - driven Decisions for Decisions for

TeachingTeaching

Page 2: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

International Center for International Center for Leadership in EducationLeadership in Education

Richard D. Jones, Ph.DRichard D. Jones, Ph.DSenior ConsultantSenior Consultant

Page 3: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Add these numbers

???41005000

1000

100

1000

1000

100040

20

30

10

Page 4: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Add these numbers

100040

100020

100030

100010

4100

Page 5: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

PowerPoint Slides

http://www.natpd.comor

http://dickjones.us

Page 6: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

What are Data-driven Decisions?

It is more than looking at student test scores?

Page 7: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

What are Data-driven Decisions?

It is objective criteria for determining what you teach?

Page 8: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Data is Powerful

Assess the current and future needs of students

Decide what to change Determine if goals are being met Engage in continuous school

improvement Identify root causes of problems Promote accountability

Page 9: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Types of Data_Student Learning

–School»Class

_Demographics

_School ProcessesCurriculum and Instruction

Core LearningStretch LearningStudent EngagementPersonel Development

Page 10: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Types of Data ExampleType of Data Literacy

Student Learning Performance on •State Test

Demographics

Processes

Curriculum and Instruction

Page 11: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Types of Data ExampleType of Data Literacy

Student Learning Performance on •State Test•Local AssessmentSurveys on interestQuantity of ReadingOberservation of Reading Levels

Demographics Incoming Student Reading Levels

Processes Reading Levels of •Textbooks•Teaching Materials•Success of Reading Practices

Curriculum and Instruction

Level of Reading Comprehension on •State Test•Real World•Postsecondary Learning

Page 12: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Lexile FrameworkLexile Framework Independent measureIndependent measure

200 to 2000200 to 2000

Books, Tests, StudentsBooks, Tests, Students

www.lexile.comwww.lexile.com

Page 13: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Lexile FrameworkLexile Framework

Semantic DifficultySemantic Difficulty Syntactic ComplexitySyntactic Complexity

Page 14: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Lexile Literature1500 - On Ancient Medicine1400 - The Scarlet Letter1300 - Brown vs. Board of Ed.1200 - War and Peace1100 - Pride and Prejudice1000 - Black Beauty 900 - Tom Swift in the Land of Wonders 800 - The Adventures of Pinocchio 700 - Bunnicula: A Rabbit Tale of Mystery 600 - A Baby Sister for Frances 500 - The Magic School Bus Inside the Earth 400 - Frog and Toad are Friends 300 - Clifford’s Manners

Page 15: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Reading Requirements ResearchReading Requirements Research

Analyze actual reading Analyze actual reading materialsmaterials

16 Clusters and sub 16 Clusters and sub clustersclusters

3 Levels of Workers3 Levels of Workers

Page 16: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Reading Requirements ResearchReading Requirements Research

Law/Public Safety 1420 - 1740Ag/Natural Resources 1270 - 1510Information Tech 1290 - 1460Transportation/Distr./Log. 1170 - 1350Architecture/Construction 1210 - 1340 Business and Admin. 1230 - 1330Manufacturing 1200 - 1310Health Science 1260 - 1300Retail/Wholesale 1170 - 1270Scientific Research/Engr. 1190 - 1240Human Services 1050 - 1200Arts/AV Tech/Comm. 1110 - 1190

25% 75%

Page 17: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Culinary Arts Academy

Page 18: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Student Achievement

Page 19: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Evaluate lesson plans/curriculum for standards alignment

Revise plans/curriculum to ensure standards alignment

Identify at-risk students Develop academic intervention plan

Using Student Performance Data

Using Student Performance Data

Page 20: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Recognize need for professional development to support standards and

strengthen instructional strategies Identify students meeting or

exceeding standards

Using Student Performance Data

Using Student Performance Data

Page 21: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Types of Data_Student Learning

–School»Class

_Demographics

_School ProcessesCurriculum and Instruction

Page 22: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

22

Issues around Curriculum

★Overcrowded Curriculum★Decisions behind the

Classroom Door★What is on the test?★Schools Out of Alignment★Teaching vs. Learning

Page 23: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching
Page 24: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Standards

Page 25: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

26

How do you determine what you teach?

_What You Know

_Past Practice

_State Standards

_TextbookTest

Page 26: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

27

Data Driven Decision?

_Priority Standards

_Levels of Students

_Student Need for Rigor and Relevance–Test–Education Beyond

Interest

Page 27: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Needed Time

Standards Overload

15,46515,465 HoursHours

Available Time

9,0429,042 HoursHoursMCREL

Page 28: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Teachers struggling to teach an overloaded curriculum!

Page 29: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

International Center for International Center for Leadership in Education, Inc.Leadership in Education, Inc.

Curriculum MatrixCurriculum Matrix

Page 30: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Curriculum Survey

?? What should be priority??Language Arts, Math, ScienceOver 21,000 surveys (12,000 public, 9,000

staffDistricts across U.SSelect 35 priority content topicsSub-group analysis

Page 31: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Curriculum Survey findings

Top Ranked - skill and content based Low Ranked - more strategyEducators and Community similar Basic skills low ranked by subject area

specialistsTop Ranked English could be

responsibility of all

Page 32: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

ICLE Curriculum SurveyLanguage Arts - Top 10 Topics

_Apply in writing the rules of grammar, punctuation and spelling_Gather, analyze and summarize information from a variety of sources_Give oral directions that are clear and understood _Follow oral directions_Identify and select pertinent information while reading_Follow written directions carefully and accurately_Understand rules of grammar, usage, punctuation, and spelling_Develop processes for understanding and remembering_Prepare and deliver individual speeches 2.Know how to decipher unfamiliar words

Page 33: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

_Perform operations with numbers include, decimals, ratios, percents and fractions

_Understand characteristics of parallel, perpendicular, and intersecting lines

_Understand basic algebraic properties_Understand characteristics of angles_Understand best procedures for statistical data collection, organization and display

_Understand basic geometry ( point, line, plane)_Understand and use variables in expressions_Use correct order for performing algebraic expressions_Compute the distance between two points2.Understand properties of circles

ICLE Curriculum SurveyMathematics - Top 10 Topics

Page 34: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

_ Understand how and why rotation and revolution of earth affect day, seasons and weather

_ Understand systems of human body_ Understand nutrition_ Know the metric system and conversion_ Make observation of the local environment using senses and

instruments_ Understand technology changes environment_ Know processes in water cycle_ Understand reproduction of living things from cells to species_ Understand cells and functions2.Understand human impact on environment and ways to improve

ICLE Curriculum SurveyScience - Top 10 Topics

Page 35: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

MI – ELA – State Tests

Exam Benchmarks High Med Low

Early55 no no no

Grade 455 25 10 20

Grade 755 24 10 21

Grade 1155 23 9 23

Page 36: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Curriculum Matrix Kit

Page 37: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Curriculum MatrixState Standard

Related Essential Skills and priority

Priority on State Test

Overall Priority

Page 38: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

39

How do you use the Curriculum Matrix?

_Determine priority standards

_Have objective data on community expectations

_Simple reference as to what is testedAgenda for conversation with academic teachers

Page 39: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

International Center for International Center for Leadership in Education, Inc.Leadership in Education, Inc.

Career and Technical Career and Technical EducationEducation

Page 40: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

CTE Kit components

DataPriority standardsIntegration by Cluster

Page 41: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Agriculture and Natural Resources • Ag Production• Ag Services (Ag Business)• Ag Mechanics• Natural ResourcesArchitecture and Construction • Architecture• Surveying and Drafting• ConstructionArts, Audiovisual Technology and

Communications • Visual Arts and Design• Performing Arts• CommunicationsBusiness and Administration • Accounting• Human Resources• Marketing and Management• Entrepreneurship

Education and Training • Education/ TrainingFinance• Banking• Insurance• Securities and CommoditiesGovernment and Public Admin.• Administrative• Service ProviderHealth Science • Professional Services• Health Administration• Home Health Care Services• HospitalsHospitality and Tourism• Lodging• Food• Travel

Career Clusters

Page 42: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Human Services • Professional Services• Child Care• Social ServicesInformation Technology • Computer and Data Processing• Network Systems• Computer Systems• Product and Service Dev.Law and Public Safety • Legal Occupations• Protective Service Occupations• Armed Forces OccupationsManufacturing • Production• Design• Maintenance

Retail/Wholesale Sales and Service • Retail• Wholesale• ServiceScientific Research/ Engineering• EngineeringTransportation, Distribution and

Logistics • Transportation • Distribution• Logistics

Career Clusters, continued

Page 43: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

CTE MatrixState StandardRelated Essential

Skills and priorityPriority on State Test

AppropriatenessFor Integration

Page 44: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Using CTE Matrix

Curricular Mapping Prioritize InstructionIntegrated (Interdisciplinary

Instruction)PR--Validate CTE ProgramOptions for StudentsAccountability--CTE Program

Page 45: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

International Center for International Center for Leadership in Education, Inc.Leadership in Education, Inc.

ARTSARTS

Page 46: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

ARTS MatrixState Standard

Related Essential Skills and priority

Priority on State Test

AppropriatenessFor Integration

Page 47: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

How would you use this data?

Page 48: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Options

Place more emphasis on priority

Theme-based Units taught by multiple teachers

Including other Standards in your instruction

Page 49: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Curriculum ResourcesGroup Resource

Administrators NCLB Kit

Academic TeachersInstructional Leaders

Aligning Standards Kit

Sepcialized Teachers CTE KitArts KitSpecial Education Kits

Page 50: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Curriculum

Assessmentand

Page 51: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

RigorRelevanceAll students

Page 52: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Rigor/Relevance Rigor/Relevance FrameworkFramework

Page 53: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

1.1. AwarenessAwareness2.2. Comprehension Comprehension 3.3. ApplicationApplication4.4. AnalysisAnalysis5.5. Synthesis Synthesis 6.6. EvaluationEvaluation

Knowledge TaxonomyKnowledge Taxonomy

Page 54: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Application Application ModelModel

Page 55: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Application Model

1 Knowledge of one discipline_ Application within discipline_ Application across disciplines4 Application to real-world

predictable situations5 Application to real-world

unpredictable situations

Page 56: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

1 2 3 4 5

ApplicationApplication

KnowledgeKnowledge

1

2

3

4

5

6

Rigor/Relevance FrameworkRigor/Relevance Framework

Page 57: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

1

2

3

4

5

6

1 2 3 4 5

Rigor/Relevance FrameworkRigor/Relevance Framework

Page 58: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

1

2

3

4

5

6

1 2 3 4 5

A

Rigor/Relevance FrameworkRigor/Relevance Framework

Page 59: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

1

2

3

4

5

6

1 2 3 4 5

A B

Rigor/Relevance FrameworkRigor/Relevance Framework

Page 60: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

1

2

3

4

5

6

1 2 3 4 5

A B

C

Rigor/Relevance FrameworkRigor/Relevance Framework

Page 61: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

1

2

3

4

5

6

1 2 3 4 5

A B

DC

Rigor/Relevance FrameworkRigor/Relevance Framework

Page 62: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

KNOWLEDGE

A P P L I C A T I O N

AA BB

DDCC

Rigor/Relevance FrameworkRigor/Relevance Framework

Page 63: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Rigor/ RelevanceHandbook

Page 64: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

KNOWLEDGE

A P P L I C A T I O N

AA BB

DDCC

Rigor/Relevance FrameworkRigor/Relevance Framework

• Calculate percentages of advertising in a newspaper.

• Tour the school building and identify examples of parallel and perpendicular lines, planes, and angles.

• Determine the median and mode of real data displayed in a histogram

• Organize and display collected data, using appropriate tables, charts, or graphs.

Page 65: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

KNOWLEDGE

A P P L I C A T I O N

AA BB

DDCC

Rigor/Relevance FrameworkRigor/Relevance Framework

• Calculate percentages of advertising in a newspaper.

• Tour the school building and identify examples of parallel and perpendicular lines, planes, and angles.

• Determine the median and mode of real data displayed in a histogram

• Organize and display collected data, using appropriate tables, charts, or graphs.

Page 66: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

KNOWLEDGE

A P P L I C A T I O N

AA BB

DDCC

Rigor/Relevance FrameworkRigor/Relevance Framework

• Express probabilities as fractions, percents, or decimals.

• Classify triangles according to angle size and/or length of sides.

• Calculate volume of simple three- dimensional shapes.

• Given the coordinates of a quadrilateral, plot the quadrilateral on a grid.

Page 67: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

KNOWLEDGE

A P P L I C A T I O N

AA BB

DDCC

Rigor/Relevance FrameworkRigor/Relevance Framework

• Express probabilities as fractions, percents, or decimals.

• Classify triangles according to angle size and/or length of sides.

• Calculate volume of simple three- dimensional shapes.

• Given the coordinates of a quadrilateral, plot the quadrilateral on a grid.

Page 68: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

KNOWLEDGE

A P P L I C A T I O N

AA BB

DDCC

Rigor/Relevance FrameworkRigor/Relevance Framework

• Analyze the graphs of the perimeters and areas of squares having different-length sides.

• Determine the largest rectangular area for a fixed perimeter.

• Identify coordinates for ordered pairs that satisfy an algebraic relation or function.

• Determine and justify the similarity or congruence for two geometric shapes.

Page 69: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

KNOWLEDGE

A P P L I C A T I O N

AA BB

DDCC

Rigor/Relevance FrameworkRigor/Relevance Framework• Analyze the graphs of the perimeters

and areas of squares having different-length sides.

• Determine the largest rectangular area for a fixed perimeter.

• Identify coordinates for ordered pairs that satisfy an algebraic relation or function.

• Determine and justify the similarity or congruence for two geometric shapes.

Page 70: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

KNOWLEDGE

A P P L I C A T I O N

AA BB

DDCC

Rigor/Relevance FrameworkRigor/Relevance Framework• Obtain historical data about local

weather to predict the chance of snow, rain, or sun during year.

• Test consumer products and illustrate the data graphically.

• Plan a large school event and calculate resources (food, decorations, etc.) you need to organize and hold this event.

• Make a scale drawing of the classroom on grid paper, each group using a different scale.

Page 71: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

KNOWLEDGE

A P P L I C A T I O N

AA BB

DDCC

Rigor/Relevance FrameworkRigor/Relevance Framework

• Obtain historical data about local weather to predict the chance of snow, rain, or sun during year.

• Test consumer products and illustrate the data graphically.

• Plan a large school event and calculate resources (food, decorations, etc.) you need to organize and hold this event.

• Make a scale drawing of the classroom on grid paper, each group using a different scale.

Page 72: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

RIGOR

RELEVANCE

AA BB

DDCC

Rigor/Relevance FrameworkRigor/Relevance Framework

TeacherTeacherWorkWork

Teacher/Student RolesTeacher/Student Roles

StudentStudentThinkThink

StudentStudentThink & WorkThink & Work

StudentStudentWorkWork

High

HighLow

Low

Page 73: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Rigor/Relevance Framework

1. Recall Knowledge2. Comprehension3. Application4. Analysis5. Synthesis6. Evaluation

1. Knowledge of one discipline

2. Application within discipline

3. Application across disciplines

4. Application to real world predictable situations

5. Application to real world unpredictable situations

Knowledge Application

Page 74: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Rigorous and Rigorous and Relevant Relevant

AssessmentAssessment

Page 75: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Low

High

Low High

TraditionalTests

Performance

Rigor/Relevance FrameworkRigor/Relevance Framework

Page 76: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

KNOWLEDGE

A P P L I C A T I O N

•• Extended Extended ResponseResponse

•• Product Product PerformancePerformance

Primary AssessmentsPrimary AssessmentsRigor/Relevance FrameworkRigor/Relevance Framework

•• PortfolioPortfolio•• Product Product

PerformancePerformance•• InterviewInterview•• Self ReflectionSelf Reflection

•• Process Process •• PerformancePerformance•• Product Product

PerformancePerformance

•• Multiple ChoiceMultiple Choice•• Constructed Constructed

ResponseResponse

Page 77: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

KNOWLEDGE

A P P L I C A T I O N

AA BB

DDCC

Rigor/Relevance FrameworkRigor/Relevance Framework

Page 78: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

NYS Math Question

A

Page 79: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

NYS Math A QuestionJune 2002C

Page 80: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

NYS Math A QuestionJune 2003D

Page 81: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Sample QuestionB January

2005

Page 82: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

R/R and AssessmentDetermine the level of Rigor and Relevance on

state tests.

Develop your tests to parallel state tests when preparing for them.

Use performance assessment when you want Quadrant D achievement

Keep level of assessment consistent with expectation for performance.

Page 83: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Types of Data_Student Learning

–School»Class

_Demographics

_School ProcessesCurriculum and Instruction

Page 84: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

Resources for Data Driven Curriculum

Decision Resource

Which Standards? Curriculum Matrix Kits

Which Standards to Integrate?

CTE Resource KitArts Kit

How to Teach for Relevance? R/R HandbookStrategies Gold Seal Lessons

How do we address adolescent literacy?

Leading w/ Reading KitReading in the Content Area

Page 85: International Center for Leadership in Education Data - driven Decisions for Teaching Data - driven Decisions for Teaching

PowerPoint Slides

http://www.natpd.comor

http://dickjones.us