Eduardo Cascallar

Biographic Data

ID376265
NAMEEduardo Cascallar
GIVEN NAMESEduardo
FAMILY NAMECascallar
SIGNATURECASCALLAR E
AFFILIATIONSKU Leuven
ORCID0000-0003-2537-3391
VERIFIEDYes
TOTAL WORKS10
TOTAL CITATIONS4
AUTHOR COUNT10
EDITOR COUNT0
FIRST PUBLICATION YEAR2006
LATEST PUBLICATION YEAR2024
H-INDEX1

  • Teacher's social desirability bias and Migrant students

    Open AccessM Constanza Ayala, Andrew Webb et al.ARTICLESocial Science Research2024Cited by: 1References: 63

  • Predicting Effortful Control at 3 Years of Age from Measures of Attention and Home Environment in Infancy

    Open AccessMariel Musso, Sebastián Moyano et al.ARTICLEChildren2023

    Effortful control (EC) is a dimension of temperament that encompass individual differences in self-regulation and the control of reactivity. Much research suggests that EC has a strong foundation on the development of executive attention, but increasing evidence also shows a significant contribution of the rearing environment to individual differences in EC. The aim of the current study was to predict the development of EC at 36 months of age fro…

  • Predicting attribution of letter writing performance in secondary school

    Open AccessMonique Boekaerts, Mariel Musso et al.ARTICLEFrontiers in Education2022

    The learning research literature has identified the complex and multidimensional nature of learning tasks, involving not only (meta) cognitive processes but also affective, linguistic, and behavioral contextualized aspects. The present study aims to analyze the interactions among activated domain-specific information, context-sensitive appraisals, and emotions, and their impact on task engagement as well as task satisfaction and attribution of th…

  • Socio-economic status and academic performance in higher education

    Open AccessCarlos Felipe Rodríguez-Hernández, Eduardo Cascallar et al.ARTICLEEducational Research Review2020

  • Identifying Reliable Predictors of Educational Outcomes Through Machine-Learning Predictive Modeling

    Open AccessMariel Musso, Eduardo Cascallar et al.ARTICLEFrontiers in Education2020

    Results-based financing has guided the development of policies with measurable results improving learning outcomes at micro/macro levels. However, it is then necessary to identify factors which predict early and accurately favorable or challenging conditions for learning. Learning outcomes depend on complex interactions between multiple variables, many of which are not fully understood. The objective was to develop valid and accurate models predi…

  • Predicting key educational outcomes in academic trajectories

    Open AccessMariel Musso, Carlos Rodríguez-Hernández et al.ARTICLEHigher Education2020

    Predicting and understanding different key outcomes in a student’s academic trajectory such as grade point average, academic retention, and degree completion would allow targeted intervention programs in higher education. Most of the predictive models developed for those key outcomes have been based on traditional methodological approaches. However, these models assume linear relationships between variables and do not always yield accurate predic…

  • A meta-analysis of the effects of face-to-face cooperative learning. Do recent studies falsify or verify earlier findings?

    Eva Kyndt, Elisabeth Raes et al.ARTICLEEducational Research Review2013

  • Self-Regulated Learning and the Understanding of Complex Outcomes

    Open AccessMonique Boekaerts, Mariel Musso et al.ARTICLEEducation Research International2012

    Monique Boekaerts 1 and Mariel Musso 2, 3, 4 and Eduardo C. Cascallar 2, 4 1, Center for the Study of Learning and Instruction, Leiden University, The Netherlands 2, Centre for Research on Teaching and Training, Katholieke Universiteit Leuven, Belgium 3, Universidad Argentina de la Empresa, Buenos Aires, Argentina 4, Assessment Group International, USA/Europe, Brussels, BelgiumReceived 29 November 2012; Accepted 29 November 2012This is an open ac…

  • Predicting Mathematical Performance

    Open AccessMariel Musso, Eva Kyndt et al.ARTICLEEducation Research International2012Cited by: 3References: 55

    A substantial number of research studies have investigated the separate influence of working memory, attention, motivation, and learning strategies on mathematical performance and self-regulation in general. There is still little understanding of their impact on performance when taken together, understanding their interactions, and how much each of them contributes to the prediction of mathematical performance. With the emergence of new methodolo…

  • How Far Have We Moved Toward the Integration of Theory and Practice in Self-Regulation?

    Open AccessMonique Boekaerts, Eduardo CascallarARTICLEEducational Psychology Review2006