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Data-baseddecisionmaking:AkeytosuccessforALL!
SuccessfulLearningConference2017
Bree Jimenez,PhD
MaterDeiSchool&UniversityofSydney
Snell(2003)remindsusthatinadditiontotheircollectivediversityandneedforlifelongsupports,individualswithseveredisabilitiesshareafundamentalhumantrait,the“capacitytolearn”(p.221).
ReasonsforOptimism
• InclusiveEducation• SchoolReformandRestructuring• AccesstoAustralianCurriculum• TransitiontoAdultLife• PositiveBehaviorSupports• PeerSupports• Self-Determination
CriterionoftheLeastDangerousAssumption(Donnellan,1984)
– “Weshouldassumethatpoorperformanceisduetoinstructionalinadequacyratherthantostudentdeficits.”
– Inotherwords,ifastudentdoesnotdowell,thequalityoftheinstructionshouldbequestionedbeforethestudent’sabilitytolearn.
ANewParadigmCherylJorgenson(2005)
1. Allpeoplehavedifferenttalentsandskills.2. Intelligenceisnotaone-dimensionalconstruct,
norcanit(oritsabsence)bemeasuredaccuratelyandreliablyenoughtobasestudents’educationalprogramsandfuturegoalsontestresults.
3. Childrenlearnbestwhentheyfeelvalued,whenpeopleholdhighexpectationsforthem,andwhentheyaretaughtandsupportedwell.
LearninginGeneralCurriculumforSswithSCDBasedonLeastDangerousAssumption
1.Createfulleducationalopportunity.
2.Promotecurrentandfutureoptions.
3.Complementdailylivingskills.
4.Enhanceinclusion.
5.Promotestudentabilities.
1.Createfulleducationalopportunity.
Wedonotknowwhatstudentscanachieveuntiltheyhavetheopportunitytolearn.
Academiclearningcanenhanceuseoftechnologyfordailylife.
• (Useofcomputer)
Skillslikereadingandmathincreaseemploymentoptions.
• Pictureofstudentinajobshowingneedforacademics(e.g.,readingmanual)
2.Promotecurrentandfutureoptionsinthecommunity.
• (pictureofstudentdoingsomeDLSlikecooking)
Thereisnoevidencethatapersonmustmasterallormostdailylivingskillsbeforebeingabletolearnacademics.Infactthatexpectationisadoublestandardonlyappliedtostudentswithmoreseveredisabilities.
3.Complementacquisitionofdailylivingskills.
Academiclearningenhancesschoolinclusionasstudentsfocusonthesamecontent.
4.Enhanceschoolinclusion.
AcademiclearningcanbeaugmentedwithtechnologicalsupportsandmayactuallybemorefeasibleandappealingforsomeSs withSCDthanmotoricdemandsofdailylivingroutines.
5.Promotestudentabilities.
ApplythefollowingcriteriatopromoteLDA
1. Outcomesbasedinstruction2. Evidence-basedpractices3. Differentiatedinstructionwhichmaintains
rigor4. Consistentdatacaptureanddecision
making
RIGOROUS- beingdeep,ratherthanbroad;andactiveratherthanpassive
ACARA(2012).Guidance-for-using-the-Australian-Curriculum-with-students-
with-special-education-needs
ResponseModes• Datacollectedmustbeanaccuraterepresentationof
whatthestudentknowsandcando.• Tasksmustbedesignedandsupportsmustbeutilized
insuchawayasthestudentcanindependentlyrespondtoanyitemspresented.
HowWillStudentAnswer?Responseboardoption
• Providesavisualaid• Simplifiesrespondingbyofferingoptions
• Onlyuseforstudentswhocannotcomposeanswerusingspeech
OutcomesBased
Instruction
EBPs
T
Data Based Decisions
Outcomes Based
Instruction
Evidence Based
Instruction
Foundational Skills
VarietyofWaystoMakeOutcomesAccessible
• Prioritize– Teachaportionofthecontent
• Pinpoint– Teachaportionofeachoutcome
• Simplify– Anextensionoftheoutcome
• TaskAnalyze– Skillsequences
BigIdeas&KeyVocabulary• Story-basedLiteratureLessons:KeyVocabularywithpicturecomprehension
– Browder,Trela,&Jimenez(2007)
WonderstoriesinScience;KeyVocabulary(object/picturematch)– Browder,D. M.,Trela,K.,Courtade,G. R.,Jimenez,B. A.,Knight.V.,&Flowers,C.
(2012).– Smith,Spooner,Jimenez,&Browder(2012)– Mims,Hudson,&Browder(2012)– Jimenez,Knight,&Browder(2012)
DataCollection
Student Name: James Target Behavior: Answer inference questions related to grade appropriate text Criterion for Mastery: ¾ trials 100
90
80
70
60
50
40
30
20
10 Question 4 M M M V V I Question 3 M M M I V I 0 Question 2 P M M V I V % Question 1 P M M M M M
DATE 29.3 31.3 3.4 6.4 10.4 14.4 # correct/total 0 0 0 1 1 2
WHO EL EL JG EL EL SG WHERE/WHEN Hobbit
– chapter 1
Hobbit – Chapter 1
Hobbit – Chapter 2
History lesson -
Hobbit – Chapter 3
Religion lesson – story
Record the prompt level codes in the boxes:
I – independentV – “highlight key info” to make inferenceM – “think aloud”P – tell student answer
Skills Progress Problem (see back) Application(s) to be tried
Date Implemented Comments
Obj: ___ Regressionacrossallskills
___Inconsistentdatacollection/
instruction
___Slowprogress
___Variableprogressorregression
inoneskill
___ Good progress J
___ Mastery
Enhancing Instructional EffectivenessPlanning For Progress
CriterionoftheLeastDangerousAssumption(Donnellan,1984)
– “Weshouldassumethatpoorperformanceisduetoinstructionalinadequacyratherthantostudentdeficits.”
– Inotherwords,ifastudentdoesnotdowell,thequalityoftheinstructionshouldbequestionedbeforethestudent’sabilitytolearn.
ToolstoTeachtotheOutcomes
HOWTOTEACHTOTHE
OUTCOMES
UniversalDesignforLearning
AssistiveTechnology
ResearchtoPractice
Generalisation
Systematicinstruction
Student-directedlearning
Jimenez,Courtade,Browder(2013).SixSuccessfulStrategiesforTeachingtotheStandards.Verona,WI.AttainmentCompany.
“aguywithadisabilitywithPOWERinhislife”–KurtFearnley,ACELDisabilitySummit2017
StudentEngagedFormativeAssessments
(Jimenez&Warren,inprogress)
SUCCESSFULLEARNINGCONFERENCE
[email protected]@materdei.edu.org
Facebook:Dr.Bree JimenezTwitter:@BreeAnnJimenez