Sample records for action learning action
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Action Learning: Avoiding Conflict or Enabling Action
ERIC Educational Resources Information Center
Corley, Aileen; Thorne, Ann
2006-01-01
Action learning is based on the premise that action and learning are inextricably entwined and it is this potential, to enable action, which has contributed to the growth of action learning within education and management development programmes. However has this growth in action learning lead to an evolution or a dilution of Revan's classical…
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Bringing Action Reflection Learning into Action Learning
ERIC Educational Resources Information Center
Rimanoczy, Isabel; Brown, Carole
2008-01-01
This paper introduces Action Reflection Learning (ARL) as a learning methodology that can contribute to, and enrich, the practice of action learning programs. It describes the Swedish constructivist origins of the model, its evolution and the coded responses that resulted from researching the practice. The paper presents the resulting sixteen ARL…
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ERIC Educational Resources Information Center
1996
These four papers were presented at a symposium on action learning moderated by Lex Dilworth at the 1996 conference of the Academy of Human Resource Development. "Developing an Infrastructure for Individual and Organizational Change: Transfer of Learning from an Action Reflection Learning (ARL) Program" (ARL Inquiry) reports findings…
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ERIC Educational Resources Information Center
Mumford, Alan, Ed.
This book contains 34 papers examining the theory, process, and outcomes of action learning at work. The following papers are included: "An Introduction to the Text" (Alan Mumford); "The Learning Equation" (Reg Revans); "Action Learning as a Vehicle for Learning" (Alan Mumford); "Placing Action Learning and…
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ERIC Educational Resources Information Center
Vince, Russ
2008-01-01
This paper seeks to improve our understanding of the emotional and political dynamics that are generated (and too often avoided) in action learning. The idea at the centre of the paper is a distinction between "learning-in-action" and "learning inaction". The phrase "learning-in-action" represents the value of action…
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Action learning across the decades.
Eason, Ken
2017-05-02
Purpose The purpose of this paper is to explore how action learning concepts were used in two healthcare projects undertaken many decades apart. The specific purpose in both cases was to examine how action learning can contribute to shared learning across key stakeholders in a complex socio-technical system. In each case study, action learning supported joint design programmes and the sharing of perspectives about the complex system under investigation. Design/methodology/approach Two action learning projects are described: first, the Hospital Internal Communications (HIC) project led by Reg Revans in the 1960s. Senior staff in ten London hospitals formed action learning teams to address communication issues. Second, in the Better Outcomes for People with Learning Disabilities: Transforming Care (BOLDTC) project, videoconferencing equipment enabled people with learning disabilities to increase their opportunities to communicate. A mutual learning process was established to enable stakeholders to explore the potential of the technical system to improve individual care. Findings The HIC project demonstrated the importance of evidence being shared between team members and that action had to engage the larger healthcare system outside the hospital. The BOLDTC project confirmed the continuing relevance of action learning to healthcare today. Mutual learning was achieved between health and social care specialists and technologists. Originality/value This work draws together the socio-technical systems tradition (considering both social and technical issues in organisations) and action learning to demonstrate that complex systems development needs to be undertaken as a learning process in which action provides the fuel for learning and design.
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ERIC Educational Resources Information Center
Marquardt, Michael J.
2015-01-01
Action learning was introduced into China less than 20 years ago, but has rapidly become a valuable tool for organizations seeking to solve problems, develop their leaders, and become learning organizations. This article provides an historical overview of action learning in China, its cultural underpinnings, and five case studies. It concludes…
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Statistical learning in social action contexts.
Monroy, Claire; Meyer, Marlene; Gerson, Sarah; Hunnius, Sabine
2017-01-01
Sensitivity to the regularities and structure contained within sequential, goal-directed actions is an important building block for generating expectations about the actions we observe. Until now, research on statistical learning for actions has solely focused on individual action sequences, but many actions in daily life involve multiple actors in various interaction contexts. The current study is the first to investigate the role of statistical learning in tracking regularities between actions performed by different actors, and whether the social context characterizing their interaction influences learning. That is, are observers more likely to track regularities across actors if they are perceived as acting jointly as opposed to in parallel? We tested adults and toddlers to explore whether social context guides statistical learning and-if so-whether it does so from early in development. In a between-subjects eye-tracking experiment, participants were primed with a social context cue between two actors who either shared a goal of playing together ('Joint' condition) or stated the intention to act alone ('Parallel' condition). In subsequent videos, the actors performed sequential actions in which, for certain action pairs, the first actor's action reliably predicted the second actor's action. We analyzed predictive eye movements to upcoming actions as a measure of learning, and found that both adults and toddlers learned the statistical regularities across actors when their actions caused an effect. Further, adults with high statistical learning performance were sensitive to social context: those who observed actors with a shared goal were more likely to correctly predict upcoming actions. In contrast, there was no effect of social context in the toddler group, regardless of learning performance. These findings shed light on how adults and toddlers perceive statistical regularities across actors depending on the nature of the observed social situation and the
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Statistical learning in social action contexts
Meyer, Marlene; Gerson, Sarah; Hunnius, Sabine
2017-01-01
Sensitivity to the regularities and structure contained within sequential, goal-directed actions is an important building block for generating expectations about the actions we observe. Until now, research on statistical learning for actions has solely focused on individual action sequences, but many actions in daily life involve multiple actors in various interaction contexts. The current study is the first to investigate the role of statistical learning in tracking regularities between actions performed by different actors, and whether the social context characterizing their interaction influences learning. That is, are observers more likely to track regularities across actors if they are perceived as acting jointly as opposed to in parallel? We tested adults and toddlers to explore whether social context guides statistical learning and—if so—whether it does so from early in development. In a between-subjects eye-tracking experiment, participants were primed with a social context cue between two actors who either shared a goal of playing together (‘Joint’ condition) or stated the intention to act alone (‘Parallel’ condition). In subsequent videos, the actors performed sequential actions in which, for certain action pairs, the first actor’s action reliably predicted the second actor’s action. We analyzed predictive eye movements to upcoming actions as a measure of learning, and found that both adults and toddlers learned the statistical regularities across actors when their actions caused an effect. Further, adults with high statistical learning performance were sensitive to social context: those who observed actors with a shared goal were more likely to correctly predict upcoming actions. In contrast, there was no effect of social context in the toddler group, regardless of learning performance. These findings shed light on how adults and toddlers perceive statistical regularities across actors depending on the nature of the observed social
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ERIC Educational Resources Information Center
Wood, Lesley; Louw, Ina; Zuber-Skerritt, Ortrun
2017-01-01
As supervisors who advocate the transformational potential of research both to generate theory and practical and emancipatory outcomes, we practice participatory action learning and action research (PALAR). This paper offers an illustrative case of how supervision practices based on action learning can foster emancipatory and lifelong learning…
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Action Learning in Undergraduate Engineering Thesis Supervision
ERIC Educational Resources Information Center
Stappenbelt, Brad
2017-01-01
In the present action learning implementation, twelve action learning sets were conducted over eight years. The action learning sets consisted of students involved in undergraduate engineering research thesis work. The concurrent study accompanying this initiative investigated the influence of the action learning environment on student approaches…
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ERIC Educational Resources Information Center
National Association of Secondary School Principals, Reston, VA.
This booklet on action-learning reflects an interest in preparing youth for the world of real experiences. Arranged in two major parts, the first offers information on the background and development of action-learning. Included in this section are the conclusions of the Panel on Youth of the President's Science Advisory Committee, the National…
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ERIC Educational Resources Information Center
Coghlan, David
2013-01-01
The case for the notion of action learning research has been posed and explored in several publications over the past few years. There is no tradition within action learning of understanding it as an approach to research. Within some academic circles, there has been a focus on the "action turn," the development of the notion of actionable…
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Work-based learning using action learning sets.
Rosser, Elizabeth
2016-10-27
Elizabeth Rosser, Deputy Dean (Education and Professional Practice) and Professor of Nursing at Bournemouth University reflects on the concept of action learning, and the benefits of being part of an action learning set.
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Mirroring "meaningful" actions: sensorimotor learning modulates imitation of goal-directed actions.
Catmur, Caroline; Heyes, Cecilia
2017-06-19
Imitation is important in the development of social and technological skills throughout the lifespan. Experiments investigating the acquisition and modulation of imitation (and of its proposed neural substrate, the mirror neuron system) have produced evidence that the capacity for imitation depends on associative learning in which connections are formed between sensory and motor representations of actions. However, evidence that the development of imitation depends on associative learning has been found only for non-goal-directed actions. One reason for the lack of research on goal-directed actions is that imitation of such actions is commonly confounded with the tendency to respond in a spatially compatible manner. However, since the most prominent account of mirror neuron function, and hence of imitation, suggests that these cells encode goal-directed actions, it is important to establish whether sensorimotor learning can also modulate imitation of goal-directed actions. Experiment 1 demonstrated that imitation of goal-directed grasping can be measured while controlling for spatial compatibility, and Experiment 2 showed that this imitation effect can be modulated by sensorimotor training. Together these data support the hypothesis that the capacity for behavioural imitation, and the properties of the mirror neuron system, are constructed in the course of development through associative learning.
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Action Learning as Invigoration
ERIC Educational Resources Information Center
Chivers, Terence S.
2011-01-01
The present account of action learning describes its adoption for pragmatic reasons by the University of the Third Age (U3A). The reason for the existence of this movement is the education of retired people. The account seeks to explain why the action learning method spread from one local U3A to another and across it to other local U3As. The case…
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Its All Action, Its All Learning: Action Learning in SMEs
ERIC Educational Resources Information Center
Clarke, Jean; Thorpe, Richard; Anderson, Lisa; Gold, Jeff
2006-01-01
Purpose: The purpose of this paper is to argue that action learning (AL) may provide a means of successfully developing small to medium-sized enterprises (SMEs). Design/methodology/approach: The literature around SME learning suggests a number of processes are important for SME learning which similarity, it is argued, are encompassed in AL. AL may…
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Monroy, Claire D; Gerson, Sarah A; Hunnius, Sabine
2018-05-01
Humans are sensitive to the statistical regularities in action sequences carried out by others. In the present eyetracking study, we investigated whether this sensitivity can support the prediction of upcoming actions when observing unfamiliar action sequences. In two between-subjects conditions, we examined whether observers would be more sensitive to statistical regularities in sequences performed by a human agent versus self-propelled 'ghost' events. Secondly, we investigated whether regularities are learned better when they are associated with contingent effects. Both implicit and explicit measures of learning were compared between agent and ghost conditions. Implicit learning was measured via predictive eye movements to upcoming actions or events, and explicit learning was measured via both uninstructed reproduction of the action sequences and verbal reports of the regularities. The findings revealed that participants, regardless of condition, readily learned the regularities and made correct predictive eye movements to upcoming events during online observation. However, different patterns of explicit-learning outcomes emerged following observation: Participants were most likely to re-create the sequence regularities and to verbally report them when they had observed an actor create a contingent effect. These results suggest that the shift from implicit predictions to explicit knowledge of what has been learned is facilitated when observers perceive another agent's actions and when these actions cause effects. These findings are discussed with respect to the potential role of the motor system in modulating how statistical regularities are learned and used to modify behavior.
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Impairments in action-outcome learning in schizophrenia.
Morris, Richard W; Cyrzon, Chad; Green, Melissa J; Le Pelley, Mike E; Balleine, Bernard W
2018-03-03
Learning the causal relation between actions and their outcomes (AO learning) is critical for goal-directed behavior when actions are guided by desire for the outcome. This can be contrasted with habits that are acquired by reinforcement and primed by prevailing stimuli, in which causal learning plays no part. Recently, we demonstrated that goal-directed actions are impaired in schizophrenia; however, whether this deficit exists alongside impairments in habit or reinforcement learning is unknown. The present study distinguished deficits in causal learning from reinforcement learning in schizophrenia. We tested people with schizophrenia (SZ, n = 25) and healthy adults (HA, n = 25) in a vending machine task. Participants learned two action-outcome contingencies (e.g., push left to get a chocolate M&M, push right to get a cracker), and they also learned one contingency was degraded by delivery of noncontingent outcomes (e.g., free M&Ms), as well as changes in value by outcome devaluation. Both groups learned the best action to obtain rewards; however, SZ did not distinguish the more causal action when one AO contingency was degraded. Moreover, action selection in SZ was insensitive to changes in outcome value unless feedback was provided, and this was related to the deficit in AO learning. The failure to encode the causal relation between action and outcome in schizophrenia occurred without any apparent deficit in reinforcement learning. This implies that poor goal-directed behavior in schizophrenia cannot be explained by a more primary deficit in reward learning such as insensitivity to reward value or reward prediction errors.
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Notes toward a Philosophy of Action Learning Research
ERIC Educational Resources Information Center
Coghlan, David; Coughlan, Paul
2010-01-01
The philosophical foundations of action learning research have not received a great deal of attention. In the context of action learning postgraduate and professional programmes in universities, articulation of a philosophy of action learning research seems timely and appropriate. This article explores a philosophy of action learning research,…
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NASA Technical Reports Server (NTRS)
HolmesParker, Chris; Taylor, Mathew E.; Tumer, Kagan; Agogino, Adrian
2014-01-01
Learning in multiagent systems can be slow because agents must learn both how to behave in a complex environment and how to account for the actions of other agents. The inability of an agent to distinguish between the true environmental dynamics and those caused by the stochastic exploratory actions of other agents creates noise in each agent's reward signal. This learning noise can have unforeseen and often undesirable effects on the resultant system performance. We define such noise as exploratory action noise, demonstrate the critical impact it can have on the learning process in multiagent settings, and introduce a reward structure to effectively remove such noise from each agent's reward signal. In particular, we introduce Coordinated Learning without Exploratory Action Noise (CLEAN) rewards and empirically demonstrate their benefits
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How Can Action Learning Contribute to Social Capital?
ERIC Educational Resources Information Center
Pedler, Mike; Attwood, Margaret
2011-01-01
This paper explores the contribution that action learning can make to the formation of social capital via experiences of action learning projects in NHS Pathology Services in the UK. The paper describes the development of action learning practice in recent years, reviews the notion of social capital and considers how action learning might…
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From Movements to Actions: Two Mechanisms for Learning Action Sequences
ERIC Educational Resources Information Center
Endress, Ansgar D.; Wood, Justin N.
2011-01-01
When other individuals move, we interpret their movements as discrete, hierarchically-organized, goal-directed actions. However, the mechanisms that integrate visible movement features into actions are poorly understood. Here, we consider two sequence learning mechanisms--transitional probability-based (TP) and position-based encoding…
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Learning to understand others' actions.
Press, Clare; Heyes, Cecilia; Kilner, James M
2011-06-23
Despite nearly two decades of research on mirror neurons, there is still much debate about what they do. The most enduring hypothesis is that they enable 'action understanding'. However, recent critical reviews have failed to find compelling evidence in favour of this view. Instead, these authors argue that mirror neurons are produced by associative learning and therefore that they cannot contribute to action understanding. The present opinion piece suggests that this argument is flawed. We argue that mirror neurons may both develop through associative learning and contribute to inferences about the actions of others.
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Critical Action Learning: Extending Its Reach
ERIC Educational Resources Information Center
Ram, Monder
2012-01-01
The trend to imbue action learning with an explicit conception of criticality appears to be gathering momentum. The idea of critical action learning (CAL) foregrounds the connection between power, emotion and organizing. How this triumvirate of forces relate to each other fundamentally shapes the scope for learning. Theoretical and empirical…
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Learning to understand others' actions
Press, Clare; Heyes, Cecilia; Kilner, James M.
2011-01-01
Despite nearly two decades of research on mirror neurons, there is still much debate about what they do. The most enduring hypothesis is that they enable ‘action understanding’. However, recent critical reviews have failed to find compelling evidence in favour of this view. Instead, these authors argue that mirror neurons are produced by associative learning and therefore that they cannot contribute to action understanding. The present opinion piece suggests that this argument is flawed. We argue that mirror neurons may both develop through associative learning and contribute to inferences about the actions of others. PMID:21084333
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Practicing What We Teach: Using Action Research to Learn about Teaching Action Research
ERIC Educational Resources Information Center
Brown, Barb; Dressler, Roswita; Eaton, Sarah Elaine; Jacobsen, Michele
2015-01-01
In this article, action research is explored as a process for instructor reflection, professional learning and collaboration. The context for the professional learning was the teaching of graduate level education courses in which action research, in conjunction with a cohort-based, collaboratory approach to learning, was used to facilitate…
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The Challenge of Evaluating Action Learning
ERIC Educational Resources Information Center
Edmonstone, John
2015-01-01
The paper examines the benefits claimed for action learning at individual, organisational and inter-organisational levels. It goes on to identify both generic difficulties in evaluating development programmes and action learning specifically. The distinction between formative and summative evaluation is considered and a summative evaluation…
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Leadership development through action learning sets: an evaluation study.
Walia, Surinder; Marks-Maran, Di
2014-11-01
This article examines the use of action learning sets in a leadership module delivered by a university in south east England. An evaluation research study was undertaking using survey method to evaluate student engagement with action learning sets, and their value, impact and sustainability. Data were collected through a questionnaire with a mix of Likert-style and open-ended questions and qualitative and quantitative data analysis was undertaken. Findings show that engagement in the action learning sets was very high. Action learning sets also had a positive impact on the development of leadership knowledge and skills and are highly valued by participants. It is likely that they would be sustainable as the majority would recommend action learning to colleagues and would consider taking another module that used action learning sets. When compared to existing literature on action learning, this study offers new insights as there is little empirical literature on student engagement with action learning sets and even less on value and sustainability. Copyright © 2014 Elsevier Ltd. All rights reserved.
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Virtual Action Learning: Practices and Challenges
ERIC Educational Resources Information Center
Dickenson, Mollie; Burgoyne, John; Pedler, Mike
2010-01-01
This paper reports findings from research that set out to explore virtual action learning (VAL) as an emerging variety of action learning (AL). In bringing together geographically dispersed individuals within and across organizations, and possibly across time, VAL has obvious potential in both educational and commercial contexts. Whilst there is…
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Frank, Cornelia; Schack, Thomas
2017-01-01
Learning in intelligent systems is a result of direct and indirect interaction with the environment. While humans can learn by way of different states of (inter)action such as the execution or the imagery of an action, their unique potential to induce brain- and mind-related changes in the motor action system is still being debated. The systematic repetition of different states of action (e.g., physical and/or mental practice) and their contribution to the learning of complex motor actions has traditionally been approached by way of performance improvements. More recently, approaches highlighting the role of action representation in the learning of complex motor actions have evolved and may provide additional insight into the learning process. In the present perspective paper, we build on brain-related findings and sketch recent research on learning by way of imagery and execution from a hierarchical, perceptual-cognitive approach to motor control and learning. These findings provide insights into the learning of intelligent systems from a perceptual-cognitive, representation-based perspective and as such add to our current understanding of action representation in memory and its changes with practice. Future research should build bridges between approaches in order to more thoroughly understand functional changes throughout the learning process and to facilitate motor learning, which may have particular importance for cognitive systems research in robotics, rehabilitation, and sports. PMID:28588510
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Issues in Action Learning: A Critical Realist Interpretation
ERIC Educational Resources Information Center
Burgoyne, John
2009-01-01
The purpose of this paper is to argue that the perspective of "critical realism" has considerable potential for moving forward the theory and practice of action learning. The paper addresses three questions: (1) Does action learning emphasise the individual or the collective? (2) Can action learning be thought of as critical, but should it also be…
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Defining Success in Action Learning: An International Comparison
ERIC Educational Resources Information Center
Bong, Hyeon-Cheol; Cho, Yonjoo
2017-01-01
Purpose: The purpose of this paper was to explore how the two groups of action learning experts (Korean and non-Korean experts) define success of action learning to see whether there are any cultural differences. To this end, the authors conducted a total of 44 interviews with action learning experts around the world. Research questions guiding…
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Solving Wicked Problems through Action Learning
ERIC Educational Resources Information Center
Crul, Liselore
2014-01-01
This account of practice outlines the Oxyme Action Learning Program which was conducted as part of the Management Challenge in my final year of the MSc in Coaching and Behavioral Change at Henley Business School. The central research questions were: (1) how action learning can help to solve wicked problems and (2) what the effect of an action…
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Using Action Research and Action Learning for Entrepreneurial Network Capability Development
ERIC Educational Resources Information Center
McGrath, Helen; O'Toole, Thomas
2016-01-01
This paper applies an action research (AR) design and action learning (AL) approach to network capability development in an entrepreneurial context. Recent research suggests that networks are a viable strategy for the entrepreneurial firm to overcome the liabilities associated with newness and smallness. However, a gap emerges as few, if any,…
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Action Learning as Relational Practice
ERIC Educational Resources Information Center
Boydell, Tom; Blantern, Chris
2007-01-01
In this paper we propose that all knowledge is made through social processes and is political (of the people involved). If one invests in a relational or historical ontology (a philosophical choice) there are implications for the way action learning is practiced. We illuminate some of these "relational practices". We purport that action learning…
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ERIC Educational Resources Information Center
Leonard, H. Skipton
2015-01-01
Clients and practitioners alike are often confused about the ultimate purpose of action learning (AL). Because of the title of the method, many believe the primary goal of AL is to generate learning. This article clarifies the relationship between action, learning, and solutions. It also provides historical evidence to support the conclusion that…
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Action Learning in ActionAid Nepal: A Case Study
ERIC Educational Resources Information Center
Lustig, Patricia; Rai, Deep Ranjani
2009-01-01
This article describes an example of how action learning was used as a framework for an organisational intervention to fundamentally change the organisational culture over a period of time. It also identifies our learning over that period of time and what worked well (and not so well) in an International Non-Governmental Organisation in Nepal.
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Action and Organizational Learning in an Elevator Company
ERIC Educational Resources Information Center
De Loo, Ivo
2006-01-01
Purpose: To highlight the relevance of management control in action learning programs that aim to foster organizational learning. Design/methodology/approach: Literature review plus case study. The latter consists of archival analysis and multiple interviews. Findings: When action learning programs are built around singular learning experiences,…
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Action Learning for Professionals: A New Approach to Practice
ERIC Educational Resources Information Center
Abbott, Christine; Mayes, Cathy
2014-01-01
Following on from the article "Building Capacity in Social Care: An Evaluation of a National Programme of Action Learning Facilitator Development" (Abbott, C., L. Burtney, and C. Wall. 2013. "Action Learning: Research & Practice" 10 (2): 168--177), this article describes how action learning is being introduced in Cornwall…
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Safe or Unsafe? The Paradox of Action Learning
ERIC Educational Resources Information Center
Robertson, Jane; Bell, Diane
2017-01-01
Business Driven Action Learning (BDAL), as a learning philosophy that attempts to create real value for business is often used by executive education providers in their management development programmes. As the action learning facilitator, I found that the learning that took place during such a management development programme resulted in…
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Perspective Taking Promotes Action Understanding and Learning
ERIC Educational Resources Information Center
Lozano, Sandra C.; Martin Hard, Bridgette; Tversky, Barbara
2006-01-01
People often learn actions by watching others. The authors propose and test the hypothesis that perspective taking promotes encoding a hierarchical representation of an actor's goals and subgoals-a key process for observational learning. Observers segmented videos of an object assembly task into coarse and fine action units. They described what…
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History and Culture of Alara--The Action Learning and Action Research Association
ERIC Educational Resources Information Center
Zuber-Skerritt, Ortrun; Passfield, Ron
2016-01-01
As co-founders of the Action Learning and Action Research Association (ALARA), we tell the story of this international network organisation through our personal experience. Our history traces the evolution of ALARA from origins at the first World Congress in 1990 in Brisbane, Australia, through development over two and a half decades, to its…
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Funamizu, Akihiro; Ito, Makoto; Doya, Kenji; Kanzaki, Ryohei; Takahashi, Hirokazu
2012-01-01
The estimation of reward outcomes for action candidates is essential for decision making. In this study, we examined whether and how the uncertainty in reward outcome estimation affects the action choice and learning rate. We designed a choice task in which rats selected either the left-poking or right-poking hole and received a reward of a food pellet stochastically. The reward probabilities of the left and right holes were chosen from six settings (high, 100% vs. 66%; mid, 66% vs. 33%; low, 33% vs. 0% for the left vs. right holes, and the opposites) in every 20–549 trials. We used Bayesian Q-learning models to estimate the time course of the probability distribution of action values and tested if they better explain the behaviors of rats than standard Q-learning models that estimate only the mean of action values. Model comparison by cross-validation revealed that a Bayesian Q-learning model with an asymmetric update for reward and non-reward outcomes fit the choice time course of the rats best. In the action-choice equation of the Bayesian Q-learning model, the estimated coefficient for the variance of action value was positive, meaning that rats were uncertainty seeking. Further analysis of the Bayesian Q-learning model suggested that the uncertainty facilitated the effective learning rate. These results suggest that the rats consider uncertainty in action-value estimation and that they have an uncertainty-seeking action policy and uncertainty-dependent modulation of the effective learning rate. PMID:22487046
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Desantis, Andrea; Haggard, Patrick
2016-01-01
To maintain a temporally-unified representation of audio and visual features of objects in our environment, the brain recalibrates audio-visual simultaneity. This process allows adjustment for both differences in time of transmission and time for processing of audio and visual signals. In four experiments, we show that the cognitive processes for controlling instrumental actions also have strong influence on audio-visual recalibration. Participants learned that right and left hand button-presses each produced a specific audio-visual stimulus. Following one action the audio preceded the visual stimulus, while for the other action audio lagged vision. In a subsequent test phase, left and right button-press generated either the same audio-visual stimulus as learned initially, or the pair associated with the other action. We observed recalibration of simultaneity only for previously-learned audio-visual outcomes. Thus, learning an action-outcome relation promotes temporal grouping of the audio and visual events within the outcome pair, contributing to the creation of a temporally unified multisensory object. This suggests that learning action-outcome relations and the prediction of perceptual outcomes can provide an integrative temporal structure for our experiences of external events. PMID:27982063
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Desantis, Andrea; Haggard, Patrick
2016-12-16
To maintain a temporally-unified representation of audio and visual features of objects in our environment, the brain recalibrates audio-visual simultaneity. This process allows adjustment for both differences in time of transmission and time for processing of audio and visual signals. In four experiments, we show that the cognitive processes for controlling instrumental actions also have strong influence on audio-visual recalibration. Participants learned that right and left hand button-presses each produced a specific audio-visual stimulus. Following one action the audio preceded the visual stimulus, while for the other action audio lagged vision. In a subsequent test phase, left and right button-press generated either the same audio-visual stimulus as learned initially, or the pair associated with the other action. We observed recalibration of simultaneity only for previously-learned audio-visual outcomes. Thus, learning an action-outcome relation promotes temporal grouping of the audio and visual events within the outcome pair, contributing to the creation of a temporally unified multisensory object. This suggests that learning action-outcome relations and the prediction of perceptual outcomes can provide an integrative temporal structure for our experiences of external events.
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Reflections on a Failed Action Learning Intervention
ERIC Educational Resources Information Center
Oliver, John
2008-01-01
This paper reflects on the failure of a recent action learning intervention with a UK television company. The aim of the project was to gain insight into the reasons why the viewing figures of their factual programming channels were in decline and to develop a new strategy enabled by the action learning methodology. Unfortunately, this…
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Multi-agent Reinforcement Learning Model for Effective Action Selection
NASA Astrophysics Data System (ADS)
Youk, Sang Jo; Lee, Bong Keun
Reinforcement learning is a sub area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long-term reward. In the case of multi-agent, especially, which state space and action space gets very enormous in compared to single agent, so it needs to take most effective measure available select the action strategy for effective reinforcement learning. This paper proposes a multi-agent reinforcement learning model based on fuzzy inference system in order to improve learning collect speed and select an effective action in multi-agent. This paper verifies an effective action select strategy through evaluation tests based on Robocop Keep away which is one of useful test-beds for multi-agent. Our proposed model can apply to evaluate efficiency of the various intelligent multi-agents and also can apply to strategy and tactics of robot soccer system.
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Funamizu, Akihiro; Ito, Makoto; Doya, Kenji; Kanzaki, Ryohei; Takahashi, Hirokazu
2012-04-01
The estimation of reward outcomes for action candidates is essential for decision making. In this study, we examined whether and how the uncertainty in reward outcome estimation affects the action choice and learning rate. We designed a choice task in which rats selected either the left-poking or right-poking hole and received a reward of a food pellet stochastically. The reward probabilities of the left and right holes were chosen from six settings (high, 100% vs. 66%; mid, 66% vs. 33%; low, 33% vs. 0% for the left vs. right holes, and the opposites) in every 20-549 trials. We used Bayesian Q-learning models to estimate the time course of the probability distribution of action values and tested if they better explain the behaviors of rats than standard Q-learning models that estimate only the mean of action values. Model comparison by cross-validation revealed that a Bayesian Q-learning model with an asymmetric update for reward and non-reward outcomes fit the choice time course of the rats best. In the action-choice equation of the Bayesian Q-learning model, the estimated coefficient for the variance of action value was positive, meaning that rats were uncertainty seeking. Further analysis of the Bayesian Q-learning model suggested that the uncertainty facilitated the effective learning rate. These results suggest that the rats consider uncertainty in action-value estimation and that they have an uncertainty-seeking action policy and uncertainty-dependent modulation of the effective learning rate. © 2012 The Authors. European Journal of Neuroscience © 2012 Federation of European Neuroscience Societies and Blackwell Publishing Ltd.
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Influence of action-effect associations acquired by ideomotor learning on imitation.
Bunlon, Frédérique; Marshall, Peter J; Quandt, Lorna C; Bouquet, Cedric A
2015-01-01
According to the ideomotor theory, actions are represented in terms of their perceptual effects, offering a solution for the correspondence problem of imitation (how to translate the observed action into a corresponding motor output). This effect-based coding of action is assumed to be acquired through action-effect learning. Accordingly, performing an action leads to the integration of the perceptual codes of the action effects with the motor commands that brought them about. While ideomotor theory is invoked to account for imitation, the influence of action-effect learning on imitative behavior remains unexplored. In two experiments, imitative performance was measured in a reaction time task following a phase of action-effect acquisition. During action-effect acquisition, participants freely executed a finger movement (index or little finger lifting), and then observed a similar (compatible learning) or a different (incompatible learning) movement. In Experiment 1, finger movements of left and right hands were presented as action-effects during acquisition. In Experiment 2, only right-hand finger movements were presented during action-effect acquisition and in the imitation task the observed hands were oriented orthogonally to participants' hands in order to avoid spatial congruency effects. Experiments 1 and 2 showed that imitative performance was improved after compatible learning, compared to incompatible learning. In Experiment 2, although action-effect learning involved perception of finger movements of right hand only, imitative capabilities of right- and left-hand finger movements were equally affected. These results indicate that an observed movement stimulus processed as the effect of an action can later prime execution of that action, confirming the ideomotor approach to imitation. We further discuss these findings in relation to previous studies of action-effect learning and in the framework of current ideomotor approaches to imitation.
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Influence of Action-Effect Associations Acquired by Ideomotor Learning on Imitation
Bunlon, Frédérique; Marshall, Peter J.; Quandt, Lorna C.; Bouquet, Cedric A.
2015-01-01
According to the ideomotor theory, actions are represented in terms of their perceptual effects, offering a solution for the correspondence problem of imitation (how to translate the observed action into a corresponding motor output). This effect-based coding of action is assumed to be acquired through action-effect learning. Accordingly, performing an action leads to the integration of the perceptual codes of the action effects with the motor commands that brought them about. While ideomotor theory is invoked to account for imitation, the influence of action-effect learning on imitative behavior remains unexplored. In two experiments, imitative performance was measured in a reaction time task following a phase of action-effect acquisition. During action-effect acquisition, participants freely executed a finger movement (index or little finger lifting), and then observed a similar (compatible learning) or a different (incompatible learning) movement. In Experiment 1, finger movements of left and right hands were presented as action-effects during acquisition. In Experiment 2, only right-hand finger movements were presented during action-effect acquisition and in the imitation task the observed hands were oriented orthogonally to participants’ hands in order to avoid spatial congruency effects. Experiments 1 and 2 showed that imitative performance was improved after compatible learning, compared to incompatible learning. In Experiment 2, although action-effect learning involved perception of finger movements of right hand only, imitative capabilities of right- and left-hand finger movements were equally affected. These results indicate that an observed movement stimulus processed as the effect of an action can later prime execution of that action, confirming the ideomotor approach to imitation. We further discuss these findings in relation to previous studies of action-effect learning and in the framework of current ideomotor approaches to imitation. PMID:25793755
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ERIC Educational Resources Information Center
Sanyal, Chandana
2018-01-01
This paper explores the practice of action learning (AL) facilitation in supporting AL set members to address their 'messy' problems through a self-reflexive approach using the concept of 'living theory' [Whitehead, J., and J. McNiff. 2006. "Action Research Living Theory." London: Sage]. The facilitation practice is investigated through…
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Psychological Climates in Action Learning Sets: A Manager's Perspective
ERIC Educational Resources Information Center
Yeadon-Lee, Annie
2015-01-01
Action learning (AL) is often viewed as a process that facilitates professional learning through the creation of a positive psychological climate [Marquardt, M. J. 2000. "Action Learning and Leadership." "The Learning Organisation" 7 (5): 233-240; Schein, E. H. 1979. "Personal Change Through Interpersonal…
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Habits, action sequences, and reinforcement learning
Dezfouli, Amir; Balleine, Bernard W.
2012-01-01
It is now widely accepted that instrumental actions can be either goal-directed or habitual; whereas the former are rapidly acquire and regulated by their outcome, the latter are reflexive, elicited by antecedent stimuli rather than their consequences. Model-based reinforcement learning (RL) provides an elegant description of goal-directed action. Through exposure to states, actions and rewards, the agent rapidly constructs a model of the world and can choose an appropriate action based on quite abstract changes in environmental and evaluative demands. This model is powerful but has a problem explaining the development of habitual actions. To account for habits, theorists have argued that another action controller is required, called model-free RL, that does not form a model of the world but rather caches action values within states allowing a state to select an action based on its reward history rather than its consequences. Nevertheless, there are persistent problems with important predictions from the model; most notably the failure of model-free RL correctly to predict the insensitivity of habitual actions to changes in the action-reward contingency. Here, we suggest that introducing model-free RL in instrumental conditioning is unnecessary and demonstrate that reconceptualizing habits as action sequences allows model-based RL to be applied to both goal-directed and habitual actions in a manner consistent with what real animals do. This approach has significant implications for the way habits are currently investigated and generates new experimental predictions. PMID:22487034
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Civil Society, Adult Learning and Action in India.
ERIC Educational Resources Information Center
Tandon, Rajesh
2000-01-01
Five case studies of individual and collective learning projects in India demonstrate that (1) the impetus for civic action arises from local conditions; (2) transformative action requires sustained adult learning; and (3) civil society is a complex concept reflecting diverse priorities and perspectives. (SK)
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Cross-View Action Recognition via Transferable Dictionary Learning.
Zheng, Jingjing; Jiang, Zhuolin; Chellappa, Rama
2016-05-01
Discriminative appearance features are effective for recognizing actions in a fixed view, but may not generalize well to a new view. In this paper, we present two effective approaches to learn dictionaries for robust action recognition across views. In the first approach, we learn a set of view-specific dictionaries where each dictionary corresponds to one camera view. These dictionaries are learned simultaneously from the sets of correspondence videos taken at different views with the aim of encouraging each video in the set to have the same sparse representation. In the second approach, we additionally learn a common dictionary shared by different views to model view-shared features. This approach represents the videos in each view using a view-specific dictionary and the common dictionary. More importantly, it encourages the set of videos taken from the different views of the same action to have the similar sparse representations. The learned common dictionary not only has the capability to represent actions from unseen views, but also makes our approach effective in a semi-supervised setting where no correspondence videos exist and only a few labeled videos exist in the target view. The extensive experiments using three public datasets demonstrate that the proposed approach outperforms recently developed approaches for cross-view action recognition.
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To Act and Learn: A Bakhtinian Exploration of Action Learning
ERIC Educational Resources Information Center
Gold, Jeff; Anderson, Lisa; Clarke, Jean; Thorpe, Richard
2009-01-01
This paper considers the work of the Russian social philosopher and cultural theorist, Mikhail Mikhailovich Bakhtin as a source of understanding for those involved in action learning. Drawing upon data gathered over two years during the evaluation of 20 action learning sets in the north of England, we will seek to work with the ideas of Bakhtin to…
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Action Learning Enabled Strategy Making
ERIC Educational Resources Information Center
Oliver, John
2008-01-01
Action learning encourages individual reflection, insightful questioning and assumption breaking that result in changes in attitude and behaviour. This learning process provides the potential to explore and solve complex organizational problems such as the question of how to develop a future business strategy. Existing literature on the process of…
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Improving Pedagogy through Action Learning and Scholarship of Teaching and Learning
ERIC Educational Resources Information Center
Albers, Cheryl
2008-01-01
This ASA Teaching Workshop explored the potential of Action Learning to use teachers' tacit knowledge to collaboratively confront pedagogical issues. The Action Learning model grows out of industrial management and is based on the notion that peers are a valuable resource for learning about how to solve the problems encountered in the workplace.…
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Statistical learning of action: the role of conditional probability.
Meyer, Meredith; Baldwin, Dare
2011-12-01
Identification of distinct units within a continuous flow of human action is fundamental to action processing. Such segmentation may rest in part on statistical learning. In a series of four experiments, we examined what types of statistics people can use to segment a continuous stream involving many brief, goal-directed action elements. The results of Experiment 1 showed no evidence for sensitivity to conditional probability, whereas Experiment 2 displayed learning based on joint probability. In Experiment 3, we demonstrated that additional exposure to the input failed to engender sensitivity to conditional probability. However, the results of Experiment 4 showed that a subset of adults-namely, those more successful at identifying actions that had been seen more frequently than comparison sequences-were also successful at learning conditional-probability statistics. These experiments help to clarify the mechanisms subserving processing of intentional action, and they highlight important differences from, as well as similarities to, prior studies of statistical learning in other domains, including language.
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Perceptual learning during action video game playing.
Green, C Shawn; Li, Renjie; Bavelier, Daphne
2010-04-01
Action video games have been shown to enhance behavioral performance on a wide variety of perceptual tasks, from those that require effective allocation of attentional resources across the visual scene, to those that demand the successful identification of fleetingly presented stimuli. Importantly, these effects have not only been shown in expert action video game players, but a causative link has been established between action video game play and enhanced processing through training studies. Although an account based solely on attention fails to capture the variety of enhancements observed after action game playing, a number of models of perceptual learning are consistent with the observed results, with behavioral modeling favoring the hypothesis that avid video game players are better able to form templates for, or extract the relevant statistics of, the task at hand. This may suggest that the neural site of learning is in areas where information is integrated and actions are selected; yet changes in low-level sensory areas cannot be ruled out. Copyright © 2009 Cognitive Science Society, Inc.
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The Evidence for the Effectiveness of Action Learning
ERIC Educational Resources Information Center
Leonard, H. Skipton; Marquardt, Michael J.
2010-01-01
For the past 50 years, organizations and individuals around the world have reported success in their use of action learning programs to solve problems, develop leaders, build teams and transform their corporate cultures. However, very little rigorous research has been conducted to determine the effectiveness of action learning. The authors…
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ERIC Educational Resources Information Center
Coghlan, David; Coughlan, Paul
2006-01-01
Purpose: The purpose of this article is to provide a design and implementation framework for ALAR (action learning action research) programme which aims to address collaborative improvement in the extended manufacturing enterprise. Design/methodology/approach: This article demonstrates the design of a programme in which action learning and action…
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Action Learning and Constructivist Grounded Theory: Powerfully Overlapping Fields of Practice
ERIC Educational Resources Information Center
Rand, Jane
2013-01-01
This paper considers the shared characteristics between action learning (AL) and the research methodology constructivist grounded theory (CGT). Mirroring Edmonstone's [2011. "Action Learning and Organisation Development: Overlapping Fields of Practice." "Action Learning: Research and Practice" 8 (2): 93-102] article, which…
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Action Learning, Team Learning and Co-Operation in the Czech Republic
ERIC Educational Resources Information Center
Kubatova, Slava
2012-01-01
This account of practice presents two cases of the application of Action Learning (AL) communication methodology as described by Marquardt [2004. "Optimising the power of action learning". Mountain View, CA: Davies-Black Publishing]. The teams were Czech and international top management teams. The AL methodology was used to improve…
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Learning to Internalize Action Dialogue
ERIC Educational Resources Information Center
Cotter, Teresa Ellen
2011-01-01
The purpose of this case study was to explore how participants of a communications workshop, "Action Dialogue," perceived their ability to engage in dialogue was improved and enhanced. The study was based on the following assumptions: (1) dialogue skills can be learned and people are able to learn these skills; (2) context and emotion influence…
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Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task.
Sargent, Barbara; Reimann, Hendrik; Kubo, Masayoshi; Fetters, Linda
2015-06-01
Task-specific actions emerge from spontaneous movement during infancy. It has been proposed that task-specific actions emerge through a discovery-learning process. Here a method is described in which 3-4 month old infants learn a task by discovery and their leg movements are captured to quantify the learning process. This discovery-learning task uses an infant activated mobile that rotates and plays music based on specified leg action of infants. Supine infants activate the mobile by moving their feet vertically across a virtual threshold. This paradigm is unique in that as infants independently discover that their leg actions activate the mobile, the infants' leg movements are tracked using a motion capture system allowing for the quantification of the learning process. Specifically, learning is quantified in terms of the duration of mobile activation, the position variance of the end effectors (feet) that activate the mobile, changes in hip-knee coordination patterns, and changes in hip and knee muscle torque. This information describes infant exploration and exploitation at the interplay of person and environmental constraints that support task-specific action. Subsequent research using this method can investigate how specific impairments of different populations of infants at risk for movement disorders influence the discovery-learning process for task-specific action.
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Action Learning: Towards a Framework in Inter-Organisational Settings
ERIC Educational Resources Information Center
Coughlan, Paul; Coghlan, David
2004-01-01
While much of the literature on action learning focuses on managers developing their capacity to learn and transform their own organizations, this article explores how action learning has been used in inter-organisational settings. Two settings are presented: the first an EU-funded management development programme called the National Action…
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On the Nature of Problems in Action Learning
ERIC Educational Resources Information Center
Edmonstone, John
2014-01-01
The article aims to explore the nature of problems in action learning. Beginning with Revans' distinction between problems and puzzles, it draws parallels with the notion of wicked and tame problems. It offers four means of considering problems in action learning--in terms of the locus of a set's work; from the viewpoint of an…
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Gershman, Samuel J.; Pesaran, Bijan; Daw, Nathaniel D.
2009-01-01
Humans and animals are endowed with a large number of effectors. Although this enables great behavioral flexibility, it presents an equally formidable reinforcement learning problem of discovering which actions are most valuable, due to the high dimensionality of the action space. An unresolved question is how neural systems for reinforcement learning – such as prediction error signals for action valuation associated with dopamine and the striatum – can cope with this “curse of dimensionality.” We propose a reinforcement learning framework that allows for learned action valuations to be decomposed into effector-specific components when appropriate to a task, and test it by studying to what extent human behavior and BOLD activity can exploit such a decomposition in a multieffector choice task. Subjects made simultaneous decisions with their left and right hands and received separate reward feedback for each hand movement. We found that choice behavior was better described by a learning model that decomposed the values of bimanual movements into separate values for each effector, rather than a traditional model that treated the bimanual actions as unitary with a single value. A decomposition of value into effector-specific components was also observed in value-related BOLD signaling, in the form of lateralized biases in striatal correlates of prediction error and anticipatory value correlates in the intraparietal sulcus. These results suggest that the human brain can use decomposed value representations to “divide and conquer” reinforcement learning over high-dimensional action spaces. PMID:19864565
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Gershman, Samuel J; Pesaran, Bijan; Daw, Nathaniel D
2009-10-28
Humans and animals are endowed with a large number of effectors. Although this enables great behavioral flexibility, it presents an equally formidable reinforcement learning problem of discovering which actions are most valuable because of the high dimensionality of the action space. An unresolved question is how neural systems for reinforcement learning-such as prediction error signals for action valuation associated with dopamine and the striatum-can cope with this "curse of dimensionality." We propose a reinforcement learning framework that allows for learned action valuations to be decomposed into effector-specific components when appropriate to a task, and test it by studying to what extent human behavior and blood oxygen level-dependent (BOLD) activity can exploit such a decomposition in a multieffector choice task. Subjects made simultaneous decisions with their left and right hands and received separate reward feedback for each hand movement. We found that choice behavior was better described by a learning model that decomposed the values of bimanual movements into separate values for each effector, rather than a traditional model that treated the bimanual actions as unitary with a single value. A decomposition of value into effector-specific components was also observed in value-related BOLD signaling, in the form of lateralized biases in striatal correlates of prediction error and anticipatory value correlates in the intraparietal sulcus. These results suggest that the human brain can use decomposed value representations to "divide and conquer" reinforcement learning over high-dimensional action spaces.
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Action Learning Drives the Emerald Academy
ERIC Educational Resources Information Center
Nalborczyk, Sarah; Sandelands, Luke
2012-01-01
This account examines the action learning process adopted by Emerald Group Publishing Ltd., embedded in the organization through the in-company Emerald Academy. In case study format, the paper emphasizes that in order to align learning with organizational objectives joined up thinking and practice is needed beyond the learning and development…
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Action Learning--An Experiential Tool for Solving Organizational Issues
ERIC Educational Resources Information Center
Kinsey, Sharon B.
2011-01-01
Action Learning can be effectively used in both large and small businesses and organizations by employees, stakeholders, or volunteers through this "learning by doing" approach to evaluate an issue or issues of importance to the organization. First developed in the 1940s, Action Learning has increasingly been used as a method to explore questions…
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Entrepreneurial Learning through Action: A Case Study of the Six-Squared Program
ERIC Educational Resources Information Center
Pittaway, Luke; Missing, Caroline; Hudson, Nigel; Maragh, Dean
2009-01-01
This paper explores the role of "action" in entrepreneurial learning and illustrates how programs designed to support action learning can enhance management development in entrepreneurial businesses. The paper begins by exploring action learning and the way "action" is conceived in different types of program. In the second part, the paper details…
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Reconciling Market Requirements and Operations Resources: An Opportunity for Action Learning
ERIC Educational Resources Information Center
Coughlan, Paul; Coghlan, David
2009-01-01
This article brings together the fields of action learning and operations strategy. It presents a case of action learning focused on strategic operations improvement in the extended manufacturing enterprise. As the third article in the set of explorations in this journal within the fields of action learning, operations strategy and collaborative…
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Student Accounts of Action Learning on a DBA Programme: Learning Inaction
ERIC Educational Resources Information Center
Mendonça, Roger; Parker, Anthony; Udo, Uwem; Groves, Catherine
2015-01-01
This account of practice sets out the action learning experience of three doctoral students on the same Doctoral Programme in Business Administration at a UK university. It also include the sense-making of a fourth member of the set. It explores the tension between their area of work and their engagement in the action learning process and, in so…
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Action Learning: Developing Leaders and Supporting Change in a Healthcare Context
ERIC Educational Resources Information Center
Doyle, Louise
2014-01-01
This account of practice outlines how action learning was used as the key component of a leadership development initiative for managers in an acute hospital setting. It explains how the initiative was conceived, why action learning was chosen and how action learning principles were incorporated. Insights into the outcomes and considerations for…
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Agroecology Education: Action-Oriented Learning and Research
ERIC Educational Resources Information Center
Lieblein, Geir; Breland, Tor Arvid; Francis, Charles; Ostergaard, Edvin
2012-01-01
Purpose: This article examines and evaluates the potential contributions from action learning and action research with stakeholders to higher education in agriculture and food systems. Design/Methodology/Approach: The research is based on our experiences over the past two decades of running PhD courses and an MSc degree programme in Agroecology in…
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Business Action Learning Tasmania (BALT)--An Account of Practice
ERIC Educational Resources Information Center
Cother, Genevieve; Cother, Robert F.
2017-01-01
Business Action Learning Tasmania's (BALT) mission is self-reliant industry development, with diverse companies co-operating to improve their profitability, develop their people and grow the local economy. This is achieved through collaborative action learning, with companies working together on projects of vital importance and sharing the…
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Attitudes Regarding Action Learning: Undergraduate vs. Graduate Business Students
ERIC Educational Resources Information Center
Rosenstein, Alvin; Ashley, Allan; Gupta, Rakesh; Ulin, Kristin
2008-01-01
Previous research in our Action Learning Program demonstrated that although undergraduates preferred the Action Learning mode to the traditional lecture and discussion mode of instruction, they missed the familiar structure of the more traditional pedagogy. Consequently increased structure was implemented in both an undergraduate and graduate…
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What Am I to Action Learning and What Is Action Learning to Me?
ERIC Educational Resources Information Center
Doherty, Daniel
2016-01-01
This account of practice charts one organisation development practitioner's experience of the influence of action learning (AL) at various points in his career, from the early 1970s to the present day. It explores the impact of AL upon his practice over the years, chronicling various episodes which had strongest impact. It contrasts AL as it was…
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From action to abstraction: Using the hands to learn math
Novack, Miriam A.; Congdon, Eliza L.; Hemani-Lopez, Naureen; Goldin-Meadow, Susan
2014-01-01
Previous research has shown that children benefit from gesturing during math instruction. Here we ask whether gesturing promotes learning because it is itself a physical action, or because it uses physical action to represent abstract ideas. To address this question, we taught third-grade children a strategy for solving mathematical equivalence problems that was instantiated in one of three ways: (1) in the physical action children performed on objects, (2) in a concrete gesture miming that action, or (3) in an abstract gesture. All three types of hand movements helped children learn how to solve the problems on which they were trained. However, only gesture led to success on problems that required generalizing the knowledge gained. The results provide the first evidence that gesture promotes transfer of knowledge better than action, and suggest that the beneficial effects gesture has on learning may reside in the features that differentiate it from action. PMID:24503873
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A Framework for the Ethical Practice of Action Learning
ERIC Educational Resources Information Center
Johnson, Craig
2010-01-01
By tradition the action learning community has encouraged an eclectic view of practice. This involves a number of different permutations around a kernel of nebulous ideas. However, the disadvantages of such an open philosophy have never been considered. In particular consumer protection against inauthentic action learning experiences has been…
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Action Learning in Virtual Higher Education: Applying Leadership Theory
ERIC Educational Resources Information Center
Curtin, Joseph
2016-01-01
This paper reports the historical foundation of Northeastern University's course, LDR 6100: Developing Your Leadership Capability, a partial literature review of action learning (AL) and virtual action learning (VAL), a course methodology of LDR 6100 requiring students to apply leadership perspectives using VAL as instructed by the author,…
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ERIC Educational Resources Information Center
Stephens, Simon; Margey, Michael
2015-01-01
Action learning involves balancing the often conflicting forces between working knowledge and academic knowledge. This paper explores the experience of executive learners; academics and external contributors involved in action learning at the postgraduate level. The executive learners are members of cohorts on two masters programmes based in…
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Renewing Professional Organizations and Action Learning
ERIC Educational Resources Information Center
Mullen, Carol A.
2011-01-01
This account concerns the renewal of established professional organizations though action learning. In order to revitalize one national organization, an executive group of leaders committed to co-leading and co-learning through a friendly, computer-supported governance structure. Manifestations of our work together were an accelerated…
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Inspecting Cases against Revans' "Gold Standard" of Action Learning
ERIC Educational Resources Information Center
Willis, Verna J.
2004-01-01
A purposive sampling and analysis of ten case histories of action learning in the US suggests that applications tend to be partial, hierarchical, and leader controlled, thus running counter in several significant ways to the gold standard of Revans' action learning theory and egalitarian rules of engagement. Using critical markers to inspect the…
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Collaborative action research: implementation of cooperative learning.
Smith-Stoner, Marilyn; Molle, Mary E
2010-06-01
Nurse educators must continually improve their teaching skills through innovation. However, research about the process used by faculty members to transform their teaching methods is limited. This collaborative study uses classroom action research to describe, analyze, and address problems encountered in implementing cooperative learning in two undergraduate nursing courses. After four rounds of action and reflection, the following themes emerged: students did not understand the need for structured cooperative learning; classroom structure and seating arrangement influenced the effectiveness of activities; highly structured activities engaged the students; and short, targeted activities that involved novel content were most effective. These findings indicate that designing specific activities to prepare students for class is critical to cooperative learning. Copyright 2010, SLACK Incorporated.
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Braun, Daniel A.; Mehring, Carsten; Wolpert, Daniel M.
2010-01-01
‘Learning to learn’ phenomena have been widely investigated in cognition, perception and more recently also in action. During concept learning tasks, for example, it has been suggested that characteristic features are abstracted from a set of examples with the consequence that learning of similar tasks is facilitated—a process termed ‘learning to learn’. From a computational point of view such an extraction of invariants can be regarded as learning of an underlying structure. Here we review the evidence for structure learning as a ‘learning to learn’ mechanism, especially in sensorimotor control where the motor system has to adapt to variable environments. We review studies demonstrating that common features of variable environments are extracted during sensorimotor learning and exploited for efficient adaptation in novel tasks. We conclude that structure learning plays a fundamental role in skill learning and may underlie the unsurpassed flexibility and adaptability of the motor system. PMID:19720086
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The Impact of Action Learning Experience on Reflective Practice
ERIC Educational Resources Information Center
Harris, Nicole S.
2012-01-01
This case study examines the changes that occur with respect to reflective practices as a result of participating in an action learning group through the identification of aspects/activities of action learning that contribute to such changes and the impact these aspects/activities had on the program participants at a department of the federal…
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Franchisees in Crisis: Using Action Learning to Self-Organise
ERIC Educational Resources Information Center
O'Donoghue, Carol
2011-01-01
The present article describes the use of action learning by a group of 30 franchisees to organise themselves and work through a period of upheaval and uncertainty when their parent company faced liquidation. Written from the perspective of one of the franchisees who found herself adopting action learning principles to facilitate the group, it…
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Action Learning--A Process Which Supports Organisational Change Initiatives
ERIC Educational Resources Information Center
Joyce, Pauline
2012-01-01
This paper reflects on how action learning sets (ALSs) were used to support organisational change initiatives. It sets the scene with contextualising the inclusion of change projects in a masters programme. Action learning is understood to be a dynamic process where a team meets regularly to help individual members address issues through a highly…
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Action Learning. A Guide for Professional, Management and Educational Development. Second Edition.
ERIC Educational Resources Information Center
McGill, Ian; Beaty, Liz
Action learning is a process of learning and reflection that happens with the support of a group of colleagues ("set") working with real problems with the intention of getting things done. This guide is for those who want to practice action learning. It can be used to introduce the concepts of action learning to others and as a manual…
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Action Learning. Symposium 21. [Concurrent Symposium Session at AHRD Annual Conference, 2000.
ERIC Educational Resources Information Center
2000
This document contains three papers from a symposium on action learning that was conducted as part of a conference on human resource development (HRD). "Searching for Meaning in Complex Action Learning Data: What Environments, Acts, and Words Reveal" (Verna J. Willis) analyzes complex action learning documents produced as course…
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Action Learning: Developing Critical Competencies for Knowledge Era Workers
ERIC Educational Resources Information Center
Robinson, Greg
2005-01-01
For most of the twentieth century, the goal in education was the generation and dissemination of information. With the rise of technology and unlimited access to information, it is the ability to apply knowledge and learn from experience that is the new priority for employee development. Action learning, with its emphasis on action and reflection,…
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Action Learning in an SME: Appetite Comes with Eating
ERIC Educational Resources Information Center
Hauser, Bernhard
2009-01-01
This account describes action learning in a small to medium-size enterprise (SME) that operates as a local power utility on an established market that is currently going through a process of radical transformation. The task of the action learning set was to improve the flow of information to employees about the evolving framework in which the…
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Predictive Movements and Human Reinforcement Learning of Sequential Action
ERIC Educational Resources Information Center
de Kleijn, Roy; Kachergis, George; Hommel, Bernhard
2018-01-01
Sequential action makes up the bulk of human daily activity, and yet much remains unknown about how people learn such actions. In one motor learning paradigm, the serial reaction time (SRT) task, people are taught a consistent sequence of button presses by cueing them with the next target response. However, the SRT task only records keypress…
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Action learning: an effective way to improve cancer-related pain management.
Kasasbeh, Mohammed Ali Mohammed; McCabe, Catherine; Payne, Sheila
2017-11-01
To evaluate the efficacy of action learning for improving cancer related pain management in the acute healthcare settings. Despite the prevalent use of action learning in private, public, clinical and non-clinical settings, no studies were found in the literature that either examined cancer pain management or used action learning as an approach to improve patient care in acute healthcare settings. An intervention pre - posttest design was adopted using an action learning programme (ALPs) as the intervention. Healthcare professionals' knowledge, attitudes and practice were assessed and evaluated before and after the implementation of the six-month ALPs. A pre and post audit and survey were conducted for data collection. The data were collected from the entire population of 170 healthcare professionals in one healthcare organisation. The management of cancer related pain improved significantly following the intervention. Significant improvement were also seen in healthcare professionals' knowledge, attitudes with improved cancer related pain management as a consequence of this. Despite many organisational challenges to practice development and collaborative working in healthcare settings there is evidence that action learning can achieve positive outcomes for improving CRP and supporting collaborative working. Action learning needs to be considered as a strategy for achieving high quality standards. © 2016 John Wiley & Sons Ltd.
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Linking Action Learning and Inter-Organisational Learning: The Learning Journey Approach
ERIC Educational Resources Information Center
Schumacher, Thomas
2015-01-01
The article presents and illustrates the learning journey (LJ)--a new management development approach to inter-organisational learning based on observation, reflection and problem-solving. The LJ involves managers from different organisations and applies key concepts of action learning and systemic organisational development. Made up of…
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Mindfulness into Action: Transformational Learning through Collaborative Inquiry
ERIC Educational Resources Information Center
Vergara, Mariana Ines
2016-01-01
This action research exploratory study sought to learn how to better develop my practice by using grounded theory. It explored the apparent cognitive transformational experience of nine participants over a period of four weeks after the implementation of an intervention called Mindfulness into Action. The informal intervention was used with the…
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The Alchemy of Action Learning
ERIC Educational Resources Information Center
West, Penny; Choueke, Richard
2003-01-01
This paper examines the authors' experiences as action learning set facilitators within a public sector organisation undergoing change. Our objectives were to assist in the identification of internal and external drivers for change and to work with the set to explore how people's roles and responsibilities might be enhanced and developed in a…
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Action-outcome learning and prediction shape the window of simultaneity of audiovisual outcomes.
Desantis, Andrea; Haggard, Patrick
2016-08-01
To form a coherent representation of the objects around us, the brain must group the different sensory features composing these objects. Here, we investigated whether actions contribute in this grouping process. In particular, we assessed whether action-outcome learning and prediction contribute to audiovisual temporal binding. Participants were presented with two audiovisual pairs: one pair was triggered by a left action, and the other by a right action. In a later test phase, the audio and visual components of these pairs were presented at different onset times. Participants judged whether they were simultaneous or not. To assess the role of action-outcome prediction on audiovisual simultaneity, each action triggered either the same audiovisual pair as in the learning phase ('predicted' pair), or the pair that had previously been associated with the other action ('unpredicted' pair). We found the time window within which auditory and visual events appeared simultaneous increased for predicted compared to unpredicted pairs. However, no change in audiovisual simultaneity was observed when audiovisual pairs followed visual cues, rather than voluntary actions. This suggests that only action-outcome learning promotes temporal grouping of audio and visual effects. In a second experiment we observed that changes in audiovisual simultaneity do not only depend on our ability to predict what outcomes our actions generate, but also on learning the delay between the action and the multisensory outcome. When participants learned that the delay between action and audiovisual pair was variable, the window of audiovisual simultaneity for predicted pairs increased, relative to a fixed action-outcome pair delay. This suggests that participants learn action-based predictions of audiovisual outcome, and adapt their temporal perception of outcome events based on such predictions. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.
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ERIC Educational Resources Information Center
Dilworth, Robert L.; Willis, Verna J.
This book provides information and strategies on how adult educators can integrate action learning concepts in their teaching practice. The book defines action learning as going beyond the traditional idea of "learn by doing" and applies it to various organizational cultures and educational contexts. Chapter 1 introduces the origins of action…
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Learning Computer Science: Perceptions, Actions and Roles
ERIC Educational Resources Information Center
Berglund, Anders; Eckerdal, Anna; Pears, Arnold; East, Philip; Kinnunen, Paivi; Malmi, Lauri; McCartney, Robert; Mostrom, Jan-Erik; Murphy, Laurie; Ratcliffe, Mark; Schulte, Carsten; Simon, Beth; Stamouli, Ioanna; Thomas, Lynda
2009-01-01
This phenomenographic study opens the classroom door to investigate teachers' experiences of students learning difficult computing topics. Three distinct themes are identified and analysed. "Why" do students succeed or fail to learn these concepts? "What" actions do teachers perceive will ameliorate the difficulties facing…
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Action learning sets in a nursing and midwifery practice learning context: a realistic evaluation.
Machin, Alison I; Pearson, Pauline
2014-08-01
Action learning sets (ALS) are used widely for organisational and workforce development, including in nursing (Anderson and Thorpe, 2004; Pounder, 2009; Young et al., 2010). In the United Kingdom, a multi-faceted educational Pilot programme for new nurses and midwives was implemented to accelerate their clinical practice and leadership development (NHS Education Scotland, 2010). Action Learning Sets were provided for peer support and personal development. The Realistic Evaluation study reported in this paper explored issues of context, mechanism and outcome (Pawson and Tilley, 1997) influencing the action learning experiences of: programme participants (recently qualified nurses and midwives, from different practice settings); and programme supporters. A range of data were collected via: online questionnaires from 66 participants and 29 supporters; three focus groups, each comprising between eight and 10 programme participants; and one focus group with three action learning facilitators. The qualitative data pertaining to the ALS are presented in this paper. Thematic data analysis of context, mechanism and outcome configurations, generated five themes: creating and sustaining a collective learning environment; challenging constructively; collective support; the role of feedback; and effectiveness of ALS. Study outcomes suggest nursing and midwifery action learning should (a) be facilitated positively to improve participants' experience; (b) be renamed to avoid learning methodology confusion; and (c) be outcome focused to evidence impact on practice. Copyright © 2014 Elsevier Ltd. All rights reserved.
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Action Learning in Postgraduate Executive Management Education: An Account of Practice
ERIC Educational Resources Information Center
Ruane, Meadbh
2016-01-01
The merits of action learning as a change tool and enabler of deep learning are well recognised. However, there is a gap in the literature of participants' stories regarding their experiences on accredited postgraduate executive programmes underpinned by an action learning philosophy. The following account of practice addresses this gap and…
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Culture and Commitment: The Key to the Creation of an Action Learning Organization
ERIC Educational Resources Information Center
Hind, Matthew; Koenigsberger, John
2007-01-01
This article examines the introduction and practice of action learning into a highly volatile, commercial environment. During nine years of action learning projects, the impact on individuals, the action learning sets into which they were formed, the organization and its structure and the organizational culture were evaluated. The article…
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Using Collaborative Action Learning Projects to Increase the Impact of Management Development
ERIC Educational Resources Information Center
Lyso, Ingunn Hybertsen; Mjoen, Kristian; Levin, Morten
2011-01-01
This article aims to contribute to the field of human resource development by exploring the conditions that influence the organizational impact of action learning projects. Many organizations use such projects as an integral part of their management development programs. Past research on action learning projects has shown how balancing action and…
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Switching Reinforcement Learning for Continuous Action Space
NASA Astrophysics Data System (ADS)
Nagayoshi, Masato; Murao, Hajime; Tamaki, Hisashi
Reinforcement Learning (RL) attracts much attention as a technique of realizing computational intelligence such as adaptive and autonomous decentralized systems. In general, however, it is not easy to put RL into practical use. This difficulty includes a problem of designing a suitable action space of an agent, i.e., satisfying two requirements in trade-off: (i) to keep the characteristics (or structure) of an original search space as much as possible in order to seek strategies that lie close to the optimal, and (ii) to reduce the search space as much as possible in order to expedite the learning process. In order to design a suitable action space adaptively, we propose switching RL model to mimic a process of an infant's motor development in which gross motor skills develop before fine motor skills. Then, a method for switching controllers is constructed by introducing and referring to the “entropy”. Further, through computational experiments by using robot navigation problems with one and two-dimensional continuous action space, the validity of the proposed method has been confirmed.
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Comparison as a Universal Learning Action
ERIC Educational Resources Information Center
Merkulova, T. V.
2016-01-01
This article explores "comparison" as a universal metasubject learning action, a key curricular element envisaged by the Russian Federal State Educational Standards. Representing the modern learner's fundamental pragmatic skill embedding such core capacities as information processing, critical thinking, robust decision-making, and…
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Service Learning: An Action Oriented Program Evaluation
ERIC Educational Resources Information Center
Kelley, George
2013-01-01
Service learning is an academic discipline that provides students with "hands-on" opportunities for developing skills in real-world, community-based projects that serve and benefit community members. This dissertation reflects an action-oriented process for improving the quality of the Service Learning Program at City University of…
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Baldassarre, Gianluca; Mannella, Francesco; Fiore, Vincenzo G; Redgrave, Peter; Gurney, Kevin; Mirolli, Marco
2013-05-01
Reinforcement (trial-and-error) learning in animals is driven by a multitude of processes. Most animals have evolved several sophisticated systems of 'extrinsic motivations' (EMs) that guide them to acquire behaviours allowing them to maintain their bodies, defend against threat, and reproduce. Animals have also evolved various systems of 'intrinsic motivations' (IMs) that allow them to acquire actions in the absence of extrinsic rewards. These actions are used later to pursue such rewards when they become available. Intrinsic motivations have been studied in Psychology for many decades and their biological substrates are now being elucidated by neuroscientists. In the last two decades, investigators in computational modelling, robotics and machine learning have proposed various mechanisms that capture certain aspects of IMs. However, we still lack models of IMs that attempt to integrate all key aspects of intrinsically motivated learning and behaviour while taking into account the relevant neurobiological constraints. This paper proposes a bio-constrained system-level model that contributes a major step towards this integration. The model focusses on three processes related to IMs and on the neural mechanisms underlying them: (a) the acquisition of action-outcome associations (internal models of the agent-environment interaction) driven by phasic dopamine signals caused by sudden, unexpected changes in the environment; (b) the transient focussing of visual gaze and actions on salient portions of the environment; (c) the subsequent recall of actions to pursue extrinsic rewards based on goal-directed reactivation of the representations of their outcomes. The tests of the model, including a series of selective lesions, show how the focussing processes lead to a faster learning of action-outcome associations, and how these associations can be recruited for accomplishing goal-directed behaviours. The model, together with the background knowledge reviewed in the paper
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Action Learning: Potential for Inner City Youth
ERIC Educational Resources Information Center
Epps, Edgar G.
1974-01-01
Working class and minority participation in action-learning poses potential problems likely to be overlooked by program planners. This presentation reveals the trouble spots and offers constructive suggestions. (Editor)
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Spontaneous Action and Transformative Learning: Empirical Investigations and Pragmatist Reflections
ERIC Educational Resources Information Center
Nohl, Arnd-Michael
2009-01-01
Whereas present theories of transformative learning tend to focus on the rational and reflective actor, in this article it is suggested that spontaneous action may play a decisive role in transformative learning too. In the spontaneity of action, novelty finds its way into life, gains momentum, is respected by others and reflected by the actor.…
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Multi-task learning with group information for human action recognition
NASA Astrophysics Data System (ADS)
Qian, Li; Wu, Song; Pu, Nan; Xu, Shulin; Xiao, Guoqiang
2018-04-01
Human action recognition is an important and challenging task in computer vision research, due to the variations in human motion performance, interpersonal differences and recording settings. In this paper, we propose a novel multi-task learning framework with group information (MTL-GI) for accurate and efficient human action recognition. Specifically, we firstly obtain group information through calculating the mutual information according to the latent relationship between Gaussian components and action categories, and clustering similar action categories into the same group by affinity propagation clustering. Additionally, in order to explore the relationships of related tasks, we incorporate group information into multi-task learning. Experimental results evaluated on two popular benchmarks (UCF50 and HMDB51 datasets) demonstrate the superiority of our proposed MTL-GI framework.
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Learning, attentional control and action video games
Green, C.S.; Bavelier, D.
2012-01-01
While humans have an incredible capacity to acquire new skills and alter their behavior as a result of experience, enhancements in performance are typically narrowly restricted to the parameters of the training environment, with little evidence of generalization to different, even seemingly highly related, tasks. Such specificity is a major obstacle for the development of many real-world training or rehabilitation paradigms, which necessarily seek to promote more general learning. In contrast to these typical findings, research over the past decade has shown that training on ‘action video games’ produces learning that transfers well beyond the training task. This has led to substantial interest among those interested in rehabilitation, for instance, after stroke or to treat amblyopia, or training for various precision-demanding jobs, for instance, endoscopic surgery or piloting unmanned aerial drones. Although the predominant focus of the field has been on outlining the breadth of possible action-game-related enhancements, recent work has concentrated on uncovering the mechanisms that underlie these changes, an important first step towards the goal of designing and using video games for more definite purposes. Game playing may not convey an immediate advantage on new tasks (increased performance from the very first trial), but rather the true effect of action video game playing may be to enhance the ability to learn new tasks. Such a mechanism may serve as a signature of training regimens that are likely to produce transfer of learning. PMID:22440805
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Effects of Ventral Striatum Lesions on Stimulus-Based versus Action-Based Reinforcement Learning.
Rothenhoefer, Kathryn M; Costa, Vincent D; Bartolo, Ramón; Vicario-Feliciano, Raquel; Murray, Elisabeth A; Averbeck, Bruno B
2017-07-19
Learning the values of actions versus stimuli may depend on separable neural circuits. In the current study, we evaluated the performance of rhesus macaques with ventral striatum (VS) lesions on a two-arm bandit task that had randomly interleaved blocks of stimulus-based and action-based reinforcement learning (RL). Compared with controls, monkeys with VS lesions had deficits in learning to select rewarding images but not rewarding actions. We used a RL model to quantify learning and choice consistency and found that, in stimulus-based RL, the VS lesion monkeys were more influenced by negative feedback and had lower choice consistency than controls. Using a Bayesian model to parse the groups' learning strategies, we also found that VS lesion monkeys defaulted to an action-based choice strategy. Therefore, the VS is involved specifically in learning the value of stimuli, not actions. SIGNIFICANCE STATEMENT Reinforcement learning models of the ventral striatum (VS) often assume that it maintains an estimate of state value. This suggests that it plays a general role in learning whether rewards are assigned based on a chosen action or stimulus. In the present experiment, we examined the effects of VS lesions on monkeys' ability to learn that choosing a particular action or stimulus was more likely to lead to reward. We found that VS lesions caused a specific deficit in the monkeys' ability to discriminate between images with different values, whereas their ability to discriminate between actions with different values remained intact. Our results therefore suggest that the VS plays a specific role in learning to select rewarded stimuli. Copyright © 2017 the authors 0270-6474/17/376902-13$15.00/0.
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Lifelong learning of human actions with deep neural network self-organization.
Parisi, German I; Tani, Jun; Weber, Cornelius; Wermter, Stefan
2017-12-01
Lifelong learning is fundamental in autonomous robotics for the acquisition and fine-tuning of knowledge through experience. However, conventional deep neural models for action recognition from videos do not account for lifelong learning but rather learn a batch of training data with a predefined number of action classes and samples. Thus, there is the need to develop learning systems with the ability to incrementally process available perceptual cues and to adapt their responses over time. We propose a self-organizing neural architecture for incrementally learning to classify human actions from video sequences. The architecture comprises growing self-organizing networks equipped with recurrent neurons for processing time-varying patterns. We use a set of hierarchically arranged recurrent networks for the unsupervised learning of action representations with increasingly large spatiotemporal receptive fields. Lifelong learning is achieved in terms of prediction-driven neural dynamics in which the growth and the adaptation of the recurrent networks are driven by their capability to reconstruct temporally ordered input sequences. Experimental results on a classification task using two action benchmark datasets show that our model is competitive with state-of-the-art methods for batch learning also when a significant number of sample labels are missing or corrupted during training sessions. Additional experiments show the ability of our model to adapt to non-stationary input avoiding catastrophic interference. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.
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Beyond rational imitation: learning arbitrary means actions from communicative demonstrations.
Király, Ildikó; Csibra, Gergely; Gergely, György
2013-10-01
The principle of rationality has been invoked to explain that infants expect agents to perform the most efficient means action to attain a goal. It has also been demonstrated that infants take into account the efficiency of observed actions to achieve a goal outcome when deciding whether to reenact a specific behavior or not. It is puzzling, however, that they also tend to imitate an apparently suboptimal unfamiliar action even when they can bring about the same outcome more efficiently by applying a more rational action alternative available to them. We propose that this apparently paradoxical behavior is explained by infants' interpretation of action demonstrations as communicative manifestations of novel and culturally relevant means actions to be acquired, and we present empirical evidence supporting this proposal. In Experiment 1, we found that 14-month-olds reenacted novel arbitrary means actions only following a communicative demonstration. Experiment 2 showed that infants' inclination to reproduce communicatively manifested novel actions is restricted to behaviors they can construe as goal-directed instrumental acts. The study also provides evidence that infants' reenactment of the demonstrated novel actions reflects epistemic motives rather than purely social motives. We argue that ostensive communication enables infants to represent the teleological structure of novel actions even when the causal relations between means and end are cognitively opaque and apparently violate the efficiency expectation derived from the principle of rationality. This new account of imitative learning of novel means shows how the teleological stance and natural pedagogy--two separate cognitive adaptations to interpret instrumental versus communicative actions--are integrated as a system for learning socially constituted instrumental knowledge in humans. Copyright © 2013 Elsevier Inc. All rights reserved.
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Beyond rational imitation: Learning arbitrary means actions from communicative demonstrations
Király, Ildikó; Csibra, Gergely; Gergely, György
2015-01-01
The principle of rationality has been invoked to explain that infants expect agents to perform the most efficient means action to attain a goal. It has also been demonstrated that infants take into account the efficiency of observed actions to achieve a goal outcome when deciding whether to re-enact a specific behavior or not. Puzzlingly, however, they also tend to imitate an apparently suboptimal unfamiliar action even when they can bring about the same outcome more efficiently by applying a more rational action alternative available to them. We propose that this apparently paradoxical behavior is explained by infants' interpretation of action demonstrations as communicative manifestations of novel and culturally relevant means actions to be acquired, and present empirical evidence supporting this proposal. In Experiment 1, we found that 14-month-old infants re-enacted novel arbitrary means actions only following a communicative demonstration. Experiment 2 showed that infants inclination to reproduce communicatively manifested novel actions is restricted to behaviors they can construe as goal-directed instrumental acts. The study also provides evidence that their re-enactment of the demonstrated novel actions reflects epistemic rather than purely social motives. We argue that ostensive communication enables infants to represent the teleological structure of novel actions even when the causal relations between means and end are cognitively opaque and apparently violate the efficiency expectation derived from the principle of rationality. This new account of imitative learning of novel means shows how the teleological stance and natural pedagogy – two separate cognitive adaptations to interpret instrumental vs. communicative actions – are integrated as a system for learning socially constituted instrumental knowledge in humans. PMID:23499323
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ERIC Educational Resources Information Center
Scott, Fiona M.; Butler, Jim; Edwards, John
2001-01-01
An action learning program was implemented by a manufacturer using lean production practices. Action learning practices were accommodated during times of stability, but abandoned in times of crisis. The meaning of work in this organizational culture excluded all practices, such as reflection, that were not visible and targeted at immediate…
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Facilitating Lecturer Development and Student Learning through Action Research
ERIC Educational Resources Information Center
van der Westhuizen, C. N.
2008-01-01
The aim of the action research project is to improve my own practice as research methodology lecturer to facilitate effective student learning to enable students to become reflective practitioners with responsibility for their own professional development through action research in their own classrooms, and to motivate the students and increase…
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Mayan Children's Creation of Learning Ecologies by Initiative and Cooperative Action.
de León, Lourdes
2015-01-01
This chapter examines Mayan children's initiatives in creating their own learning environments in collaboration with others as they engage in culturally relevant endeavors of family and community life. To this end, I carry out a fine-grained ethnographic and linguistic analysis of the interactional emergence of learning ecologies. Erickson defines learning ecology as a socioecological system where participants mutually influence one another through verbal and nonverbal actions, as well as through other forms of semiotic communication (2010, 254). In analyzing learning ecologies, I adopt a "theory of action" approach, taking into account multimodal communication (e.g., talk, gesture, gaze, body positioning), participants' sociospatial organization, embodied action, objects, tools, and other culturally relevant materials brought together to build action (Goodwin, 2000, 2013; Hutchins, 1995). I use microethnographic analysis (Erickson, 1992) to bring to the surface central aspects of children's agentive roles in learning through "cooperative actions" (Goodwin, 2013) and "hands-on" experience (Ingold, 2007) the skills of competent members of their community. I examine three distinct Learning Ecologies created by children's initiatives among the Mayan children that I observed: (i) children requesting guidance to collaborate in a task, (ii) older children working on their own initiative with subsequent monitoring and correction from competent members, and (iii) children with near competence in a task with occasional monitoring and no guidance. I argue that these findings enrich and add power to models of family- and community-based learning such as Learning by Observing and Pitching In (Rogoff, 2014). © 2015 Elsevier Inc. All rights reserved.
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Participating in a Collaborative Action Learning Set (CAL): Beginning the Journey
ERIC Educational Resources Information Center
McCormack, Brendan; Henderson, Elizabeth; Boomer, Christine; Collin, Ita; Robinson, David
2008-01-01
Action learning is being increasingly utilised as a strategy to underpin practitioner focused development and research projects in healthcare generally and nursing in particular. Whilst facilitators of and participants in action learning have a variety of resource materials to guide their practice and participation, there continue to be few…
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Assessing the Value of Action Learning for Social Enterprises and Charities
ERIC Educational Resources Information Center
Smith, Sue; Smith, Laurie
2017-01-01
In this paper we evaluate action learning for leaders of social enterprises and charities. Based on ethnographic research including participant observation, facilitator reflective diary notes and in-depth, qualitative interviews with participants of two action learning sets undertaken over eight months, analysed using Wenger, Trayner, and de Laat…
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A Collaborative Action Research Approach to Professional Learning
ERIC Educational Resources Information Center
Bleicher, Robert E.
2014-01-01
The field of professional development is moving towards the notion of professional learning, highlighting the active learning role that teachers play in changing their knowledge bases, beliefs and practice. This article builds on this idea and argues for creating professional learning that is guided by a collaborative action research (CAR)…
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Action learning: a tool for the development of strategic skills for Nurse Consultants?
Young, Sarah; Nixon, Eileen; Hinge, Denise; McFadyen, Jan; Wright, Vanessa; Lambert, Pauline; Pilkington, Carolyn; Newsome, Christine
2010-01-01
This paper will discuss the process of action learning and the outcomes of using action learning as a tool to achieve a more strategic function from Nurse Consultant posts. It is documented that one of the most challenging aspect of Nurse Consultant roles, in terms of leadership, is the strategic contribution they make at a senior corporate Trust level, often across organizations and local health economies. A facilitated action learning set was established in Brighton, England, to support the strategic leadership development of eight nurse consultant posts across two NHS Trusts. Benefits to patient care, with regard to patient pathways and cross-organizational working, have been evident outcomes associated with the nurse consultant posts involved in the action learning set. Commitment by organizational nurse leaders is essential to address the challenges facing nurse consultants to implement change at strategic levels. The use of facilitated action learning had been a successful tool in developing the strategic skills of Nurse Consultant posts within this setting. Action learning sets may be successfully applied to a range of senior nursing posts with a strategic remit and may assist post holders in achieving better outcomes pertinent to their roles.
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Learning, attentional control, and action video games.
Green, C S; Bavelier, D
2012-03-20
While humans have an incredible capacity to acquire new skills and alter their behavior as a result of experience, enhancements in performance are typically narrowly restricted to the parameters of the training environment, with little evidence of generalization to different, even seemingly highly related, tasks. Such specificity is a major obstacle for the development of many real-world training or rehabilitation paradigms, which necessarily seek to promote more general learning. In contrast to these typical findings, research over the past decade has shown that training on 'action video games' produces learning that transfers well beyond the training task. This has led to substantial interest among those interested in rehabilitation, for instance, after stroke or to treat amblyopia, or training for various precision-demanding jobs, for instance, endoscopic surgery or piloting unmanned aerial drones. Although the predominant focus of the field has been on outlining the breadth of possible action-game-related enhancements, recent work has concentrated on uncovering the mechanisms that underlie these changes, an important first step towards the goal of designing and using video games for more definite purposes. Game playing may not convey an immediate advantage on new tasks (increased performance from the very first trial), but rather the true effect of action video game playing may be to enhance the ability to learn new tasks. Such a mechanism may serve as a signature of training regimens that are likely to produce transfer of learning. Copyright © 2012 Elsevier Ltd. All rights reserved.
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Recognizing human actions by learning and matching shape-motion prototype trees.
Jiang, Zhuolin; Lin, Zhe; Davis, Larry S
2012-03-01
A shape-motion prototype-based approach is introduced for action recognition. The approach represents an action as a sequence of prototypes for efficient and flexible action matching in long video sequences. During training, an action prototype tree is learned in a joint shape and motion space via hierarchical K-means clustering and each training sequence is represented as a labeled prototype sequence; then a look-up table of prototype-to-prototype distances is generated. During testing, based on a joint probability model of the actor location and action prototype, the actor is tracked while a frame-to-prototype correspondence is established by maximizing the joint probability, which is efficiently performed by searching the learned prototype tree; then actions are recognized using dynamic prototype sequence matching. Distance measures used for sequence matching are rapidly obtained by look-up table indexing, which is an order of magnitude faster than brute-force computation of frame-to-frame distances. Our approach enables robust action matching in challenging situations (such as moving cameras, dynamic backgrounds) and allows automatic alignment of action sequences. Experimental results demonstrate that our approach achieves recognition rates of 92.86 percent on a large gesture data set (with dynamic backgrounds), 100 percent on the Weizmann action data set, 95.77 percent on the KTH action data set, 88 percent on the UCF sports data set, and 87.27 percent on the CMU action data set.
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Transitioning to a More Sustainable Society: Unpacking the Role of the Learning-Action Nexus
ERIC Educational Resources Information Center
Moyer, Joanne M.; Sinclair, A. John; Quinn, Lisa
2016-01-01
In recent years, action on sustainability has been highly influential around the globe and many now recognize the importance of individual and social learning for inspiring action and achieving sustainability outcomes. Transformative learning theory has been criticized, however, for insufficient development of the link between learning and action.…
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Action Learning: How Learning Transfers from Entrepreneurs to Small Firms
ERIC Educational Resources Information Center
Jones, Karen; Sambrook, Sally A.; Pittaway, Luke; Henley, Andrew; Norbury, Heather
2014-01-01
This paper presents research with small- and medium-sized enterprise (SME) owners who have participated in a leadership development programme. The primary focus of this paper is on learning transfer and factors affecting it, arguing that entrepreneurs must engage in "action" in order to "learn" and that under certain conditions…
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Learning robot actions based on self-organising language memory.
Wermter, Stefan; Elshaw, Mark
2003-01-01
In the MirrorBot project we examine perceptual processes using models of cortical assemblies and mirror neurons to explore the emergence of semantic representations of actions, percepts and concepts in a neural robot. The hypothesis under investigation is whether a neural model will produce a life-like perception system for actions. In this context we focus in this paper on how instructions for actions can be modeled in a self-organising memory. Current approaches for robot control often do not use language and ignore neural learning. However, our approach uses language instruction and draws from the concepts of regional distributed modularity, self-organisation and neural assemblies. We describe a self-organising model that clusters actions into different locations depending on the body part they are associated with. In particular, we use actual sensor readings from the MIRA robot to represent semantic features of the action verbs. Furthermore, we outline a hierarchical computational model for a self-organising robot action control system using language for instruction.
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Developing Results-Based Leadership Attributes and Team Cohesiveness through Action Learning
ERIC Educational Resources Information Center
Troupe, David
2010-01-01
Those who develop leaders in manufacturing settings have little data that describe the usefulness of action learning as a method of developing leaders' abilities to improve results-based leadership attributes or perceptions about their team's cohesiveness. The two purposes of this study were to evaluate an action learning program with regards to…
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Innovation Development--An Action Learning Programme for Medical Scientists and Engineers
ERIC Educational Resources Information Center
Beniston, Lee; Ellwood, Paul; Gold, Jeff; Roberts, James; Thorpe, Richard
2014-01-01
There is increasing evidence that action learning is valuable in a higher education setting. This paper goes on to report a personal development programme, based on principles of critical action learning, where the aim is to equip early-career scientists and engineers working in a university setting with the knowledge, skills and confidence to…
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Everyday robotic action: lessons from human action control
de Kleijn, Roy; Kachergis, George; Hommel, Bernhard
2014-01-01
Robots are increasingly capable of performing everyday human activities such as cooking, cleaning, and doing the laundry. This requires the real-time planning and execution of complex, temporally extended sequential actions under high degrees of uncertainty, which provides many challenges to traditional approaches to robot action control. We argue that important lessons in this respect can be learned from research on human action control. We provide a brief overview of available psychological insights into this issue and focus on four principles that we think could be particularly beneficial for robot control: the integration of symbolic and subsymbolic planning of action sequences, the integration of feedforward and feedback control, the clustering of complex actions into subcomponents, and the contextualization of action-control structures through goal representations. PMID:24672474
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Developing Citizen Leaders through Action Learning
ERIC Educational Resources Information Center
Foley, Dolores
2006-01-01
This is an account of a programmer utilizing the application of action learning to the development of capacities of citizens. The Citizen Leadership for Democratic Governance is designed to equip citizens with the skills to get involved and handle the difficult tasks of governance in their communities in South Africa. After a history of apartheid…
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Action Learning in Postgraduate Research Training
ERIC Educational Resources Information Center
Marchand, Trevor
2017-01-01
This account of practice explores the benefits and challenges of using Action Learning (AL) with junior researchers. Findings are grounded in an AL set of six doctoral students, organised and convened by the author. The case study reveals the range of emotional and structural hurdles that Ph.D. candidates typically face in completing their…
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ERIC Educational Resources Information Center
Cowan, Chris Allen
2013-01-01
As the need for new leaders has increased, so has the need for new and more effective forms of leadership development (Hamel, 2007; Lojeski, 2010; Gratton, 2011). Action learning has been popularized as one of these new forms of leadership development (Peters & Smith, 1998; Byrnes, 2005; ASTD, 2008; Trehan & Pedler, 2011). However,…
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Low-Rank Tensor Subspace Learning for RGB-D Action Recognition.
Jia, Chengcheng; Fu, Yun
2016-07-09
Since RGB-D action data inherently equip with extra depth information compared with RGB data, recently many works employ RGB-D data in a third-order tensor representation containing spatio-temporal structure to find a subspace for action recognition. However, there are two main challenges of these methods. First, the dimension of subspace is usually fixed manually. Second, preserving local information by finding intraclass and inter-class neighbors from a manifold is highly timeconsuming. In this paper, we learn a tensor subspace, whose dimension is learned automatically by low-rank learning, for RGB-D action recognition. Particularly, the tensor samples are factorized to obtain three Projection Matrices (PMs) by Tucker Decomposition, where all the PMs are performed by nuclear norm in a close-form to obtain the tensor ranks which are used as tensor subspace dimension. Additionally, we extract the discriminant and local information from a manifold using a graph constraint. This graph preserves the local knowledge inherently, which is faster than the previous way by calculating both the intra-class and inter-class neighbors of each sample. We evaluate the proposed method on four widely used RGB-D action datasets including MSRDailyActivity3D, MSRActionPairs, MSRActionPairs skeleton and UTKinect-Action3D datasets, and the experimental results show higher accuracy and efficiency of the proposed method.
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Place-Based Learning: Action Learning in MA Program for Educational Practitioners
ERIC Educational Resources Information Center
Glassner, Amnon; Eran-Zoran, Yael
2016-01-01
The study presents a new pedagogical idea and practice for educational practitioners. The practice was developed as a workshop of MA program in order to change and expand the meaning of education for the wellbeing of the community. The "place-based learning" workshop combined action learning (AL) with project-based learning (PBL). The…
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Learning about Learning: Action Learning in Times of Organisational Change
ERIC Educational Resources Information Center
Hill, Robyn
2009-01-01
This paper explores the conduct and outcomes of an action learning activity during a period of intense organisational change in a medium-sized vocational education and training organisation in Victoria, Australia. This organisation was the subject of significant change due to government-driven and statewide amalgamation, downsizing and sector…
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Action Research Approach on Mobile Learning Design for the Underserved
ERIC Educational Resources Information Center
Kim, Paul H.
2009-01-01
This paper discusses an action research study focused on developing a mobile learning model of literacy development for underserved migrant indigenous children in Latin America. The research study incorporated a cyclical action model with four distinctive stages (Strategize, Apply, Evaluate, and Reflect) designed to guide constituencies involved…
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Experiencing Action Evaluation's Cyclic Process: Partnering Conflict, Reflection, and Action
ERIC Educational Resources Information Center
Burrows, Andrea C.; Harkness, Shelly Sheats
2016-01-01
In this article, the authors describe experiences in and offer suggestions from a course entitled "Educational Innovation for Excellence Through Action Research, Conflict Resolution, and Organizational Learning"--an action evaluation (AE). The class was taught using the principles of action research and AE. The authors explore the impact…
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ERIC Educational Resources Information Center
Ballard, Heidi L.; Belsky, Jill M.
2010-01-01
How can a participatory approach to research promote environmental learning and enhance social-ecological systems resilience? Participatory action research (PAR) is an approach to research that its' supporters claim can foster new knowledge, learning, and action to support positive social and environmental change through reorienting the standard…
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Action Recognition Using Nonnegative Action Component Representation and Sparse Basis Selection.
Wang, Haoran; Yuan, Chunfeng; Hu, Weiming; Ling, Haibin; Yang, Wankou; Sun, Changyin
2014-02-01
In this paper, we propose using high-level action units to represent human actions in videos and, based on such units, a novel sparse model is developed for human action recognition. There are three interconnected components in our approach. First, we propose a new context-aware spatial-temporal descriptor, named locally weighted word context, to improve the discriminability of the traditionally used local spatial-temporal descriptors. Second, from the statistics of the context-aware descriptors, we learn action units using the graph regularized nonnegative matrix factorization, which leads to a part-based representation and encodes the geometrical information. These units effectively bridge the semantic gap in action recognition. Third, we propose a sparse model based on a joint l2,1-norm to preserve the representative items and suppress noise in the action units. Intuitively, when learning the dictionary for action representation, the sparse model captures the fact that actions from the same class share similar units. The proposed approach is evaluated on several publicly available data sets. The experimental results and analysis clearly demonstrate the effectiveness of the proposed approach.
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ERIC Educational Resources Information Center
Rajbhandari, Mani Man Singh
2018-01-01
Obstinate actions-oriented behaviour is the study of learning and practicing behaviour theoractively, which is acquired from the content based, process based learning and spawning critical reflexivity to the learnt theoretical phenomena into practical actions. Obstinate actions-oriented behaviour is a multi-faceted behaviour that is generally…
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Learning Networks--Enabling Change through Community Action Research
ERIC Educational Resources Information Center
Bleach, Josephine
2016-01-01
Learning networks are a critical element of ethos of the community action research approach taken by the Early Learning Initiative at the National College of Ireland, a community-based educational initiative in the Dublin Docklands. Key criteria for networking, whether at local, national or international level, are the individual's and…
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Permaculture in higher education: Teaching sustainability through action learning
NASA Astrophysics Data System (ADS)
Battisti, Bryce Thomas
This is a case study of the use of Action Learning (AL) theory to teach and confer degrees in Permaculture and other forms of sustainability at the newly formed Gaia University International (GUI). In Chapter Two I argue that GUI, as an institution of higher learning, is organized to provide support for learning. The goal of the university structure is to provide students, called Associates, with a vehicle for accumulation of credit towards a bachelor's degree. This organizational structure is necessary, but insufficient for AL because Associates need more than an organization to provide and coordinate their degree programs. In other words, just because the network of university structures are organized in ways that make AL possible and convenient, it does not necessarily follow that Action Learning will occur for any individual Associate. The support structures within GUI's degrees are discussed in Chapter Three. To a greater or lesser degree GUI provides support for personal learning among Associates as advisors and advisees with the goal of helping Associates complete and document the outcomes of world-change projects. The support structures are necessary, but not sufficient for AL because the personal learning process occurring for each Associate requires transformative reflection. Additionally, because Associates' attrition rate is very high, many Associates do not remain enrolled in GUI long enough to benefit from the support structures. At the simplest organizational level I discuss the reflection process conducted in the patterned interactions of assigned learning groups called Guilds (Chapter Four). These groups of Associates work to provide each other with the best possible environment for personal learning through reflection. As its Associates experience transformative reflection, GUI is able to help elevate the quality of world-change efforts in the Permaculture community. Provided the organizational and support structures are in place, this reflection
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Defining Learning Space in a Serious Game in Terms of Operative and Resultant Actions
NASA Technical Reports Server (NTRS)
Martin, Michael W.; Shen, Yuzhong
2012-01-01
This paper explores the distinction between operative and resultant actions in games, and proposes that the learning space created by a serious game is a function of these actions. Further, it suggests a possible relationship between these actions and the forms of cognitive load imposed upon the game player. Association of specific types of cognitive load with respective forms of actions in game mechanics also presents some heuristics for integrating learning content into serious games. Research indicates that different balances of these types of actions are more suitable for novice or experienced learners. By examining these relationships, we can develop a few basic principles of game design which have an increased potential to promote positive learning outcomes.
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Dynamic mesolimbic dopamine signaling during action sequence learning and expectation violation
Collins, Anne L.; Greenfield, Venuz Y.; Bye, Jeffrey K.; Linker, Kay E.; Wang, Alice S.; Wassum, Kate M.
2016-01-01
Prolonged mesolimbic dopamine concentration changes have been detected during spatial navigation, but little is known about the conditions that engender this signaling profile or how it develops with learning. To address this, we monitored dopamine concentration changes in the nucleus accumbens core of rats throughout acquisition and performance of an instrumental action sequence task. Prolonged dopamine concentration changes were detected that ramped up as rats executed each action sequence and declined after earned reward collection. With learning, dopamine concentration began to rise increasingly earlier in the execution of the sequence and ultimately backpropagated away from stereotyped sequence actions, becoming only transiently elevated by the most distal and unexpected reward predictor. Action sequence-related dopamine signaling was reactivated in well-trained rats if they became disengaged in the task and in response to an unexpected change in the value, but not identity of the earned reward. Throughout training and test, dopamine signaling correlated with sequence performance. These results suggest that action sequences can engender a prolonged mode of dopamine signaling in the nucleus accumbens core and that such signaling relates to elements of the motivation underlying sequence execution and is dynamic with learning, overtraining and violations in reward expectation. PMID:26869075
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Leadership Development through Virtual Action Learning: An Evaluation
ERIC Educational Resources Information Center
Aspinwall, Kath; Pedler, Mike; Radcliff, Phil
2018-01-01
This paper presents a case study based on the evaluation of the two VAL (virtual action learning) sets. We report participants learning both leadership and the VAL process based on the basis of telephone interviews. We conclude that what is learned about leadership is connected with how learning takes place and suggest that the content and process…
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Learning through Participatory Action Research for Community Ecotourism Planning.
ERIC Educational Resources Information Center
Guevara, Jose Roberto Q.
1996-01-01
Ecologically sound tourism planning and policy require an empowering community participation. The participatory action research model helps a community gain understanding of its social reality, learn how to learn, initiate dialog, and discover new possibilities for addressing its situation. (SK)
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The Role of Facilitators in Project Action Learning Implementation
ERIC Educational Resources Information Center
Cao, Rui; Chuah, Kong Bieng; Chao, Yiu Chung; Kwong, Kar Fai; Law, Mo Yin
2012-01-01
Purpose: This paper addresses the importance of a more proactive role of organizational learning (OL) facilitators, learning motivation reinforcer, through a two-part longitudinal study in a case company. The first part of this study aims to investigate and analyze some unexpected challenges in the project action learning-driven (PAL) OL…
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Buchanan, John J
2016-01-01
The primary goal of this chapter is to merge together the visual perception perspective of observational learning and the coordination dynamics theory of pattern formation in perception and action. Emphasis is placed on identifying movement features that constrain and inform action-perception and action-production processes. Two sources of visual information are examined, relative motion direction and relative phase. The visual perception perspective states that the topological features of relative motion between limbs and joints remains invariant across an actor's motion and therefore are available for pickup by an observer. Relative phase has been put forth as an informational variable that links perception to action within the coordination dynamics theory. A primary assumption of the coordination dynamics approach is that environmental information is meaningful only in terms of the behavior it modifies. Across a series of single limb tasks and bimanual tasks it is shown that the relative motion and relative phase between limbs and joints is picked up through visual processes and supports observational learning of motor skills. Moreover, internal estimations of motor skill proficiency and competency are linked to the informational content found in relative motion and relative phase. Thus, the chapter links action to perception and vice versa and also links cognitive evaluations to the coordination dynamics that support action-perception and action-production processes.
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Making Facilitation Work: The Challenges on an International DBA Action Learning Set
ERIC Educational Resources Information Center
OFarrell, Jack
2018-01-01
This account relates my experiences as facilitator of an action learning set on a DBA cohort comprising international students and myself. It outlines the reasons for my selection as facilitator and describes my initial expectations and assumptions of action learning. I chart the difficulty in separating the 'what' of my own research from the…
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Critical by Design: Enacting Critical Action Learning in a Small Business Context
ERIC Educational Resources Information Center
Ram, Monder; Trehan, Kiran
2009-01-01
A small but growing strand of literature is beginning to make the case for "critical action learning" (CAL). Much of this interest operates on theoretical terrain, speculating on the extent to which it might differ from more conventional notions of action learning. This paper draws on insights from (CAL) to demonstrate the importance of being…
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Systems Thinking, Lean Production and Action Learning
ERIC Educational Resources Information Center
Seddon, John; Caulkin, Simon
2007-01-01
Systems thinking underpins "lean" management and is best understood through action-learning as the ideas are counter-intuitive. The Toyota Production System is just that--a system; the failure to appreciate that starting-place and the advocacy of "tools" leads many to fail to grasp what is, without doubt, a significant…
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A reward optimization method based on action subrewards in hierarchical reinforcement learning.
Fu, Yuchen; Liu, Quan; Ling, Xionghong; Cui, Zhiming
2014-01-01
Reinforcement learning (RL) is one kind of interactive learning methods. Its main characteristics are "trial and error" and "related reward." A hierarchical reinforcement learning method based on action subrewards is proposed to solve the problem of "curse of dimensionality," which means that the states space will grow exponentially in the number of features and low convergence speed. The method can reduce state spaces greatly and choose actions with favorable purpose and efficiency so as to optimize reward function and enhance convergence speed. Apply it to the online learning in Tetris game, and the experiment result shows that the convergence speed of this algorithm can be enhanced evidently based on the new method which combines hierarchical reinforcement learning algorithm and action subrewards. The "curse of dimensionality" problem is also solved to a certain extent with hierarchical method. All the performance with different parameters is compared and analyzed as well.
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McNamara, Martin S; Fealy, Gerard M; Casey, Mary; O'Connor, Tom; Patton, Declan; Doyle, Louise; Quinlan, Christina
2014-09-01
To evaluate mentoring, coaching and action learning interventions used to develop nurses' and midwives' clinical leadership competencies and to describe the programme participants' experiences of the interventions. Mentoring, coaching and action learning are effective interventions in clinical leadership development and were used in a new national clinical leadership development programme, introduced in Ireland in 2011. An evaluation of the programme focused on how participants experienced the interventions. A qualitative design, using multiple data sources and multiple data collection methods. Methods used to generate data on participant experiences of individual interventions included focus groups, individual interviews and nonparticipant observation. Seventy participants, including 50 programme participants and those providing the interventions, contributed to the data collection. Mentoring, coaching and action learning were positively experienced by participants and contributed to the development of clinical leadership competencies, as attested to by the programme participants and intervention facilitators. The use of interventions that are action-oriented and focused on service development, such as mentoring, coaching and action learning, should be supported in clinical leadership development programmes. Being quite different to short attendance courses, these interventions require longer-term commitment on the part of both individuals and their organisations. In using mentoring, coaching and action learning interventions, the focus should be on each participant's current role and everyday practice and on helping the participant to develop and demonstrate clinical leadership skills in these contexts. © 2014 John Wiley & Sons Ltd.
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Video Game Learning Dynamics: Actionable Measures of Multidimensional Learning Trajectories
ERIC Educational Resources Information Center
Reese, Debbie Denise; Tabachnick, Barbara G.; Kosko, Robert E.
2015-01-01
Valid, accessible, reusable methods for instructional video game design and embedded assessment can provide actionable information enhancing individual and collective achievement. Cyberlearning through game-based, metaphor-enhanced learning objects (CyGaMEs) design and embedded assessment quantify player behavior to study knowledge discovery and…
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Model-based hierarchical reinforcement learning and human action control
Botvinick, Matthew; Weinstein, Ari
2014-01-01
Recent work has reawakened interest in goal-directed or ‘model-based’ choice, where decisions are based on prospective evaluation of potential action outcomes. Concurrently, there has been growing attention to the role of hierarchy in decision-making and action control. We focus here on the intersection between these two areas of interest, considering the topic of hierarchical model-based control. To characterize this form of action control, we draw on the computational framework of hierarchical reinforcement learning, using this to interpret recent empirical findings. The resulting picture reveals how hierarchical model-based mechanisms might play a special and pivotal role in human decision-making, dramatically extending the scope and complexity of human behaviour. PMID:25267822
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Evaluating the Impact of Action Plans on Trainee Compliance with Learning Objectives
ERIC Educational Resources Information Center
Aumann, Michael J.
2013-01-01
This mixed methods research study evaluated the use of technology-based action plans as a way to help improve compliance with the learning objectives of an online training event. It explored how the action planning strategy impacted subjects in a treatment group and compared them to subjects in a control group who did not get the action plan. The…
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Action learning in virtual higher education: applying leadership theory.
Curtin, Joseph
2016-05-03
This paper reports the historical foundation of Northeastern University's course, LDR 6100: Developing Your Leadership Capability, a partial literature review of action learning (AL) and virtual action learning (VAL), a course methodology of LDR 6100 requiring students to apply leadership perspectives using VAL as instructed by the author, questionnaire and survey results of students who evaluated the effectiveness of their application of leadership theories using VAL and insights believed to have been gained by the author administering VAL. Findings indicate most students thought applying leadership perspectives using AL was better than considering leadership perspectives not using AL. In addition as implemented in LDR 6100, more students evaluated VAL positively than did those who assessed VAL negatively.
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Blended Learning in Action: A Practical Guide toward Sustainable Change
ERIC Educational Resources Information Center
Tucker, Catlin R.; Wycoff, Tiffany; Green, Jason T.
2017-01-01
Blended learning has the power to reinvent education, but transitioning to a blended model is challenging. Blended learning requires a fundamentally new approach to learning as well as a new skillset for both teachers and school leaders. Loaded with research, examples, and resources, "Blended Learning in Action" demonstrates the…
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Delivering Australian Vocational Qualifications through Action Learning
ERIC Educational Resources Information Center
Cother, Robert; Cother, Genevieve
2017-01-01
In 2009, Skills Tasmania approached the authors to deliver their Lean Action Learning programme in Tasmania. This programme had run successfully in South Australia for some five years. For Tasmania, a requirement was that participants in the programme be eligible for a nationally recognised VET qualification on completion of the programme. This…
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Unlearning, Critical Action Learning and Wicked Problems
ERIC Educational Resources Information Center
Pedler, Mike; Hsu, Shih-wei
2014-01-01
This paper explores the idea of unlearning in Critical Action Learning (CAL) as applied to the wicked problems of organisations and societies. It draws on data and ideas developed during a research project conducted for "Skills for Care" by Pedler, Abbott, Brook and Burgoyne ("Skills for Care" 2014) and from experiences on…
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Action-Driven Visual Object Tracking With Deep Reinforcement Learning.
Yun, Sangdoo; Choi, Jongwon; Yoo, Youngjoon; Yun, Kimin; Choi, Jin Young
2018-06-01
In this paper, we propose an efficient visual tracker, which directly captures a bounding box containing the target object in a video by means of sequential actions learned using deep neural networks. The proposed deep neural network to control tracking actions is pretrained using various training video sequences and fine-tuned during actual tracking for online adaptation to a change of target and background. The pretraining is done by utilizing deep reinforcement learning (RL) as well as supervised learning. The use of RL enables even partially labeled data to be successfully utilized for semisupervised learning. Through the evaluation of the object tracking benchmark data set, the proposed tracker is validated to achieve a competitive performance at three times the speed of existing deep network-based trackers. The fast version of the proposed method, which operates in real time on graphics processing unit, outperforms the state-of-the-art real-time trackers with an accuracy improvement of more than 8%.
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Hebbian learning and predictive mirror neurons for actions, sensations and emotions
Keysers, Christian; Gazzola, Valeria
2014-01-01
Spike-timing-dependent plasticity is considered the neurophysiological basis of Hebbian learning and has been shown to be sensitive to both contingency and contiguity between pre- and postsynaptic activity. Here, we will examine how applying this Hebbian learning rule to a system of interconnected neurons in the presence of direct or indirect re-afference (e.g. seeing/hearing one's own actions) predicts the emergence of mirror neurons with predictive properties. In this framework, we analyse how mirror neurons become a dynamic system that performs active inferences about the actions of others and allows joint actions despite sensorimotor delays. We explore how this system performs a projection of the self onto others, with egocentric biases to contribute to mind-reading. Finally, we argue that Hebbian learning predicts mirror-like neurons for sensations and emotions and review evidence for the presence of such vicarious activations outside the motor system. PMID:24778372
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Hebbian learning and predictive mirror neurons for actions, sensations and emotions.
Keysers, Christian; Gazzola, Valeria
2014-01-01
Spike-timing-dependent plasticity is considered the neurophysiological basis of Hebbian learning and has been shown to be sensitive to both contingency and contiguity between pre- and postsynaptic activity. Here, we will examine how applying this Hebbian learning rule to a system of interconnected neurons in the presence of direct or indirect re-afference (e.g. seeing/hearing one's own actions) predicts the emergence of mirror neurons with predictive properties. In this framework, we analyse how mirror neurons become a dynamic system that performs active inferences about the actions of others and allows joint actions despite sensorimotor delays. We explore how this system performs a projection of the self onto others, with egocentric biases to contribute to mind-reading. Finally, we argue that Hebbian learning predicts mirror-like neurons for sensations and emotions and review evidence for the presence of such vicarious activations outside the motor system.
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How to use coaching and action learning to support mentors in the workplace.
Nash, Sue; Scammell, Janet
Using the example of mentoring preregistration student nurses, this article explores facilitation of learning in the workplace and examines the use of coaching and action learning to support mentors and the wider clinical team. A case study, where a mentor has difficulties with an underperforming student, is considered. Action learning and coaching are then explored, with the aim of maximising personal and team learning. These strategies can be easily transferred to other work based learning situations.
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LEAD at Lunch: Inquiry, Learning, and Action
ERIC Educational Resources Information Center
Roberts, Cynthia
2012-01-01
This account of practice discusses the author's experience in facilitating a small group of managers in health care over lunchtime utilizing an action learning approach. This was part of a larger leadership development initiative which took place in the organization and the intention was to create a more intimate, informal and safe setting whereby…
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Learning and exploration in action-perception loops.
Little, Daniel Y; Sommer, Friedrich T
2013-01-01
Discovering the structure underlying observed data is a recurring problem in machine learning with important applications in neuroscience. It is also a primary function of the brain. When data can be actively collected in the context of a closed action-perception loop, behavior becomes a critical determinant of learning efficiency. Psychologists studying exploration and curiosity in humans and animals have long argued that learning itself is a primary motivator of behavior. However, the theoretical basis of learning-driven behavior is not well understood. Previous computational studies of behavior have largely focused on the control problem of maximizing acquisition of rewards and have treated learning the structure of data as a secondary objective. Here, we study exploration in the absence of external reward feedback. Instead, we take the quality of an agent's learned internal model to be the primary objective. In a simple probabilistic framework, we derive a Bayesian estimate for the amount of information about the environment an agent can expect to receive by taking an action, a measure we term the predicted information gain (PIG). We develop exploration strategies that approximately maximize PIG. One strategy based on value-iteration consistently learns faster than previously developed reward-free exploration strategies across a diverse range of environments. Psychologists believe the evolutionary advantage of learning-driven exploration lies in the generalized utility of an accurate internal model. Consistent with this hypothesis, we demonstrate that agents which learn more efficiently during exploration are later better able to accomplish a range of goal-directed tasks. We will conclude by discussing how our work elucidates the explorative behaviors of animals and humans, its relationship to other computational models of behavior, and its potential application to experimental design, such as in closed-loop neurophysiology studies.
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The Impact of Action Learning: What Difference Are We Making in the World?
ERIC Educational Resources Information Center
Turner, Arthur; Heneberry, Pamela
2013-01-01
Involvement in a number of action-learning programmes and associated development opportunities has led the Professional Development Centre Limited to question the relevance of a strict adherence to the "rules" of action learning as described by Reg Revans. A deliberate focus of one such programme to a financial services organisation…
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Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach.
Liu, Li; Shao, Ling; Li, Xuelong; Lu, Ke
2016-01-01
Extracting discriminative and robust features from video sequences is the first and most critical step in human action recognition. In this paper, instead of using handcrafted features, we automatically learn spatio-temporal motion features for action recognition. This is achieved via an evolutionary method, i.e., genetic programming (GP), which evolves the motion feature descriptor on a population of primitive 3D operators (e.g., 3D-Gabor and wavelet). In this way, the scale and shift invariant features can be effectively extracted from both color and optical flow sequences. We intend to learn data adaptive descriptors for different datasets with multiple layers, which makes fully use of the knowledge to mimic the physical structure of the human visual cortex for action recognition and simultaneously reduce the GP searching space to effectively accelerate the convergence of optimal solutions. In our evolutionary architecture, the average cross-validation classification error, which is calculated by an support-vector-machine classifier on the training set, is adopted as the evaluation criterion for the GP fitness function. After the entire evolution procedure finishes, the best-so-far solution selected by GP is regarded as the (near-)optimal action descriptor obtained. The GP-evolving feature extraction method is evaluated on four popular action datasets, namely KTH, HMDB51, UCF YouTube, and Hollywood2. Experimental results show that our method significantly outperforms other types of features, either hand-designed or machine-learned.
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A Framework for Hierarchical Perception-Action Learning Utilizing Fuzzy Reasoning.
Windridge, David; Felsberg, Michael; Shaukat, Affan
2013-02-01
Perception-action (P-A) learning is an approach to cognitive system building that seeks to reduce the complexity associated with conventional environment-representation/action-planning approaches. Instead, actions are directly mapped onto the perceptual transitions that they bring about, eliminating the need for intermediate representation and significantly reducing training requirements. We here set out a very general learning framework for cognitive systems in which online learning of the P-A mapping may be conducted within a symbolic processing context, so that complex contextual reasoning can influence the P-A mapping. In utilizing a variational calculus approach to define a suitable objective function, the P-A mapping can be treated as an online learning problem via gradient descent using partial derivatives. Our central theoretical result is to demonstrate top-down modulation of low-level perceptual confidences via the Jacobian of the higher levels of a subsumptive P-A hierarchy. Thus, the separation of the Jacobian as a multiplying factor between levels within the objective function naturally enables the integration of abstract symbolic manipulation in the form of fuzzy deductive logic into the P-A mapping learning. We experimentally demonstrate that the resulting framework achieves significantly better accuracy than using P-A learning without top-down modulation. We also demonstrate that it permits novel forms of context-dependent multilevel P-A mapping, applying the mechanism in the context of an intelligent driver assistance system.
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Context transfer in reinforcement learning using action-value functions.
Mousavi, Amin; Nadjar Araabi, Babak; Nili Ahmadabadi, Majid
2014-01-01
This paper discusses the notion of context transfer in reinforcement learning tasks. Context transfer, as defined in this paper, implies knowledge transfer between source and target tasks that share the same environment dynamics and reward function but have different states or action spaces. In other words, the agents learn the same task while using different sensors and actuators. This requires the existence of an underlying common Markov decision process (MDP) to which all the agents' MDPs can be mapped. This is formulated in terms of the notion of MDP homomorphism. The learning framework is Q-learning. To transfer the knowledge between these tasks, the feature space is used as a translator and is expressed as a partial mapping between the state-action spaces of different tasks. The Q-values learned during the learning process of the source tasks are mapped to the sets of Q-values for the target task. These transferred Q-values are merged together and used to initialize the learning process of the target task. An interval-based approach is used to represent and merge the knowledge of the source tasks. Empirical results show that the transferred initialization can be beneficial to the learning process of the target task.
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Context Transfer in Reinforcement Learning Using Action-Value Functions
Mousavi, Amin; Nadjar Araabi, Babak; Nili Ahmadabadi, Majid
2014-01-01
This paper discusses the notion of context transfer in reinforcement learning tasks. Context transfer, as defined in this paper, implies knowledge transfer between source and target tasks that share the same environment dynamics and reward function but have different states or action spaces. In other words, the agents learn the same task while using different sensors and actuators. This requires the existence of an underlying common Markov decision process (MDP) to which all the agents' MDPs can be mapped. This is formulated in terms of the notion of MDP homomorphism. The learning framework is Q-learning. To transfer the knowledge between these tasks, the feature space is used as a translator and is expressed as a partial mapping between the state-action spaces of different tasks. The Q-values learned during the learning process of the source tasks are mapped to the sets of Q-values for the target task. These transferred Q-values are merged together and used to initialize the learning process of the target task. An interval-based approach is used to represent and merge the knowledge of the source tasks. Empirical results show that the transferred initialization can be beneficial to the learning process of the target task. PMID:25610457
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de Oliveira, Saionara Nunes; do Prado, Marta Lenise; Kempfer, Silvana Silveira; Martini, Jussara Gue; Caravaca-Morera, Jaime Alonso; Bernardi, Mariely Carmelina
2015-02-01
This was an action research study conducted during an undergraduate nursing course. The objective was to propose and implement experiential learning for nursing consultation education using clinical simulation with actors. The 4 steps of action research were followed: planning, action, observation and reflection. Three nursing undergraduate students participated in the study. Data were collected in May and July 2013 via participant comments and interviews and were analyzed in accordance with the operative proposal for qualitative data analysis. Planning included constructing and validating the clinical guides, selecting and training the actors, organizing and preparing the scenario and the issuing invitations to the participants. The action was carried out according to Kolb's (1984) 4 stages of learning cycles: Concrete Experience, Reflective Observation, Abstract Conceptualization and Active Experimentation. Clinical simulation involves different subjects' participation in all stages, and action research is a method that enables the clinical stimulation to be implemented. It must be guided by clear learning objectives and by a critical pedagogy that encourages critical thinking in students. Using actors and a real scenario facilitated psychological fidelity, and debriefing was the key moment of the reflective process that facilitated the integral training of students through experiential learning. Copyright © 2014 Elsevier Ltd. All rights reserved.
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Kirsch, Louise P; Cross, Emily S
2015-12-01
The way in which we perceive others in action is biased by one's prior experience with an observed action. For example, we can have auditory, visual, or motor experience with actions we observe others perform. How action experience via 1, 2, or all 3 of these modalities shapes action perception remains unclear. Here, we combine pre- and post-training functional magnetic resonance imaging measures with a dance training manipulation to address how building experience (from auditory to audiovisual to audiovisual plus motor) with a complex action shapes subsequent action perception. Results indicate that layering experience across these 3 modalities activates a number of sensorimotor cortical regions associated with the action observation network (AON) in such a way that the more modalities through which one experiences an action, the greater the response is within these AON regions during action perception. Moreover, a correlation between left premotor activity and participants' scores for reproducing an action suggests that the better an observer can perform an observed action, the stronger the neural response is. The findings suggest that the number of modalities through which an observer experiences an action impacts AON activity additively, and that premotor cortical activity might serve as an index of embodiment during action observation. © The Author 2015. Published by Oxford University Press.
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Improving Adolescent Learning: An Action Agenda. A TASC Report
ERIC Educational Resources Information Center
Duffrin, Elizabeth
2014-01-01
At a recent national forum at the Ford Foundation in New York, 140 education and youth development professionals discussed how to better support adolescent learning. Drawing on the discussion and the latest research in neuroscience, psychology and cognitive learning science, TASC presents an action agenda that can be tailored to circumstances in…
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Challenges of Adopting Constructive Alignment in Action Learning Education
ERIC Educational Resources Information Center
Remneland Wikhamn, Björn
2017-01-01
This paper will critically examine how the two influential pedagogical approaches of action-based learning and constructive alignment relate to each other, and how they may differ in focus and basic assumptions. From the outset, they are based on similar underpinnings, with the student and the learning outcomes in the center. Drawing from…
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Organizational Support for Action Learning in South Korean Organizations
ERIC Educational Resources Information Center
Cho, Yonjoo; Egan, Toby
2013-01-01
The purpose of this study was (1) to examine the impact of organizational support on employee learning and performance and (2) to elaborate on the context of organizational support for action learning in South Korean organizations. For this inquiry, two central questions were posed: What are employee reactions to organizational support for action…
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Staying Mindful in Action: The Challenge of "Double Awareness" on Task and Process in an Action Lab
ERIC Educational Resources Information Center
Svalgaard, Lotte
2016-01-01
Action Learning is a well-proven method to integrate "task" and "process", as learning about team and self (process) takes place while delivering on a task or business challenge of real importance (task). An Action Lab® is an intensive Action Learning programme lasting for 5 days, which aims at balancing and integrating…
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Developing Deep Group Reflection within a Critical Reflection Action Learning Set
ERIC Educational Resources Information Center
Shepherd, Gary
2016-01-01
This account of practice describes how a manufacturing company in the North of England transformed their approach to problem-solving and action through the use of a Critical Reflection Action Learning (CRAL) methodology. The company, who had been in business for over 25 years, experienced problems due to a diminishing customer base and substantial…
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Collaborative Knowledge and Intellectual Property: An Action Learning Conundrum
ERIC Educational Resources Information Center
Elliott, Tish; Pedler, Mike
2018-01-01
If everyone is contributing, if action learning involves collective learning, then new knowledge is created through a collaborative process. This is not expert knowledge and no 'one truth' is produced, this is a collective knowledge arising from a common purpose and a shared quest. Such knowledge continues to evolve without the intention to fix or…
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Learning to Select Actions with Spiking Neurons in the Basal Ganglia
Stewart, Terrence C.; Bekolay, Trevor; Eliasmith, Chris
2012-01-01
We expand our existing spiking neuron model of decision making in the cortex and basal ganglia to include local learning on the synaptic connections between the cortex and striatum, modulated by a dopaminergic reward signal. We then compare this model to animal data in the bandit task, which is used to test rodent learning in conditions involving forced choice under rewards. Our results indicate a good match in terms of both behavioral learning results and spike patterns in the ventral striatum. The model successfully generalizes to learning the utilities of multiple actions, and can learn to choose different actions in different states. The purpose of our model is to provide both high-level behavioral predictions and low-level spike timing predictions while respecting known neurophysiology and neuroanatomy. PMID:22319465
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Basic actions to reduce dropout rates in distance learning.
Gregori, Pablo; Martínez, Vicente; Moyano-Fernández, Julio José
2018-02-01
Today's society, which is strongly based on knowledge and interaction with information, has a key component in technological innovation, a fundamental tool for the development of the current teaching methodologies. Nowadays, there are a lot of online resources, such as MOOCs (Massive Open Online Courses) and distance learning courses. One aspect that is common to all of these is a high dropout rate: about 90% in MOOCs and 50% in the courses of the Spanish National Distance Education University, among other examples. In this paper, we analyze a number of actions undertaken in the Master's Degree in Computational Mathematics at Universitat Jaume I in Castellón, Spain. These actions seem to help decrease the dropout rate in distance learning; the available data confirm their effectiveness. Copyright © 2017 Elsevier Ltd. All rights reserved.
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Beyond the Information Given: Infants' Transfer of Actions Learned through Imitation
ERIC Educational Resources Information Center
Yang, Dahe; Sidman, Jason; Bushnell, Emily W.
2010-01-01
Five experiments were conducted to investigate infants' ability to transfer actions learned via imitation to new objects and to examine what components of the original context are critical to such transfer. Infants of 15 months observed an experimenter perform an action with one or two toys and then were offered a novel toy that was not…
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Vollmer, Anna-Lisa; Mühlig, Manuel; Steil, Jochen J; Pitsch, Karola; Fritsch, Jannik; Rohlfing, Katharina J; Wrede, Britta
2014-01-01
Robot learning by imitation requires the detection of a tutor's action demonstration and its relevant parts. Current approaches implicitly assume a unidirectional transfer of knowledge from tutor to learner. The presented work challenges this predominant assumption based on an extensive user study with an autonomously interacting robot. We show that by providing feedback, a robot learner influences the human tutor's movement demonstrations in the process of action learning. We argue that the robot's feedback strongly shapes how tutors signal what is relevant to an action and thus advocate a paradigm shift in robot action learning research toward truly interactive systems learning in and benefiting from interaction.
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Vollmer, Anna-Lisa; Mühlig, Manuel; Steil, Jochen J.; Pitsch, Karola; Fritsch, Jannik; Rohlfing, Katharina J.; Wrede, Britta
2014-01-01
Robot learning by imitation requires the detection of a tutor's action demonstration and its relevant parts. Current approaches implicitly assume a unidirectional transfer of knowledge from tutor to learner. The presented work challenges this predominant assumption based on an extensive user study with an autonomously interacting robot. We show that by providing feedback, a robot learner influences the human tutor's movement demonstrations in the process of action learning. We argue that the robot's feedback strongly shapes how tutors signal what is relevant to an action and thus advocate a paradigm shift in robot action learning research toward truly interactive systems learning in and benefiting from interaction. PMID:24646510
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Action Learning: The Possibility of Differing Hierarchies in Learning Sets
ERIC Educational Resources Information Center
Yeadon-Lee, Annie
2013-01-01
This paper presents the proposition that a variety of differing hierarchies exist in an action learning set at any one time, and each hierarchy has the potential to affect an individual's behaviour within the set. An interpretivist philosophy underpins the research framework adopted in this paper. Data were captured by means of 11 in-depth…
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How Action-Learning Coaches Foster a Climate Conducive to Learning
ERIC Educational Resources Information Center
Gibson, Sara Henderson
2011-01-01
Today's businesses rely on the effective functioning of self-directed work teams to learn how to solve complex problems and take action. A key factor in a team's ability to perform in this manner is a group climate characterized by psychological safety. Psychological safety must often compete with a climate of evaluative pressure frequently found…
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Collaborative Action Research on Technology Integration for Science Learning
ERIC Educational Resources Information Center
Wang, Chien-hsing; Ke, Yi-Ting; Wu, Jin-Tong; Hsu, Wen-Hua
2012-01-01
This paper briefly reports the outcomes of an action research inquiry on the use of blogs, MS PowerPoint [PPT], and the Internet as learning tools with a science class of sixth graders for project-based learning. Multiple sources of data were essential to triangulate the key findings articulated in this paper. Corresponding to previous studies,…
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The Contradictions of Impact: Action Learning and Power in Organizations
ERIC Educational Resources Information Center
Vince, Russ
2012-01-01
In this polemical essay, Professor Russ Vince argues that it is important to understand the contradictions that can be generated by action learning. This method is a powerful and effective approach to managers' learning that can underpin transformations of management practice. However, any method for learning, no matter how convinced we are of its…
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Leadership Development in SMEs: An Action Learning Approach
ERIC Educational Resources Information Center
Leitch, Claire M.; McMullan, Christel; Harrison, Richard T.
2009-01-01
In this paper we evaluate an action learning-based, leadership development programme designed for founders and leaders of growth-oriented, entrepreneurial small to medium-sized enterprises. Based on in-depth, qualitative interviews with participants on one cohort, undertaken two years after completion of the seven-month programme, we demonstrate…
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Collaborative Action Research on Technology Integration for Science Learning
NASA Astrophysics Data System (ADS)
Wang, Chien-Hsing; Ke, Yi-Ting; Wu, Jin-Tong; Hsu, Wen-Hua
2012-02-01
This paper briefly reports the outcomes of an action research inquiry on the use of blogs, MS PowerPoint [PPT], and the Internet as learning tools with a science class of sixth graders for project-based learning. Multiple sources of data were essential to triangulate the key findings articulated in this paper. Corresponding to previous studies, the incorporation of technology and project-based learning could motivate students in self-directed exploration. The students were excited about the autonomy over what to learn and the use of PPT to express what they learned. Differing from previous studies, the findings pointed to the lack information literacy among students. The students lacked information evaluation skills, note-taking and information synthesis. All these findings imply the importance of teaching students about information literacy and visual literacy when introducing information technology into the classroom. The authors suggest that further research should focus on how to break the culture of "copy-and-paste" by teaching the skills of note-taking and synthesis through inquiry projects for science learning. Also, further research on teacher professional development should focus on using collaboration action research as a framework for re-designing graduate courses for science teachers in order to enhance classroom technology integration.
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Patterns in Elementary School Students' Strategic Actions in Varying Learning Situations
ERIC Educational Resources Information Center
Malmberg, Jonna; Järvenoja, Hanna; Järvelä, Sanna
2013-01-01
This study uses log file traces to examine differences between high-and low-achieving students' strategic actions in varying learning situations. In addition, this study illustrates, in detail, what strategic and self-regulated learning constitutes in practice. The study investigates the learning patterns that emerge in learning situations…
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ERIC Educational Resources Information Center
Gearty, Margaret
2015-01-01
This paper explores the combination of storytelling and reflective action research as a means to effect change and learning within and across communities and organizations. Taking the complex challenge of "pro-environmental behaviour change" as an example, the paper reflects on the experiences of a pilot project run for the UK government…
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Dorsal striatum is necessary for stimulus-value but not action-value learning in humans
Vo, Khoi; Rutledge, Robb B.; Chatterjee, Anjan
2014-01-01
Several lines of evidence implicate the striatum in learning from experience on the basis of positive and negative feedback. However, the necessity of the striatum for such learning has been difficult to demonstrate in humans, because brain damage is rarely restricted to this structure. Here we test a rare individual with widespread bilateral damage restricted to the dorsal striatum. His performance was impaired and not significantly different from chance on several classic learning tasks, consistent with current theories regarding the role of the striatum. However, he also exhibited remarkably intact performance on a different subset of learning paradigms. The tasks he could perform can all be solved by learning the value of actions, while those he could not perform can only be solved by learning the value of stimuli. Although dorsal striatum is often thought to play a specific role in action-value learning, we find surprisingly that dorsal striatum is necessary for stimulus-value but not action-value learning in humans. PMID:25273995
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The Innovation Paradox: A Selective Review of the Literature on Action Learning and Innovation
ERIC Educational Resources Information Center
Pedler, Mike; Brook, Cheryl
2017-01-01
This paper explores selective literatures in the two fields of action learning and innovation, and seeks insights into the processes of, and connections between, innovation, engagement and implementation. We searched the action learning articles for references to innovation, beginning with the work of Revans, who highlights the innovation paradox,…
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Demonstrating and Evaluating an Action Learning Approach to Building Project Management Competence
NASA Technical Reports Server (NTRS)
Kotnour, Tim; Starr, Stan; Steinrock, T. (Technical Monitor)
2001-01-01
This paper contributes a description of an action-learning approach to building project management competence. This approach was designed, implemented, and evaluated for use with the Dynacs Engineering Development Contract at the Kennedy Space Center. The aim of the approach was to improve three levels of competence within the organization: individual project management skills, project team performance. and organizational capabilities such as the project management process and tools. The overall steps to the approach, evaluation results, and lessons learned are presented. Managers can use this paper to design a specific action-learning approach for their organization.
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ERIC Educational Resources Information Center
Yorks, Lyle; Dilworth, Robert L.; Marquardt, Michael J.; Marsick, Victoria; O'Neil, Judy
Action learning is receiving increasing attention from human resource development (HRD) practitioners and the HRD management literature. Action learning has been characterized as follows: (1) working in small groups to take action on meaningful problems while seeking to learn from having taken the specified action lies at the foundation of action…
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ERIC Educational Resources Information Center
Brook, Cheryl
2010-01-01
In adapting Bowles' and Gintis's correspondence principle of education, this paper suggests that there are ways in which the theory and practice of action learning developed "in correspondence" with the NHS. In doing so, the paper draws, in part, upon an historical assessment of Revans' Hospital Internal Communications Project of the…
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Imitation and observational learning of hand actions: prefrontal involvement and connectivity.
Higuchi, S; Holle, H; Roberts, N; Eickhoff, S B; Vogt, S
2012-01-16
The first aim of this event-related fMRI study was to identify the neural circuits involved in imitation learning. We used a rapid imitation task where participants directly imitated pictures of guitar chords. The results provide clear evidence for the involvement of dorsolateral prefrontal cortex, as well as the fronto-parietal mirror circuit (FPMC) during action imitation when the requirements for working memory are low. Connectivity analyses further indicated a robust connectivity between left prefrontal cortex and the components of the FPMC bilaterally. We conclude that a mechanism of automatic perception-action matching alone is insufficient to account for imitation learning. Rather, the motor representation of an observed, complex action, as provided by the FPMC, only serves as the 'raw material' for higher-order supervisory and monitoring operations associated with the prefrontal cortex. The second aim of this study was to assess whether these neural circuits are also recruited during observational practice (OP, without motor execution), or only during physical practice (PP). Whereas prefrontal cortex was not consistently activated in action observation across all participants, prefrontal activation intensities did predict the behavioural practice effects, thus indicating a crucial role of prefrontal cortex also in OP. In addition, whilst OP and PP produced similar activation intensities in the FPMC when assessed during action observation, during imitative execution, the practice-related activation decreases were significantly more pronounced for PP than for OP. This dissociation indicates a lack of execution-related resources in observationally practised actions. More specifically, we found neural efficiency effects in the right motor cingulate-basal ganglia circuit and the FPMC that were only observed after PP but not after OP. Finally, we confirmed that practice generally induced activation decreases in the FPMC during both action observation and
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Task-Based Language Learning and Teaching: An Action-Research Study
ERIC Educational Resources Information Center
Calvert, Megan; Sheen, Younghee
2015-01-01
The creation, implementation, and evaluation of language learning tasks remain a challenge for many teachers, especially those with limited experience with using tasks in their teaching. This action-research study reports on one teacher's experience of developing, implementing, critically reflecting on, and modifying a language learning task…
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Models, Definitions, and Outcome Variables of Action Learning: A Synthesis with Implications for HRD
ERIC Educational Resources Information Center
Chenhall, Everon C.; Chermack, Thomas J.
2010-01-01
Purpose: The purpose of this paper is to propose an integrated model of action learning based on an examination of four reviewed action learning models, definitions, and espoused outcomes. Design/methodology/approach: A clear articulation of the strengths and limitations of each model was essential to developing an integrated model, which could be…
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ERIC Educational Resources Information Center
Tsai, Ching-tien
2014-01-01
There are marked similarities between Confucian ideas about the relationship between action, knowledge and learning, and contemporary educational thinking about action research. Examples can be seen in the relationship between action and research. First, Confucius emphasized the importance of "action" which was different from…
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"Knowing Is Not Enough; We Must Apply": Reflections on a Failed Action Learning Application
ERIC Educational Resources Information Center
Reese, Simon
2015-01-01
This paper reflects upon a sub-optimal action learning application with a strategic business re-design project. The objective of the project was to improve the long-term business performance of a subsidiary business and build the strategic plan. Action learning was introduced to aid the group in expanding their view of the real problems…
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ERIC Educational Resources Information Center
Maunders, Keith
1988-01-01
The author reports on his experience in organizing and running a two-week workshop for finance officers of African trade unions. A notable aspect of this was an attempt to use action learning methodology. He illustrates the advantages and the barriers to applying the action learning philosophy in a relatively short-period, off-site training…
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Bourdieu's Habitus and Field: Implications on the Practice and Theory of Critical Action Learning
ERIC Educational Resources Information Center
Warwick, Rob; McCray, Janet; Board, Douglas
2017-01-01
This paper considers the logic of practice of the French sociologist Pierre Bourdieu in relation to critical action learning: in particular "habitus" which is co-created with field and the interplay amongst the two in the form of misrecognition and risk. We draw on interviews with participants who have experienced action learning as part…
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Learning from Action Research about Science Teacher Preparation
ERIC Educational Resources Information Center
Mitchener, Carole P.; Jackson, Wendy M.
2012-01-01
In this article, we present a case study of a beginning science teacher's year-long action research project, during which she developed a meaningful grasp of learning from practice. Wendy was a participant in the middle grade science program designed for career changers from science professions who had moved to teaching middle grade science. An…
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ERIC Educational Resources Information Center
Wilson, Keithia; Fowler, Jane
2005-01-01
This study investigated whether students' approaches to learning were influenced by the design of university courses. Pre- and post-evaluations of the approaches to learning of the same group of students concurrently enrolled in a conventional course (lectures and tutorials) and an action learning-based course (project work, learning groups) were…
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The Nurses Memorandum of 1938: A First Step in the Development of Action Learning?
ERIC Educational Resources Information Center
Bourner, Tom; Brook, Cheryl; Pedler, Mike
2018-01-01
This article concerns the origins of the idea of action learning, especially the claim by Revans that his Memorandum on "The Entry of Girls into the Nursing Profession" in Essex hospitals written in 1938 was the first step in the development of action learning. Whilst Revans repeatedly made this claim, there is no evidence in the actual…
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Kobza, Stefan; Bellebaum, Christian
2015-01-01
Learning of stimulus-response-outcome associations is driven by outcome prediction errors (PEs). Previous studies have shown larger PE-dependent activity in the striatum for learning from own as compared to observed actions and the following outcomes despite comparable learning rates. We hypothesised that this finding relates primarily to a stronger integration of action and outcome information in active learners. Using functional magnetic resonance imaging, we investigated brain activations related to action-dependent PEs, reflecting the deviation between action values and obtained outcomes, and action-independent PEs, reflecting the deviation between subjective values of response-preceding cues and obtained outcomes. To this end, 16 active and 15 observational learners engaged in a probabilistic learning card-guessing paradigm. On each trial, active learners saw one out of five cues and pressed either a left or right response button to receive feedback (monetary win or loss). Each observational learner observed exactly those cues, responses and outcomes of one active learner. Learning performance was assessed in active test trials without feedback and did not differ between groups. For both types of PEs, activations were found in the globus pallidus, putamen, cerebellum, and insula in active learners. However, only for action-dependent PEs, activations in these structures and the anterior cingulate were increased in active relative to observational learners. Thus, PE-related activity in the reward system is not generally enhanced in active relative to observational learning but only for action-dependent PEs. For the cerebellum, additional activations were found across groups for cue-related uncertainty, thereby emphasising the cerebellum's role in stimulus-outcome learning. Copyright © 2014 Elsevier Ltd. All rights reserved.
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ERIC Educational Resources Information Center
Fuchs, Barbara
2007-01-01
New product development and commercialization are essential to entrepreneurial growth and international competitiveness. Excellence in this area is strongly supported by individual and organizational learning efforts. By analyzing how Japanese car manufacturer Toyota organizes learning, this paper evaluates the potential of action learning to…
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Paulus, Markus; Hunnius, Sabine; Bekkering, Harold
2013-10-01
Social transmission of knowledge is one of the reasons for human evolutionary success, and it has been suggested that already human infants possess eminent social learning abilities. However, nothing is known about the neurocognitive mechanisms that subserve infants' acquisition of novel action knowledge through the observation of other people's actions and their consequences in the physical world. In an electroencephalogram study on social learning in infancy, we demonstrate that 9-month-old infants represent the environmental effects of others' actions in their own motor system, although they never achieved these effects themselves before. The results provide first insights into the neurocognitive basis of human infants' unique ability for social learning of novel action knowledge.
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Prefrontal involvement in imitation learning of hand actions: effects of practice and expertise.
Vogt, Stefan; Buccino, Giovanni; Wohlschläger, Afra M; Canessa, Nicola; Shah, N Jon; Zilles, Karl; Eickhoff, Simon B; Freund, Hans-Joachim; Rizzolatti, Giacomo; Fink, Gereon R
2007-10-01
In this event-related fMRI study, we demonstrate the effects of a single session of practising configural hand actions (guitar chords) on cortical activations during observation, motor preparation and imitative execution. During the observation of non-practised actions, the mirror neuron system (MNS), consisting of inferior parietal and ventral premotor areas, was more strongly activated than for the practised actions. This finding indicates a strong role of the MNS in the early stages of imitation learning. In addition, the left dorsolateral prefrontal cortex (DLPFC) was selectively involved during observation and motor preparation of the non-practised chords. This finding confirms Buccino et al.'s [Buccino, G., Vogt, S., Ritzl, A., Fink, G.R., Zilles, K., Freund, H.-J., Rizzolatti, G., 2004a. Neural circuits underlying imitation learning of hand actions: an event-related fMRI study. Neuron 42, 323-334] model of imitation learning: for actions that are not yet part of the observer's motor repertoire, DLPFC engages in operations of selection and combination of existing, elementary representations in the MNS. The pattern of prefrontal activations further supports Shallice's [Shallice, T., 2004. The fractionation of supervisory control. In: Gazzaniga, M.S. (Ed.), The Cognitive Neurosciences, Third edition. MIT Press, Cambridge, MA, pp. 943-956] proposal of a dominant role of the left DLPFC in modulating lower level systems and of a dominant role of the right DLPFC in monitoring operations.
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ERIC Educational Resources Information Center
Bwegyeme, Jacinta; Munene, John C.
2015-01-01
The article presents an account of how action learning principles were implemented to alleviate complex problems in universities. It focuses on the registrars and administrators under the academic Registrar's department. The Marquardt model of action learning was used in combination with the constructivist theories of learning, namely community of…
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Tamosiunaite, Minija; Asfour, Tamim; Wörgötter, Florentin
2009-03-01
Reinforcement learning methods can be used in robotics applications especially for specific target-oriented problems, for example the reward-based recalibration of goal directed actions. To this end still relatively large and continuous state-action spaces need to be efficiently handled. The goal of this paper is, thus, to develop a novel, rather simple method which uses reinforcement learning with function approximation in conjunction with different reward-strategies for solving such problems. For the testing of our method, we use a four degree-of-freedom reaching problem in 3D-space simulated by a two-joint robot arm system with two DOF each. Function approximation is based on 4D, overlapping kernels (receptive fields) and the state-action space contains about 10,000 of these. Different types of reward structures are being compared, for example, reward-on- touching-only against reward-on-approach. Furthermore, forbidden joint configurations are punished. A continuous action space is used. In spite of a rather large number of states and the continuous action space these reward/punishment strategies allow the system to find a good solution usually within about 20 trials. The efficiency of our method demonstrated in this test scenario suggests that it might be possible to use it on a real robot for problems where mixed rewards can be defined in situations where other types of learning might be difficult.
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Learning Sequences of Actions in Collectives of Autonomous Agents
NASA Technical Reports Server (NTRS)
Turner, Kagan; Agogino, Adrian K.; Wolpert, David H.; Clancy, Daniel (Technical Monitor)
2001-01-01
In this paper we focus on the problem of designing a collective of autonomous agents that individually learn sequences of actions such that the resultant sequence of joint actions achieves a predetermined global objective. We are particularly interested in instances of this problem where centralized control is either impossible or impractical. For single agent systems in similar domains, machine learning methods (e.g., reinforcement learners) have been successfully used. However, applying such solutions directly to multi-agent systems often proves problematic, as agents may work at cross-purposes, or have difficulty in evaluating their contribution to achievement of the global objective, or both. Accordingly, the crucial design step in multiagent systems centers on determining the private objectives of each agent so that as the agents strive for those objectives, the system reaches a good global solution. In this work we consider a version of this problem involving multiple autonomous agents in a grid world. We use concepts from collective intelligence to design goals for the agents that are 'aligned' with the global goal, and are 'learnable' in that agents can readily see how their behavior affects their utility. We show that reinforcement learning agents using those goals outperform both 'natural' extensions of single agent algorithms and global reinforcement, learning solutions based on 'team games'.
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ERIC Educational Resources Information Center
Kellie, Jean; Henderson, Eileen; Milsom, Brian; Crawley, Hayley
2010-01-01
This account of practice reports on an action learning initiative designed and implemented in partnership between a regional NHS Acute Trust and a UK Business School. The central initiative was the implementation of an action learning programme entitled "Leading change in tissue viability best practice: a development programme for Link Nurse…
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ERIC Educational Resources Information Center
Abbott, Christine; Weiss, Michael
2016-01-01
The notion of action learning driven innovation is explored with reference to three action-learning projects carried out in the last year and a proposed multi stakeholder project starting in 2016. The authors also provide an account of "innovation", including its rationale and characteristics, and argues for its particular suitability in…
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ERIC Educational Resources Information Center
Lasky, Barbara; Tempone, Irene
2004-01-01
Action learning techniques are well suited to the teaching of organisation behaviour students because of their flexibility, inclusiveness, openness, and respect for individuals. They are no less useful as a tool for change for vocational teachers, learning, of necessity, to become researchers. Whereas traditional universities have always had a…
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Action Learning and Organisation Development: Overlapping Fields of Practice
ERIC Educational Resources Information Center
Edmonstone, John
2011-01-01
This paper explores the relationship between action learning and Organisation Development (OD). It proposes that they are overlapping fields of practice, with interesting similarities and differences. Both fields of practice are experienced as challenging to conventional ways of viewing organisations and people but are also subject to increasing…
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ERIC Educational Resources Information Center
Wang, Jinshuai; Bloodworth, Mike
2016-01-01
This paper describes an action learning programme with China Unicom Broadband Limited (CUBO) to support its vision of transforming to become a world-leading broadband communications and information service provider. 64 Department directors and supervisors were invited to take part in the "China Unicom Broadband Online Phoenix Action Learning…
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Joint Facial Action Unit Detection and Feature Fusion: A Multi-conditional Learning Approach.
Eleftheriadis, Stefanos; Rudovic, Ognjen; Pantic, Maja
2016-10-05
Automated analysis of facial expressions can benefit many domains, from marketing to clinical diagnosis of neurodevelopmental disorders. Facial expressions are typically encoded as a combination of facial muscle activations, i.e., action units. Depending on context, these action units co-occur in specific patterns, and rarely in isolation. Yet, most existing methods for automatic action unit detection fail to exploit dependencies among them, and the corresponding facial features. To address this, we propose a novel multi-conditional latent variable model for simultaneous fusion of facial features and joint action unit detection. Specifically, the proposed model performs feature fusion in a generative fashion via a low-dimensional shared subspace, while simultaneously performing action unit detection using a discriminative classification approach. We show that by combining the merits of both approaches, the proposed methodology outperforms existing purely discriminative/generative methods for the target task. To reduce the number of parameters, and avoid overfitting, a novel Bayesian learning approach based on Monte Carlo sampling is proposed, to integrate out the shared subspace. We validate the proposed method on posed and spontaneous data from three publicly available datasets (CK+, DISFA and Shoulder-pain), and show that both feature fusion and joint learning of action units leads to improved performance compared to the state-of-the-art methods for the task.
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Action Learning: a new method to increase tractor rollover protective structure (ROPS) adoption.
Biddle, Elyce Anne; Keane, Paul R
2012-01-01
Action Learning is a problem-solving process that is used in various industries to address difficult problems. This project applied Action Learning to a leading problem in agricultural safety. Tractor overturns are the leading cause of fatal injury to farmworkers. This cause of injury is preventable using rollover protective structures (ROPS), protective equipment that functions as a roll bar structure to protect the operator in the event of an overturn. For agricultural tractors manufactured after 1976 and employee operated, Occupational Safety and Health Administration (OSHA) regulation requires employers to equip them with ROPS and seat belts. By the mid-1980s, US tractor manufacturers began adding ROPS on all farm tractors over 20 horsepower sold in the United States (http://www.nasdonline.org/document/113/d001656/rollover-protection-for-farm-tractor-operators.html). However, many older tractors remain in use without ROPS, putting tractor operators at continued risk for traumatic injury and fatality. For many older tractor models ROPS are available for retrofit, but for a variety of reasons, tractor owners have not chosen to retrofit those ROPS. The National Institute for Occupational Safety and Health (NIOSH) attempted various means to ameliorate this occupational safety risk, including the manufacture of a low-cost ROPS for self-assembly. Other approaches address barriers to adoption. An Action Learning approach to increasing adoption of ROPS was followed in Virginia and New York, with mixed results. Virginia took action to increase the manufacturing and adoption of ROPS, but New York saw problems that would be insurmountable. Increased focus on team composition might be needed to establish effective Action Learning teams to address this problem.
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Action Learning: A New Method to Increase Tractor Rollover Protective Structure (ROPS) Adoption
Biddle, Elyce Anne; Keane, Paul R.
2016-01-01
Action Learning is a problem-solving process that is used in various industries to address difficult problems. This project applied Action Learning to a leading problem in agricultural safety. Tractor overturns are the leading cause of fatal injury to farmworkers. This cause of injury is preventable using rollover protective structures (ROPS), protective equipment that functions as a roll bar structure to protect the operator in the event of an overturn. For agricultural tractors manufactured after 1976 and employee operated, Occupational Safety and Health Administration (OSHA) regulation requires employers to equip them with ROPS and seat belts. By the mid-1980s, US tractor manufacturers began adding ROPS on all farm tractors over 20 horsepower sold in the United States (http://www.nasdonline.org/document/113/d001656/rollover-protection-for-farm-tractor-operators.html). However, many older tractors remain in use without ROPS, putting tractor operators at continued risk for traumatic injury and fatality. For many older tractor models ROPS are available for retrofit, but for a variety of reasons, tractor owners have not chosen to retrofit those ROPS. The National Institute for Occupational Safety and Health (NIOSH) attempted various means to ameliorate this occupational safety risk, including the manufacture of a low-cost ROPS for self-assembly. Other approaches address barriers to adoption. An Action Learning approach to increasing adoption of ROPS was followed in Virginia and New York, with mixed results. Virginia took action to increase the manufacturing and adoption of ROPS, but New York saw problems that would be insurmountable. Increased focus on team composition might be needed to establish effective Action Learning teams to address this problem. PMID:22994641
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Freundlieb, Nils; Ridder, Volker; Dobel, Christian; Enriquez-Geppert, Stefanie; Baumgaertner, Annette; Zwitserlood, Pienie; Gerloff, Christian; Hummel, Friedhelm C; Liuzzi, Gianpiero
2012-01-01
Despite a growing number of studies, the neurophysiology of adult vocabulary acquisition is still poorly understood. One reason is that paradigms that can easily be combined with neuroscientfic methods are rare. Here, we tested the efficiency of two paradigms for vocabulary (re-) acquisition, and compared the learning of novel words for actions and objects. Cortical networks involved in adult native-language word processing are widespread, with differences postulated between words for objects and actions. Words and what they stand for are supposed to be grounded in perceptual and sensorimotor brain circuits depending on their meaning. If there are specific brain representations for different word categories, we hypothesized behavioural differences in the learning of action-related and object-related words. Paradigm A, with the learning of novel words for body-related actions spread out over a number of days, revealed fast learning of these new action words, and stable retention up to 4 weeks after training. The single-session Paradigm B employed objects and actions. Performance during acquisition did not differ between action-related and object-related words (time*word category: p = 0.01), but the translation rate was clearly better for object-related (79%) than for action-related words (53%, p = 0.002). Both paradigms yielded robust associative learning of novel action-related words, as previously demonstrated for object-related words. Translation success differed for action- and object-related words, which may indicate different neural mechanisms. The paradigms tested here are well suited to investigate such differences with neuroscientific means. Given the stable retention and minimal requirements for conscious effort, these learning paradigms are promising for vocabulary re-learning in brain-lesioned people. In combination with neuroimaging, neuro-stimulation or pharmacological intervention, they may well advance the understanding of language learning
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An Extreme Case of Action Learning at BAT Niemeyer
ERIC Educational Resources Information Center
Eckstein, Emiel; Veenhoven, Gert; De Loo, Ivo
2009-01-01
Becoming a "winning organization" when one currently is an "ugly ducking" can be a difficult and strenuous task. BAT Niemeyer in the Netherlands succeeded in making such a transformation over the course of four years. Action learning was used, among other methods, to steer part of this transformation, in which employee…
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NASA Astrophysics Data System (ADS)
Morris, Kathryn Michelle
Community colleges enroll more than half of the undergraduate population in the United States, thereby retaining students of varying demographics with extracurricular demands differing from traditional four-year university students. Often in a collegiate lecture course, students are limited in their abilities to absorb and process information presented by their instructors due to content-specific cognitive gaps between the instructor and the student (Preszler, 2009). Research has shown that implementation of instructor-facilitated action learning workshops as supplemental instruction may help bridge these cognitive gaps allowing better student conceptualization and dissemination of knowledge (Drake, 2011; Fullilove & Treisman, 1990; Preszler, 2009; Udovic, Morris, Dickman, Postlethwait, & Wetherwax, 2002). The purpose of this study was to determine the effects of cooperative action learning workshops and independent action learning workshops on students' knowledge of specified topics within a General Biology I with lab course. The results of this investigation indicate that implementation of an instructor-facilitated action learning workshop did not affect students' knowledge gain; furthermore, attendance of a particular workshop style (independent or cooperative) did not affect students' knowledge gain.
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ERIC Educational Resources Information Center
Clark, Elaine
2009-01-01
This article reports on the launching of the Revans Academy for Action Learning and Research at Manchester Business School on 26 November 2008. The goal of the Academy is to foster the development of action learning as a unifying framework within Manchester Business School. Its goal is to provide a hub for dialogue, collaboration, exploitation and…
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Segmenting Dynamic Human Action via Statistical Structure
ERIC Educational Resources Information Center
Baldwin, Dare; Andersson, Annika; Saffran, Jenny; Meyer, Meredith
2008-01-01
Human social, cognitive, and linguistic functioning depends on skills for rapidly processing action. Identifying distinct acts within the dynamic motion flow is one basic component of action processing; for example, skill at segmenting action is foundational to action categorization, verb learning, and comprehension of novel action sequences. Yet…
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Balleine, Bernard W; O'Doherty, John P
2010-01-01
Recent behavioral studies in both humans and rodents have found evidence that performance in decision-making tasks depends on two different learning processes; one encoding the relationship between actions and their consequences and a second involving the formation of stimulus–response associations. These learning processes are thought to govern goal-directed and habitual actions, respectively, and have been found to depend on homologous corticostriatal networks in these species. Thus, recent research using comparable behavioral tasks in both humans and rats has implicated homologous regions of cortex (medial prefrontal cortex/medial orbital cortex in humans and prelimbic cortex in rats) and of dorsal striatum (anterior caudate in humans and dorsomedial striatum in rats) in goal-directed action and in the control of habitual actions (posterior lateral putamen in humans and dorsolateral striatum in rats). These learning processes have been argued to be antagonistic or competing because their control over performance appears to be all or none. Nevertheless, evidence has started to accumulate suggesting that they may at times compete and at others cooperate in the selection and subsequent evaluation of actions necessary for normal choice performance. It appears likely that cooperation or competition between these sources of action control depends not only on local interactions in dorsal striatum but also on the cortico-basal ganglia network within which the striatum is embedded and that mediates the integration of learning with basic motivational and emotional processes. The neural basis of the integration of learning and motivation in choice and decision-making is still controversial and we review some recent hypotheses relating to this issue. PMID:19776734
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An Action Learning Project on Diversity: Pitfalls and Possibilities.
ERIC Educational Resources Information Center
Hite, Linda M.
1997-01-01
In a college course on diversity in the workplace, students' experiences with conducting a cultural audit of the university as a workplace illustrate the dilemmas that can arise when students conduct action research in a real client system. Despite the inherent problems, the project resulted in significant student learning about the subject and…
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Sowing the Seeds of Change: Action Learning in Merseytravel
ERIC Educational Resources Information Center
Thornton, Andy
2010-01-01
Merseytravel is a large and diverse public sector organisation facing significant changes, but faced with a cultural inertia which is a legacy inherited from historical management styles. Action learning is now being used with great success as part of their change programme, to promote empowerment of the staff, challenge historical ways of working…
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The Compatibility of Action Learning with Inner Game Coaching
ERIC Educational Resources Information Center
Aitkenhead, Andy
2009-01-01
Using "inner game" coaching techniques in the remediation of a challenged programme at a Global Investment Bank the environment was transformed into a delivery focused culture. The techniques included group sessions that would be familiar to anyone aware of action learning and were an integral part of the strategy to ensure sustainable…
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The Origins of Verb Learning: Preverbal and Postverbal Infants' Learning of Word-Action Relations
ERIC Educational Resources Information Center
Gogate, Lakshmi; Maganti, Madhavilatha
2017-01-01
Purpose: This experiment examined English- or Spanish-learning preverbal (8-9 months, n = 32) and postverbal (12-14 months, n = 40) infants' learning of word-action pairings prior to and after the transition to verb comprehension and its relation to naturally learned vocabulary. Method: Infants of both verbal levels were first habituated to 2…
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Action Research in a Business Classroom--Another Lens to Examine Learning
ERIC Educational Resources Information Center
Smith, Janice Witt; Clark, Gloria
2010-01-01
This research study looks at the implementation of an action research project within a blended learning human resource management class in employee and labor relations. The internal and external environment created conditions that converged in the Perfect Storm and resulted in an almost disastrous learning experience for faculty and students. What…
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Professional Learning in Canada: Learning Forward Releases a Landmark Study and Call to Action
ERIC Educational Resources Information Center
Learning Professional, 2017
2017-01-01
Learning Forward recently released findings from a new study that fills a long-standing gap in existing Pan-Canadian research, identifying key components of effective professional learning based on findings from educators' experiences in Canada. Accompanying the study is a call to action by Michael Fullan and Andy Hargreaves making the case for a…
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The Methods of Teaching Course Based on Constructivist Learning Approach: An Action Research
ERIC Educational Resources Information Center
Altun, Sertel; Yücel-Toy, Banu
2015-01-01
This purpose of this study is to investigate how the course designed based on constructivist principles has been implemented, what actions have been taken to solve problems and what thoughts have arisen in the minds of teacher candidates with regard to the constructivist learning approach. In this study, an action research was employed which…
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Laurent, Vincent; Balleine, Bernard W
2015-04-20
The capacity to extract causal knowledge from the environment allows us to predict future events and to use those predictions to decide on a course of action. Although evidence of such causal reasoning has long been described, recent evidence suggests that using predictive knowledge to guide decision-making in this way is predicated on reasoning about causes in two quite distinct ways: choosing an action can be based on the interaction between predictive information and the consequences of that action, or, alternatively, actions can be selected based on the consequences that they do not produce. The latter counterfactual reasoning is highly adaptive because it allows us to use information about both present and absent events to guide decision-making. Nevertheless, although there is now evidence to suggest that animals other than humans, including rats and birds, can engage in causal reasoning of one kind or another, there is currently no evidence that they use counterfactual reasoning to guide choice. To assess this question, we gave rats the opportunity to learn new action-outcome relationships, after which we probed the structure of this learning by presenting excitatory and inhibitory cues predicting that the specific outcomes of their actions would either occur or would not occur. Whereas the excitors biased choice toward the action delivering the predicted outcome, the inhibitory cues selectively elevated actions predicting the absence of the inhibited outcome, suggesting that rats encoded the counterfactual action-outcome mappings and were able to use them to guide choice. Copyright © 2015 Elsevier Ltd. All rights reserved.
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What can action learning offer a beleaguered system? A narrative representing the relationship.
Traeger, James
2017-05-02
Purpose This is an attempt to write an account of action learning that is as close to the ground on which it was practised as the author can make it. In that sense, the reader can read what follows below as a kind of autoethnography, a "representation as relationship" as Gergen and Gergen (2002, p. 11) call it. This is because in the opportunity of telling a story about his practice as an action learning facilitator, the author hopes to evoke that which is more akin to the contactful environment of quality action learning than any amount of abstract theorising. Design/methodology/approach This is an example of "narrative inquiry", best judged, according to Sparkes (2002), in terms of the ability of such accounts to "contribute to sociological understanding in ways that, amongst others are self-knowing, self-respecting, self-sacrificing and self-luminous". Findings As the author re-tells this partial account, he has a sense of the massive wider structures around him, but all he can see in his dim lamp is the fleeting glimpse of the local strata. The author traces his hand along the seams, not intending to dig them out, but simply to witness them, or even, in a spirit of yearning, to give them a witnessing of themselves. Originality/value To the author, this is about portraying what action learning feels like, rather than thinks like, for his own and for the benefit of other practitioners.
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Virtual Action Learning: A Pilot in Building Leadership Capacity
ERIC Educational Resources Information Center
Radcliff, Phil
2017-01-01
This account of practice encompasses a pilot virtual action learning programme with a small group of learners. This was an 18-month extension to the one-week Leadership Open Programme that the participants had previously completed at the Business School. It includes insights from an evaluation study completed in early 2016. It considers in…
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Learning Difficulties and Ethnicity: Updating a Framework for Action
ERIC Educational Resources Information Center
Poxton, Richard
2012-01-01
This update of the Framework for Action highlights the continuing relevance of its message as well as those raised by Valuing People Now. People with learning difficulties and their families from Black and minority ethnic (BME) communities have been highlighted as a priority group by Valuing People since 2001 and remain a priority for better…
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ERIC Educational Resources Information Center
Antell, Sonja; Heywood, John
2015-01-01
Action learning is often used as an element of leadership development programmes. The intention is to support classroom learning with an experiential thread which runs throughout the life of the programme. Action Learning Associates (ALA) has been working with an international organisation for three years to deliver the global "First Line…
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ERIC Educational Resources Information Center
Rigg, Clare
2008-01-01
In public services delivery, action learning is increasingly employed in the hope of improving capacity to address complex, multi-casual and "wicked" social issues to improve the lives of citizens. Yet the understanding of how and why action learning might have potential for enhancing organizational or systemic capability rarely goes…
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Turning to Case Studies as a Mechanism for Learning in Action Learning
ERIC Educational Resources Information Center
O'Leary, Denise; Coughlan, Paul; Rigg, Clare; Coghlan, David
2017-01-01
Case studies are a useful means of capturing and sharing experiential knowledge by allowing researchers to explore the social, organisational and political contexts of a specific case. Although accounts of action learning are often reported using a case study approach, it is not common to see individual case studies being used as a learning…
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Action-Effect Associations in Voluntary and Cued Task-Switching.
Sommer, Angelika; Lukas, Sarah
2017-01-01
The literature of action control claims that humans control their actions in two ways. In the stimulus-based approach, actions are triggered by external stimuli. In the ideomotor approach, actions are elicited endogenously and controlled by the intended goal. In the current study, our purpose was to investigate whether these two action control modes affect task-switching differently. We combined a classical task-switching paradigm with action-effect learning. Both experiments consisted of two experimental phases: an acquisition phase, in which associations between task, response and subsequent action effects were learned and a test phase, in which the effects of these associations were tested on task performance by presenting the former action effects as preceding effects, prior to the task (called practiced effects ). Subjects either chose freely between tasks (ideomotor action control mode) or they were cued as to which task to perform (sensorimotor action control mode). We aimed to replicate the consistency effect (i.e., task is chosen according to the practiced task-effect association) and non-reversal advantage (i.e., better task performance when the practiced effect matches the previously learned task-effect association). Our results suggest that participants acquired stable action-effect associations independently of the learning mode. The consistency effect (Experiment 1) could be shown, independent of the learning mode, but only on the response-level. The non-reversal advantage (Experiment 2) was only evident in the error rates and only for participants who had practiced in the ideomotor action control mode.
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School-University Action Research: Impacts on Teaching Practices and Pupil Learning
ERIC Educational Resources Information Center
Attorps, Iiris; Kellner, Eva
2017-01-01
The aim of this article is to describe a design and implementation of a school-university action research project about teaching and learning biology and mathematics in primary school. Nine teachers in grades 1 to 6, in collaboration with two researchers, were using content representation (CoRe) in learning study (LS)-inspired cycle as pedagogical…
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An Action Learning Method for Increased Innovation Capability in Organisations
ERIC Educational Resources Information Center
Olsson, Annika; Wadell, Carl; Odenrick, Per; Norell Bergendahl, Margareta
2010-01-01
Product innovation in highly complex and technological areas, such as medical technology, puts high requirements on the innovation capability of an organisation. Previous research and publications have highlighted organisational issues and learning matters as important and necessary for the development of innovation capability. Action learning…
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Effect of an educational game on university students' learning about action potentials.
Luchi, Kelly Cristina Gaviao; Montrezor, Luís Henrique; Marcondes, Fernanda K
2017-06-01
The aim of this study was to evaluate the effect of an educational game that is used for teaching the mechanisms of the action potentials in cell membranes. The game was composed of pieces representing the intracellular and extracellular environments, ions, ion channels, and the Na + -K + -ATPase pump. During the game activity, the students arranged the pieces to demonstrate how the ions move through the membrane in a resting state and during an action potential, linking the ion movement with a graph of the action potential. To test the effect of the game activity on student understanding, first-year dental students were given the game to play at different times in a series of classes teaching resting membrane potential and action potentials. In all experiments, students who played the game performed better in assessments. According to 98% of the students, the game supported the learning process. The data confirm the students' perception, indicating that the educational game improved their understanding about action potentials. Copyright © 2017 the American Physiological Society.
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ERIC Educational Resources Information Center
Reese, Simon R.
2015-01-01
This paper reflects upon a three-step process to expand the problem definition in the early stages of an action learning project. The process created a community-powered problem-solving approach within the action learning context. The simple three steps expanded upon in the paper create independence, dependence, and inter-dependence to aid the…
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Using Science to Take a Stand: Action-Oriented Learning in an Afterschool Science Club
NASA Astrophysics Data System (ADS)
Hagenah, Sara
This dissertation study investigates what happens when students participate in an afterschool science club designed around action-oriented science instruction, a set of curriculum design principles based on social justice pedagogy. Comprised of three manuscripts written for journal publication, the dissertation includes 1) Negotiating community-based action-oriented science teaching and learning: Articulating curriculum design principles, 2) Middle school girls' socio-scientific participation pathways in an afterschool science club, and 3) Laughing and learning together: Productive science learning spaces for middle school girls. By investigating how action-oriented science design principles get negotiated, female identity development in and with science, and the role of everyday social interactions as students do productive science, this research fills gaps in the understanding of how social justice pedagogy gets enacted and negotiated among multiple stakeholders including students, teachers, and community members along what identity development looks like across social and scientific activity. This study will be of interest to educators thinking about how to enact social justice pedagogy in science learning spaces and those interested in identity development in science.
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Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural Model
Panda, Priyadarshini; Srinivasa, Narayan
2018-01-01
A fundamental challenge in machine learning today is to build a model that can learn from few examples. Here, we describe a reservoir based spiking neural model for learning to recognize actions with a limited number of labeled videos. First, we propose a novel encoding, inspired by how microsaccades influence visual perception, to extract spike information from raw video data while preserving the temporal correlation across different frames. Using this encoding, we show that the reservoir generalizes its rich dynamical activity toward signature action/movements enabling it to learn from few training examples. We evaluate our approach on the UCF-101 dataset. Our experiments demonstrate that our proposed reservoir achieves 81.3/87% Top-1/Top-5 accuracy, respectively, on the 101-class data while requiring just 8 video examples per class for training. Our results establish a new benchmark for action recognition from limited video examples for spiking neural models while yielding competitive accuracy with respect to state-of-the-art non-spiking neural models. PMID:29551962
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Schult, Janette; von Stülpnagel, Rul; Steffens, Melanie C.
2014-01-01
What are the memory-related consequences of learning actions (such as “apply the patch”) by enactment during study, as compared to action observation? Theories converge in postulating that enactment encoding increases item-specific processing, but not the processing of relational information. Typically, in the laboratory enactment encoding is studied for lists of unrelated single actions in which one action execution has no overarching purpose or relation with other actions. In contrast, real-life actions are usually carried out with the intention to achieve such a purpose. When actions are embedded in action sequences, relational information provides efficient retrieval cues. We contrasted memory for single actions with memory for action sequences in three experiments. We found more reliance on relational processing for action-sequences than single actions. To what degree can this relational information be used after enactment versus after the observation of an actor? We found indicators of superior relational processing after observation than enactment in ordered pair recall (Experiment 1A) and in emerging subjective organization of repeated recall protocols (recall runs 2–3, Experiment 2). An indicator of superior item-specific processing after enactment compared to observation was recognition (Experiment 1B, Experiment 2). Similar net recall suggests that observation can be as good a learning strategy as enactment. We discuss possible reasons why these findings only partly converge with previous research and theorizing. PMID:24927279
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The Impact of Being Part of an Action Learning Set for New Lecturers: A Reflective Analysis
ERIC Educational Resources Information Center
Haith, Mark P.; Whittingham, Katrina A.
2012-01-01
What is an action learning set (ALS)? An ALS is a regular, action focused peer discussion group, generally facilitated, to address work place issues. Methods of undertaking ALS: methods are flexible within a range of approaches according to the group's developing needs. Benefits of ALS: builds trust, professional development, enables action,…
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Dignath, David; Janczyk, Markus
2017-09-01
According to the ideomotor principle, behavior is controlled via a retrieval of the sensory consequences that will follow from the respective movement ("action-effects"). These consequences include not only what will happen, but also when something will happen. In fact, recollecting the temporal duration between response and effect takes time and prolongs the initiation of the response. We investigated the associative structure of action-effect learning with delayed effects and asked whether participants acquire integrated action-time-effect episodes that comprise a compound of all three elements or whether they acquire separate traces that connect actions to the time until an effect occurs and actions to the effects that follow them. In three experiments, results showed that participants retrieve temporal intervals that follow from their actions even when the identity of the effect could not be learned. Furthermore, retrieval of temporal intervals in isolation was not inferior to retrieval of temporal intervals that were consistently followed by predictable action-effects. More specifically, when tested under extinction, retrieval of action-time and action-identity associations seems to compete against each other, similar to overshadowing effects reported for stimulus-response conditioning. Together, these results suggest that people anticipate when the consequences of their action will occur, independently from what the consequences will be.
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ERIC Educational Resources Information Center
Shanks, Joyce
2016-01-01
The paper reviews teacher candidates' use of action research and the Professional Learning Community (PLC) concept to support their work in their pre-student teaching field experience. In this research study, teacher candidates are involved in a professional development school relationship that uses action research and PLCs to support candidate…
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Action-Effect Associations in Voluntary and Cued Task-Switching
Sommer, Angelika; Lukas, Sarah
2018-01-01
The literature of action control claims that humans control their actions in two ways. In the stimulus-based approach, actions are triggered by external stimuli. In the ideomotor approach, actions are elicited endogenously and controlled by the intended goal. In the current study, our purpose was to investigate whether these two action control modes affect task-switching differently. We combined a classical task-switching paradigm with action-effect learning. Both experiments consisted of two experimental phases: an acquisition phase, in which associations between task, response and subsequent action effects were learned and a test phase, in which the effects of these associations were tested on task performance by presenting the former action effects as preceding effects, prior to the task (called practiced effects). Subjects either chose freely between tasks (ideomotor action control mode) or they were cued as to which task to perform (sensorimotor action control mode). We aimed to replicate the consistency effect (i.e., task is chosen according to the practiced task-effect association) and non-reversal advantage (i.e., better task performance when the practiced effect matches the previously learned task-effect association). Our results suggest that participants acquired stable action-effect associations independently of the learning mode. The consistency effect (Experiment 1) could be shown, independent of the learning mode, but only on the response-level. The non-reversal advantage (Experiment 2) was only evident in the error rates and only for participants who had practiced in the ideomotor action control mode. PMID:29387027
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Lotem, Arnon
2017-01-01
Understanding how humans and other animals learn to perform an act from seeing it done has been a major challenge in the study of social learning. To determine whether this ability is based on ‘true imitation’, many studies have applied the two-action experimental paradigm, examining whether subjects learn to perform the specific action demonstrated to them. Here, we show that the insights gained from animals' success in two-action experiments may be limited, and that a better understanding is achieved by monitoring subjects' entire behavioural repertoire. Hand-reared house sparrows that followed a model of a mother demonstrator were successful in learning to find seeds hidden under a leaf, using the action demonstrated by the mother (either pushing the leaf or pecking it). However, they also produced behaviours that had not been demonstrated but were nevertheless related to the demonstrated act. This finding suggests that while the learners were clearly influenced by the demonstrator, they did not accurately imitate her. Rather, they used their own behavioural repertoire, gradually fitting it to the demonstrated task solution through trial and error. This process is consistent with recent views on how animals learn to imitate, and may contribute to a unified process-level analysis of social learning mechanisms. PMID:28228516
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ERIC Educational Resources Information Center
Boak, George; Watt, Peter; Gold, Jeff; Devins, David; Garvey, Robert
2016-01-01
This paper contributes to an understanding of the processes by which organisational actors learn how to affect positive and sustainable social change in their local region through action learning, action research and appreciative inquiry. The paper is based on a critically reflective account of key findings from an ongoing action research project,…
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ERIC Educational Resources Information Center
Kiilo, Tatjana; Kutsar, Dagmar
2012-01-01
Based on appreciative inquiry and threshold concepts from an intercultural learning perspective, the article makes insights into the constructivist social learning practice of Estonian language learning amongst Russian-speaking teachers in Estonia. The application of educational action research methodology, more specifically that of Bridget…
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The minimalist grammar of action
Pastra, Katerina; Aloimonos, Yiannis
2012-01-01
Language and action have been found to share a common neural basis and in particular a common ‘syntax’, an analogous hierarchical and compositional organization. While language structure analysis has led to the formulation of different grammatical formalisms and associated discriminative or generative computational models, the structure of action is still elusive and so are the related computational models. However, structuring action has important implications on action learning and generalization, in both human cognition research and computation. In this study, we present a biologically inspired generative grammar of action, which employs the structure-building operations and principles of Chomsky's Minimalist Programme as a reference model. In this grammar, action terminals combine hierarchically into temporal sequences of actions of increasing complexity; the actions are bound with the involved tools and affected objects and are governed by certain goals. We show, how the tool role and the affected-object role of an entity within an action drives the derivation of the action syntax in this grammar and controls recursion, merge and move, the latter being mechanisms that manifest themselves not only in human language, but in human action too. PMID:22106430
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Striatal action-value neurons reconsidered.
Elber-Dorozko, Lotem; Loewenstein, Yonatan
2018-05-31
It is generally believed that during economic decisions, striatal neurons represent the values associated with different actions. This hypothesis is based on studies, in which the activity of striatal neurons was measured while the subject was learning to prefer the more rewarding action. Here we show that these publications are subject to at least one of two critical confounds. First, we show that even weak temporal correlations in the neuronal data may result in an erroneous identification of action-value representations. Second, we show that experiments and analyses designed to dissociate action-value representation from the representation of other decision variables cannot do so. We suggest solutions to identifying action-value representation that are not subject to these confounds. Applying one solution to previously identified action-value neurons in the basal ganglia we fail to detect action-value representations. We conclude that the claim that striatal neurons encode action-values must await new experiments and analyses. © 2018, Elber-Dorozko et al.
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Data Wise in Action: Stories of Schools Using Data to Improve Teaching and Learning
ERIC Educational Resources Information Center
Boudett, Kathryn Parker, Ed.; Steele, Jennifer L., Ed.
2007-01-01
What does it look like when a school uses data wisely? "Data Wise in Action", a new companion and sequel to the bestselling "Data Wise", tells the stories of eight very different schools following the Data Wise process of using assessment results to improve teaching and learning. "Data Wise in Action" highlights the…
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Actionable Data Projects: Social Science and Service-Learning in General Education Courses
ERIC Educational Resources Information Center
Maloyed, Christie L.
2016-01-01
The use of service-learning pedagogies in general education courses is often limited to increasing volunteerism or civic literacy with problem-based or research-based projects reserved for upper level courses. This article examines the implementation of an "actionable data" service-learning project in an introductory, general studies…
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Improved probabilistic inference as a general learning mechanism with action video games.
Green, C Shawn; Pouget, Alexandre; Bavelier, Daphne
2010-09-14
Action video game play benefits performance in an array of sensory, perceptual, and attentional tasks that go well beyond the specifics of game play [1-9]. That a training regimen may induce improvements in so many different skills is notable because the majority of studies on training-induced learning report improvements on the trained task but limited transfer to other, even closely related, tasks ([10], but see also [11-13]). Here we ask whether improved probabilistic inference may explain such broad transfer. By using a visual perceptual decision making task [14, 15], the present study shows for the first time that action video game experience does indeed improve probabilistic inference. A neural model of this task [16] establishes how changing a single parameter, namely the strength of the connections between the neural layer providing the momentary evidence and the layer integrating the evidence over time, captures improvements in action-gamers behavior. These results were established in a visual, but also in a novel auditory, task, indicating generalization across modalities. Thus, improved probabilistic inference provides a general mechanism for why action video game playing enhances performance in a wide variety of tasks. In addition, this mechanism may serve as a signature of training regimens that are likely to produce transfer of learning. Copyright © 2010 Elsevier Ltd. All rights reserved.
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A Playbook for Data: Real-Life Scenario Demonstrates Learning Forward's Data Standard in Action
ERIC Educational Resources Information Center
Hirsh, Stephanie; Hord, Shirley
2012-01-01
This article is an excerpt from "A Playbook for Professional Learning: Putting the Standards Into Action" (Learning Forward, 2012). Written by Learning Forward Executive Director Stephanie Hirsh and Scholar Laureate Shirley Hord, "A Playbook for Professional Learning" provides those who work in professional learning with readily accessible…
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ERIC Educational Resources Information Center
Frings, A.; And Others
This handbook is intended to help trainers and development workers plan and conduct training programs based on the Action Training Model (ATM). The ATM combines training with action and learning with production by building upon participants' knowledge and learning needs and involving participants in a process of active learning and cooperative…
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Inferring action structure and causal relationships in continuous sequences of human action.
Buchsbaum, Daphna; Griffiths, Thomas L; Plunkett, Dillon; Gopnik, Alison; Baldwin, Dare
2015-02-01
In the real world, causal variables do not come pre-identified or occur in isolation, but instead are embedded within a continuous temporal stream of events. A challenge faced by both human learners and machine learning algorithms is identifying subsequences that correspond to the appropriate variables for causal inference. A specific instance of this problem is action segmentation: dividing a sequence of observed behavior into meaningful actions, and determining which of those actions lead to effects in the world. Here we present a Bayesian analysis of how statistical and causal cues to segmentation should optimally be combined, as well as four experiments investigating human action segmentation and causal inference. We find that both people and our model are sensitive to statistical regularities and causal structure in continuous action, and are able to combine these sources of information in order to correctly infer both causal relationships and segmentation boundaries. Copyright © 2014. Published by Elsevier Inc.
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A Protean Practice? Perspectives on the Practice of Action Learning
ERIC Educational Resources Information Center
Brook, Cheryl; Pedler, Mike; Burgoyne, John G
2013-01-01
Purpose: The purpose of the paper is to assess the extent to which these practitioners ' perspectives and practices match Willis's conception of a Revans "gold standard" of action learning. Design/methodology/approach: This study adopts a qualitative design and methodology based on interviews and the collection of cases or accounts of…
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Manipulation Action Understanding for Observation and Execution
ERIC Educational Resources Information Center
Yang, Yezhou
2015-01-01
Modern intelligent agents will need to learn the actions that humans perform. They will need to recognize these actions when they see them and they will need to perform these actions themselves. We want to propose a cognitive system that interprets human manipulation actions from perceptual information (image and depth data) and consists of…
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NASA Astrophysics Data System (ADS)
Gómez Puente, S. M.; van Eijck, M.; Jochems, W.
2013-11-01
Background: In research on design-based learning (DBL), inadequate attention is paid to the role the teacher plays in supervising students in gathering and applying knowledge to design artifacts, systems, and innovative solutions in higher education. Purpose: In this study, we examine whether teacher actions we previously identified in the DBL literature as important in facilitating learning processes and student supervision are present in current DBL engineering practices. Sample: The sample (N=16) consisted of teachers and supervisors in two engineering study programs at a university of technology: mechanical and electrical engineering. We selected randomly teachers from freshman and second-year bachelor DBL projects responsible for student supervision and assessment. Design and method: Interviews with teachers, and interviews and observations of supervisors were used to examine how supervision and facilitation actions are applied according to the DBL framework. Results: Major findings indicate that formulating questions is the most common practice seen in facilitating learning in open-ended engineering design environments. Furthermore, other DBL actions we expected to see based upon the literature were seldom observed in the coaching practices within these two programs. Conclusions: Professionalization of teachers in supervising students need to include methods to scaffold learning by supporting students in reflecting and in providing formative feedback.
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ERIC Educational Resources Information Center
Mullen, Carol A.; Rodríguez, Mariela A.; Allen, Tawannah G.
2015-01-01
This account of practice describes what three executive leaders in a professional association have learned about action learning and their own practices of organizational renewal. Data are approached narratively and stories are told from the perspectives of diverse educators' experiences, agency, and expertise. Mature organizations can be…
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ERIC Educational Resources Information Center
Uzunboylu, Huseyin
2006-01-01
This study's purpose was to survey the literature on European Union (EU) e-learning strategies specifically related to two mainline e-learning projects: the learning Action Plan and the E-Learning Program. Results of the evaluation and interpretation of the literature show that the European Commission has positively impacted European Union…
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ERIC Educational Resources Information Center
Rantavuori, Juhana; Engeström, Yrjö; Lipponen, Lasse
2016-01-01
The paper analyzes a collaborative learning process among Finnish pre-service teachers planning their own learning in a self-regulated way. The study builds on cultural-historical activity theory and the theory of expansive learning, integrating for the first time an analysis of learning actions and an analysis of types of interaction. We examine…
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Fee, Michale S.
2012-01-01
In its simplest formulation, reinforcement learning is based on the idea that if an action taken in a particular context is followed by a favorable outcome, then, in the same context, the tendency to produce that action should be strengthened, or reinforced. While reinforcement learning forms the basis of many current theories of basal ganglia (BG) function, these models do not incorporate distinct computational roles for signals that convey context, and those that convey what action an animal takes. Recent experiments in the songbird suggest that vocal-related BG circuitry receives two functionally distinct excitatory inputs. One input is from a cortical region that carries context information about the current “time” in the motor sequence. The other is an efference copy of motor commands from a separate cortical brain region that generates vocal variability during learning. Based on these findings, I propose here a general model of vertebrate BG function that combines context information with a distinct motor efference copy signal. The signals are integrated by a learning rule in which efference copy inputs gate the potentiation of context inputs (but not efference copy inputs) onto medium spiny neurons in response to a rewarded action. The hypothesis is described in terms of a circuit that implements the learning of visually guided saccades. The model makes testable predictions about the anatomical and functional properties of hypothesized context and efference copy inputs to the striatum from both thalamic and cortical sources. PMID:22754501
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Fee, Michale S
2012-01-01
In its simplest formulation, reinforcement learning is based on the idea that if an action taken in a particular context is followed by a favorable outcome, then, in the same context, the tendency to produce that action should be strengthened, or reinforced. While reinforcement learning forms the basis of many current theories of basal ganglia (BG) function, these models do not incorporate distinct computational roles for signals that convey context, and those that convey what action an animal takes. Recent experiments in the songbird suggest that vocal-related BG circuitry receives two functionally distinct excitatory inputs. One input is from a cortical region that carries context information about the current "time" in the motor sequence. The other is an efference copy of motor commands from a separate cortical brain region that generates vocal variability during learning. Based on these findings, I propose here a general model of vertebrate BG function that combines context information with a distinct motor efference copy signal. The signals are integrated by a learning rule in which efference copy inputs gate the potentiation of context inputs (but not efference copy inputs) onto medium spiny neurons in response to a rewarded action. The hypothesis is described in terms of a circuit that implements the learning of visually guided saccades. The model makes testable predictions about the anatomical and functional properties of hypothesized context and efference copy inputs to the striatum from both thalamic and cortical sources.
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ERIC Educational Resources Information Center
Congdon, Graham John; Congdon, Shirley
2011-01-01
This article reports an action research project designed to develop and implement a new participatory learning and teaching approach to enable postgraduate healthcare students to develop skills and knowledge in preparation for undertaking an action research study within their practice setting. The learning and teaching approach was based upon the…
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Ikegami, Tsuyoshi; Ganesh, Gowrishankar
2017-01-01
The question of how humans predict outcomes of observed motor actions by others is a fundamental problem in cognitive and social neuroscience. Previous theoretical studies have suggested that the brain uses parts of the forward model (used to estimate sensory outcomes of self-generated actions) to predict outcomes of observed actions. However, this hypothesis has remained controversial due to the lack of direct experimental evidence. To address this issue, we analyzed the behavior of darts experts in an understanding learning paradigm and utilized computational modeling to examine how outcome prediction of observed actions affected the participants' ability to estimate their own actions. We recruited darts experts because sports experts are known to have an accurate outcome estimation of their own actions as well as prediction of actions observed in others. We first show that learning to predict the outcomes of observed dart throws deteriorates an expert's abilities to both produce his own darts actions and estimate the outcome of his own throws (or self-estimation). Next, we introduce a state-space model to explain the trial-by-trial changes in the darts performance and self-estimation through our experiment. The model-based analysis reveals that the change in an expert's self-estimation is explained only by considering a change in the individual's forward model, showing that an improvement in an expert's ability to predict outcomes of observed actions affects the individual's forward model. These results suggest that parts of the same forward model are utilized in humans to both estimate outcomes of self-generated actions and predict outcomes of observed actions.
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ERIC Educational Resources Information Center
Solution Tree, 2010
2010-01-01
This action guide is intended to assist in the reading of and reflection upon "Learning by Doing: A Handbook for Professional Learning Communities at Work, Second Edition" by Richard DuFour, Rebecca DuFour, Richard Eaker, and Thomas Many. The guide can be used by an individual, a small group, or an entire faculty to identify key points,…
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Evaluating Action Learning: A Critical Realist Complex Network Theory Approach
ERIC Educational Resources Information Center
Burgoyne, John G.
2010-01-01
This largely theoretical paper will argue the case for the usefulness of applying network and complex adaptive systems theory to an understanding of action learning and the challenge it is evaluating. This approach, it will be argued, is particularly helpful in the context of improving capability in dealing with wicked problems spread around…
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Imitative Learning of Actions on Objects by Children, Chimpanzees, and Enculturated Chimpanzees.
ERIC Educational Resources Information Center
Tomasello, Michael; And Others
1993-01-01
Compared the abilities of 3 mother-reared and 3 human-raised (enculturated) chimpanzees and 16 human toddlers to imitatively learn novel actions on objects. Found that mother-reared chimpanzees were poorer imitators than both enculturated chimpanzees and human children, who did not differ from one another in imitative learning. On time delay…
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Joint Patch and Multi-label Learning for Facial Action Unit Detection
Zhao, Kaili; Chu, Wen-Sheng; De la Torre, Fernando; Cohn, Jeffrey F.; Zhang, Honggang
2016-01-01
The face is one of the most powerful channel of nonverbal communication. The most commonly used taxonomy to describe facial behaviour is the Facial Action Coding System (FACS). FACS segments the visible effects of facial muscle activation into 30+ action units (AUs). AUs, which may occur alone and in thousands of combinations, can describe nearly all-possible facial expressions. Most existing methods for automatic AU detection treat the problem using one-vs-all classifiers and fail to exploit dependencies among AU and facial features. We introduce joint-patch and multi-label learning (JPML) to address these issues. JPML leverages group sparsity by selecting a sparse subset of facial patches while learning a multi-label classifier. In four of five comparisons on three diverse datasets, CK+, GFT, and BP4D, JPML produced the highest average F1 scores in comparison with state-of-the art. PMID:27382243
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Living While Being Alive: Education and Learning in the Treatment Action Campaign
ERIC Educational Resources Information Center
Endresen, Kristin; Von Kotze, Astrid
2005-01-01
This paper is based on research into the Treatment Action Campaign (TAC) in South Africa. The research investigated whether, through being active members of this social movement, HIV-positive activists learn things they could not otherwise learn about their status and the epidemic, and how they put such knowledge to use. We show how activists…
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NASA Astrophysics Data System (ADS)
Simione, Luca; Nolfi, Stefano
2014-10-01
In this paper we illustrate how the capacity to select the most appropriate actions when handling contexts affording multiple conflicting actions can be solved either through a selective attention strategy (in which the stimuli affording alternative actions are filtered out at the perceptual level through top-down regulation) or at later processing stages through an action selection strategy (through the suppression of the premotor information eliciting alternative actions). By carrying out a series of experiments in which a neuro-robot develops an ability to choose between conflicting actions, we were able to identify the conditions that lead to the development of solutions based on one strategy or another. Overall, the results indicate that the selective attention strategy constitutes the most simple and straightforward mechanism enabling the acquisition of such capacities. Moreover, the characteristics of the adaptive/learning process influence whether the adaptive robot converges towards a selective attention and/or action selection strategy.
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Perception-action map learning in controlled multiscroll systems applied to robot navigation.
Arena, Paolo; De Fiore, Sebastiano; Fortuna, Luigi; Patané, Luca
2008-12-01
In this paper a new technique for action-oriented perception in robots is presented. The paper starts from exploiting the successful implementation of the basic idea that perceptual states can be embedded into chaotic attractors whose dynamical evolution can be associated with sensorial stimuli. In this way, it can be possible to encode, into the chaotic dynamics, environment-dependent patterns. These have to be suitably linked to an action, executed by the robot, to fulfill an assigned mission. This task is addressed here: the action-oriented perception loop is closed by introducing a simple unsupervised learning stage, implemented via a bio-inspired structure based on the motor map paradigm. In this way, perceptual meanings, useful for solving a given task, can be autonomously learned, based on the environment-dependent patterns embedded into the controlled chaotic dynamics. The presented framework has been tested on a simulated robot and the performance have been successfully compared with other traditional navigation control paradigms. Moreover an implementation of the proposed architecture on a Field Programmable Gate Array is briefly outlined and preliminary experimental results on a roving robot are also reported.
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Exploring Action Learning for Academic Development in Research Intensive Settings
ERIC Educational Resources Information Center
Stocks, Claire; Trevitt, Chris; Hughes, Joseph
2018-01-01
The potential of action learning (AL) for academic development has not received a lot of attention. Building from two case studies in which AL has been used in different ways in research-intensive universities in Australia and the UK, we suggest that the approach may be of benefit to developers in the changing landscape in which they are expected…
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Gatti, R; Tettamanti, A; Gough, P M; Riboldi, E; Marinoni, L; Buccino, G
2013-04-12
Both motor imagery and action observation have been shown to play a role in learning or re-learning complex motor tasks. According to a well accepted view they share a common neurophysiological basis in the mirror neuron system. Neurons within this system discharge when individuals perform a specific action and when they look at another individual performing the same or a motorically related action. In the present paper, after a short review of literature on the role of action observation and motor imagery in motor learning, we report the results of a kinematics study where we directly compared motor imagery and action observation in learning a novel complex motor task. This involved movement of the right hand and foot in the same angular direction (in-phase movement), while at the same time moving the left hand and foot in an opposite angular direction (anti-phase movement), all at a frequency of 1Hz. Motor learning was assessed through kinematics recording of wrists and ankles. The results showed that action observation is better than motor imagery as a strategy for learning a novel complex motor task, at least in the fast early phase of motor learning. We forward that these results may have important implications in educational activities, sport training and neurorehabilitation. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.
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Implementing Blended Self-Managed Action Learning for Digital Entrepreneurs in Higher Education
ERIC Educational Resources Information Center
Shurville, Simon; Rospigliosi, Asher
2009-01-01
We report upon implementing blended self-managed action learning (SMAL) within graduate and postgraduate courses in digital entrepreneurship. In four out of five cases, we found that SMAL was highly motivating to our learners and integrated well with a blended and flexible approach to learning. We report a case where a SMAL set broke down due to…
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Count Me in: The Role of Action Learning in Making Learning and Skills Provision More Inclusive
ERIC Educational Resources Information Center
O'Toole, Gill
2007-01-01
This article explores the role of action learning in a national programme of research and development. The aim of the programme was to improve provision for disabled learners in the learning and skills sector by supporting providers in implementing the requirements of the Disability Discrimination Act (2002). Practitioners worked on a wide range…
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Transforming Language Ideologies through Action Research: A Case Study of Bilingual Science Learning
NASA Astrophysics Data System (ADS)
Yang, Eunah
This qualitative case study explored a third grade bilingual teacher's transformative language ideologies through participating in a collaborative action research project. By merging language ideologies theory, Cultural Historical Activity Theory (CHAT), and action research, I was able to identify the analytic focus of this study. I analyzed how one teacher and I, the researcher, collaboratively reflected on classroom language practices during the video analysis meetings and focus groups. Further, I analyzed twelve videos that we coded together to see the changes in the teacher's language practices over time. My unit of analysis was the discourse practice mediated by additive language ideologies. Throughout the collaborative action research process, we both critically reflected on the classroom language use. We also developed a critical consciousness about the participatory shifts and learning of focal English Learner (EL) students. Finally, the teacher made changes to her classroom language practices. The results of this study will contribute to the literacy education research field for theoretical, methodological, and practical insights. The integration of language ideologies, CHAT, and action research can help educational practitioners, researchers, and policy makers understand the importance of transforming teachers' language ideologies in designing additive learning contexts for ELs. From a methodological perspective, the transformative language ideologies through researcher and teacher collaborated video analysis process provide a unique contribution to the language ideologies in education literature, with analytic triangulation. As a practical implication, this study suggests action research can be one of the teacher education tools to help the teachers transform language ideologies for EL education.
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Building Civic Bridges: Community-Centered Action Civics
ERIC Educational Resources Information Center
LeCompte, Karon; Blevins, Brooke
2015-01-01
Project-based learning is an example of powerful social studies learning in which student engage in active inquiry. Action civics is a relatively new educational practice in which students "act as citizens" through a cycle of research, action, and reflection about problems they care about in their community. "Building Civic…
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Williamson, Tracey
2005-11-01
An empowering action research study was undertaken to evaluate and strengthen the implementation of shared governance. One aim was to identify factors that acted as aids or barriers to effective decision-making by clinical leaders. As a work-based learning approach, action research was expected to lead to integration of learning into practice by researcher and participants alike. Shared governance replaces traditional hierarchies and requires and develops clinical leaders. Strategies are needed to maximize learning from introduction of such initiatives at the individual, group and organizational level. Participant-observations and interviews were undertaken with shared governance council members from one model in north-west England. Leadership skills and knowledge and shared governance practices were significantly enhanced. Preparation for council roles was considered inadequate. Increased structured time for reflection and action planning was indicated. Implementation of shared governance has succeeded in developing leadership capacity. Evaluation findings have led to improvements in the overall shared governance model. Action research has been found to have great utility at optimizing work-based learning. Nurse Managers need to develop their coaching and facilitating skills and recognize there is no "quick fix" for developing clinical leaders. Implications include the need to support learners in identifying and implementing changes arising from work-based learning activities, the significant resource implications and the need to optimize the organizational climate if work-based learning approaches to leadership and management development are to succeed.
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Yin, Henry H.
2008-01-01
Recent work on the role of overlapping cerebral networks in action selection and habit formation has important implications for alcohol addiction research. As reviewed below, (1) these networks, which all involve a group of deep-brain structures called the basal ganglia, are associated with distinct behavioral control processes, such as reward-guided Pavlovian conditional responses, goal-directed instrumental actions, and stimulus-driven habits; (2) different stages of action learning are associated with different networks, which have the ability to change (i.e., plasticity); and (3) exposure to alcohol and other addictive drugs can have profound effects on these networks by influencing the mechanisms underlying neural plasticity. PMID:23584008
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ERIC Educational Resources Information Center
US Department of Education, 2007
2007-01-01
"Lessons Learned" is a series of publications that are a brief recounting of actual school emergencies and crises. This issue of "Lessons Learned" addresses after-action reports, which are an integral part of the emergency preparedness planning continuum and support effective crisis response. After-action reports have a threefold purpose. They…
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Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions.
Yamada, Tatsuro; Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya
2017-01-01
An important characteristic of human language is compositionality. We can efficiently express a wide variety of real-world situations, events, and behaviors by compositionally constructing the meaning of a complex expression from a finite number of elements. Previous studies have analyzed how machine-learning models, particularly neural networks, can learn from experience to represent compositional relationships between language and robot actions with the aim of understanding the symbol grounding structure and achieving intelligent communicative agents. Such studies have mainly dealt with the words (nouns, adjectives, and verbs) that directly refer to real-world matters. In addition to these words, the current study deals with logic words, such as "not," "and," and "or" simultaneously. These words are not directly referring to the real world, but are logical operators that contribute to the construction of meaning in sentences. In human-robot communication, these words may be used often. The current study builds a recurrent neural network model with long short-term memory units and trains it to learn to translate sentences including logic words into robot actions. We investigate what kind of compositional representations, which mediate sentences and robot actions, emerge as the network's internal states via the learning process. Analysis after learning shows that referential words are merged with visual information and the robot's own current state, and the logical words are represented by the model in accordance with their functions as logical operators. Words such as "true," "false," and "not" work as non-linear transformations to encode orthogonal phrases into the same area in a memory cell state space. The word "and," which required a robot to lift up both its hands, worked as if it was a universal quantifier. The word "or," which required action generation that looked apparently random, was represented as an unstable space of the network's dynamical system.
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Good Practices for Learning to Recognize Actions Using FV and VLAD.
Wu, Jianxin; Zhang, Yu; Lin, Weiyao
2016-12-01
High dimensional representations such as Fisher vectors (FV) and vectors of locally aggregated descriptors (VLAD) have shown state-of-the-art accuracy for action recognition in videos. The high dimensionality, on the other hand, also causes computational difficulties when scaling up to large-scale video data. This paper makes three lines of contributions to learning to recognize actions using high dimensional representations. First, we reviewed several existing techniques that improve upon FV or VLAD in image classification, and performed extensive empirical evaluations to assess their applicability for action recognition. Our analyses of these empirical results show that normality and bimodality are essential to achieve high accuracy. Second, we proposed a new pooling strategy for VLAD and three simple, efficient, and effective transformations for both FV and VLAD. Both proposed methods have shown higher accuracy than the original FV/VLAD method in extensive evaluations. Third, we proposed and evaluated new feature selection and compression methods for the FV and VLAD representations. This strategy uses only 4% of the storage of the original representation, but achieves comparable or even higher accuracy. Based on these contributions, we recommend a set of good practices for action recognition in videos for practitioners in this field.
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Do endogenous and exogenous action control compete for perception?
Pfister, Roland; Heinemann, Alexander; Kiesel, Andrea; Thomaschke, Roland; Janczyk, Markus
2012-04-01
Human actions are guided either by endogenous action plans or by external stimuli in the environment. These two types of action control seem to be mediated by neurophysiologically and functionally distinct systems that interfere if an endogenously planned action suddenly has to be performed in response to an exogenous stimulus. In this case, the endogenous representation has to be deactivated first to give way to the exogenous system. Here we show that interference of endogenous and exogenous action control is not limited to motor-related aspects but also affects the perception of action-related stimuli. Participants associated two actions with contingent sensory effects in learning blocks. In subsequent test blocks, preparing one of these actions specifically impaired responding to the associated effect in an exogenous speeded detection task, yielding a blindness-like effect for arbitrary, learned action effects. In accordance with the theory of event coding, this finding suggests that action planning influences perception even in the absence of any physical similarities between action and to-be-perceived stimuli.
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ERIC Educational Resources Information Center
Osborne, Roger; And Others
In the action-research phase of the Learning in Science Project, four groups of people worked on problems identified in the project's second (in-depth) phase. The Chemistry Action-Research Group considered problems related to the teaching and learning of ideas associated with particles and physical/chemical changes. Based on findings during the…
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Ganesh, Gowrishankar
2017-01-01
Abstract The question of how humans predict outcomes of observed motor actions by others is a fundamental problem in cognitive and social neuroscience. Previous theoretical studies have suggested that the brain uses parts of the forward model (used to estimate sensory outcomes of self-generated actions) to predict outcomes of observed actions. However, this hypothesis has remained controversial due to the lack of direct experimental evidence. To address this issue, we analyzed the behavior of darts experts in an understanding learning paradigm and utilized computational modeling to examine how outcome prediction of observed actions affected the participants’ ability to estimate their own actions. We recruited darts experts because sports experts are known to have an accurate outcome estimation of their own actions as well as prediction of actions observed in others. We first show that learning to predict the outcomes of observed dart throws deteriorates an expert’s abilities to both produce his own darts actions and estimate the outcome of his own throws (or self-estimation). Next, we introduce a state-space model to explain the trial-by-trial changes in the darts performance and self-estimation through our experiment. The model-based analysis reveals that the change in an expert’s self-estimation is explained only by considering a change in the individual’s forward model, showing that an improvement in an expert’s ability to predict outcomes of observed actions affects the individual’s forward model. These results suggest that parts of the same forward model are utilized in humans to both estimate outcomes of self-generated actions and predict outcomes of observed actions. PMID:29340300
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Neurons in primary motor cortex engaged during action observation.
Dushanova, Juliana; Donoghue, John
2010-01-01
Neurons in higher cortical areas appear to become active during action observation, either by mirroring observed actions (termed mirror neurons) or by eliciting mental rehearsal of observed motor acts. We report the existence of neurons in the primary motor cortex (M1), an area that is generally considered to initiate and guide movement performance, responding to viewed actions. Multielectrode recordings in monkeys performing or observing a well-learned step-tracking task showed that approximately half of the M1 neurons that were active when monkeys performed the task were also active when they observed the action being performed by a human. These 'view' neurons were spatially intermingled with 'do' neurons, which are active only during movement performance. Simultaneously recorded 'view' neurons comprised two groups: approximately 38% retained the same preferred direction (PD) and timing during performance and viewing, and the remainder (62%) changed their PDs and time lag during viewing as compared with performance. Nevertheless, population activity during viewing was sufficient to predict the direction and trajectory of viewed movements as action unfolded, although less accurately than during performance. 'View' neurons became less active and contained poorer representations of action when only subcomponents of the task were being viewed. M1 'view' neurons thus appear to reflect aspects of a learned movement when observed in others, and form part of a broadly engaged set of cortical areas routinely responding to learned behaviors. These findings suggest that viewing a learned action elicits replay of aspects of M1 activity needed to perform the observed action, and could additionally reflect processing related to understanding, learning or mentally rehearsing action.
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Maddison, Charlotte; Strang, Gus
2018-01-01
The aim of this study was to investigate if by participating in action learning sets, Graduate Entry Pre-registration Nursing (GEN) students were able to engage in collaborative and deliberative learning. A single focus group interview involving eleven participants was used to collect data. Data analysis identified five themes; collaborative learning; reflection; learning through case study and problem-solving; communication, and rejection of codified learning. The themes are discussed and further analysed in the context of collaborative and deliberative learning. The evidence from this small scale study suggests that action learning sets do provide an environment where collaborative and deliberative learning can occur. However, students perceived some of them, particularly during year one, to be too 'teacher lead', which stifled learning. Copyright © 2017 Elsevier Ltd. All rights reserved.
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ERIC Educational Resources Information Center
Nevid, Jeffrey S.; McClelland, Nate
2013-01-01
We used a set of action verbs based on Bloom's taxonomy to assess learning outcomes in two college-level introductory psychology courses. The action verbs represented an acronym, IDEA, comprising skills relating to identifying, defining or describing, evaluating or explaining, and applying psychological knowledge. Exam performance demonstrated…
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Project InterActions: A Multigenerational Robotic Learning Environment
NASA Astrophysics Data System (ADS)
Bers, Marina U.
2007-12-01
This paper presents Project InterActions, a series of 5-week workshops in which very young learners (4- to 7-year-old children) and their parents come together to build and program a personally meaningful robotic project in the context of a multigenerational robotics-based community of practice. The goal of these family workshops is to teach both parents and children about the mechanical and programming aspects involved in robotics, as well as to initiate them in a learning trajectory with and about technology. Results from this project address different ways in which parents and children learn together and provide insights into how to develop educational interventions that would educate parents, as well as children, in new domains of knowledge and skills such as robotics and new technologies.
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Action-Based Digital Tools: Mathematics Learning in 6-Year-Old Children
ERIC Educational Resources Information Center
Dejonckheere, Peter J. N.; Desoete, Annemie; Fonck, Nathalie; Roderiguez, Dave; Six, Leen; Vermeersch, Tine; Vermeulen, Lies
2014-01-01
Introduction: In the present study we used a metaphorical representation in order to stimulate the numerical competences of six-year-olds. It was expected that when properties of physical action are used for mathematical thinking or when abstract mathematical thinking is grounded in sensorimotor processes, learning gains should be more pronounced…
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"Scaffolding" of Action Learning within a Part-Time Management Development Module
ERIC Educational Resources Information Center
Joesbury, Mark
2015-01-01
This Account of Practice describes the introduction and development of action learning within a level 5 module of "Communications at Work" delivered as part of a Business & Technology Education Council (BTEC) Professional Certificate in Management (CMS) between 2005/2006 and 2009/2010. This will commence with a personal narrative and…
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Molecular substrates of action control in cortico-striatal circuits.
Shiflett, Michael W; Balleine, Bernard W
2011-09-15
The purpose of this review is to describe the molecular mechanisms in the striatum that mediate reward-based learning and action control during instrumental conditioning. Experiments assessing the neural bases of instrumental conditioning have uncovered functional circuits in the striatum, including dorsal and ventral striatal sub-regions, involved in action-outcome learning, stimulus-response learning, and the motivational control of action by reward-associated cues. Integration of dopamine (DA) and glutamate neurotransmission within these striatal sub-regions is hypothesized to enable learning and action control through its role in shaping synaptic plasticity and cellular excitability. The extracellular signal regulated kinase (ERK) appears to be particularly important for reward-based learning and action control due to its sensitivity to combined DA and glutamate receptor activation and its involvement in a range of cellular functions. ERK activation in striatal neurons is proposed to have a dual role in both the learning and performance factors that contribute to instrumental conditioning through its regulation of plasticity-related transcription factors and its modulation of intrinsic cellular excitability. Furthermore, perturbation of ERK activation by drugs of abuse may give rise to behavioral disorders such as addiction. Copyright © 2011 Elsevier Ltd. All rights reserved.
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Bridging the Generation Gap: "Growing Golf" through an Action Learning Activity
ERIC Educational Resources Information Center
Elbert, Norb; Cumiskey, Kevin J.
2014-01-01
This paper describes an action learning simulation designed for a Professional Golf Management (PGM) program housed in a College of Business of a public university. The PGA Golf Management University Program, a 4.5- to 5-year college curriculum for aspiring PGA Professionals is offered at 19 PGA accredited universities nationwide. The program…
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A Partnership Approach to Action Learning within a Masters Educational Programme
ERIC Educational Resources Information Center
Harrison, Patricia; Edwards, Carys
2012-01-01
This account of practice provides a practical example of the use of action learning within a masters educational programme, an MA in Change Management designed and delivered by a collaborative partnership between the Isle of Anglesey County Council (ACC) and Liverpool Business School (LBS), Liverpool John Moores University. The account has been…
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Promoting Students' Motivation in Learning Physical Science--An Action Research Approach.
ERIC Educational Resources Information Center
Tuan, Hsiao-Lin; Chin, Chi-Chin; Tsai, Chih-Chung
This study reported how four science teachers used action research to promote their students' motivation in learning physical science. Four teachers with one of their 8th grade physical science classes participated in the study. A combination of qualitative and quantitative research design were used in the study, and data collection included…
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Enacting Change through Action Learning: Mobilizing and Managing Power and Emotion
ERIC Educational Resources Information Center
Conklin, James; Cohen-Schneider, Rochelle; Linkewich, Beth; Legault, Emma
2012-01-01
This paper reports on a study of how action learning facilitates the movement of knowledge between social contexts. The study involved a community organization that provides educational services related to aphasia and members of a complex continuing care (CCC) practice that received training from the agency. People with aphasia (PWA) (a disability…
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Untrained Chimpanzees (Pan troglodytes schweinfurthii) Fail to Imitate Novel Actions
Tennie, Claudio; Call, Josep; Tomasello, Michael
2012-01-01
Background Social learning research in apes has focused on social learning in the technical (problem solving) domain - an approach that confounds action and physical information. Successful subjects in such studies may have been able to perform target actions not as a result of imitation learning but because they had learnt some technical aspect, for example, copying the movements of an apparatus (i.e., different forms of emulation learning). Methods Here we present data on action copying by non-enculturated and untrained chimpanzees when physical information is removed from demonstrations. To date, only one such study (on gesture copying in a begging context) has been conducted – with negative results. Here we have improved this methodology and have also added non-begging test situations (a possible confound of the earlier study). Both familiar and novel actions were used as targets. Prior to testing, a trained conspecific demonstrator was rewarded for performing target actions in view of observers. All but one of the tested chimpanzees already failed to copy familiar actions. When retested with a novel target action, also the previously successful subject failed to copy – and he did so across several contexts. Conclusion Chimpanzees do not seem to copy novel actions, and only some ever copy familiar ones. Due to our having tested only non-enculturated and untrained chimpanzees, the performance of our test subjects speak more than most other studies of the general (dis-)ability of chimpanzees to copy actions, and especially novel actions. PMID:22905102
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Liljeholm, Mimi; Tricomi, Elizabeth; O’Doherty, John P.; Balleine, Bernard W.
2011-01-01
Contingency theories of goal-directed action propose that experienced disjunctions between an action and its specific consequences, as well as conjunctions between these events, contribute to encoding the action-outcome association. Although considerable behavioral research in rats and humans has provided evidence for this proposal, relatively little is known about the neural processes that contribute to the two components of the contingency calculation. Specifically, while recent findings suggest that the influence of action-outcome conjunctions on goal-directed learning is mediated by a circuit involving ventromedial prefrontal, medial orbitofrontal cortex and dorsomedial striatum, the neural processes that mediate the influence of experienced disjunctions between these events are unknown. Here we show differential responses to probabilities of conjunctive and disjunctive reward deliveries in the ventromedial prefrontal cortex, the dorsomedial striatum, and the inferior frontal gyrus. Importantly, activity in the inferior parietal lobule and the left middle frontal gyrus varied with a formal integration of the two reward probabilities, ΔP, as did response rates and explicit judgments of the causal efficacy of the action. PMID:21325514
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Using Action Research to Examine Teacher Strategy Effectiveness
ERIC Educational Resources Information Center
Cox, Becky J.; Cox, Betty J.; Vann, Martha
2012-01-01
Successful teachers strive to ensure that their students learn to their maximum abilities. Is action research a valuable way for graduate students to review their effectiveness as teachers? Do students learn more through varied teaching strategies and techniques? The authors examined graduate students' perceptions of action research projects…
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Blending Q and P: Incorporating Action Learning in a Master's Programme
ERIC Educational Resources Information Center
Boak, George
2011-01-01
This paper is based on the experience of incorporating action learning within a Master's degree programme over a period of 14 years. The MA in Leading Innovation and Change was launched in 1995. It was first developed, and subsequently delivered, by a small group of staff working collaboratively across organisational boundaries. It is currently…
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SOCAP: Lessons learned in applying SIPE-2 to the military operations crisis action planning domain
NASA Technical Reports Server (NTRS)
Desimone, Roberto
1992-01-01
This report describes work funded under the DARPA Planning and Scheduling Initiative that led to the development of SOCAP (System for Operations Crisis Action Planning). In particular, it describes lessons learned in applying SIPE-2, the underlying AI planning technology within SOCAP, to the domain of military operations deliberate and crisis action planning. SOCAP was demonstrated at the U.S. Central Command and at the Pentagon in early 1992. A more detailed report about the lessons learned is currently being prepared. This report was presented during one of the panel discussions on 'The Relevance of Scheduling to AI Planning Systems.'
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Learning Sustainability Leadership: An Action Research Study of a Graduate Leadership Course
ERIC Educational Resources Information Center
Burns, Heather L.
2016-01-01
This study used action research methodology to examine the development of sustainability leadership in a graduate leadership course. The research investigated the impact of this leadership course, which was designed using transformative learning theory with attention to integrating thematic content, multiple and nondominant perspectives, a…
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A cooperative inquiry into action learning and praxis development in a community nursing module.
Jenkins, Emrys R; Mabbett, Gaynor M; Surridge, Andrea G; Warring, Joanna; Gwynn, Elizabeth D
2009-09-01
As nurse lecturers we investigated practice development and action learning approaches aimed at enabling postregistration bachelor's- and master's-level nursing students (Community Health Studies, Nursing in the Home) to advance practice in the context of policy and professional developments. A patchwork text was used to assess summatively what students achieved (practice change/development) and how this was informed critically, via an extended epistemology. First-person inquiry supplemented by cooperative inquiry postcourse completion (including reflective discussions with 16 students and 16 practice mentors) were used to assist coresearcher constructions of meaning. A relational, tripartite approach to learning and assessment (students', teachers', and practice mentors' collective contributions) depends on continuing reflective attention. Action learning enhances interrelation of experience with dialectic thinking. The patchwork text functions to promote creative writing, evaluative thinking, and praxis development. Role modeling by all, being genuine and not just "talking" genuine, is challenging yet crucial if people are to function as mutual resources for learning.
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Ten Benefits of Participant Action Planning.
ERIC Educational Resources Information Center
Youker, Robert B.
1985-01-01
Describes the Participant Action Planning Approach (PAPA) process that requires each trainee to prepare a list of concrete actions or changes he or she plans to make back on the job once the training program is over. Benefits of PAPA are discussed, including transfer of learning, verbalization, and commitment. (CT)
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Controlling Attention through Action: Observing Actions Primes Action-Related Stimulus Dimensions
ERIC Educational Resources Information Center
Fagioli, Sabrina; Ferlazzo, Fabio; Hommel, Bernhard
2007-01-01
Previous findings suggest that planning an action "backward-primes" perceptual dimension related to this action: planning a grasp facilitates the processing of visual size information, while planning a reach facilitates the processing of location information. Here we show that dimensional priming of perception through action occurs even in the…
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Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions
Yamada, Tatsuro; Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya
2017-01-01
An important characteristic of human language is compositionality. We can efficiently express a wide variety of real-world situations, events, and behaviors by compositionally constructing the meaning of a complex expression from a finite number of elements. Previous studies have analyzed how machine-learning models, particularly neural networks, can learn from experience to represent compositional relationships between language and robot actions with the aim of understanding the symbol grounding structure and achieving intelligent communicative agents. Such studies have mainly dealt with the words (nouns, adjectives, and verbs) that directly refer to real-world matters. In addition to these words, the current study deals with logic words, such as “not,” “and,” and “or” simultaneously. These words are not directly referring to the real world, but are logical operators that contribute to the construction of meaning in sentences. In human–robot communication, these words may be used often. The current study builds a recurrent neural network model with long short-term memory units and trains it to learn to translate sentences including logic words into robot actions. We investigate what kind of compositional representations, which mediate sentences and robot actions, emerge as the network's internal states via the learning process. Analysis after learning shows that referential words are merged with visual information and the robot's own current state, and the logical words are represented by the model in accordance with their functions as logical operators. Words such as “true,” “false,” and “not” work as non-linear transformations to encode orthogonal phrases into the same area in a memory cell state space. The word “and,” which required a robot to lift up both its hands, worked as if it was a universal quantifier. The word “or,” which required action generation that looked apparently random, was represented as an unstable space of
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ERIC Educational Resources Information Center
Kawulich, Barbara B.
2011-01-01
This manuscript shares lessons learned from conducting an action evaluation of the use of multimedia case studies in Management Information Systems (MIS) courses. Three undergraduate MIS classes took part in the study. The purpose for using case studies in these classes was to teach students about the role of MIS in business. An action evaluation…
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Ravik, Monika; Havnes, Anton; Bjørk, Ida Torunn
2017-12-01
To explore, describe and compare learning actions that nursing students used during peripheral vein cannulation training on a latex arm or each other's arms in a clinical skills centre. Simulation-based training is thought to enhance learning and transfer of learning from simulation to the clinical setting and is commonly recommended in nursing education. What students actually are doing during simulation-based training is, however, less explored. The analysis of learning actions used during simulation-based training could contribute to development and improvement of simulation as a learning strategy in nursing education. A qualitative explorative and descriptive research design, involving content analysis of video recordings, was used. Video-supported observation of nine nursing students practicing vein cannulation was conducted in a clinical skills centre in late 2012. The students engaged in various learning actions. Students training on a latex arm used a considerably higher number of learning actions relative to those training on each other's arms. In both groups, students' learning actions consisted mainly of seeking and giving support. The teacher provided students training on each other's arms with detailed feedback regarding insertion of the cannula into the vein, while those training on a latex arm received sparse feedback from the teacher and fellow students. The teacher played an important role in facilitating nursing students' practical skill learning during simulation. The provision of support from both teachers and students should be emphasised to ensure that nursing students' learning needs are met. This study suggest that student nurses may be differently and inadequately prepared in peripheral vein cannulation in two simulation modalities used in the academic setting; training on a latex arm and on each other's arms. © 2017 John Wiley & Sons Ltd.
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Yang, Yang; Saleemi, Imran; Shah, Mubarak
2013-07-01
This paper proposes a novel representation of articulated human actions and gestures and facial expressions. The main goals of the proposed approach are: 1) to enable recognition using very few examples, i.e., one or k-shot learning, and 2) meaningful organization of unlabeled datasets by unsupervised clustering. Our proposed representation is obtained by automatically discovering high-level subactions or motion primitives, by hierarchical clustering of observed optical flow in four-dimensional, spatial, and motion flow space. The completely unsupervised proposed method, in contrast to state-of-the-art representations like bag of video words, provides a meaningful representation conducive to visual interpretation and textual labeling. Each primitive action depicts an atomic subaction, like directional motion of limb or torso, and is represented by a mixture of four-dimensional Gaussian distributions. For one--shot and k-shot learning, the sequence of primitive labels discovered in a test video are labeled using KL divergence, and can then be represented as a string and matched against similar strings of training videos. The same sequence can also be collapsed into a histogram of primitives or be used to learn a Hidden Markov model to represent classes. We have performed extensive experiments on recognition by one and k-shot learning as well as unsupervised action clustering on six human actions and gesture datasets, a composite dataset, and a database of facial expressions. These experiments confirm the validity and discriminative nature of the proposed representation.
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Western Practices in Chinese Governance: A Case Study of the Implementation of Action Learning
ERIC Educational Resources Information Center
Horváth, Miklós
2017-01-01
This article argues that action learning has been incorporated into the Chinese administrative system because of a functional need for Western learning technology. This finding contrasts with those presented in the existing literature, which assert that Western practices have only been partially implemented, if implemented at all, because they…
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Sparse Modeling of Human Actions from Motion Imagery
2011-09-02
is here developed. Spatio-temporal features that char- acterize local changes in the image are rst extracted. This is followed by the learning of a...video comes from the optimal sparse linear com- bination of the learned basis vectors (action primitives) representing the actions. A low...computational cost deep-layer model learning the inter- class correlations of the data is added for increasing discriminative power. In spite of its simplicity
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Modeling the Value of Strategic Actions in the Superior Colliculus
Thevarajah, Dhushan; Webb, Ryan; Ferrall, Christopher; Dorris, Michael C.
2009-01-01
In learning models of strategic game play, an agent constructs a valuation (action value) over possible future choices as a function of past actions and rewards. Choices are then stochastic functions of these action values. Our goal is to uncover a neural signal that correlates with the action value posited by behavioral learning models. We measured activity from neurons in the superior colliculus (SC), a midbrain region involved in planning saccadic eye movements, while monkeys performed two saccade tasks. In the strategic task, monkeys competed against a computer in a saccade version of the mixed-strategy game ”matching-pennies”. In the instructed task, saccades were elicited through explicit instruction rather than free choices. In both tasks neuronal activity and behavior were shaped by past actions and rewards with more recent events exerting a larger influence. Further, SC activity predicted upcoming choices during the strategic task and upcoming reaction times during the instructed task. Finally, we found that neuronal activity in both tasks correlated with an established learning model, the Experience Weighted Attraction model of action valuation (Camerer and Ho, 1999). Collectively, our results provide evidence that action values hypothesized by learning models are represented in the motor planning regions of the brain in a manner that could be used to select strategic actions. PMID:20161807
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Morita, Kenji; Jitsev, Jenia; Morrison, Abigail
2016-09-15
Value-based action selection has been suggested to be realized in the corticostriatal local circuits through competition among neural populations. In this article, we review theoretical and experimental studies that have constructed and verified this notion, and provide new perspectives on how the local-circuit selection mechanisms implement reinforcement learning (RL) algorithms and computations beyond them. The striatal neurons are mostly inhibitory, and lateral inhibition among them has been classically proposed to realize "Winner-Take-All (WTA)" selection of the maximum-valued action (i.e., 'max' operation). Although this view has been challenged by the revealed weakness, sparseness, and asymmetry of lateral inhibition, which suggest more complex dynamics, WTA-like competition could still occur on short time scales. Unlike the striatal circuit, the cortical circuit contains recurrent excitation, which may enable retention or temporal integration of information and probabilistic "soft-max" selection. The striatal "max" circuit and the cortical "soft-max" circuit might co-implement an RL algorithm called Q-learning; the cortical circuit might also similarly serve for other algorithms such as SARSA. In these implementations, the cortical circuit presumably sustains activity representing the executed action, which negatively impacts dopamine neurons so that they can calculate reward-prediction-error. Regarding the suggested more complex dynamics of striatal, as well as cortical, circuits on long time scales, which could be viewed as a sequence of short WTA fragments, computational roles remain open: such a sequence might represent (1) sequential state-action-state transitions, constituting replay or simulation of the internal model, (2) a single state/action by the whole trajectory, or (3) probabilistic sampling of state/action. Copyright © 2016. Published by Elsevier B.V.
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ERIC Educational Resources Information Center
Potter, Lee Ann
2007-01-01
In this article, the author describes the experiences middle school students on a field trip to the new Constitution in Action Learning Lab in the Boeing Learning Center at the National Archives can expect. There, middle school students take on the roles of archivists and researchers collecting and analyzing primary sources from the holdings of…
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Culture meets collective action: Exciting synergies and some lessons to learn for the future
van Zomeren, Martijn; Louis, Winnifred R.
2017-01-01
In this introduction to the special issue of Group Processes & Intergroup Relations on “Culture and Collective Action” we emphasize the importance of the special issue topic for the development of the field. Specifically, we highlight the globalization of collective action and the internationalization of the social-psychological study of collective action, both of which point to culture as a missing link for this field. We thus propose that the next step is to move toward a proper cultural psychology of collective action—a social psychology in which culture is an integral part. This special issue provides a first step toward such a broad and integrative psychological understanding of collective action, but comes with promises as well as problems. We discuss both the exciting synergies and some lessons to learn for the future, and conclude that a focus on culture will facilitate the development of the rich and fascinating field of the social psychology of collective action. PMID:28546783
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ERIC Educational Resources Information Center
Foucar-Szocki, Diane; Mitchell, Randy; Larson, Rick; Harris, Laurie; Sherman, Nancy
This document presents a case study for an innovative session exploring the nature of learning and the relationship between action learning within academic programs in adult education/human resource development (HRD) and the higher education institutions that house them. The first two sections discuss the dilemmas confronting higher education and…
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Using Participatory Action Research to Increase Learning Transfer of Recovery-Based Principles
ERIC Educational Resources Information Center
Barish, Diane J.
2009-01-01
This study questions whether or not participatory action research is an effective and practical method for increasing learning transfer of recovery-based principles. The participants (N = 250) were ethnically and educationally diverse clinicians, in an urban state mental health institute. The Self-Assessment of Recovery-Based Behaviors survey ( n…
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Serotonin affects association of aversive outcomes to past actions.
Tanaka, Saori C; Shishida, Kazuhiro; Schweighofer, Nicolas; Okamoto, Yasumasa; Yamawaki, Shigeto; Doya, Kenji
2009-12-16
Impairment in the serotonergic system has been linked to action choices that are less advantageous in a long run. Such impulsive choices can be caused by a deficit in linking a given reward or punishment with past actions. Here, we tested the effect of manipulation of the serotonergic system by tryptophan depletion and loading on learning the association of current rewards and punishments with past actions. We observed slower associative learning when actions were followed by a delayed punishment in the low serotonergic condition. Furthermore, a model-based analysis revealed a positive correlation between the length of the memory trace for aversive choices and subjects' blood tryptophan concentration. Our results suggest that the serotonergic system regulates the time scale of retrospective association of punishments to past actions.
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ERIC Educational Resources Information Center
Eikeland, Olav
2012-01-01
The purpose of this article is to present a specific approach to the practice of action research "in complex organisations". Clearly, there are many approaches to the challenge of doing action research in organisations; approaches that are, and also must be, quite context dependent and specific. But my purpose is neither to give an…
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Dynamic nigrostriatal dopamine biases action selection
Howard, Christopher D.; Li, Hao; Geddes, Claire E.; Jin, Xin
2017-01-01
Summary Dopamine is thought to play a critical role in reinforcement learning and goal-directed behavior, but its function in action selection remains largely unknown. Here, we demonstrate that nigrostriatal dopamine biases ongoing action selection. When mice were trained to dynamically switch the action selected at different time points, changes in firing rate of nigrostriatal dopamine neurons, as well as dopamine signaling in the dorsal striatum, were found to be associated with action selection. This dopamine profile is specific to behavioral choice, scalable with interval duration, and doesn’t reflect reward prediction error, timing, or value as single factors alone. Genetic deletion of NMDA receptors on dopamine or striatal neurons, or optogenetic manipulation of dopamine concentration, alters dopamine signaling and biases action selection. These results unveil a crucial role of nigrostriatal dopamine in integrating diverse information for regulating upcoming actions and have important implications for neurological disorders including Parkinson’s disease and substance dependence. PMID:28285820
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Dynamic Nigrostriatal Dopamine Biases Action Selection.
Howard, Christopher D; Li, Hao; Geddes, Claire E; Jin, Xin
2017-03-22
Dopamine is thought to play a critical role in reinforcement learning and goal-directed behavior, but its function in action selection remains largely unknown. Here we demonstrate that nigrostriatal dopamine biases ongoing action selection. When mice were trained to dynamically switch the action selected at different time points, changes in firing rate of nigrostriatal dopamine neurons, as well as dopamine signaling in the dorsal striatum, were found to be associated with action selection. This dopamine profile is specific to behavioral choice, scalable with interval duration, and doesn't reflect reward prediction error, timing, or value as single factors alone. Genetic deletion of NMDA receptors on dopamine or striatal neurons or optogenetic manipulation of dopamine concentration alters dopamine signaling and biases action selection. These results unveil a crucial role of nigrostriatal dopamine in integrating diverse information for regulating upcoming actions, and they have important implications for neurological disorders, including Parkinson's disease and substance dependence. Copyright © 2017 Elsevier Inc. All rights reserved.
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ERIC Educational Resources Information Center
Stagell, Ulrica; Almers, Ellen; Askerlund, Per; Apelqvist, Magnus
2014-01-01
Based on the consideration that learning about different action alternatives and strategies are essential parts of ESD, this quantitative study focuses Eco-School teachers' and instructors' views on including different sustainability-promoting actions in teaching practices. Direct actions, and actions that take place in the private sphere were…
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ERIC Educational Resources Information Center
McDonald's Corp., Oak Brook, IL.
One of five McDonald's Action Packs, this learning package introduces intermediate grade students to basic economic concepts. The fourteen activities include the topics of consumption (4 activities), production (5), the market system (3), a pretest, and a posttest. Specific titles under consumption include The Wonderful Treasure Tree (introduction…
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Kanbay's Global Leadership Development Program: A Case Study of Virtual Action Learning
ERIC Educational Resources Information Center
Marsh, Catherine; Johnson, Carrie
2005-01-01
This study examines action learning as a vehicle for the transfer of organizational values in a multi-cultural, virtual-team based leadership development process. A Case Study of Kanbay International's Global Leadership Development Program is used as a lens through which HRD researchers and practitioners may glimpse new possibilities for the…
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Leaders Behaving Badly: Using Power to Generate Undiscussables in Action Learning Sets
ERIC Educational Resources Information Center
Donovan, Paul Jeffrey
2014-01-01
"Undiscussables" are topics associated with threat or embarrassment that are avoided by groups, where that avoidance is also not discussed. Their deleterious effect on executive groups has been a point of discussion for several decades. More recently critical action learning (AL) has brought a welcome focus to power relations within AL…
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Advancing Civic Learning and Engagement in Democracy: A Road Map and Call to Action
ERIC Educational Resources Information Center
US Department of Education, 2012
2012-01-01
Today, the U.S. Department of Education joins the National Task Force on Civic Learning and Democratic Engagement, the American Commonwealth Partnership, and the Campaign for the Civic Mission of Schools in a new national call to action to infuse and enhance civic learning and democratic engagement for all students throughout the American…
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Strudwick, Ruth; Day, Jane
2015-09-01
The first year interprofessional learning module at University Campus Suffolk (UCS) is delivered to 300 students and the students' assignments are marked by 20 members of staff from different health and social care professions. We were keen to find a way to reduce any inconsistencies and work with both staff and students to ensure that the essay and subsequent feedback were useful for all involved. The aims of the project were to evaluate the current marking process and feedback sheets used for year one inter-professional learning (IPL) marking, and to develop an appropriate marking tool and feedback sheet that would enable markers to provide more consistent feedback to the students. Participatory action research was used with both students and staff members being involved. Focus group and questions were used to ascertain views about the assignment feedback. The feedback from this action learning project helped us to enhance the feedback for students. There was also an increase in engagement with the assessment and feedback process amongst both staff and students. Copyright © 2015 Elsevier Ltd. All rights reserved.
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Conversations outside the Comfort Zone: Identity Formation in SME Manager Action Learning
ERIC Educational Resources Information Center
Anderson, Lisa; Gold, Jeff
2009-01-01
In this paper we consider the construction of narrative identity and particularly how managers of small businesses may construct new narrative identities within the activity of the action learning situation. We build on recent work to suggest that the "world" of managers can be explored through a consideration of Vygotsky's socio-cultural theory…
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Distributed Leadership as a Factor in and Outcome of Teacher Action Learning
ERIC Educational Resources Information Center
Dinham, Stephen; Aubusson, Peter; Brady, Laurie
2008-01-01
This paper reports an evaluation of Quality Teaching Action Learning (QTAL) projects conducted at New South Wales (NSW), Australia public (state) primary and secondary schools and explores how distributed leadership facilitated and was an outcome of the QTAL projects. The evaluation encompassed all 50 projects at 82 NSW public schools, and nine of…
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ERIC Educational Resources Information Center
Yoon, Hyung Joon; Cho, Yonjoo; Bong, Hyeon-Cheol
2012-01-01
The primary purpose of this article is to evaluate the impact of a dual-project action learning program (DPALP) conducted in South Korea. A dual-project program requires each participant to carry out both team and individual projects. Cho and Egan's [2009. Action learning research: A systematic review and conceptual framework. "Human Resource…
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ERIC Educational Resources Information Center
Ligozat, Florence; Lundqvist, Eva; Amade-Escot, Chantal
2018-01-01
One strand of comparative didactics aims at discussing the relationships between the theoretical constructions developed within subject didactics and how these can contribute to research about teaching and learning. This article explores the relationships between categories for analysing joint actions of teacher and students (didactic contract,…
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Action preferences and the anticipation of action outcomes.
Mann, David L; Schaefers, Teuntje; Cañal-Bruland, Rouwen
2014-10-01
Skilled performers of time-constrained motor actions acquire information about the action preferences of their opponents in an effort to better anticipate the outcome of that opponent's actions. However, there is reason to doubt that knowledge of an opponent's action preferences would unequivocally influence anticipatory responses in a positive way. It is possible that overt information about an opponent's actions could distract skilled performers from using the advance kinematic information they would usually rely on to anticipate actions, particularly when the opponent performs an 'unexpected' action that is not in accordance with his or her previous behaviour. The aim of this study was to examine how the ability to anticipate the outcome of an opponent's actions can be influenced by exposure to the action preferences of that opponent. Two groups of skilled handball goalkeepers anticipated the direction of penalty throws performed by opponents before and after a training intervention that provided situational probability information in the form of action preferences (AP). During the training phase participants in an AP-training group anticipated the action outcomes of two throwers who had a strong preference to throw in one particular direction, whilst participants in a NP-training group viewed players who threw equally to all directions. Exposure to opponents who did have an action preference during the training phase resulted in improved anticipatory performance if the opponent continued to bias their throws towards their preferred direction, but decreased performance if the opponent did not. These findings highlight that skilled observers use information about action preferences to enhance their anticipatory ability, but that doing so can be disadvantageous when the outcomes are no longer consistent with their generated expectations. Copyright © 2014 Elsevier B.V. All rights reserved.
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Action Research: Enhancing Classroom Practice and Fulfilling Educational Responsibilities
ERIC Educational Resources Information Center
Young, Mark R.; Rapp, Eve; Murphy, James W.
2010-01-01
Action Research is an applied scholarly paradigm resulting in action for continuous improvement in our teaching and learning techniques offering faculty immediate classroom payback and providing documentation of meeting our educational responsibilities as required by AACSB standards. This article reviews the iterative action research process of…
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Action learning for health system governance: the reward and challenge of co-production.
Lehmann, Uta; Gilson, Lucy
2015-10-01
Health policy and systems research (HPSR) is centrally concerned with people, their relationships and the actions and practices they can implement towards better health systems. These concerns suggest that HPS researchers must work in direct engagement with the practitioners and practice central to the inquiry, acknowledging their tacit knowledge and drawing it into generating new insights into health system functioning. Social science perspectives are of particular importance in this field because health policies and health systems are themselves social and political constructs. However, how can social science methodologies such as action research and narrative and appreciative enquiry enable such research, and how can methodologies from different disciplines be woven together to construct and make meaning of evidence for 'this' field? This article seeks to present 'methodological musings' on these points, to prompt wider discussion on the practice of HPSR. It draws on one long-term collaborative action learning research project being undertaken in Cape Town, South Africa. The District Innovation and Action Learning for Health System Development project is an action research partnership between two South African academic institutions and two health authorities focused, ultimately, on strengthening governance in primary health care.Drawing on this experience, the article considers three interrelated issues: The diversity and complexities of practitioner and research actors involved in co-producing HPSR; The nature of co-production and the importance of providing space to grapple across different systems of meaning;The character of evidence and data in co-production. There is much to be learnt from research traditions outside the health sector, but HPSR must work out its own practices--through collaboration and innovation among researchers and practitioners. In this article, we provide one set of experiences to prompt wider reflection and stimulate engagement on the
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Effects of aging on action-intentional programming.
Shoraka, Ali R; Otzel, Dana M; M Zilli, Eduardo; Finney, Glen R; Doty, Leilani; Falchook, Adam D; Heilman, Kenneth M
2018-03-01
Action-intentional programs control "when" we initiate, inhibit, continue, and stop motor actions. The purpose of this study was to learn if there are changes in the action-intentional system with healthy aging, and if these changes are asymmetrical (right versus left upper limb) or related to impaired interhemispheric communication. We administered tests of action-intention to 41 middle-aged and older adults (61.9 ± 12.3 years). Regression analyses revealed that older age predicted a decrement in performance for tests of crossed motor response inhibition as well as slower motor initiation with the left hand. Changes in action-intention with aging appear to be related to alterations of interhemispheric communication and/or age-related right hemisphere dysfunction; however, further research is needed to identify the mechanisms for age-related changes in the brain networks that mediate action-intention.
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The Art and Science of Rain Barrels: A Service Learning Approach to Youth Watershed Action
ERIC Educational Resources Information Center
Rector, Patricia; Lyons, Rachel; Yost, Theresa
2013-01-01
Using an interdisciplinary approach to water resource education, 4-H Youth Development and Environmental Extension agents enlisted 4-H teens to connect local watershed education with social action. Teens participated in a dynamic service learning project that included learning about nonpoint source pollution; constructing, decorating, and teaching…
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Insight and Action Analytics: Three Case Studies to Consider
ERIC Educational Resources Information Center
Milliron, Mark David; Malcolm, Laura; Kil, David
2014-01-01
Civitas Learning was conceived as a community of practice, bringing together forward-thinking leaders from diverse higher education institutions to leverage insight and action analytics in their ongoing efforts to help students learn well and finish strong. We define insight and action analytics as drawing, federating, and analyzing data from…
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Idea and Action: Action Research and the Development of Conceptual Change Teaching of Science.
ERIC Educational Resources Information Center
Tabachnick, B. Robert; Zeichner, Kenneth M.
1999-01-01
Describes and analyzes an action-research seminar for prospective elementary and secondary teachers in terms of how it facilitated prospective teachers' learning to teach for conceptual change. Contains 37 references. (Author/WRM)
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Rosenbaum, David A.; Chapman, Kate M.; Coelho, Chase J.; Gong, Lanyun; Studenka, Breanna E.
2013-01-01
Actions that are chosen have properties that distinguish them from actions that are not. Of the nearly infinite possible actions that can achieve any given task, many of the unchosen actions are irrelevant, incorrect, or inappropriate. Others are relevant, correct, or appropriate but are disfavored for other reasons. Our research focuses on the question of what distinguishes actions that are chosen from actions that are possible but are not. We review studies that use simple preference methods to identify factors that contribute to action choices, especially for object-manipulation tasks. We can determine which factors are especially important through simple behavioral experiments. PMID:23761769
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Sensitivity to structure in action sequences: An infant event-related potential study.
Monroy, Claire D; Gerson, Sarah A; Domínguez-Martínez, Estefanía; Kaduk, Katharina; Hunnius, Sabine; Reid, Vincent
2017-05-06
Infants are sensitive to structure and patterns within continuous streams of sensory input. This sensitivity relies on statistical learning, the ability to detect predictable regularities in spatial and temporal sequences. Recent evidence has shown that infants can detect statistical regularities in action sequences they observe, but little is known about the neural process that give rise to this ability. In the current experiment, we combined electroencephalography (EEG) with eye-tracking to identify electrophysiological markers that indicate whether 8-11-month-old infants detect violations to learned regularities in action sequences, and to relate these markers to behavioral measures of anticipation during learning. In a learning phase, infants observed an actor performing a sequence featuring two deterministic pairs embedded within an otherwise random sequence. Thus, the first action of each pair was predictive of what would occur next. One of the pairs caused an action-effect, whereas the second did not. In a subsequent test phase, infants observed another sequence that included deviant pairs, violating the previously observed action pairs. Event-related potential (ERP) responses were analyzed and compared between the deviant and the original action pairs. Findings reveal that infants demonstrated a greater Negative central (Nc) ERP response to the deviant actions for the pair that caused the action-effect, which was consistent with their visual anticipations during the learning phase. Findings are discussed in terms of the neural and behavioral processes underlying perception and learning of structured action sequences. Copyright © 2017 Elsevier Ltd. All rights reserved.
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ERIC Educational Resources Information Center
McKee, Anne; Markless, Sharon
2017-01-01
This paper reports on a Curriculum Innovation Project to empower third-year Undergraduate Medical students to recognise learning opportunities in their clinical placements and to proactively use them to develop their understanding and practice. The project created action learning sets (ALS) in response to the challenges students face when trying…
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ERIC Educational Resources Information Center
Maoto, S.
2011-01-01
This article explores learning opportunities offered by students' written reflections as they learn through writing an action research proposal. From tapping into students' reported struggles, I analysed data using three stages of qualitative data analysis: data reduction, data display, and conclusion drawing (Miles and Huberman 1994). It emerged…
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Community Action Projects: Applying Biotechnology in the Real World
ERIC Educational Resources Information Center
Nguyen, Phuong D.; Siegel, Marcelle A.
2015-01-01
Project-based learning and action research are powerful pedagogies in improving science education. We implemented a semester-long course using project-based action research to help students apply biotechnology knowledge learned in the classroom to the real world. Students had several choices to make in the project: working individually or as a…
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Use of Action Research in Nursing Education
Pehler, Shelley-Rae; Stombaugh, Angela
2016-01-01
Purpose. The purpose of this article is to describe action research in nursing education and to propose a definition of action research for providing guidelines for research proposals and criteria for assessing potential publications for nursing higher education. Methods. The first part of this project involved a search of the literature on action research in nursing higher education from 1994 to 2013. Searches were conducted in the CINAHL and MEDLINE databases. Applying the criteria identified, 80 publications were reviewed. The second part of the project involved a literature review of action research methodology from several disciplines to assist in assessing articles in this review. Results. This article summarizes the nursing higher education literature reviewed and provides processes and content related to four topic areas in nursing higher education. The descriptions assist researchers in learning more about the complexity of both the action research process and the varied outcomes. The literature review of action research in many disciplines along with the review of action research in higher education provided a framework for developing a nursing-education-centric definition of action research. Conclusions. Although guidelines for developing action research and criteria for publication are suggested, continued development of methods for synthesizing action research is recommended. PMID:28078138
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Investigating action understanding: inferential processes versus action simulation.
Brass, Marcel; Schmitt, Ruth M; Spengler, Stephanie; Gergely, György
2007-12-18
In our daily life, we continuously monitor others' behaviors and interpret them in terms of goals, intentions, and reasons. Despite their central importance for predicting and interpreting each other's actions, the functional mechanisms and neural circuits involved in action understanding remain highly controversial. Two alternative accounts have been advanced. Simulation theory assumes that we understand actions by simulating the observed behavior through a direct matching process that activates the mirror-neuron circuit. The alternative interpretive account assumes that action understanding is based on specialized inferential processes activating brain areas with no mirror properties. Although both approaches recognize the central role of contextual information in specifying action intentions, their respective accounts of this process differ in significant respects. Here, we investigated the role of context in action understanding by using functional brain imaging while participants observed an unusual action in implausible versus plausible contexts. We show that brain areas that are part of a network involved in inferential interpretive processes of rationalization and mentalization but that lack mirror properties are more active when the action occurs in an implausible context. However, no differential activation was found in the mirror network. Our findings support the assumption that action understanding in novel situations is primarily mediated by an inferential interpretive system rather than the mirror system.
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Möttönen, Riikka; Farmer, Harry; Watkins, Kate E
2016-01-29
People can communicate by using hand actions, e.g., signs. Understanding communicative actions requires that the observer knows that the actor has an intention to communicate and the meanings of the actions. Here, we investigated how this prior knowledge affects processing of observed actions. We used functional MRI to determine changes in action processing when non-signers were told that the observed actions are communicative (i.e., signs) and learned the meanings of half of the actions. Processing of hand actions activated the left and right inferior frontal gyrus (IFG, BA 44 and 45) when the communicative intention of the actor was known, even when the meanings of the actions remained unknown. These regions were not active when the observers did not know about the communicative nature of the hand actions. These findings suggest that the left and right IFG play a role in understanding the intention of the actor, but do not process visuospatial features of the communicative actions. Knowing the meanings of the hand actions further enhanced activity in the anterior part of the IFG (BA 45), the inferior parietal lobule and posterior inferior and middle temporal gyri in the left hemisphere. These left-hemisphere language regions could provide a link between meanings and observed actions. In sum, the findings provide evidence for the segregation of the networks involved in the neural processing of visuospatial features of communicative hand actions and those involved in understanding the actor's intention and the meanings of the actions. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.
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A Neural Basis of Facial Action Recognition in Humans
Srinivasan, Ramprakash; Golomb, Julie D.
2016-01-01
By combining different facial muscle actions, called action units, humans can produce an extraordinarily large number of facial expressions. Computational models and studies in cognitive science and social psychology have long hypothesized that the brain needs to visually interpret these action units to understand other people's actions and intentions. Surprisingly, no studies have identified the neural basis of the visual recognition of these action units. Here, using functional magnetic resonance imaging and an innovative machine learning analysis approach, we identify a consistent and differential coding of action units in the brain. Crucially, in a brain region thought to be responsible for the processing of changeable aspects of the face, multivoxel pattern analysis could decode the presence of specific action units in an image. This coding was found to be consistent across people, facilitating the estimation of the perceived action units on participants not used to train the multivoxel decoder. Furthermore, this coding of action units was identified when participants attended to the emotion category of the facial expression, suggesting an interaction between the visual analysis of action units and emotion categorization as predicted by the computational models mentioned above. These results provide the first evidence for a representation of action units in the brain and suggest a mechanism for the analysis of large numbers of facial actions and a loss of this capacity in psychopathologies. SIGNIFICANCE STATEMENT Computational models and studies in cognitive and social psychology propound that visual recognition of facial expressions requires an intermediate step to identify visible facial changes caused by the movement of specific facial muscles. Because facial expressions are indeed created by moving one's facial muscles, it is logical to assume that our visual system solves this inverse problem. Here, using an innovative machine learning method and
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Action video game play facilitates the development of better perceptual templates.
Bejjanki, Vikranth R; Zhang, Ruyuan; Li, Renjie; Pouget, Alexandre; Green, C Shawn; Lu, Zhong-Lin; Bavelier, Daphne
2014-11-25
The field of perceptual learning has identified changes in perceptual templates as a powerful mechanism mediating the learning of statistical regularities in our environment. By measuring threshold-vs.-contrast curves using an orientation identification task under varying levels of external noise, the perceptual template model (PTM) allows one to disentangle various sources of signal-to-noise changes that can alter performance. We use the PTM approach to elucidate the mechanism that underlies the wide range of improvements noted after action video game play. We show that action video game players make use of improved perceptual templates compared with nonvideo game players, and we confirm a causal role for action video game play in inducing such improvements through a 50-h training study. Then, by adapting a recent neural model to this task, we demonstrate how such improved perceptual templates can arise from reweighting the connectivity between visual areas. Finally, we establish that action gamers do not enter the perceptual task with improved perceptual templates. Instead, although performance in action gamers is initially indistinguishable from that of nongamers, action gamers more rapidly learn the proper template as they experience the task. Taken together, our results establish for the first time to our knowledge the development of enhanced perceptual templates following action game play. Because such an improvement can facilitate the inference of the proper generative model for the task at hand, unlike perceptual learning that is quite specific, it thus elucidates a general learning mechanism that can account for the various behavioral benefits noted after action game play.
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Action video game play facilitates the development of better perceptual templates
Bejjanki, Vikranth R.; Zhang, Ruyuan; Li, Renjie; Pouget, Alexandre; Green, C. Shawn; Lu, Zhong-Lin; Bavelier, Daphne
2014-01-01
The field of perceptual learning has identified changes in perceptual templates as a powerful mechanism mediating the learning of statistical regularities in our environment. By measuring threshold-vs.-contrast curves using an orientation identification task under varying levels of external noise, the perceptual template model (PTM) allows one to disentangle various sources of signal-to-noise changes that can alter performance. We use the PTM approach to elucidate the mechanism that underlies the wide range of improvements noted after action video game play. We show that action video game players make use of improved perceptual templates compared with nonvideo game players, and we confirm a causal role for action video game play in inducing such improvements through a 50-h training study. Then, by adapting a recent neural model to this task, we demonstrate how such improved perceptual templates can arise from reweighting the connectivity between visual areas. Finally, we establish that action gamers do not enter the perceptual task with improved perceptual templates. Instead, although performance in action gamers is initially indistinguishable from that of nongamers, action gamers more rapidly learn the proper template as they experience the task. Taken together, our results establish for the first time to our knowledge the development of enhanced perceptual templates following action game play. Because such an improvement can facilitate the inference of the proper generative model for the task at hand, unlike perceptual learning that is quite specific, it thus elucidates a general learning mechanism that can account for the various behavioral benefits noted after action game play. PMID:25385590
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A corticostriatal deficit promotes temporal distortion of automatic action in ageing
Matamales, Miriam; Skrbis, Zala; Bailey, Matthew R; Balsam, Peter D; Balleine, Bernard W; Götz, Jürgen
2017-01-01
The acquisition of motor skills involves implementing action sequences that increase task efficiency while reducing cognitive loads. This learning capacity depends on specific cortico-basal ganglia circuits that are affected by normal ageing. Here, combining a series of novel behavioural tasks with extensive neuronal mapping and targeted cell manipulations in mice, we explored how ageing of cortico-basal ganglia networks alters the microstructure of action throughout sequence learning. We found that, after extended training, aged mice produced shorter actions and displayed squeezed automatic behaviours characterised by ultrafast oligomeric action chunks that correlated with deficient reorganisation of corticostriatal activity. Chemogenetic disruption of a striatal subcircuit in young mice reproduced age-related within-sequence features, and the introduction of an action-related feedback cue temporarily restored normal sequence structure in aged mice. Our results reveal static properties of aged cortico-basal ganglia networks that introduce temporal limits to action automaticity, something that can compromise procedural learning in ageing. PMID:29058672
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Efficient computation of optimal actions.
Todorov, Emanuel
2009-07-14
Optimal choice of actions is a fundamental problem relevant to fields as diverse as neuroscience, psychology, economics, computer science, and control engineering. Despite this broad relevance the abstract setting is similar: we have an agent choosing actions over time, an uncertain dynamical system whose state is affected by those actions, and a performance criterion that the agent seeks to optimize. Solving problems of this kind remains hard, in part, because of overly generic formulations. Here, we propose a more structured formulation that greatly simplifies the construction of optimal control laws in both discrete and continuous domains. An exhaustive search over actions is avoided and the problem becomes linear. This yields algorithms that outperform Dynamic Programming and Reinforcement Learning, and thereby solve traditional problems more efficiently. Our framework also enables computations that were not possible before: composing optimal control laws by mixing primitives, applying deterministic methods to stochastic systems, quantifying the benefits of error tolerance, and inferring goals from behavioral data via convex optimization. Development of a general class of easily solvable problems tends to accelerate progress--as linear systems theory has done, for example. Our framework may have similar impact in fields where optimal choice of actions is relevant.
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ERIC Educational Resources Information Center
Fleischer, Barbara J.; DeMoor, Emily
2015-01-01
Environmental consciousness-raising programs tend to emphasize the magnitude of imminent ecological disasters, if humans continue on their current trajectory. While these environmental literacy programs also call for action to avoid cataclysmic ecological changes, psychological research on "learned helplessness" suggests that information…
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Action Learning on the Edge: Contributing to a Master's Programme in Human Resources for Health
ERIC Educational Resources Information Center
Edmonstone, John; Robson, Jean
2014-01-01
This account of practice describes the introduction of an accredited postgraduate management qualification which used action learning as a major contribution to a blended learning approach in a fragile cross-border setting on the edge of Europe. Conventional management education has frequently been challenged on the grounds of relevance, efficacy…
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ERIC Educational Resources Information Center
Bolly, Madina; Jonas, Nicolas
2015-01-01
Action Research on Measuring Literacy Programme Participants' Learning Outcomes (RAMAA) aims to develop, implement and collaborate on the creation of a methodological approach to measure acquired learning and study the various factors that influence its development. This report examines how RAMAA I has been implemented over the past four years in…
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The Cost of Action Miscues: Hemispheric Asymmetries
ERIC Educational Resources Information Center
Shenal, Brian V.; Hinze, Stephan; Heilman, Kenneth M.
2012-01-01
Adaptive behaviors require preparation and when necessary inhibition or alteration of actions. The right hemisphere has been posited to be dominant for preparatory motor activation. This experiment was designed to learn if there are hemispheric asymmetries in the control of altered plans of actions. Cues, both valid and invalid, which indicate the…
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Action-based flood forecasting for triggering humanitarian action
NASA Astrophysics Data System (ADS)
Coughlan de Perez, Erin; van den Hurk, Bart; van Aalst, Maarten K.; Amuron, Irene; Bamanya, Deus; Hauser, Tristan; Jongma, Brenden; Lopez, Ana; Mason, Simon; Mendler de Suarez, Janot; Pappenberger, Florian; Rueth, Alexandra; Stephens, Elisabeth; Suarez, Pablo; Wagemaker, Jurjen; Zsoter, Ervin
2016-09-01
Too often, credible scientific early warning information of increased disaster risk does not result in humanitarian action. With financial resources tilted heavily towards response after a disaster, disaster managers have limited incentive and ability to process complex scientific data, including uncertainties. These incentives are beginning to change, with the advent of several new forecast-based financing systems that provide funding based on a forecast of an extreme event. Given the changing landscape, here we demonstrate a method to select and use appropriate forecasts for specific humanitarian disaster prevention actions, even in a data-scarce location. This action-based forecasting methodology takes into account the parameters of each action, such as action lifetime, when verifying a forecast. Forecasts are linked with action based on an understanding of (1) the magnitude of previous flooding events and (2) the willingness to act "in vain" for specific actions. This is applied in the context of the Uganda Red Cross Society forecast-based financing pilot project, with forecasts from the Global Flood Awareness System (GloFAS). Using this method, we define the "danger level" of flooding, and we select the probabilistic forecast triggers that are appropriate for specific actions. Results from this methodology can be applied globally across hazards and fed into a financing system that ensures that automatic, pre-funded early action will be triggered by forecasts.
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From action to abstraction: Gesture as a mechanism of change
Goldin-Meadow, Susan
2015-01-01
Piaget was a master at observing the routine behaviors children produce as they go from knowing less to knowing more about at a task, and making inferences not only about how the children understood the task at each point, but also about how they progressed from one point to the next. In this paper, I examine a routine behavior that Piaget overlooked—the spontaneous gestures speakers produce as they explain their solutions to a problem. These gestures are not mere hand waving. They reflect ideas that the speaker has about the problem, often ideas that are not found in that speaker’s talk. But gesture can do more than reflect ideas—it can also change them. In this sense, gesture behaves like any other action; both gesture and action on objects facilitate learning problems on which training was given. However, only gesture promotes transferring the knowledge gained to problems that require generalization. Gesture is, in fact, a special kind of action in that it represents the world rather than directly manipulating the world (gesture does not move objects around). The mechanisms by which gesture and action promote learning may therefore differ—gesture is able to highlight components of an action that promote abstract learning while leaving out details that could tie learning to a specific context. Because it is both an action and a representation, gesture can serve as a bridge between the two and thus be a powerful tool for learning abstract ideas. PMID:26692629
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From action to abstraction: Gesture as a mechanism of change.
Goldin-Meadow, Susan
2015-12-01
Piaget was a master at observing the routine behaviors children produce as they go from knowing less to knowing more about at a task, and making inferences not only about how the children understood the task at each point, but also about how they progressed from one point to the next. In this paper, I examine a routine behavior that Piaget overlooked-the spontaneous gestures speakers produce as they explain their solutions to a problem. These gestures are not mere hand waving. They reflect ideas that the speaker has about the problem, often ideas that are not found in that speaker's talk. But gesture can do more than reflect ideas-it can also change them. In this sense, gesture behaves like any other action; both gesture and action on objects facilitate learning problems on which training was given. However, only gesture promotes transferring the knowledge gained to problems that require generalization. Gesture is, in fact, a special kind of action in that it represents the world rather than directly manipulating the world (gesture does not move objects around). The mechanisms by which gesture and action promote learning may therefore differ-gesture is able to highlight components of an action that promote abstract learning while leaving out details that could tie learning to a specific context. Because it is both an action and a representation, gesture can serve as a bridge between the two and thus be a powerful tool for learning abstract ideas.
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ERIC Educational Resources Information Center
Maryland State Dept. of Education, Baltimore.
As a result of lengthy deliberations and review of evidence-based proven practices by the Leadership in Action Program in Maryland, this action agenda details 6 goals, 25 strategies, and 106 action steps determined as most critical to ensuring that all of Maryland's children will enter school ready to learn. The action agenda was submitted to the…
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Brandone, Amanda C; Pence, Khara L; Golinkoff, Roberta Michnick; Hirsh-Pasek, Kathy
2007-01-01
This paper explores how children use two possible solutions to the verb-mapping problem: attention to perceptually salient actions and attention to social and linguistic information (speaker cues). Twenty-two-month-olds attached a verb to one of two actions when perceptual cues (presence/absence of a result) coincided with speaker cues but not when these cues were placed into conflict (Experiment 1), and not when both possible referent actions were perceptually salient (Experiment 2). By 34 months, children were able to override perceptual cues to learn the name of an action that was not perceptually salient (Experiment 3). Results demonstrate an early reliance on perceptual information for verb mapping and an emerging tendency to weight speaker information more heavily over developmental time.
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Thompson, Joseph J; McColeman, C M; Stepanova, Ekaterina R; Blair, Mark R
2017-04-01
Many theories of complex cognitive-motor skill learning are built on the notion that basic cognitive processes group actions into easy-to-perform sequences. The present work examines predictions derived from laboratory-based studies of motor chunking and motor preparation using data collected from the real-time strategy video game StarCraft 2. We examined 996,163 action sequences in the telemetry data of 3,317 players across seven levels of skill. As predicted, the latency to the first action (thought to be the beginning of a chunked sequence) is delayed relative to the other actions in the group. Other predictions, inspired by the memory drum theory of Henry and Rogers, received only weak support. Copyright © 2017 Cognitive Science Society, Inc.
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ERIC Educational Resources Information Center
Luckman, Elizabeth A.
2017-01-01
This account of practice examines the implementation of and reactions to action learning through the Lean methodology in a unique, cross-cultural context. I review my time spent as a Lean coach; engaging with, training, and using action learning with employees in a garment manufacturing facility located in Bali, Indonesia. This research addresses…
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Green, Dorota; Li, Qi; Lockman, Jeffrey J; Gredebäck, Gustaf
2016-05-01
The cultural specificity of action prediction was assessed in 8-month-old Chinese and Swedish infants. Infants were presented with an actor eating with a spoon or chopsticks. Predictive goal-directed gaze shifts were examined using eye tracking. The results demonstrate that Chinese infants only predict the goal of eating actions performed with chopsticks, whereas Swedish infants exclusively predict the goal of eating actions performed with a spoon. Infants in neither culture predicted the goal of object manipulation actions (e.g., picking up food) performed with a spoon or chopsticks. The results support the view that multiple processes (both visual/cultural learning and motor-based direct matching processes) facilitate goal prediction during observation of other peoples' actions early in infancy. © 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.
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ERIC Educational Resources Information Center
Gabrielsson, Jonas; Tell, Joakim; Politis, Diamanto
2010-01-01
Recent calls to close the rigour-relevance gap in business school education have suggested incorporating principles and ideas from action learning in small business management education. In this paper we discuss how business simulation exercises can be used as a platform to trigger students' learning by providing them with a platform where they…
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Machine learning action parameters in lattice quantum chromodynamics
NASA Astrophysics Data System (ADS)
Shanahan, Phiala E.; Trewartha, Daniel; Detmold, William
2018-05-01
Numerical lattice quantum chromodynamics studies of the strong interaction are important in many aspects of particle and nuclear physics. Such studies require significant computing resources to undertake. A number of proposed methods promise improved efficiency of lattice calculations, and access to regions of parameter space that are currently computationally intractable, via multi-scale action-matching approaches that necessitate parametric regression of generated lattice datasets. The applicability of machine learning to this regression task is investigated, with deep neural networks found to provide an efficient solution even in cases where approaches such as principal component analysis fail. The high information content and complex symmetries inherent in lattice QCD datasets require custom neural network layers to be introduced and present opportunities for further development.
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Developing Citizens and Communities through Youth Environmental Action
ERIC Educational Resources Information Center
Schusler, Tania M.; Krasny, Marianne E.; Peters, Scott J.; Decker, Daniel J.
2009-01-01
Although several studies have examined learning outcomes of environmental action experiences for youth, little is known about the aims motivating practitioners to involve youth in action creating positive environmental and social change, nor how practitioners perceive success. This research explored through phenomenological interviews…
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Preschool Work against Bullying and Degrading Treatment: Experiences from an Action Learning Project
ERIC Educational Resources Information Center
Söderström, Åsa; Löfdahl Hultman, Annica
2017-01-01
This article deals with experiences from an action learning project against bullying and degrading treatment among nine Swedish preschools. Even though definitions of bullying and degrading treatment tend to lead to thoughts of school-age children rather than preschoolers, previous research shows that bullying occurs in preschool as well. Our data…
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Hearing sounds, understanding actions: action representation in mirror neurons.
Kohler, Evelyne; Keysers, Christian; Umiltà, M Alessandra; Fogassi, Leonardo; Gallese, Vittorio; Rizzolatti, Giacomo
2002-08-02
Many object-related actions can be recognized by their sound. We found neurons in monkey premotor cortex that discharge when the animal performs a specific action and when it hears the related sound. Most of the neurons also discharge when the monkey observes the same action. These audiovisual mirror neurons code actions independently of whether these actions are performed, heard, or seen. This discovery in the monkey homolog of Broca's area might shed light on the origin of language: audiovisual mirror neurons code abstract contents-the meaning of actions-and have the auditory access typical of human language to these contents.
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Empowering the Music Educator through Action Research
ERIC Educational Resources Information Center
Laprise, Richard
2017-01-01
Action research is an empowering experience for educators, yet many believe that they do not have the time, resources, or knowledge to make it a worthwhile experience. What do you need to know to feel confident in making action research a method of bettering your teaching and your students' learning? This article reveals how to make this process…
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49 CFR 27.11 - Remedial action, voluntary action and compliance planning.
Code of Federal Regulations, 2011 CFR
2011-10-01
... 49 Transportation 1 2011-10-01 2011-10-01 false Remedial action, voluntary action and compliance....11 Remedial action, voluntary action and compliance planning. (a) Remedial action. (1) If the... discrimination not occurred. (b) Voluntary action. A recipient may take steps, in addition to any action that is...
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Foerst, Nora M; Klug, Julia; Jöstl, Gregor; Spiel, Christiane; Schober, Barbara
2017-01-01
University students are supposed to be autonomous learners, able to adapt to an educational environment significantly less guided than school. Entering higher education poses a challenge of self-regulation, in which beginning students are often not prepared with self-regulation strategies needed. Since there are many studies assessing self-regulated learning (SRL) via classical self-reports, we know a lot about how students generally self-assess their SRL strategies. However, SRL and performance do not always correlate highly in these studies. The aim of the present study is to determine whether there are discrepancies between students' knowledge about SRL and their action in applying adequate SRL strategies in relevant learning situations. We also want to know whether such discrepancies generalize across domains and what the reasons for discrepancies are. The situation-specific Self-Regulated Learning Questionnaire for Action and Knowledge (SRL-QuAK) was used in a sample of 408 psychology and economic sciences students. Descriptive data analysis was conducted to determine potential discrepancies between SRL knowledge and action and differences between the study domains in an explorative way. The reasons for not using SRL-strategies were derived via qualitative content analysis. The results showed that although students had quite advanced knowledge of SRL strategies, they did not put this knowledge into action. This dissonance between SRL knowledge and action was found in both domains. In terms of reasons, students stated that they (a) lacked the time to use SRL strategies, (b) would not benefit from SRL strategies in the given situation, (c) would not be able to put the strategies to use effectively or (d) found it too arduous to use SRL strategies. The implications of these results will be discussed, e.g., the consequences for measures to overcome students' dissonance between knowledge and action and therefore to promote academic performance and well-being.
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Foerst, Nora M.; Klug, Julia; Jöstl, Gregor; Spiel, Christiane; Schober, Barbara
2017-01-01
University students are supposed to be autonomous learners, able to adapt to an educational environment significantly less guided than school. Entering higher education poses a challenge of self-regulation, in which beginning students are often not prepared with self-regulation strategies needed. Since there are many studies assessing self-regulated learning (SRL) via classical self-reports, we know a lot about how students generally self-assess their SRL strategies. However, SRL and performance do not always correlate highly in these studies. The aim of the present study is to determine whether there are discrepancies between students' knowledge about SRL and their action in applying adequate SRL strategies in relevant learning situations. We also want to know whether such discrepancies generalize across domains and what the reasons for discrepancies are. The situation-specific Self-Regulated Learning Questionnaire for Action and Knowledge (SRL-QuAK) was used in a sample of 408 psychology and economic sciences students. Descriptive data analysis was conducted to determine potential discrepancies between SRL knowledge and action and differences between the study domains in an explorative way. The reasons for not using SRL-strategies were derived via qualitative content analysis. The results showed that although students had quite advanced knowledge of SRL strategies, they did not put this knowledge into action. This dissonance between SRL knowledge and action was found in both domains. In terms of reasons, students stated that they (a) lacked the time to use SRL strategies, (b) would not benefit from SRL strategies in the given situation, (c) would not be able to put the strategies to use effectively or (d) found it too arduous to use SRL strategies. The implications of these results will be discussed, e.g., the consequences for measures to overcome students' dissonance between knowledge and action and therefore to promote academic performance and well-being. PMID
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Sridharan, Sanjeev; Maplazi, Joanna; Shirodkar, Apurva; Richardson, Emma; Nakaima, April
2016-01-01
Background Mainstreaming of gender, equity, and human rights (GER) is an important focus of the World Health Organization (WHO) and other UN organizations. This paper explores the role of action plans in mainstreaming GER. This paper is informed by a theory-driven evaluation lens. Design A theory of change framework explored the following seven dimensions of how action plans can implement mainstreaming of GER: awareness of the foundations of GER; understanding of context; planning to impact GER; implementation for GER; monitoring, evaluation, and learning; planning for sustainability; agenda setting and buy-in. The seven dimensions were used to analyze the action plans. Reviewers also explored innovations within each of the action plans for the seven dimensions. Results GER mainstreaming is more prominent in the foundation, background, and planning components of the plan but becomes less so along the theory of change including implementation; monitoring and evaluation; sustainability; and agenda setting and buy-in. Conclusions Our analysis demonstrates that much more can be done to incorporate GER considerations into the action planning process. Nine specific recommendations are identified for WHO and other organizations. A theory-driven approach as described in the paper is potentially helpful for developing clarity by which action plans can help with mainstreaming GER considerations. PMID:27606968
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Where is the action? Action sentence processing in Parkinson's disease
Fernandino, Leonardo; Conant, Lisa L.; Binder, Jeffrey R.; Blindauer, Karen; Hiner, Bradley; Spangler, Katie; Desai, Rutvik H.
2013-01-01
According to an influential view of conceptual representation, action concepts are understood through motoric simulations, involving motor networks of the brain. A stronger version of this embodied account suggests that even figurative uses of action words (e.g., grasping the concept) are understood through motoric simulations. We investigated these claims by assessing whether Parkinson's disease (PD), a disorder affecting the motor system, is associated with selective deficits in comprehending action-related sentences. Twenty PD patients and 21 age-matched controls performed a sentence comprehension task, where sentences belonged to one of four conditions: literal action, non-idiomatic metaphoric action, idiomatic action, and abstract. The same verbs (referring to hand/arm actions) were used in the three action-related conditions. Patients, but not controls, were slower to respond to literal and idiomatic action than to abstract sentences. These results indicate that sensory-motor systems play a functional role in semantic processing, including processing of figurative action language. PMID:23624313
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ERIC Educational Resources Information Center
Gómez Puente, S. M.; van Eijck, M.; Jochems, W.
2013-01-01
Background: In research on design-based learning (DBL), inadequate attention is paid to the role the teacher plays in supervising students in gathering and applying knowledge to design artifacts, systems, and innovative solutions in higher education. Purpose: In this study, we examine whether teacher actions we previously identified in the DBL…
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Bennett, Sally; Whitehead, Mary; Eames, Sally; Fleming, Jennifer; Low, Shanling; Caldwell, Elizabeth
2016-10-01
There has been widespread acknowledgement of the need to build capacity in knowledge translation however much of the existing work focuses on building capacity amongst researchers rather than with clinicians directly. This paper's aim is to describe a research project for developing a knowledge translation capacity building program for occupational therapy clinicians. Participatory action research methods were used to both develop and evaluate the knowledge translation capacity-building program. Participants were occupational therapists from a large metropolitan hospital in Australia. Researchers and clinicians worked together to use the action cycle of the Knowledge to Action Framework to increase use of knowledge translation itself within the department in general, within their clinical teams, and to facilitate knowledge translation becoming part of the department's culture. Barriers and enablers to using knowledge translation were identified through a survey based on the Theoretical Domains Framework and through focus groups. Multiple interventions were used to develop a knowledge translation capacity-building program. Fifty-two occupational therapists participated initially, but only 20 across the first 18 months of the project. Barriers and enablers were identified across all domains of the Theoretical Domains Framework. Interventions selected to address these barriers or facilitate enablers were categorised into ten different categories: educational outreach; teams working on clinical knowledge translation case studies; identifying time blocks for knowledge translation; mentoring; leadership strategies; communication strategies; documentation and resources to support knowledge translation; funding a knowledge translation champion one day per week; setting goals for knowledge translation; and knowledge translation reporting strategies. Use of these strategies was, and continues to be monitored. Participants continue to be actively involved in learning and
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Influence of verbal instructions on effect-based action control.
Eder, Andreas B; Dignath, David
2017-03-01
According to ideomotor theory, people use bidirectional associations between movements and their effects for action selection and initiation. Our experiments examined how verbal instructions of action effects influence response selection without prior experience of action effects in a separate acquisition phase. Instructions for different groups of participants specified whether they should ignore, attend, learn, or intentionally produce acoustic effects produced by button presses. Results showed that explicit instructions of action-effect relations trigger effect-congruent action tendencies in the first trials following the instruction; in contrast, no evidence for effect-based action control was observed in these trials when instructions were to ignore or to attend to the action effects. These findings show that action-effect knowledge acquired through verbal instruction and direct experience is similarly effective for effect-based action control as long as the relation between the movement and the effect is clearly spelled out in the instruction.
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ERIC Educational Resources Information Center
Lavine, Marc H.; Roussin, Christopher J.
2012-01-01
The authors describe a semester-long action-learning project where undergraduate or graduate management students learn about ethics, responsibility, and organizational behavior by examining the policy of their college or university that addresses academic integrity. Working in teams, students adopt a stakeholder management approach as they make…
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Action methods in the classroom: creative strategies for nursing education.
McLaughlin, Dorcas E; Freed, Patricia E; Tadych, Rita A
2006-01-01
Nursing education recognizes the need for a framework of experiential learning that supports the development of professional roles. Action methods, originated by Jacob L. Moreno (1953), can be readily adapted to any nursing classroom to create the conditions under which students learn and practice professional nursing roles. While nurse faculty can learn to use action methods, they may not fully comprehend their theoretical underpinnings or may believe they are only used in therapy. This article explores Moreno's ideas related to psychodrama and sociodrama applied in classroom settings, and presents many examples and tips for classroom teachers who wish to incorporate action methods into their classes.
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The Reflective Teacher Leader: An Action Research Model
ERIC Educational Resources Information Center
Furtado, Leena; Anderson, Dawnette
2012-01-01
This study presents four teacher reflections from action research projects ranging from kindergarten to adult school improvements. A teacher leadership matrix guided participants to connect teaching and learning theory to best practices by exploring uncharted territory within an iterative cycle of research and action. Teachers developed the…
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GREENIFY: A Real-World Action Game for Climate Change Education
ERIC Educational Resources Information Center
Lee, Joey J.; Ceyhan, Pinar; Jordan-Cooley, William; Sung, Woonhee
2013-01-01
The literature on climate change education recommends social, accessible action-oriented learning that is specifically designed to resonate with a target audience's values and worldview. This article discusses GREENIFY, a real-world action game designed to teach adult learners about climate change and motivate informed action. A pilot study…
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CSC Tip Sheets: Action Checklists
Learn how to use action checklists to motivate behavior change by providing a clear and concise list of activities that community members and organizations can use to reduce their carbon footprint and achieve other sustainability goals.
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Supporting clinical leadership through action: The nurse consultant role.
Rosser, Elizabeth; Grey, Rachael; Neal, Deborah; Reeve, Julie; Smith, Caroline; Valentine, Janine
2017-12-01
To evaluate the effectiveness of an action learning set to enhance clinical leadership and extend their scope and confidence more strategically. As the most senior clinical role in most healthcare systems, the consultant nurse role is a solitary one. They are required to develop personal resilience, commitment and a belief in their ability to lead, with new consultants needing a strong support network to succeed. Following a 2-year action learning set, four nurse consultants, one therapy consultant, and a university educationalist engaged in a cooperative inquiry approach using four cycles of discussion, reflection, analysis and action over an 18-month period from March 2015-July 2016, to learn how to change and enhance their working practices. Data were analysed thematically. Four themes emerged where the action learning set (i) offered structure and support, (ii) enabled a wider influence and (iii) empowered them to lead. The cooperative inquiry helped them realise how much they had gained from their collective learning and they felt empowered to lead. Their motivation to "make a difference" remains palpable. The outcomes of the cooperative inquiry included an enhanced understanding of the importance of openness and trust and a willingness to share and learn from each other in a respectful and confidential environment with a receptiveness to change. Self-leadership has clearly been accepted and embraced, and their collaboration has improved communication across the organisation, enhanced their strategic leadership capability and given confidence to disseminate externally. The action learning set offered structure to support these clinical leaders to keep them focused across the breadth of their role. Additionally, peer review with external facilitation has enabled these clinical leaders to gain a wider influence and empowered them to lead. © 2017 John Wiley & Sons Ltd.
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ERIC Educational Resources Information Center
Khany, Reza; Amiri, Majid
2018-01-01
Theoretical developments in second or foreign language motivation research have led to a better understanding of the convoluted nature of motivation in the process of language acquisition. Among these theories, action control theory has recently shown a good deal of explanatory power in second language learning contexts and in the presence of…
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How Trainee Music Teachers Learn about Teaching by Talking to Each Other: An Action Research Study
ERIC Educational Resources Information Center
Cain, Tim
2011-01-01
This article presents an action research study into how trainee music teachers in England use a structured discussion process called "Collegial Consultation" to learn about teaching. The research shows that, in Collegial Consultation, trainees learn from each other by offering several solutions to a problem, offering reasons for their…
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Steps to Leadership Action Learning Sets: "Make It Challenging but Not Too Challenging"
ERIC Educational Resources Information Center
Hughes, Derek
2010-01-01
This paper reviews how action learning was used as part of a regional leadership development programme involving a number of public sector organisations. It explores how the sets were designed and set up and the significant challenges that this particular approach brought. A number of positive tangible outcomes were produced from the sets and…
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The Learning of Visually Guided Action: An Information-Space Analysis of Pole Balancing
ERIC Educational Resources Information Center
Jacobs, David M.; Vaz, Daniela V.; Michaels, Claire F.
2012-01-01
In cart-pole balancing, one moves a cart in 1 dimension so as to balance an attached inverted pendulum. We approached perception-action and learning in this task from an ecological perspective. This entailed identifying a space of informational variables that balancers use as they perform the task and demonstrating that they improve by traversing…
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Harpur, Siobhan
2012-05-01
To use an action learning approach to encourage a group of executive leaders, responsible for the implementation of a state health reform agenda, to consider the leadership required to drive improvement in healthcare services. Based on an assertion that knowledge is co-produced and that deliberative and structured conversation can be a mechanism to drive change, an action learning approach was used to facilitate an interagency group of executive leaders, responsible for the implementation of a state health reform agenda, who were encouraged to consider the leadership required to drive improvement in healthcare services. It was difficult to assert how the group contributed specifically to the implementation of the health reform agenda but individuals gained insights and there was informal resolution of institutional tensions and differences. The method may provide new knowledge to the reform process over time. Getting the participants together was challenging, which may reflect the reality of time-poor executives, or a low commitment to giving time to structured and deliberative informal dialogue. Further work is required to test this thesis and the action learning approach with other parts of healthcare workforce.
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The Future of Pedagogical Action Research in Psychology
ERIC Educational Resources Information Center
Cormack, Sophie; Bourne, Victoria; Deuker, Charmaine; Norton, Lin; O'Siochcru, Cathal; Watling, Rosamond
2014-01-01
Psychology lecturers are well-qualified to carry out action research which would contribute to the theoretical understanding of learning as well as having practical benefits for students. Pedagogical action research demonstrates how knowledge of psychology can be applied to solve practical problems, providing role models of psychological literacy…
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Collective Action Competence: An Asset to Campus Sustainability
ERIC Educational Resources Information Center
Clark, Charlotte R.
2016-01-01
Purpose: The purpose of this paper is to operationalize theories of social learning and collective action for campus sustainability practitioners at higher education institutions (IHEs) to enhance their work, and to introduce the concept of collective action competence as a practical tool. Design/methodology/approach: This paper presents a…
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Machine learning action parameters in lattice quantum chromodynamics
DOE Office of Scientific and Technical Information (OSTI.GOV)
Shanahan, Phiala; Trewartha, Daneil; Detmold, William
Numerical lattice quantum chromodynamics studies of the strong interaction underpin theoretical understanding of many aspects of particle and nuclear physics. Such studies require significant computing resources to undertake. A number of proposed methods promise improved efficiency of lattice calculations, and access to regions of parameter space that are currently computationally intractable, via multi-scale action-matching approaches that necessitate parametric regression of generated lattice datasets. The applicability of machine learning to this regression task is investigated, with deep neural networks found to provide an efficient solution even in cases where approaches such as principal component analysis fail. Finally, the high information contentmore » and complex symmetries inherent in lattice QCD datasets require custom neural network layers to be introduced and present opportunities for further development.« less
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Machine learning action parameters in lattice quantum chromodynamics
Shanahan, Phiala; Trewartha, Daneil; Detmold, William
2018-05-16
Numerical lattice quantum chromodynamics studies of the strong interaction underpin theoretical understanding of many aspects of particle and nuclear physics. Such studies require significant computing resources to undertake. A number of proposed methods promise improved efficiency of lattice calculations, and access to regions of parameter space that are currently computationally intractable, via multi-scale action-matching approaches that necessitate parametric regression of generated lattice datasets. The applicability of machine learning to this regression task is investigated, with deep neural networks found to provide an efficient solution even in cases where approaches such as principal component analysis fail. Finally, the high information contentmore » and complex symmetries inherent in lattice QCD datasets require custom neural network layers to be introduced and present opportunities for further development.« less
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Action-based effects on music perception
Maes, Pieter-Jan; Leman, Marc; Palmer, Caroline; Wanderley, Marcelo M.
2013-01-01
The classical, disembodied approach to music cognition conceptualizes action and perception as separate, peripheral processes. In contrast, embodied accounts of music cognition emphasize the central role of the close coupling of action and perception. It is a commonly established fact that perception spurs action tendencies. We present a theoretical framework that captures the ways in which the human motor system and its actions can reciprocally influence the perception of music. The cornerstone of this framework is the common coding theory, postulating a representational overlap in the brain between the planning, the execution, and the perception of movement. The integration of action and perception in so-called internal models is explained as a result of associative learning processes. Characteristic of internal models is that they allow intended or perceived sensory states to be transferred into corresponding motor commands (inverse modeling), and vice versa, to predict the sensory outcomes of planned actions (forward modeling). Embodied accounts typically refer to inverse modeling to explain action effects on music perception (Leman, 2007). We extend this account by pinpointing forward modeling as an alternative mechanism by which action can modulate perception. We provide an extensive overview of recent empirical evidence in support of this idea. Additionally, we demonstrate that motor dysfunctions can cause perceptual disabilities, supporting the main idea of the paper that the human motor system plays a functional role in auditory perception. The finding that music perception is shaped by the human motor system and its actions suggests that the musical mind is highly embodied. However, we advocate for a more radical approach to embodied (music) cognition in the sense that it needs to be considered as a dynamical process, in which aspects of action, perception, introspection, and social interaction are of crucial importance. PMID:24454299
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Action-based effects on music perception.
Maes, Pieter-Jan; Leman, Marc; Palmer, Caroline; Wanderley, Marcelo M
2014-01-03
The classical, disembodied approach to music cognition conceptualizes action and perception as separate, peripheral processes. In contrast, embodied accounts of music cognition emphasize the central role of the close coupling of action and perception. It is a commonly established fact that perception spurs action tendencies. We present a theoretical framework that captures the ways in which the human motor system and its actions can reciprocally influence the perception of music. The cornerstone of this framework is the common coding theory, postulating a representational overlap in the brain between the planning, the execution, and the perception of movement. The integration of action and perception in so-called internal models is explained as a result of associative learning processes. Characteristic of internal models is that they allow intended or perceived sensory states to be transferred into corresponding motor commands (inverse modeling), and vice versa, to predict the sensory outcomes of planned actions (forward modeling). Embodied accounts typically refer to inverse modeling to explain action effects on music perception (Leman, 2007). We extend this account by pinpointing forward modeling as an alternative mechanism by which action can modulate perception. We provide an extensive overview of recent empirical evidence in support of this idea. Additionally, we demonstrate that motor dysfunctions can cause perceptual disabilities, supporting the main idea of the paper that the human motor system plays a functional role in auditory perception. The finding that music perception is shaped by the human motor system and its actions suggests that the musical mind is highly embodied. However, we advocate for a more radical approach to embodied (music) cognition in the sense that it needs to be considered as a dynamical process, in which aspects of action, perception, introspection, and social interaction are of crucial importance.
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du Toit, Sanet H J; Wilkinson, Annette C; Adam, Kerry
2010-10-01
In South Africa, as in many other countries, the development of research capacity in students and their early professional career is regarded as of major importance. Within the context of clinical education for occupational therapy students at the University of the Free State, a lecturer and her students embarked on a collaborative journey while fulfilling the requirements of their undergraduate curriculum. The outcome is a model promoting evidence-based practice (EBP) during service development on a dementia care ward. The practical use of action learning, action research (ALAR) approach in the clinical context, was used to encourage student engagement in successive small-scale research projects while simulating EBP. The projects ranged from the development of therapeutic multi-sensory environments to compiling activity profiles for identified residents. At the same time, students had the opportunity to experience the value of a scientific approach to practice development, which stimulated their awareness of the importance of research. Reflection by the researcher contributed towards more effective ways for compiling project assignments and a formalised approach for assessing projects. Students described personal and professional gains because of participation in projects against the life-changing experience of rendering a service to elderly persons suffering from dementia. The formalised approach guiding thoughts and actions finally assisted in developing a practical process model that could support EBP. The ALAR model contributed towards a scholarship of practice where the students, clinical educator and residents of a dementia unit all experienced the value of research. © 2010 The Authors. Australian Occupational Therapy Journal © 2010 Australian Association of Occupational Therapists.
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A continuous-time neural model for sequential action.
Kachergis, George; Wyatte, Dean; O'Reilly, Randall C; de Kleijn, Roy; Hommel, Bernhard
2014-11-05
Action selection, planning and execution are continuous processes that evolve over time, responding to perceptual feedback as well as evolving top-down constraints. Existing models of routine sequential action (e.g. coffee- or pancake-making) generally fall into one of two classes: hierarchical models that include hand-built task representations, or heterarchical models that must learn to represent hierarchy via temporal context, but thus far lack goal-orientedness. We present a biologically motivated model of the latter class that, because it is situated in the Leabra neural architecture, affords an opportunity to include both unsupervised and goal-directed learning mechanisms. Moreover, we embed this neurocomputational model in the theoretical framework of the theory of event coding (TEC), which posits that actions and perceptions share a common representation with bidirectional associations between the two. Thus, in this view, not only does perception select actions (along with task context), but actions are also used to generate perceptions (i.e. intended effects). We propose a neural model that implements TEC to carry out sequential action control in hierarchically structured tasks such as coffee-making. Unlike traditional feedforward discrete-time neural network models, which use static percepts to generate static outputs, our biological model accepts continuous-time inputs and likewise generates non-stationary outputs, making short-timescale dynamic predictions. © 2014 The Author(s) Published by the Royal Society. All rights reserved.
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"Wuwei" (Non-Action) Philosophy and Actions: Rethinking "Actions" in School Reform
ERIC Educational Resources Information Center
Moon, Seungho
2015-01-01
This inquiry aims to enrich conversation regarding school reform. The author asks about what other discourses are possible when the action-oriented question of how to "act" is a major approach to "fix" current educational problems. Drawing from Taoist philosophy of "wuwei" (non-action), the author provides a frame to…
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Children Show Heightened Memory for Threatening Social Actions
ERIC Educational Resources Information Center
Baltazar, Nicole C.; Shutts, Kristin; Kinzler, Katherine D.
2012-01-01
Three experiments investigated whether a negativity bias in social perception extends to preschool-aged children's memory for the details of others' social actions and experiences. After learning about individuals who committed nice or mean social actions, children in Experiment 1 were more accurate at remembering who was mean compared with who…
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An Action-Research Project: Community Lead Poisoning Prevention
ERIC Educational Resources Information Center
Rajaram, Shireen S.
2007-01-01
This action-research project focused on gathering data on awareness of lead poisoning, as well as disseminating information on lead poisoning prevention in a metropolitan midwestern city. This project reflects an action-research approach to service learning and was in collaboration with a grass-roots organization. This paper outlines the daunting…
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Critical Action Learning: A Method or Strategy for Peer Supervision of Coaching Practice
ERIC Educational Resources Information Center
Turner, Arthur; Tee, David; Crompton, Sally
2017-01-01
This paper deals with the on-going practice of a critical action learning set who come together to meet their needs for coaching supervision as a group of executive coaches working from, and within, the University sector in South Wales. The reasons for the successes of, and the challenges around, this practice of four years standing have been…
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An Action Learning Approach to the Question: Are Ambulance Response Time Targets Achievable?
ERIC Educational Resources Information Center
Slater, Alan
2017-01-01
In recent years, NHS Ambulance Trusts throughout the UK have consistently failed to achieve their response time targets for both actual and potential life-threatening calls. To avoid a media and public outcry, the NHS response has been to change the basic parameters upon which the response time targets are calculated. An action learning study,…
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Ruitenberg, Marit F L; Duthoo, Wout; Santens, Patrick; Seidler, Rachael D; Notebaert, Wim; Abrahamse, Elger L
2016-12-01
Previous studies on movement sequence learning in Parkinson's disease (PD) have produced mixed results. A possible explanation for the inconsistent findings is that some studies have taken dopaminergic medication into account while others have not. Additionally, in previous studies the response modalities did not allow for an investigation of the action dynamics of sequential movements as they unfold over time. In the current study we investigated sequence learning in PD by specifically considering the role of medication status in a sequence learning task where mouse movements were performed. The focus on mouse movements allowed us to examine the action dynamics of sequential movement in terms of initiation time, movement time, movement accuracy, and velocity. PD patients performed the sequence learning task once on their regular medication, and once after overnight withdrawal from their medication. Results showed that sequence learning as reflected in initiation times was impaired when PD patients performed the task ON medication compared to OFF medication. In contrast, sequence learning as reflected in the accuracy of movement trajectories was enhanced when performing the task ON compared to OFF medication. Our findings suggest that while medication enhances execution processes of movement sequence learning, it may at the same time impair planning processes that precede actual execution. Overall, the current study extends earlier findings on movement sequence learning in PD by differentiating between various components of performance, and further refines previous dopamine overdose effects in sequence learning. Copyright © 2016 Elsevier Ltd. All rights reserved.
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Christopoulos, George I; King-Casas, Brooks
2015-01-01
In social environments, it is crucial that decision-makers take account of the impact of their actions not only for oneself, but also on other social agents. Previous work has identified neural signals in the striatum encoding value-based prediction errors for outcomes to oneself; also, recent work suggests that neural activity in prefrontal cortex may similarly encode value-based prediction errors related to outcomes to others. However, prior work also indicates that social valuations are not isomorphic, with social value orientations of decision-makers ranging on a cooperative to competitive continuum; this variation has not been examined within social learning environments. Here, we combine a computational model of learning with functional neuroimaging to examine how individual differences in orientation impact neural mechanisms underlying 'other-value' learning. Across four experimental conditions, reinforcement learning signals for other-value were identified in medial prefrontal cortex, and were distinct from self-value learning signals identified in striatum. Critically, the magnitude and direction of the other-value learning signal depended strongly on an individual's cooperative or competitive orientation toward others. These data indicate that social decisions are guided by a social orientation-dependent learning system that is computationally similar but anatomically distinct from self-value learning. The sensitivity of the medial prefrontal learning signal to social preferences suggests a mechanism linking such preferences to biases in social actions and highlights the importance of incorporating heterogeneous social predispositions in neurocomputational models of social behavior. Published by Elsevier Inc.
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With you or against you: Social orientation dependent learning signals guide actions made for others
Christopoulos, George I.; King-Casas, Brooks
2014-01-01
In social environments, it is crucial that decision-makers take account of the impact of their actions not only for oneself, but also on other social agents. Previous work has identified neural signals in the striatum encoding value-based prediction errors for outcomes to oneself; also, recent work suggests neural activity in prefrontal cortex may similarly encode value-based prediction errors related to outcomes to others. However, prior work also indicates that social valuations are not isomorphic, with social value orientations of decision-makers ranging on a cooperative to competitive continuum; this variation has not been examined within social learning environments. Here, we combine a computational model of learning with functional neuroimaging to examine how individual differences in orientation impact neural mechanisms underlying ‘other-value’ learning. Across four experimental conditions, reinforcement learning signals for other-value were identified in medial prefrontal cortex, and were distinct from self-value learning signals identified in striatum. Critically, the magnitude and direction of the other-value learning signal depended strongly on an individual’s cooperative or competitive orientation towards others. These data indicate that social decisions are guided by a social orientation-dependent learning system that is computationally similar but anatomically distinct from self-value learning. The sensitivity of the medial prefrontal learning signal to social preferences suggests a mechanism linking such preferences to biases in social actions and highlights the importance of incorporating heterogeneous social predispositions in neurocomputational models of social behavior. PMID:25224998
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ERIC Educational Resources Information Center
Kuhn, Jeffrey S.; Marsick, Victoria J.
2005-01-01
This article lays out a model of action learning for catalyzing strategic innovation in mature organizations that are faced with a new competitive playing field. Central to this model is the development of a set of sophisticated cognitive capabilities--sensemaking, strategic thinking, critical thinking, divergent thinking, conceptual capacity and…
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Inferences about Action Engage Action Systems
ERIC Educational Resources Information Center
Taylor, Lawrence J.; Lev-Ari, Shiri; Zwaan, Rolf A.
2008-01-01
Verbal descriptions of actions activate compatible motor responses [Glenberg, A. M., & Kaschak, M. P. (2002). Grounding language in action. "Psychonomic Bulletin & Review, 9", 558-565]. Previous studies have found that the motor processes for manual rotation are engaged in a direction-specific manner when a verb disambiguates the direction of…
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Dissociable contributions of motor-execution and action-observation to intramanual transfer.
Hayes, Spencer J; Elliott, Digby; Andrew, Matthew; Roberts, James W; Bennett, Simon J
2012-09-01
We examined the hypothesis that different processes and representations are associated with the learning of a movement sequence through motor-execution and action-observation. Following a pre-test in which participants attempted to achieve an absolute, and relative, time goal in a sequential goal-directed aiming movement, participants received either physical or observational practice with feedback. Post-test performance indicated that motor-execution and action-observation participants learned equally well. Participants then transferred to conditions where the gain between the limb movements and their visual consequences were manipulated. Under both bigger and smaller transfer conditions, motor-execution and action-observation participants exhibited similar intramanual transfer of absolute timing. However, participants in the action-observation group exhibited superior transfer of relative timing than the motor-execution group. These findings suggest that learning via action-observation is underpinned by a visual-spatial representation, while learning via motor-execution depends more on specific force-time planning (feed forward) and afferent processing associated with sensorimotor feedback. These behavioural effects are discussed with reference to neural processes associated with striatum, cerebellum and motor cortical regions (pre-motor cortex; SMA; pre-SMA).
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A neural network model of causative actions.
Lee-Hand, Jeremy; Knott, Alistair
2015-01-01
A common idea in models of action representation is that actions are represented in terms of their perceptual effects (see e.g., Prinz, 1997; Hommel et al., 2001; Sahin et al., 2007; Umiltà et al., 2008; Hommel, 2013). In this paper we extend existing models of effect-based action representations to account for a novel distinction. Some actions bring about effects that are independent events in their own right: for instance, if John smashes a cup, he brings about the event of the cup smashing. Other actions do not bring about such effects. For instance, if John grabs a cup, this action does not cause the cup to "do" anything: a grab action has well-defined perceptual effects, but these are not registered by the perceptual system that detects independent events involving external objects in the world. In our model, effect-based actions are implemented in several distinct neural circuits, which are organized into a hierarchy based on the complexity of their associated perceptual effects. The circuit at the top of this hierarchy is responsible for actions that bring about independently perceivable events. This circuit receives input from the perceptual module that recognizes arbitrary events taking place in the world, and learns movements that reliably cause such events. We assess our model against existing experimental observations about effect-based motor representations, and make some novel experimental predictions. We also consider the possibility that the "causative actions" circuit in our model can be identified with a motor pathway reported in other work, specializing in "functional" actions on manipulable tools (Bub et al., 2008; Binkofski and Buxbaum, 2013).
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ERIC Educational Resources Information Center
Keskin, Nilgun Ozdamar; Kuzu, Abdullah
2015-01-01
In the present study, a mobile learning system for the professional development of academics was developed by design based action research, and the perceptions and experiences of the academics using this system were examined. In the first phase of this design-based action research, the research question was defined. In the second phase, a…
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Modeling Healthy Behavior: Actions and Attitudes in Schools.
ERIC Educational Resources Information Center
Berryman, Judy C.; Breighner, Kathryn W.
This book notes that much of what children and adolescents know about life they learn from watching adult role models: teachers, parents, coaches, and clergy members. It was written to help adults examine their health-related beliefs and actions and evaluate how they model these beliefs and actions, consciously and unconsciously, to children. The…
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ERIC Educational Resources Information Center
Svalgaard, Lotte
2017-01-01
In Action Learning programmes, it is held central to work on real business challenges (task) while learning about team and self (process); staying mindful aware of the process is referred to in this paper as "double awareness", and emphasises noticing and acting on process cues while working on the task. As business challenges within…
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ERIC Educational Resources Information Center
Milano, Chloe; Lawless, Aileen; Eades, Elaine
2015-01-01
This account explores the role of action learning during and after an educational programme. We focus on the final stage of a master's programme and the insider research that is a key feature in many UK universities. Researching within one's own organization should lead to individual and organizational learning. However, there is relatively little…
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ERIC Educational Resources Information Center
Rowell, Lonnie L.; Polush, Elena Yu; Riel, Margaret; Bruewer, Aaron
2015-01-01
The purpose of this study was to identify distinguishing characteristics of action research within the Action Research Special Interest Group of the American Educational Research Association. The authors sought to delineate the foundational framework endorsed by this community. The study was conducted during January-April 2012 and employed an…
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ERIC Educational Resources Information Center
Steck, Laura West; Engler, Jennifer N.; Ligon, Mary; Druen, Perri B.; Cosgrove, Erin
2011-01-01
This article discusses an application of the Lewinian/Kolb experiential learning model in the context of undergraduate participation in the Missouri Community Action Poverty Simulation (CAPS) program. CAPS is designed to simulate common, everyday experiences among people living in poverty as participants take on the roles of family members working…
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Do good actions inspire good actions in others?
Capraro, Valerio; Marcelletti, Alessandra
2014-12-12
Actions such as sharing food and cooperating to reach a common goal have played a fundamental role in the evolution of human societies. Despite the importance of such good actions, little is known about if and how they can spread from person to person to person. For instance, does being recipient of an altruistic act increase your probability of being cooperative with a third party? We have conducted an experiment on Amazon Mechanical Turk to test this mechanism using economic games. We have measured willingness to be cooperative through a standard Prisoner's dilemma and willingness to act altruistically using a binary Dictator game. In the baseline treatments, the endowments needed to play were given by the experimenters, as usual; in the control treatments, they came from a good action made by someone else. Across four different comparisons and a total of 572 subjects, we have never found a significant increase of cooperation or altruism when the endowment came from a good action. We conclude that good actions do not necessarily inspire good actions in others. While this is consistent with the theoretical prediction, it challenges the majority of other experimental studies.
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ERIC Educational Resources Information Center
Brook, Cheryl; Milner, Christopher
2014-01-01
This account reports on some experiences of facilitating action learning with international business students. Interest in international student learning and the international student experience is significant and increasing with a considerable range of literature on the subject. Some of this literature is concerned with the perceived…
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ERIC Educational Resources Information Center
Traeger, James; Norgate, Carolyn
2015-01-01
This is an account of practice. It explores the meeting point between action learning and action research, as a way of doing capacity building in organisational development (OD) in the NHS in the UK. The authors were part of a short cooperative inquiry (Heron, J. 1996. "Co-operative Inquiry: Research into the Human Condition." London:…
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Two-step adaptive management for choosing between two management actions
Moore, Alana L.; Walker, Leila; Runge, Michael C.; McDonald-Madden, Eve; McCarthy, Michael A
2017-01-01
Adaptive management is widely advocated to improve environmental management. Derivations of optimal strategies for adaptive management, however, tend to be case specific and time consuming. In contrast, managers might seek relatively simple guidance, such as insight into when a new potential management action should be considered, and how much effort should be expended on trialing such an action. We constructed a two-time-step scenario where a manager is choosing between two possible management actions. The manager has a total budget that can be split between a learning phase and an implementation phase. We use this scenario to investigate when and how much a manager should invest in learning about the management actions available. The optimal investment in learning can be understood intuitively by accounting for the expected value of sample information, the benefits that accrue during learning, the direct costs of learning, and the opportunity costs of learning. We find that the optimal proportion of the budget to spend on learning is characterized by several critical thresholds that mark a jump from spending a large proportion of the budget on learning to spending nothing. For example, as sampling variance increases, it is optimal to spend a larger proportion of the budget on learning, up to a point: if the sampling variance passes a critical threshold, it is no longer beneficial to invest in learning. Similar thresholds are observed as a function of the total budget and the difference in the expected performance of the two actions. We illustrate how this model can be applied using a case study of choosing between alternative rearing diets for hihi, an endangered New Zealand passerine. Although the model presented is a simplified scenario, we believe it is relevant to many management situations. Managers often have relatively short time horizons for management, and might be reluctant to consider further investment in learning and monitoring beyond collecting data
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Two-step adaptive management for choosing between two management actions.
Moore, Alana L; Walker, Leila; Runge, Michael C; McDonald-Madden, Eve; McCarthy, Michael A
2017-06-01
Adaptive management is widely advocated to improve environmental management. Derivations of optimal strategies for adaptive management, however, tend to be case specific and time consuming. In contrast, managers might seek relatively simple guidance, such as insight into when a new potential management action should be considered, and how much effort should be expended on trialing such an action. We constructed a two-time-step scenario where a manager is choosing between two possible management actions. The manager has a total budget that can be split between a learning phase and an implementation phase. We use this scenario to investigate when and how much a manager should invest in learning about the management actions available. The optimal investment in learning can be understood intuitively by accounting for the expected value of sample information, the benefits that accrue during learning, the direct costs of learning, and the opportunity costs of learning. We find that the optimal proportion of the budget to spend on learning is characterized by several critical thresholds that mark a jump from spending a large proportion of the budget on learning to spending nothing. For example, as sampling variance increases, it is optimal to spend a larger proportion of the budget on learning, up to a point: if the sampling variance passes a critical threshold, it is no longer beneficial to invest in learning. Similar thresholds are observed as a function of the total budget and the difference in the expected performance of the two actions. We illustrate how this model can be applied using a case study of choosing between alternative rearing diets for hihi, an endangered New Zealand passerine. Although the model presented is a simplified scenario, we believe it is relevant to many management situations. Managers often have relatively short time horizons for management, and might be reluctant to consider further investment in learning and monitoring beyond collecting data
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Quality in Action: Closing the Loop
ERIC Educational Resources Information Center
Nair, Chenicheri Sid; Pawley, David; Mertova, Patricie
2010-01-01
Purpose: This paper aims to report on how an Administrative Division at a research-intensive Australian university utilised feedback data from the Learning and Growth Survey, to initiate changes. Design/methodology/approach: This paper refers to the actions taken by the Administrative Division to the results obtained from the Learning and Growth…
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Professional Learning with Action Research in Innovative Middle Schools
ERIC Educational Resources Information Center
Netcoh, Steven; Olofson, Mark W.; Downes, John M.; Bishop, Penny A.
2017-01-01
This article illustrates how action research can be used as a model for professional development with middle grades educators in rapidly changing and technology-intensive schools. Drawing upon ten years of using this model, the authors present three examples of educator action research to highlight five characteristics of effective projects: (1)…
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Science Partnerships Contact Us Climate Action Team & Climate Action Initiative The Climate Action . See CAT reports Climate Action Team Pages CAT Home Members Working Groups Reports Back to Top
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NASA Astrophysics Data System (ADS)
Tay, Su Lynn; Yeo, Jennifer
2018-01-01
Great teaching is characterised by the specific actions a teacher takes in the classroom to bring about learning. In the context of model-based teaching (MBT), teachers' difficulty in working with students' models that are not scientifically consistent is troubling. To address this problem, the aim of this study is to identify the pedagogical micro-actions to support the development of scientific models and modelling skills during the evaluation and modification stages of MBT. Taking the perspective of pedagogical content knowing (PCKg), it identifies these micro-actions as an in-situ, dynamic transformation of knowledges of content, pedagogy, student and environment context. Through a case study approach, a lesson conducted by an experienced high-school physics teacher was examined. Audio and video recordings of the lesson contributed to the data sources. Taking a grounded approach in the analysis, eight pedagogical micro-actions enacted by the teacher were identified, namely 'clarification', 'evaluation', 'explanation', 'modification', 'exploration', 'referencing conventions', 'focusing' and 'meta-representing'. These micro-actions support students' learning related to the conceptual, cognitive, discursive and epistemological aspects of modelling. From the micro-actions, we identify the aspects of knowledges of PCKg that teachers need in order to competently select and enact these micro-actions. The in-situ and dynamic transformation of these knowledges implies that professional development should also be situated in the context in which these micro-actions are meaningful.
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Embodied Learning and Creative Writing: An Action Research Study
ERIC Educational Resources Information Center
Tobin, Jennifer Ann
2012-01-01
This action research study used narrative analysis to explore the role of the body in the writing process of creative writers. Specifically, the purpose of this action research study was threefold: it was first to examine how professional creative writers describe their writing process with particular attention to their perceptions of the role and…
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ERIC Educational Resources Information Center
Brook, Cheryl; Christy, Gill
2013-01-01
The question addressed in this paper is whether action learning as a management development technique can be more effective in promoting ethical decision-making than more traditional approaches. Recent examples of moral failures which have emerged in both corporate and public sector organisations in the UK during recent years have prompted a…
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ERIC Educational Resources Information Center
Mintz, Chelsey A.
2017-01-01
The purpose of this action research study was to examine the effects of implementing an online professional learning community (PLC) designed explicitly for teachers of gifted and talented (GT) English language arts (ELA) courses. The present action research (AR) is a limited mixed design study, including quantitative and qualitative elements, to…
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Professionalizing action research--a meaningful strategy for modernizing services?
Hall, Julie E
2006-04-01
This paper outlines how a specific action research approach can be used to secure practice development in services which have found sustained change difficult. For the purpose of this paper discussion focuses upon using professionalizing action research (a form of action research) to secure transformation in acute inpatient mental health services. This speciality has experienced long-term difficultly in meaningful practice change. Not limited to this context parallels can be made with other health and social care services requiring significant modernization. The aim is to critically discuss the use of professionalizing action research as an approach to sustainable change. clarifies whether this method is a suitable vehicle for change, which is ideally suited to services which have a poor record of practice development. A review of action research and practice development literature forms the basis of this paper. The literature is sourced through bulletin boards, electronic databases and the British Library Classification Scheme. Keywords searched are action research, team learning, managing change and practice development. Following definition; the components of professionalizing action research are analysed using the themes of educative base, problem focus, improvement and involvement. The educative base of professionalizing action research is collaborative reflective practice which is used to initiate meaningful change, rooted in everyday practice. The benefit of this is that change actions are based in real-time situations. The problem focus component of professionalizing action research is used to emphasize the views of service users and carers. This is positive in terms of the patient and public involvement agenda although this theme does emphasize limitations of the approach. The final components are involvement and improvement, these are debated as pluralistic notions and the implications of this are acknowledged. Reviewing the literature and theoretical
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Voss, Joel L; Galvan, Ashley; Gonsalves, Brian D
2011-12-01
Memory retrieval can involve activity in the same sensory cortical regions involved in perception of the original event, and this neural "reactivation" has been suggested as an important mechanism of memory retrieval. However, it is still unclear if fragments of experience other than sensory information are retained and later reactivated during retrieval. For example, learning in non-laboratory settings generally involves active exploration of memoranda, thus requiring the generation of action plans for behavior and the use of strategies deployed to improve subsequent memory performance. Is information pertaining to action planning and strategic processing retained and reactivated during retrieval? To address this question, we compared ERP correlates of memory retrieval for objects that had been studied in an active manner involving action planning and strategic processing to those for objects that had been studied passively. Memory performance was superior for actively studied objects, and unique ERP retrieval correlates for these objects were identified when subjects remembered the specific spatial locations at which objects were studied. Early-onset frontal shifts in ERP correlates of retrieval were noted for these objects, which parallel the recruitment of frontal cortex during learning object locations previously identified using fMRI with the same paradigm. Notably, ERPs during recall for items studied with a specific viewing strategy localized to the same supplementary motor cortex region previously identified with fMRI when this strategy was implemented during study, suggesting rapid reactivation of regions directly involved in strategic action planning. Collectively, these results implicate neural populations involved in learning in important retrieval functions, even for those populations involved in strategic control and action planning. Notably, these episodic features are not generally reported during recollective experiences, suggesting that
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Learning Human Actions by Combining Global Dynamics and Local Appearance.
Luo, Guan; Yang, Shuang; Tian, Guodong; Yuan, Chunfeng; Hu, Weiming; Maybank, Stephen J
2014-12-01
In this paper, we address the problem of human action recognition through combining global temporal dynamics and local visual spatio-temporal appearance features. For this purpose, in the global temporal dimension, we propose to model the motion dynamics with robust linear dynamical systems (LDSs) and use the model parameters as motion descriptors. Since LDSs live in a non-Euclidean space and the descriptors are in non-vector form, we propose a shift invariant subspace angles based distance to measure the similarity between LDSs. In the local visual dimension, we construct curved spatio-temporal cuboids along the trajectories of densely sampled feature points and describe them using histograms of oriented gradients (HOG). The distance between motion sequences is computed with the Chi-Squared histogram distance in the bag-of-words framework. Finally we perform classification using the maximum margin distance learning method by combining the global dynamic distances and the local visual distances. We evaluate our approach for action recognition on five short clips data sets, namely Weizmann, KTH, UCF sports, Hollywood2 and UCF50, as well as three long continuous data sets, namely VIRAT, ADL and CRIM13. We show competitive results as compared with current state-of-the-art methods.
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Deep learning based beat event detection in action movie franchises
NASA Astrophysics Data System (ADS)
Ejaz, N.; Khan, U. A.; Martínez-del-Amor, M. A.; Sparenberg, H.
2018-04-01
Automatic understanding and interpretation of movies can be used in a variety of ways to semantically manage the massive volumes of movies data. "Action Movie Franchises" dataset is a collection of twenty Hollywood action movies from five famous franchises with ground truth annotations at shot and beat level of each movie. In this dataset, the annotations are provided for eleven semantic beat categories. In this work, we propose a deep learning based method to classify shots and beat-events on this dataset. The training dataset for each of the eleven beat categories is developed and then a Convolution Neural Network is trained. After finding the shot boundaries, key frames are extracted for each shot and then three classification labels are assigned to each key frame. The classification labels for each of the key frames in a particular shot are then used to assign a unique label to each shot. A simple sliding window based method is then used to group adjacent shots having the same label in order to find a particular beat event. The results of beat event classification are presented based on criteria of precision, recall, and F-measure. The results are compared with the existing technique and significant improvements are recorded.
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Learning in Action and Adventure Sports
ERIC Educational Resources Information Center
Ellmer, Eva; Rynne, Steven
2016-01-01
The exponential growth in action and adventure sport (e.g. snowboarding, bicycle motorcross (BMX), surfing, parkour) participation over the past two decades has been showcased in world championship events and the inclusion in Olympic programs. Yet, by virtue of their alternative, escapist and/or adventure-based origins, these sports do not fully…
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DOT National Transportation Integrated Search
2013-03-05
In 2007, the Federal Railroad Administration (FRA) launched : C3RS, the Confidential Close Call Reporting System, as a : demonstration project to learn how to facilitate the effective : reporting and implementation of corrective actions, and assess t...
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Utilising Collaborative Forms of Educational Action Research: Some Reflections
ERIC Educational Resources Information Center
Greenbank, Paul
2007-01-01
This article considers the value of collaborative forms of educational action research in higher education and the difficulties involved in implementing such forms of research. It is argued that educational action research represents an opportunity for improving teaching and learning and developing the knowledge and skills of those participating…
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ERIC Educational Resources Information Center
Boyer, Leanna; Roth, Wolff-Michael
2006-01-01
Around the world, many people concerned with the state of the environment participate in environmental action groups. Much of their learning occurs informally, simply by participating in the everyday, ongoing collective life of the chosen group. Such settings provide unique opportunities for studying how people learn science in complex settings…
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After-Action Reviews - who conducts them?
Anne E. Black; Kathleen Sutcliffe; Michelle Barton
2009-01-01
Reflecting on the links between intentions and outcomes is a key practice of a learning organization (Garvin 2000). The After-Action Review (AAR) is a formal reflection process intended to assist groups in capturing lessons learned from a task. AARs typically ask four questions regarding fire-response operations: (1) what did we set out to do, (2) what actually...
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Impulsive action and motivation.
Frijda, Nico H
2010-07-01
This paper explores the way in which emotions are causal determinants of action. It argues that emotional events, as appraised by the individual, elicit changes in motive states (called states of action readiness), which in turn may (or may not) cause action. Actions can be elicited automatically, without prior intention (called impulsive actions), or intentionally. Impulsive actions reflect the simplest and biologically most general form in which emotions can cause action, since they require no reflection, no foresight, and no planning. Impulsive actions are determined conjointly by the nature of action readiness, the affordances perceived in the eliciting event as appraised, and the individual's action repertoire. Those actions from one's repertoire are performed that both match the perceived affordances and the aim of the state of action readiness. Copyright © 2010 Elsevier B.V. All rights reserved.
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Gesture as Representational Action: A paper about function
Novack, Miriam A.; Goldin-Meadow, Susan
2016-01-01
A great deal of attention has recently been paid to gesture and its effects on thinking and learning. It is well established that the hand movements that accompany speech are an integral part of communication, ubiquitous across cultures, and a unique feature of human behavior. In an attempt to understand this intriguing phenomenon, researchers have focused on pinpointing the mechanisms that underlie gesture production. One proposal—that gesture arises from simulated action (see Hostetter & Alibali, 2008)—has opened up discussions about action, gesture, and the relation between the two. However, there is another side to understanding a phenomenon, and that is to understand its function. A phenomenon’s function is its purpose rather than its precipitating cause—the why rather than the how. This paper sets forth a theoretical framework for exploring why gesture serves the functions that it does, and reviews where the current literature fits, and fails to fit, this proposal. Our framework proposes that whether or not gesture is simulated action in terms of its mechanism—it is clearly not reducible to action in terms of its function. Most notably, because gestures are abstracted representations and are not actions tied to particular events and objects, they can play a powerful role in thinking and learning beyond the particular, specifically, in supporting generalization and transfer of knowledge. PMID:27604493
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NASA Astrophysics Data System (ADS)
Charmatz, Kim
The purpose of this study was to understand student and teacher empowerment through a socially critical environmental education perspective. The main research question guiding this study was: How do participants make sense of a learning experience in which students design and carry out an environmental action project in their community? This study used participatory action research and critical theory as practical and theoretical frameworks. These frameworks were relevant as this study sought to examine social change, power, and relationships through participants' experiences. The context of this study was within one seventh and one eighth grade classroom participating in environmental projects. The study was conducted in spring 2005 with an additional follow-up data collection period during spring 2006. The school was located in a densely populated metropolitan suburb. Fifty-three students, a teacher researcher, and three science teachers participated. Data sources were written surveys, scores on Middle School Environmental Literacy Survey Instrument (MSELI), observations, interviews, and student work. This study used a mixed methodological approach. Quantitative data analysis involved dependent samples t-test scores on the MSELI before and after the completion of the projects. Qualitative data were analyzed using an inductive analysis approach. This study has implications for educators interested in democratic education. Environmental action projects provide a context for students and teachers to learn interdisciplinary content knowledge, develop personal beliefs, and learn ways to take action in their communities. This pedagogy has the potential to increase cooperation, communication, and tensions within school communities. Students' participation in the development of environmental action projects may lead to feelings of empowerment or being able to make a difference in their community, as an individual or member of a group. Future research is needed to discern
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Oh, Hyuk; Gentili, Rodolphe J; Reggia, James A; Contreras-Vidal, José L
2011-01-01
It has been suggested that the human mirror neuron system can facilitate learning by imitation through coupling of observation and action execution. During imitation of observed actions, the functional relationship between and within the inferior frontal cortex, the posterior parietal cortex, and the superior temporal sulcus can be modeled within the internal model framework. The proposed biologically plausible mirror neuron system model extends currently available models by explicitly modeling the intraparietal sulcus and the superior parietal lobule in implementing the function of a frame of reference transformation during imitation. Moreover, the model posits the ventral premotor cortex as performing an inverse computation. The simulations reveal that: i) the transformation system can learn and represent the changes in extrinsic to intrinsic coordinates when an imitator observes a demonstrator; ii) the inverse model of the imitator's frontal mirror neuron system can be trained to provide the motor plans for the imitated actions.
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Phenomenography: Implications for Expanding the Educational Action Research Lens
ERIC Educational Resources Information Center
Beaulieu, Rodney
2017-01-01
Action research is a growing tradition for improving teachers' practice and students' learning outcomes, and it draws from a variety of methods for collecting and analysing data. In this article, phenomenography is proposed as an innovative approach for enhancing action research. With an emphasis on mapping variations on students' experience,…
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Exploring the Experiences of Faculty-Led Teams in Conducting Action Research
ERIC Educational Resources Information Center
Zhang, Qi; Amundsen, Cheryl
2015-01-01
Action research has been suggested as a useful way to support university faculty to improve teaching and learning. However, there seems to be little knowledge about how faculty (and those who work with them) experience the process of doing action research. In order to explore team members' in-depth experience about what they learned and how they…
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An action research study of secondary science assessment praxes
NASA Astrophysics Data System (ADS)
Ryan, Thomas Gerald
This practical participatory action research study illuminates the assessment praxes of four Ontario secondary level science teachers at one school using a facilitative approach. Participants were joined by a thematic concern, that is, a commitment to inform and improve assessment. Hence, two distinct sets of research questions emerged. The first involves the nature of assessment as we asked, what was the current state of assessment practice in secondary science? What were participants' initial understandings of assessment and actual practices at the onset of this research? To what extent did these initial understandings and actual practices change due to the illumination of assessment praxes through action research involvement? What was their level of awareness of current Ontario government pronouncements and in what ways did they implement this knowledge? The second theme, concerning the nature of action research, was realised by asking what did participants learn about action research? What other learning and professional gains were realised during this study? And, what did I learn about action research and assessment through my involvement in this study? Data were collected via supportive discussion groups, individual interviews, classroom visitations, journals and documentation. This professional development experience facilitated 'interactive professionalism' as teachers worked in a small group and interacted frequently in the course of planning, testing new ideas, attempting to solve different problems, and assess the effectiveness of those ideas. In addition, this action research effort was strategic and systematic, to attain a high degree of specific interactions, (personal interviews, group meetings, classroom observations, evidence collection). This series of deliberate and planned intentions helped participants solve assessment dilemmas. We developed an awareness and understanding of the need for more preservice and inservice assessment training
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ERIC Educational Resources Information Center
Sappington, Neil; Baker, Paul J.; Gardner, Dianne; Pacha, Joe
2010-01-01
This study proposes participatory action research as a signature pedagogy for principal preparation programs. Signature pedagogies bring professional knowledge and core values together in distinctive teaching and learning arrangements. A rationale and learning results are presented that describe key components of action research intended to help…
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38 CFR 18.406 - Remedial action, voluntary action and self-evaluation.
Code of Federal Regulations, 2014 CFR
2014-07-01
..., voluntary action and self-evaluation. 18.406 Section 18.406 Pensions, Bonuses, and Veterans' Relief... Basis of Handicap General Provisions § 18.406 Remedial action, voluntary action and self-evaluation. (a... treatment within the program or activity. (b) Voluntary action. A recipient may take steps, in addition to...
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38 CFR 18.406 - Remedial action, voluntary action and self-evaluation.
Code of Federal Regulations, 2011 CFR
2011-07-01
..., voluntary action and self-evaluation. 18.406 Section 18.406 Pensions, Bonuses, and Veterans' Relief... Basis of Handicap General Provisions § 18.406 Remedial action, voluntary action and self-evaluation. (a... treatment within the program or activity. (b) Voluntary action. A recipient may take steps, in addition to...
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38 CFR 18.406 - Remedial action, voluntary action and self-evaluation.
Code of Federal Regulations, 2013 CFR
2013-07-01
..., voluntary action and self-evaluation. 18.406 Section 18.406 Pensions, Bonuses, and Veterans' Relief... Basis of Handicap General Provisions § 18.406 Remedial action, voluntary action and self-evaluation. (a... treatment within the program or activity. (b) Voluntary action. A recipient may take steps, in addition to...
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38 CFR 18.406 - Remedial action, voluntary action and self-evaluation.
Code of Federal Regulations, 2012 CFR
2012-07-01
..., voluntary action and self-evaluation. 18.406 Section 18.406 Pensions, Bonuses, and Veterans' Relief... Basis of Handicap General Provisions § 18.406 Remedial action, voluntary action and self-evaluation. (a... treatment within the program or activity. (b) Voluntary action. A recipient may take steps, in addition to...
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Goal Reconstruction: How Teton Blends Situated Action and Planned Action
1989-11-03
DTIC FILE COPY CV), Goal reconstruction: How Teton blends N situated action and planned action N Tec~jcal Report PCG- 16 Kurt VanLehn I William Bali...situated action and planned action Technical Report PCG- 16 Kurt VanLehn William Bail Departments of Psychology and Computer Science Carnegie-Mellon...Research, under contract N00014-88-K-0086 and by the Information Sciences Division, Office of Naval Research, under contract N00014-K-0678
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Goal Reconstruction: How Teton Blends Situated Action and Planned Action
1989-11-03
DTIC FILE COPy 00 P 1n GOAL RECONSTRUCTION: HOW TETON BLENDS N SITUATED ACTION AND PLANNED ACTION Technical Report AIP 125 Kurt VanLehn William Ball...distribiikn unlimited. so 08 21 2 GOAL RECONSTRUCTION: HOW TETON BLENDS SITUATED ACTION AND PLANNED ACTION Technical Report AlP 125 Kurt VanLehn William Ball...Architectures for Intelligence. This is the final report on the research supported by the Computer Science Division, Office of Naval Research, under
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Nishimoto, Ryu; Tani, Jun
2004-09-01
This study shows how sensory-action sequences of imitating finite state machines (FSMs) can be learned by utilizing the deterministic dynamics of recurrent neural networks (RNNs). Our experiments indicated that each possible combinatorial sequence can be recalled by specifying its respective initial state value and also that fractal structures appear in this initial state mapping after the learning converges. We also observed that the sequences of mimicking FSMs are encoded utilizing the transient regions rather than the invariant sets of the evolved dynamical systems of the RNNs.
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ERIC Educational Resources Information Center
Kamath, Shyam; Agrawal, Jagdish; Krickx, Guido
2008-01-01
This paper discusses the theoretical foundations and implementation challenges and outcomes of a unique "hands-on" global consulting program that is integrated into an international EMBA program for mid-career and senior American and European managers. It details the challenges for the integration of experiential action learning, double-loop…
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Extending experiences of voluntary action by association
Khalighinejad, Nima; Haggard, Patrick
2016-01-01
“Sense of agency” refers to the experience that links one’s voluntary actions to their external outcomes. It remains unclear whether this ubiquitous experience is hardwired, arising from specific signals within the brain’s motor systems, or rather depends on associative learning, through repeated cooccurrence of voluntary movements and their outcomes. To distinguish these two models, we asked participants to trigger a tone by a voluntary keypress action. The voluntary action was always associated with an involuntary movement of the other hand. We then tested whether the combination of the involuntary movement and tone alone might now suffice to produce a sense of agency, even when the voluntary action was omitted. Sense of agency was measured using an implicit marker based on time perception, namely a shift in the perceived time of the outcome toward the action that caused it. Across two experiments, repeatedly pairing an involuntary movement with a voluntary action induced key temporal features of agency, with the outcome now perceived as shifted toward the involuntary movement. This shift required involuntary movements to have been previously associated with voluntary actions. We show that some key aspects of agency may be transferred from voluntary actions to involuntary movements. An internal volitional signal is required for the primary acquisition of agency but, with repeated association, the involuntary movement in itself comes to produce some key temporal features of agency over the subsequent outcome. This finding may explain how humans can develop an enduring sense of agency in nonnatural cases, like brain–machine interfaces. PMID:27436902
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Inferences about action engage action systems.
Taylor, Lawrence J; Lev-Ari, Shiri; Zwaan, Rolf A
2008-10-01
Verbal descriptions of actions activate compatible motor responses [Glenberg, A. M., & Kaschak, M. P. (2002). Grounding language in action. Psychonomic Bulletin & Review, 9, 558-565]. Previous studies have found that the motor processes for manual rotation are engaged in a direction-specific manner when a verb disambiguates the direction of rotation [e.g. "unscrewed;" Zwaan, R. A., & Taylor, L. (2006). Seeing, acting, understanding: Motor resonance in language comprehension. Journal of Experimental Psychology: General, 135, 1-11]. The present experiment contributes to this body of work by showing that verbs that leave direction ambiguous (e.g. "turned") do not necessarily yield such effects. Rather, motor resonance is associated with a word that disambiguates some element of an action, as meaning is being integrated across sentences. The findings are discussed within the context of discourse processes, inference generation, motor activation, and mental simulation.
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ACE Action Fellowship Bridges Climate Education into Action for Young People
NASA Astrophysics Data System (ADS)
Anderson, R. K.
2016-12-01
Alliance for Climate Education educates young people on the science of climate change and empowers them to take action. Since 2009, ACE has educated over two million students and trained more than 4,000 young leaders. The ACE Action Fellowship is a yearlong training program that gives young people the knowledge, skills and confidence to be strong climate leaders. Here, we present the results of the first year of evaluation of the Fellowship program in the 2014-15 school year. Sixty high school students completed matched surveys before and after completing the program. Students were evaluated on skills learned, actions taken, confidence gained, civic engagement, and plans to continue action on climate in the future. Results show that the Fellowship increases young people's confidence: 52% of Fellows report an increase in confidence in leading a group of peers on a climate-related campaign. Fellows also gained leadership skills. More than half of Fellows say they improved in the areas of recruitment, interpersonal communication skills, campaign planning, and public speaking. 50% of Fellows reported an increase in their likelihood of seeking elected office when of age. The Fellowship positively influences young people's intent to study a climate, energy or sustainability-related field. 63% of Fellows identify as people of color. Notably, despite entering the Fellowship with significantly lower self-ratings than white students in experience and skill sets, young people of color reported greater improvement in the areas of public speaking (25% improvement vs. 6% improvement) and petitioning (27% improvement vs. 1% improvement). These results show that the ACE Fellowship gives young people tangible skills and confidence that puts them on a path of climate leadership. Further evaluation will be done to expand the dataset, but early indications show that these young people are poised to make valuable contributions and bring a much needed diverse youth perspective to the
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ERIC Educational Resources Information Center
Adult Learning, 2012
2012-01-01
This article presents the Belem Framework for Action. This framework focuses on harnessing the power and potential of adult learning and education for a viable future. This framework begins with a preamble on adult education and towards lifelong learning.
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7 CFR 12.11 - Action based upon advice or action of USDA.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 7 Agriculture 1 2014-01-01 2014-01-01 false Action based upon advice or action of USDA. 12.11... CONSERVATION General Provisions § 12.11 Action based upon advice or action of USDA. The provisions of part 718... it is determined by the appropriate USDA agency that the action of a person which would form the...
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7 CFR 12.11 - Action based upon advice or action of USDA.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 7 Agriculture 1 2011-01-01 2011-01-01 false Action based upon advice or action of USDA. 12.11... CONSERVATION General Provisions § 12.11 Action based upon advice or action of USDA. The provisions of part 718... it is determined by the appropriate USDA agency that the action of a person which would form the...
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7 CFR 12.11 - Action based upon advice or action of USDA.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 7 Agriculture 1 2012-01-01 2012-01-01 false Action based upon advice or action of USDA. 12.11... CONSERVATION General Provisions § 12.11 Action based upon advice or action of USDA. The provisions of part 718... it is determined by the appropriate USDA agency that the action of a person which would form the...
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7 CFR 12.11 - Action based upon advice or action of USDA.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 7 Agriculture 1 2010-01-01 2010-01-01 false Action based upon advice or action of USDA. 12.11... CONSERVATION General Provisions § 12.11 Action based upon advice or action of USDA. The provisions of part 718... it is determined by the appropriate USDA agency that the action of a person which would form the...
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7 CFR 12.11 - Action based upon advice or action of USDA.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 7 Agriculture 1 2013-01-01 2013-01-01 false Action based upon advice or action of USDA. 12.11... CONSERVATION General Provisions § 12.11 Action based upon advice or action of USDA. The provisions of part 718... it is determined by the appropriate USDA agency that the action of a person which would form the...
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A Mirror in Which to Practice--Using Action Learning to Change End-of-Life Care
ERIC Educational Resources Information Center
Winterburn, Kathryn; Hicks, Fiona
2012-01-01
While action learning is a familiar tenet of much management and leadership development activity within the NHS it is not commonly utilised within the education and development of doctors where didactic methods remain the preferred mechanism to impart factual knowledge necessary to fulfil the autonomous practitioner role. Within the specialism of…
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ERIC Educational Resources Information Center
Rae, David
2009-01-01
The Student Placements for Entrepreneurs in Education (SPEED) project ran in 12 higher education institutes in the UK between 2006 and 2008, providing an innovative, action learning-based route that enabled students to start new business ventures as self-started work experience, and has influenced successor programmes. The paper addresses three…
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Action Research: An Early History in the United States.
ERIC Educational Resources Information Center
Foshay, Arthur W.
1994-01-01
There is little residue from the cooperative action research movement of the 1940s and 1950s. So far, teachers have found educational research applications of little use. Action research must originate in the classroom. Researchers are advised to keep it simple, become an effective classroom consultant, learn how teachers think, and be modest in…
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Ikegami, Tsuyoshi; Ganesh, Gowrishankar
2014-01-01
Our social skills are critically determined by our ability to understand and appropriately respond to actions performed by others. However despite its obvious importance, the mechanisms enabling action understanding in humans have remained largely unclear. A popular but controversial belief is that parts of the motor system contribute to our ability to understand observed actions. Here, using a novel behavioral paradigm, we investigated this belief by examining a causal relation between action production, and a component of action understanding - outcome prediction, the ability of a person to predict the outcome of observed actions. We asked dart experts to watch novice dart throwers and predict the outcome of their throws. We modulated the feedbacks provided to them, caused a specific improvement in the expert's ability to predict watched actions while controlling the other experimental factors, and exhibited that a change (improvement) in their outcome prediction ability results in a progressive and proportional deterioration in the expert's own darts performance. This causal relationship supports involvement of the motor system in outcome prediction by humans of actions observed in others. PMID:25384755
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The effect of animation on learning action symbols by individuals with intellectual disabilities.
Fujisawa, Kazuko; Inoue, Tomoyoshi; Yamana, Yuko; Hayashi, Humirhiro
2011-03-01
The purpose of the present study was to investigate whether participants with intellectual impairments could benefit from the movement associated with animated pictures while they were learning symbol names. Sixteen school students, whose linguistic-developmental age ranged from 38?91 months, participated in the experiment. They were taught 16 static visual symbols and the corresponding action words (naming task) in two sessions conducted one week apart. In the experimental condition, animation was employed to facilitate comprehension, whereas no animation was used in the control condition. Enhancement of learning was shown in the experimental condition, suggesting that the participants benefited from animated symbols. Furthermore, it was found that the lower the linguistic developmental age, the more effective the animated cue was in learning static visual symbols.
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On the Inclusion of Externally Controlled Actions in Action Planning
ERIC Educational Resources Information Center
Tsai, Jessica Chia-Chin; Knoblich, Gunther; Sebanz, Natalie
2011-01-01
According to ideomotor theories, perceiving action effects produced by others triggers corresponding action representations in the observer. We tested whether this principle extends to actions performed by externally controlled limbs and tools. Participants performed a go-no-go version of a spatial compatibility task in which their own actions…
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End or Means--The "What" and "How" of Observed Intentional Actions
ERIC Educational Resources Information Center
Hesse, Maike D.; Sparing, Roland; Fink, Gereon R.
2009-01-01
Action understanding and learning are suggested to be mediated, at least in part, by the human mirror neuron system (hMNS). Static images as well as videos of actions with the outcome occluded have been shown to activate the hMNS. However, whether the hMNS preferentially responds to "end" or "means" of an action remains to be investigated. We,…
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Non-obvious influences on perception-action abilities.
Turvey, Michael T; Sheya, Adam
2017-10-01
The sciences of development and learning have been slow to acknowledge that absence of an identifiable experience that relates straightforwardly to a given perception-action ability need not mean that experience per se is irrelevant to the emergence of that ability. A recent study reveals that a difference in diet (plain vs. energy rich) leads to a difference in how rats navigate (use of geometry vs. use of features, respectively). It is a good example of how a seemingly unrelated experience (e.g., what the rats eat) can be a non-obvious yet crucial determiner of perception-action modes. We situate this finding in the broader context of the related conceptions of Schneirla's and Lehrman's Developmental Systems Theory, Gottlieb's Probabilistic Epigenesis, and Bolles's Structure of Learning (see article for references). In doing so we highlight that such phenomena may be the norm, both in development and learning, rather than the exception.
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... the doctor if you have any questions. Your child should learn about the plan too, and older kids should know which steps they can take themselves and when they should get help. What Else Should I Know? The action plan should go everywhere your child goes. Keep a copy at home in a ...
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Urban Youth, Fear of Crime, and Resulting Defensive Actions.
ERIC Educational Resources Information Center
Williams, J. Sherwood; And Others
1994-01-01
Used data from 1,775 urban youth collected in 1986 to examine fear of crime and defensive actions taken by youth. Results revealed that only 11% reported having taken no defensive actions as result of fear of crime. Nearly three-fifths took precaution of having escort at night. Learning self-defense techniques was reported by 19%; 10% indicated…
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Language, Thinking and Action: Towards a Semio-Constructivist Approach in Physical Education
ERIC Educational Resources Information Center
Wallian, Nathalie; Chang, Ching-Wei
2007-01-01
Background: Research about sport pedagogy has recently emerged as a significant interest in student reflective practice within the PE teaching/learning system. This learning process is considered as a type of knowledge of co-construction in action. This epistemological assumption postulates that the "knowledge-in-action" is the result of an active…
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ERIC Educational Resources Information Center
Banegas, Dario; Pavese, Anahi; Velazquez, Aurelia; Velez, Sandra Maria
2013-01-01
In 2011 we, a group of English-as-a-foreign-language teachers at a secondary school in Argentina, decided to investigate our teaching practices through collaborative action research so as to improve our students' learning opportunities and thus revitalise English-language teaching in our context. We implemented and evaluated the integration of…
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Exemplar-based human action pose correction.
Shen, Wei; Deng, Ke; Bai, Xiang; Leyvand, Tommer; Guo, Baining; Tu, Zhuowen
2014-07-01
The launch of Xbox Kinect has built a very successful computer vision product and made a big impact on the gaming industry. This sheds lights onto a wide variety of potential applications related to action recognition. The accurate estimation of human poses from the depth image is universally a critical step. However, existing pose estimation systems exhibit failures when facing severe occlusion. In this paper, we propose an exemplar-based method to learn to correct the initially estimated poses. We learn an inhomogeneous systematic bias by leveraging the exemplar information within a specific human action domain. Furthermore, as an extension, we learn a conditional model by incorporation of pose tags to further increase the accuracy of pose correction. In the experiments, significant improvements on both joint-based skeleton correction and tag prediction are observed over the contemporary approaches, including what is delivered by the current Kinect system. Our experiments for the facial landmark correction also illustrate that our algorithm can improve the accuracy of other detection/estimation systems.
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Habits as action sequences: hierarchical action control and changes in outcome value
Dezfouli, Amir; Lingawi, Nura W.; Balleine, Bernard W.
2014-01-01
Goal-directed action involves making high-level choices that are implemented using previously acquired action sequences to attain desired goals. Such a hierarchical schema is necessary for goal-directed actions to be scalable to real-life situations, but results in decision-making that is less flexible than when action sequences are unfolded and the decision-maker deliberates step-by-step over the outcome of each individual action. In particular, from this perspective, the offline revaluation of any outcomes that fall within action sequence boundaries will be invisible to the high-level planner resulting in decisions that are insensitive to such changes. Here, within the context of a two-stage decision-making task, we demonstrate that this property can explain the emergence of habits. Next, we show how this hierarchical account explains the insensitivity of over-trained actions to changes in outcome value. Finally, we provide new data that show that, under extended extinction conditions, habitual behaviour can revert to goal-directed control, presumably as a consequence of decomposing action sequences into single actions. This hierarchical view suggests that the development of action sequences and the insensitivity of actions to changes in outcome value are essentially two sides of the same coin, explaining why these two aspects of automatic behaviour involve a shared neural structure. PMID:25267824
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From conscious thought to automatic action: A simulation account of action planning.
Martiny-Huenger, Torsten; Martiny, Sarah E; Parks-Stamm, Elizabeth J; Pfeiffer, Elisa; Gollwitzer, Peter M
2017-10-01
We provide a theoretical framework and empirical evidence for how verbally planning an action creates direct perception-action links and behavioral automaticity. We argue that planning actions in an if (situation)-then (action) format induces sensorimotor simulations (i.e., activity patterns reenacting the event in the sensory and motor brain areas) of the anticipated situation and the intended action. Due to their temporal overlap, these activity patterns become linked. Whenever the previously simulated situation is encountered, the previously simulated action is partially reactivated through spreading activation and thus more likely to be executed. In 4 experiments (N = 363), we investigated the relation between specific if-then action plans worded to activate simulations of elbow flexion versus extension movements and actual elbow flexion versus extension movements in a subsequent, ostensibly unrelated categorization task. As expected, linking a critical stimulus to intended actions that implied elbow flexion movements (e.g., grabbing it for consumption) subsequently facilitated elbow flexion movements upon encountering the critical stimulus. However, linking a critical stimulus to actions that implied elbow extension movements (e.g., pointing at it) subsequently facilitated elbow extension movements upon encountering the critical stimulus. Thus, minor differences (i.e., exchanging the words "point at" with "grab") in verbally formulated action plans (i.e., conscious thought) had systematic consequences on subsequent actions. The question of how conscious thought can induce stimulus-triggered action is illuminated by the provided theoretical framework and the respective empirical evidence, facilitating the understanding of behavioral automaticity and human agency. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
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Gaining a Competitive Edge through Action Design Research
NASA Astrophysics Data System (ADS)
Alexa, L.; Alexa, M.; Avasilcăi, S.
2016-08-01
The current business environment is characterized by increased competition and highly innovative approach, in order to create products and services to better respond to the costumers’ needs and expectations. In this specific context, the research approaches need to be more flexible and business oriented and so, throughout the paper we have used a research method that combines design research and action research, named Action Design Research which is a research method used for generating prescriptive design knowledge through building and evaluating IT artifacts in an organizational setting [1]. Following the Action Design Research stages and principles: problem identification, building, intervention and evaluation, reflection and learning and formalization of learning, the research team has developed an online instrument used to actively involve the consumer in the product development process, in order to generate a better consumers insight regarding their needs and desires and to design and/or adjust the product accordingly. The customer engagement IT tool created and tested by using Action Design Research, E-PICUS, has been developed within the framework of the research project „E-solutions for innovation through customer pro-active involvement in value creation to increase organisational competitiveness (E-PICUS)”, PN- II-PT-PCCA-2013-4-1811, currently undergoing.
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Science in the Elementary School Classroom: Portraits of Action Research.
ERIC Educational Resources Information Center
McDonald, Jane B., Ed.; Gilmer, Penny J., Ed.
Teacher knowledge and skills are critical elements in the student learning process. Action research serves as an increasingly popular technique to engage teachers in educational change in classrooms. This document focuses on action research reports of elementary school teachers. Chapters include: (1) "First Graders' Beliefs and Perceptions of…
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Change in Action: How Infants Learn to Walk down Slopes
ERIC Educational Resources Information Center
Gill, Simone V.; Adolph, Karen E.; Vereijken, Beatrix
2009-01-01
A critical aspect of perception-action coupling is the ability to modify ongoing actions in accordance with variations in the environment. Infants' ability to modify their gait patterns to walk down shallow and steep slopes was examined at three nested time scales. Across sessions, a microgenetic training design showed rapid improvements after the…
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ERIC Educational Resources Information Center
National Rifle Association, Washington, DC.
Conservation problems are identified, with some suggestions for action. General areas covered are: Wildlife Conservation, Soil Conservation, Clean Water, Air Pollution Action, and Outdoor Recreation Action. Appendices list private organizations or agencies concerned with natural resource use and/or management, congressional committees considering…
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Egocentric Temporal Action Proposals.
Shao Huang; Weiqiang Wang; Shengfeng He; Lau, Rynson W H
2018-02-01
We present an approach to localize generic actions in egocentric videos, called temporal action proposals (TAPs), for accelerating the action recognition step. An egocentric TAP refers to a sequence of frames that may contain a generic action performed by the wearer of a head-mounted camera, e.g., taking a knife, spreading jam, pouring milk, or cutting carrots. Inspired by object proposals, this paper aims at generating a small number of TAPs, thereby replacing the popular sliding window strategy, for localizing all action events in the input video. To this end, we first propose to temporally segment the input video into action atoms, which are the smallest units that may contain an action. We then apply a hierarchical clustering algorithm with several egocentric cues to generate TAPs. Finally, we propose two actionness networks to score the likelihood of each TAP containing an action. The top ranked candidates are returned as output TAPs. Experimental results show that the proposed TAP detection framework performs significantly better than relevant approaches for egocentric action detection.
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Automatic imitation effects are influenced by experience of synchronous action in children.
O'Sullivan, Eoin P; Bijvoet-van den Berg, Simone; Caldwell, Christine A
2018-07-01
By their fourth year of life, children are expert imitators, but it is unclear how this ability develops. One approach suggests that certain types of experience might forge associations between the sensory and motor representations of an action that may facilitate imitation at a later time. Sensorimotor experience of this sort may occur when an infant's action is imitated by a caregiver or when socially synchronous action occurs. This learning approach, therefore, predicts that the strength of sensory-motor associations should depend on the frequency and quality of previous experience. Here, we tested this prediction by examining automatic imitation, that is, the tendency of an action stimulus to facilitate the performance of that action and interfere with the performance of an incompatible action. We required children (aged between 3 years 8 months and 7 years 11 months) to respond to actions performed by an experimenter (e.g., two hands clapping) with both compatible actions (i.e., two hands clapping) and incompatible actions (i.e., two hands waving) at different stages in the experimental procedure. As predicted by a learning account, actions thought to be performed in synchrony (i.e., clapping/waving) produced stronger automatic imitation effects when compared with actions where previous sensorimotor experience is likely to be more limited (e.g., pointing/hand closing). Furthermore, these automatic imitation effects were not found to vary with age, with both compatible and incompatible responses quickening with age. These findings suggest a role for sensorimotor experience in the development of imitative ability. Copyright © 2018 Elsevier Inc. All rights reserved.
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An, Ji-Young
2016-01-01
Objectives This article reviews an evaluation vector model driven from a participatory action research leveraging a collective inquiry system named SMILE (Stanford Mobile Inquiry-based Learning Environment). Methods SMILE has been implemented in a diverse set of collective inquiry generation and analysis scenarios including community health care-specific professional development sessions and community-based participatory action research projects. In each scenario, participants are given opportunities to construct inquiries around physical and emotional health-related phenomena in their own community. Results Participants formulated inquiries as well as potential clinical treatments and hypothetical scenarios to address health concerns or clarify misunderstandings or misdiagnoses often found in their community practices. From medical universities to rural village health promotion organizations, all participatory inquiries and potential solutions can be collected and analyzed. The inquiry and solution sets represent an evaluation vector which helps educators better understand community health issues at a much deeper level. Conclusions SMILE helps collect problems that are most important and central to their community health concerns. The evaluation vector, consisting participatory and collective inquiries and potential solutions, helps the researchers assess the participants' level of understanding on issues around health concerns and practices while helping the community adequately formulate follow-up action plans. The method used in SMILE requires much further enhancement with machine learning and advanced data visualization. PMID:27525157
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ERIC Educational Resources Information Center
MacIntyre, Peter D.; Blackie, Rebecca A.
2012-01-01
The present study examines the relative ability of variables from three motivational frameworks to predict four non-linguistic outcomes of language learning. The study examines Action Control Theory with its measures of (1) hesitation, (2) volatility and (3) rumination. The study also examined Pintrich's expectancy-value model that uses measures…