Extending the global workspace theory to emotion: phenomenality without access

Recent accounts on the global workspace theory suggest that consciousness involves transient formations of functional connections in thalamo-cortico-cortical networks. The level of connectivity in these networks is argued to determine the state of consciousness. Emotions are suggested to play a role in shaping consciousness, but their involvement in the global workspace theory remains elusive. In the present study, the role of emotion in the neural workspace theory of consciousness was scrutinized by investigating, whether unconscious (masked) and conscious (unmasked) display of emotional compared to neutral facial expressions would differentially modulate EEG coherence. EEG coherence was measured by means of computing an average EEG coherence value between the frontal, parietal, and midline scalp sites. Objective awareness checks evidenced that conscious identification of the masked facial expressions was precluded. Analyses revealed reductions in EEG coherence in the lower frequency range for the masked as compared to unmasked neutral facial expressions. Crucially, a decline in EEG coherence was not observed for the emotional facial expressions. In other words, the level of EEG coherence did apparently vary as a function of awareness, but not when emotion was involved. The current finding suggests that EEG coherence is modulated by unconscious emotional processes, which extends common views on the global workspace architecture of consciousness.     

Agency attributions of mental effort during self-regulated learning

Previous results suggest that the monitoring of one’s own performance during self-regulated learning is mediated by self-agency attributions and that these attributions can be influenced by poststudy effort-framing instructions. These results pose a challenge to the study of issues of self-agency in metacognition when the objects of self-regulation are mental operations rather than motor actions that have observable outcomes. When participants studied items in Experiment 1 under time pressure, they invested greater study effort in the easier items in the list. However, the effects of effort framing were the same as when learners typically invest more study effort in the more difficult items: Judgments of learning (JOLs) decreased with effort when instructions biased the attribution of effort to nonagentic sources but increased when they biased attribution to agentic sources. However, the effects of effort framing were constrained by parameters of the study task: Interitem differences in difficulty constrained the attribution of effort to agentic regulation (Experiment 2) whereas interitem differences in the incentive for recall constrained the attribution of effort to nonagentic sources (Experiment 3). The results suggest that the regulation and attribution of effort during self-regulated learning occur within a module that is dissociated from the learner’s superordinate agenda but is sensitive to parameters of the task. A model specifies the stage at which effort framing affects the effort–JOL relationship by biasing the attribution of effort to agentic or nonagentic sources. The potentialities that exist in metacognition for the investigation of issues of self-agency are discussed.     

Personality,self-regulated learning,and academic entitlement

The current study explored the relation between the Big-Five personality domains, self-regulated learning, and academic entitlement. Academic entitlement is defined as the tendency to possess expectations of unearned academic success, unearned/undeserved academic services, and/or the expectation of unrealistic accommodation (Chowning and Campbell in J Indiv Diff 101(4): 982, 2009; Singleton-Jackson et al. in Innov Higher Educ, 2010. doi: 10.1007/s10755-010-9151-y). Academic entitlement is a pervasive problem in today’s university environment (Twenge and Campbell in The narcissism epidemic: living in the age of entitlement. Simon and Schuster, New York, 2009), making it important to understand risk factors for academic entitlement. Previous research on academic entitlement has reported a relation between personality factors and academic entitlement (Chowning and Campbell 2009), and between academic entitlement and self-regulated learning (Achacoso 2002). The current study explores the relations among these three constructs from a multivariate perspective using canonical correlation analysis. Results suggested two significant canonical correlations that accounted for approximately 48% of the variance in the academic entitlement subscales.     

Implementation of training programs in self-regulated learning strategies in Moodle format: results of a experience in higher education

This paper tests the efficacy of an intervention program in virtual format intended to train studying and self-regulation strategies in university students. The aim of this intervention is to promote a series of strategies which allow students to manage their learning processes in a more proficient and autonomous way. The program has been developed in Moodle format and hosted by the Virtual Campus of the University of Oviedo. The present study had a semi-experimental design, included an experimental group (n=167) and a control one (n=206), and used pretest and posttest measures (self-regulated learning strategies' declarative knowledge, self-regulated learning macro-strategy planning-execution-assessment, self-regulated learning strategies on text, surface and deep learning approaches, and academic achievement). Data suggest that the students enrolled in the training program, comparing with students in the control group, showed a significant improvement in their declarative knowledge, general and on text use of learning strategies, increased their deep approach to learning, decreased their use of a surface approach and, in what concerns to academic achievement, statistically significant differences have been found in favour of the experimental group.     

Study preferences for exemplar variability in self-regulated category learning

Increasing exemplar variability during category learning can enhance classification of novel exemplars from studied categories. Four experiments examined whether participants preferred variability when making study choices with the goal of later classifying novel exemplars. In Experiments 1–3, participants were familiarised with exemplars of birds from multiple categories prior to making category-level assessments of learning and subsequent choices about whether to receive more variability or repetitions of exemplars during study. After study, participants classified novel exemplars from studied categories. The majority of participants showed a consistent preference for variability in their study, but choices were not related to category-level assessments of learning. Experiment 4 provided evidence that study preferences were based primarily on theoretical beliefs in that most participants indicated a preference for variability on questionnaires that did not include prior experience with exemplars. Potential directions for theoretical development and applications to education are discussed.     

Adult age differences in self-regulated learning from reading sentences

We examined age differences in the heuristic used to allocate effort in learning information from sentences. Younger and older adults read and reread sentences varying in propositional density for recall, making judgments of learning before producing recall. The allocation of effort in rereading items that were less well learned on the first reading was optimized for sentences of intermediate complexity, especially for older adults. These data support a model of self-regulated learning in which readers reduce the discrepancy between current and optimal states of learning. However, self-regulation, which may be procedure based or rely on an implicit representation of the current state of learning, may be particularly efficient for older adults within a region of proximal learning.     

The sectored foraging field: a novel design to quantify spatial strategies, learning, memory, and emotion

Although Norway rats are naturally gregarious, males typically live alone at some point during adulthood. Different social ecologies often require different learning strategies and also modulate response to stressors and gonadal development. To measure effects of the social environment on the interaction between cognition and emotion during aging, we focused on a natural learning context and devised the sectored foraging field, a progressively difficult spatial navigation task. Here, we describe how this apparatus and protocol permits multiple learning strategies in a minimally stressful environment, enabling finely graded analyses of cognition and emotionality. Male Sprague-Dawley rats living alone throughout adulthood adopted a sex-typic discernible spatial strategy. In contrast, males housed in group contexts utilized an algorithmic kinesthetic strategy, repeating the same motor action until they found food. Removal of food and distal, but not local cues, elicited anxious alertness, particularly in group-housed males. Cognitive performance of group-housed rats subsequent to food and cue removal was significantly impaired, yet enhanced in isolates.     

Considering class-based values related to guardian involvement and the development of self-regulated learning

Conceptions of self-regulated learning are often considered neutral and value-free. As a result, researchers tend to ignore issues of social class. In this analysis, a sociological lens is used to examine some of the class-based values embedded in the literature related to guardian involvement and the development of children’s self-regulated learning. It is well documented that qualities and quantities of guardian involvement differ across class backgrounds. Considering these differences, the kinds of guardian involvement that have been identified for supporting self-regulated learning align with middle-class culture. By endorsing this alignment, the discourse of self-regulated learning can be implicated in the reproduction of class-based normative values. In order to ensure that research and pedagogy related to self-regulated learning are not part of the reproduction of inequality and discrimination in schools, it is important to consider ways this construct is entangled in class politics and power.     

Training of self-regulated learning skills on a social network system

The purpose of this study was to investigate whether self-regulated learning (SRL) skills trained using a social network system (SNS) may be generalized outside the training session. A total of 29 undergraduate students participated in the study. During the training session, students in the experimental group were trained to practice self-regulative thinking skills while using Twitter, an SNS. Students in the control group did not receive a training of SRL skills and simply used Twitter as it was. After the training session, students in both groups worked on their class projects and used Twitter where students interacted with each other. Using a content analysis, student posts or “tweets” on Twitter were analyzed. Students in the experimental group used significantly more SRL skills such as planning and reflecting than those in the control group. Also, students’ metacognitive awareness in the experimental group improved significantly after the training of SRL skills. The implications of the study are herein discussed.     

The relationship between executive functioning and self-regulated learning in Australian children

Executive functioning (EF) and self-regulated learning (SRL) are established predictors of academic achievement, both concurrent and future. Although it has been theorized that EF development enables SRL in early childhood, this directional model remains empirically untested against plausible alternatives. Thus, this study investigated the longitudinal relations between children’s EF and SRL during the transition from kindergarten to Year 1 in an Australian sample to determine the direction and strength of the association between EF and SRL. We compared four directional models and also tested whether EF and SRL can be construed as manifestations of a common factor. Children’s EF was assessed using a battery of tasks tapping working memory, inhibition, and shifting, and their SRL was assessed by teachers using the Checklist of Independent Learning Development. Cross-lagged structural equation modelling analyses were conducted on a longitudinal dataset of 176 children at the end of kindergarten (age M = 5 years, 8 months; SD = 4.02 months), and 1 year later (age M = 6 years, 5 months; SD = 3.65 months). EF predicted SRL longitudinally (β= .58, controlling for kindergarten SRL), consistent with common assumptions, whereas SRL did not predict EF. However, the common factor model also fit the data very well. We concluded that EF and SRL are indeed related concurrently and longitudinally but that further evidence is needed to disambiguate whether EF is best understood as a necessary antecedent of SRL development in early childhood, or whether they reflect the same general construct.     

Isolating metamemory deficits in the self-regulated learning of adults with ADHD

ADHD in adulthood is associated with chronic academic impairments and problems with strategic memory encoding on standardized memory assessments, but little is known about self-regulated learning that might guide intervention. Objective: Examine the contribution of metamemory judgment accuracy and use of learning strategies to self-regulated learning in adults with ADHD, focusing on the use of self-testing. Method: A total of 34 adults with ADHD and 34 matched controls predicted their memory performance and regulated their learning of paired associates. Results: Adults with ADHD were as accurate as controls at predicting memory performance, despite remembering fewer words. By observation and self-report, they were less likely to use self-testing to learn the pairs. Conclusion: Across groups, self-testing was associated with significantly better recall and largely accounted for differences between diagnostic groups. Adults with ADHD often failed to employ a strategy that was associated with improved memory, identifying an intervention target that may improve self-regulated learning.     

Extending the ALCOVE model of category learning to featural stimulus domains

The ALCOVE model of category learning, despite its considerable success in accounting for human performance across a wide range of empirical tasks, is limited by its reliance on spatial stimulus representations. Some stimulus domains are better suited to featural representation, characterizing stimuli in terms of the presence or absence of discrete features, rather than as points in a multidimensional space. We report on empirical data measuring human categorization performance across a featural stimulus domain and show that ALCOVE is unable to capture fundamental qualitative aspects of this performance. In response, a featural version of the ALCOVE model is developed, replacing the spatial stimulus representations that are usually generated by multidimensional scaling with featural representations generated by additive clustering. We demonstrate that this featural version of ALCOVE is able to capture human performance where the spatial model failed, explaining the difference in terms of the contrasting representational assumptions made by the two approaches. Finally, we discuss ways in which the ALCOVE categorization model might be extended further to use “hybrid” representational structures combining spatial and featural components.     

Linking emotion regulation strategies to affective events and negative emotions at work

This study examined the use of specific forms of emotion regulation at work, utilizing Gross’s [Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology 2, 271–299] process-based framework of emotion regulation as a guiding structure. In addition to examining employee self-reported usage of these emotion regulation strategies, we assessed the types of discrete negative emotions and negative affective events associated with their use. Results demonstrated that employees reported using a wide variety of emotion regulation strategies, and that each strategy tended to align with a distinct set of discrete negative emotions and affective events. These findings support expanding the focus of emotion regulation strategies at work beyond the deep acting (i.e., changing feelings) and surface acting (i.e., changing expressions) distinction. The results also suggest that focusing on specific strategies, rather than categories of emotion regulation, could enhance understanding of how employees manage their emotions at work.     

Linking emotion regulation strategies to affective events and negative emotions at work

This study examined the use of specific forms of emotion regulation at work, utilizing Gross’s [Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology 2, 271–299] process-based framework of emotion regulation as a guiding structure. In addition to examining employee self-reported usage of these emotion regulation strategies, we assessed the types of discrete negative emotions and negative affective events associated with their use. Results demonstrated that employees reported using a wide variety of emotion regulation strategies, and that each strategy tended to align with a distinct set of discrete negative emotions and affective events. These findings support expanding the focus of emotion regulation strategies at work beyond the deep acting (i.e., changing feelings) and surface acting (i.e., changing expressions) distinction. The results also suggest that focusing on specific strategies, rather than categories of emotion regulation, could enhance understanding of how employees manage their emotions at work.     

Performance and learning goals for emotion regulation

Goal orientation theory is concerned with performance and learning goals in academic, athletic, and other ability areas. Here we examine performance and learning goals for emotion regulation. We define performance goals for emotion regulation as seeking to prove one’s ability to manage emotions; learning goals for emotion regulation are defined as seeking to improve one’s ability to manage emotions. In two studies, we tested the hypothesis that performance goals for emotion regulation would be associated with greater use of defensive emotion regulation strategies and depressive symptoms. Results from both studies showed that individuals with greater performance goals for emotion regulation reported higher levels of rumination and thought suppression and greater depressive symptoms, while individuals with greater learning goals reported greater use of cognitive reappraisal. The findings suggest that goals for emotion regulation may help explain individual differences in use of defensive versus constructive emotion regulation strategies.     

The effect of emotion regulation strategies on anger

This study examined the effects of different emotion regulation strategies on the experience and expression of anger. Participants consisted of undergraduate students who endorsed at least a moderate level of state anger. As part of a laboratory experiment, they were instructed to reappraise (n = 24), suppress (n = 24), or accept (n = 25) their anger during a frustrating task. Reappraisal was more effective at reducing anger than attempts to suppress or accept it. Furthermore, participants in the reappraisal condition persisted significantly longer with the frustrating task than those who were instructed to suppress or accept their negative feelings. These findings suggest that reappraisal techniques are more effective than acceptance and suppression techniques for modulating the experience and expression of anger.     

Achieving effective learning effects in the blended course: a combined approach of online self-regulated learning and collaborative learning with initiation

In many countries, undergraduates are required to take at least one introductory computer course to enhance their computer literacy and computing skills. However, the application software education in Taiwan can hardly be deemed as effective in developing students' practical computing skills. The author applied online self-regulated learning (SRL) and collaborative learning (CL) with initiation in a blended computing course and examined the effects of different combinations on enhancing students' computing skills. Four classes, comprising 221 students, participated in this study. The online SRL and CL with initiation (G1, n?=?53), online CL with initiation (G2, n?=?68), and online CL without initiation (G3, n?=?68) were experimental groups, and the last class, receiving traditional lecture (G4, n?=?32), was the control group. The results of this study show that students who received the intervention of online SRL and CL with initiation attained significantly best grades for practical computing skills, whereas those that received the traditional lectures had statistically poorest grades among the four classes. The implications for schools and educators who plan to provide online or blended learning for their students, particularly in computing courses, are also provided in this study.     

Bimodal emotion congruency is critical to preverbal infants’ abstract rule learning

Extracting general rules from specific examples is important, as we must face the same challenge displayed in various formats. Previous studies have found that bimodal presentation of grammar‐like rules (e.g. ABA) enhanced 5‐month‐olds’ capacity to acquire a rule that infants failed to learn when the rule was presented with visual presentation of the shapes alone (circle‐triangle‐circle) or auditory presentation of the syllables (la‐ba‐la) alone. However, the mechanisms and constraints for this bimodal learning facilitation are still unknown. In this study, we used audio‐visual relation congruency between bimodal stimulation to disentangle possible facilitation sources. We exposed 8‐ to 10‐month‐old infants to an AAB sequence consisting of visual faces with affective expressions and/or auditory voices conveying emotions. Our results showed that infants were able to distinguish the learned AAB rule from other novel rules under bimodal stimulation when the affects in audio and visual stimuli were congruently paired (Experiments 1A and 2A). Infants failed to acquire the same rule when audio‐visual stimuli were incongruently matched (Experiment 2B) and when only the visual (Experiment 1B) or the audio (Experiment 1C) stimuli were presented. Our results highlight that bimodal facilitation in infant rule learning is not only dependent on better statistical probability and redundant sensory information, but also the relational congruency of audio‐visual information. A video abstract of this article can be viewed at https://m.youtube.com/watch?v=KYTyjH1k9RQ     

Gender and age differences in emotion regulation strategies and their relationship to depressive symptoms

We examined differences between men and women, and between young, middle and older age adults in emotion regulation strategies (rumination, suppression, reappraisal, problem-solving, acceptance, social support) and the relationships between these strategies and depressive symptoms. Women were more likely than men to report using several different emotion regulation strategies, and these gender differences were significant even after statistically controlling for gender differences in depressive symptoms. Use of most strategies decreased with age, with two exceptions: (1) use of suppression increased with age for women but not for men and (2) use of acceptance did not decrease with age for women. Use of maladaptive strategies was associated with more depressive symptoms in all age groups and both genders, yet, the use of adaptive strategies generally was not related to lower levels depressive symptoms across groups.