Publications by authors named "Nienke van Atteveldt"

In a recent paper, while our overall conclusion remains valid, one specific finding-that there are reciprocal relationships between how Korean students value education, the time they invest in their studies, and their academic achievements-requires correction (Liu et al [...

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Achievement inequality has been on the rise. Globally, students from disadvantaged backgrounds perform worse academically than their peers, even with equal ability. This represents a significant loss of potential and perpetuates inequality.

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Our society faces a great diversity of opportunities for youth. The 10-year Growing Up Together in Society (GUTS) program has the long-term goal to understand which combination of measures best predict societal trajectories, such as school success, mental health, well-being, and developing a sense of belonging in society. Our leading hypothesis is that self-regulation is key to how adolescents successfully navigate the demands of contemporary society.

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Article Synopsis
  • Developmental cognitive neuroscience is growing quickly and studying how children's brains and thinking skills develop over time.
  • Scientists use different methods to look at brain activity, but this text says we should focus more on a method called EEG, which is cheaper and easy to use.
  • EEG can help us see how people's brains behave during social interaction, whether in a lab or in real life, making it a great tool for researchers studying social development.
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This study investigated the neural basis of letter and speech sound (LS) integration in 53 typical readers (35 girls, all White) during the first 2 years of reading education (ages 7-9). Changes in both sensory (multisensory vs unisensory) and linguistic (congruent vs incongruent) aspects of LS integration were examined. The left superior temporal cortex and bilateral inferior frontal cortex showed increasing activation for multisensory over unisensory LS over time, driven by reduced activation to speech sounds.

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In this longitudinal, observational study, following 883 adolescents (aged 11-15 years, grades 6th - 8th) we tracked changes in perceived school motivation and effort across four time points during the two years of remote education in Perú as a consequence of COVID-19 (retrospective reports before the pandemic, May 2020, July 2021, and November 2021). Compared to before the pandemic, levels of perceived school motivation and effort dropped sharply in May 2020 and continued to decrease across 2 years. Perceived school motivation was positively associated with perceived school effort at almost all time points.

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Experiencing school burnout symptoms can have negative consequences for learning. A growth mindset, the belief that human qualities such as intelligence are malleable, has previously been correlated with fewer school burnout symptoms in late adolescents. This might be because adolescents with a stronger growth mindset show more adaptive self-regulation strategies and thereby increasing resilience against academic setbacks.

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Many theories of motivation suggest that motivation and academic achievement reinforce each other over time, yet few longitudinal studies have examined behavioral pathways that may mediate interplay from motivation to achievement. Moreover, empirical studies so far have mostly focused on Western countries. In this study, we first examined whether students' value of education, as a measure of motivation, is reciprocally related to achievement (class rank and self-rated performance) in a sample of junior high schoolers in an East-Asian country (N = 3445, Korean Youth Panel Study).

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Some number-naming systems are less transparent than others. For example, in Dutch, 49 is named "negenenveertig," which translates to "nine and forty," i.e.

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During school closures throughout the COVID-19 pandemic, less support from peers and teachers may have required more autonomous motivation from adolescents. Little is known about factors that could shield against these negative effects. Driven by two influential motivational theories, we examined how mindset, feelings of school burnout and the three basic psychological needs of the self-determination theory, could predict changes in autonomous motivation when controlling for pre-pandemic levels of motivation.

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Background: Although past research demonstrated growth mindset interventions to improve school outcomes, effects were small. This may be due to the theoretical nature of psychosocial techniques (e.g.

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As the field of educational neuroscience continues to grow, questions have emerged regarding the ecological validity and applicability of this research to educational practice. Recent advances in mobile neuroimaging technologies have made it possible to conduct neuroscientific studies directly in naturalistic learning environments. We propose that embedding mobile neuroimaging research in a cycle (Matusz, Dikker, Huth, & Perrodin, 2019), involving lab-based, seminaturalistic, and fully naturalistic experiments, is well suited for addressing educational questions.

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Important adolescents' career-related decisions might be influenced by their beliefs about malleability of intelligence and learning (mindset). We combined quantitative and qualitative data to provide in-depth insights in the beliefs that 13-14-year-olds hold about learning and intelligence, the factors influencing these beliefs, and the consequences of these beliefs in relation to classroom behaviour and study choices. To establish students' mindsets quantitatively, we categorised theory of intelligence questionnaire (TOI; Dweck, 1999) averaged scores into three levels: entity, intermediate or incremental mindsets, to provide insight into the distribution of the different mindset types in our sample (N = 492).

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The different ways students deal with mistakes is an integral part of mindset theory. While previous error-monitoring studies found supporting neural evidence for mindset-related differences, they may have been confounded by overlapping stimulus processing. We therefore investigated the relationship between mindset and event-related potentials (ERPs) of error-monitoring (response-locked Ne, Pe), with and without overlap correction.

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Objective: Recent findings suggest that diminished processing of positive contextual information about others during interactions may contribute to social impairment in the schizophrenia spectrum. This could be due to general social context processing deficits or specific biases against positive information. We studied the impact of positive and negative social contextual information during social interactions using functional neuroimaging and probed whether these neural mechanisms were associated with real-life social functioning in schizophrenia spectrum disorders.

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Capturing developmental and learning-induced brain dynamics is extremely challenging as changes occur interactively across multiple levels and emerging functions. Different levels include the (social) environment, cognitive and behavioral levels, structural and functional brain changes, and genetics, while functions include domains such as math, reading, and executive function. Here, we report the insights that emerged from the workshop “Capturing Developmental Brain Dynamics”, organized to bring together multidisciplinary approaches to integrate data on development and learning across different levels, functions, and time points.

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Education is indispensable for the flourishing of people from all backgrounds and stages of life. However, given the accelerating demographic, environmental, economical, socio-political, and technological changes—and their associated risks and opportunities—there is increasing consensus that our current educational systems are falling short and that we need to repurpose education and rethink the organization of learning to meet the challenges of the 21st century. The United Nations Educational Scientific and Cultural Organization (UNESCO) “Futures of Education” initiative was formally launched at the United Nations General Assembly in 2019 to provide such a vision of education for the future.

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The special issue resulting from the 2018 Earli-SIG22 conference reflects the current state of the field, the diversity of methods, the persevering limitations and promising directions towards solutions. About half of the empirical papers in this special issue that consist of three parts, uses behavioral, self-report or qualitative measures to understand the "mind" level of . The other half investigates the "brain" level, using neuroimaging but also genetics or eye-tracking to gain access to the wider range of biological substrates of learning and cognition.

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Brain researchers used to study the workings of the brain only in special laboratories at universities or hospitals. Recently, researchers started using portable devices that people can wear on their heads outside of the laboratory. For example, these devices allow researchers to measure the brain activity of students in classrooms, as they go through the school day.

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We propose a Responsible Research and Innovation (RRI) framework to improve the alignment between mind, brain, and education (MBE) research, the educational practice, and other societal stakeholders. RRI is an approach that has successfully been used in different research fields, but not yet in MBE research. After substantiating the need for, and possibilities of using this framework within MBE research, we report a case study to demonstrate the feasibility and benefits of RRI within an MBE context.

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In alphabetic scripts, learning letter-sound (LS) association (i.e., letter knowledge) is a strong predictor of later reading skills.

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Over the past decade, important insights have been obtained into the neurocognitive development during adolescence. To better understand how these neuroscientific insights impact the real world, we investigated how neuroscience has shaped public perceptions of the "teenage brain" and if these perceptions influence adolescent behavior. When asking to generate free associations with the word "teenage brain," adolescents ( n = 363, M = 14.

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Modern neuroscience research, including neuroimaging techniques such as functional magnetic resonance imaging (fMRI), has provided valuable insights that advanced our understanding of brain development and learning processes significantly. However, there is a lively discussion about whether and how these insights can be meaningful to the educational practice. One of the main challenges is the low ecological validity of neuroimaging studies, making it hard to translate neuroimaging findings to real-life learning situations.

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