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dc.contributor.authorChristoforou, Christoforos
dc.contributor.authorKtisti, Christiana
dc.contributor.authorRichardson, Ulla
dc.contributor.authorPapadopoulos, Timothy C.
dc.date.accessioned2024-01-11T09:58:13Z
dc.date.available2024-01-11T09:58:13Z
dc.date.issued2023
dc.identifier.citationChristoforou, C., Ktisti, C., Richardson, U., & Papadopoulos, T. C. (2023). Microgenetic Analysis of Reading Remediation : A Novel Computational Framework. <i>Advances in Cognitive Psychology</i>, <i>19</i>(3), 297-315. <a href="https://doi.org/10.5709/acp-0400-6" target="_blank">https://doi.org/10.5709/acp-0400-6</a>
dc.identifier.otherCONVID_194559346
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/92674
dc.description.abstractReading intervention program efficacy is usually determined by comparing participants’ performance to controls on dependent measures at pre-, mid-, and post-intervention assessments. However, little is known about how learning progresses during different stages of the intervention. This lack of knowledge can be attributed to the absence of appropriate computational frameworks to encode, analyze, and capture such dynamics. We propose a novel computational framework to capture learning process dynamics during the intervention by analyzing microgenetic data. The framework addresses the problem of encoding microgenetic data into a common data rep resentation model, introduces four information-theoretic metrics to capture the instantaneous developmental learning stages of groups and individuals, and provides the mathematical model to analyze those metrics for the study of learning stages during the intervention. We used data from a longitudinal reading remediation study involving 56 Greek-speaking 6-year-old children to demonstrate the framework’s utility. Results showed that the framework functions as a new tool to explore the modulation in learning stages during the intervention, better understand how reading occurs, and how reading disability may be adequately treated.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherUniversity of Economics and Human Sciences in Warsaw
dc.relation.ispartofseriesAdvances in Cognitive Psychology
dc.rightsCC BY-NC-ND 4.0
dc.subject.othermicrogenetic analysis
dc.subject.othercomputational models
dc.subject.otherreading remediation
dc.titleMicrogenetic Analysis of Reading Remediation : A Novel Computational Framework
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202401111175
dc.contributor.laitosSoveltavan kielentutkimuksen keskusfi
dc.contributor.laitosCentre for Applied Language Studiesen
dc.contributor.oppiaineSoveltava kielentutkimusfi
dc.contributor.oppiaineApplied language studiesen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange297-315
dc.relation.issn1895-1171
dc.relation.numberinseries3
dc.relation.volume19
dc.type.versionpublishedVersion
dc.rights.copyright© Authors 2023
dc.rights.accesslevelopenAccessfi
dc.subject.ysooppiminen
dc.subject.ysolukeminen
dc.subject.ysointerventio
dc.subject.ysolukihäiriöt
dc.subject.ysomatemaattiset mallit
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2945
jyx.subject.urihttp://www.yso.fi/onto/yso/p11406
jyx.subject.urihttp://www.yso.fi/onto/yso/p41
jyx.subject.urihttp://www.yso.fi/onto/yso/p5301
jyx.subject.urihttp://www.yso.fi/onto/yso/p11401
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.5709/acp-0400-6
jyx.fundinginformationThis research was supported by a Cyprus Research Promotion Foundation Grant and the European Regional Development Fund (ERDF): EXCELLENCE HUBS/1216/0508 granted to Timothy C. Papadopoulos.
dc.type.okmA1


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