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[{"key": "dc.contributor.advisor", "value": "Heikkil\u00e4, Riikka", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Koikkalainen, Maija", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2015-10-02T09:03:18Z", "language": "", "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2015-10-02T09:03:18Z", "language": "", "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2015", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.other", "value": "oai:jykdok.linneanet.fi:1496838", "language": null, "element": "identifier", "qualifier": "other", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/47242", "language": "", "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "This study examines how well computerized reading fluency assessment measures correspond to the more traditional pen-and-paper methods; and which computerized measures best discriminate between children poor reading fluency skills and the control group. The study was conducted in Finland among 203 second-graders, i.e. 7-8 year olds. The children were divided into two groups: the at-risk for reading difficulties group and control group, based on their standardized score on word-level fluency test. 36 of the participants placed in the \u2018at-risk\u2019 group, and 167 in the control group. On the course of the study, the participants conducted various tasks in a computerized, interactive GraphoGame learning environment, which recorded their results on the following measures: grapheme-phoneme correspondence, phonological awareness, phonological memory, phonemic length discrimination, short-term memory, rapid automatized naming, receptive vocabulary, word recognition, pseudo-word recognition, spelling, pseudoword spelling and sentence reading fluency (both large and normal letter spacing). They also took part in traditional pen-and-paper tests with the corresponding measures. Pearson correlations and logistic regression analysis were used to study the research questions. The results showed that majority of the computerized measures compared to the traditional measures well. Sentence reading with large letter spacing, word recognition accuracy and rapid automatized naming were found as the strongest discriminators of reading fluency skills between the two groups. The results shed positive light on using computerized methods in reading assessment.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4m\u00e4n tutkimuksen tarkoituksena oli selvitt\u00e4\u00e4, kuinka hyvin lukemisen tietokoneistetut arviointimenetelm\u00e4t vastaavat perinteisi\u00e4 kyn\u00e4-paperi-menetelmi\u00e4, ja mitk\u00e4 tietokoneistetuista mittareista parhaiten erottelevat normaalisti ja heikosti lukevia lapsia toisistaan. Tutkimukseen osallistui 203 oppilasta suomalaisten peruskoulujen 2. luokilta. Lapset jaettiin heikosti lukeviin ja kontrolliryhm\u00e4\u00e4n sanasujuvuustestin perusteella. 36 osallistujaa sijoittui heikosti lukevien ryhm\u00e4\u00e4n ja 167 osallistujaa kontrolliryhm\u00e4\u00e4n. Tutkimuksen aikana osallistujat suorittivat useita teht\u00e4vi\u00e4 interaktiivisessa Ekapeli-oppimisymp\u00e4rist\u00f6ss\u00e4, joka tallensi osallistujien tulokset seuraavien muuttujien osalta: kirjain-\u00e4\u00e4nne vastaavuus, fonologinen tietoisuus, fonologinen muisti, foneemisen keston erottelu, lyhytkestoinen muisti, nopea automaattinen nime\u00e4minen, reseptiivinen sanasto, sanantunnistus, ep\u00e4sanojen tunnistus, kirjoittaminen, ep\u00e4sanojen kirjoittaminen sek\u00e4 lausetason lukusujuvuus (normaaleilla ja suurilla kirjainv\u00e4leill\u00e4). Osallistujat my\u00f6s suorittivat samoja muuttujia vastaavat teht\u00e4v\u00e4t perinteisill\u00e4 kyn\u00e4-paperi-testeill\u00e4. Analyysit tehtiin k\u00e4ytt\u00e4m\u00e4ll\u00e4 Pearsonin korrelaatiokerrointa ja logistista regressioanalyysia. Tulokset osoittivat, ett\u00e4 suurin osa tietokoneistetuista teht\u00e4vist\u00e4 vastasi perinteisi\u00e4 menetelmi\u00e4 hyvin. Lausetason lukemisen sujuvuus suurilla kirjainv\u00e4leill\u00e4, sanantunnistuksen tarkkuus sek\u00e4 nopea automaattinen nime\u00e4minen yhdess\u00e4 erottelivat parhaiten heikosti ja normaalisti lukevia lapsia toisistaan. Tulokset luovat uskoa tietokoneistettujen arviointimenetelmien k\u00e4ytt\u00f6\u00f6nottoon lukemisen arvioinnissa.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted using Plone Publishing form by Maija Koikkalainen (maamkoik) on 2015-10-02 09:03:17.587844. Form: Pro gradu -lomake (https://kirjasto.jyu.fi/julkaisut/julkaisulomakkeet/pro-gradu-lomake). JyX data: [jyx_publishing-allowed (fi) =True]", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija.group@korppi.jyu.fi) on 2015-10-02T09:03:18Z\r\nNo. of bitstreams: 2\r\nURN:NBN:fi:jyu-201510023300.pdf: 611759 bytes, checksum: 54e4880eabbb96ae7cf367e5da84176b (MD5)\r\nlicense.html: 4892 bytes, checksum: 9c8f4e1631920b0001f3a6da1da766d3 (MD5)", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2015-10-02T09:03:18Z (GMT). No. of bitstreams: 2\r\nURN:NBN:fi:jyu-201510023300.pdf: 611759 bytes, checksum: 54e4880eabbb96ae7cf367e5da84176b (MD5)\r\nlicense.html: 4892 bytes, checksum: 9c8f4e1631920b0001f3a6da1da766d3 (MD5)\r\n Previous issue date: 2015", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "1 verkkoaineisto (39 sivua)", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "Lukusujuvuus", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "tietokoneistettu arviointi", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Ekapeli", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Computerized reading fluency assessment : task validity and the strongest discriminators of fluency skills among second-graders", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.title.alternative", "value": "Task validity and the strongest discriminators of fluency skills among second-graders", "language": null, "element": "title", "qualifier": "alternative", "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201510023300", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Yhteiskuntatieteellinen tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Social Sciences", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Psykologian laitos", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Department of Psychology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", 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