A meta-cognitive approach to doping in sports: The effects of thought validation on attitudes related to doping

ABSTRACT

To better understand doping-related attitude change, it is important to consider not only the amount of thinking (i.e., elaboration) done by message recipients, but also the favourability of their thoughts in response to the proposal, as well as the perceived validity in their thoughts. The main goal of the present study was to analyse the effects of a meta-cognitive process (i.e., thought validation) on attitudes related to doping. Thus, we randomly assigned participants to read a message either against or in favour of legalising several doping behaviours. Participants listed their thoughts regarding the proposal and indicated the perceived validity in their thoughts, then reported their attitudes. As hypothesised, the message against legalisation elicited more unfavourable thoughts and attitudes than the message in favour of legalisation. Most relevantly, the effects of the message direction on attitudes were greater for participants with higher (vs. lower) levels of thought validity. Furthermore, consistent with the thought validation process, results revealed that thought favourability was a better predictor of attitudes for participants with higher (vs. lower) perceived thought validity, indicating that perceiving one’s thoughts as valid plays an important role in persuasion. These findings provide novel insights for research and interventions regarding doping in sports.     

Heterogeneity in the Effects of College Course Placement

Traditionally colleges have relied on standalone non-credit-bearing developmental education (DE) to support students academically and ensure readiness for college-level courses. As emerging evidence has raised concerns about the effectiveness of DE courses, colleges and states have been experimenting with approaches that place students into credit-bearing coursework more quickly. To better understand which types of students might be most likely to benefit from being placed into college-level math coursework, this study examines heterogeneity in the causal effects of placement into college-level courses using a regression discontinuity design and administrative data from the state of Texas. We focus on student characteristics that are related to academic preparation or might signal a student’s likelihood of success or need for additional support and might therefore be factors considered for placement into college-level courses under “holistic advising” or “multiple measures” initiatives. We find heterogeneity in outcomes for many of the measures we examined. Students who declared an academic major designation, had bachelor’s degree aspirations, tested below college readiness on multiple subjects, were designated as Limited English Proficiency (LEP), and/or were economically disadvantaged status were more likely to benefit from placement into college-level math. Part-time enrollment or being over the age of 21 were associated with reduced benefits from placement into college-level math. We do not find any heterogeneity in outcomes for our high school achievement measure, three or more years of math taken in high school.

     

The reality of virtual worlds: pros and cons of their application to foreign language teaching

This article presents our experience of testing the OpenSim platform as a tool in teaching French to 108 tourism students at Universidad Rey Juan Carlos (Madrid, Spain). The article begins with some theoretical reflections on the behaviour of the student when using a virtual platform by means of an avatar, and with our observations of how this doubling of identity is actually the greatest asset of virtual worlds when we intend to apply them to teaching (1. Introduction). Then we move on to present our goals and method of work (2. Aims and methodology) and to analyse the development of the virtual space or sim, setting out the teaching strategies that were employed in each of the islands we created, and which correspond to reading comprehension, listening comprehension and written expression (3. Metaverse design). In order to assess the language learning results, we also devised tests throughout the experiment, which were repeated one month later. The assessment shows that the process of language acquisition is positive (4. Results analysis). Finally, we demonstrate that the rise of virtual worlds has been backed up by psycholinguistic factors, but at the same time their applicability and sustainability depend on technical aspects and very especially on theoretical and pedagogical tenets which are still to be drawn up (5. Conclusions).     

Phonological working memory, phonological awareness and language in literacy difficulties in Brazilian children

One of the most usual flaws that lead to literacy disability regards cognitive difficulties and alterations some children present in the literacy process. Many studies have found alterations in phonological processing, more specifically in phonological working memory (PWM) and phonological awareness (PA). Therefore, our aim was to identify alterations in skills of phonological working memory, phonological awareness and language (semantic, syntactic and phonological aspects) of Brazilian children with literacy disabilities (age 7–8). They were divided into two groups: (1) Group of Normal Literacy (NL); and (2) Group With Literacy Disabilities (LD). The evaluation comprised tests that assessed general cognitive functions and the skills at stake. The LD presented a poorer performance than the NL in the skills of PWM, PA and language aspects. The factor analysis showed that these skills prevailed in differentiating the groups. Thus, children with literacy disabilities presented deficits in phonological processing and language. These deficits seem to be a result of alterations of the phonological representations and poor language skills that are prior to the literacy period. Consequently, we believe that the early identification of these alterations can be very useful for the prevention of future literacy problems.     

Providing metrics and automatic enhancement for hierarchical taxonomies

Taxonomies enable organising information in a human–machine understandable form, but constructing them for reuse and maintainability remains difficult. The paper presents a formal underpinning to provide quality metrics for a taxonomy under development. It proposes a methodology for semi-automatic building of maintainable taxonomies and outlines key features of the knowledge engineering context where the metrics and methodology are most suitable. The strength of the approach presented is that it is applied during the actual construction of the taxonomy. Users provide terms to describe different domain elements, as well as their attributes, and methodology uses metrics to assess the quality of this input. Changes according to given quality constraints are then proposed during the actual development of the taxonomy.     

Modes of learning and profitability in Colombian and Mexican SMEs

The aim of this study is to analyze the effects of different modes of learning on innovation and profitability in SMEs in two Latin American countries; Mexico and Colombia. The data were obtained using a sample of 250 companies in the industrial sector operating in both countries. Results show that an integrated mode of learning based on internal and external knowledge supported by technological infrastructure have positive and significant effects on the degree of innovation and the profitability in SMEs However this effect appears to be not significantly different from the traditional SMEs mode of learning based mainly on market orientation.     

Green intellectual capital and environmental product innovation: the mediating role of green social capital

Although the importance of intellectual capital has already been highlighted in the management literature, few articles have focused on the importance of its green counterpart, green intellectual capital. Nowadays, when environmental concerns cannot be ignored by firms, it is therefore time to explore the role of green intellectual capital in environmental improvement. For that reason, our research aims to explore the relationships between green intellectual capital components and the environmental performance of the firms. In particular, we try to show the importance of green organizational and social capital in the development of environmental product innovations, which are vital to the development and implementation of environmental strategies since, as scholars have pointed out, they generate some of the greatest environmental impacts. The empirical results show that green organizational capital has an indirect impact on environmental product innovation through green social capital, meaning that the latter is a significant mediator of that relationship, and at the same time emphasizing that informal relationships play a key role in the improvement of the environmental performance of the firm and, more specifically, in the development of environmental product innovations.     

Effects of identical context on visual pattern recognition by pigeons

The effects of identical context on pattern recognition by pigeons for outline drawings of faces were investigated by training pigeons to identify (Experiment 1) and categorize (Experiment 2) these stimuli according to the orientation of the mouth—an upright U shape representing a smiling mouth or an inverted U shape representing a sad mouth. These target stimuli were presented alone (Pair 1), with three dots in a triangular orientation to represent a nose and eyes (Pair 2), and with the face pattern surrounded by an oval (Pair 3). In Experiment 1, the pigeons trained with Pair 1 were most accurate, those trained with Pair 2 were less so, and those trained with Pair 3 failed to acquire the discrimination within eighty 100-trial sessions. The same ordering was found in Experiment 2 for pigeons trained on the three pairs simultaneously. The authors suggest that a contrasting finding in humans, the face superiority effect, might be due to a gain in discriminability resulting from recognition of the pattern as a face. An exemplar model of information processing that excludes linguistic coding accounts for the present results.