SlideShare a Scribd company logo
The data is coming, the data is coming!



A Self Help Guide to planning an effective Assessment Meeting:
Early Release Days January 31st, February 13th, and March 16th
Mapping Team Scenarios
In most situations your mapping team will be in
one of the following three modes:
1. Developing common assessment(s) from
   scratch.
2. Modifying an existing common assessment for
   alignment with Key Outcomes.
3. Analyzing data from previously administered
   common assessments.
Based upon your team’s
current status, click on the
most applicable scenario!


     Quickly
        !
1. Developing common assessment(s) from
   scratch.

2. Modifying an existing common
   assessment for alignment with Key
   Outcomes.

3. Analyzing data from previously
   administered common assessments.
Developing a CA from Scratch
When developing a common assessment here
 are some things to keep in mind. Before the
 first question is created, it is important to have
 established Key Outcomes/Local Standards.
   • To read an explanation of this process click here.
   • To view an example visit the Chemistry Master Map
     in the District Entity 2006-2007 of Curriculum
     Mapper and download the Local Standards located
     at the top of August.
*Although you are being provided with the materials necessary to complete this
  activity with a mapping team, it has been our experience that it can be
  efficiently and accurately completed by the facilitator with Scott and Matt’s
  assistance. This can save the group time and allow the mapping team to
  focus on minor revisions and the development of test questions.
Developing a CA from Scratch – Con’t
Now that your Key Outcomes/Local Standards
 are finished and attached to the Master Map,
 you are ready to begin developing test
 questions. A good resource to share with your
 mapping team would be Stiggins’ chart titled,
 “Links Among Achievement Targets and
 Assessment Methods.” Click here to view.
Stiggins’ document will help the mapping team
  determine the appropriate type(s) of assessment
  based on what they are assessing.
Developing a CA from Scratch – Con’t
The following clip discusses the process the mapping team will engage in to create
their common assessment. Double-click the video to begin.




                                         *Clip courtesy of the Assessment Training Institute
Developing a CA from Scratch – Con’t
• Request Members bring sample questions
  pertaining to the Key Outcomes to the next
  meeting.
• As facilitator, we suggest you monitor how
  many questions address each of the standards.
  The idea isn’t to have the same number of
  questions for each of your standards, but rather
  an appropriate number of questions relative to
  how much time was devoted to each of the
  standards on the map and during instruction.
Modifying a Common Assessment

               This section is for groups that had
             common assessments in place before
               local standards (derived from Key
             Outcomes) were developed. Now that
             you have local standards, you need to
             see if your assessments are assessing
                      what you are teaching!
Modifying a Common Assessment
When modifying a common assessment, one of the most
  important steps is ensuring that the test questions are aligned
  to the course’s Key Outcomes/Local Standards. The following
  language was taken from your Boot Camp Binder:
1. Examine the Common Assessments for alignment with Standards
   Now that the Standards are complete, it is time to work through the common
   assessments to see which questions relate to the different standards. During this
   process, the mapping team will determine if all of the questions on the common
   assessments fit into one of the standards (i.e. are we testing what we said we would
   teach?). If we find a question that does not fit into one of the standards that we
   created, there are two options. The first is to add another standard covering that
   topic. The second option is to either reword the question to make it more
   appropriate, or to get rid of the question all together.

2. Check the Thoroughness of the Common Assessment
   It may be a good idea to create a tally sheet of how many questions address each of
   the standards. The idea isn’t to have the same number of questions for each of your
   standards, but rather an appropriate number of questions relative to how much time
   was devoted to each of the standards. The mapping team may decide that some
   revision to the common assessment is necessary at this time.
Modifying a Common Assessment
Some other things to consider:
• Teacher Feedback – specifically comments regarding
  the test format (style of
  questions, language, length, etc…) or content issues
  (either questions on irrelevant material OR too few or
  no questions measuring a specific standard).
• Collected Data (possibly from Mastery Manager) –
  please help to ensure that mapping team decisions
  are based on data which might include trends or
  consensus from the team and are not necessarily
  reactionary in nature.
  • Please view the Analyzing Data pages that follow for more specific
    information.
Analyzing Data
 Based on careful analysis and
  inspection, I have concluded
 that gasoline is not necessary
     for my current mode of
         transportation!




    How can we use data to
     make meaningful and
 informed decisions in regards
    to our master maps and
    common assessments?


    *Audio clip courtesy of Bravenet.com
Analyzing Data
• As the facilitator, please remember to take time
  to celebrate any accomplishments that may be
  encountered when analyzing the data!
• Here are a few things to remember as you
  examine data with your mapping team:
  • NEVER show teacher or student names to the
    group.
  • Any changes based on data should be based on
    trends or consensus from the team. Avoid rushing
    to changes without sufficient evidence.
Analyzing Data

  There are really    Teacher Reflections:
 two forms of data    •Teachers should be given an
   that could be      opportunity to share resources and
     examined:        reflections that have been documented
teacher reflections   on their diary maps.
       and/or
 assessment data.     •Teachers may have comments on how
                      thoroughly the assessment measured
                      what was taught as described on the
                      master map.
Analyzing Data
Assessment Data
If your group gave a common assessment using Mastery
   Manager, here are some resources to help you
   successfully show them some of the results.
   • Please remember to avoid showing teacher or student names on any
     reports that you choose.


Begin by logging onto the Mastery Manager website.
   • Remember that your login is the first portion of your e-mail address (Ex. jhawk)
     and your default password was/is: chsd155

We strongly urge you to change your password ASAP to help protect the
  confidentiality of the data!
Analyzing Data
Generating Reports
  • Locate the name of the assessment that you plan
    on examining in the list of assessments.
  • Click on the Reports Button on the right side of the
    screen.
  • A new screen will appear allowing you to choose
    many different ways to display your data. In order
    to show the test results for ALL students taking the
    assessment lumped together, please follow the
    directions on the next page!
Analyzing Data


#1 - Choose the       #2 - Leave
 “All Teachers”         this on
choice at the top     “Combined
   of the list.        Selected
                       Sections.”



   #4 - Click on
                    #3 - Choose the
Generate Reports
                     “All Sections”
to gain access to
                    choice at the top
the data reports.
                       of the list.
Analyzing Data
After choosing “All Teachers” and “All Sections” and clicking on the generate reports
button, this screen appears allowing you access to a variety of reports.

     This reminds you of the
     assessment which you
     are examining.
                                                              The Item Analysis report is a
                                                              great report for any
                                                              assessment that does not
                                                              yet have local standards
                                                              linked to test questions.
   The Item Analysis by
   Learning Objective report is a
   great report for assessments
   that have established local
   standards and have them
   linked to test questions.                                   Please remember not to
                                                               show any reports that
                                                               display teacher or student
                                                               names!

                                                               Also, please only show
                                                               reports that you are
                                                               familiar with to avoid
                                                               accidentally showing a
                                                               report that may embarrass
                                                               a colleague.
Analyzing Data
If your common assessment does not currently have
   local standards assigned to test questions, then the
   most relevant report would most likely be the Item
   Analysis report. This report shows information on how
   students responded to all multiple choice questions.
   Please remember that by selecting all teachers and all
   sections this combines data for all teachers that gave
   this common assessment.
                  It is possible to attach local standards to questions in
                  Mastery Manager even after you have given the test.
                  Once this is done, new reports with more detailed
                  information will also become available without the need
                  to re-scan any student answer sheets.
Analyzing Data

                                       Sample Size
Remember, this shows                                        This column shows
combined data for all                                       statistically how difficult
teachers giving this                                        the question was. The
common assessment.                                          number relates to the
                                                            percentage of students
  This area shows the                                       that got the question
  number of students                                        correct. Anything
  that chose each                                           highlighted in red
  response as well as                                       means that less than
  the corresponding                                         50% of the students got
  percentage. Green                                         that question correct.
  represents what the
  correct answer was
  while yellow
                        Average                    Number of students leaving
  represents the most
                        score on the               the question blank.
  commonly chosen
  incorrect answer.     assessment.            Number & % of students that
                                               received a multimark answer (most
                                               commonly from poor erasing).
Analyzing Data
If your common assessment does have local
   standards attached to its test questions, then
   another report will offer some very detailed
   information for your mapping team. Please
   check out the Item Analysis by Learning
   Objective report. This report breaks the test
   into pieces showing how students performed on
   questions related to each of the local standards.
               Hear ye, hear ye! The question, “How
               do I know if my students have
               learned it?” has been answered!
Analyzing Data


                                                                     Displays the standard being
                                                                     measured, the percentage of
                                                                     students mastering this
The Mastery Cut Score                                                standard, and which test
refers to the percentage a                                           questions were specifically
student must earn to                                                 aligned with this standard.
demonstrate mastery.         Displays the Item Analysis for all of
                             the questions measuring this
                             standard.

                                                                      If 70% of students or more
                                                                      master the standard, this bar
                                                                      will be green. If 50-69%
                                                                      master the standard it will be
                                                                      yellow. It less than 50%
                                                                      master the standard, the bar
                                                                      will be red.
In Closing…
                  Thanks for your hard work and
                  leadership! Your efforts on the
              front lines have allowed us to move
                 forward and improve instruction
                    and assessment for all our
                 students! Remember it’s about
               answering the question, “How will
                   we know if our students have
                learned what our mapping teams
                have determined as important to
                           the course?”



              Keep up the good work! If you
              have any questions or need any
              assistance, please don’t hesitate
              to contact:
              Scott Kubelka 455.8500 x31
              Matt Timmerman 455.8500 x43

More Related Content

What's hot

Introductiontoproblemanalysis 100102034455-phpapp02
Introductiontoproblemanalysis 100102034455-phpapp02Introductiontoproblemanalysis 100102034455-phpapp02
Introductiontoproblemanalysis 100102034455-phpapp02
Ananta Yasaswy
 
Integrating Data Analysis at Berea College
Integrating Data Analysis at Berea CollegeIntegrating Data Analysis at Berea College
Integrating Data Analysis at Berea College
SERC at Carleton College
 
Problem analysis report
Problem analysis reportProblem analysis report
Problem analysis report
Zille Rodriguez
 
Ch. 7 finish and review
Ch. 7 finish and reviewCh. 7 finish and review
Ch. 7 finish and review
jbnx
 
Developing a problem tree
Developing a problem treeDeveloping a problem tree
Quality tools ppt.
Quality tools  ppt.Quality tools  ppt.
Quality tools ppt.
Mahmoud Shaqria
 
Michael Gage SOED 2016
Michael Gage SOED 2016Michael Gage SOED 2016
Michael Gage SOED 2016
Colleen Ganley
 
Evaluation Methods
Evaluation MethodsEvaluation Methods
Evaluation Methods
clearsateam
 
Data Collection
Data CollectionData Collection
Data Collection
FDLRS
 
2. paired stimulus (ps) preference assessment
2. paired stimulus (ps) preference assessment2. paired stimulus (ps) preference assessment
2. paired stimulus (ps) preference assessment
Grecia1889
 

What's hot (10)

Introductiontoproblemanalysis 100102034455-phpapp02
Introductiontoproblemanalysis 100102034455-phpapp02Introductiontoproblemanalysis 100102034455-phpapp02
Introductiontoproblemanalysis 100102034455-phpapp02
 
Integrating Data Analysis at Berea College
Integrating Data Analysis at Berea CollegeIntegrating Data Analysis at Berea College
Integrating Data Analysis at Berea College
 
Problem analysis report
Problem analysis reportProblem analysis report
Problem analysis report
 
Ch. 7 finish and review
Ch. 7 finish and reviewCh. 7 finish and review
Ch. 7 finish and review
 
Developing a problem tree
Developing a problem treeDeveloping a problem tree
Developing a problem tree
 
Quality tools ppt.
Quality tools  ppt.Quality tools  ppt.
Quality tools ppt.
 
Michael Gage SOED 2016
Michael Gage SOED 2016Michael Gage SOED 2016
Michael Gage SOED 2016
 
Evaluation Methods
Evaluation MethodsEvaluation Methods
Evaluation Methods
 
Data Collection
Data CollectionData Collection
Data Collection
 
2. paired stimulus (ps) preference assessment
2. paired stimulus (ps) preference assessment2. paired stimulus (ps) preference assessment
2. paired stimulus (ps) preference assessment
 

Viewers also liked

Beyond Fossil Fuels: Biofuel Opportunities for Africa
Beyond Fossil Fuels: Biofuel Opportunities for AfricaBeyond Fossil Fuels: Biofuel Opportunities for Africa
Beyond Fossil Fuels: Biofuel Opportunities for Africa
XZ3
 
Conversion of Marine Fishing Vessel Diesel Engines for Use with Straight Vege...
Conversion of Marine Fishing Vessel Diesel Engines for Use with Straight Vege...Conversion of Marine Fishing Vessel Diesel Engines for Use with Straight Vege...
Conversion of Marine Fishing Vessel Diesel Engines for Use with Straight Vege...
XZ3
 
Breeding Sustainable Energy Crops For The Developing World
Breeding Sustainable Energy Crops For The Developing WorldBreeding Sustainable Energy Crops For The Developing World
Breeding Sustainable Energy Crops For The Developing World
XZ3
 
Coconut Oil as a Biofuel in Pacific Islands
Coconut Oil as a Biofuel in Pacific IslandsCoconut Oil as a Biofuel in Pacific Islands
Coconut Oil as a Biofuel in Pacific Islands
XZ3
 
ELSBETT Straight Vegetable Oil Engine Technology
ELSBETT Straight Vegetable Oil Engine TechnologyELSBETT Straight Vegetable Oil Engine Technology
ELSBETT Straight Vegetable Oil Engine Technology
XZ3
 
Can It Be Done: I ran my Mercedes on Straight Vegetable Oil
Can It Be Done: I ran my Mercedes on Straight Vegetable Oil  Can It Be Done: I ran my Mercedes on Straight Vegetable Oil
Can It Be Done: I ran my Mercedes on Straight Vegetable Oil
XZ3
 
A Comparison of Liquid Biofuels in Home Heating Furnaces
A Comparison of Liquid Biofuels in Home Heating FurnacesA Comparison of Liquid Biofuels in Home Heating Furnaces
A Comparison of Liquid Biofuels in Home Heating Furnaces
XZ3
 
Alternative Vehicles: Straight Vegetable Oil
Alternative Vehicles: Straight Vegetable OilAlternative Vehicles: Straight Vegetable Oil
Alternative Vehicles: Straight Vegetable Oil
XZ3
 
Characterization Of Jatropha Curcas L. Seed And Its Oil
Characterization Of Jatropha Curcas L. Seed And Its OilCharacterization Of Jatropha Curcas L. Seed And Its Oil
Characterization Of Jatropha Curcas L. Seed And Its Oil
XZ3
 
Adapting A VW Golf Car For Using Pure Rapeseed Oil As Fuel
Adapting A VW Golf Car For Using Pure Rapeseed Oil As FuelAdapting A VW Golf Car For Using Pure Rapeseed Oil As Fuel
Adapting A VW Golf Car For Using Pure Rapeseed Oil As Fuel
XZ3
 
Biodiesel Production from Jatropha curcas Oil Using Potassium Carbonate
Biodiesel Production from Jatropha curcas Oil Using Potassium CarbonateBiodiesel Production from Jatropha curcas Oil Using Potassium Carbonate
Biodiesel Production from Jatropha curcas Oil Using Potassium Carbonate
XZ3
 
25 free Historicial Gardening Posters
25 free Historicial Gardening Posters25 free Historicial Gardening Posters
25 free Historicial Gardening Posters
XZ3
 
Diesel -Therm: The Solution for Freezing Problems with Biofuels
Diesel -Therm: The Solution for Freezing Problems with BiofuelsDiesel -Therm: The Solution for Freezing Problems with Biofuels
Diesel -Therm: The Solution for Freezing Problems with Biofuels
XZ3
 
Algae the New BioEnergy Fuel
Algae the New BioEnergy FuelAlgae the New BioEnergy Fuel
Algae the New BioEnergy Fuel
XZ3
 
Resume
ResumeResume
Ivy worldwide hp womm select program summary
Ivy worldwide hp womm select program summaryIvy worldwide hp womm select program summary
Ivy worldwide hp womm select program summary
Dana Harrold
 
Us retail online store customer ratings and reviews full version
Us retail online store customer ratings and reviews full versionUs retail online store customer ratings and reviews full version
Us retail online store customer ratings and reviews full version
Dana Harrold
 

Viewers also liked (17)

Beyond Fossil Fuels: Biofuel Opportunities for Africa
Beyond Fossil Fuels: Biofuel Opportunities for AfricaBeyond Fossil Fuels: Biofuel Opportunities for Africa
Beyond Fossil Fuels: Biofuel Opportunities for Africa
 
Conversion of Marine Fishing Vessel Diesel Engines for Use with Straight Vege...
Conversion of Marine Fishing Vessel Diesel Engines for Use with Straight Vege...Conversion of Marine Fishing Vessel Diesel Engines for Use with Straight Vege...
Conversion of Marine Fishing Vessel Diesel Engines for Use with Straight Vege...
 
Breeding Sustainable Energy Crops For The Developing World
Breeding Sustainable Energy Crops For The Developing WorldBreeding Sustainable Energy Crops For The Developing World
Breeding Sustainable Energy Crops For The Developing World
 
Coconut Oil as a Biofuel in Pacific Islands
Coconut Oil as a Biofuel in Pacific IslandsCoconut Oil as a Biofuel in Pacific Islands
Coconut Oil as a Biofuel in Pacific Islands
 
ELSBETT Straight Vegetable Oil Engine Technology
ELSBETT Straight Vegetable Oil Engine TechnologyELSBETT Straight Vegetable Oil Engine Technology
ELSBETT Straight Vegetable Oil Engine Technology
 
Can It Be Done: I ran my Mercedes on Straight Vegetable Oil
Can It Be Done: I ran my Mercedes on Straight Vegetable Oil  Can It Be Done: I ran my Mercedes on Straight Vegetable Oil
Can It Be Done: I ran my Mercedes on Straight Vegetable Oil
 
A Comparison of Liquid Biofuels in Home Heating Furnaces
A Comparison of Liquid Biofuels in Home Heating FurnacesA Comparison of Liquid Biofuels in Home Heating Furnaces
A Comparison of Liquid Biofuels in Home Heating Furnaces
 
Alternative Vehicles: Straight Vegetable Oil
Alternative Vehicles: Straight Vegetable OilAlternative Vehicles: Straight Vegetable Oil
Alternative Vehicles: Straight Vegetable Oil
 
Characterization Of Jatropha Curcas L. Seed And Its Oil
Characterization Of Jatropha Curcas L. Seed And Its OilCharacterization Of Jatropha Curcas L. Seed And Its Oil
Characterization Of Jatropha Curcas L. Seed And Its Oil
 
Adapting A VW Golf Car For Using Pure Rapeseed Oil As Fuel
Adapting A VW Golf Car For Using Pure Rapeseed Oil As FuelAdapting A VW Golf Car For Using Pure Rapeseed Oil As Fuel
Adapting A VW Golf Car For Using Pure Rapeseed Oil As Fuel
 
Biodiesel Production from Jatropha curcas Oil Using Potassium Carbonate
Biodiesel Production from Jatropha curcas Oil Using Potassium CarbonateBiodiesel Production from Jatropha curcas Oil Using Potassium Carbonate
Biodiesel Production from Jatropha curcas Oil Using Potassium Carbonate
 
25 free Historicial Gardening Posters
25 free Historicial Gardening Posters25 free Historicial Gardening Posters
25 free Historicial Gardening Posters
 
Diesel -Therm: The Solution for Freezing Problems with Biofuels
Diesel -Therm: The Solution for Freezing Problems with BiofuelsDiesel -Therm: The Solution for Freezing Problems with Biofuels
Diesel -Therm: The Solution for Freezing Problems with Biofuels
 
Algae the New BioEnergy Fuel
Algae the New BioEnergy FuelAlgae the New BioEnergy Fuel
Algae the New BioEnergy Fuel
 
Resume
ResumeResume
Resume
 
Ivy worldwide hp womm select program summary
Ivy worldwide hp womm select program summaryIvy worldwide hp womm select program summary
Ivy worldwide hp womm select program summary
 
Us retail online store customer ratings and reviews full version
Us retail online store customer ratings and reviews full versionUs retail online store customer ratings and reviews full version
Us retail online store customer ratings and reviews full version
 

Similar to Analyzing data the data is coming

Training Program Evaluation
Training Program EvaluationTraining Program Evaluation
Training Program Evaluation
Laura Pasquini
 
Inservice eval tool
Inservice eval toolInservice eval tool
Inservice eval tool
tweisz
 
How to prioritize criteria - process overview
How to prioritize criteria - process overviewHow to prioritize criteria - process overview
How to prioritize criteria - process overview
TransparentChoice
 
Bioscience Laboratory Workforce Skills - part II
Bioscience Laboratory Workforce Skills - part IIBioscience Laboratory Workforce Skills - part II
Bioscience Laboratory Workforce Skills - part II
bio-link
 
7 QC Tools training presentation
7 QC Tools training presentation7 QC Tools training presentation
7 QC Tools training presentation
PRASHANT KSHIRSAGAR
 
Hide Assignment InformationTurnitin®This assignment will be
Hide Assignment InformationTurnitin®This assignment will be Hide Assignment InformationTurnitin®This assignment will be
Hide Assignment InformationTurnitin®This assignment will be
SusanaFurman449
 
Creating Rubrics
Creating RubricsCreating Rubrics
Creating Rubrics
chedisky
 
Business analyst
Business analystBusiness analyst
Business analyst
Hemanth Kumar
 
Student Voice
Student VoiceStudent Voice
Student Voice
vmonacelli
 
Cause and effect diagrams
Cause and effect diagramsCause and effect diagrams
Cause and effect diagrams
Ronald Bartels
 
Building a Peer Evaluation Program
Building a Peer Evaluation ProgramBuilding a Peer Evaluation Program
Building a Peer Evaluation Program
Qualtrics
 
Data Driven Decision Making Presentation
Data Driven Decision Making PresentationData Driven Decision Making Presentation
Data Driven Decision Making Presentation
Russell Kunz
 
UNIT 4.pptx
UNIT 4.pptxUNIT 4.pptx
UNIT 4.pptx
SreeLatha98
 
Data Management Lab: Data mapping exercise instructions
Data Management Lab: Data mapping exercise instructionsData Management Lab: Data mapping exercise instructions
Data Management Lab: Data mapping exercise instructions
IUPUI
 
! College of Doctoral Studies PSY 850 SPSS Assi.docx
!          College of Doctoral Studies PSY 850 SPSS Assi.docx!          College of Doctoral Studies PSY 850 SPSS Assi.docx
! College of Doctoral Studies PSY 850 SPSS Assi.docx
MARRY7
 
Designing and Conducting Formative Evaluations
Designing and Conducting Formative EvaluationsDesigning and Conducting Formative Evaluations
Designing and Conducting Formative Evaluations
cloder6416
 
Module 12 slideshare
Module 12 slideshareModule 12 slideshare
Module 12 slideshare
JettEven
 
General Tips to Fast-Track Your Quantitative Methodology
General Tips to Fast-Track Your Quantitative MethodologyGeneral Tips to Fast-Track Your Quantitative Methodology
General Tips to Fast-Track Your Quantitative Methodology
Statistics Solutions
 
Handout #5 - QIAMay4
Handout #5 - QIAMay4 Handout #5 - QIAMay4
Handout #5 - QIAMay4
Mentoring Partnership of Minnesota
 
Using Your Logic Model to Focus Evaluation
Using Your Logic Model to Focus EvaluationUsing Your Logic Model to Focus Evaluation
Using Your Logic Model to Focus Evaluation
Friends for Youth, Inc.
 

Similar to Analyzing data the data is coming (20)

Training Program Evaluation
Training Program EvaluationTraining Program Evaluation
Training Program Evaluation
 
Inservice eval tool
Inservice eval toolInservice eval tool
Inservice eval tool
 
How to prioritize criteria - process overview
How to prioritize criteria - process overviewHow to prioritize criteria - process overview
How to prioritize criteria - process overview
 
Bioscience Laboratory Workforce Skills - part II
Bioscience Laboratory Workforce Skills - part IIBioscience Laboratory Workforce Skills - part II
Bioscience Laboratory Workforce Skills - part II
 
7 QC Tools training presentation
7 QC Tools training presentation7 QC Tools training presentation
7 QC Tools training presentation
 
Hide Assignment InformationTurnitin®This assignment will be
Hide Assignment InformationTurnitin®This assignment will be Hide Assignment InformationTurnitin®This assignment will be
Hide Assignment InformationTurnitin®This assignment will be
 
Creating Rubrics
Creating RubricsCreating Rubrics
Creating Rubrics
 
Business analyst
Business analystBusiness analyst
Business analyst
 
Student Voice
Student VoiceStudent Voice
Student Voice
 
Cause and effect diagrams
Cause and effect diagramsCause and effect diagrams
Cause and effect diagrams
 
Building a Peer Evaluation Program
Building a Peer Evaluation ProgramBuilding a Peer Evaluation Program
Building a Peer Evaluation Program
 
Data Driven Decision Making Presentation
Data Driven Decision Making PresentationData Driven Decision Making Presentation
Data Driven Decision Making Presentation
 
UNIT 4.pptx
UNIT 4.pptxUNIT 4.pptx
UNIT 4.pptx
 
Data Management Lab: Data mapping exercise instructions
Data Management Lab: Data mapping exercise instructionsData Management Lab: Data mapping exercise instructions
Data Management Lab: Data mapping exercise instructions
 
! College of Doctoral Studies PSY 850 SPSS Assi.docx
!          College of Doctoral Studies PSY 850 SPSS Assi.docx!          College of Doctoral Studies PSY 850 SPSS Assi.docx
! College of Doctoral Studies PSY 850 SPSS Assi.docx
 
Designing and Conducting Formative Evaluations
Designing and Conducting Formative EvaluationsDesigning and Conducting Formative Evaluations
Designing and Conducting Formative Evaluations
 
Module 12 slideshare
Module 12 slideshareModule 12 slideshare
Module 12 slideshare
 
General Tips to Fast-Track Your Quantitative Methodology
General Tips to Fast-Track Your Quantitative MethodologyGeneral Tips to Fast-Track Your Quantitative Methodology
General Tips to Fast-Track Your Quantitative Methodology
 
Handout #5 - QIAMay4
Handout #5 - QIAMay4 Handout #5 - QIAMay4
Handout #5 - QIAMay4
 
Using Your Logic Model to Focus Evaluation
Using Your Logic Model to Focus EvaluationUsing Your Logic Model to Focus Evaluation
Using Your Logic Model to Focus Evaluation
 

Recently uploaded

Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
innovationoecd
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
akankshawande
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
ssuserfac0301
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Zilliz
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
CAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on BlockchainCAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on Blockchain
Claudio Di Ciccio
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
Mariano Tinti
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 

Recently uploaded (20)

Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
CAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on BlockchainCAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on Blockchain
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 

Analyzing data the data is coming

  • 1. The data is coming, the data is coming! A Self Help Guide to planning an effective Assessment Meeting: Early Release Days January 31st, February 13th, and March 16th
  • 2. Mapping Team Scenarios In most situations your mapping team will be in one of the following three modes: 1. Developing common assessment(s) from scratch. 2. Modifying an existing common assessment for alignment with Key Outcomes. 3. Analyzing data from previously administered common assessments.
  • 3. Based upon your team’s current status, click on the most applicable scenario! Quickly ! 1. Developing common assessment(s) from scratch. 2. Modifying an existing common assessment for alignment with Key Outcomes. 3. Analyzing data from previously administered common assessments.
  • 4. Developing a CA from Scratch When developing a common assessment here are some things to keep in mind. Before the first question is created, it is important to have established Key Outcomes/Local Standards. • To read an explanation of this process click here. • To view an example visit the Chemistry Master Map in the District Entity 2006-2007 of Curriculum Mapper and download the Local Standards located at the top of August. *Although you are being provided with the materials necessary to complete this activity with a mapping team, it has been our experience that it can be efficiently and accurately completed by the facilitator with Scott and Matt’s assistance. This can save the group time and allow the mapping team to focus on minor revisions and the development of test questions.
  • 5. Developing a CA from Scratch – Con’t Now that your Key Outcomes/Local Standards are finished and attached to the Master Map, you are ready to begin developing test questions. A good resource to share with your mapping team would be Stiggins’ chart titled, “Links Among Achievement Targets and Assessment Methods.” Click here to view. Stiggins’ document will help the mapping team determine the appropriate type(s) of assessment based on what they are assessing.
  • 6. Developing a CA from Scratch – Con’t The following clip discusses the process the mapping team will engage in to create their common assessment. Double-click the video to begin. *Clip courtesy of the Assessment Training Institute
  • 7. Developing a CA from Scratch – Con’t • Request Members bring sample questions pertaining to the Key Outcomes to the next meeting. • As facilitator, we suggest you monitor how many questions address each of the standards. The idea isn’t to have the same number of questions for each of your standards, but rather an appropriate number of questions relative to how much time was devoted to each of the standards on the map and during instruction.
  • 8. Modifying a Common Assessment This section is for groups that had common assessments in place before local standards (derived from Key Outcomes) were developed. Now that you have local standards, you need to see if your assessments are assessing what you are teaching!
  • 9. Modifying a Common Assessment When modifying a common assessment, one of the most important steps is ensuring that the test questions are aligned to the course’s Key Outcomes/Local Standards. The following language was taken from your Boot Camp Binder: 1. Examine the Common Assessments for alignment with Standards Now that the Standards are complete, it is time to work through the common assessments to see which questions relate to the different standards. During this process, the mapping team will determine if all of the questions on the common assessments fit into one of the standards (i.e. are we testing what we said we would teach?). If we find a question that does not fit into one of the standards that we created, there are two options. The first is to add another standard covering that topic. The second option is to either reword the question to make it more appropriate, or to get rid of the question all together. 2. Check the Thoroughness of the Common Assessment It may be a good idea to create a tally sheet of how many questions address each of the standards. The idea isn’t to have the same number of questions for each of your standards, but rather an appropriate number of questions relative to how much time was devoted to each of the standards. The mapping team may decide that some revision to the common assessment is necessary at this time.
  • 10. Modifying a Common Assessment Some other things to consider: • Teacher Feedback – specifically comments regarding the test format (style of questions, language, length, etc…) or content issues (either questions on irrelevant material OR too few or no questions measuring a specific standard). • Collected Data (possibly from Mastery Manager) – please help to ensure that mapping team decisions are based on data which might include trends or consensus from the team and are not necessarily reactionary in nature. • Please view the Analyzing Data pages that follow for more specific information.
  • 11. Analyzing Data Based on careful analysis and inspection, I have concluded that gasoline is not necessary for my current mode of transportation! How can we use data to make meaningful and informed decisions in regards to our master maps and common assessments? *Audio clip courtesy of Bravenet.com
  • 12. Analyzing Data • As the facilitator, please remember to take time to celebrate any accomplishments that may be encountered when analyzing the data! • Here are a few things to remember as you examine data with your mapping team: • NEVER show teacher or student names to the group. • Any changes based on data should be based on trends or consensus from the team. Avoid rushing to changes without sufficient evidence.
  • 13. Analyzing Data There are really Teacher Reflections: two forms of data •Teachers should be given an that could be opportunity to share resources and examined: reflections that have been documented teacher reflections on their diary maps. and/or assessment data. •Teachers may have comments on how thoroughly the assessment measured what was taught as described on the master map.
  • 14. Analyzing Data Assessment Data If your group gave a common assessment using Mastery Manager, here are some resources to help you successfully show them some of the results. • Please remember to avoid showing teacher or student names on any reports that you choose. Begin by logging onto the Mastery Manager website. • Remember that your login is the first portion of your e-mail address (Ex. jhawk) and your default password was/is: chsd155 We strongly urge you to change your password ASAP to help protect the confidentiality of the data!
  • 15. Analyzing Data Generating Reports • Locate the name of the assessment that you plan on examining in the list of assessments. • Click on the Reports Button on the right side of the screen. • A new screen will appear allowing you to choose many different ways to display your data. In order to show the test results for ALL students taking the assessment lumped together, please follow the directions on the next page!
  • 16. Analyzing Data #1 - Choose the #2 - Leave “All Teachers” this on choice at the top “Combined of the list. Selected Sections.” #4 - Click on #3 - Choose the Generate Reports “All Sections” to gain access to choice at the top the data reports. of the list.
  • 17. Analyzing Data After choosing “All Teachers” and “All Sections” and clicking on the generate reports button, this screen appears allowing you access to a variety of reports. This reminds you of the assessment which you are examining. The Item Analysis report is a great report for any assessment that does not yet have local standards linked to test questions. The Item Analysis by Learning Objective report is a great report for assessments that have established local standards and have them linked to test questions. Please remember not to show any reports that display teacher or student names! Also, please only show reports that you are familiar with to avoid accidentally showing a report that may embarrass a colleague.
  • 18. Analyzing Data If your common assessment does not currently have local standards assigned to test questions, then the most relevant report would most likely be the Item Analysis report. This report shows information on how students responded to all multiple choice questions. Please remember that by selecting all teachers and all sections this combines data for all teachers that gave this common assessment. It is possible to attach local standards to questions in Mastery Manager even after you have given the test. Once this is done, new reports with more detailed information will also become available without the need to re-scan any student answer sheets.
  • 19. Analyzing Data Sample Size Remember, this shows This column shows combined data for all statistically how difficult teachers giving this the question was. The common assessment. number relates to the percentage of students This area shows the that got the question number of students correct. Anything that chose each highlighted in red response as well as means that less than the corresponding 50% of the students got percentage. Green that question correct. represents what the correct answer was while yellow Average Number of students leaving represents the most score on the the question blank. commonly chosen incorrect answer. assessment. Number & % of students that received a multimark answer (most commonly from poor erasing).
  • 20. Analyzing Data If your common assessment does have local standards attached to its test questions, then another report will offer some very detailed information for your mapping team. Please check out the Item Analysis by Learning Objective report. This report breaks the test into pieces showing how students performed on questions related to each of the local standards. Hear ye, hear ye! The question, “How do I know if my students have learned it?” has been answered!
  • 21. Analyzing Data Displays the standard being measured, the percentage of students mastering this The Mastery Cut Score standard, and which test refers to the percentage a questions were specifically student must earn to aligned with this standard. demonstrate mastery. Displays the Item Analysis for all of the questions measuring this standard. If 70% of students or more master the standard, this bar will be green. If 50-69% master the standard it will be yellow. It less than 50% master the standard, the bar will be red.
  • 22. In Closing… Thanks for your hard work and leadership! Your efforts on the front lines have allowed us to move forward and improve instruction and assessment for all our students! Remember it’s about answering the question, “How will we know if our students have learned what our mapping teams have determined as important to the course?” Keep up the good work! If you have any questions or need any assistance, please don’t hesitate to contact: Scott Kubelka 455.8500 x31 Matt Timmerman 455.8500 x43