48 research outputs found

    Modelling students, academic confidence, personality and academic emotions

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    The research presented here is founded on the Big Five trait approach to personality which has been shown to be related to academic success, students¿ academic confidence or self-efficacy and the emotions related to academic achievement.To explore whether Personality characteristics would be differentially associated with Academic Confidence and both would jointly predict Academic Emotions.A bespoke online platform was used to survey undergraduate students in two Spanish universities. The data was used to assess bivariate correlation and to build Structural EquationModels.A total of 1398 undergraduate students studying Psychology, Primary Education, or Educational Psychology degree programmes completed the validated Spanish version of the Academic Behavioural Confidence scale. Of those, 636 also completed a validated Spanish language scale to assess Personality along the Big Five dimensions and 551 of the 1398 students complete a validated Spanish language scale to assess Academic Emotions. A total of 527 students completed all three scales.The correlations showed that the student Personality traits of Openness, Conscientiousness, Extraversion and Agreeableness were significantly and positively related to their Academic Confidence whilst Neuroticism was negatively correlated with the degree of Academic Confidence. Similarly student Academic Confidence correlated positively with positive Academic Emotions and negatively with negative Academic Emotions. Structural Equation Modelling resulted in a model of excellent fit that linked the personality traits of Conscientiousness and Neuroticism with overall Academic Confidence and Academic Emotion scores. The methodological issues around the findings along with the implications for undergraduate learning and teaching are discussed

    Maternal and paternal parenting styles as a whole: validation of the simple form of the Parenting Style Evaluation Scale

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    La Escala para la Evaluación del Estilo Parental (EEEP) pregunta a los adolescentes sobre los estilos educativos de sus padres por separado (“tu padre” y “tu madre”) o de forma conjunta (“tus padres”), pero solo se ha evaluado la validez en la versión por separado. El objetivo de este trabajo fue evaluar la validez de las inferencias de la versión conjunta. Se reclutó una muestra de 1507 adolescentes, de 12 a 18 años. Se realizaron análisis factoriales exploratorios y confirmatorios en dos submuestras independientes. Después se probó un modelo de ecuaciones estructurales para comprobar la asociación de las subescalas de la EEEP con desenlaces de los adolescentes (optimismo, pesimismo y resultados académicos). Los resultados muestran buenas medidas de ajuste de la estructura del instrumento. Además, las subescalas mostraron asociación con los desenlaces. La EEEP puede ser usada con fiabilidad en su forma conjunta, resultando en una reducción de ítems, los cual es a menudo beneficioso para la investigación

    Coronavirus disease (Covid-19): psychoeducational variables involved in the health emergency

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    This monograph has allowed us to present a psychoeducational view of the effects of the COVID-19 pandemic. We confirm here that research in education contributes its own evidence and specific models for identifying this problem

    Metabolomic-Based Noninvasive Serum Test to Diagnose Nonalcoholic Steatohepatitis: Results From Discovery and Validation Cohorts

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    Nonalcoholic fatty liver disease (NAFLD) is the most common type of chronic liver disease worldwide and includes a broad spectrum of histologic phenotypes, ranging from simple hepatic steatosis or nonalcoholic fatty liver (NAFL) to nonalcoholic steatohepatitis (NASH). While liver biopsy is the reference gold standard for NAFLD diagnosis and staging, it has limitations due to its sampling variability, invasive nature, and high cost. Thus, there is a need for noninvasive biomarkers that are robust, reliable, and cost effective. In this study, we measured 540 lipids and amino acids in serum samples from biopsy-proven subjects with normal liver (NL), NAFL, and NASH. Using logistic regression analysis, we identified two panels of triglycerides that could first discriminate between NAFLD and NL and second between NASH and NAFL. These noninvasive tests were compared to blinded histology as a reference standard. We performed these tests in an original cohort of 467 patients with NAFLD (90 NL, 246 NAFL, and 131 NASH) that was subsequently validated in a separate cohort of 192 patients (7 NL, 109 NAFL, 76 NASH). The diagnostic performances of the validated tests showed an area under the receiver operating characteristic curve, sensitivity, and specificity of 0.88 +/- 0.05, 0.94, and 0.57, respectively, for the discrimination between NAFLD and NL and 0.79 +/- 0.04, 0.70, and 0.81, respectively, for the discrimination between NASH and NAFL. When the analysis was performed excluding patients with glucose levels >136 mg/dL, the area under the receiver operating characteristic curve for the discrimination between NASH and NAFL increased to 0.81 +/- 0.04 with sensitivity and specificity of 0.73 and 0.80, respectively. Conclusion: The assessed noninvasive lipidomic serum tests distinguish between NAFLD and NL and between NASH and NAFL with high accuracy.Supported by the National Institutes of Health Blueprint for Neuroscience Research (R01AT001576 to S.C.L., J.M.M.), Agencia Estatal de Investigacion of the Ministerio de Economia, Industria y Competitividad (SAF2014-52097R to J.M.M.), CIBER Hepatic and Digestive Diseases and Instituto de Salud Carlos III (PIE14/0003 to J.M.M.), Etorgai 2015-Gobierno Vasco (ER-2015/00015 to R.M., I.M.A., C.A., A.C.), Plan de Promocion de la Innovacion 2015-Diputacion Foral de Bizkaia (6/12/IN/2015/00131 to A.C., C.A.), National Institute of Diabetes and Digestive and Kidney Diseases (RO1DK81410 to A.J.S.), and Czech Ministry of Health (RVO VFN64165 to L.V.)

    Theory of self- vs. externally-regulated learningTM: fundamentals, evidence, and applicability

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    The Theory of Self- vs. Externally-Regulated LearningTM has integrated the variables of SRL theory, the DEDEPRO model, and the 3P model. This new Theory has proposed: (a) in general, the importance of the cyclical model of individual self-regulation (SR) and of external regulation stemming from the context (ER), as two different and complementary variables, both in combination and in interaction; (b) specifically, in the teaching-learning context, the relevance of different types of combinations between levels of self-regulation (SR) and of external regulation (ER) in the prediction of self-regulated learning (SRL), and of cognitive-emotional achievement. This review analyzes the assumptions, conceptual elements, empirical evidence, benefits and limitations of SRL vs. ERL Theory. Finally, professional fields of application and future lines of research are suggested

    Conocimientos psicológicos, competencia conductual y estilo docente

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    Entre las distintas variables que intervienen en el proceso de instrucción, cada vez se le presta mayor atención al papel que la personalidad del profesor y su estilo de interacción en el aula, tienen en dicho proceso (Getzels y Jackson, 1963). Por otra parte, dado que hay suficiente evidencia empírica de que las ideas y creencias estables del profesor inciden directamente en los análisis explicativos que realiza (Schneider y Grasha, 1983), adquiere especial interés el estudio de los conocimientos y concepciones explicativas sobre los comportamientosde sus alumnos. En la presente investigación se evaluó en un grupo de 19 profesores, 1. sus conocimientos e interpretaciones sobre el comportamiento, 2. las estrategias que utilizaban en la resolución de problemas comportamentales en el aula, 3. la percepción que tenían sobre la gravedad de las conductas disruptivas y,4. la percepción que tenían de la eficacia de las estrategia que utilizaban. Tras la aplicación de un programa de entrenamiento en la resolución de problemas de comportamiento en el aula, se volvieron a evaluar las variables anteriores. Se presentan y discuten los resultados, analizando sus implicaciones sobre los estilos docentes
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