This study extends the theory of planned behavior framework by introducing three further variables to explain how behavioral intention and actual behavior are induced by situational factors as well as green advertising from the company. Then, this study has four objectives. First, this study will assess the direct effect of personal factors and contextual factors on learning experience and the direct effect of personal factors on subjective norms. Second, this study will assess the direct effect of learning experience (...) on social cognitive factors for a specific green product. Third, this study will assess the direct effect of social cognitive factors on intention purchasing behavior. Finally, this study will assess the role of green marketing as a moderating variable for the relationship between intention and purchasing behavior. Data used in this study were primary data, which were collected through closed questionnaires with a five-point Likert scale. This study succeeded in obtaining 602 valid data from the results of filling out questionnaires by participants. This study uses the partial least square method with SmartPLS 3.0 for data processing. The result of data processing indicated that outcome expectation, self-efficacy, and subjective norms had significant positive effects on purchase intention for green personal care products. This study also found that the learning experience influenced both outcome expectation and self-efficacy. Although weak, the learning experience was influenced by demographic factors and contextual factors. The demographic factors that affect learning experience were gender and level of education. The contextual factor has a more substantial influence on learning experience in developing consumption-related attitudes to green personal care products than the demographic factor. Finally, this study also found the direct effect of intention on actual purchase behavior and the positive role of green marketing as the moderating variable. (shrink)

Automatic facial expression recognition has now advanced to the point that we are able to apply it to spontaneous expressions. The automated tools enable new research activity in cognitive neuroscience, psychiatry, education, human–machine communication, and human social dynamics. Moreover, automated facial expression analysis enables investigations into facial expression dynamics that were previously intractable by human coding because of the time required to code intensity changes. This article provides an overview on the state of the art in computer vision approaches to (...) facial expression recognition, including methods for characterizing expression dynamics. It then discusses behavioral studies that have employed automatic facial expression recognition to learn new information about the relationships of facial expression to internal state, and reviews the first generation of applications in learning and education that take advantage of the real-time expression signal. (shrink)

In the wake of corporate ethical scandals that have harmed millions of employees and investors, there has been an increase in the number of works written in the last decade, which aim to answer one apparently simple question: what causes unethical behavior, and what can we do, if anything, to prevent similar transgressions in the future? The extensive research around this question is the best proof of its real complexity as the challenge of disentangling the background of ethical behavior has (...) obvious academic and practical interest. This study aims to take a further step toward that goal. Much research has noted the impact of multiple aspects of organizational contexts on individuals’ ethical behavior. However, studies that analyze the impact of organizational learning capability (OLC) on employees’ ethical behavior are few and far between. This was the first aim of this study. The second centered on gaining a deeper understanding of the relationship between OLC and ethical behavior by analyzing the mediating role of employability and organizational commitment. We tested our hypotheses through a structural equation methodology applied to a sample of 641 workers from 166 Spanish consultancy firms and found a positive, direct relationship between OLC and employability, OLC and organizational commitment, employability and organizational commitment, and organizational commitment and ethical behavior. (shrink)

Traditional accounts of the role of learning in evolution have concentrated upon its capacity as a source of fitness to individuals. In this paper I use a case study from invasive species biology—the role of conditioned taste aversion in mitigating the impact of cane toads on the native species of Northern Australia—to highlight a role for learning beyond this—as a source of evolvability to populations. This has two benefits. First, it highlights an otherwise under-appreciated role for learning (...) in evolution that does not rely on social learning as an inheritance channel nor “special” evolutionary processes such as genetic accommodation (both of which many are skeptical about). Second, and more significantly, it makes clear important and interesting parallels between learning and exploratory behaviour in development. These parallels motivate the applicability of results from existing research into learning and learning evolution to our understanding of the evolution of evolvability more generally. (shrink)

We consider a reinforcement learning setting where the learner is given a set of possible models containing the true model. While there are algorithms that are able to successfully learn optimal behavior in this setting, they do so without trying to identify the underlying true model. Indeed, we show that there are cases in which the attempt to find the true model is doomed to failure.

Lifelong learning is crucial for professionals to continuously develop and update their knowledge and skills, and for organizations to create and sustain competitive advantage. In this regard, feedback seeking is a powerful vehicle to gain new knowledge and insights in one’s development and performance. The current research dives deeper in the concept of feedback seeking by investigating the act and use of feedback as well as multiple feedback seeking methods. Leadership as a contextual factor can affect employees’ feedback seeking (...) behavior. As such, this study also explores the role of learning leadership for feedback seeking. Learning leadership supports, facilitates and encourages employees’ professional development. To address these aims, two independent studies were conducted. Study 1 was a quantitative, survey study that investigated the direct relationship between learning leadership and feedback seeking. Study 2 was a qualitative, interview study that explored which concrete learning leadership behaviors were linked to different methods of feedback seeking. The findings confirmed the pivotal role of leaders in employees’ feedback seeking behavior and provided an overview of concrete learning leadership behaviors. (shrink)

This article examines what the rise in machine learning systems might mean for social theory. Focusing on financial markets, in which algorithmic securities trading founded on ML-based decision-making is gaining traction, I discuss the extent to which established sociological notions remain relevant or demand a reconsideration when applied to an ML context. I argue that ML systems have some capacity for agency and for engaging in forms of collective machine behaviour, in which ML systems interact with other machines. However, (...) ML-based collective machine behaviour is irreducible to human decision-making and thereby challenges established sociological notions of financial markets. I argue that such behaviour can nonetheless be analysed through an adaptation of sociological theories of interaction and collective behaviour. (shrink)

The continuing and expanding successes of behavior therapy in the treatment of psychological problems raise important questions about their scientific and philosophical bases. In this paper I examine the claims of Edward Erwin that behaviorism cannot provide an adequate philosophical basis for behavior therapy, contemporary learning theories which exclude cognitive factors as causes of behavior cannot provide an adequate empirical basis for behavior therapy; and learning theories have played only a heuristic role in the development of behavior therapy. (...) And I argue that Erwin's claims rest on two doubtful logical empiricist assumptions about scientific theory and explanation. Using different assumptions, I argue that some of the regularities involving cognitions which seem to govern behavior therapy techniques are analogical extensions of operant learning principles. On this basis I suggest some modifications of Erwin's claim about the philosophical foundations of behavior therapy. (shrink)

Animals routinely adapt to changes in the environment in order to survive. Though reinforcement learning may play a role in such adaptation, it is not clear that it is the only mechanism involved, as it is not well suited to producing rapid, relatively immediate changes in strategies in response to environmental changes. This research proposes that counterfactual reasoning might be an additional mechanism that facilitates change detection. An experiment is conducted in which a task state changes over time and (...) the participants had to detect the changes in order to perform well and gain monetary rewards. A cognitive model is constructed that incorporates reinforcement learning with counterfactual reasoning to help quickly adjust the utility of task strategies in response to changes. The results show that the model can accurately explain human data and that counterfactual reasoning is key to reproducing the various effects observed in this change detection paradigm. (shrink)

Do autistic people read autistic behavior in the same way as neurotypical observers? We consider evidence that suggests autistic-to-autistic interactions demonstrate enabling norms and question the possibilities for neurotypical researchers to learn from autistic social appraisal.

This book reviews how people and animals learn and how their behaviors are later changed as a result of this learning. Nearly all of our behaviors are influenced by prior learning experiences in some way. This book describes some of the most important principles, theories, controversies, and experiments that pertain to learning and behavior that are applicable to many different species and many different learning situations. Many real-world examples and analogies make the concepts and theories more (...) concrete and relevant to the students. In addition, most of the chapters include sections that describe how the theories and principles have been used in the applied field of behavior modification. Each chapter in the seventh edition was updated with new studies and new references that reflect recent developments in the field. The book includes a number of learning aids for students, including a list of learning objectives at the beginning of each chapter, practices quizzes and review questions, and a glossary for all important terms. _Learning & Behavior _covers topics such as classical and operant conditioning, reinforcement schedules, avoidance and punishment, stimulus control, comparative cognition, observational learning, motor skill learning, and choice. Both the classic studies and the most recent developments and trends in the field are explored. Although the behavioral approach is emphasized, many cognitive theories are covered as well along with a chapter on comparative cognition. Upon completing this book readers will be able to:understand the field of learning and discuss real-world applications of learning principles. (shrink)

A thorough survey of the field of learning. _Learning & Behavior_ covers topics such as classical and operant conditioning, reinforcement schedules, avoidance and punishment, stimulus control, comparative cognition, observational learning, motor skill learning, and choice. The book includes thorough coverage of classic studies and the most recent developments and trends, while providing examples of real-world applications of the principles discovered in laboratory research. It also emphasizes the behavioral approach but not exclusively so; many cognitive theories are covered (...) as well, and there is a chapter on comparative cognition. Learning Goals Upon completing this book readers will be able to: Understand the field of learning Discuss real-world applications of learning principles. (shrink)

A critical challenge in robot learning from demonstration is the ability to map the behavior of the trainer onto a robot’s existing repertoire of basic/primitive capabilities. In part, this problem is due to the fact that the observed behavior of the teacher may consist of a combination of the robot’s individual primitives. The problem becomes more complex when the task involves temporal sequences of goals. We introduce an autonomous control architecture that allows for learning of hierarchical task representations, (...) in which: every goal is achieved through a linear superposition of robot primitives and sequencing across goals is achieved through arbitration. We treat learning of the appropriate superposition as a state estimation problem over the space of possible linear fusion weights, inferred through a particle filter. We validate our approach in both simulated and real world environments with a Pioneer 3DX mobile robot. (shrink)

Machine behavior that is based on learning algorithms can be significantly influenced by the exposure to data of different qualities. Up to now, those qualities are solely measured in technical terms, but not in ethical ones, despite the significant role of training and annotation data in supervised machine learning. This is the first study to fill this gap by describing new dimensions of data quality for supervised machine learning applications. Based on the rationale that different social and (...) psychological backgrounds of individuals correlate in practice with different modes of human–computer-interaction, the paper describes from an ethical perspective how varying qualities of behavioral data that individuals leave behind while using digital technologies have socially relevant ramification for the development of machine learning applications. The specific objective of this study is to describe how training data can be selected according to ethical assessments of the behavior it originates from, establishing an innovative filter regime to transition from the big data rationale n = all to a more selective way of processing data for training sets in machine learning. The overarching aim of this research is to promote methods for achieving beneficial machine learning applications that could be widely useful for industry as well as academia. (shrink)

Traditionally, learning organizations face certain constraints related to both exogenous and endogenous factors. This paper models three well-established constraints that employees face while being part of their organizations. One is an explicit constraint on their natural behavior, and two implicit constraints on their endeavor to acquire new knowledge and perform new actions. The implicit constraints, which are elaborated, are related to their relative performance in acquiring new knowledge and by their consecutive actions based on the new knowledge gained. Therefore, (...) this paper attempts to underline such limitations which the agents face under organizational culture and suggest possible strategic initiatives that would effectively counteract such binding limitations to stimulate positive performances from their end. (shrink)

Publication date: 25 October 2017 Source: Author: Iman Khaki, Hamid Erfanian Khanzadeh, Azam Babaki Rad This study aimed to investigate the relationship between talent management and the innovative behavior of employees based on the mediating role of organizational learning. This study is a descriptive study, according to the data collection and analysis methods and, it is a survey, according to the implementation. It was conducted during 2015 to 2016 in Mashhad, Iran. Participants were 147 staffs employed in the information (...) technology organization of Mashhad municipality. Data were collected using three valid and reliable questionnaires. Data were analyzed using SPSS software version 19. According to the main hypothesis of the study, there is a significant relationship between talent management and the innovative behavior of employees, and organizational learning mediates the relationship between talent management and the innovative behavior of employees. Also, according to the minor hypothesis, there is a significant relationship between the components of talent management and innovative behavior and the components of organizational learning can mediate the relationship between talent management and innovative behavior. Organizational learning capability has a significant relationship with innovation and innovative behavior and the organizational learning is a way in which educational and training opportunities for employees can be linked to innovative goals. (shrink)

The human species is more reliant on cultural adaptation than any other species, but it is unclear how observational learning can give rise to the faithful transmission of cultural adaptations. One possibility is that teaching facilitates accurate social transmission by narrowing the range of inferences that learners make. However, there is wide disagreement about how to define teaching, and how to interpret the empirical evidence for teaching across cultures and species. In this article I argue that disputes about the (...) nature and prevalence of teaching across human societies and nonhuman animals are based on a number of deep-rooted theoretical differences between fields, as well as on important differences in how teaching is defined. To reconcile these disparate bodies of research, I review the three major approaches to the study of teaching – mentalistic, culture-based, and functionalist – and outline the research questions about teaching that each addresses. I then argue for a new, integrated framework that differentiates between teaching types according to the specific adaptive problems that each type solves, and apply this framework to restructure current empirical evidence on teaching in humans and nonhuman animals. This integrative framework generates novel insights, with broad implications for the study of the evolution of teaching, including the roles of cognitive constraints and cooperative dilemmas in how and when teaching evolves. Finally, I propose an explanation for why some types of teaching are uniquely human, and discuss new directions for research motivated by this framework. (shrink)

Stanovich & West's target article undervalues the power of implicit learning (particularly reinforcement learning). Implicit learning may allow the learning of more rational responses–and sometimes even generalisation of knowledge–in contexts where explicit, abstract knowledge proves only of limited value, such as for economic decision-making. Four other comments are made.

E-Learning has proliferated throughout the education sector in recent years. Unfortunately, an unintended and undesirable aspect of e-Learning is centered on unethical behavior exhibited by students engaged in technology-facilitated cheating. Interestingly, cheating in e-Learning systems occurs in the social context of the class. Using results from a qualitative field study, the authors investigate the socio-technical dimensions of ethical decision-making in e-Learning systems focusing on individual and situational factors. They developed propositions and provide an in-depth discussion of (...) identified factors. Their findings provide the basis for researchers to develop testable propositions for further empirical investigations and provide insight for educators dealing with the unique challenges of the socio-technical dimensions of ethical behavior in e-Learning systems. (shrink)

Evidence presented in Salmon (2001; Econometrica 69(6) 1597) indicates that typical tests to identify learning behavior in experiments involving normal form games possess little power to reject incorrect models. This paper begins by presenting results from an experiment designed to gather alternative data to overcome this problem. The results from these experiments indicate support for a learning-to-learn or rule learning hypothesis in which subjects change their decision rule over time. These results are then used to construct an (...) adaptive learning model which is intended to mimic more accurately the behavior observed. The final section of the paper presents results from a simple simulation based analysis comparing the performance of this adaptive learning model with that of several standard decision rules in reproducing the choice patterns observed in the experiment. (shrink)

The implementation of inclusive policies is largely dependent on teachers´ willingness to accommodate students with special educational needs (SEN) in mainstream classrooms, which is affected by their perceived competence and attitudes. This study investigated attitudes of pre- and in-service teachers toward students with two types of SEN: challenging behavior and learning difficulties. The three components of attitude (affective, cognitive, and behavioral) were assessed using indirect and direct measures. Results revealed that teachers held negative implicit attitudes toward challenging behavior and (...) learning difficulties, however implicit attitudes did not vary as a function of the type of SEN. Ratings of the stereotypical dimensions warmth and competence and overall ratings of scholastic achievement were affected by professional status and type of SEN. Professional status, implicit attitudes and stereotypical knowledge together explained 52 and 43% of the variance in teachers´ ratings of academic proficiency for students with challenging behavior and learning difficulties, respectively. Results are interpreted within the theoretical framework and implications for teacher training are discussed. (shrink)

RESUMEN Se realizó un estudio con el objetivo de comparar las características de la conducta prosocial en adolescentes con dificultades para aprender y sus pares sin este antecedente. Estuvo integrado por 44 adolescentes, distribuidos en dos grupos. Se emplearon la entrevista semiestructurada, los cuestionarios de Conducta Prosocial, Conducta Antisocial y de Aislamiento y Soledad a los adolescentes. El procesamiento de los datos se realizó a través del SPSS v.15 en español específicamente la prueba U de Mann Withney. Se apreciaron diferencias (...) entre los grupos en cuanto a la influencia familiar. El comportamiento prosocial en ambos grupos no mostró diferencias significativas. La conducta antisocial aportó diferencias significativas con respecto a las dimensiones aislamiento y retraimiento/ansiedad sobre la dimensión de agresividad. Los indicadores de aislamiento y soledad resultaron más elevados en los adolescentes con dificultades para aprender. ABSTRACT The objective of the study was comparing the characteristics of prosocial behavior in adolescents with Difficulties to Learn and their couples without this antecedent. It was integrated by 44 adolescents. They were used the interview, the questionnaires of Prosocial Behavior, Antisocial Behavior and of Isolation and solitude to the adolescents. El prosecution of the data was carried out through the SPSS v.15 in Spanish, specifically the test U of Mann Withney. Differences were appreciated among the groups as for the family influence. The prosocial behavior in both groups didn't show significant differences. The antisocial behavior contributed significant differences with regard to the dimensions isolation and reserve/anxiety over the dimension of aggressiveness. The isolation indicators and solitude were higher in the adolescents with Difficulties to Learn. (shrink)

This paper examines the mechanisms that influence team-level performance, which is critical to organizational effectiveness. It investigates psychological safety, a shared belief that the team is safe for interpersonal risk-taking, and a causal model mediated by learning behavior and efficacy. This model hypothesizes that psychological safety and efficacy are related, which have been believed to be the same-dimension constructs. It also explains the process of how learning behavior affects the team’s efficacy. According to a study of 104 field (...) teams in a multinational enterprise in Korea, psychological safety did not affect team effectiveness. However, when mediated by learning behavior and efficacy, a full mediation effect was found. The result supports a well-known metaphor that psychological safety is the engine of performance, not the fuel. It also explains how individuals contribute to group performance under a psychologically safe climate, enhancing team processes. Based on the findings, this paper suggests theoretical and methodological implications for future research to maximize the effectiveness of teams. (shrink)

Maker education mainly involves “hands-on” as the core concept and combines various educational theories to redefine interactions between learners and teachers in a learning environment. Identification of meaningful “hands-on” behaviors is crucial to evaluate students’ learning performance, although an instructor’s observation of every student is not feasible. However, such observation is possible with the aid of the artificial intelligence image processing technique; the AI learning behavior recognition system can serve as the second eyes of teachers, thus accounting (...) for individual differences. However, in previous studies, learning behavior recognition was applied to the traditional or static classroom. A behavior recognition system for identifying “hands-on” actions in the learning context has still not been developed. Therefore, this study designed a human posture evaluation system, obtained human articulation node information from learning field images, and built a learning behavior recognition model suitable for maker education based on the AI convolutional neural network. A learning behavior model was defined, along with a number of student behavior indexes. Subsequently, the effectiveness of the model and behavior indexes was verified through practical learning activities. The model evaluation results indicated that the proposed model achieved a training accuracy of 0.99 and a model accuracy of 0.83. Thus, the model can be applied to dynamic maker activity learning environments. (shrink)

Teacher education students, as an important reserve in the field of education, their growth and development are related to the future of science, economy, sustainable development of education. Through participation in the educational practice of STEAM, which integrates science, technology, engineering, art, and mathematics is more beneficial for them to acquire 21st century skills like communication, collaboration, learning innovation and critical thinking. However, little has been seen about the use and effectiveness of short videos in STEAM education activities and (...) how they can be used to support and promote teacher education students STEAM learning performance and sustainable inquiry behaviors. Therefore, this study combines the framework of triadic reciprocity determinism theory and technology acceptance theory to propose six research hypotheses and develop a research model to explore the relationship between collaborative self-efficacy, perceived usefulness of short videos, perceived ease of use, STEAM learning performance and teacher education students’ sustainable inquiry behavior. To achieve the purpose of this study, this study used purposive sampling and invited teacher education students from five classes of preschool education at a university in Guangxi Zhuang Autonomous Region, China, to participate in this study. A total of 8 h of instructional guidance was provided over a four-week period, in which participants used short videos for collaborative group learning and independent inquiry and applied STEAM concepts to kindergarten science activities. Participants’ STEAM performance was measured and surveyed during the fourth week. The results of the study validation showed that teacher education students CS-E had a positive effect on the PU and PEOU of short videos; Teacher’s education students PEOU of short videos had a positive effect on usefulness; Teacher’s education students PU and PEOU of short videos had a positive effect on STEAM learning performance; Teacher’s education students’ STEAM learning performance had a positive effect on sustainable inquiry behavior. (shrink)