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Wie klingt Motivation?
(2018)
Zusammenfassung.Hintergrund/Fragestellung: Während einer erfolgreichen Psychotherapie – so Miller und Rollnick (2013) – initiiert der Therapeut ein lautes Nachdenken über Veränderung (change talk), das eine Verhaltensänderung einleitet und verschiedene Facetten der Motivation eines Patienten spiegelt. Auf den preparatory change talk (desire, ability, reasons, need) folgt der mobilizing change talk (commitment, activation, taking steps) und schließlich die Verhaltensänderung. Die vorliegende Studie ist ein erster Versuch, deutsche Begriffe und Redewendungen zu analysieren, um Therapeuten die Einschätzung der Motivation eines Patienten zu erleichtern. Methodik: Das schrittweise Vorgehen entsprach weitgehend einem in der englischsprachigen Literatur beschriebenen Verfahren zur Einschätzung von Begriffen und Redewendungen hinsichtlich der Motivation eines Sprechers (vgl. Amrhein, 2009): (1) Generierung einer Sammlung relevanter Begriffe und Redewendungen, (2) Einschätzung der Stärke einer Formulierung durch 430 Probanden, (3) Bestimmung der Retestreliabilität anhand der Einschätzungen von 63 Probanden, (4) Kategorisierung von 140 Begriffen und Redewendungen durch drei Experten. Ergebnisse: Die ausgewählten Begriffe und Phrasen lassen sich zuverlässig den von Miller und Rollnick (2013) beschriebenen Kategorien Preparatory Change Talk oder Mobilizing Change Talk zuordnen, κ = .83 (95 % CI, .80 ≤ κ≤ .85), p < .001, und spiegeln darüber hinaus verschiedene Ausprägungen der Motivation eines Sprechers wider. Die Einschätzungen der Stärke einer Formulierung sind jedoch nicht stabil (Retestreliabilität: .21 ≤ rtt ≤.70). Schlussfolgerungen: Die Beachtung typischer Schlüsselwörter kann das richtige Timing einer Intervention erleichtern und darüber hinaus Auskunft über die „Entschlossenheit“ eines Patienten geben. Im Rahmen von Forschungsprojekten könnten auf der Basis erweiterter Sammlungen relevanter Begriffe und Redewendungen Algorithmen entwickelt werden, die eine Einschätzung der Motivation und damit prognostisch bedeutsame Aussagen erlauben.
Meaning-making in the brain has become one of the most intensely discussed topics in cognitive science. Traditional theories on cognition that emphasize abstract symbol manipulations often face a dead end: The symbol grounding problem. The embodiment idea tries to overcome this barrier by assuming that the mind is grounded in sensorimotor experiences. A recent surge in behavioral and brain-imaging studies has therefore focused on the role of the motor cortex in language processing. Concrete, action-related words have received convincing evidence to rely on sensorimotor activation. Abstract concepts, however, still pose a distinct challenge for embodied theories on cognition. Fully embodied abstraction mechanisms were formulated but sensorimotor activation alone seems unlikely to close the explanatory gap. In this respect, the idea of integration areas, such as convergence zones or the ‘hub and spoke’ model, do not only appear like the most promising candidates to account for the discrepancies between concrete and abstract concepts but could also help to unite the field of cognitive science again. The current review identifies milestones in cognitive science research and recent achievements that highlight fundamental challenges, key questions and directions for future research.
Contrary to earlier studies dealing with the cultural identity development of diasporic minorities, this paper assesses the impact of homogeneity on intra-group cohesion and ethnic orientation. To this end, Oromo-Americans, an ethnic group originally located within the national borders of Ethiopia, will be compared to Armenian-Americans, British-Pakistanis and Somali-Americans. Despite different circumstances, all four groups share the experience of displacement owing to war and destitution. Additionally, all groups are confronted with the ramifications of a visible minority status. In the process of comparing these groups, their degrees of homogeneity in regard to language and religion - central aspects of culture and cultural identity - will be examined and juxtaposed at a macro level. Based on the correlative relationship of group homogeneity and social cohesion, I argue that the more homogeneous a group is in terms of language and religion, the more close-knit it will be. Consequently, exiled minorities who share the same language and religion are more likely to develop and retain a strong ethnic orientation than groups who are heterogeneous with regard to language and/or religion.
Studies have evaluated the effectiveness of dual career (DC) support services among student-athletes by examining scholastic performances.
These studies investigated self-reported grades student-athletes or focused on career choices student-athletes made after leaving school. Most of these studies examined scholastic performances cross-sectionally among lower secondary school student-athletes or student-athletes in higher education.
The present longitudinal field study in a quasi-experimental design aims to evaluate the development of scholastic performances among upper secondary school students aged 16-19 by using standardized scholastic assessments and grade points in the subject English over a course of 3-4 years.
A sample of 159 students (54.4% females) at three German Elite Sport Schools (ESS) and three comprehensive schools participated in the study. The sample was split into six groups according to three criteria: (1) students' athletic engagement, (2) school type attendance, and (3) usage of DC support services in secondary school.
Repeated-measurement analyses of variance were conducted in order to evaluate the impact of the three previously mentioned criteria as well as their interaction on the development of scholastic performances.
Findings indicated that the development of English performance levels differ among the six groups.
We argue that natural language can be usefully described as quasi-compositional and we suggest that deep learning-based neural language models bear long-term promise to capture how language conveys meaning. We also note that a successful account of human language processing should explain both the outcome of the comprehension process and the continuous internal processes underlying this performance. These points motivate our discussion of a neural network model of sentence comprehension, the Sentence Gestalt model, which we have used to account for the N400 component of the event-related brain potential (ERP), which tracks meaning processing as it happens in real time. The model, which shares features with recent deep learning-based language models, simulates N400 amplitude as the automatic update of a probabilistic representation of the situation or event described by the sentence, corresponding to a temporal difference learning signal at the level of meaning. We suggest that this process happens relatively automatically, and that sometimes a more-controlled attention-dependent process is necessary for successful comprehension, which may be reflected in the subsequent P600 ERP component. We relate this account to current deep learning models as well as classic linguistic theory, and use it to illustrate a domain general perspective on some specific linguistic operations postulated based on compositional analyses of natural language. This article is part of the theme issue 'Towards mechanistic models of meaning composition'.
Professional development on fostering students’ academic language proficiency across the curriculum
(2019)
This meta-analysis aggregates effects from 10 studies evaluating professional development interventions aimed at qualifying in-service teachers to support their students in mastering academic language skills while teaching their respective subject areas. The analysis of a subset of studies revealed a small non-significant weighted training effect on teachers' cognition (g' = 0.21, SE = 0.14). An effect aggregation including all studies (with 650 teachers) revealed a medium to large weighted overall effect on teachers' classroom practices (g' = 0.71, SE = 0.16). Methodological variables moderated the effect magnitude. Nevertheless, the results suggest professional development is beneficial for improving teachers' practice.
This study examines the discourse basis for referent accessibility and its relation to the choice of referring expressions by children with Autism Spectrum Disorder (ASD) and typically developing children. The aim is to delineate how the linguistic and extra-linguistic context affects referent accessibility to the speaker. The study also examines the degree to which accessibility effects are modulated by cognitive factors such as working memory capacity. In the study, the contrast levels between the referent and a competitor (one contrast/two contrasts) and the syntactic prominence of the referent (subject/object position in the preceding question) were manipulated in an elicited production task. The results provide evidence that the referring expressions of children with ASD correlate with the discourse status of referents to a similar extent as in typically developing controls. All children were more likely to refer with lexical NPs to referents that contrasted on two levels with a highly prominent competitor, compared to referents that contrasted on one level. They were also more likely to produce pronouns for referents previously mentioned in the subject than the object position. The effect of both discourse factors was modulated by the age and working memory capacity of the children with and without ASD. Accordingly, the study suggests that children with ASD do not generally differ from children with typical development in their referential choices when the discourse status of a referent allows them to model the referent's accessibility from their own discourse perspective in a way that is modulated by working memory capacity.
Narcissism is unrelated to using first-person singular pronouns. Whether narcissism is linked to other language use remains unclear. We aimed to identify linguistic markers of narcissism. We applied the Linguistic Inquiry and Word Count to texts (k = 15; N = 4,941). The strongest positive correlates were using words related to sports, second-person pronouns, and swear words. The strongest negative correlates were using anxiety/fear words, tentative words, and words related to sensory/perceptual processes. Effects were small (each |r| < .10).