Disentangling empowerment: Considering the role of employee perceptions in adaptive selling

As more jobs require employees to continually learn and adapt, empowering employees to adopt learning goals becomes a competitive advantage. Although research has identified key leadership behaviors that empower employees, the relationship between managers and empowered employees is ongoing and dynamic. Therefore, it is important to understand how key leadership behaviors interact with employees in their current state of empowerment to influence learning and performance. In this paper, we draw from self-determination theory to argue that the way employees perceive a given leadership behavior will differ by dimension of empowerment, and these perceptions impact their intrinsic motivation to learn. Specifically, employees who are high in competence and impact will perceive the leadership behavior of goal clarity as controlling, and be less likely to set learning goals, while those who are high in autonomy and meaning will perceive the same behavior as supportive, and be more likely to set learning goals. In a time-lagged study of 349 salespeople, we find that goal clarity acts as a boundary condition by weakening the relationship between empowerment and learning goal orientation (LGO) for those high on the competence and impact dimensions. As hypothesized, we find that the same behavior of goal clarity actually strengthens the relationship for those high on the autonomy and meaning dimensions. Further, we provide theoretical and empirical evidence that LGO mediates the relationship between empowerment and adaptive selling.     

Are unsupervised neural networks ignorant? Sizing the effect of environmental distributions on unsupervised learning

Learning environmental biases is a rational behavior: by using prior odds, Bayesian networks rapidly became a benchmark in machine learning. Moreover, a growing body of evidence now suggests that humans are using base rate information. Unsupervised connectionist networks are used in computer science for machine learning and in psychology to model human cognition, but it is unclear whether they are sensitive to prior odds. In this paper, we show that hard competitive learners are unable to use environmental biases while recurrent associative memories use frequency of exemplars and categories independently. Hence, it is concluded that recurrent associative memories are more useful than hard competitive networks to model human cognition and have a higher potential in machine learning.     

Gender, academic achievement, and preferences for cooperative, competitive, and individualistic learning among African-American adolescents.

In this study, we investigated the relationships among gender, academic achievement, and student preferences for cooperative, competitive, and individualistic learning in a sample of 136 African-American adolescents enrolled in sixth and seventh grades in a school in Georgia. We used the Learning Preference Scale for Students (LPSS; Barnes, Owens, & Straton, 1978) to measure cooperative, competitive, and individualistic preferences. Three two-way ANOVAs (Gender x Academic Achievement) were conducted, in which the three learning preferences were the dependent variables. Gender had a significant effect on the preference for cooperative learning, with girls reporting a higher preference for this method than boys did. For the other two learning preferences, no significant gender differences were found. Academic achievement did not correlate significantly with any of the three learning preferences. A two-way interaction between gender and academic achievement was observed for competitive learning preferences. Girls' preferences for competition increased as academic achievement increased; boys' preferences for competition decreased as academic achievement increased.     

Lifelong Learning: A Pacification of ‘Know How’

A tendency of previous studies of lifelong learning to focus on learning and learning subjectivities may have led to an underestimation of potential effects in terms of a system of knowledge constitutive processes that operates powerfully to shape our societies. In this paper we explore lifelong learning and practices in the construction of knowledge at the point where a new relationship is being attempted between university courses and workplaces through programmes for learning. Drawing from Foucault and others we argue a strategic relation between discourses of lifelong learning and knowledge practices in such locations. Discourses of lifelong learning appear to support the reaching out of disciplinary practices into the workplace where theoretical knowledge is combined with knowledge derived from work experience, as a new form of knowledge that has use value. Discipline as a modality of power appears reconfigured and multiplied in new power-knowledge constellations which aim to subdue the desire and power of know how. Rather than lifelong learning as learning apparatus and strategy in the promotion of a will to learn as has been suggested elsewhere, we offer an alternative account. Here the promotion of a will to learn articulates with the will to knowledge in part through discourses of lifelong learning. Practices of knowledge constitution support the pacification of know how through its reconfiguration as knowledge that can be codified and mobilized for economic innovation.     

Can brown lemurs (<Emphasis Type="Italic">Eulemur fulvus</Emphasis>) learn to deceive a human competitor?

In the present study we asked whether lemurs could learn to manipulate information in order to deceive a human competitive trainer. Four brown lemurs were trained to communicate about the location of a hidden reward to a cooperative trainer, who rewarded the subject if he indicated the baited bowl. Next, a competitive trainer was introduced who kept the reward for himself if the subject indicated the baited bowl. In a first experiment, sessions were randomly assigned to be with either the cooperative or competitive trainer. No subject was able to show an efficient tactic with both trainers. In a second experiment, the participation of the two trainers was randomized across the trials for each session. When trials were mixed, one subject significantly chose baited location when interacting with the cooperative trainer, and reliably increased his choices of the unbaited location when presented with the competitive trainer. As with most other primate species tested under the same paradigm, associative learning may explain deceptive pointing by lemurs in this study.     

Is a Worried Citizen a Good Citizen? Emotions,Political Information Seeking,and Learning via the Internet

In this study we explore the mediating role of emotions in the process of becoming a politically informed citizen. Contrary to previous studies, we expect that anger and anxiety will have much different effects on this process. We suspect the role of anxiety is somewhat unique even among negative emotions as mediator of the causal effect of political threats on information seeking and learning. In addition, we speculate that anxiety should improve the quality of information seeking, not just its quantity. In one experiment, we induce emotions directly and find that while anger, enthusiasm, and anxiety can lead people to claim they will pay attention to the campaign, anger actually depresses total information seeking. In a second experiment, we examine the impact of realistic political threats and find that exposure triggers several emotions but that only anxiety boosts information seeking and learning.     

Aberrant learning and memory in addiction

Over the past several years, drug addiction has increasingly been accepted to be a disease of the brain as opposed to simply being due to a lack of willpower or personality flaw. Exposure to addictive substances has been shown to create enduring changes in brain structure and function that are thought to underlie the transition to addiction. Specific genetic and environmental vulnerability factors also influence the impact of drugs of abuse on the brain and can enhance the likelihood of becoming an addict. Long-lasting alterations in brain function have been found in neural circuits that are known to be responsible for normal appetitive learning and memory processes and it has been hypothesized that drugs of abuse enhance positive learning and memory about the drug while inhibiting learning about the negative consequences of drug use. Therefore, the addict's behavior becomes increasingly directed towards obtaining and using drugs of abuse, while at the same time developing a poorer ability to stop using, even when the drug is less rewarding or interferes with functioning in other facets of life. In this review we will discuss the clinical evidence that addicted individuals have altered learning and memory and describe the possible neural substrates of this dysfunction. In addition, we will explore the pre-clinical evidence that drugs of abuse cause a progressive disorder of learning and memory, review the molecular and neurobiological changes that may underlie this disorder, determine the genetic and environmental factors that may increase vulnerability to addiction, and suggest potential strategies for treating addiction through manipulations of learning and memory.     

Competitive conflict regulation and informational dependence in peer learning

The present set of studies investigates the role of competitive conflict regulation and informational dependence in peer learning. Previous studies have shown that peer work on identical information produces not only confrontation of viewpoints but also competitive conflict regulation, the latter of which is detrimental for learning. Conversely, working on complementary information produces positive interactions but also informational dependence, and good quality information transmission is needed to foster learning. The present research shows that discussion aids (note‐taking and access to the study materials during discussion), a variable related to the quality of informational input, moderated the relationship between information interdependence and learning. This moderation was mediated by competitive conflict regulation: Students who worked on identical information with discussion aids reported more competitive conflict regulation than those without discussion aids, which in turn reduced learning, a pattern that did not appear for students working on complementary information. Moreover, when students worked on complementary information, the good quality of information transmission elicited by discussion aids led to high levels of learning for all students. Contributions to research on resource interdependence, socio‐cognitive conflict, and peer learning are discussed. Copyright © 2009 John Wiley & Sons, Ltd.     

On the modularity of implicit sequence learning: independent acquisition of spatial, symbolic, and manual sequences

Learning sequential structures is of fundamental importance for a wide variety of human skills. While it has long been debated whether implicit sequence learning is perceptual or response-based, here we propose an alternative framework that cuts across this dichotomy and assumes that sequence learning rests on associative changes that can occur concurrently in distinct processing systems and support the parallel acquisition of multiple uncorrelated sequences. In three experiments we used a serial search task to test critical predictions of this framework. Experiments 1 and 2 showed that participants learnt uncorrelated sequences of auditory letters and manual responses, as well as sequences of visual letters, spatial locations, and manual responses simultaneously, as indicated by a reliable response time (RT) cost incurred by occasional deviants violating either of the sequences. This RT cost was reliable even when participants showing explicit knowledge were excluded. In Experiment 3 learning of spatial and nonspatial sequences was functionally dissociated: whereas a spatio-motor distractor task disrupted learning of location but not of letter sequences, a phonological distractor task had the reverse effect. The distractor tasks thus did not reduce unspecific attentional resources, but selectively disrupted the formation of sequential associations within spatial and nonspatial processing dimensions. These results support the view that implicit sequence learning rests on experience-dependent changes that can occur in parallel in multiple processing systems involved in spatial attention, object recognition, phonological processing, and manual response selection. The resulting dimension-specific sequence representations support independent predictions of what will appear next, where it will appear, and how one will have to respond to it.     

Teaching and Learning Logic in a Virtual Learning Environment

Teaching and learning in a virtual learning environment (VLE)poses some difficulties, but also challenges and opportunitiesto rethink the whole learning process, particularly in abstractsubjects like logic or high level mathematics. On the otherhand, resources and ways to work, now available in VLEs, mightsoon extend to all kinds of environments. In this paper, wewill present experiences at the Open University of Catalonia(UOC), a particular VLE, concerning the whole process of teachinglogic and mathematics. In addition, we will discuss some challengesand we will present some innovation projects allowed by thepresent and near future technologies.     

Faster Teaching via POMDP Planning

Human and automated tutors attempt to choose pedagogical activities that will maximize student learning, informed by their estimates of the student's current knowledge. There has been substantial research on tracking and modeling student learning, but significantly less attention on how to plan teaching actions and how the assumed student model impacts the resulting plans. We frame the problem of optimally selecting teaching actions using a decision‐theoretic approach and show how to formulate teaching as a partially observable Markov decision process planning problem. This framework makes it possible to explore how different assumptions about student learning and behavior should affect the selection of teaching actions. We consider how to apply this framework to concept learning problems, and we present approximate methods for finding optimal teaching actions, given the large state and action spaces that arise in teaching. Through simulations and behavioral experiments, we explore the consequences of choosing teacher actions under different assumed student models. In two concept‐learning tasks, we show that this technique can accelerate learning relative to baseline performance.     

Getting it right by getting it wrong: When learners change languages

When natural language input contains grammatical forms that are used probabilistically and inconsistently, learners will sometimes reproduce the inconsistencies; but sometimes they will instead regularize the use of these forms, introducing consistency in the language that was not present in the input. In this paper we ask what produces such regularization. We conducted three artificial language experiments, varying the use of determiners in the types of inconsistency with which they are used, and also comparing adult and child learners. In Experiment 1 we presented adult learners with scattered inconsistency - the use of multiple determiners varying in frequency in the same context - and found that adults will reproduce these inconsistencies at low levels of scatter, but at very high levels of scatter will regularize the determiner system, producing the most frequent determiner form almost all the time. In Experiment 2 we showed that this is not merely the result of frequency: when determiners are used with low frequencies but in consistent contexts, adults will learn all of the determiners veridically. In Experiment 3 we compared adult and child learners, finding that children will almost always regularize inconsistent forms, whereas adult learners will only regularize the most complex inconsistencies. Taken together, these results suggest that regularization processes in natural language learning, such as those seen in the acquisition of language from non-native speakers or in the formation of young languages, may depend crucially on the nature of language learning by young children.     

The role of histone acetylation in age-associated memory impairment and Alzheimer's disease

Learning and memory are cognitive processes that are tightly regulated. A proper genome-environment interaction is a pre-requisite for cognitive function. Epigenetic processes are central regulators of genome-environment interactions. In line with this, it has been shown that the epigenetic machinery is essential for cognitive function. With a specific focus on histone acetylation, we will discuss recent research in the field of epigenetic mechanisms of learning and memory. We will also specifically address the role of histone acetylation in age-associated memory impairment and Alzheimer's disease and ask the question why targeting the epigenome could be a suitable strategy for neuroprotection and neuroregeneration.     

Social learning in humans and nonhuman animals: theoretical and empirical dissections

The past decade has seen a resurgent, concerted interest in social learning research comparing human and nonhuman animals. In this special issue, we present a synthesis of work that consolidates what is currently known and provides a platform for future research. Consequently, we include both new empirical studies and novel theoretical proposals describing work with both human children and adults and a range of nonhuman animals. In this introduction, we describe the background of this special issue and provide a context for each of the eight articles it contains. We hope such introduction will not only help the reader synthesize the interdisciplinary views that characterize this broad field, but also stimulate development of new methods, concepts, and data.     

Preference‐based Learning of Ideal Solutions in TOPSIS‐like Decision Models

Combining established modelling techniques from multiple‐criteria decision aiding with recent algorithmic advances in the emerging field of preference learning, we propose a new method that can be seen as an adaptive version of TOPSIS, the technique for order preference by similarity to ideal solution decision model (or at least a simplified variant of this model). On the basis of exemplary preference information in the form of pairwise comparisons between alternatives, our method seeks to induce an ‘ideal solution’ that, in conjunction with a weight factor for each criterion, represents the preferences of the decision maker. To this end, we resort to probabilistic models of discrete choice and make use of maximum likelihood inference. First experimental results on suitable preference data suggest that our approach is not only intuitively appealing and interesting from an interpretation point of view but also competitive to state‐of‐the‐art preference learning methods in terms of prediction accuracy. Copyright © 2014 John Wiley & Sons, Ltd.     

Depth of Field: Using photographs and narratives to explore and reflect on ageing

The learning landscape of the higher education environment is changing, with an increased focus over the past decade on how educators might begin to cultivate reflective skills in health professions students. In addition, changing professional requirements demand that health professionals are adequately prepared to practise in today’s complex healthcare systems, including responding to changing demographics of population ageing. In this educational case study, we will share how we (a group of education, medical and nursing academics) developed ‘Depth of Field: Exploring Ageing’ a digital, consumer-driven, interprofessional reflective learning resource that uses photographs, narrative and small-group work to strengthen reflective capacity in current and/or future health professionals.     

Moderate Partisanship as Oscillation

In Watching Sport, Stephen Mumford distinguishes two ways in which sport can be seen. A purist sees it aesthetically while a partisan sees it competitively. But this overlooks the obvious point that most sports fans are neither entirely purist nor entirely partisan. The norm will be some moderate position in between with the purist and partisan as ideal limits. What is then the point of considering these pure aesthetic and pure competitive ways of seeing? In this discussion note, I consider possible accounts of the way in which the moderate spectator watches. After rejecting what I call a pure perception theory and a mixed view, I defend an oscillation theory. This means that the moderate sports fan is one who switches, sometimes rapidly, between the aesthetic and competitive perceptions of sport. A pay-off of this account is that we do not need a further, third way of perceiving sport in order to account for the moderate. It has been explained in terms of our original two forms of perception. This fills a lacuna in Mumford's account.     

Glycine(B) receptor antagonists and partial agonists prevent memory deficits in inhibitory avoidance learning

Activation of N-methyl-d-aspartate (NMDA) receptors has been hypothesized to mediate certain forms of learning and memory. This hypothesis is based on the ability of competitive and uncompetitive NMDA receptor antagonists to disrupt learning. We investigated the effects of glycine site antagonists and partial agonists on deficits of acquisition (learning) and consolidation (memory) in a single trial inhibitory avoidance learning paradigm. Posttraining administration of either hypoxia (exposure to 7% oxygen) or the convulsant drug pentylenetetrazole (PTZ) (45 mg/kg) to mice impaired consolidation without producing neuronal cell death. Pretreatment with the competitive glycine antagonist 7-chlorokynurenic acid (7KYN) and the glycine partial agonists 1-aminocyclopropanecarboxylic acid (ACPC) and (+)HA-966 prevented memory deficits induced by hypoxia and PTZ, but did not affect scopolamine-induced learning impairment. In addition, ACPC prevented consolidation deficits evoked by a nonexcitotoxic concentration of l-trans-pyrrolidine-2, 4-dicarboxylate, a competitive inhibitor of glutamate transport that increases extracellular levels of glutamate. Moreover, (+)HA-966, 7KYN, and ACPC facilitated both acquisition and consolidation of inhibitory avoidance training, an effect that was dose-dependent and reversed by glycine. These results indicate that memory deficits induced by both hypoxia and PTZ involve NMDA receptor activation. Furthermore, the present findings demonstrate that glycine site antagonists and partial agonists prevent memory deficits of inhibitory avoidance learning by affecting consolidation, but not acquisition processes.