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dc.creatorStover, Juliana Beatriz-
dc.creatorFreiberg Hoffmann, Agustín-
dc.creatorde la Iglesia, Guadalupe-
dc.creatorFernandez Liporace, Maria Mercedes-
dc.date2018-01-24T19:27:38Z-
dc.date2018-01-24T19:27:38Z-
dc.date2014-02-
dc.date2018-01-22T14:45:20Z-
dc.date.accessioned2019-04-29T15:43:42Z-
dc.date.available2019-04-29T15:43:42Z-
dc.date.issued2018-01-24T19:27:38Z-
dc.date.issued2018-01-24T19:27:38Z-
dc.date.issued2014-02-
dc.date.issued2018-01-22T14:45:20Z-
dc.identifierStover, Juliana Beatriz; Freiberg Hoffmann, Agustín; de la Iglesia, Guadalupe; Fernandez Liporace, Maria Mercedes; Predicting academic achievement: The role of Motivation and Learning Strategies; Scientific Methodical Center "Scientia Educologica"; Problems of Psychology in the 21st Century; 8; 1; 2-2014; 71-84-
dc.identifier2029-8587-
dc.identifierhttp://hdl.handle.net/11336/34453-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/300469-
dc.descriptionThe aim of this study consists in testing a predictive model of academic achievement including motivation and learning strategies as predictors. Motivation is defined as the energy and the direction of behaviors; it is categorized in three types of motivation –intrinsic, extrinsic and amotivation (Deci & Ryan, 1985). Learning strategies are deliberate operations oriented towards information processing in academic activities (Valle, Barca, González & Núñez, 1999). Several studies analysed the relationship between motivation and learning strategies in high school and college environments. Students with higher academic achievement were intrinsically motivated and used a wider variety of learning strategies more frequently. A non-experimental predictive design was developed. The sample was composed by 459 students (55.2% high-schoolers; 44.8% college students). Data were gathered by means of sociodemographic and academic surveys, and also by the local versions of the Academic Motivation Scale –EMA, Echelle de Motivation en Éducation (Stover, de la Iglesia, Rial Boubeta & Fernández Liporace, 2012; Vallerand, Blais, Briere & Pelletier, 1989) and the Learning and Study Strategies Inventory –LASSI (Stover, Uriel & Fernández Liporace, 2012; Weinstein, Schulte & Palmer, 1987). Several path analyses were carried out to test a hypothetical model to predict academic achievement (Kline, 1998). Results indicated that self-determined motivation explained academic achievement through the use of learning strategies. The final model obtained an excellent fit (χ2=16.523, df= 6, p=0.011; GFI=0.987; AGFI=0.955; SRMR=0.0320; NFI=0.913; IFI=0.943; CFI=0.940). Results are discussed considering Self Determination Theory and previous research.-
dc.descriptionFil: Stover, Juliana Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires; Argentina-
dc.descriptionFil: Freiberg Hoffmann, Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires; Argentina-
dc.descriptionFil: de la Iglesia, Guadalupe. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina-
dc.descriptionFil: Fernandez Liporace, Maria Mercedes. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherScientific Methodical Center "Scientia Educologica"-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectACADEMIC ACHIEVEMENT-
dc.subjectLEARNING STRATEGIES-
dc.subjectMOTIVATION-
dc.subjectSTUDENTS-
dc.subjectPsicología-
dc.subjectPsicología-
dc.subjectCIENCIAS SOCIALES-
dc.titlePredicting academic achievement: The role of Motivation and Learning Strategies-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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