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Conclusion In education systems where time and resources are precious, it could be incredibly beneficial to be able to predict how much different measures will improve based on working memory skills so that interventions could be targeted to more specific groups. Currently the data suggest that Working Memory improvement on the training tasks might be predictive of improvement on Dot Counting Accuracy (WM), Reading Fluency, and Auditory Word Attack. Working Memory Training: Predicting Transfer Chelsea M. Parlett 1 , Masha R. Jones 1 , Maria Jesus Maraver 2 , MariaTeresa Bajo 2 , Carlos J. Gomez-Ariza 3 , Jacky Au 14 , Martin Buschkuehl 4 , Susanne M. Jaeggi 1 1 University of California – Irvine, 2 University of Granada, 3 University of Jaen, 4 MIND Research Institute References Methods Abstract Literacy is important, and children with low reading skills often suffer in more subjects than just English. Especially in the information rich culture of the 21st century, the ability to read and comprehend large amounts of data is critical for success Children with dyslexia account for approximately 17% of American youth. Reading comprehension involves considerable working memory (WM), and WM deficits are among the major underlying factors driving reading difficulties in dyslexia. Our ongoing study is a pre/posttest randomized controlled trial with 4th and 5th grade dyslexic and ND students, randomly assigned to the WMT or control condition. Children train on three computerized WMT games or on control games for 10 sessions lasting 15 minutes each and take pre- and posttests of WM and reading ability. Preliminary results suggest that training works better for high skill readers than low skill readers. Our hope is that this would become something that is easily accessible online to kids everywhere. This could also allow us to gather larger amounts of data in order to look at more relationships between reading and working memory. Klingberg,T. (2010).Training and plasticity of working memory. Trends Cogn Sci. 14(7):317-24. (2) Jaeggi S. M., Buschkuehl M., Shah P., Jonides J. (2014).The role of individual differences in cognitive training and transfer. Mem. Cogn. 42 464–480. Authors’ note: MB and JA are employed at MIND Research Ins8tute, whose interest is related to this work. SMJ has an indirect financial interest in MIND Research Ins8tute. § Training gains were calculated for the Working MemoryTraining (WMT) group by subtracting the average of the first two rounds from the average of the last two rounds (all games were averaged together). § A linear regression was then fit with 6 of our relevant outcome measures. § Future models could also take into account starting level since there could be a ceiling on Working Memory improvement. § Training improvement may have different predictive power for different types of measures. For example, Spelling ability is not expected to improve with WMT, and in fact there is very little predictive power of WMT gains on Spelling improvement. § It is also of interest that Dot Counting and Updating are near transfer measures whereas reading fluency (RF) and Reading Efficiency (RE) are far transfer measures. What kind of measures are more predicted by WMT improvement? § Further analysis could also help us see whether other factors such as gender, age, or SES could improve the predictive power of WMT improvement on different measures. § 34 students (4 th and 5 th grade) trained for 15 minutes every day on three different working memory tasks (right) for 10 days each § Before and aLer training, subjects took a baOery of working memory and reading tests to measure improvement. § Data Collec8on is ongoing. § Transfer of working memory training to reading ability will be assessed upon comple8on of data collec8on. Subject Training Improvement Transfer to non- trained tasks (near and far) Prediction models Contact [email protected] || [email protected] || [email protected] Dot Coun8ng P = 0.0075 Dot Coun8ng is a Span Task that is measured by having subjects count and remember sets of dots. r 2 =.23 Reading Fluency P = 0.0214 Reading Fluency measures Reading Comprehension and speed. r 2 = 0.21 Auditory Word AOack P = 0.077 Auditory Word AOack is adapted from a sub-measure of the Woodcock Johnson test that measures non-word decoding. r 2 = .10 Upda8ng P = 0.2872 For the upda8ng task, subjects remember the 3 largest numbers in an audio list. This requires them to con8nually update which numbers are the largest. r 2 = 0.05 Spelling P = 0.5062 Our spelling task measured subjects’ ability to spell progressively harder words. It is not expected to improve as a result of Working Memory training. r 2 = 0.02 Reading Efficiency P = 0.7763 Reading Efficiency is measured on complex sentences (Hits/Hits RT) r 2 = 0.003 Far Transfer Near Transfer Control Transfer

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Conclusion •  Ineducationsystemswhere timeand resourcesareprecious, it couldbe incrediblybeneficial tobeable topredicthowmuch

differentmeasureswillimprovebasedonworkingmemoryskillssothatinterventionscouldbetargetedtomorespecificgroups.•  CurrentlythedatasuggestthatWorkingMemoryimprovementonthetrainingtasksmightbepredictiveofimprovementonDot

CountingAccuracy(WM),ReadingFluency,andAuditoryWordAttack.

Working Memory Training: Predicting Transfer ChelseaM.Parlett1,MashaR.Jones1,MariaJesusMaraver2,MariaTeresaBajo2,CarlosJ.Gomez-Ariza3,JackyAu14,MartinBuschkuehl4,SusanneM.Jaeggi1

1UniversityofCalifornia–Irvine,2UniversityofGranada,3UniversityofJaen,4MINDResearchInstitute

References

Methods Abstract Literacyisimportant,andchildrenwithlowreadingskillsoftensufferinmoresubjectsthanjustEnglish.Especiallyintheinformationrichcultureofthe21stcentury,theabilitytoreadandcomprehendlargeamountsofdataiscriticalforsuccessChildrenwithdyslexiaaccountfor approximately 17% of American youth. Reading comprehension involves considerableworking memory (WM), andWM deficits are among the major underlying factors drivingreading difficulties in dyslexia.Our ongoing study is a pre/posttest randomized controlledtrial with 4th and 5th grade dyslexic andND students, randomly assigned to theWMT orcontrolcondition.ChildrentrainonthreecomputerizedWMTgamesoroncontrolgamesfor10sessions lasting15minuteseachand takepre-andposttestsofWMand readingability.Preliminary results suggest that training works better for high skill readers than low skillreaders.Ourhopeisthatthiswouldbecomesomethingthatiseasilyaccessibleonlinetokidseverywhere.Thiscouldalsoallowustogatherlargeramountsofdatainordertolookatmorerelationshipsbetweenreadingandworkingmemory.

•  Klingberg,T.(2010).Trainingandplasticityofworkingmemory.TrendsCognSci.14(7):317-24.(2)JaeggiS.M.,BuschkuehlM.,ShahP.,JonidesJ.(2014).Theroleofindividualdifferencesincognitivetrainingandtransfer.Mem.Cogn.42464–480.

•  Authors’note:MBandJAareemployedatMINDResearchIns8tute,whoseinterestisrelatedtothiswork.SMJhasanindirectfinancialinterestinMINDResearchIns8tute.

§  TraininggainswerecalculatedfortheWorkingMemoryTraining(WMT)groupbysubtractingtheaverageofthefirsttworoundsfromtheaverageofthelasttworounds(allgameswereaveragedtogether).§  Alinearregressionwasthenfitwith6ofourrelevantoutcomemeasures.§  FuturemodelscouldalsotakeintoaccountstartinglevelsincetherecouldbeaceilingonWorkingMemoryimprovement.§  Trainingimprovementmayhavedifferentpredictivepowerfordifferenttypesofmeasures.Forexample,SpellingabilityisnotexpectedtoimprovewithWMT,andinfactthereisverylittlepredictivepowerofWMTgainson

Spellingimprovement.§  ItisalsoofinterestthatDotCountingandUpdatingareneartransfermeasureswhereasreadingfluency(RF)andReadingEfficiency(RE)arefartransfermeasures.WhatkindofmeasuresaremorepredictedbyWMT

improvement?§  Furtheranalysiscouldalsohelpusseewhetherotherfactorssuchasgender,age,orSEScouldimprovethepredictivepowerofWMTimprovementondifferentmeasures.

§  34students(4thand5thgrade)trainedfor15minuteseverydayonthreedifferentworkingmemorytasks(right)for10dayseach

§  BeforeandaLertraining,subjectstookabaOeryofworkingmemoryandreadingteststomeasureimprovement.

§  DataCollec8onisongoing.§  Transferofworkingmemorytrainingtoreadingabilitywillbeassessedupon

comple8onofdatacollec8on.

SubjectTrainingImprovement

Transfertonon-trainedtasks(nearandfar)

Predictionmodels

Contact [email protected]||[email protected]||[email protected]

DotCoun8ngP=0.0075

DotCoun8ngisaSpanTaskthatismeasuredbyhavingsubjectscountandremembersetsofdots.

r2=.23

ReadingFluency

P=0.0214

ReadingFluencymeasuresReadingComprehensionandspeed.

r2=0.21

AuditoryWordAOackP=0.077

AuditoryWordAOackisadaptedfromasub-measureoftheWoodcockJohnsontestthatmeasuresnon-worddecoding.

r2=.10

Upda8ngP=0.2872

For the upda8ng task, subjectsrememberthe3largestnumbersin an audio list. This requiresthem to con8nually updatewhichnumbersarethelargest.

r2=0.05

Spelling

P=0.5062

Our spelling task measuredsubjects ’ abi l i ty to spel lprogressivelyharderwords.Itisnot expected to improve as aresult of Working Memorytraining.

r2=0.02

ReadingEfficiencyP=0.7763

Reading Efficiency is measuredoncomplexsentences(Hits/HitsRT)

r2=0.003FarT

rans

fer

Nea

rTrans

fer

ControlTrans

fer