Designing and Implementing Collaborative Improvement in the Extended Manufacturing Enterprise: Action Learning and Action Research (ALAR) in CO-IMPROVE

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…

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…

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…

Influence of action-effect associations acquired by ideomotor learning on imitation.

PubMed

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.

Influence of Action-Effect Associations Acquired by Ideomotor Learning on Imitation

PubMed Central

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

Learning, Action and Solutions in Action Learning: Investigation of Facilitation Practice Using the Concept of Living Theories

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…

Supporting new graduate professional development: a clinical learning framework.

PubMed

Fitzgerald, Cate; Moores, Alis; Coleman, Allison; Fleming, Jennifer

2015-02-01

New graduate occupational therapists are required to competently deliver health-care practices within complex care environments. An occupational therapy clinical education programme within a large public sector health service sought to investigate methods to support new graduates in their clinical learning and professional development. Three cycles of an insider action research approach each using the steps of planning, action, critical observation and reflection were undertaken to investigate new graduate learning strategies, develop a learning framework and pilot its utility. Qualitative research methods were used to analyse data gathered during the action research cycles. Action research identified variations in current practices to support new graduate learning and to the development of the Occupational Therapy Clinical Learning Framework (OTCLF). Investigation into the utility of the OTCLF revealed two themes associated with its implementation namely (i) contribution to learning goal development and (ii) compatibility with existing learning supports. The action research cycles aimed to review current practices to support new graduate learning. The learning framework developed encourages reflection to identify learning needs and the review, discussion of, and engagement in, goal setting and learning strategies. Preliminary evidence indicates that the OTCLF has potential as an approach to guide new graduate goal development supported by supervision. Future opportunity to implement a similar learning framework in other allied health professions was identified, enabling a continuation of the cyclical nature of enquiry, integral to this research approach within the workplace. © 2014 Occupational Therapy Australia.

Join Us in a Participatory Approach to Training, Learning & Production. A Practical Guide to the Action Training Model.

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…

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…

Comparing Team Learning Approaches through the Lens of Activity Theory

ERIC Educational Resources Information Center

Park, Sunyoung; Cho, Yonjoo; Yoon, Seung Won; Han, Heeyoung

2013-01-01

Purpose: The purpose of this study is to examine the distinctive features of three team learning approaches (action learning, problem-based learning, and project-based learning), compare and contrast them, and discuss implications for practice and research. Design/methodology/approach: The authors used Torraco's integrative literature review…

Procuring a Sustainable Future: An Action Learning Approach to the Development and Modelling of Ethical and Sustainable Procurement Practices

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,…

Earthly Matters: Learning Occurs When You Hear the Grass Singing.

ERIC Educational Resources Information Center

Birt, Deborah; Krug, Don H.; Sheridan, Mary

1997-01-01

Discusses the actions and approaches advanced during the 1996 Summer Colloquium, "Art and Ecology: Interdisciplinary Approaches to the Curriculum." Illustrates how action-oriented inquiry makes learning relevant to all people through exploring the poetry of place. The colloquium identified community ecological issues that could be examined through…

Learning Institution to Learning Organization: Kudos to Reflective Practitioners

ERIC Educational Resources Information Center

Yeo, Roland K.

2006-01-01

Purpose: The aim of this paper is to explore if reflective inquiry and action learning have an influence on job and organizational effectiveness. A reflective-action learning framework will be used as a prior theory to illustrate its link to organizational learning. Design/methodology/approach: The case organization is a Singapore higher learning…

Exploring Constructivist Social Learning Practices in Aiding Russian-Speaking Teachers to Learn Estonian: An Action Research Approach

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…

Recognizing human actions by learning and matching shape-motion prototype trees.

PubMed

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.

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…

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)…

Action Research and Organisational Learning: A Norwegian Approach to Doing Action Research in Complex Organisations

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…

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,…

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…

Methods and Techniques: An Action Learning Approach to Financial Management Training for Union Officers.

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…

"Cast Your Net Widely": Three Steps to Expanding and Refining Your Problem before Action Learning Application

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…

Leaders Learning from Leaders as an Emergent Action Learning Strategy Type of Paper: Account of Practice

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…

Action-Effect Associations in Voluntary and Cued Task-Switching.

PubMed

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.

Action-Effect Associations in Voluntary and Cued Task-Switching

PubMed Central

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

Robots show us how to teach them: feedback from robots shapes tutoring behavior during action learning.

PubMed

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.

Robots Show Us How to Teach Them: Feedback from Robots Shapes Tutoring Behavior during Action Learning

PubMed Central

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

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…

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…

Using Learning Sets to Support UK Delivery of Off-Shore Learning in Africa

ERIC Educational Resources Information Center

Blackburn, Michelle

2014-01-01

This account of practice focuses on the delivery of Action Learning Sets in Swaziland and Malawi as part of a UK university's remote Master's degree teaching programme. It draws upon the experience of an Academic delivering the programme and the efforts made to refine the approach to action learning given time, understanding and resource…

Joint Facial Action Unit Detection and Feature Fusion: A Multi-conditional Learning Approach.

PubMed

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.

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…

Hemispheric Asymmetries in Striatal Reward Responses Relate to Approach-Avoidance Learning and Encoding of Positive-Negative Prediction Errors in Dopaminergic Midbrain Regions.

PubMed

Aberg, Kristoffer Carl; Doell, Kimberly C; Schwartz, Sophie

2015-10-28

Some individuals are better at learning about rewarding situations, whereas others are inclined to avoid punishments (i.e., enhanced approach or avoidance learning, respectively). In reinforcement learning, action values are increased when outcomes are better than predicted (positive prediction errors [PEs]) and decreased for worse than predicted outcomes (negative PEs). Because actions with high and low values are approached and avoided, respectively, individual differences in the neural encoding of PEs may influence the balance between approach-avoidance learning. Recent correlational approaches also indicate that biases in approach-avoidance learning involve hemispheric asymmetries in dopamine function. However, the computational and neural mechanisms underpinning such learning biases remain unknown. Here we assessed hemispheric reward asymmetry in striatal activity in 34 human participants who performed a task involving rewards and punishments. We show that the relative difference in reward response between hemispheres relates to individual biases in approach-avoidance learning. Moreover, using a computational modeling approach, we demonstrate that better encoding of positive (vs negative) PEs in dopaminergic midbrain regions is associated with better approach (vs avoidance) learning, specifically in participants with larger reward responses in the left (vs right) ventral striatum. Thus, individual dispositions or traits may be determined by neural processes acting to constrain learning about specific aspects of the world. Copyright © 2015 the authors 0270-6474/15/3514491-10$15.00/0.

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,…

Improving 10th Graders' English Communicative Competence through the Implementation of the Task-Based Learning Approach

ERIC Educational Resources Information Center

Buitrago Campo, Ana Carolina

2016-01-01

This article reports the results of an action-research project focused on improving students' communicative competence in English through the task-based learning approach. This study was conducted in a co-educational public school in Medellín (Colombia) with thirty-four tenth graders. Actions implemented include the development of a series of…

Leadership collaboration during health reform: an action learning approach with an interagency group of executives in Tasmania.

PubMed

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.

Action learning across the decades.

PubMed

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.

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…

Monitoring Collaborative Activities in Computer Supported Collaborative Learning

ERIC Educational Resources Information Center

Persico, Donatella; Pozzi, Francesca; Sarti, Luigi

2010-01-01

Monitoring the learning process in computer supported collaborative learning (CSCL) environments is a key element for supporting the efficacy of tutor actions. This article proposes an approach for analysing learning processes in a CSCL environment to support tutors in their monitoring tasks. The approach entails tracking the interactions within…

A blended learning approach for teaching computer programming: design for large classes in Sub-Saharan Africa

NASA Astrophysics Data System (ADS)

Bayu Bati, Tesfaye; Gelderblom, Helene; van Biljon, Judy

2014-01-01

The challenge of teaching programming in higher education is complicated by problems associated with large class teaching, a prevalent situation in many developing countries. This paper reports on an investigation into the use of a blended learning approach to teaching and learning of programming in a class of more than 200 students. A course and learning environment was designed by integrating constructivist learning models of Constructive Alignment, Conversational Framework and the Three-Stage Learning Model. Design science research is used for the course redesign and development of the learning environment, and action research is integrated to undertake participatory evaluation of the intervention. The action research involved the Students' Approach to Learning survey, a comparative analysis of students' performance, and qualitative data analysis of data gathered from various sources. The paper makes a theoretical contribution in presenting a design of a blended learning solution for large class teaching of programming grounded in constructivist learning theory and use of free and open source technologies.

The Process of Developing Theories-in-Action with OELEs: A Qualitative Study.

ERIC Educational Resources Information Center

Land, Susan M.; Hannafin, Michael J.

Open-ended learning environments (OELEs) like microworlds have been touted as one approach for blending learning theory and emerging technology to support the building of student-centered understanding. The learning process involves developing a theory-in-action--an intuitive theory that is generated and changed by learners as they reflect upon…

From Idea to Action: Promoting Responsible Management Education through a Semester-Long Academic Integrity Learning Project

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…

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…

A Framework for Hierarchical Perception-Action Learning Utilizing Fuzzy Reasoning.

PubMed

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.

Exploring the potential of a multi-level approach to improve capability for continuous organizational improvement and learning in a Swedish healthcare region.

PubMed

Nyström, M E; Höög, E; Garvare, R; Andersson Bäck, M; Terris, D D; Hansson, J

2018-05-24

Eldercare and care of people with functional impairments is organized by the municipalities in Sweden. Improving care in these areas is complex, with multiple stakeholders and organizations. Appropriate strategies to develop capability for continuing organizational improvement and learning (COIL) are needed. The purpose of our study was to develop and pilot-test a flexible, multilevel approach for COIL capability building and to identify what it takes to achieve changes in key actors' approaches to COIL. The approach, named "Sustainable Improvement and Development through Strategic and Systematic Approaches" (SIDSSA), was applied through an action-research and action-learning intervention. The SIDSSA approach was tested in a regional research and development (R&D) unit, and in two municipalities handling care of the elderly and people with functional impairments. Our approach included a multilevel strategy, development loops of five flexible phases, and an action-learning loop. The approach was designed to support systems understanding, strategic focus, methodological practices, and change process knowledge - all of which required double-loop learning. Multiple qualitative methods, i.e., repeated interviews, process diaries, and documents, provided data for conventional content analyses. The new approach was successfully tested on all cases and adopted and sustained by the R&D unit. Participants reported new insights and skills. The development loop facilitated a sense of coherence and control during uncertainty, improved planning and problem analysis, enhanced mapping of context and conditions, and supported problem-solving at both the individual and unit levels. The systems-level view and structured approach helped participants to explain, motivate, and implement change initiatives, especially after working more systematically with mapping, analyses, and goal setting. An easily understood and generalizable model internalized by key organizational actors is an important step before more complex development models can be implemented. SIDSSA facilitated individual and group learning through action-learning and supported systems-level views and structured approaches across multiple organizational levels. Active involvement of diverse organizational functions and levels in the learning process was facilitated. However, the time frame was too short to fully test all aspects of the approach, specifically in reaching beyond the involved managers to front-line staff and patients.

SAN-RL: combining spreading activation networks and reinforcement learning to learn configurable behaviors

NASA Technical Reports Server (NTRS)

White, J.; Gaines, D. M.; Wilkes, M.; Kusumalnukool, K.; Thongchai, S.; Kawamura, K.

2001-01-01

This approach provides the agent with a causal structure, the spreading activation network, relating goals to the actions that can achieve those goals. This enables the agent to select actions relative to the goal priorities.

Action Recognition Using Nonnegative Action Component Representation and Sparse Basis Selection.

PubMed

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.

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…

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…

Revolutionary Learning, Biodiversity, and Transformative Action. Essay Review of "Learning in Social Action: A Contribution To Understanding Informal Education" by Griff Foley; "Transformative Learning: Educational Vision for the Twenty-First Century" by Edmund O'Sullivan; and "Che Guevara, Paulo Freire and the Pedagogy of Revolution" by Peter McLaren.

ERIC Educational Resources Information Center

Mayo, Peter

2001-01-01

Three books, published 1999-2000, map out a vision of education as a vehicle for human emancipation and global transformation. Their approaches to presenting the "big picture" differ, focusing on case studies of learning through local social action; the impact of Che Guevara and Paulo Freire on liberation discourse worldwide; and comprehensive…

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…

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…

Action Research: Measuring Literacy Programme Participants' Learning Outcomes. Results of the Final Phase (2011-2014)

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…

The Effect of Two Different Cooperative Approaches on Students' Learning and Practices within the Context of a WebQuest Science Investigation

ERIC Educational Resources Information Center

Zacharia, Zacharias C.; Xenofontos, Nikoletta A.; Manoli, Constantinos C.

2011-01-01

The goal of this study was to investigate the effect of two different cooperative learning approaches, namely, the Jigsaw Cooperative Approach (JCA) and the Traditional Cooperative Approach (TCA), on students' learning and practices/actions within the context of a WebQuest science investigation. Another goal of this study was to identify possible…

Quantum reinforcement learning.

PubMed

Dong, Daoyi; Chen, Chunlin; Li, Hanxiong; Tarn, Tzyh-Jong

2008-10-01

The key approaches for machine learning, particularly learning in unknown probabilistic environments, are new representations and computation mechanisms. In this paper, a novel quantum reinforcement learning (QRL) method is proposed by combining quantum theory and reinforcement learning (RL). Inspired by the state superposition principle and quantum parallelism, a framework of a value-updating algorithm is introduced. The state (action) in traditional RL is identified as the eigen state (eigen action) in QRL. The state (action) set can be represented with a quantum superposition state, and the eigen state (eigen action) can be obtained by randomly observing the simulated quantum state according to the collapse postulate of quantum measurement. The probability of the eigen action is determined by the probability amplitude, which is updated in parallel according to rewards. Some related characteristics of QRL such as convergence, optimality, and balancing between exploration and exploitation are also analyzed, which shows that this approach makes a good tradeoff between exploration and exploitation using the probability amplitude and can speedup learning through the quantum parallelism. To evaluate the performance and practicability of QRL, several simulated experiments are given, and the results demonstrate the effectiveness and superiority of the QRL algorithm for some complex problems. This paper is also an effective exploration on the application of quantum computation to artificial intelligence.

Analysing the Continuity of Teaching and Learning in Classroom Actions: When the Joint Action Framework in Didactics Meets the Pragmatist Approach to Classroom Discourses

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,…

Motivating an Action Design Research Approach to Implementing Online Training in an Organisational Context

ERIC Educational Resources Information Center

Rogerson, Christine; Scott, Elsje

2013-01-01

The purpose of this paper is to explore the effectiveness of Action Design Research (ADR), a combination of Action Research and Design Science Research, as a methodology to examine how the implementation of e-learning will affect the learning outcomes for staff training in an organisational context. The research involves an intervention in the…

Utilizing an Experiential Approach to Teacher Learning about AfL: A Consciousness Raising Opportunity

ERIC Educational Resources Information Center

Dixon, Helen; Hawe, Eleanor

2016-01-01

In this article we focus on how an experiential based approach to teacher learning about assessment for learning (AfL) provided opportunities for teachers to examine: their deep-seated beliefs about effective learning (and teaching); how these beliefs permeated their day-to-day actions and interactions with students, and the consequence of these…

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…

An Evaluation of Pedagogical Tutorial Tactics for a Natural Language Tutoring System: A Reinforcement Learning Approach

ERIC Educational Resources Information Center

Chi, Min; VanLehn, Kurt; Litman, Diane; Jordan, Pamela

2011-01-01

Pedagogical strategies are policies for a tutor to decide the next action when there are multiple actions available. When the content is controlled to be the same across experimental conditions, there has been little evidence that tutorial decisions have an impact on students' learning. In this paper, we applied Reinforcement Learning (RL) to…

The Application of Contextual Approach in Learning Mathematics to Improve Students Motivation at SMPN 1 Kupang

ERIC Educational Resources Information Center

Ekowati, Ch. Krisnandari; Darwis, Muhammad; Upa, H. M. D. Pua; Tahmir, Suradi

2015-01-01

This research is an action research which aims to implement contextual teaching and learning (CTL) approach to learn mathematics, focus on the integration subjects. The approach utilizes the use of mathematics manipulative so that students can understand a mathematical concept to construct their own. The method which used in this research are…

A Collaborative Action Research Project towards Embedding ESD within the Higher Education Curriculum

ERIC Educational Resources Information Center

Cebrián, Gisela

2017-01-01

Purpose: This paper aims to present a collaborative action research project conducted at the University of Southampton with the aim to promote curriculum and professional development in education for sustainable development (ESD) and learn from everyday practices of academics. Design/methodology/approach: An action research approach guided by…

Parallel, but Dissociable, Processing in Discrete Corticostriatal Inputs Encodes Skill Learning.

PubMed

Kupferschmidt, David A; Juczewski, Konrad; Cui, Guohong; Johnson, Kari A; Lovinger, David M

2017-10-11

Changes in cortical and striatal function underlie the transition from novel actions to refined motor skills. How discrete, anatomically defined corticostriatal projections function in vivo to encode skill learning remains unclear. Using novel fiber photometry approaches to assess real-time activity of associative inputs from medial prefrontal cortex to dorsomedial striatum and sensorimotor inputs from motor cortex to dorsolateral striatum, we show that associative and sensorimotor inputs co-engage early in action learning and disengage in a dissociable manner as actions are refined. Disengagement of associative, but not sensorimotor, inputs predicts individual differences in subsequent skill learning. Divergent somatic and presynaptic engagement in both projections during early action learning suggests potential learning-related in vivo modulation of presynaptic corticostriatal function. These findings reveal parallel processing within associative and sensorimotor circuits that challenges and refines existing views of corticostriatal function and expose neuronal projection- and compartment-specific activity dynamics that encode and predict action learning. Published by Elsevier Inc.

Analysis of a physics teacher's pedagogical `micro-actions' that support 17-year-olds' learning of free body diagrams via a modelling approach

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.

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…

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…

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…

Transforming Your Community. Empowering for Change.

ERIC Educational Resources Information Center

Moore, Allen B.; Brooks, Rusty

This book presents a "bottom-up" action learning and action planning approach to community economic development. It is based on a learning experience for adults to promote community economic development that became the Community Economic Development Program. The book is organized in 11 chapters that cover the following topics: (1) framework for…

Learning to reach by reinforcement learning using a receptive field based function approximation approach with continuous actions.

PubMed

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.

Learning, Experienced Emotions, Relationships and Innovation in HRD

ERIC Educational Resources Information Center

Anderson, Valerie; Gilmore, Sarah

2010-01-01

Purpose: This paper aims to explore the introduction of a new experience-based learning process in the learning and teaching of human resource development (HRD) within a professionally accredited curriculum in a UK University. Design/methodology/approach: An action enquiry approach is taken, and qualitative data gathered over a full academic year…

Improving Grasp Skills Using Schema Structured Learning

NASA Technical Reports Server (NTRS)

Platt, Robert; Grupen, ROderic A.; Fagg, Andrew H.

2006-01-01

Abstract In the control-based approach to robotics, complex behavior is created by sequencing and combining control primitives. While it is desirable for the robot to autonomously learn the correct control sequence, searching through the large number of potential solutions can be time consuming. This paper constrains this search to variations of a generalized solution encoded in a framework known as an action schema. A new algorithm, SCHEMA STRUCTURED LEARNING, is proposed that repeatedly executes variations of the generalized solution in search of instantiations that satisfy action schema objectives. This approach is tested in a grasping task where Dexter, the UMass humanoid robot, learns which reaching and grasping controllers maximize the probability of grasp success.

A cooperative inquiry into action learning and praxis development in a community nursing module.

PubMed

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.

Work-based learning: a leadership development example from an action research study of shared governance implementation.

PubMed

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.

Immunity to Transformational Learning and Change

ERIC Educational Resources Information Center

Bochman, David J.; Kroth, Michael

2010-01-01

Purpose: The purpose of this paper is to examine and synthesize Argyris and Schon's Theory of Action and Kegan and Lahey's theory of Immunity to Change in order to produce an integrated model. Design/methodology/approach: Literature discussing Argyris and Schon's Theory of Action (Model I and Model II), single and double-loop learning, espoused…

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…

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…

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…

Improving Learning Disabled Students' Composition Skills: A Self-Control Strategy Training Approach.

ERIC Educational Resources Information Center

Harris, Karen R.; Graham, Steve

The study investigated whether a self control strategy training procedure was effective in improving compositions of two 12-year-old learning disabled students. Effects of training on three objective aspects of compositions (number of different action words, action helpers, and describing words) were investigated using a multiple baseline across…

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…

Accelerating what works: using qualitative research methods in developing a change package for a learning collaborative.

PubMed

Sorensen, Asta V; Bernard, Shulamit L

2012-02-01

Learning (quality improvement) collaboratives are effective vehicles for driving coordinated organizational improvements. A central element of a learning collaborative is the change package-a catalogue of strategies, change concepts, and action steps that guide participants in their improvement efforts. Despite a vast literature describing learning collaboratives, little to no information is available on how the guiding strategies, change concepts, and action items are identified and developed to a replicable and actionable format that can be used to make measurable improvements within participating organizations. The process for developing the change package for the Health Resources and Services Administration's (HRSA) Patient Safety and Clinical Pharmacy Services Collaborative entailed environmental scan and identification of leading practices, case studies, interim debriefing meetings, data synthesis, and a technical expert panel meeting. Data synthesis involved end-of-day debriefings, systematic qualitative analyses, and the use of grounded theory and inductive data analysis techniques. This approach allowed systematic identification of innovative patient safety and clinical pharmacy practices that could be adopted in diverse environments. A case study approach enabled the research team to study practices in their natural environments. Use of grounded theory and inductive data analysis techniques enabled identification of strategies, change concepts, and actionable items that might not have been captured using different approaches. Use of systematic processes and qualitative methods in identification and translation of innovative practices can greatly accelerate the diffusion of innovations and practice improvements. This approach is effective whether or not an individual organization is part of a learning collaborative.

Information-theoretic approach to interactive learning

NASA Astrophysics Data System (ADS)

Still, S.

2009-01-01

The principles of statistical mechanics and information theory play an important role in learning and have inspired both theory and the design of numerous machine learning algorithms. The new aspect in this paper is a focus on integrating feedback from the learner. A quantitative approach to interactive learning and adaptive behavior is proposed, integrating model- and decision-making into one theoretical framework. This paper follows simple principles by requiring that the observer's world model and action policy should result in maximal predictive power at minimal complexity. Classes of optimal action policies and of optimal models are derived from an objective function that reflects this trade-off between prediction and complexity. The resulting optimal models then summarize, at different levels of abstraction, the process's causal organization in the presence of the learner's actions. A fundamental consequence of the proposed principle is that the learner's optimal action policies balance exploration and control as an emerging property. Interestingly, the explorative component is present in the absence of policy randomness, i.e. in the optimal deterministic behavior. This is a direct result of requiring maximal predictive power in the presence of feedback.

A Hybrid Approach for Supporting Adaptivity in E-Learning Environments

ERIC Educational Resources Information Center

Al-Omari, Mohammad; Carter, Jenny; Chiclana, Francisco

2016-01-01

Purpose: The purpose of this paper is to identify a framework to support adaptivity in e-learning environments. The framework reflects a novel hybrid approach incorporating the concept of the event-condition-action (ECA) model and intelligent agents. Moreover, a system prototype is developed reflecting the hybrid approach to supporting adaptivity…

Professional Learning in Action: An Inquiry Approach for Teachers of Literacy. Common Core State Standards in Literacy Series

ERIC Educational Resources Information Center

Riski, Victoria J.; Vogt, Mary Ellen

2016-01-01

Risko and Vogt provide a unique and progressive approach for engaging the professional learning of teachers of literacy, reading specialists, literacy coaches and instructional leaders, content specialists, and administrators. Their deliberate use of Professional Learning signals the importance of educators engaging in authentic and inquiry-based…

Action learning: an effective way to improve cancer-related pain management.

PubMed

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.

Project CAPABLE: Model Unit.

ERIC Educational Resources Information Center

Madawaska School District, ME.

Project CAPABLE (Classroom Action Program: Aim: Basic Learning Effectiveness) is a classroom approach which integrates the basic learning skills with content. The goal of the project is to use basic learning skills to enhance the learning of content and at the same time use the content to teach basic learning skills. This manual illustrates how…

Shaping Learning Cultures: A Strategic Challenge for Universities

NASA Astrophysics Data System (ADS)

Euler, Dieter

While there are strong stakeholders at universities arguing for increasing efforts to improve the research record, innovative actions for a corresponding commitment on teaching and learning are less frequent. In many cases, this issue is left to the discretion of individual teachers. In order to improve teaching and learning at universities, this approach does not seem to be appropriate. Rather, actions on different dimensions have to be organized, ranging from the individual, interactional, and institutional level of a university. The different perspectives on analysis and action are assembled in a construct called "learning cultures." This term covers the various dimensions impacting on student learning. The article provides a definition of "learning cultures," which will then be explained. Based on the explicated notion, a conceptual frame is put forward covering the key features of "learning cultures." Finally, some ideas are given providing some preliminary answers on how to shape learning cultures at the strategic level at universities.

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…

Using Action Learning to Support Individual and Organisational Reflection in an International Development and Relief Agency

ERIC Educational Resources Information Center

Wright, Nick

2004-01-01

The dramatic rise in popularity of action learning (AL) over recent years has provided opportunity and impetus for various applications of this approach to be developed and tested in practice. This article describes one organisation's experience of AL, demonstrating that it can be effective in terms of stimulating and supporting reflective…

Using a Critical Reflection Framework and Collaborative Inquiry to Improve Teaching Practice: An Action Research Project

ERIC Educational Resources Information Center

Briscoe, Patricia

2017-01-01

This action research reports on a three-year collaborative learning process among three teachers. We used current literature and a critical reflection framework to understand why our teaching approaches were not resulting in increased student learning. This allowed us to examine our previously unrecognized and uninterrupted--and often,…

Impact in Participatory Health Research: What Can We Learn from Research on Participatory Evaluation?

ERIC Educational Resources Information Center

Springett, Jane

2017-01-01

Participatory Health Research is a collective term adopted globally for participatory action research in a health context. As an approach to research, it challenges current ways used within the health sciences to measure research impact as research, learning and action are integrated throughout the research process and dependent on context and…

Doing Right in Business: Can Action Learning Develop Moral Sensitivity and Promote Ethical Behaviour?

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…

Learning robot actions based on self-organising language memory.

PubMed

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.

Learning to Be Interdisciplinary: An Action Research Approach to Boundary Spanning

ERIC Educational Resources Information Center

Munoz, Karen; Jeris, Laurel

2005-01-01

Objective: This study explored challenges and barriers that need to be addressed in a preprofessional educational setting to provide opportunities for boundary spanning that leads to family-centred interdisciplinary service provision. Design: The design employed in this study was participatory action research, an inductive approach. Setting: The…

Transformative Educational Actions for Children in Poverty: Sen's Capability Approach into Practice in the Korean Context

ERIC Educational Resources Information Center

Kim, Kyung Hi

2017-01-01

By adopting Sen's capability approach, this study explores transformative educational actions for children in poverty to develop their capabilities for learning for life. Sen's capability approach provides a framework for why it is important to foster the capabilities of children in poverty and what is required to help these children to improve…

Towards tailored teaching: using participatory action research to enhance the learning experience of Longitudinal Integrated Clerkship students in a South African rural district hospital.

PubMed

von Pressentin, Klaus B; Waggie, Firdouza; Conradie, Hoffie

2016-03-08

The introduction of Stellenbosch University's Longitudinal Integrated Clerkship (LIC) model as part of the undergraduate medical curriculum offers a unique and exciting training model to develop generalist doctors for the changing South African health landscape. At one of these LIC sites, the need for an improvement of the local learning experience became evident. This paper explores how to identify and implement a tailored teaching and learning intervention to improve workplace-based learning for LIC students. A participatory action research approach was used in a co-operative inquiry group (ten participants), consisting of the students, clinician educators and researchers, who met over a period of 5 months. Through a cyclical process of action and reflection this group identified a teaching intervention. The results demonstrate the gaps and challenges identified when implementing a LIC model of medical education. A structured learning programme for the final 6 weeks of the students' placement at the district hospital was designed by the co-operative inquiry group as an agreed intervention. The post-intervention group reflection highlighted a need to create a structured programme in the spirit of local collaboration and learning across disciplines. The results also enhance our understanding of both students and clinician educators' perceptions of this new model of workplace-based training. This paper provides practical strategies to enhance teaching and learning in a new educational context. These strategies illuminate three paradigm shifts: (1) from the traditional medical education approach towards a transformative learning approach advocated for the 21(st) century health professional; (2) from the teaching hospital context to the district hospital context; and (3) from block-based teaching towards a longitudinal integrated learning model. A programme based on balancing structured and tailored learning activities is recommended in order to address the local learning needs of students in the LIC model. We recommend that action learning sets should be developed at these LIC sites, where the relevant aspects of work-place based learning are negotiated.

The Effect of an Energy Audit Service Learning Project on Student Perceptions of STEM Related Disciplines, Personal Behaviors/Actions towards the Environment, and Stewardship Skills

NASA Astrophysics Data System (ADS)

Gullo, Michael

The purpose of this study was to investigate whether or not service learning could be considered an alternative teaching method in an environmental science classroom. In particular, the results of this research show whether an energy audit service learning project influenced student environmental awareness (knowledge of environmental issues, problems, and solutions), student personal actions/behaviors towards the environment, student perceptions and attitudes of science related careers, and community partnerships. Haines (2010) defines service learning as “a teaching and learning strategy that integrates meaningful community service with instruction and reflection to enrich the learning experience, teach civic responsibility, and strengthen communities” (p. 16). Moreover, service learning opportunities can encourage students to step out of their comfort zone and learn from hands-on experiences and apply knowledge obtained from lectures and classroom activities to real life situations. To add to the growing body of literature, the results of this study concluded that an energy audit service learning project did not have a measureable effect on student perceptions and attitudes of science related careers as compared to a more traditional teaching approach. However, the data from this study did indicate that an energy audit service learning project increased students personal actions/behaviors towards the environment more than a direct teaching approach.

Focusing on learning through constructive alignment with task-oriented portfolio assessment

NASA Astrophysics Data System (ADS)

Cain, A.; Grundy, J.; Woodward, C. J.

2018-07-01

Approaches to learning have been shown to have a significant impact on student success in technical units. This paper reports on an action research study that applied the principles of constructive alignment to improve student learning outcomes in programming units. The proposed model uses frequent formative feedback to engage students with unit material, and encourage them to adopt deep approaches to learning. Our results provide a set of guiding principles and a structured teaching approach that focuses students on meeting unit learning objectives, the goal of constructive alignment. The results are demonstrated via descriptions of the resulting teaching and learning environment, student results, and staff and student reflections.

Leadership Learning through Student-Centered and Inquiry-Focused Approaches to Teaching Adaptive Leadership

ERIC Educational Resources Information Center

Haber-Curran, Paige; Tillapaugh, Daniel

2013-01-01

This qualitative study examines student learning about leadership across three sections of a capstone course in an undergraduate leadership minor. Qualitative methods were informed by exploratory case study analysis and phenomenology. Student-centered and inquiry-focused pedagogical approaches, including case-in-point, action inquiry, and…

Some Psychometric and Design Implications of Game-Based Learning Analytics

ERIC Educational Resources Information Center

Gibson, David; Clarke-Midura, Jody

2013-01-01

The rise of digital game and simulation-based learning applications has led to new approaches in educational measurement that take account of patterns in time, high resolution paths of action, and clusters of virtual performance artifacts. The new approaches, which depart from traditional statistical analyses, include data mining, machine…

A Dissemination Methodology for Learning and Teaching Developments through Engaging and Embedding

ERIC Educational Resources Information Center

Treleaven, Lesley; Sykes, Chris; Ormiston, Jarrod

2012-01-01

Dissemination of learning and teaching innovation in higher education requires approaches to change that are socially contextualised, dynamic and self-reflexive. This article, therefore, presents a methodology for dissemination employing an embedding heuristic and engaging in participatory action research. The embedding approach emphasises three…

Improving the Efficiency of Virtual Reality Training by Integrating Partly Observational Learning

ERIC Educational Resources Information Center

Yuviler-Gavish, Nirit; Rodríguez, Jorge; Gutiérrez, Teresa; Sánchez, Emilio; Casado, Sara

2014-01-01

The current study hypothesized that integrating partly observational learning into virtual reality training systems (VRTS) can enhance training efficiency for procedural tasks. A common approach in designing VRTS is the enactive approach, which stresses the importance of physical actions within the environment to enhance perception and improve…

Cultivating a culture of research in nursing through a journal club for leaders: A pilot study.

PubMed

Kjerholt, Mette; Hølge-Hazelton, Bibi

2018-01-01

To describe whether an action learning-inspired journal club for nurse leaders can develop the leaders' self-perceived competences to support a research culture in clinical nursing practice. Development of clinical research capacity and nurse leaders with the requisite competences are key factors in evidence-based health care practice. This study describes how nurse leaders at a large regional hospital took part in a journal club for nurse leaders, with a view to developing their competences to support a nursing research culture in their departments. A pilot study using a multimethod approach to evaluate the journal club for nurse leaders. Four nurse leaders participated in the journal club for nurse leaders. Content analysis on the data was performed. Data revealed that participation in journal club for nurse leaders gave the leaders a feeling of increased competences to support nursing research culture in their departments. They stated that the action learning approach and the competences of the facilitator were key factors in this outcome. An action learning-inspired journal club for nurse leaders can be useful and meaningful to nurse leaders in developing leadership competences. As an approach in journal club for nurse leaders, action learning can develop nurse leaders' competence to support a research culture, and thus ensure evidence-based nursing is practised. © 2017 John Wiley & Sons Ltd.

The computational neurobiology of learning and reward.

PubMed

Daw, Nathaniel D; Doya, Kenji

2006-04-01

Following the suggestion that midbrain dopaminergic neurons encode a signal, known as a 'reward prediction error', used by artificial intelligence algorithms for learning to choose advantageous actions, the study of the neural substrates for reward-based learning has been strongly influenced by computational theories. In recent work, such theories have been increasingly integrated into experimental design and analysis. Such hybrid approaches have offered detailed new insights into the function of a number of brain areas, especially the cortex and basal ganglia. In part this is because these approaches enable the study of neural correlates of subjective factors (such as a participant's beliefs about the reward to be received for performing some action) that the computational theories purport to quantify.

Soft Systems Methodology

NASA Astrophysics Data System (ADS)

Checkland, Peter; Poulter, John

Soft systems methodology (SSM) is an approach for tackling problematical, messy situations of all kinds. It is an action-oriented process of inquiry into problematic situations in which users learn their way from finding out about the situation, to taking action to improve it. The learning emerges via an organised process in which the situation is explored using a set of models of purposeful action (each built to encapsulate a single worldview) as intellectual devices, or tools, to inform and structure discussion about a situation and how it might be improved. This paper, written by the original developer Peter Checkland and practitioner John Poulter, gives a clear and concise account of the approach that covers SSM's specific techniques, the learning cycle process of the methodology and the craft skills which practitioners develop. This concise but theoretically robust account nevertheless includes the fundamental concepts, techniques, core tenets described through a wide range of settings.

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…

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,…

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…

Discovering and Articulating What Is Not yet Known: Using Action Learning and Grounded Theory as a Knowledge Management Strategy

ERIC Educational Resources Information Center

Pauleen, David J.; Corbitt, Brian; Yoong, Pak

2007-01-01

Purpose: To provide a conceptual model for the discovery and articulation of emergent organizational knowledge, particularly knowledge that develops when people work with new technologies. Design/methodology/approach: The model is based on two widely accepted research methods--action learning and grounded theory--and is illustrated using a case…

Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning.

PubMed

Fernandez-Gauna, Borja; Etxeberria-Agiriano, Ismael; Graña, Manuel

2015-01-01

Multi-Agent Reinforcement Learning (MARL) algorithms face two main difficulties: the curse of dimensionality, and environment non-stationarity due to the independent learning processes carried out by the agents concurrently. In this paper we formalize and prove the convergence of a Distributed Round Robin Q-learning (D-RR-QL) algorithm for cooperative systems. The computational complexity of this algorithm increases linearly with the number of agents. Moreover, it eliminates environment non sta tionarity by carrying a round-robin scheduling of the action selection and execution. That this learning scheme allows the implementation of Modular State-Action Vetoes (MSAV) in cooperative multi-agent systems, which speeds up learning convergence in over-constrained systems by vetoing state-action pairs which lead to undesired termination states (UTS) in the relevant state-action subspace. Each agent's local state-action value function learning is an independent process, including the MSAV policies. Coordination of locally optimal policies to obtain the global optimal joint policy is achieved by a greedy selection procedure using message passing. We show that D-RR-QL improves over state-of-the-art approaches, such as Distributed Q-Learning, Team Q-Learning and Coordinated Reinforcement Learning in a paradigmatic Linked Multi-Component Robotic System (L-MCRS) control problem: the hose transportation task. L-MCRS are over-constrained systems with many UTS induced by the interaction of the passive linking element and the active mobile robots.

Experiential Learning in Retrospect: A Future Organizational Challenge?

ERIC Educational Resources Information Center

Olsson, Annika; Bjoorn, Urban; Jonson, Gunilla

2008-01-01

Purpose: The purpose of this paper is to describe a retrospective reflection over unconscious, emergent learning among employees of an organization and to suggest how to capture these moments of experiential learning for future organizational learning. Design/methodology/approach: Action research in organizations is undertaken in interaction with…

Integrated Learning with International Banking Executives

ERIC Educational Resources Information Center

Zinke, Sabine; Briault, Steve

2007-01-01

The article describes an in-house executive development programme run by the authors in a leading banking group in the CEE region. The programme attempts to follow a systemic approach to learning and contains a mix of elements including action learning, classroom teaching, study, peer support and feedback and "learning visits" to…

Learning to Support Learning Together: An Experience with the Soft Systems Methodology

ERIC Educational Resources Information Center

Sanchez, Adolfo; Mejia, Andres

2008-01-01

An action research approach called soft systems methodology (SSM) was used to foster organisational learning in a school regarding the role of the learning support department within the school and its relation with the normal teaching-learning activities. From an initial situation of lack of coordination as well as mutual misunderstanding and…

Turning Pupils on to Learning: Creative Classrooms in Action. Creative Teaching/Creative Schools

ERIC Educational Resources Information Center

Elkington, Rob, Ed.

2011-01-01

"Turning Pupils on to Learning" documents and makes visible how creative learning approaches can engage and motivate children in their learning. The book features six case studies of creative learning projects that cover the early years through to Key Stage 3 which are written by the teachers and creative practitioners involved. From the creation…

Intrinsic interactive reinforcement learning - Using error-related potentials for real world human-robot interaction.

PubMed

Kim, Su Kyoung; Kirchner, Elsa Andrea; Stefes, Arne; Kirchner, Frank

2017-12-14

Reinforcement learning (RL) enables robots to learn its optimal behavioral strategy in dynamic environments based on feedback. Explicit human feedback during robot RL is advantageous, since an explicit reward function can be easily adapted. However, it is very demanding and tiresome for a human to continuously and explicitly generate feedback. Therefore, the development of implicit approaches is of high relevance. In this paper, we used an error-related potential (ErrP), an event-related activity in the human electroencephalogram (EEG), as an intrinsically generated implicit feedback (rewards) for RL. Initially we validated our approach with seven subjects in a simulated robot learning scenario. ErrPs were detected online in single trial with a balanced accuracy (bACC) of 91%, which was sufficient to learn to recognize gestures and the correct mapping between human gestures and robot actions in parallel. Finally, we validated our approach in a real robot scenario, in which seven subjects freely chose gestures and the real robot correctly learned the mapping between gestures and actions (ErrP detection (90% bACC)). In this paper, we demonstrated that intrinsically generated EEG-based human feedback in RL can successfully be used to implicitly improve gesture-based robot control during human-robot interaction. We call our approach intrinsic interactive RL.

Hybrid generative-discriminative human action recognition by combining spatiotemporal words with supervised topic models

NASA Astrophysics Data System (ADS)

Sun, Hao; Wang, Cheng; Wang, Boliang

2011-02-01

We present a hybrid generative-discriminative learning method for human action recognition from video sequences. Our model combines a bag-of-words component with supervised latent topic models. A video sequence is represented as a collection of spatiotemporal words by extracting space-time interest points and describing these points using both shape and motion cues. The supervised latent Dirichlet allocation (sLDA) topic model, which employs discriminative learning using labeled data under a generative framework, is introduced to discover the latent topic structure that is most relevant to action categorization. The proposed algorithm retains most of the desirable properties of generative learning while increasing the classification performance though a discriminative setting. It has also been extended to exploit both labeled data and unlabeled data to learn human actions under a unified framework. We test our algorithm on three challenging data sets: the KTH human motion data set, the Weizmann human action data set, and a ballet data set. Our results are either comparable to or significantly better than previously published results on these data sets and reflect the promise of hybrid generative-discriminative learning approaches.

Exploring the Development of Competence in Lean Management through Action Learning Groups: A Study of the Introduction of Lean to a Facilities Management Function

ERIC Educational Resources Information Center

Wyton, Paul; Payne, Robin

2014-01-01

The introduction of a Lean approach to management requires the development of understanding and capability. This in turn requires a structured training intervention and other supporting activities. This paper explores, through a case study, the way in which action learning groups (ALGs) supported the development of Lean capabilities in the…

Affect in Human-Robot Interaction

DTIC Science & Technology

2014-01-01

is capable of learning and producing a large number of facial expressions based on Ekman’s Facial Action Coding System, FACS (Ekman and Friesen 1978... tactile (pushed, stroked, etc.), auditory (loud sound), temperature and olfactory (alcohol, smoke, etc.). The personality of the robot consists of...robot’s behavior through decision-making, learning , or action selection, a number of researchers used the fuzzy logic approach to emotion generation

Mayan Children's Creation of Learning Ecologies by Initiative and Cooperative Action.

PubMed

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.

Dopamine Dependence in Aggregate Feedback Learning: A Computational Cognitive Neuroscience Approach

PubMed Central

Valentin, Vivian V.; Maddox, W. Todd; Ashby, F. Gregory

2016-01-01

Procedural learning of skills depends on dopamine-mediated striatal plasticity. Most prior work investigated single stimulus-response procedural learning followed by feedback. However, many skills include several actions that must be performed before feedback is available. A new procedural-learning task is developed in which three independent and successive unsupervised categorization responses receive aggregate feedback indicating either that all three responses were correct, or at least one response was incorrect. Experiment 1 showed superior learning of stimuli in position 3, and that learning in the first two positions was initially compromised, and then recovered. An extensive theoretical analysis that used parameter space partitioning found that a large class of procedural-learning models, which predict propagation of dopamine release from feedback to stimuli, and/or an eligibility trace, fail to fully account for these data. The analysis also suggested that any dopamine released to the second or third stimulus impaired categorization learning in the first and second positions. A second experiment tested and confirmed a novel prediction of this large class of procedural-learning models that if the to-be-learned actions are introduced one-by-one in succession then learning is much better if training begins with the first action (and works forwards) than if it begins with the last action (and works backwards). PMID:27596541

Circles and Communities, Sharing Practices and Learning: Looking at New Extension Education Approaches

ERIC Educational Resources Information Center

Cristovao, A.; Ferrao, P.; Madeira, R.; Tiberio, M. L.; Rainho, M. J.; Teixeira, M. S.

2009-01-01

We live today in a "knowledge society", but "knowledge transfer" is no longer the dominant extension education paradigm. The principle of "learning to learn" and the concepts of self-directed, collaborative and action learning are more crucial today then ever. The key principles are to stimulate knowledge discovery…

Case-Based Modeling for Learning: Socially Constructed Skill Development

ERIC Educational Resources Information Center

Lyons, Paul; Bandura, Randall P.

2018-01-01

Purpose: Grounded on components of experiential learning theory (ELT) and self-regulation of learning (SRL) theory, augmented by elements of action theory and script development, the purpose of this paper is to demonstrate the case-based modeling (CBM) instructional approach that stimulates learning in groups or teams. CBM is related to individual…

Learning Processes in Blended Language Learning: A Mixed-Methods Approach

ERIC Educational Resources Information Center

Shahrokni, Seyed Abdollah; Talaeizadeh, Ali

2013-01-01

This article attempts to investigate the learning processes in blended language learning through assessing sources of information: logs, chat and forum scripts, and semi-structured interviews. Creating a MOODLE-based parallel component to face-to-face instruction for a group of EFL learners, we probed into 2,984 logged actions providing raw…

One School's Approach to Overcoming Resistance and Improving Appraisal: Organizational Learning in Action

ERIC Educational Resources Information Center

Piggot-Irvine, Eileen

2010-01-01

This article reports on the action research (AR) approach adopted by one New Zealand (NZ) primary school to review and improve its appraisal system. Historically the staff had demonstrated considerable negativity towards appraisal. The classic reconnaissance, implementation and evaluation phases of AR were adopted by the case study school as a…

Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural Model

PubMed Central

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

Feature and Region Selection for Visual Learning.

PubMed

Zhao, Ji; Wang, Liantao; Cabral, Ricardo; De la Torre, Fernando

2016-03-01

Visual learning problems, such as object classification and action recognition, are typically approached using extensions of the popular bag-of-words (BoWs) model. Despite its great success, it is unclear what visual features the BoW model is learning. Which regions in the image or video are used to discriminate among classes? Which are the most discriminative visual words? Answering these questions is fundamental for understanding existing BoW models and inspiring better models for visual recognition. To answer these questions, this paper presents a method for feature selection and region selection in the visual BoW model. This allows for an intermediate visualization of the features and regions that are important for visual learning. The main idea is to assign latent weights to the features or regions, and jointly optimize these latent variables with the parameters of a classifier (e.g., support vector machine). There are four main benefits of our approach: 1) our approach accommodates non-linear additive kernels, such as the popular χ(2) and intersection kernel; 2) our approach is able to handle both regions in images and spatio-temporal regions in videos in a unified way; 3) the feature selection problem is convex, and both problems can be solved using a scalable reduced gradient method; and 4) we point out strong connections with multiple kernel learning and multiple instance learning approaches. Experimental results in the PASCAL VOC 2007, MSR Action Dataset II and YouTube illustrate the benefits of our approach.

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)

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…

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…

On the design of neuro-controllers for individual and social learning behaviour in autonomous robots: an evolutionary approach

NASA Astrophysics Data System (ADS)

Pini, Giovanni; Tuci, Elio

2008-06-01

In biology/psychology, the capability of natural organisms to learn from the observation/interaction with conspecifics is referred to as social learning. Roboticists have recently developed an interest in social learning, since it might represent an effective strategy to enhance the adaptivity of a team of autonomous robots. In this study, we show that a methodological approach based on artifcial neural networks shaped by evolutionary computation techniques can be successfully employed to synthesise the individual and social learning mechanisms for robots required to learn a desired action (i.e. phototaxis or antiphototaxis).

The Effects of Brain Based Learning Approach on Motivation and Students Achievement in Mathematics Learning

NASA Astrophysics Data System (ADS)

Mekarina, M.; Ningsih, Y. P.

2017-09-01

This classroom action research is based by the facts that the students motivation and achievement mathematics learning is less. One of the factors causing is learning that does not provide flexibility to students to empower the potential of the brain optimally. The aim of this research was to improve the student motivation and achievement in mathematics learning by implementing brain based learning approach. The subject of this research was student of grade XI in senior high school. The research consisted of two cycles. Data of student achievement from test, and the student motivation through questionnaire. Furthermore, the finding of this research showed the result of the analysis was the implementation of brain based learning approach can improve student’s achievement and motivation in mathematics learning.

ICT, Professional Learning: Towards Communities of Practice

ERIC Educational Resources Information Center

Webb, Ivan; Robertson, Margaret; Fluck, Andrew

2005-01-01

This article reports on findings from "action research" pilot projects in four Tasmanian primary schools. The projects focused on the provision of professional learning to support the use of information and communication technology (ICT) in teaching and learning. These pilot projects used an approach developed from observations of…

Action Learning: a new method to increase tractor rollover protective structure (ROPS) adoption.

PubMed

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.

Action Learning: A New Method to Increase Tractor Rollover Protective Structure (ROPS) Adoption

PubMed Central

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

Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding

PubMed Central

Huys, Quentin J. M.; Cools, Roshan; Gölzer, Martin; Friedel, Eva; Heinz, Andreas; Dolan, Raymond J.; Dayan, Peter

2011-01-01

Hard-wired, Pavlovian, responses elicited by predictions of rewards and punishments exert significant benevolent and malevolent influences over instrumentally-appropriate actions. These influences come in two main groups, defined along anatomical, pharmacological, behavioural and functional lines. Investigations of the influences have so far concentrated on the groups as a whole; here we take the critical step of looking inside each group, using a detailed reinforcement learning model to distinguish effects to do with value, specific actions, and general activation or inhibition. We show a high degree of sophistication in Pavlovian influences, with appetitive Pavlovian stimuli specifically promoting approach and inhibiting withdrawal, and aversive Pavlovian stimuli promoting withdrawal and inhibiting approach. These influences account for differences in the instrumental performance of approach and withdrawal behaviours. Finally, although losses are as informative as gains, we find that subjects neglect losses in their instrumental learning. Our findings argue for a view of the Pavlovian system as a constraint or prior, facilitating learning by alleviating computational costs that come with increased flexibility. PMID:21556131

Learning about the Effects of Development Education Programmes: Strengthening Planning, Monitoring, and Evaluation (PME) through Reflective Practice

ERIC Educational Resources Information Center

Van Ongevalle, Jan; Huyse, Huib; Van Petegem, Peter

2013-01-01

This article reports on the results of an action research project (2010-13) in which ten Belgian organizations who implement development education programmes explored different planning, monitoring, and evaluation (PME) approaches with the aim of learning more effectively about their results. PME approaches piloted included outcome mapping, most…

Teaching Handwriting to Elementary Students with Learning Disabilities: A Problem-Solving Approach

ERIC Educational Resources Information Center

Datchuk, Shawn

2015-01-01

Problems with handwriting can negatively impact the writing of students with learning disabilities. In this article, an example is provided of a fourth-grade special education teacher's efforts to assist a new student by using a problem-solving approach to help determine an efficient course of action for special education teachers who are trying…

Analysis of a Physics Teacher's Pedagogical "Micro-Actions" That Support 17-Year-Olds' Learning of Free Body Diagrams via a Modelling Approach

ERIC Educational Resources Information Center

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…

Word Learning Emerges from the Interaction of Online Referent Selection and Slow Associative Learning

ERIC Educational Resources Information Center

McMurray, Bob; Horst, Jessica S.; Samuelson, Larissa K.

2012-01-01

Classic approaches to word learning emphasize referential ambiguity: In naming situations, a novel word could refer to many possible objects, properties, actions, and so forth. To solve this, researchers have posited constraints, and inference strategies, but assume that determining the referent of a novel word is isomorphic to learning. We…

An Approach to Improving the Learning Experience for First Year Accounting Curriculum

ERIC Educational Resources Information Center

Kirkham, Ross

2013-01-01

The purpose of this paper is to present a theoretical model to address design and assessment of accounting practice sets that will enhance learning and provide clearer learning outcomes for first year accounting students. The paper explores extant literature in developing an action plan that can be followed to maximise learning outcomes for first…

The Power of Experiential Learning: A Handbook for Trainers and Educators.

ERIC Educational Resources Information Center

Beard, Colin; Wilson, John P.

Experiential learning is a client-focused, supported approach to individual, group, or organizational development, which engages the young or adult learner, using the elements of action, reflection, and transfer. This book explores the theory and practice of experiential learning as the basis for designing and delivering effective learning…

From Telling, to Teaching, towards Learning: A New Approach to Nitrogen Fertility Management of Cereals in Northern Australia.

ERIC Educational Resources Information Center

Lawrence, David; Cawley, Scott

1999-01-01

An agricultural extension workshop on nitrogen use was evaluated by 75% of Australian farmers participating. Use of action learning and adult learning principles helped make the issues presented meaningful and influenced 67% of the respondents' fertilizer decisions. (SK)

Transformative Learning in Practice: Examples from Extension Education

ERIC Educational Resources Information Center

Reichenbach, Michael R.; Muth, Allyson B.; Smith, Sanford S.

2013-01-01

Transformative learning can lead to great awareness of one's own and others' personal perspectives and result in changes in how participants understand important social issues and how they choose to take action or not. Three examples of Extension teaching that embrace transformative learning are presented: a phenomenological approach to…

Service-Learning and Interior Design: A Case Study

ERIC Educational Resources Information Center

Sterling, Mary

2007-01-01

The case study approach was used to analyze experiential learning through its three components: knowledge, action, and reflection. Two interior design courses were integrated through a university service-learning project. The restoration/adaptive reuse of a 95-year-old library building was to serve as a prototype for future off-campus…

Enabling Creative Learning Design through Semantic Technologies

ERIC Educational Resources Information Center

Charlton, Patricia; Magoulas, George; Laurillard, Diana

2012-01-01

The paper advocates an approach to learning design that considers it as creating digital artefacts that can be extended, modified and used for different purposes. This is realised through an "act becoming artefact" cycle, where users' actions in the authors' software environment, named Learning Designer, are automatically interpreted on…

Principals and Teachers as Partners in Critical, Participatory Action Research

ERIC Educational Resources Information Center

Nixon, Rhonda

2016-01-01

This article reports on a two-year study of one principal's professional learning practices in "Transform," a professional learning program in Edmonton Catholic Schools, Alberta, Canada. Transform was designed to be a bottom-up, morally-oriented professional learning approach in which principals and teachers worked as partners on…

The Kaleidoscope of Voices: An Action Research Approach to Informing Institutional e-Learning Policy

ERIC Educational Resources Information Center

Roushan, Gelareh; Holley, Debbie; Biggins, David

2016-01-01

This paper describes a two-spiral action research approach (AR) in its analysis of the experience of a British University endeavouring to change and reposition itself in the context of fast pace external change in terms of innovation. Taking the European Union (EU) 2020 digital competence framework (Ferrari 2013), with its drive to address the…

Using a Participatory Action Research Approach to Create a Universally Designed Inclusive High School Science Course: A Case Study

ERIC Educational Resources Information Center

Dymond, Stacy K.; Renzaglia, Adelle; Rosenstein, Amy; Chun, Eul Jung; Banks, Ronald A.; Niswander, Vicki; Gilson, Christie L.

2006-01-01

Case study methodology was used in combination with a participatory action research (PAR) approach to examine the process of redesigning one high school science course to incorporate the principles of Universal Design for Learning (UDL) and to promote access to the general curriculum. The participants included one general education teacher and two…

Improving "At-Action" Decision-Making in Team Sports through a Holistic Coaching Approach

ERIC Educational Resources Information Center

Light, Richard L.; Harvey, Stephen; Mouchet, Alain

2014-01-01

This article draws on Game Sense pedagogy and complex learning theory (CLT) to make suggestions for improving decision-making ability in team sports by adopting a holistic approach to coaching with a focus on decision-making "at-action". It emphasizes the complexity of decision-making and the need to focus on the game as a whole entity,…

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,…

Dopamine dependence in aggregate feedback learning: A computational cognitive neuroscience approach.

PubMed

Valentin, Vivian V; Maddox, W Todd; Ashby, F Gregory

2016-11-01

Procedural learning of skills depends on dopamine-mediated striatal plasticity. Most prior work investigated single stimulus-response procedural learning followed by feedback. However, many skills include several actions that must be performed before feedback is available. A new procedural-learning task is developed in which three independent and successive unsupervised categorization responses receive aggregate feedback indicating either that all three responses were correct, or at least one response was incorrect. Experiment 1 showed superior learning of stimuli in position 3, and that learning in the first two positions was initially compromised, and then recovered. An extensive theoretical analysis that used parameter space partitioning found that a large class of procedural-learning models, which predict propagation of dopamine release from feedback to stimuli, and/or an eligibility trace, fail to fully account for these data. The analysis also suggested that any dopamine released to the second or third stimulus impaired categorization learning in the first and second positions. A second experiment tested and confirmed a novel prediction of this large class of procedural-learning models that if the to-be-learned actions are introduced one-by-one in succession then learning is much better if training begins with the first action (and works forwards) than if it begins with the last action (and works backwards). Copyright © 2016 Elsevier Inc. All rights reserved.

Adopting a Blended Learning Approach: Challenges Encountered and Lessons Learned in an Action Research Study

ERIC Educational Resources Information Center

Kenney, Jane; Newcombe, Ellen

2011-01-01

Adopting a new teaching approach is often a daunting task especially if one is an early adopter in a limited-resource environment. This article describes the challenges encountered and the strategies used in pilot testing a blended instructional method in a large size class within the college of education at a medium-sized university. The main…

Agent Reward Shaping for Alleviating Traffic Congestion

NASA Technical Reports Server (NTRS)

Tumer, Kagan; Agogino, Adrian

2006-01-01

Traffic congestion problems provide a unique environment to study how multi-agent systems promote desired system level behavior. What is particularly interesting in this class of problems is that no individual action is intrinsically "bad" for the system but that combinations of actions among agents lead to undesirable outcomes, As a consequence, agents need to learn how to coordinate their actions with those of other agents, rather than learn a particular set of "good" actions. This problem is ubiquitous in various traffic problems, including selecting departure times for commuters, routes for airlines, and paths for data routers. In this paper we present a multi-agent approach to two traffic problems, where far each driver, an agent selects the most suitable action using reinforcement learning. The agent rewards are based on concepts from collectives and aim to provide the agents with rewards that are both easy to learn and that if learned, lead to good system level behavior. In the first problem, we study how agents learn the best departure times of drivers in a daily commuting environment and how following those departure times alleviates congestion. In the second problem, we study how agents learn to select desirable routes to improve traffic flow and minimize delays for. all drivers.. In both sets of experiments,. agents using collective-based rewards produced near optimal performance (93-96% of optimal) whereas agents using system rewards (63-68%) barely outperformed random action selection (62-64%) and agents using local rewards (48-72%) performed worse than random in some instances.

Applying the Scholarship of Teaching and Learning: Student Perceptions, Behaviours and Success Online and Face-to-Face

ERIC Educational Resources Information Center

Horspool, Agi; Lange, Carsten

2012-01-01

This study compares student perceptions, learning behaviours and success in online and face-to-face versions of a Principles of Microeconomics course. It follows a Scholarship of Teaching and Learning (SoTL) approach by using a cycle of empirical analysis, reflection and action to improve the learning experience for students. The online course…

Experience, Trajectories, and Reifications: An Emerging Framework of Practice-Based Learning in Healthcare Workplaces

ERIC Educational Resources Information Center

Teunissen, Pim W.

2015-01-01

Learning by working is omnipresent in healthcare education. It enables people to learn how to perform, think, and interact in ways that work for their specific context. In this paper, I review my approach to studying this process. It centers on the question why healthcare professionals do what they do and how their actions and learning are…

Beyond Book Learning: Cultivating the Pedagogy of Experience through Field Trips.

ERIC Educational Resources Information Center

Jakubowski, Lisa Marie

2003-01-01

A pedagogy of experience can be cultivated by using a critically responsive approach based on experience, critical thinking, reflection, and action. A service-learning field trip to Cuba illustrates how experiential learning can bring classroom and community together in a way that invites students to engage in meaningful, active forms of learning…

Facilitating Conversational Learning in a Project Team Practice

ERIC Educational Resources Information Center

Sense, Andrew J.

2005-01-01

Purpose: This paper seeks to provide an empirical insight into the facilitation dilemmas for conversational learning in a project team environment. Design/methodology/approach: This paper is an outcome of a participative action research process into the dynamics of situated learning activity in a case study project team. As part of their…

Professionalizing action research--a meaningful strategy for modernizing services?

PubMed

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 application indicates the value of professionalizing action research as a process for modernization. The strength of the approach lies in the opportunity for team learning and change which is grounded in the context of services and pursued through collaboration.

Untrained Chimpanzees (Pan troglodytes schweinfurthii) Fail to Imitate Novel Actions

PubMed Central

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

Emergence: Complexity Pedagogy in Action

PubMed Central

Jonas-Simpson, Christine

2015-01-01

Many educators are looking for new ways to engage students and each other in order to enrich curriculum and the teaching-learning process. We describe an example of how we enacted teaching-learning approaches through the insights of complexity thinking, an approach that supports the emergence of new possibilities for teaching-learning in the classroom and online. Our story begins with an occasion to meet with 10 nursing colleagues in a three-hour workshop using four activities that engaged learning about complexity thinking and pedagogy. Guiding concepts for the collaborative workshop were nonlinearity, distributed decision-making, divergent thinking, self-organization, emergence, and creative exploration. The workshop approach considered critical questions to spark our collective inquiry. We asked, “What is emergent learning?” and “How do we, as educators and learners, engage a community so that new learning surfaces?” We integrated the arts, creative play, and perturbations within a complexity approach. PMID:25838945

Student beliefs and learning environments: Developing a survey of factors related to conceptual change

NASA Astrophysics Data System (ADS)

Hanrahan, Mary

1994-12-01

This paper presents a model for the type of classroom environment believed to facilitate scientific conceptual change. A survey based on this model contains items about students' motivational beliefs, their study approach and their perceptions of their teacher's actions and learning goal orientation. Results obtained from factor analyses, correlations and analyses of variance, based on responses from 113 students, suggest that an empowering interpersonal teacher-student relationship is related to a deep approach to learning, a positive attitude to science, and positive self-efficacy beliefs, and may be increased by a constructivist approach to teaching.

Aphasia therapy on a neuroscience basis

PubMed Central

Pulvermüller, Friedemann; Berthier, Marcelo L.

2008-01-01

Background Brain research has documented that the cortical mechanisms for language and action are tightly interwoven and, concurrently, new approaches to language therapy in neurological patients are being developed that implement language training in the context of relevant linguistic and non-linguistic actions, therefore taking advantage of the mutual connections of language and action systems in the brain. A further well-known neuroscience principle is that learning at the neuronal level is driven by correlation; consequently, new approaches to language therapy emphasise massed practice in a short time, thus maximising therapy quantity and frequency and, therefore, correlation at the behavioural and neuronal levels. Learned non-use of unsuccessful actions plays a major role in the chronification of neurological deficits, and behavioural approaches to therapy have therefore employed shaping and other learning techniques to counteract such non-use. Aims Advances in theoretical and experimental neuroscience have important implications for clinical practice. We exemplify this in the domain of aphasia rehabilitation. Main Contribution Whereas classical wisdom had been that aphasia cannot be significantly improved at a chronic stage, we here review evidence that one type of intensive language-action therapy (ILAT)—constraint-induced aphasia therapy—led to significant improvement of language performance in patients with chronic aphasia. We discuss perspectives for further improving speech-language therapy, including drug treatment that may be particularly fruitful when applied in conjunction with behavioural treatment. In a final section we highlight intensive and rapid therapy studies in chronic aphasia as a unique tool for exploring the cortical reorganisation of language. Conclusions We conclude that intensive language action therapy is an efficient tool for improving language functions even at chronic stages of aphasia. Therapy studies using this technique can open new perspectives for research into the plasticity of human language circuits. PMID:18923644

Action video game play facilitates the development of better perceptual templates.

PubMed

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.

Action video game play facilitates the development of better perceptual templates

PubMed Central

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

People's Participation and Action Research in Community Development: Experiences from Nicaragua.

ERIC Educational Resources Information Center

Lammerink, Marc P.

1994-01-01

Describes projects of the School of Social Work at Central America University, Nicaragua: (1) development of a postgraduate course for professionals; (2) discovery learning and participatory action research in a fishing village; and (3) application of participatory approaches to rural development. (SK)

Context transfer in reinforcement learning using action-value functions.

PubMed

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.

Context Transfer in Reinforcement Learning Using Action-Value Functions

PubMed Central

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

Too Good to be True? Ideomotor Theory from a Computational Perspective

PubMed Central

Herbort, Oliver; Butz, Martin V.

2012-01-01

In recent years, Ideomotor Theory has regained widespread attention and sparked the development of a number of theories on goal-directed behavior and learning. However, there are two issues with previous studies’ use of Ideomotor Theory. Although Ideomotor Theory is seen as very general, it is often studied in settings that are considerably more simplistic than most natural situations. Moreover, Ideomotor Theory’s claim that effect anticipations directly trigger actions and that action-effect learning is based on the formation of direct action-effect associations is hard to address empirically. We address these points from a computational perspective. A simple computational model of Ideomotor Theory was tested in tasks with different degrees of complexity. The model evaluation showed that Ideomotor Theory is a computationally feasible approach for understanding efficient action-effect learning for goal-directed behavior if the following preconditions are met: (1) The range of potential actions and effects has to be restricted. (2) Effects have to follow actions within a short time window. (3) Actions have to be simple and may not require sequencing. The first two preconditions also limit human performance and thus support Ideomotor Theory. The last precondition can be circumvented by extending the model with more complex, indirect action generation processes. In conclusion, we suggest that Ideomotor Theory offers a comprehensive framework to understand action-effect learning. However, we also suggest that additional processes may mediate the conversion of effect anticipations into actions in many situations. PMID:23162524

Managerial Action and Sensemaking in E-Learning Implementation in Brazilian Business Schools

ERIC Educational Resources Information Center

de Freitas, Angilberto Sabino; Bandeira-de-Mello, Rodrigo

2012-01-01

The existing literature on e-learning implementation is either descriptive or normative and falls short on explaining how managers act in introducing and disseminating e-learning projects in school settings. In this paper, we follow a symbolic approach in order to offer a grounded model for explaining how managerial framing of the introduction of…

Strategic Steps to Successful Service-Learning in TESOL: From Critical to Practical

ERIC Educational Resources Information Center

Perren, James

2013-01-01

The purpose of this article is to share pedagogical materials and activities which can help TESOL practitioners prepare service-learning activities inside and outside the classroom. This study utilizes action research tools to improve academic service-learning in TESOL as a holistic approach to problem solving rather than a single method for…

Learning as discourse change: A sociocultural mechanism

NASA Astrophysics Data System (ADS)

Wickman, Per-Olof; Östman, Leif

2002-09-01

This paper deals with a theoretical mechanism for learning and a methodological approach for analyzing meaning making in classroom talk and action. It examines the potential of the approach for illuminating learning on a discursive level, i.e., how discourses change and how individuals become participants of new practices. Our approach involves a high-resolution analysis of how meaningful relations are built in encounters between individuals and between individuals and the world. The approach is based mainly on the work of the later Wittgenstein, but also on pragmatism and sociocultural research. To demonstrate how our approach can be used, we analyze what university students learn during a practical on insects. We specifically demonstrate how the encounters with physical pinned insects contribute to the meaning students make and how these encounters interact with other experiences during laboratory work.

Strengthening the evidence and action on multi-sectoral partnerships in public health: an action research initiative

PubMed Central

Willis, C. D.; Greene, J. K.; Abramowicz, A.; Riley, B. L.

2016-01-01

Abstract Introduction: The Public Health Agency of Canada’s Multi-sectoral Partnerships Initiative, administered by the Centre for Chronic Disease Prevention (CCDP), brings together diverse partners to design, implement and advance innovative approaches for improving population health. This article describes the development and initial priorities of an action research project (a learning and improvement strategy) that aims to facilitate continuous improvement of the CCDP’s partnership initiative and contribute to the evidence on multi-sectoral partnerships. Methods: The learning and improvement strategy for the CCDP’s multi-sectoral partnership initiative was informed by (1) consultations with CCDP staff and senior management, and (2) a review of conceptual frameworks to do with multi-sectoral partnerships. Consultations explored the development of the multi-sectoral initiative, barriers and facilitators to success, and markers of effectiveness. Published and grey literature was reviewed using a systematic search strategy with findings synthesized using a narrative approach. Results: Consultations and the review highlighted the importance of understanding partnership impacts, developing a shared vision, implementing a shared measurement system and creating opportunities for knowledge exchange. With that in mind, we propose a six-component learning and improvement strategy that involves (1) prioritizing learning needs, (2) mapping needs to evidence, (3) using relevant data-collection methods, (4) analyzing and synthesizing data, (5) feeding data back to CCDP staff and teams and (6) taking action. Initial learning needs include investigating partnership reach and the unanticipated effects of multi-sectoral partnerships for individuals, groups, organizations or communities. Conclusion: While the CCDP is the primary audience for the learning and improvement strategy, it may prove useful for a range of audiences, including other government departments and external organizations interested in capturing and sharing new knowledge generated from multi-sectoral partnerships. PMID:27284702

Outdoor Experiences and Sustainability

ERIC Educational Resources Information Center

Prince, Heather E.

2017-01-01

Positive outdoor teaching and learning experiences and sound pedagogical approaches undoubtedly have contributed towards an understanding of environmental sustainability but it is not always clear how, and to what extent, education can translate into action. This article argues, with reference to social learning theory, that role modelling,…

Action research and millennials: Improving pedagogical approaches to encourage critical thinking.

PubMed

Erlam, Gwen; Smythe, Liz; Wright-St Clair, Valerie

2018-02-01

This article examines the effects of intergenerational diversity on pedagogical practice in nursing education. While generational cohorts are not entirely homogenous, certain generational features do emerge. These features may require alternative approaches in educational design in order to maximize learning for millennial students. Action research is employed with undergraduate millennial nursing students (n=161) who are co-researchers in that they are asked for changes in current simulation environments which will improve their learning in the areas of knowledge acquisition, skill development, critical thinking, and communication. These changes are put into place and a re-evaluation of the effectiveness of simulation progresses through three action cycles. Millennials, due to a tendency for risk aversion, may gravitate towards more supportive learning environments which allow for free access to educators. This tendency is mitigated by the educator modeling expected behaviors, followed by student opportunity to repeat the behavior. Millennials tend to prefer to work in teams, see tangible improvement, and employ strategies to improve inter-professional communication. This research highlights the need for nurse educators working in simulation to engage in critical discourse regarding the adequacy and effectiveness of current pedagogy informing simulation design. Pedagogical approaches which maximize repetition, modeling, immersive feedback, and effective communication tend to be favored by millennial students. Copyright © 2017 Elsevier Ltd. All rights reserved.

A Call to Action for Research in Digital Learning: Learning without Limits of Time, Place, Path, Pace…or Evidence

ERIC Educational Resources Information Center

Cavanaugh, Cathy; Sessums, Christopher; Drexler, Wendy

2015-01-01

This essay is a call for rethinking our approach to research in digital learning. It plots a path founded in social trends and advances in education. A brief review of these trends and advances is followed by discussion of what flattened research might look like at scale. Scaling research in digital learning is crucial to advancing understanding…

Experience-Sampling Research Methods and Their Potential for Education Research

ERIC Educational Resources Information Center

Zirkel, Sabrina; Garcia, Julie A.; Murphy, Mary C.

2015-01-01

Experience-sampling methods (ESM) enable us to learn about individuals' lives in context by measuring participants' feelings, thoughts, actions, context, and/or activities as they go about their daily lives. By capturing experience, affect, and action "in the moment" and with repeated measures, ESM approaches allow researchers…

Inter-Professional Collaboration in Action Research

ERIC Educational Resources Information Center

Leeman, Yvonne; van Koeven, Erna; Schaafsma, Frank

2018-01-01

This article describes an example of inter-professional action research conducted by teachers and university-based researchers/teacher educators in a vocational college in the Netherlands. The research was aimed at the professional learning of the teachers on their pedagogical approach to a new curriculum initiative. Despite a difficult context in…

Carrying Out Collaborative Action Research in a Practicum

ERIC Educational Resources Information Center

Ho, Belinda

2013-01-01

To help in-service English teachers improve their teaching practices and pupils' learning opportunities through an enquiry-oriented and cooperative approach, the author carried out collaborative action research during a practicum in a teacher education course at a university in Hong Kong. This article describes how the collaborative research…

Analysis of the Problems in Language Teachers' Action Research

ERIC Educational Resources Information Center

Han, Ligang

2017-01-01

In-service language teachers' professional development is a crucial factor that influences the teaching and learning effectiveness. Educational action research is considered by many researchers and scholars as an effective way or approach for language teachers' professional development. This article reports a case study of in-service English…

From Theory to Action: Learning Shifts into High Gear with Structured Supports

ERIC Educational Resources Information Center

Anderson, Andrea; Steffen, Beth; Wiese, Chad; King, M. Bruce

2014-01-01

While teachers face new expectations for student learning and more equitable educational outcomes, instruction and assessment remain rooted in traditional approaches that are largely inequitable, culturally irrelevant, and intellectually disengaging, contributing to gaps in academic achievement across student groups (Darling-Hammond, 2010; King…

A Didactic Analysis of Content Development during Cooperative Learning in Primary Physical Education

ERIC Educational Resources Information Center

Wallhead, Tristan; Dyson, Ben

2017-01-01

The purpose of this study was to use the Joint Action Studies in Didactics (JASD) to understand how teachers' and students' interactions co-construct knowledge during Cooperative Learning (CL). The basis of CL is that students learn with and from each other through a structured interdependent relationship. A case study approach was used to examine…

An Action Research Approach to the Design, Development and Evaluation of an Interactive E-Learning Tutorial in a Cognitive Domain

ERIC Educational Resources Information Center

de Villiers, M. Ruth

2007-01-01

The teaching and learning of a complex section in "Theoretical Computer Science 1" in a distance-education context at the University of South Africa (UNISA) has been enhanced by a supplementary e-learning application called "Relations," which interactively teaches mathematical skills in a cognitive domain. It has tutorial and…

Mixing Face-to-Face and Online Interactions in a Leadership Development Programme: A Blended Action Learning Approach

ERIC Educational Resources Information Center

Thornton, Kate; Yoong, Pak

2011-01-01

The purpose of this research was to explore the use of ICT to support leadership learning within an education context. Leadership development opportunities that encourage reflection, the development of self-awareness, the sharing of practice, and that support the transfer of learning back to the workplace are challenging to fit into the life of…

Improving pedagogic competence using an e-learning approach for pre-service mathematics teachers

NASA Astrophysics Data System (ADS)

Retnowati, E.; Murdiyani, N. M.; Marsigit; Sugiman; Mahmudi, A.

2018-03-01

This article reported a classroom action research that was aimed to improve student’s pedagogic competence during a course namely Methods of Mathematics Instruction. An asynchronous e-learning approach was provided as supplementary material to the main lecture. This e-learning consisted of selected references and educational website addresses and also facilitated online discussions about various methods of mathematics instructions. The subject was twenty-six pre-service teachers in the Department of Mathematics Education, Yogyakarta State University, Indonesia, conducted by the researchers. The research completed three cycles, where each cycle consisted of plan-action-reflection. Through observation, documentation, and interview, it was concluded that asynchronous e-learning might be used to improve pedagogic competence when direct instruction is also applied in the classroom. Direct instruction in this study provided review, explanation, scheme, and examples which could be used by students to select relevant resources in the e-learning portal. Moreover, the pedagogic competence improved after students accomplished assignments to identify aspects of pedagogic instruction either from analyzing videos in e-learning course or simulating in the classroom with direct commentaries. Supporting factors were enthusiasm, discipline, and interactions among students and lecturer that were built throughout the lectures.

What's the Matter with Food?: A Hands-On Action Research Study on the Effect of Using Food Preparation To Teach Students with Autism about the Three States of Matter

NASA Astrophysics Data System (ADS)

Diller, Nicole

This investigation studied the effectiveness of using food preparation to teach students with Autism about the three states of matter. A hands-on learning approach was used within the home and careers classroom. One class of five students, three boys and two girls, all diagnosed with Autism, participated in a five day academic unit about the three phases of matter: solid, liquid, and gas. The class received hands-on learning science instruction using food through various differentiated activities. Results indicate that students express focus when using food to learn. In addition, this study acknowledges that hands-on learning in science enhances the learning process of students with Autism. One of the main reasons is that students enjoy learning when this teaching style is used in the classroom, and students that enjoy what they are learning are more likely to be engaged and motivated to learn. After using this approach, all the students in the study increased their scores from the pre-assessments to the post-assessments. Students expressed through actions and words that they enjoyed using hands-on experiences to learn in the classroom. Implications for practice indicate that a variety of manipulatives are needed to teach students with Autism. Future research would help uncover additional information about student motivation and learning in the home and careers classroom.

Supporting clinical leadership through action: The nurse consultant role.

PubMed

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.

Community-Based Research: From Practice to Theory and Back Again.

ERIC Educational Resources Information Center

Stoecker, Randy

2003-01-01

Explores the theoretical strands being combined in community-based research--charity service learning, social justice service learning, action research, and participatory research. Shows how different models of community-based research, based in different theories of society and different approaches to community work, may combine or conflict. (EV)

Factors That Influence Faculty Adoption of Learning-Centered Approaches

ERIC Educational Resources Information Center

Blumberg, Phyllis

2016-01-01

This article proposes a recommended course of action for faculty development based upon Rogers' theory of Diffusion of Innovations and data collected in a study looking at the prevalence of use of learning-centered teaching practices. Specific faculty development strategies are aligned with Rogers' factors influencing decisions to adopt…

Formative Assessment Design for PDA Integrated Ecology Observation

ERIC Educational Resources Information Center

Hung, Pi-Hsia; Lin, Yu-Fen; Hwang, Gwo-Jen

2010-01-01

Ubiquitous computing and mobile technologies provide a new perspective for designing innovative outdoor learning experiences. The purpose of this study is to propose a formative assessment design for integrating PDAs into ecology observations. Three learning activities were conducted in this study. An action research approach was applied to…

The Cultural Approach to Studying Schools

ERIC Educational Resources Information Center

Appalachia Educational Laboratory at Edvantia (NJ1), 2005

2005-01-01

This paper presents key concepts from the theoretical literature on organizational change and school learning cultures. It concludes with eight actions school leaders can take to help school communities develop or enhance learning cultures that are receptive to change. [This report is based on a literature review by Albert J. Boerema.

A Phenomenological Approach to Understanding Minority Student Engagement with the University through Service Learning Courses

ERIC Educational Resources Information Center

Withrow, Jennifer

2017-01-01

This phenomenological action research study examined the experiences of minority students who participated in service learning activities at Northern Kentucky University. Five individual interviews were completed with students, consisting of undergraduate, graduate, and university alumni. Interviews uncovered five overarching themes. The five…

Partnering for Real World Learning, Sustainability, Tourism Education

ERIC Educational Resources Information Center

Jennings, Gayle; Cater, Carl I.; Hales, Rob; Kensbock, Sandra; Hornby, Glen

2015-01-01

Purpose: The purpose of this article is to study how real world learning was used to engender and enhance sustainability principles and practices with 11 micro-, small- and medium-tourism business enterprises and 101 university tourism students enrolled across three university courses. Design/methodology/approach: Action research processes were…

Pre-Service Teachers' Aesthetic Learning about Inclusion and Exclusion

ERIC Educational Resources Information Center

Gedžune, Ginta; Gedžune, Inga

2015-01-01

Purpose: This paper aims to contribute to the body of practical knowledge about reorienting teacher education to address sustainability by reflecting on an action research experience from a study course on sustainability in a regional university. Design/methodology/approach: It contemplates the usage of aesthetic learning to activate pre-service…

The Impact of ICT on Learning On-the-Job

ERIC Educational Resources Information Center

Hortovanyi, Lilla; Ferincz, Adrienn

2015-01-01

Purpose: The purpose of this paper is to analyse the relationship between on-the-job learning and information and communication technology (ICT). Design/methodology/approach: Action research methodology was applied to study 62 small- and medium-sized corporations, and to interview over 200 knowledge workers and managers. The qualitative, textual…

Developmental Approach for Behavior Learning Using Primitive Motion Skills.

PubMed

Dawood, Farhan; Loo, Chu Kiong

2018-05-01

Imitation learning through self-exploration is essential in developing sensorimotor skills. Most developmental theories emphasize that social interactions, especially understanding of observed actions, could be first achieved through imitation, yet the discussion on the origin of primitive imitative abilities is often neglected, referring instead to the possibility of its innateness. This paper presents a developmental model of imitation learning based on the hypothesis that humanoid robot acquires imitative abilities as induced by sensorimotor associative learning through self-exploration. In designing such learning system, several key issues will be addressed: automatic segmentation of the observed actions into motion primitives using raw images acquired from the camera without requiring any kinematic model; incremental learning of spatio-temporal motion sequences to dynamically generates a topological structure in a self-stabilizing manner; organization of the learned data for easy and efficient retrieval using a dynamic associative memory; and utilizing segmented motion primitives to generate complex behavior by the combining these motion primitives. In our experiment, the self-posture is acquired through observing the image of its own body posture while performing the action in front of a mirror through body babbling. The complete architecture was evaluated by simulation and real robot experiments performed on DARwIn-OP humanoid robot.

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.

Community-Involved Learning to Expand Possibilities for Vulnerable Children: A Critical Communicative, Sen's Capability, and Action Research Approach

ERIC Educational Resources Information Center

Kim, Kyung Hi

2014-01-01

This research, based on a case study of vulnerable children in Korea, used a mixed methods transformative approach to explore strategies to support and help disadvantaged children. The methodological approach includes three phases: a mixed methods contextual analysis, a qualitative dominant analysis based on Sen's capability approach and critical…

Projective simulation for artificial intelligence

NASA Astrophysics Data System (ADS)

Briegel, Hans J.; de Las Cuevas, Gemma

2012-05-01

We propose a model of a learning agent whose interaction with the environment is governed by a simulation-based projection, which allows the agent to project itself into future situations before it takes real action. Projective simulation is based on a random walk through a network of clips, which are elementary patches of episodic memory. The network of clips changes dynamically, both due to new perceptual input and due to certain compositional principles of the simulation process. During simulation, the clips are screened for specific features which trigger factual action of the agent. The scheme is different from other, computational, notions of simulation, and it provides a new element in an embodied cognitive science approach to intelligent action and learning. Our model provides a natural route for generalization to quantum-mechanical operation and connects the fields of reinforcement learning and quantum computation.

Projective simulation for artificial intelligence

PubMed Central

Briegel, Hans J.; De las Cuevas, Gemma

2012-01-01

We propose a model of a learning agent whose interaction with the environment is governed by a simulation-based projection, which allows the agent to project itself into future situations before it takes real action. Projective simulation is based on a random walk through a network of clips, which are elementary patches of episodic memory. The network of clips changes dynamically, both due to new perceptual input and due to certain compositional principles of the simulation process. During simulation, the clips are screened for specific features which trigger factual action of the agent. The scheme is different from other, computational, notions of simulation, and it provides a new element in an embodied cognitive science approach to intelligent action and learning. Our model provides a natural route for generalization to quantum-mechanical operation and connects the fields of reinforcement learning and quantum computation. PMID:22590690

Constructing Temporally Extended Actions through Incremental Community Detection

PubMed Central

Li, Ge

2018-01-01

Hierarchical reinforcement learning works on temporally extended actions or skills to facilitate learning. How to automatically form such abstraction is challenging, and many efforts tackle this issue in the options framework. While various approaches exist to construct options from different perspectives, few of them concentrate on options' adaptability during learning. This paper presents an algorithm to create options and enhance their quality online. Both aspects operate on detected communities of the learning environment's state transition graph. We first construct options from initial samples as the basis of online learning. Then a rule-based community revision algorithm is proposed to update graph partitions, based on which existing options can be continuously tuned. Experimental results in two problems indicate that options from initial samples may perform poorly in more complex environments, and our presented strategy can effectively improve options and get better results compared with flat reinforcement learning. PMID:29849543

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.

Self-organizing neural integration of pose-motion features for human action recognition

PubMed Central

Parisi, German I.; Weber, Cornelius; Wermter, Stefan

2015-01-01

The visual recognition of complex, articulated human movements is fundamental for a wide range of artificial systems oriented toward human-robot communication, action classification, and action-driven perception. These challenging tasks may generally involve the processing of a huge amount of visual information and learning-based mechanisms for generalizing a set of training actions and classifying new samples. To operate in natural environments, a crucial property is the efficient and robust recognition of actions, also under noisy conditions caused by, for instance, systematic sensor errors and temporarily occluded persons. Studies of the mammalian visual system and its outperforming ability to process biological motion information suggest separate neural pathways for the distinct processing of pose and motion features at multiple levels and the subsequent integration of these visual cues for action perception. We present a neurobiologically-motivated approach to achieve noise-tolerant action recognition in real time. Our model consists of self-organizing Growing When Required (GWR) networks that obtain progressively generalized representations of sensory inputs and learn inherent spatio-temporal dependencies. During the training, the GWR networks dynamically change their topological structure to better match the input space. We first extract pose and motion features from video sequences and then cluster actions in terms of prototypical pose-motion trajectories. Multi-cue trajectories from matching action frames are subsequently combined to provide action dynamics in the joint feature space. Reported experiments show that our approach outperforms previous results on a dataset of full-body actions captured with a depth sensor, and ranks among the best results for a public benchmark of domestic daily actions. PMID:26106323

Automatic imitation effects are influenced by experience of synchronous action in children.

PubMed

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.

The practical epistemologies of the classroom: A study of laboratory work

NASA Astrophysics Data System (ADS)

Wickman, Per-Olof

2004-05-01

The practical epistemologies of university students during laboratory work in chemistry are analyzed to enhance understanding of how teaching practices interact with learners. The purpose is to develop a theoretical framework of learning as action that can be used by educational researchers to examine meaning-making, but also by teachers in close association with their daily work to understand the course learning takes in their own classrooms. Here this framework is adopted to demonstrate how the sequence of learning may affect the subject content learnt. It is also demonstrated how learning can be understood in terms of habits, and how observations of such habits could be used by a teacher to inform her/his teaching. The theory of practical epistemologies is based on the later Wittgenstein, pragmatics, and sociocultural approaches identifying learning with talk, action, and habits situated in practices.

Application of Reinforcement Learning in Cognitive Radio Networks: Models and Algorithms

PubMed Central

Yau, Kok-Lim Alvin; Poh, Geong-Sen; Chien, Su Fong; Al-Rawi, Hasan A. A.

2014-01-01

Cognitive radio (CR) enables unlicensed users to exploit the underutilized spectrum in licensed spectrum whilst minimizing interference to licensed users. Reinforcement learning (RL), which is an artificial intelligence approach, has been applied to enable each unlicensed user to observe and carry out optimal actions for performance enhancement in a wide range of schemes in CR, such as dynamic channel selection and channel sensing. This paper presents new discussions of RL in the context of CR networks. It provides an extensive review on how most schemes have been approached using the traditional and enhanced RL algorithms through state, action, and reward representations. Examples of the enhancements on RL, which do not appear in the traditional RL approach, are rules and cooperative learning. This paper also reviews performance enhancements brought about by the RL algorithms and open issues. This paper aims to establish a foundation in order to spark new research interests in this area. Our discussion has been presented in a tutorial manner so that it is comprehensive to readers outside the specialty of RL and CR. PMID:24995352

Model I & II Organizations: Examining Organizational Learning in Institutions Participating in the Academy for the Assessment of Student Learning

ERIC Educational Resources Information Center

Haywood, Antwione Maurice

2012-01-01

The Academy was an assessment enhancement program created by the HLC to help institutions strengthen and improve the assessment of student learning. Using a multiple case study approach, this study applies Argyis and Schon's (1976) Theory of Action to explore the espoused values and existence of Model I and II behavior characteristics. Argyis…

Translating Knowledge into Action at the Norwegian University of Life Sciences (UMB)

ERIC Educational Resources Information Center

Lund, Trine; Francis, Charles; Pederson, Kristin; Lieblein, Geir; Rahman, Md. Hafizur

2014-01-01

Purpose: This article explores the impacts of action learning on graduates' abilities to use interdisciplinary knowledge to solve problems, practice teamwork on the job and become change agents through study in two MSc programmes at the Norwegian University of Life Sciences (UMB). Design/methodology/approach: Electronic questionnaires were sent to…

Working through the Practice Architectures of First Year University Mathematics Teaching

ERIC Educational Resources Information Center

Balatti, Jo; Belward, Shaun

2012-01-01

This paper describes how a group of university lecturers are adopting an action research approach to improve the learning experience of students in first year mathematics. Using the three categories of saying/thinking, doing, and relating (Kemmis, 2009) to explore practice, it describes the new practices of the action research team, the…

From TPACK-in-Action Workshops to Classrooms: CALL Competency Developed and Integrated

ERIC Educational Resources Information Center

Tai, Shu-Ju Diana

2015-01-01

This study investigated the impact of a CALL teacher education workshop guided by the TPACK-in-Action model (Tai, 2013). This model is framed within Technological Pedagogical Content Knowledge (TPACK, Mishra & Koehler, 2006) and advocates a learning-by-doing approach (Chapelle & Hegelheimer, 2004) to understand how English teachers develop…

An Action Research Project: Development of a Pre-Licensure Examination Review Course for Emergency Medical Technician Program Graduates at a Rural Community College

ERIC Educational Resources Information Center

Boucher, Daryl

2013-01-01

This action research project examined how "Efficiency in Learning" ("EL") strategies, "Appreciative Inquiry" ("AI") and the "Interactive Model of Program Planning" ("IMPP") could be used to discern the content and preferred pedagogical approaches in the development of a pre-licensure…

Action Research. Case Studies in TESOL Practice Series.

ERIC Educational Resources Information Center

Edge, Julian, Ed.

Chapter titles in this book include the following: "Attitude and Access: Building a New Teaching/Learning Community in TESOL" (Julian Edge); "Here It Is, Rough Though It May Be: Basic Computer for ESL" (Alison Perkins); "An 'It's Not Action Research Yet, but I'm Getting There' Approach to Teaching Writing" (Neil Cowie); "Early Reflections:…

Discriminative Bayesian Dictionary Learning for Classification.

PubMed

Akhtar, Naveed; Shafait, Faisal; Mian, Ajmal

2016-12-01

We propose a Bayesian approach to learn discriminative dictionaries for sparse representation of data. The proposed approach infers probability distributions over the atoms of a discriminative dictionary using a finite approximation of Beta Process. It also computes sets of Bernoulli distributions that associate class labels to the learned dictionary atoms. This association signifies the selection probabilities of the dictionary atoms in the expansion of class-specific data. Furthermore, the non-parametric character of the proposed approach allows it to infer the correct size of the dictionary. We exploit the aforementioned Bernoulli distributions in separately learning a linear classifier. The classifier uses the same hierarchical Bayesian model as the dictionary, which we present along the analytical inference solution for Gibbs sampling. For classification, a test instance is first sparsely encoded over the learned dictionary and the codes are fed to the classifier. We performed experiments for face and action recognition; and object and scene-category classification using five public datasets and compared the results with state-of-the-art discriminative sparse representation approaches. Experiments show that the proposed Bayesian approach consistently outperforms the existing approaches.

The emergence of learning-teaching trajectories in education: a complex dynamic systems approach.

PubMed

Steenbeek, Henderien; van Geert, Paul

2013-04-01

In this article we shall focus on learning-teaching trajectories ='successful' as well as 'unsuccessful' ones - as emergent and dynamic phenomena resulting from the interactions in the entire educational context, in particular the interaction between students and teachers viewed as processes of intertwining self-, other- and co-regulation. The article provides a review of the educational research literature on action regulation in learning and teaching, and interprets this literature in light of the theory of complex dynamic systems. Based on this reinterpretation of the literature, two dynamic models are proposed, one focusing on the short-term dynamics of learning-teaching interactions as they take place in classrooms, the other focusing on the long-term dynamics of interactions in a network of variables encompassing concerns, evaluations, actions and action effects (such as learning) students and teachers. The aim of presenting these models is to demonstrate, first, the possibility of transforming existing educational theory into dynamic models and, second, to provide some suggestions as to how such models can be used to further educational theory and practice.

A dichoptic custom-made action video game as a treatment for adult amblyopia.

PubMed

Vedamurthy, Indu; Nahum, Mor; Huang, Samuel J; Zheng, Frank; Bayliss, Jessica; Bavelier, Daphne; Levi, Dennis M

2015-09-01

Previous studies have employed different experimental approaches to enhance visual function in adults with amblyopia including perceptual learning, videogame play, and dichoptic training. Here, we evaluated the efficacy of a novel dichoptic action videogame combining all three approaches. This experimental intervention was compared to a conventional, yet unstudied method of supervised occlusion while watching movies. Adults with unilateral amblyopia were assigned to either play the dichoptic action game (n=23; 'game' group), or to watch movies monocularly while the fellow eye was patched (n=15; 'movies' group) for a total of 40hours. Following training, visual acuity (VA) improved on average by ≈0.14logMAR (≈28%) in the game group, with improvements noted in both anisometropic and strabismic patients. This improvement is similar to that obtained following perceptual learning, video game play or dichoptic training. Surprisingly, patients with anisometropic amblyopia in the movies group showed similar improvement, revealing a greater impact of supervised occlusion in adults than typically thought. Stereoacuity, reading speed, and contrast sensitivity improved more for game group participants compared with movies group participants. Most improvements were largely retained following a 2-month no-contact period. This novel video game, which combines action gaming, perceptual learning and dichoptic presentation, results in VA improvements equivalent to those previously documented with each of these techniques alone. Our game intervention led to greater improvement than control training in a variety of visual functions, thus suggesting that this approach has promise for the treatment of adult amblyopia. Copyright © 2015 Elsevier Ltd. All rights reserved.

A dichoptic custom-made action video game as a treatment for adult amblyopia

PubMed Central

Vedamurthy, Indu; Nahum, Mor; Huang, Samuel J.; Zheng, Frank; Bayliss, Jessica; Bavelier, Daphne; Levi, Dennis M.

2015-01-01

Previous studies have employed different experimental approaches to enhance visual function in adults with amblyopia including perceptual learning, videogame play, and dichoptic training. Here, we evaluated the efficacy of a novel dichoptic action videogame combining all three approaches. This experimental intervention was compared to a conventional, yet unstudied method of supervised occlusion while watching movies. Adults with unilateral amblyopia were assigned to either playing the dichoptic action game (n = 23; ‘game’ group), or to watching movies monocularly while the fellow eye was patched (n = 15; ‘movies’ group) for a total of 40 h. Following training, visual acuity (VA) improved on average by ≈0.14 logMAR (≈27%) in the game group, with improvements noted in both anisometropic and strabismic patients. This improvement is similar to that described after perceptual learning, video game play or dichoptic training. Surprisingly, patients with anisometropic amblyopia in the movies group showed similar improvement, revealing a greater impact of supervised occlusion in adults than typically thought. Stereoacuity, reading speed, and contrast sensitivity improved more for game group participants compared with movies group participants. Most improvements were largely retained following a 2-month no-contact period. This novel video game, which combines action gaming, perceptual learning and dichoptic presentation, results in VA improvements equivalent to those previously documented with each of these techniques alone. Interestingly, however, our game intervention led to greater improvement than control training in a variety of visual functions, thus suggesting that this approach has promise for the treatment of adult amblyopia. PMID:25917239

Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach.

PubMed

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.

The Coordination Dynamics of Observational Learning: Relative Motion Direction and Relative Phase as Informational Content Linking Action-Perception to Action-Production.

PubMed

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.

Differential dependence of Pavlovian incentive motivation and instrumental incentive learning processes on dopamine signaling

PubMed Central

Wassum, Kate M.; Ostlund, Sean B.; Balleine, Bernard W.; Maidment, Nigel T.

2011-01-01

Here we attempted to clarify the role of dopamine signaling in reward seeking. In Experiment 1, we assessed the effects of the dopamine D1/D2 receptor antagonist flupenthixol (0.5 mg/kg i.p.) on Pavlovian incentive motivation and found that flupenthixol blocked the ability of a conditioned stimulus to enhance both goal approach and instrumental performance (Pavlovian-to-instrumental transfer). In Experiment 2 we assessed the effects of flupenthixol on reward palatability during post-training noncontingent re-exposure to the sucrose reward in either a control 3-h or novel 23-h food-deprived state. Flupenthixol, although effective in blocking the Pavlovian goal approach, was without effect on palatability or the increase in reward palatability induced by the upshift in motivational state. This noncontingent re-exposure provided an opportunity for instrumental incentive learning, the process by which rats encode the value of a reward for use in updating reward-seeking actions. Flupenthixol administered prior to the instrumental incentive learning opportunity did not affect the increase in subsequent off-drug reward-seeking actions induced by that experience. These data suggest that although dopamine signaling is necessary for Pavlovian incentive motivation, it is not necessary for changes in reward experience, or for the instrumental incentive learning process that translates this experience into the incentive value used to drive reward-seeking actions, and provide further evidence that Pavlovian and instrumental incentive learning processes are dissociable. PMID:21693635

Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective

PubMed Central

Botvinick, Matthew M.; Niv, Yael; Barto, Andrew C.

2009-01-01

Research on human and animal behavior has long emphasized its hierarchical structure — the divisibility of ongoing behavior into discrete tasks, which are comprised of subtask sequences, which in turn are built of simple actions. The hierarchical structure of behavior has also been of enduring interest within neuroscience, where it has been widely considered to reflect prefrontal cortical functions. In this paper, we reexamine behavioral hierarchy and its neural substrates from the point of view of recent developments in computational reinforcement learning. Specifically, we consider a set of approaches known collectively as hierarchical reinforcement learning, which extend the reinforcement learning paradigm by allowing the learning agent to aggregate actions into reusable subroutines or skills. A close look at the components of hierarchical reinforcement learning suggests how they might map onto neural structures, in particular regions within the dorsolateral and orbital prefrontal cortex. It also suggests specific ways in which hierarchical reinforcement learning might provide a complement to existing psychological models of hierarchically structured behavior. A particularly important question that hierarchical reinforcement learning brings to the fore is that of how learning identifies new action routines that are likely to provide useful building blocks in solving a wide range of future problems. Here and at many other points, hierarchical reinforcement learning offers an appealing framework for investigating the computational and neural underpinnings of hierarchically structured behavior. PMID:18926527

Advanced, Analytic, Automated (AAA) Measurement of Engagement During Learning

PubMed Central

D’Mello, Sidney; Dieterle, Ed; Duckworth, Angela

2017-01-01

It is generally acknowledged that engagement plays a critical role in learning. Unfortunately, the study of engagement has been stymied by a lack of valid and efficient measures. We introduce the advanced, analytic, and automated (AAA) approach to measure engagement at fine-grained temporal resolutions. The AAA measurement approach is grounded in embodied theories of cognition and affect, which advocate a close coupling between thought and action. It uses machine-learned computational models to automatically infer mental states associated with engagement (e.g., interest, flow) from machine-readable behavioral and physiological signals (e.g., facial expressions, eye tracking, click-stream data) and from aspects of the environmental context. We present15 case studies that illustrate the potential of the AAA approach for measuring engagement in digital learning environments. We discuss strengths and weaknesses of the AAA approach, concluding that it has significant promise to catalyze engagement research. PMID:29038607

Advanced, Analytic, Automated (AAA) Measurement of Engagement During Learning.

PubMed

D'Mello, Sidney; Dieterle, Ed; Duckworth, Angela

2017-01-01

It is generally acknowledged that engagement plays a critical role in learning. Unfortunately, the study of engagement has been stymied by a lack of valid and efficient measures. We introduce the advanced, analytic, and automated (AAA) approach to measure engagement at fine-grained temporal resolutions. The AAA measurement approach is grounded in embodied theories of cognition and affect, which advocate a close coupling between thought and action. It uses machine-learned computational models to automatically infer mental states associated with engagement (e.g., interest, flow) from machine-readable behavioral and physiological signals (e.g., facial expressions, eye tracking, click-stream data) and from aspects of the environmental context. We present15 case studies that illustrate the potential of the AAA approach for measuring engagement in digital learning environments. We discuss strengths and weaknesses of the AAA approach, concluding that it has significant promise to catalyze engagement research.

Learning Your Kids: An Action Research Approach to Home Visits and Teacher Practice

ERIC Educational Resources Information Center

Polson, Bilal

2013-01-01

Due to demographic shifts suburban schools are having difficulty meeting the needs of students of immigrant, poor and working class families. Schools are forced with the difficult task of closing learning gaps with students who may have difficult circumstances. Literature indicates fostering a healthy home/school connection by conducting…

Learning Progressions as Evolving Tools in Joint Enterprises for Educational Improvement

ERIC Educational Resources Information Center

Penuel, William R.

2015-01-01

In their article, "Using Learning Progressions to Design Vertical Scales that Support Coherent Inferences about Student Growth," Briggs and Peck (this issue) argue that an important goal of assessment should be "to support coherent and actionable inferences of growth." They suggest that current approaches to test design rely on…

Somatic/Embodied Learning and Adult Education. Trends and Issues Alert.

ERIC Educational Resources Information Center

Kerka, Sandra

A somatic approach to education implies education that trusts individuals to learn from and listen to the information they are receiving from the interaction of self with the environment. Somatic or embodied knowing is experiential knowledge that involves senses, perceptions, and mind-body action and reaction. Western culture has been dominated by…

The Impact of Zero Tolerance Policy on Children with Disabilities

ERIC Educational Resources Information Center

Alnaim, Mariam

2018-01-01

The Zero Tolerance policy was intended to eliminate learners who are a danger to a learning institution (Henson, 2012). The development of this policy was to assist schools with better policing approaches of students conducts by employing tough disciplinary action and subsequently provide a safer learning environment. While the Zero Tolerance…

Promises to Practice: Learning a PROactive Approach to Ethical Dilemmas

ERIC Educational Resources Information Center

Ambery, Mary Elizabeth; Steinbrunner, Ruth K.

2007-01-01

Learning to be PROactive, as the title of this article suggests, means Pooling one's knowledge, Reflecting respect, and Opening oneself to action. It recognizes early childhood educators' promises to their field of practice, based on widely held beliefs and principles. Educators can apply professional ethics to everyday problem solving and their…

Propelling Students into Active Grammar Participation

ERIC Educational Resources Information Center

Jurhill, Dennis A.

2011-01-01

"O! this learning, what a thing it is." -W. Shakespeare, "The Taming of the Shrew." The aim of this action research was to find out if active grammar involvement amongst students might lead to better results. My approach was to activate my students during grammar instruction by using cooperative learning: that is a form of…

A Framework for Action: Intervening to Increase Adoption of Transformative Web 2.0 Learning Resources

ERIC Educational Resources Information Center

Hughes, Joan E.; Guion, James M.; Bruce, Kama A.; Horton, Lucas R.; Prescott, Amy

2011-01-01

Web 2.0 tools have emerged as conducive for innovative pedagogy and transformative learning opportunities for youth. Currently,Web 2.0 is often adopted into teachers' practice to simply replace or amplify traditional instructional approaches rather than to promote or facilitate transformative educational change. Current models of innovation…

Beyond Affirmative Action: Reframing the Context of Higher Education.

ERIC Educational Resources Information Center

Ibarra, Robert A.

Based on extensive interviews with Latino and Latina students and faculty, this book introduces a theory of "multicontextuality" that proposes that many people learn better when teachers emphasize whole systems of knowledge and that education can create its greatest successes by offering and accepting many approaches to teaching and learning. The…

Data-Driven H∞ Control for Nonlinear Distributed Parameter Systems.

PubMed

Luo, Biao; Huang, Tingwen; Wu, Huai-Ning; Yang, Xiong

2015-11-01

The data-driven H∞ control problem of nonlinear distributed parameter systems is considered in this paper. An off-policy learning method is developed to learn the H∞ control policy from real system data rather than the mathematical model. First, Karhunen-Loève decomposition is used to compute the empirical eigenfunctions, which are then employed to derive a reduced-order model (ROM) of slow subsystem based on the singular perturbation theory. The H∞ control problem is reformulated based on the ROM, which can be transformed to solve the Hamilton-Jacobi-Isaacs (HJI) equation, theoretically. To learn the solution of the HJI equation from real system data, a data-driven off-policy learning approach is proposed based on the simultaneous policy update algorithm and its convergence is proved. For implementation purpose, a neural network (NN)- based action-critic structure is developed, where a critic NN and two action NNs are employed to approximate the value function, control, and disturbance policies, respectively. Subsequently, a least-square NN weight-tuning rule is derived with the method of weighted residuals. Finally, the developed data-driven off-policy learning approach is applied to a nonlinear diffusion-reaction process, and the obtained results demonstrate its effectiveness.

Neuroscientific Model of Motivational Process

PubMed Central

Kim, Sung-il

2013-01-01

Considering the neuroscientific findings on reward, learning, value, decision-making, and cognitive control, motivation can be parsed into three sub processes, a process of generating motivation, a process of maintaining motivation, and a process of regulating motivation. I propose a tentative neuroscientific model of motivational processes which consists of three distinct but continuous sub processes, namely reward-driven approach, value-based decision-making, and goal-directed control. Reward-driven approach is the process in which motivation is generated by reward anticipation and selective approach behaviors toward reward. This process recruits the ventral striatum (reward area) in which basic stimulus-action association is formed, and is classified as an automatic motivation to which relatively less attention is assigned. By contrast, value-based decision-making is the process of evaluating various outcomes of actions, learning through positive prediction error, and calculating the value continuously. The striatum and the orbitofrontal cortex (valuation area) play crucial roles in sustaining motivation. Lastly, the goal-directed control is the process of regulating motivation through cognitive control to achieve goals. This consciously controlled motivation is associated with higher-level cognitive functions such as planning, retaining the goal, monitoring the performance, and regulating action. The anterior cingulate cortex (attention area) and the dorsolateral prefrontal cortex (cognitive control area) are the main neural circuits related to regulation of motivation. These three sub processes interact with each other by sending reward prediction error signals through dopaminergic pathway from the striatum and to the prefrontal cortex. The neuroscientific model of motivational process suggests several educational implications with regard to the generation, maintenance, and regulation of motivation to learn in the learning environment. PMID:23459598

Neuroscientific model of motivational process.

PubMed

Kim, Sung-Il

2013-01-01

Considering the neuroscientific findings on reward, learning, value, decision-making, and cognitive control, motivation can be parsed into three sub processes, a process of generating motivation, a process of maintaining motivation, and a process of regulating motivation. I propose a tentative neuroscientific model of motivational processes which consists of three distinct but continuous sub processes, namely reward-driven approach, value-based decision-making, and goal-directed control. Reward-driven approach is the process in which motivation is generated by reward anticipation and selective approach behaviors toward reward. This process recruits the ventral striatum (reward area) in which basic stimulus-action association is formed, and is classified as an automatic motivation to which relatively less attention is assigned. By contrast, value-based decision-making is the process of evaluating various outcomes of actions, learning through positive prediction error, and calculating the value continuously. The striatum and the orbitofrontal cortex (valuation area) play crucial roles in sustaining motivation. Lastly, the goal-directed control is the process of regulating motivation through cognitive control to achieve goals. This consciously controlled motivation is associated with higher-level cognitive functions such as planning, retaining the goal, monitoring the performance, and regulating action. The anterior cingulate cortex (attention area) and the dorsolateral prefrontal cortex (cognitive control area) are the main neural circuits related to regulation of motivation. These three sub processes interact with each other by sending reward prediction error signals through dopaminergic pathway from the striatum and to the prefrontal cortex. The neuroscientific model of motivational process suggests several educational implications with regard to the generation, maintenance, and regulation of motivation to learn in the learning environment.

Exploring multiple intelligences theory in the context of science education: An action research approach

NASA Astrophysics Data System (ADS)

Goodnough, Karen Catherine

2000-10-01

Since the publication of Frames of Mind: The Theory in Practice, multiple intelligences, theory (Gardner, 1983) has been used by practitioners in a variety of ways to make teaching and learning more meaningful. However, little attention has been focused on exploring the potential of the theory for science teaching and learning. Consequently, this research study was designed to: (1) explore Howard Gardner's theory of multiple intelligences (1983) and its merit for making science teaching and learning more meaningful; (2) provide a forum for teachers to engage in critical self-reflection about their theory and practice in science education; (3) study the process of action research in the context of science education; and (4) describe the effectiveness of collaborative action research as a framework for teacher development and curriculum development. The study reports on the experiences of four teachers (two elementary teachers, one junior high teacher, and one high school teacher) and myself, a university researcher-facilitator, as we participated in a collaborative action research project. The action research group held weekly meetings over a five-month period (January--May, 1999). The inquiry was a qualitative case study (Stake, 1994) that aimed to understand the perspectives of those directly involved. This was achieved by using multiple methods to collect data: audiotaped action research meetings, fieldnotes, semi-structured interviews, journal writing, and concept mapping. All data were analysed on an ongoing basis. Many positive outcomes resulted from the study in areas such as curriculum development, teacher development, and student learning in science. Through the process of action research, research participants became more reflective about their practice and thus, enhanced their pedagogical content knowledge (Shulman, 1987) in science. Students became more engaged in learning science, gained a greater understanding of how they learn, and experienced a science curriculum that was more relevant and personalized. In addition, the action research process provided a feasible and effective forum for both curriculum development and professional development.

Managing and learning with multiple models: Objectives and optimization algorithms

USGS Publications Warehouse

Probert, William J. M.; Hauser, C.E.; McDonald-Madden, E.; Runge, M.C.; Baxter, P.W.J.; Possingham, H.P.

2011-01-01

The quality of environmental decisions should be gauged according to managers' objectives. Management objectives generally seek to maximize quantifiable measures of system benefit, for instance population growth rate. Reaching these goals often requires a certain degree of learning about the system. Learning can occur by using management action in combination with a monitoring system. Furthermore, actions can be chosen strategically to obtain specific kinds of information. Formal decision making tools can choose actions to favor such learning in two ways: implicitly via the optimization algorithm that is used when there is a management objective (for instance, when using adaptive management), or explicitly by quantifying knowledge and using it as the fundamental project objective, an approach new to conservation.This paper outlines three conservation project objectives - a pure management objective, a pure learning objective, and an objective that is a weighted mixture of these two. We use eight optimization algorithms to choose actions that meet project objectives and illustrate them in a simulated conservation project. The algorithms provide a taxonomy of decision making tools in conservation management when there is uncertainty surrounding competing models of system function. The algorithms build upon each other such that their differences are highlighted and practitioners may see where their decision making tools can be improved. ?? 2010 Elsevier Ltd.

A cognitive movement scientist's view on the link between thought and action: insights from the "Badische Zimmer" metaphor.

PubMed

Hossner, Ernst-Joachim

2009-01-01

The problem of a bidirectional link between thought and action is approached from the perspective of cognitive movement science. The metaphor of the "Badische Zimmer" - an adaptation of Searle's Chinese room metaphor - is used to illustrate shortcomings in the classical conception of linear information processing and to introduce some features which current theories of movement control and learning should embrace. On this basis, the case is made for a return to an ideomotor view of motor control and learning based on effect prediction (E') as a function of the situational context (S') and one's own motor responses (R'). The relevance of the derived concept of sensorimotor chains linking elementary S'R'E' units in the course of motor learning is finally discussed with respect to potential implications for an integrative theory of perception, action, and decision making.

A whole school approach: collaborative development of school health policies, processes, and practices.

PubMed

Hunt, Pete; Barrios, Lisa; Telljohann, Susan K; Mazyck, Donna

2015-11-01

The Whole School, Whole Community, Whole Child (WSCC) model shows the interrelationship between health and learning and the potential for improving educational outcomes by improving health outcomes. However, current descriptions do not explain how to implement the model. The existing literature, including scientific articles, programmatic guidance, and publications by national agencies and organizations, was reviewed and synthesized to describe an overview of interrelatedness of learning and health and the 10 components of the WSCC model. The literature suggests potential benefits of applying the WSCC model at the district and school level. But, the model lacks specific guidance as to how this might be made actionable. A collaborative approach to health and learning is suggested, including a 10-step systematic process to help schools and districts develop an action plan for improving health and education outcomes. Essential preliminary actions are suggested to minimize the impact of the challenges that commonly derail systematic planning processes and program implementation, such as lack of readiness, personnel shortages, insufficient resources, and competing priorities. All new models require testing and evidence to confirm their value. District and schools will need to test this model and put plans into action to show that significant, substantial, and sustainable health and academic outcomes can be achieved. © 2015 The Authors. Journal of School Health published by Wiley Periodicals, Inc. on behalf of American School Health Association.

Functional Contour-following via Haptic Perception and Reinforcement Learning.

PubMed

Hellman, Randall B; Tekin, Cem; van der Schaar, Mihaela; Santos, Veronica J

2018-01-01

Many tasks involve the fine manipulation of objects despite limited visual feedback. In such scenarios, tactile and proprioceptive feedback can be leveraged for task completion. We present an approach for real-time haptic perception and decision-making for a haptics-driven, functional contour-following task: the closure of a ziplock bag. This task is challenging for robots because the bag is deformable, transparent, and visually occluded by artificial fingertip sensors that are also compliant. A deep neural net classifier was trained to estimate the state of a zipper within a robot's pinch grasp. A Contextual Multi-Armed Bandit (C-MAB) reinforcement learning algorithm was implemented to maximize cumulative rewards by balancing exploration versus exploitation of the state-action space. The C-MAB learner outperformed a benchmark Q-learner by more efficiently exploring the state-action space while learning a hard-to-code task. The learned C-MAB policy was tested with novel ziplock bag scenarios and contours (wire, rope). Importantly, this work contributes to the development of reinforcement learning approaches that account for limited resources such as hardware life and researcher time. As robots are used to perform complex, physically interactive tasks in unstructured or unmodeled environments, it becomes important to develop methods that enable efficient and effective learning with physical testbeds.

Predictive representations can link model-based reinforcement learning to model-free mechanisms.

PubMed

Russek, Evan M; Momennejad, Ida; Botvinick, Matthew M; Gershman, Samuel J; Daw, Nathaniel D

2017-09-01

Humans and animals are capable of evaluating actions by considering their long-run future rewards through a process described using model-based reinforcement learning (RL) algorithms. The mechanisms by which neural circuits perform the computations prescribed by model-based RL remain largely unknown; however, multiple lines of evidence suggest that neural circuits supporting model-based behavior are structurally homologous to and overlapping with those thought to carry out model-free temporal difference (TD) learning. Here, we lay out a family of approaches by which model-based computation may be built upon a core of TD learning. The foundation of this framework is the successor representation, a predictive state representation that, when combined with TD learning of value predictions, can produce a subset of the behaviors associated with model-based learning, while requiring less decision-time computation than dynamic programming. Using simulations, we delineate the precise behavioral capabilities enabled by evaluating actions using this approach, and compare them to those demonstrated by biological organisms. We then introduce two new algorithms that build upon the successor representation while progressively mitigating its limitations. Because this framework can account for the full range of observed putatively model-based behaviors while still utilizing a core TD framework, we suggest that it represents a neurally plausible family of mechanisms for model-based evaluation.

Predictive representations can link model-based reinforcement learning to model-free mechanisms

PubMed Central

Botvinick, Matthew M.

2017-01-01

Humans and animals are capable of evaluating actions by considering their long-run future rewards through a process described using model-based reinforcement learning (RL) algorithms. The mechanisms by which neural circuits perform the computations prescribed by model-based RL remain largely unknown; however, multiple lines of evidence suggest that neural circuits supporting model-based behavior are structurally homologous to and overlapping with those thought to carry out model-free temporal difference (TD) learning. Here, we lay out a family of approaches by which model-based computation may be built upon a core of TD learning. The foundation of this framework is the successor representation, a predictive state representation that, when combined with TD learning of value predictions, can produce a subset of the behaviors associated with model-based learning, while requiring less decision-time computation than dynamic programming. Using simulations, we delineate the precise behavioral capabilities enabled by evaluating actions using this approach, and compare them to those demonstrated by biological organisms. We then introduce two new algorithms that build upon the successor representation while progressively mitigating its limitations. Because this framework can account for the full range of observed putatively model-based behaviors while still utilizing a core TD framework, we suggest that it represents a neurally plausible family of mechanisms for model-based evaluation. PMID:28945743

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

Machine learning action parameters in lattice quantum chromodynamics

DOE PAGES

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

Critical Issues in Research Design in Action Research in an SME Development Context

ERIC Educational Resources Information Center

McGrath, Helen; O'Toole, Thomas

2012-01-01

Purpose: The main aim of this paper is to develop guidelines on the critical issues to consider in research design in an action research (AR) environment for SME network capability development. Design/methodology/approach: The issues in research design for AR studies are developed from the authors' experience in running learning sets but, in…

Toward a Post-Constructivist Ethics in/of Teaching and Learning

ERIC Educational Resources Information Center

Roth, Wolff-Michael

2013-01-01

Constructivist epistemologies focus on ethics as a system of values in the mind--even when previously co-constructed in a social context--against which social agents compare the actions that they mentally plan before performing them. This approach is problematic, as it forces a wedge between thought and action, body and mind, universal and…

Knowledge Exchange: Capacity Building in a Small University

ERIC Educational Resources Information Center

Davis, Sally Fowler

2009-01-01

Purpose: The aim of this paper is to examine an early articulation of some of the key factors in building capacity and the potential for knowledge exchange (KE) within a small, learning and teaching-oriented organization. Design/methodology/approach: An action research study is planned as a practical enquiry. In common with other action research,…

Improving Robot Motor Learning with Negatively Valenced Reinforcement Signals

PubMed Central

Navarro-Guerrero, Nicolás; Lowe, Robert J.; Wermter, Stefan

2017-01-01

Both nociception and punishment signals have been used in robotics. However, the potential for using these negatively valenced types of reinforcement learning signals for robot learning has not been exploited in detail yet. Nociceptive signals are primarily used as triggers of preprogrammed action sequences. Punishment signals are typically disembodied, i.e., with no or little relation to the agent-intrinsic limitations, and they are often used to impose behavioral constraints. Here, we provide an alternative approach for nociceptive signals as drivers of learning rather than simple triggers of preprogrammed behavior. Explicitly, we use nociception to expand the state space while we use punishment as a negative reinforcement learning signal. We compare the performance—in terms of task error, the amount of perceived nociception, and length of learned action sequences—of different neural networks imbued with punishment-based reinforcement signals for inverse kinematic learning. We contrast the performance of a version of the neural network that receives nociceptive inputs to that without such a process. Furthermore, we provide evidence that nociception can improve learning—making the algorithm more robust against network initializations—as well as behavioral performance by reducing the task error, perceived nociception, and length of learned action sequences. Moreover, we provide evidence that punishment, at least as typically used within reinforcement learning applications, may be detrimental in all relevant metrics. PMID:28420976

A self-management approach using self-initiated action plans for symptoms with ongoing nurse support in patients with Chronic Obstructive Pulmonary Disease (COPD) and comorbidities: the COPE-III study protocol.

PubMed

Lenferink, Anke; Frith, Peter; van der Valk, Paul; Buckman, Julie; Sladek, Ruth; Cafarella, Paul; van der Palen, Job; Effing, Tanja

2013-09-01

Chronic Obstructive Pulmonary Disease (COPD) frequently coexists with other diseases. Whereas COPD action plans are currently part of usual care, they are less suitable and potentially unsafe for use in the presence of comorbidities. This study evaluates whether an innovative treatment approach directed towards COPD and frequently existing comorbidities can reduce COPD exacerbation days. We hypothesise that this approach, which combines self-initiated action plans and nurse support, will accelerate proper treatment actions and lead to better control of deteriorating symptoms. In this multicenter randomised controlled trial we aim to include 300 patients with COPD (GOLD II-IV), and with at least one comorbidity (cardiovascular disease, diabetes, anxiety and/or depression). Patients will be recruited from hospitals in the Netherlands (n = 150) and Australia (n = 150) and will be assigned to an intervention or control group. All patients will learn to complete daily symptom diaries for 12-months. Intervention group patients will participate in self-management training sessions to learn the use of individualised action plans for COPD and comorbidities, linked to the diary. The primary outcome is the number of COPD exacerbation days. Secondary outcomes include hospitalisations, quality of life, self-efficacy, adherence, patient's satisfaction and confidence, health care use and cost data. Intention-to-treat analyses (random effect negative binomial regression and random effect mixed models) and cost-effectiveness analyses will be performed. Prudence should be employed before extrapolating the use of COPD specific action plans in patients with comorbidities. This study evaluates the efficacy of tailored action plans for both COPD and common comorbidities. Copyright © 2013 Elsevier Inc. All rights reserved.

The REFLECT Approach to Literacy: Some Issues of Method.

ERIC Educational Resources Information Center

Dyer, Caroline; Choksi, Archana

1998-01-01

Describes REFLECT (Regenerated Freirean Literacy through Empowering Community Techniques) that is an approach to literacy teaching and learning developed by ActionAid. Focuses on the interplay between this "neutral" literacy method and its impact on the social context of one group of pastoralists, the semisedentary Katchi Rabaris of…

Dialogic Group Coaching--Inspiration from Transformative Mediation

ERIC Educational Resources Information Center

Alrø, Helle; Dahl, Poul Nørgård

2015-01-01

Purpose: The purpose of this paper is to present an approach to group coaching in the workplace that can enhance shared learning in groups and teams through dialogue as opposed to group members' individual positioning through discussion and debate. Design/methodology/approach: An action research project conducted throughout one year in…

Discovering motion primitives for unsupervised grouping and one-shot learning of human actions, gestures, and expressions.

PubMed

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.

What can action learning offer a beleaguered system? A narrative representing the relationship.

PubMed

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.

Introducing a New Learning and Teaching Evaluation Planning Framework for Small Internally Funded Projects in Higher Education

ERIC Educational Resources Information Center

Huber, Elaine

2017-01-01

Scholarly evaluation practices in learning and teaching projects are under-reported in the literature. In order for robust evaluative measures to be implemented, a project requires a well-designed evaluation plan. This research study describes the development of a practical evaluation planning framework through an action research approach, using…

A Theory of the Measurement of Knowledge Content, Access, and Learning.

ERIC Educational Resources Information Center

Pirolli, Peter; Wilson, Mark

1998-01-01

An approach to the measurement of knowledge content, knowledge access, and knowledge learning is developed. First a theoretical view of cognition is described, and then a class of measurement models, based on Rasch modeling, is presented. Knowledge access and content are viewed as determining the observable actions selected by an agent to achieve…

The Effectiveness of Tutorials in Behavioural Sciences for Nurses: An Action Learning Project.

ERIC Educational Resources Information Center

French, Peter; Callaghan, Patrick; Dudley-Brown, Sharon; Holroyd, Eleanor; Sellick, Ken

1998-01-01

Nursing students in behavioral science were divided as follows: 40 in 4 groups with tutorials and 20 in control groups (13 of whom did not have tutorials). Two of the four experimental groups showed significant changes in learning approach. Recommendations included reducing the number of assignments, integrating theory and practice, and having an…

Transforming EFL Classroom Practices and Promoting Students' Empowerment: Collaborative Learning from a Dialogical Approach

ERIC Educational Resources Information Center

Contreras León, Janeth Juliana; Chapetón Castro, Claudia Marcela

2017-01-01

This study investigates the impact of implementing collaborative learning from a social and dialogical perspective on seventh graders' interaction in an English as a foreign language classroom at a public school in Bogotá, Colombia. Thirty students participated in this action research where field notes, questionnaires, semi-structured interviews,…

A Social Media Practicum: An Action-Learning Approach to Social Media Marketing and Analytics

ERIC Educational Resources Information Center

Atwong, Catherine T.

2015-01-01

To prepare students for the rapidly evolving field of digital marketing, which requires more and more technical skills every year, a social media practicum creates a learning environment in which students can apply marketing principles and become ready for collaborative work in social media marketing and analytics. Using student newspapers as…

Experts in the Classroom: Fellows Program Connects Teacher Learning to Student Outcomes

ERIC Educational Resources Information Center

Pett, Kate; Strahan, David; Gates, Carlye

2014-01-01

This article provides snapshots of teacher leadership in action as one result of the Asheville (N.C.) City Schools Foundation Innovation Fellows program, an approach to providing high quality professional learning for the district's best teachers. With start-up funding from the Z. Smith Reynolds Foundation, this program was created to retain great…

SOAP in Practice: Learning Outcomes of a Cross-Institutional Innovation Project Conducted by Teachers, Student Teachers, and Teacher Educators

ERIC Educational Resources Information Center

Seezink, Audrey; Poell, Rob; Kirschner, Paul

2010-01-01

This paper reports on a case study investigating learning outcomes at the individual and organisational level of a cross-institutional innovation project based on the SOAP approach. SOAP integrates "S"chooling of teachers, "O"rganisational development of schools, "A"ction- and development-oriented research, and…

Investigating the Potential of the Flipped Classroom Model in K-12 ICT Teaching and Learning: An Action Research Study

ERIC Educational Resources Information Center

Kostaris, Christoforos; Sergis, Stylianos; Sampson, Demetrios G.; Giannakos, Michail N.; Pelliccione, Lina

2017-01-01

The emerging Flipped Classroom approach has been widely used to enhance teaching practices in many subject domains and educational levels, reporting promising results for enhancing student learning experiences. However, despite this encouraging body of research, the subject domain of Information and Communication Technologies (ICT) teaching at…

A case study of the development of environmental action projects from the framework of participatory action research within two middle school classrooms

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 why participants experience this type of educational experience differently, for example, how does the type of environmental action project influence individual and group empowerment?

Exploring teacher's perceptions of concept mapping as a teaching strategy in science: An action research approach

NASA Astrophysics Data System (ADS)

Marks Krpan, Catherine Anne

In order to promote science literacy in the classroom, students need opportunities in which they can personalize their understanding of the concepts they are learning. Current literature supports the use of concept maps in enabling students to make personal connections in their learning of science. Because they involve creating explicit connections between concepts, concept maps can assist students in developing metacognitive strategies and assist educators in identifying misconceptions in students' thinking. The literature also notes that concept maps can improve student achievement and recall. Much of the current literature focuses primarily on concept mapping at the secondary and university levels, with limited focus on the elementary panel. The research rarely considers teachers' thoughts and ideas about the concept mapping process. In order to effectively explore concept mapping from the perspective of elementary teachers, I felt that an action research approach would be appropriate. Action research enabled educators to debate issues about concept mapping and test out ideas in their classrooms. It also afforded the participants opportunities to explore their own thinking, reflect on their personal journeys as educators and play an active role in their professional development. In an effort to explore concept mapping from the perspective of elementary educators, an action research group of 5 educators and myself was established and met regularly from September 1999 until June 2000. All of the educators taught in the Toronto area. These teachers were interested in exploring how concept mapping could be used as a learning tool in their science classrooms. In summary, this study explores the journey of five educators and myself as we engaged in collaborative action research. This study sets out to: (1) Explore how educators believe concept mapping can facilitate teaching and student learning in the science classroom. (2) Explore how educators implement concept mapping in their classrooms. (3) Identify challenges educators experience when they implement concept mapping. (4) Explore factors that impact on facilitating collaborative action research. (5) Provide insight into my growth as an action research facilitator.

"I just had to be flexible and show good patience": management of interactional approaches to enact mentoring roles by peer mentors with developmental disabilities.

PubMed

Schwartz, Ariel E; Kramer, Jessica M

2017-06-08

Peer mentoring may be an effective approach for fostering skill development for mentors and mentees with developmental disabilities. However, little is known about how mentors with developmental disabilities perceive and enact their roles. (1) How do young adults with developmental disabilities describe their role as a peer mentor in the context of instrumental peer mentoring? (2) How do they enact their perceived roles? Thematic analysis of semi-structured reflections completed by six mentors with developmental disabilities (ages 17-35) with multiple mentoring experiences. Mentors perceived themselves as professionals with a primary role of teaching, and for some mentoring relationships, a secondary role of developing an interpersonal relationship. To enact these roles, mentors used a supportive interactional approach characterized by actions such as encouragement and sharing examples and dispositions, such as flexibility and patience. Mentors monitored mentee learning and engagement within the mentoring session and, as needed, adjusted their approach to optimize mentee learning and engagement. To successfully manage their interactional approach, mentors used supports such as peer mentoring scripts, tip sheets, and supervisors. While mentors reported several actions for teaching, they may benefit from training to learn approaches to facilitate more consistent development of interpersonal relationships. Implications for Rehabilitation Peer mentoring may be an effective approach for fostering skill development for young adult mentors and mentees with developmental disabilities. In this study, young adult peer mentors with developmental disabilities perceived themselves as professionals with a primary role of teaching and a secondary role of developing an interpersonal relationship. Peer mentors used actions and dispositions that matched their perceived roles and supported mentees with developmental disabilities to engage in instrumental mentoring. With supports and training, young adults with developmental disabilities can successfully execute the complex relational and teaching tasks required of peer mentoring.

Toward Self-Referential Autonomous Learning of Object and Situation Models.

PubMed

Damerow, Florian; Knoblauch, Andreas; Körner, Ursula; Eggert, Julian; Körner, Edgar

2016-01-01

Most current approaches to scene understanding lack the capability to adapt object and situation models to behavioral needs not anticipated by the human system designer. Here, we give a detailed description of a system architecture for self-referential autonomous learning which enables the refinement of object and situation models during operation in order to optimize behavior. This includes structural learning of hierarchical models for situations and behaviors that is triggered by a mismatch between expected and actual action outcome. Besides proposing architectural concepts, we also describe a first implementation of our system within a simulated traffic scenario to demonstrate the feasibility of our approach.

Sensemaking of patient safety risks and hazards.

PubMed

Battles, James B; Dixon, Nancy M; Borotkanics, Robert J; Rabin-Fastmen, Barbara; Kaplan, Harold S

2006-08-01

In order for organizations to become learning organizations, they must make sense of their environment and learn from safety events. Sensemaking, as described by Weick (1995), literally means making sense of events. The ultimate goal of sensemaking is to build the understanding that can inform and direct actions to eliminate risk and hazards that are a threat to patient safety. True sensemaking in patient safety must use both retrospective and prospective approach to learning. Sensemaking is as an essential part of the design process leading to risk informed design. Sensemaking serves as a conceptual framework to bring together well established approaches to assessment of risk and hazards: (1) at the single event level using root cause analysis (RCA), (2) at the processes level using failure modes effects analysis (FMEA) and (3) at the system level using probabilistic risk assessment (PRA). The results of these separate or combined approaches are most effective when end users in conversation-based meetings add their expertise and knowledge to the data produced by the RCA, FMEA, and/or PRA in order to make sense of the risks and hazards. Without ownership engendered by such conversations, the possibility of effective action to eliminate or minimize them is greatly reduced.

Sensemaking of Patient Safety Risks and Hazards

PubMed Central

Battles, James B; Dixon, Nancy M; Borotkanics, Robert J; Rabin-Fastmen, Barbara; Kaplan, Harold S

2006-01-01

In order for organizations to become learning organizations, they must make sense of their environment and learn from safety events. Sensemaking, as described by Weick (1995), literally means making sense of events. The ultimate goal of sensemaking is to build the understanding that can inform and direct actions to eliminate risk and hazards that are a threat to patient safety. True sensemaking in patient safety must use both retrospective and prospective approach to learning. Sensemaking is as an essential part of the design process leading to risk informed design. Sensemaking serves as a conceptual framework to bring together well established approaches to assessment of risk and hazards: (1) at the single event level using root cause analysis (RCA), (2) at the processes level using failure modes effects analysis (FMEA) and (3) at the system level using probabilistic risk assessment (PRA). The results of these separate or combined approaches are most effective when end users in conversation-based meetings add their expertise and knowledge to the data produced by the RCA, FMEA, and/or PRA in order to make sense of the risks and hazards. Without ownership engendered by such conversations, the possibility of effective action to eliminate or minimize them is greatly reduced. PMID:16898979

Practice Makes Perfect: Classrooms and Curricula That Generate Civic Minds and Actions

ERIC Educational Resources Information Center

Stanton, Timothy K.

2014-01-01

I propose an approach to service-learning that encourages and enables students to engage with human rights and social justice in ways that are democratic and effective. I describe a teaching process in which civic action can be critically reflected on not just to promote engagement and build knowledge but ultimately to encourage and equip students…

Assisting School Management Teams to Construct Their School Improvement Plans: An Action Learning Approach

ERIC Educational Resources Information Center

Van Der Voort, Geoffrey; Wood, Lesley

2014-01-01

This article reports on a first cycle of a larger action research study conducted to determine how Circuit Teams could support School Management Teams of underperforming high schools towards whole-school development. Although it is a mandated requirement by the Department of Education, none of the four schools involved in the study had developed a…

Leading School-Wide Improvement in Low-Performing Schools Facing Conditions of Accountability: Key Actions and Considerations

ERIC Educational Resources Information Center

Cosner, Shelby; Jones, Mary F.

2016-01-01

Purpose: The purpose of this paper is to advance a framework that identifies three key domains of work and a set of more nuanced considerations and actions within each domain for school leaders seeking to improve school-wide student learning in low-performing schools facing conditions of accountability. Design/methodology/approach: Review of…

Empowering Language Learners through the Use of a Curriculum-Integrated Information Literacy Programme: An Action Research Project

ERIC Educational Resources Information Center

Alzahrani, Sahar

2017-01-01

This paper implements and evaluates a curriculum-integrated information literacy programme in an Arabic primary school in the United Kingdom to empower learners and develop life-long learning skills. It reports on an action research project with a reflective practice approach used at the beginning of the semester to identify potential problems…

The "Push-Pull" Approach to Fast-Track Management Development: A Case Study in Scientific Publishing

ERIC Educational Resources Information Center

Fojt, Martin; Parkinson, Stephen; Peters, John; Sandelands, Eric

2008-01-01

Purpose: The purpose of this paper is to explore how a medium sized business has addressed what it has termed a "push-pull" method of management and organization development, based around an action learning approach. Design/methodology/approach: The paper sets out a methodology that other SMEs might look to replicate in their management and…

The Use of the Data-to-Action Framework in the Evaluation of CDC's DELTA FOCUS Program.

PubMed

Armstead, Theresa L; Kearns, Megan; Rambo, Kirsten; Estefan, Lianne Fuino; Dills, Jenny; Rivera, Moira S; El-Beshti, Rasha

The Centers for Disease Control and Prevention's (CDC's) Domestic Violence Prevention Enhancements and Leadership Through Alliances, Focusing on Outcomes for Communities United with States (DELTA FOCUS) program is a 5-year cooperative agreement (2013-2018) funding 10 state domestic violence coalitions and local coordinated community response teams to engage in primary prevention of intimate partner violence. Grantees' prevention strategies were often developmental and emergent; therefore, CDC's approach to program oversight, administration, and support to grantees required a flexible approach. CDC staff adopted a Data-to-Action Framework for the DELTA FOCUS program evaluation that supported a culture of learning to meet dynamic and unexpected information needs. Briefly, a Data-to-Action Framework involves the collection and use of information in real time for program improvement. Utilizing this framework, the DELTA FOCUS data-to-action process yielded important insights into CDC's ongoing technical assistance, improved program accountability by providing useful materials, and information for internal agency leadership, and helped build a learning community among grantees. CDC and other funders, as decision makers, can promote program improvements that are data-informed by incorporating internal processes supportive of ongoing data collection and review.

Role of research in occupational therapy clinical practice: applying action learning and action research in pursuit of evidence-based practice.

PubMed

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.

Team sponsors in community-based health leadership programs.

PubMed

Patterson, Tracy Enright; Dinkin, Donna R; Champion, Heather

2017-05-02

Purpose The purpose of this article is to share the lessons learned about the role of team sponsors in action-learning teams as part of community-based health leadership development programs. Design/methodology/approach This case study uses program survey results from fellow participants, action learning coaches and team sponsors to understand the value of sponsors to the teams, the roles they most often filled and the challenges they faced as team sponsors. Findings The extent to which the sponsors were perceived as having contributed to the work of the action learning teams varied greatly from team to team. Most sponsors agreed that they were well informed about their role. The roles sponsors most frequently played were to provide the teams with input and support, serve as a liaison to the community and serve as a sounding board, motivator and cheerleader. The most common challenges or barriers team sponsors faced in this role were keeping engaged in the process, adjusting to the role and feeling disconnected from the program. Practical implications This work provides insights for program developers and community foundations who are interested in building the capacity for health leadership by linking community sponsors with emerging leaders engaged in an action learning experience. Originality/value This work begins to fill a gap in the literature. The role of team sponsors has been studied for single organization work teams but there is a void of understanding about the role of sponsors with multi-organizational teams working to improve health while also learning about leadership.

Active Player Modeling in the Iterated Prisoner's Dilemma

PubMed Central

Park, Hyunsoo; Kim, Kyung-Joong

2016-01-01

The iterated prisoner's dilemma (IPD) is well known within the domain of game theory. Although it is relatively simple, it can also elucidate important problems related to cooperation and trust. Generally, players can predict their opponents' actions when they are able to build a precise model of their behavior based on their game playing experience. However, it is difficult to make such predictions based on a limited number of games. The creation of a precise model requires the use of not only an appropriate learning algorithm and framework but also a good dataset. Active learning approaches have recently been introduced to machine learning communities. The approach can usually produce informative datasets with relatively little effort. Therefore, we have proposed an active modeling technique to predict the behavior of IPD players. The proposed method can model the opponent player's behavior while taking advantage of interactive game environments. This experiment used twelve representative types of players as opponents, and an observer used an active modeling algorithm to model these opponents. This observer actively collected data and modeled the opponent's behavior online. Most of our data showed that the observer was able to build, through direct actions, a more accurate model of an opponent's behavior than when the data were collected through random actions. PMID:26989405

Active Player Modeling in the Iterated Prisoner's Dilemma.

PubMed

Park, Hyunsoo; Kim, Kyung-Joong

2016-01-01

The iterated prisoner's dilemma (IPD) is well known within the domain of game theory. Although it is relatively simple, it can also elucidate important problems related to cooperation and trust. Generally, players can predict their opponents' actions when they are able to build a precise model of their behavior based on their game playing experience. However, it is difficult to make such predictions based on a limited number of games. The creation of a precise model requires the use of not only an appropriate learning algorithm and framework but also a good dataset. Active learning approaches have recently been introduced to machine learning communities. The approach can usually produce informative datasets with relatively little effort. Therefore, we have proposed an active modeling technique to predict the behavior of IPD players. The proposed method can model the opponent player's behavior while taking advantage of interactive game environments. This experiment used twelve representative types of players as opponents, and an observer used an active modeling algorithm to model these opponents. This observer actively collected data and modeled the opponent's behavior online. Most of our data showed that the observer was able to build, through direct actions, a more accurate model of an opponent's behavior than when the data were collected through random actions.

VIOLENT FRAMES IN ACTION

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sanfilippo, Antonio P.; McGrath, Liam R.; Whitney, Paul D.

2011-11-17

We present a computational approach to radical rhetoric that leverages the co-expression of rhetoric and action features in discourse to identify violent intent. The approach combines text mining and machine learning techniques with insights from Frame Analysis and theories that explain the emergence of violence in terms of moral disengagement, the violation of sacred values and social isolation in order to build computational models that identify messages from terrorist sources and estimate their proximity to an attack. We discuss a specific application of this approach to a body of documents from and about radical and terrorist groups in the Middlemore » East and present the results achieved.« less

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…

A novice teacher's reflections on lecturing as a teaching strategy: covering the content or uncovering the meaning.

PubMed

Clynes, Mary P

2009-01-01

The lecture is the most widely used teaching strategy in adult education programmes. While it has advantages, it is criticised for its lack of student engagement and inability to stimulate higher-order thinking. The aim of this paper is to detail a novice teacher's journey using the lecture as a teaching strategy. The use of an action research approach provided the teacher with a framework to research own learning. In addition, the collaborative process inherent in action research resulted in students being invited to evaluate the teaching. The journey takes the teacher from a teacher-centred approach to teaching and learning to a student-centred approach. The influence of the teacher's own educational encounters is explored. In common with many novice teachers, the focus on content delivery and difficulty asking questions are two key issues. The gradual implementation of strategies to allow for more student engagement is discussed and advice is offered to the novice teacher.

The Unified Core: A "Major" Learning Community Model in Action

ERIC Educational Resources Information Center

Powell, Gwynn M.; Johnson, Corey W.; James, J. Joy; Dunlap, Rudy

2011-01-01

The Unified Core is an innovative approach to higher education that blends content through linked courses within a major to create a community of learners. This article offers the theoretical background for the approach, describes the implementation, and offers suggestions to educators who would like to design their own version of this innovative…

Learning by Doing: The Objectification of Knowledge across Semiotic Modalities in Middle School Chemistry Lab Activities

ERIC Educational Resources Information Center

Wright, Laura J.

2008-01-01

This analysis follows students' action and interaction with a single scientific phenomenon (bubbling/gas) over the course of a curriculum unit in a middle school science classroom to examine how and what they learn when doing laboratory activities. Taking a situated approach to interaction, I place the process of objectification in its multimodal…

Negotiating the Rules of Engagement: Exploring Perceptions of Dance Technique Learning through Bourdieu's Concept of "Doxa"

ERIC Educational Resources Information Center

Rimmer, Rachel

2017-01-01

This article presents the findings from a focus group discussion conducted with first year undergraduate dance students in March 2015. The focus group concluded a cycle of action research during which the researcher explored the use of enquiry-based learning approaches to teaching dance technique in higher education. Grounded in transformative and…

Augmented Reality M-Learning to Enhance Nursing Skills Acquisition in the Clinical Skills Laboratory

ERIC Educational Resources Information Center

Garrett, Bernard M.; Jackson, Cathryn; Wilson, Brian

2015-01-01

Purpose: This paper aims to report on a pilot research project designed to explore if new mobile augmented reality (AR) technologies have the potential to enhance the learning of clinical skills in the lab. Design/methodology/approach: An exploratory action-research-based pilot study was undertaken to explore an initial proof-of-concept design in…

Kindle the Spark: An Action Guide for Schools Committed to the Success of Every Child.

ERIC Educational Resources Information Center

Hergert, Leslie F.; And Others

Guidelines for transforming and improving the nation's public schools are presented in this book, with a focus on the regional laboratory's program for educational change. The program is organized around "designing schools for enhanced learning" and is based on three principles--a focus on learning, a systemic approach to change, and building a…

Everyday robotic action: lessons from human action control

PubMed Central

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

"Learning-in-Action" and "Learning Inaction": Advancing the Theory and Practice of Critical Action Learning

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…

Online Pedagogical Tutorial Tactics Optimization Using Genetic-Based Reinforcement Learning

PubMed Central

Lin, Hsuan-Ta; Lee, Po-Ming; Hsiao, Tzu-Chien

2015-01-01

Tutorial tactics are policies for an Intelligent Tutoring System (ITS) to decide the next action when there are multiple actions available. Recent research has demonstrated that when the learning contents were controlled so as to be the same, different tutorial tactics would make difference in students' learning gains. However, the Reinforcement Learning (RL) techniques that were used in previous studies to induce tutorial tactics are insufficient when encountering large problems and hence were used in offline manners. Therefore, we introduced a Genetic-Based Reinforcement Learning (GBML) approach to induce tutorial tactics in an online-learning manner without basing on any preexisting dataset. The introduced method can learn a set of rules from the environment in a manner similar to RL. It includes a genetic-based optimizer for rule discovery task by generating new rules from the old ones. This increases the scalability of a RL learner for larger problems. The results support our hypothesis about the capability of the GBML method to induce tutorial tactics. This suggests that the GBML method should be favorable in developing real-world ITS applications in the domain of tutorial tactics induction. PMID:26065018

Online Pedagogical Tutorial Tactics Optimization Using Genetic-Based Reinforcement Learning.

PubMed

Lin, Hsuan-Ta; Lee, Po-Ming; Hsiao, Tzu-Chien

2015-01-01

Tutorial tactics are policies for an Intelligent Tutoring System (ITS) to decide the next action when there are multiple actions available. Recent research has demonstrated that when the learning contents were controlled so as to be the same, different tutorial tactics would make difference in students' learning gains. However, the Reinforcement Learning (RL) techniques that were used in previous studies to induce tutorial tactics are insufficient when encountering large problems and hence were used in offline manners. Therefore, we introduced a Genetic-Based Reinforcement Learning (GBML) approach to induce tutorial tactics in an online-learning manner without basing on any preexisting dataset. The introduced method can learn a set of rules from the environment in a manner similar to RL. It includes a genetic-based optimizer for rule discovery task by generating new rules from the old ones. This increases the scalability of a RL learner for larger problems. The results support our hypothesis about the capability of the GBML method to induce tutorial tactics. This suggests that the GBML method should be favorable in developing real-world ITS applications in the domain of tutorial tactics induction.

Learning to cooperate without awareness in multiplayer minimal social situations.

PubMed

Colman, Andrew M; Pulford, Briony D; Omtzigt, David; al-Nowaihi, Ali

2010-11-01

Experimental and Monte Carlo methods were used to test theoretical predictions about adaptive learning of cooperative responses without awareness in minimal social situations-games in which the payoffs to players depend not on their own actions but exclusively on the actions of other group members. In Experiment 1, learning occurred slowly over 200 rounds in a dyadic minimal social situation but not in multiplayer groups. In Experiments 2-4, learning occurred rarely in multiplayer groups, even when players were informed that they were interacting strategically and were allowed to communicate with one another but were not aware of the game's payoff structure. Monte Carlo simulation suggested that players approach minimal social situations using a noisy version of the win-stay, lose-shift decision rule, deviating from the deterministic rule less frequently after rewarding than unrewarding rounds. Copyright 2010 Elsevier Inc. All rights reserved.

Alterations in choice behavior by manipulations of world model.

PubMed

Green, C S; Benson, C; Kersten, D; Schrater, P

2010-09-14

How to compute initially unknown reward values makes up one of the key problems in reinforcement learning theory, with two basic approaches being used. Model-free algorithms rely on the accumulation of substantial amounts of experience to compute the value of actions, whereas in model-based learning, the agent seeks to learn the generative process for outcomes from which the value of actions can be predicted. Here we show that (i) "probability matching"-a consistent example of suboptimal choice behavior seen in humans-occurs in an optimal Bayesian model-based learner using a max decision rule that is initialized with ecologically plausible, but incorrect beliefs about the generative process for outcomes and (ii) human behavior can be strongly and predictably altered by the presence of cues suggestive of various generative processes, despite statistically identical outcome generation. These results suggest human decision making is rational and model based and not consistent with model-free learning.

Alterations in choice behavior by manipulations of world model

PubMed Central

Green, C. S.; Benson, C.; Kersten, D.; Schrater, P.

2010-01-01

How to compute initially unknown reward values makes up one of the key problems in reinforcement learning theory, with two basic approaches being used. Model-free algorithms rely on the accumulation of substantial amounts of experience to compute the value of actions, whereas in model-based learning, the agent seeks to learn the generative process for outcomes from which the value of actions can be predicted. Here we show that (i) “probability matching”—a consistent example of suboptimal choice behavior seen in humans—occurs in an optimal Bayesian model-based learner using a max decision rule that is initialized with ecologically plausible, but incorrect beliefs about the generative process for outcomes and (ii) human behavior can be strongly and predictably altered by the presence of cues suggestive of various generative processes, despite statistically identical outcome generation. These results suggest human decision making is rational and model based and not consistent with model-free learning. PMID:20805507

Implementing a Parental Involvement Program to Improve Parents' Engagement in Their Children's Learning: An Action Research Study

ERIC Educational Resources Information Center

Youssef, Saoussen S.

2017-01-01

Since the early 1900s, the traditional thinking about education and school role in the USA has shifted to view schools as non-isolated entities from the larger society where schooling should be re-energized with help from the society, which includes student homes and communities. This mixed approach action research study evolves around improving…

"You Never Know What Research Is Like Unless You've Done It!": Action Research to Promote Collaborative Student-Teacher Research

ERIC Educational Resources Information Center

Yan, Chunmei

2017-01-01

In contrast with its high level of popularity in both research and practice for in-service teacher development, teacher research has received much less attention in pre-service language teacher education as a reflective learning approach, particularly in China's context. Action research, as a major form of teacher research, has rarely been…

Exemplar-based human action pose correction.

PubMed

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.

A Competence-Based Science Learning Framework Illustrated Through the Study of Natural Hazards and Disaster Risk Reduction

NASA Astrophysics Data System (ADS)

Oyao, Sheila G.; Holbrook, Jack; Rannikmäe, Miia; Pagunsan, Marmon M.

2015-09-01

This article proposes a competence-based learning framework for science teaching, applied to the study of 'big ideas', in this case to the study of natural hazards and disaster risk reduction (NH&DRR). The framework focuses on new visions of competence, placing emphasis on nurturing connectedness and behavioral actions toward resilience and sustainability. The framework draws together competences familiarly expressed as cognitive knowledge and skills, plus dispositions and adds connectedness and action-related behaviors, and applies this by means of a progression shift associated with NH&DRR from abilities to capabilities. The target is enhanced scientific literacy approached through an education through science focus, amplified through the study of a big idea, promotion of sustained resilience in the face of disaster and the taking of responsibilities for behavioral actions. The framework is applied to a learning progression for each interrelated education dimension, thus serving as a guide for both the development of abilities and as a platform for stimulating student capabilities within instruction and assessment.

SVM-based tree-type neural networks as a critic in adaptive critic designs for control.

PubMed

Deb, Alok Kanti; Jayadeva; Gopal, Madan; Chandra, Suresh

2007-07-01

In this paper, we use the approach of adaptive critic design (ACD) for control, specifically, the action-dependent heuristic dynamic programming (ADHDP) method. A least squares support vector machine (SVM) regressor has been used for generating the control actions, while an SVM-based tree-type neural network (NN) is used as the critic. After a failure occurs, the critic and action are retrained in tandem using the failure data. Failure data is binary classification data, where the number of failure states are very few as compared to the number of no-failure states. The difficulty of conventional multilayer feedforward NNs in learning this type of classification data has been overcome by using the SVM-based tree-type NN, which due to its feature to add neurons to learn misclassified data, has the capability to learn any binary classification data without a priori choice of the number of neurons or the structure of the network. The capability of the trained controller to handle unforeseen situations is demonstrated.

Development of a self-treatment approach for patients with COPD and comorbidities: an ongoing learning process.

PubMed

Effing, Tanja W; Lenferink, Anke; Buckman, Julie; Spicer, Deborah; Cafarella, Paul A; Burt, Morton G; Bassett, Katherine L; van Ommeren, Clara; Anesbury, Sally; van der Valk, Paul D L P M; Frith, Peter A; van der Palen, Job

2014-11-01

Patient-initiated action plans are an important component of COPD self-management (SM) interventions. When integrated into SM interventions, these action plans have proven to be effective in reducing exacerbation severity, hospitalisations, and costs and in improving health status in patients with COPD without severe comorbidities. Because of overlap in symptoms, a self-treatment (ST) approach that focuses solely on traditional symptoms of COPD is inadequate for patients with COPD and comorbidities. The COPE-III SM intervention combines (I) patient-initiated action plans that are tailored to the individual's co-morbid disease(s), and (II) ongoing nurse support. In this paper we provide information regarding the integration of information from two previous COPD SM studies (COPE I and II) in the development of the current COPE-III ST approach. COPE-III ST materials include daily symptom diaries and action plans that take patient's common comorbidities [chronic heart failure (CHF), anxiety, depression, ischaemic heart disease (IHD), and diabetes] into account. The comorbid diary and action plans components were developed in collaboration with multiple disease-experts. Previous SM studies have highlighted some essential topics that need to be considered when developing a SM or ST approach: 'when to initiate ST', 'how to optimize materials and safety', and 'how to achieve behavioural change'. In the COPE-III study, ST is initiated after a significant change in symptoms. This is consistent with the COPE-II approach and was implemented because disease symptoms are often present even when patients are stable. We have tried to ensure patient safety by providing an easily accessible case-manager to patients throughout their involvement in the study. Furthermore, a psychologist has ensured the use of behavioural change techniques throughout the intervention. We should continue to learn from our experiences with SM interventions to further optimize future SM and ST interventions. The use of materials that are suitable for different levels of patient literacy and the training of health care providers are other points of improvement.

Communication and abnormal behaviour.

PubMed

Crown, S

1979-01-01

In this paper the similarities between normal and abnormal behaviour are emphasized and selected aspects of communication, normal and aberrant, between persons are explored. Communication in a social system may be verbal or non-verbal: one person's actions cause a response in another person. This response may be cognitive, behavioural or physiological. Communication may be approached through the individual, the social situation or social interaction. Psychoanalysis approaches the individual in terms of the coded communications of psychoneurotic symptoms or psychotic behaviour; the humanist-existential approach is concerned more with emotional expression. Both approaches emphasize the development of individual identity. The interaction between persons and their social background is stressed. Relevant are sociological concepts such as illness behaviour, stigma, labelling, institutionalization and compliance. Two approaches to social interactions are considered: the gamesplaying metaphor, e.g. back pain as a psychosocial manipulation--the 'pain game'; and the 'spiral of reciprocal perspectives' which emphasizes the interactional complexities of social perceptions. Communicatory aspects of psychological treatments are noted: learning a particular metaphor such as 'resolution' of the problem (psychotherapy), learning more 'rewarding' behaviour (learning theory) or learning authenticity or self-actualization (humanist-existential).

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…

Learning and knowing technology as lived experience in people with Alzheimer's disease: a phenomenological study.

PubMed

Rosenberg, Lena; Nygård, Louise

2017-12-01

Most research on learning in the field of dementia has studied teaching approaches, while little is known about learning as experienced and enacted by the people with dementia. The aim was to explore the lived experience of learning and maintaining knowledge related to technology among people with mild to moderate stage dementia. Seven persons with dementia were interviewed in-depth, and data were analyzed with a phenomenological approach. The participants positioned themselves on a continuum from 'Updating and expanding is not for me' to 'Updating and expanding is really for me'. They used different ways of learning in their everyday life - relying on one's habituated repertoire of actions, on other people or on technology itself, or belonging to a learning context. We have much to gain from better understanding of how people with dementia strive to learn and maintain their skills and knowledge related to technology. This is particularly important as they seem to use other approaches than those employed in current teaching methods. The necessity of learning stands out particularly when it comes to the interaction with the current multitude and ever-changing designs of technologies, including assistive technologies developed specifically to support people with dementia.

Multidisciplinary and multisectoral coalitions as catalysts for action against antimicrobial resistance: Implementation experiences at national and regional levels.

PubMed

Joshi, Mohan P; Chintu, Chifumbe; Mpundu, Mirfin; Kibuule, Dan; Hazemba, Oliver; Andualem, Tenaw; Embrey, Martha; Phulu, Bayobuya; Gerba, Heran

2018-03-20

The multi-faceted complexities of antimicrobial resistance (AMR) require consistent action, a multidisciplinary approach, and long-term political commitment. Building coalitions can amplify stakeholder efforts to carry out effective AMR prevention and control strategies. We have developed and implemented an approach to help local stakeholders kick-start the coalition-building process. The five-step process is to (1) mobilise support, (2) understand the local situation, (3) develop an action plan, (4) implement the plan, and (5) monitor and evaluate. We first piloted the approach in Zambia in 2004, then used the lessons learned to expand it for use in Ethiopia and Namibia and to the regional level through the Ecumenical Pharmaceutical Network [EPN]. Call-to-action declarations and workshops helped promote a shared vision, resulting in the development of national AMR action plans, revision of university curricula to incorporate relevant topics, infection control activities, engagement with journalists from various mass media outlets, and strengthening of drug quality assurance systems. Our experience with the coalition-building approach in Ethiopia, Namibia, Zambia, and with the EPN shows that coalitions can form in a variety of ways with many different stakeholders, including government, academia, and faith-based organisations, to organise actions to preserve the effectiveness of existing antimicrobials and contain AMR.

Is Inquiry the Answer?

ERIC Educational Resources Information Center

Booth, Gregory

2001-01-01

Conducts an action research investigation to determine which type of student benefits more from inquiry-based science laboratories. Designs two labs on diffusion and osmosis using both traditional and inquiry-based approaches and assesses student learning in these settings. (YDS)

Action observation as a tool for neurorehabilitation to moderate motor deficits and aphasia following stroke

PubMed Central

Ertelt, Denis; Binkofski, Ferdinand

2012-01-01

The mirror neuron system consists of a set of brain areas capable of matching action observation with action execution. One core feature of the mirror neuron system is the activation of motor areas by action observation alone. This unique capacity of the mirror neuron system to match action perception and action execution stimulated the idea that mirror neuron system plays a crucial role in the understanding of the content of observed actions and may participate in procedural learning. These features bear a high potential for neurorehabilitation of motor deficits and of aphasia following stroke. Since the first articles exploring this principle were published, a growing number of follow-up studies have been conducted in the last decade. Though, the combination of action observation with practice of the observed actions seems to constitute the most powerful approach. In the present review, we present the existing studies analyzing the effects of this neurorehabilitative approach in clinical settings especially in the rehabilitation of stroke associated motor deficits and give a perspective on the ongoing trials by our research group. The data obtained up to date showed significant positive effect of action observation on recovery of motor functions of the upper limbs even in the chronic state after stroke, indicating that our approach might become a new standardized add-on feature of modern neurorehabilitative treatment schemes. PMID:25624838

Providing Adaptation and Guidance for Design Learning by Problem Solving: The Design Planning Approach in DomoSim-TPC Environment

ERIC Educational Resources Information Center

Redondo, Miguel A.; Bravo, Crescencio; Ortega, Manuel; Verdejo, M. Felisa

2007-01-01

Experimental learning environments based on simulation usually require monitoring and adaptation to the actions the users carry out. Some systems provide this functionality, but they do so in a way which is static or cannot be applied to problem solving tasks. In response to this problem, we propose a method based on the use of intermediate…

Teaching English through Action: Total Physical Response (T.P.R.). A Right-Brain/Left-Brain Approach to Language Acquisition. A Workshop.

ERIC Educational Resources Information Center

Segal, Bertha E.

Materials from a teacher workshop on the Total Physical Response method for teaching English as a second language are presented. The technique describes the process of first language acquisition, uses physical activities in the classroom to reinforce learning, and allows a long period of receptive language learning before requiring production. The…

A Constructivist Approach to Game-Based Language Learning: Student Perceptions in a Beginner-Level EFL Context

ERIC Educational Resources Information Center

York, James; deHaan, Jonathan William

2018-01-01

This article provides information on an action research project in a low-level EFL setting in Japan. The project aims were to (1) foster spoken communication skills and (2) help students engage with their own learning. The project investigated the applicability of board games as a mediating tool for authentic communication as part of a wider TBLT…

Action Learning at Work.

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…

Minimalist Social-Affective Value for Use in Joint Action: A Neural-Computational Hypothesis

PubMed Central

Lowe, Robert; Almér, Alexander; Lindblad, Gustaf; Gander, Pierre; Michael, John; Vesper, Cordula

2016-01-01

Joint Action is typically described as social interaction that requires coordination among two or more co-actors in order to achieve a common goal. In this article, we put forward a hypothesis for the existence of a neural-computational mechanism of affective valuation that may be critically exploited in Joint Action. Such a mechanism would serve to facilitate coordination between co-actors permitting a reduction of required information. Our hypothesized affective mechanism provides a value function based implementation of Associative Two-Process (ATP) theory that entails the classification of external stimuli according to outcome expectancies. This approach has been used to describe animal and human action that concerns differential outcome expectancies. Until now it has not been applied to social interaction. We describe our Affective ATP model as applied to social learning consistent with an “extended common currency” perspective in the social neuroscience literature. We contrast this to an alternative mechanism that provides an example implementation of the so-called social-specific value perspective. In brief, our Social-Affective ATP mechanism builds upon established formalisms for reinforcement learning (temporal difference learning models) nuanced to accommodate expectations (consistent with ATP theory) and extended to integrate non-social and social cues for use in Joint Action. PMID:27601989

Improving Students' Creative Thinking and Achievement through the Implementation of Multiple Intelligence Approach with Mind Mapping

ERIC Educational Resources Information Center

Widiana, I. Wayan; Jampel, I. Nyoman

2016-01-01

This classroom action research aimed to improve the students' creative thinking and achievement in learning science. It conducted through the implementation of multiple intelligences with mind mapping approach and describing the students' responses. The subjects of this research were the fifth grade students of SD 8 Tianyar Barat, Kubu, and…

Dealing with academic dishonesty: a redemptive approach.

PubMed

Nick, Jan M; Llaguno, Marian

2015-01-01

Studies reveal that as many as 80% of college students cheat; over half do not think cheating is a serious transgression. Developing integrity in nursing students is crucial, as their later actions impact patients' lives. How can educators foster academic integrity? Two educators from a Christian university relay how they approached a student's cheating and the transformative lessons they learned.

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,…

Reconstructing constructivism: causal models, Bayesian learning mechanisms, and the theory theory.

PubMed

Gopnik, Alison; Wellman, Henry M

2012-11-01

We propose a new version of the "theory theory" grounded in the computational framework of probabilistic causal models and Bayesian learning. Probabilistic models allow a constructivist but rigorous and detailed approach to cognitive development. They also explain the learning of both more specific causal hypotheses and more abstract framework theories. We outline the new theoretical ideas, explain the computational framework in an intuitive and nontechnical way, and review an extensive but relatively recent body of empirical results that supports these ideas. These include new studies of the mechanisms of learning. Children infer causal structure from statistical information, through their own actions on the world and through observations of the actions of others. Studies demonstrate these learning mechanisms in children from 16 months to 4 years old and include research on causal statistical learning, informal experimentation through play, and imitation and informal pedagogy. They also include studies of the variability and progressive character of intuitive theory change, particularly theory of mind. These studies investigate both the physical and the psychological and social domains. We conclude with suggestions for further collaborative projects between developmental and computational cognitive scientists.

Balancing Bologna: opportunities for university teaching that integrates academic and practical learning outcomes

NASA Astrophysics Data System (ADS)

Probst, Lorenz; Pflug, Verena; Brandenburg, Christiane; Guggenberger, Thomas; Mentler, Axel; Wurzinger, Maria

2014-05-01

In the course of the Bologna Process, the quality of university teaching has become more prominent in the discourse on higher education. More attention is now paid to didactics and methods and learner-oriented modes of teaching are introduced. The application of knowledge, practical skills and in consequence the employability of university graduates have become requirements for university teaching. Yet, the lecture-style approach still dominates European universities, although empirical evidence confirms that student-centred, interdisciplinary and experiential learning is more effective. Referring to the learning taxonomy introduced by Bloom, we argue that standard approaches rarely move beyond the learning level of comprehension and fail to reach the levels of application, analysis, synthesis and evaluation. Considering the rapid changes and multiple challenges society faces today, responsible practitioners and scientists who can improve the current management of natural resources are urgently needed. Universities are expected to equip their graduates with the necessary skills to reflect and evaluate their actions when addressing 'real world' problems in order to improve impact and relevance of their work. Higher education thus faces the challenge of providing multi-level learning opportunities for students with diverse practical and theoretical learning needs. In this study, we reflect on three cases of university teaching attempting to bridge theory and practice and based on the principles of systemic, problem based learning. The described courses focus on organic farming, rural development and landscape planning and take place in Uganda, Nicaragua and Italy. We show that being part of a real-world community of stakeholders requires hands-on learning and the reflection and evaluation of actions. This prepares students in a more effective and realistic way for their future roles as responsible decision makers in complex social, economic and ecological systems. We thus conclude that in order (1) to meet the goals of the Bologna process; and (2) to bridge the gap between theory and practice in higher education, university teaching needs to radically reconsider its standard forms of teaching. We propose a fundamental shift towards action learning in real-world settings, empowering students to become responsible actors.

The theory of reasoned action as parallel constraint satisfaction: towards a dynamic computational model of health behavior.

PubMed

Orr, Mark G; Thrush, Roxanne; Plaut, David C

2013-01-01

The reasoned action approach, although ubiquitous in health behavior theory (e.g., Theory of Reasoned Action/Planned Behavior), does not adequately address two key dynamical aspects of health behavior: learning and the effect of immediate social context (i.e., social influence). To remedy this, we put forth a computational implementation of the Theory of Reasoned Action (TRA) using artificial-neural networks. Our model re-conceptualized behavioral intention as arising from a dynamic constraint satisfaction mechanism among a set of beliefs. In two simulations, we show that constraint satisfaction can simultaneously incorporate the effects of past experience (via learning) with the effects of immediate social context to yield behavioral intention, i.e., intention is dynamically constructed from both an individual's pre-existing belief structure and the beliefs of others in the individual's social context. In a third simulation, we illustrate the predictive ability of the model with respect to empirically derived behavioral intention. As the first known computational model of health behavior, it represents a significant advance in theory towards understanding the dynamics of health behavior. Furthermore, our approach may inform the development of population-level agent-based models of health behavior that aim to incorporate psychological theory into models of population dynamics.

The Theory of Reasoned Action as Parallel Constraint Satisfaction: Towards a Dynamic Computational Model of Health Behavior

PubMed Central

Orr, Mark G.; Thrush, Roxanne; Plaut, David C.

2013-01-01

The reasoned action approach, although ubiquitous in health behavior theory (e.g., Theory of Reasoned Action/Planned Behavior), does not adequately address two key dynamical aspects of health behavior: learning and the effect of immediate social context (i.e., social influence). To remedy this, we put forth a computational implementation of the Theory of Reasoned Action (TRA) using artificial-neural networks. Our model re-conceptualized behavioral intention as arising from a dynamic constraint satisfaction mechanism among a set of beliefs. In two simulations, we show that constraint satisfaction can simultaneously incorporate the effects of past experience (via learning) with the effects of immediate social context to yield behavioral intention, i.e., intention is dynamically constructed from both an individual’s pre-existing belief structure and the beliefs of others in the individual’s social context. In a third simulation, we illustrate the predictive ability of the model with respect to empirically derived behavioral intention. As the first known computational model of health behavior, it represents a significant advance in theory towards understanding the dynamics of health behavior. Furthermore, our approach may inform the development of population-level agent-based models of health behavior that aim to incorporate psychological theory into models of population dynamics. PMID:23671603

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…

Action, outcome, and value: a dual-system framework for morality.

PubMed

Cushman, Fiery

2013-08-01

Dual-system approaches to psychology explain the fundamental properties of human judgment, decision making, and behavior across diverse domains. Yet, the appropriate characterization of each system is a source of debate. For instance, a large body of research on moral psychology makes use of the contrast between "emotional" and "rational/cognitive" processes, yet even the chief proponents of this division recognize its shortcomings. Largely independently, research in the computational neurosciences has identified a broad division between two algorithms for learning and choice derived from formal models of reinforcement learning. One assigns value to actions intrinsically based on past experience, while another derives representations of value from an internally represented causal model of the world. This division between action- and outcome-based value representation provides an ideal framework for a dual-system theory in the moral domain.

Appreciative Pedagogy: Constructing Positive Models for Learning.

ERIC Educational Resources Information Center

Yballe, Leodones; O'Connor, Dennis

2000-01-01

Appreciative inquiry, an approach focused on generation of a vision for an organization, may be adapted for management classes. Students and teachers conduct collaborative inquiry into successful experiences, creating positive images that generate positive action in the classroom. (SK)

Measurement Tools for Integrated Worker Health Protection and Promotion: Lessons Learned From the SafeWell Project.

PubMed

Pronk, Nicolaas P; McLellan, Deborah L; McGrail, Michael P; Olson, Shawn M; McKinney, Zeke J; Katz, Jeffrey N; Wagner, Gregory R; Sorensen, Glorian

2016-07-01

To describe (a) a conceptual approach, (b) measurement tools and data collection processes, (c) characteristics of an integrated feedback report and action plan, and (d) experiences of three companies with an integrated measurement approach to worker safety and health. Three companies implemented measurement tools designed to create an integrated view of health protection and promotion based on organizational- and individual-level assessments. Feedback and recommended actions were presented following assessments at baseline and 1-year follow-up. Measurement processes included group dialogue sessions, walk-through, online surveys, and focus groups. The approach and measurement tools generated actionable recommendations and documented changes in the physical (eg, safety hazards) and psychosocial (eg, health and safety culture) work environment between baseline and 1-year follow-up. The measurement tools studied were feasible, acceptable, and meaningful to companies in the SafeWell study.

Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming.

PubMed

Mu, Chaoxu; Ni, Zhen; Sun, Changyin; He, Haibo

2017-03-01

In this paper, we propose a data-driven supplementary control approach with adaptive learning capability for air-breathing hypersonic vehicle tracking control based on action-dependent heuristic dynamic programming (ADHDP). The control action is generated by the combination of sliding mode control (SMC) and the ADHDP controller to track the desired velocity and the desired altitude. In particular, the ADHDP controller observes the differences between the actual velocity/altitude and the desired velocity/altitude, and then provides a supplementary control action accordingly. The ADHDP controller does not rely on the accurate mathematical model function and is data driven. Meanwhile, it is capable to adjust its parameters online over time under various working conditions, which is very suitable for hypersonic vehicle system with parameter uncertainties and disturbances. We verify the adaptive supplementary control approach versus the traditional SMC in the cruising flight, and provide three simulation studies to illustrate the improved performance with the proposed approach.

Learning, remembering, and predicting how to use tools: Distributed neurocognitive mechanisms

PubMed Central

Buxbaum, Laurel J.

2016-01-01

The reasoning-based approach championed by Francois Osiurak and Arnaud Badets (Osiurak & Badets, 2016) denies the existence of sensory-motor memories of tool use except in limited circumstances, and suggests instead that most tool use is subserved solely by online technical reasoning about tool properties. In this commentary, I highlight the strengths and limitations of the reasoning-based approach and review a number of lines of evidence that manipulation knowledge is in fact used in tool action tasks. In addition, I present a “two route” neurocognitive model of tool use called the “Two Action Systems Plus (2AS+)” framework that posits a complementary role for online and stored information and specifies the neurocognitive substrates of task-relevant action selection. This framework, unlike the reasoning based approach, has the potential to integrate the existing psychological and functional neuroanatomic data in the tool use domain. PMID:28358565

Leadership development through action learning sets: an evaluation study.

PubMed

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.

Reinforcement learning for routing in cognitive radio ad hoc networks.

PubMed

Al-Rawi, Hasan A A; Yau, Kok-Lim Alvin; Mohamad, Hafizal; Ramli, Nordin; Hashim, Wahidah

2014-01-01

Cognitive radio (CR) enables unlicensed users (or secondary users, SUs) to sense for and exploit underutilized licensed spectrum owned by the licensed users (or primary users, PUs). Reinforcement learning (RL) is an artificial intelligence approach that enables a node to observe, learn, and make appropriate decisions on action selection in order to maximize network performance. Routing enables a source node to search for a least-cost route to its destination node. While there have been increasing efforts to enhance the traditional RL approach for routing in wireless networks, this research area remains largely unexplored in the domain of routing in CR networks. This paper applies RL in routing and investigates the effects of various features of RL (i.e., reward function, exploitation, and exploration, as well as learning rate) through simulation. New approaches and recommendations are proposed to enhance the features in order to improve the network performance brought about by RL to routing. Simulation results show that the RL parameters of the reward function, exploitation, and exploration, as well as learning rate, must be well regulated, and the new approaches proposed in this paper improves SUs' network performance without significantly jeopardizing PUs' network performance, specifically SUs' interference to PUs.

Reinforcement Learning for Routing in Cognitive Radio Ad Hoc Networks

PubMed Central

Al-Rawi, Hasan A. A.; Mohamad, Hafizal; Hashim, Wahidah

2014-01-01

Cognitive radio (CR) enables unlicensed users (or secondary users, SUs) to sense for and exploit underutilized licensed spectrum owned by the licensed users (or primary users, PUs). Reinforcement learning (RL) is an artificial intelligence approach that enables a node to observe, learn, and make appropriate decisions on action selection in order to maximize network performance. Routing enables a source node to search for a least-cost route to its destination node. While there have been increasing efforts to enhance the traditional RL approach for routing in wireless networks, this research area remains largely unexplored in the domain of routing in CR networks. This paper applies RL in routing and investigates the effects of various features of RL (i.e., reward function, exploitation, and exploration, as well as learning rate) through simulation. New approaches and recommendations are proposed to enhance the features in order to improve the network performance brought about by RL to routing. Simulation results show that the RL parameters of the reward function, exploitation, and exploration, as well as learning rate, must be well regulated, and the new approaches proposed in this paper improves SUs' network performance without significantly jeopardizing PUs' network performance, specifically SUs' interference to PUs. PMID:25140350

Interim Reflections on the Corporate University and SME Academy Business Development Innovation and Its Diffusion

ERIC Educational Resources Information Center

Dealtry, Richard

2008-01-01

Purpose: The purpose of this paper is to reflect on and inform about learning points from ECUANET, a two-year duration best practice action research and transnational networking project as it approaches its final stage. Design/methodology/approach: The paper explicates the key positive and obfuscating dynamics that the project team have had to,…

The Integrated Approach versus the Traditional Approach: Analyzing the Benefits of a Dance and Transportation Integrated Curriculum

ERIC Educational Resources Information Center

LaMotte, Megan

2018-01-01

The purpose of the study was to examine the effects of a dance and transportation integrated curriculum on student learning and engagement. The curriculum, entitled Consequences of Our Actions: Dance and Transportation, synthesized transportation content with the art form of dance. The experimental and control groups were comprised of fifth-grade…

Action with Friction: A Transactional Approach to Toddlers' Physical Meaning Making of Natural Phenomena and Processes in Preschool

ERIC Educational Resources Information Center

Klaar, Susanne; Ohman, Johan

2012-01-01

Research into preschool education has paid a lot of attention to investigating children's conceptual development and cognitive learning about nature, with methods based on observations and verbal interviews before and after a teaching period. The purpose of this study has been to present and illustrate an approach that facilitates the analysis of…

Generation Y, Learner Autonomy and the Potential of Web 2.0 Tools for Language Learning and Teaching

ERIC Educational Resources Information Center

Morgan, Liam

2012-01-01

Purpose: The purpose of this paper is to examine the relationship between the development of learner autonomy and the application of Web 2.0 tools in the language classroom. Design/methodology/approach: The approach taken is that of qualitative action research within an explicit theoretical framework and the data were collected via surveys and…

The Assessment of Math Learning Difficulties in a Primary Grade-4 Child with High Support Needs: Mixed Methods Approach

ERIC Educational Resources Information Center

Mundia, Lawrence

2012-01-01

This mixed-methods study incorporated elements of survey, case study and action research approaches in investigating an at-risk child. Using an in-take interview, a diagnostic test, an error analysis, and a think-aloud clinical interview, the study identified the child's major presenting difficulties. These included: inability to use the four…

Early error detection: an action-research experience teaching vector calculus

NASA Astrophysics Data System (ADS)

Magdalena Añino, María; Merino, Gabriela; Miyara, Alberto; Perassi, Marisol; Ravera, Emiliano; Pita, Gustavo; Waigandt, Diana

2014-04-01

This paper describes an action-research experience carried out with second year students at the School of Engineering of the National University of Entre Ríos, Argentina. Vector calculus students played an active role in their own learning process. They were required to present weekly reports, in both oral and written forms, on the topics studied, instead of merely sitting and watching as the teacher solved problems on the blackboard. The students were also asked to perform computer assignments, and their learning process was continuously monitored. Among many benefits, this methodology has allowed students and teachers to identify errors and misconceptions that might have gone unnoticed under a more passive approach.

Human behavior recognition using a context-free grammar

NASA Astrophysics Data System (ADS)

Rosani, Andrea; Conci, Nicola; De Natale, Francesco G. B.

2014-05-01

Automatic recognition of human activities and behaviors is still a challenging problem for many reasons, including limited accuracy of the data acquired by sensing devices, high variability of human behaviors, and gap between visual appearance and scene semantics. Symbolic approaches can significantly simplify the analysis and turn raw data into chains of meaningful patterns. This allows getting rid of most of the clutter produced by low-level processing operations, embedding significant contextual information into the data, as well as using simple syntactic approaches to perform the matching between incoming sequences and models. We propose a symbolic approach to learn and detect complex activities through the sequences of atomic actions. Compared to previous methods based on context-free grammars, we introduce several important novelties, such as the capability to learn actions based on both positive and negative samples, the possibility of efficiently retraining the system in the presence of misclassified or unrecognized events, and the use of a parsing procedure that allows correct detection of the activities also when they are concatenated and/or nested one with each other. An experimental validation on three datasets with different characteristics demonstrates the robustness of the approach in classifying complex human behaviors.

Economic dimensions of sustainable development, the fight against poverty and educational responses

NASA Astrophysics Data System (ADS)

Ahmed, Manzoor

2010-06-01

The arguments in the article are based on the ongoing discourse in the academic community and among stakeholders, which has contributed to the articulation of the concepts and premises of sustainable development and the role of learning modalities, technologies and networks. The article draws on this discourse to explore the economic aspects of sustainable development, focusing on pervasive poverty, and the implications for educational actions. The concepts and underlying premises of education for sustainable development (ESD) are discussed. The article presents the key elements of an integrated approach to fighting poverty in the context of sustainable development. The role of learning and education in this integrated approach is outlined, framing the educational elements within the perspective of lifelong learning.

Accreditation of prior learning: andragogy in action or a 'cut price' approach to education?

PubMed

Howard, S

1993-11-01

The rapid changes in nurse education are proceeding within the wider context of developments in adjacent educational fields, which are themselves subject to external influences, and one such development is the accreditation of prior experiential learning (APEL). In order to be critically aware of the potential involved in embracing this concept, it is necessary to clarify and examine the influencing factors which guide the current andragogical climate of nurse education, and those which predispose to the recognition of APEL. Utilizing a case-study approach, this paper will examine the relevant issues as they relate to experienced students pursuing the learning outcomes of Project 2000, and will address the question of value for all parties concerned.

The use of "vertical integration groups" to help define and update course/clerkship content.

PubMed

Nierenberg, D W

1998-10-01

Faculty at many medical schools are working hard to improve the quality of their curricula. While the world "curriculum" means different things to different people, curricular change often includes improving the structure of the teaching/learning environment (e.g., seminars or problem-based learning groups vs lectures), the content of courses and clerkships (the core set of knowledge, skills, and attitudes that should be learned), and the manner in which student learning of knowledge and skills is evaluated (the sense that evaluation can help "drive" the curriculum). The author describes how "vertical integration groups" have been used over four years at Dartmouth Medical School to improve and modernize the content of courses and clerkships. In this approach, students and faculty work together to address and improve content areas that normally are not associated with traditional, discipline-centered courses or clerkships. The author discusses the advantages of this approach, the challenges encountered during implementation, and examples of how the approach has been put into action.

Habits, action sequences, and reinforcement learning

PubMed Central

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

Do quality improvement collaboratives' educational components match the dominant learning style preferences of the participants?

PubMed

Weggelaar-Jansen, Anne Marie; van Wijngaarden, Jeroen; Slaghuis, Sarah-Sue

2015-06-20

Quality improvement collaboratives are used to improve healthcare by various organizations. Despite their popularity literature shows mixed results on their effectiveness. A quality improvement collaborative can be seen as a temporary learning organization in which knowledge about improvement themes and methods is exchanged. In this research we studied: Does the learning approach of a quality improvement collaborative match the learning styles preferences of the individual participants and how does that affect the learning process of participants? This research used a mixed methods design combining a validated learning style questionnaire with data collected in the tradition of action research methodology to study two Dutch quality improvement collaboratives. The questionnaire is based on the learning style model of Ruijters and Simons, distinguishing five learning style preferences: Acquisition of knowledge, Apperception from others, Discovery of new insights, Exercising in fictitious situations and Participation with others. The most preferred learning styles of the participants were Discovery and Participation. The learning style Acquisition was moderately preferred and Apperception and Exercising were least preferred. The educational components of the quality improvement collaboratives studied (national conferences, half-day learning sessions, faculty site visits and use of an online tool) were predominantly associated with the learning styles Acquisition and Apperception. We observed a decrease in attendance to the learning activities and non-conformance with the standardized set goals and approaches. We conclude that the participants' satisfaction with the offered learning approach changed over time. The lacking match between these learning style preferences and the learning approach in the educational components of the quality improvement collaboratives studied might be the reason why the participants felt they did not gain new insights and therefore ceased their participation in the collaborative. This study provides guidance for future organisers and participants of quality improvement collaboratives about which learning approaches will best suit the participants and enhance improvement work.

Is there a need for a specific educational scholarship for using e-learning in medical education?

PubMed

Sandars, John; Goh, Poh Sun

2016-10-01

We propose the need for a specific educational scholarship when using e-learning in medical education. Effective e-learning has additional factors that require specific critical attention, including the design and delivery of e-learning. An important aspect is the recognition that e-learning is a complex intervention, with several interconnecting components that have to be aligned. This alignment requires an essential iterative development process with usability testing. Effectiveness of e-learning in one context may not be fully realized in another context unless there is further consideration of applicability and scalability. We recommend a participatory approach for an educational scholarship for using e-learning in medical education, such as by action research or design-based research.

Teaching clinical reasoning by making thinking visible: an action research project with allied health clinical educators.

PubMed

Delany, Clare; Golding, Clinton

2014-01-30

Clinical reasoning is fundamental to all forms of professional health practice, however it is also difficult to teach and learn because it is complex, tacit, and effectively invisible for students. In this paper we present an approach for teaching clinical reasoning based on making expert thinking visible and accessible to students. Twenty-one experienced allied health clinical educators from three tertiary Australian hospitals attended up to seven action research discussion sessions, where they developed a tentative heuristic of their own clinical reasoning, trialled it with students, evaluated if it helped their students to reason clinically, and then refined it so the heuristic was targeted to developing each student's reasoning skills. Data included participants' written descriptions of the thinking routines they developed and trialed with their students and the transcribed action research discussion sessions. Content analysis was used to summarise this data and categorise themes about teaching and learning clinical reasoning. Two overriding themes emerged from participants' reports about using the 'making thinking visible approach'. The first was a specific focus by participating educators on students' understanding of the reasoning process and the second was heightened awareness of personal teaching styles and approaches to teaching clinical reasoning. We suggest that the making thinking visible approach has potential to assist educators to become more reflective about their clinical reasoning teaching and acts as a scaffold to assist them to articulate their own expert reasoning and for students to access and use.

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…

Student nurses' experiences of using a learning contract as a method of assessment.

PubMed

Bailey, Maria E; Tuohy, Dympna

2009-10-01

The purpose of this study was to describe final year undergraduate nurses' experiences of assessment through the use of a learning contract. Using a qualitative descriptive design, data was collected from a purposive sample of final (fourth) year undergraduate student nurses. Two approaches were taken for data collection, anonymous evaluative questionnaires and interviews. The study was approved by the local university research and ethics committee. Data was thematically analysed. This article presents and discusses the findings from the interviews. Findings suggest that students' approach to the assessment strategy influenced engagement with the learning contract. Three themes were identified: skills, perceptions, and actions. Within these themes three types of learner were identified: happy, pragmatic and fearful. Factors found to influence successful completion of the learning contract were: support, relevant skills, prior experiential learning and required theoretical knowledge. Recommendations include the need for educators to consider module assessments that recognise the learning needs and preferences of the student within a supportive environment.

Dynamic Sensor Tasking for Space Situational Awareness via Reinforcement Learning

NASA Astrophysics Data System (ADS)

Linares, R.; Furfaro, R.

2016-09-01

This paper studies the Sensor Management (SM) problem for optical Space Object (SO) tracking. The tasking problem is formulated as a Markov Decision Process (MDP) and solved using Reinforcement Learning (RL). The RL problem is solved using the actor-critic policy gradient approach. The actor provides a policy which is random over actions and given by a parametric probability density function (pdf). The critic evaluates the policy by calculating the estimated total reward or the value function for the problem. The parameters of the policy action pdf are optimized using gradients with respect to the reward function. Both the critic and the actor are modeled using deep neural networks (multi-layer neural networks). The policy neural network takes the current state as input and outputs probabilities for each possible action. This policy is random, and can be evaluated by sampling random actions using the probabilities determined by the policy neural network's outputs. The critic approximates the total reward using a neural network. The estimated total reward is used to approximate the gradient of the policy network with respect to the network parameters. This approach is used to find the non-myopic optimal policy for tasking optical sensors to estimate SO orbits. The reward function is based on reducing the uncertainty for the overall catalog to below a user specified uncertainty threshold. This work uses a 30 km total position error for the uncertainty threshold. This work provides the RL method with a negative reward as long as any SO has a total position error above the uncertainty threshold. This penalizes policies that take longer to achieve the desired accuracy. A positive reward is provided when all SOs are below the catalog uncertainty threshold. An optimal policy is sought that takes actions to achieve the desired catalog uncertainty in minimum time. This work trains the policy in simulation by letting it task a single sensor to "learn" from its performance. The proposed approach for the SM problem is tested in simulation and good performance is found using the actor-critic policy gradient method.

REsearch into implementation STrategies to support patients of different ORigins and language background in a variety of European primary care settings (RESTORE): study protocol.

PubMed

MacFarlane, Anne; O'Donnell, Catherine; Mair, Frances; O'Reilly-de Brún, Mary; de Brún, Tomas; Spiegel, Wolfgang; van den Muijsenbergh, Maria; van Weel-Baumgarten, Evelyn; Lionis, Christos; Burns, Nicola; Gravenhorst, Katja; Princz, Christine; Teunissen, Erik; van den Driessen Mareeuw, Francine; Saridaki, Aristoula; Papadakaki, Maria; Vlahadi, Maria; Dowrick, Christopher

2012-11-20

The implementation of guidelines and training initiatives to support communication in cross-cultural primary care consultations is ad hoc across a range of international settings with negative consequences particularly for migrants. This situation reflects a well-documented translational gap between evidence and practice and is part of the wider problem of implementing guidelines and the broader range of professional educational and quality interventions in routine practice. In this paper, we describe our use of a contemporary social theory, Normalization Process Theory and participatory research methodology--Participatory Learning and Action--to investigate and support implementation of such guidelines and training initiatives in routine practice. This is a qualitative case study, using multiple primary care sites across Europe. Purposive and maximum variation sampling approaches will be used to identify and recruit stakeholders-migrant service users, general practitioners, primary care nurses, practice managers and administrative staff, interpreters, cultural mediators, service planners, and policy makers. We are conducting a mapping exercise to identify relevant guidelines and training initiatives. We will then initiate a PLA-brokered dialogue with stakeholders around Normalization Process Theory's four constructs--coherence, cognitive participation, collective action, and reflexive monitoring. Through this, we will enable stakeholders in each setting to select a single guideline or training initiative for implementation in their local setting. We will prospectively investigate and support the implementation journeys for the five selected interventions. Data will be generated using a Participatory Learning and Action approach to interviews and focus groups. Data analysis will follow the principles of thematic analysis, will occur in iterative cycles throughout the project and will involve participatory co-analysis with key stakeholders to enhance the authenticity and veracity of findings. This research employs a unique combination of Normalization Process Theory and Participatory Learning and Action, which will provide a novel approach to the analysis of implementation journeys. The findings will advance knowledge in the field of implementation science because we are using and testing theoretical and methodological approaches so that we can critically appraise their scope to mediate barriers and improve the implementation processes.

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…

Intelligent Tutoring Methods for Optimizing Learning Outcomes with Embedded Training

DTIC Science & Technology

2009-01-01

used to stimulate learning activities, from practice events with real-time coaching, to exercises with after action review. Particularly with free - play virtual...variations of correct performance can be prohibitive in free - play scenarios, and so for such conditions this has led to a state-based approach for...tiered logic that evaluates team member R for proper execution during free - play execution. In the first tier, the evaluation must know when it

Variation and adaptation: learning from success in patient safety-oriented simulation training.

PubMed

Dieckmann, Peter; Patterson, Mary; Lahlou, Saadi; Mesman, Jessica; Nyström, Patrik; Krage, Ralf

2017-01-01

Simulation is traditionally used to reduce errors and their negative consequences. But according to modern safety theories, this focus overlooks the learning potential of the positive performance, which is much more common than errors. Therefore, a supplementary approach to simulation is needed to unfold its full potential. In our commentary, we describe the learning from success (LFS) approach to simulation and debriefing. Drawing on several theoretical frameworks, we suggest supplementing the widespread deficit-oriented, corrective approach to simulation with an approach that focusses on systematically understanding how good performance is produced in frequent (mundane) simulation scenarios. We advocate to investigate and optimize human activity based on the connected layers of any setting: the embodied competences of the healthcare professionals, the social and organizational rules that guide their actions, and the material aspects of the setting. We discuss implications of these theoretical perspectives for the design and conduct of simulation scenarios, post-simulation debriefings, and faculty development programs.

Learning among nursing faculty: insights from a participatory action research project about teaching international students.

PubMed

Del Fabbro, Letitia; Mitchell, Creina; Shaw, Julie

2015-03-01

It is imperative that nursing education addresses the issues arising from globalization. The adjustment challenges faced by international nursing students globally highlight the need to understand how nursing faculty experience and teach nursing classes with a mix of domestic and foreign students. This article reports on a participatory action research (PAR) study to examine and enhance the scholarly teaching of international nursing students. The overarching research question for this PAR was: How did participation in a PAR study contribute to shared learning and professional development of nursing faculty teaching international students? Five major themes were identified across the PAR: creating sharing spaces, recognizing and respecting diversity, developing and acknowledging teaching capabilities, utilizing precious time, and valuing the research. In summary, PAR was a useful approach to engage faculty in research by providing a process and a space to address concerns about the teaching and learning of international students. Copyright 2015, SLACK Incorporated.

Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning.

PubMed

Chalmers, Eric; Contreras, Edgar Bermudez; Robertson, Brandon; Luczak, Artur; Gruber, Aaron

2017-04-17

The reinforcement learning (RL) paradigm allows agents to solve tasks through trial-and-error learning. To be capable of efficient, long-term learning, RL agents should be able to apply knowledge gained in the past to new tasks they may encounter in the future. The ability to predict actions' consequences may facilitate such knowledge transfer. We consider here domains where an RL agent has access to two kinds of information: agent-centric information with constant semantics across tasks, and environment-centric information, which is necessary to solve the task, but with semantics that differ between tasks. For example, in robot navigation, environment-centric information may include the robot's geographic location, while agent-centric information may include sensor readings of various nearby obstacles. We propose that these situations provide an opportunity for a very natural style of knowledge transfer, in which the agent learns to predict actions' environmental consequences using agent-centric information. These predictions contain important information about the affordances and dangers present in a novel environment, and can effectively transfer knowledge from agent-centric to environment-centric learning systems. Using several example problems including spatial navigation and network routing, we show that our knowledge transfer approach can allow faster and lower cost learning than existing alternatives.

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…

Adult Cleaner Wrasse Outperform Capuchin Monkeys, Chimpanzees and Orang-utans in a Complex Foraging Task Derived from Cleaner – Client Reef Fish Cooperation

PubMed Central

Proctor, Darby; Essler, Jennifer; Pinto, Ana I.; Wismer, Sharon; Stoinski, Tara; Brosnan, Sarah F.; Bshary, Redouan

2012-01-01

The insight that animals' cognitive abilities are linked to their evolutionary history, and hence their ecology, provides the framework for the comparative approach. Despite primates renowned dietary complexity and social cognition, including cooperative abilities, we here demonstrate that cleaner wrasse outperform three primate species, capuchin monkeys, chimpanzees and orang-utans, in a foraging task involving a choice between two actions, both of which yield identical immediate rewards, but only one of which yields an additional delayed reward. The foraging task decisions involve partner choice in cleaners: they must service visiting client reef fish before resident clients to access both; otherwise the former switch to a different cleaner. Wild caught adult, but not juvenile, cleaners learned to solve the task quickly and relearned the task when it was reversed. The majority of primates failed to perform above chance after 100 trials, which is in sharp contrast to previous studies showing that primates easily learn to choose an action that yields immediate double rewards compared to an alternative action. In conclusion, the adult cleaners' ability to choose a superior action with initially neutral consequences is likely due to repeated exposure in nature, which leads to specific learned optimal foraging decision rules. PMID:23185293

Computational approaches to motor learning by imitation.

PubMed Central

Schaal, Stefan; Ijspeert, Auke; Billard, Aude

2003-01-01

Movement imitation requires a complex set of mechanisms that map an observed movement of a teacher onto one's own movement apparatus. Relevant problems include movement recognition, pose estimation, pose tracking, body correspondence, coordinate transformation from external to egocentric space, matching of observed against previously learned movement, resolution of redundant degrees-of-freedom that are unconstrained by the observation, suitable movement representations for imitation, modularization of motor control, etc. All of these topics by themselves are active research problems in computational and neurobiological sciences, such that their combination into a complete imitation system remains a daunting undertaking-indeed, one could argue that we need to understand the complete perception-action loop. As a strategy to untangle the complexity of imitation, this paper will examine imitation purely from a computational point of view, i.e. we will review statistical and mathematical approaches that have been suggested for tackling parts of the imitation problem, and discuss their merits, disadvantages and underlying principles. Given the focus on action recognition of other contributions in this special issue, this paper will primarily emphasize the motor side of imitation, assuming that a perceptual system has already identified important features of a demonstrated movement and created their corresponding spatial information. Based on the formalization of motor control in terms of control policies and their associated performance criteria, useful taxonomies of imitation learning can be generated that clarify different approaches and future research directions. PMID:12689379

Signs of taste for science: a methodology for studying the constitution of interest in the science classroom

NASA Astrophysics Data System (ADS)

Anderhag, P.; Wickman, P.-O.; Hamza, K. M.

2015-06-01

In this paper we present a methodological approach for analyzing the transformation of interest in science through classroom talk and action. To this end, we use the construct of taste for science as a social and communicative operationalization, or proxy, to the more psychologically oriented construct of interest. To gain a taste for science as part of school science activities means developing habits of performing and valuing certain distinctions about ways to talk, act and be that are jointly construed as belonging in the school science classroom. In this view, to learn science is not only about learning the curriculum content, but also about learning a normative and aesthetic content in terms of habits of distinguishing and valuing. The approach thus complements previous studies on students' interest in science, by making it possible to analyze how taste for science is constituted, moment-by-moment, through talk and action in the science classroom. In developing the method, we supplement theoretical constructs coming from pragmatism and Pierre Bourdieu with empirical data from a lower secondary science classroom. The application of the method to this classroom demonstrates the potential that the approach has for analyzing how conceptual, normative, and aesthetic distinctions within the science classroom interact in the constitution of taste for, and thereby potentially also in the development of interest in science among students.

Reconstructing constructivism: Causal models, Bayesian learning mechanisms and the theory theory

PubMed Central

Gopnik, Alison; Wellman, Henry M.

2012-01-01

We propose a new version of the “theory theory” grounded in the computational framework of probabilistic causal models and Bayesian learning. Probabilistic models allow a constructivist but rigorous and detailed approach to cognitive development. They also explain the learning of both more specific causal hypotheses and more abstract framework theories. We outline the new theoretical ideas, explain the computational framework in an intuitive and non-technical way, and review an extensive but relatively recent body of empirical results that supports these ideas. These include new studies of the mechanisms of learning. Children infer causal structure from statistical information, through their own actions on the world and through observations of the actions of others. Studies demonstrate these learning mechanisms in children from 16 months to 4 years old and include research on causal statistical learning, informal experimentation through play, and imitation and informal pedagogy. They also include studies of the variability and progressive character of intuitive theory change, particularly theory of mind. These studies investigate both the physical and psychological and social domains. We conclude with suggestions for further collaborative projects between developmental and computational cognitive scientists. PMID:22582739

EdREC: Design and Development of Adaptive Platform for Scaling-up Flipped Mastery Learning

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gautam, Thakur

EdREC is an adaptive learning and management platform designed to enhance the adoption of differential classroom and mastery flipped learning in K-12 school system. The platform is an innovative approach to teaching and learning that addresses education needs of each student separately by providing customized education plans and adaptive learning methodologies that tunes to the students abilities as well as giving students freedom to learn in their own way. On one side, EdREC provides innovative ways to help students learn; on the other side, it reduces educators' workload and empowers them to understand their students better. EdREC comes with amore » state-of-the-art computer algorithm package that enables educators to store and retrieve their students' information and augment their abilities to individualize student attention, get real-time feedback about student education progress, and provide corrective actions. The platform provides approaches to design and develop a differential classroom concept that frees much needed time by the teachers to focus more on the students at the individual level and to increase communication and collaboration opportunities among them.« less

Inquiring into the Dilemmas of Implementing Action Learning. Innovative Session 6. [Concurrent Innovative Session at AHRD Annual Conference, 2000.

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…

How does feedback in mini-CEX affect students' learning response?

PubMed

Sudarso, Sulistiawati; Rahayu, Gandes Retno; Suhoyo, Yoyo

2016-12-19

This study was aimed to explore students' learning response toward feedback during mini-CEX encounter. This study used a phenomenological approach to identify the students' experiences toward feedback during mini-CEX encounter. Data was collected using Focus Group Discussion (FGD) for all students who were in their final week of clerkship in the internal medicine rotation. There were 4 FGD groups (6 students for each group). All FGD were audio-taped and transcribed verbatim. The FGD transcripts were analyzed thematically and managed using Atlas-ti (version 7.0). Feedback content and the way of providing feedback on mini-CEX stimulated students' internal process, including self-reflection, emotional response, and motivation. These internal processes encouraged the students to take action or do a follow-up on the feedback to improve their learning process. In addition, there was also an external factor, namely consequences, which also influenced the students' reaction to the follow-up on feedback. In the end, this action caused several learning effects that resulted in the students' increased self-efficacy, attitude, knowledge and clinical skill. Feedback content and the way of providing feedback on mini-CEX stimulates the students' internal processes to do a follow-up on feedback. However, another external factor also affects the students' decision on the follow-up actions. The follow-ups result in various learning effects on the students. Feedback given along with summative assessment enhances learning effects on students, as well. It is suggested that supervisors of clinical education are prepared to comprehend every factor influencing feedback on mini CEX to improve the students' learning response.

A graduate education framework for tropical conservation and development.

PubMed

Kainer, Karen A; Schmink, Marianne; Covert, Hannah; Stepp, John Richard; Bruna, Emilio M; Dain, Jonathan L; Espinosa, Santiago; Humphries, Shoana

2006-02-01

Conventional graduate training related to tropical conservation and development has typically separated the two fields, with students focusing on either conservation from the perspective of the biophysical sciences or development as an extension of the social sciences. On entering the workforce, however graduates find they are required to work beyond disciplinary boundaries to address the complex interconnectivity between biological conservation and human well-being. We devised a framework for graduate education that broadens students' skill sets to learn outside their immediate disciplines and think in terms of linked socioecological systems, work in teams, communicate in nonacademic formats, and reflect critically on their own perspectives and actions. The University of Florida's Tropical Conservation and Development program has adopted a learning and action platform that blends theory, skills, and praxis to create an intellectual, social, and professionally safe space where students, faculty, and other participants can creatively address the complex challenges of tropical conservation and development. This platform operates within a nondegree-granting program and includes core courses that are taught by a team of biophysical and social scientists. It incorporates a range of alternative learning spaces such as student-led workshops, retreats, visiting professionals, practitioner experiences, and a weekly student-led seminar that collectively encourage students and faculty to enhance their skills and systematically and thoroughly reflect on program activities. Challenges to the described approach include increased service demands on faculty, a redefinition of research excellence to include effective and equitable collaboration with host-country partners, and the trade-offs and uncertainties inherent in more collaborative, interdisciplinary research. Despite these challenges, growing interdisciplinary programs, coupled with adaptive educational approaches that emphasize learning and action networks of students, faculty, and field partners, provide the best hope for responding to the emerging challenges of tropical conservation and development.

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…

Laboratory studies of imitation/field studies of tradition: towards a synthesis in animal social learning.

PubMed

Galef, Bennett G

2015-03-01

Here I discuss: (1) historical precedents that have resulted in comparative psychologists accepting the two-action method as the "gold standard" in laboratory investigations of imitation learning, (2) evidence suggesting that the two-action procedure may not be adequate to answer questions concerning the role of imitation in the development of traditional behaviors of animals living in natural habitat, and (3) an alternative approach to the laboratory study of imitation that might increase the relevance of laboratory studies of imitation to the work of behavioral ecologists/primatologists interested in animal traditions and their relationship to human cumulative culture. This article is part of a Special Issue entitled: Tribute to Tom Zentall. Copyright © 2014 Elsevier B.V. All rights reserved.

Mirror neurons: from origin to function.

PubMed

Cook, Richard; Bird, Geoffrey; Catmur, Caroline; Press, Clare; Heyes, Cecilia

2014-04-01

This article argues that mirror neurons originate in sensorimotor associative learning and therefore a new approach is needed to investigate their functions. Mirror neurons were discovered about 20 years ago in the monkey brain, and there is now evidence that they are also present in the human brain. The intriguing feature of many mirror neurons is that they fire not only when the animal is performing an action, such as grasping an object using a power grip, but also when the animal passively observes a similar action performed by another agent. It is widely believed that mirror neurons are a genetic adaptation for action understanding; that they were designed by evolution to fulfill a specific socio-cognitive function. In contrast, we argue that mirror neurons are forged by domain-general processes of associative learning in the course of individual development, and, although they may have psychological functions, they do not necessarily have a specific evolutionary purpose or adaptive function. The evidence supporting this view shows that (1) mirror neurons do not consistently encode action "goals"; (2) the contingency- and context-sensitive nature of associative learning explains the full range of mirror neuron properties; (3) human infants receive enough sensorimotor experience to support associative learning of mirror neurons ("wealth of the stimulus"); and (4) mirror neurons can be changed in radical ways by sensorimotor training. The associative account implies that reliable information about the function of mirror neurons can be obtained only by research based on developmental history, system-level theory, and careful experimentation.

Work-based learning using action learning sets.

PubMed

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.

Nursing students learning the pharmacology of diabetes mellitus with complexity-based computerized models: A quasi-experimental study.

PubMed

Dubovi, Ilana; Dagan, Efrat; Sader Mazbar, Ola; Nassar, Laila; Levy, Sharona T

2018-02-01

Pharmacology is a crucial component of medications administration in nursing, yet nursing students generally find it difficult and self-rate their pharmacology skills as low. To evaluate nursing students learning pharmacology with the Pharmacology Inter-Leaved Learning-Cells environment, a novel approach to modeling biochemical interactions using a multiscale, computer-based model with a complexity perspective based on a small set of entities and simple rules. This environment represents molecules, organelles and cells to enhance the understanding of cellular processes, and combines these cells at a higher scale to obtain whole-body interactions. Sophomore nursing students who learned the pharmacology of diabetes mellitus with the Pharmacology Inter-Leaved Learning-Cells environment (experimental group; n=94) or via a lecture-based curriculum (comparison group; n=54). A quasi-experimental pre- and post-test design was conducted. The Pharmacology-Diabetes-Mellitus questionnaire and the course's final exam were used to evaluate students' knowledge of the pharmacology of diabetes mellitus. Conceptual learning was significantly higher for the experimental than for the comparison group for the course final exam scores (unpaired t=-3.8, p<0.001) and for the Pharmacology-Diabetes-Mellitus questionnaire (U=942, p<0.001). The largest effect size for the Pharmacology-Diabetes-Mellitus questionnaire was for the medication action subscale. Analysis of complex-systems component reasoning revealed a significant difference for micro-macro transitions between the levels (F(1, 82)=6.9, p<0.05). Learning with complexity-based computerized models is highly effective and enhances the understanding of moving between micro and macro levels of the biochemical phenomena, this is then related to better understanding of medication actions. Moreover, the Pharmacology Inter-Leaved Learning-Cells approach provides a more general reasoning scheme for biochemical processes, which enhances pharmacology learning beyond the specific topic learned. The present study implies that deeper understanding of pharmacology will support nursing students' clinical decisions and empower their proficiency in medications administration. Copyright © 2017 Elsevier Ltd. All rights reserved.

Self-regulated Learning in a Hybrid Science Course at a Community College

NASA Astrophysics Data System (ADS)

Manuelito, Shannon Joy

Community college students are attracted to courses with alternative delivery formats such as hybrid courses because the more flexible delivery associated with such courses provides convenience for busy students. In a hybrid course, face-to-face, structured seat time is exchanged for online components. In such courses, students take more responsibility for their learning because they assume additional responsibility for learning more of the course material on their own. Thus, self-regulated learning (SRL) behaviors have the potential to be useful for students to successfully navigate hybrid courses because the online components require exercise of more personal control over the autonomous learning situations inherent in hybrid courses. Self-regulated learning theory includes three components: metacognition, motivation, and behavioral actions. In the current study, this theoretical framework is used to examine how inducing self-regulated learning activities among students taking a hybrid course influence performance in a community college science course. The intervention for this action research study consisted of a suite of activities that engage students in self-regulated learning behaviors to foster student performance. The specific SRL activities included predicting grades, reflections on coursework and study efforts in course preparation logs, explanation of SRL procedures in response to a vignette, photo ethnography work on their personal use of SRL approaches, and a personalized study plan. A mixed method approach was employed to gather evidence for the study. Results indicate that community college students use a variety of self-regulated learning strategies to support their learning of course material. Further, engaging community college students in learning reflection activities appears to afford some students with opportunities to refine their SRL skills and influence their learning. The discussion focuses on integrating the quantitative and qualitative data and explanation of the findings using the SRL framework. Additionally, lessons learned, limitations, and implications for practice and research are discussed. Specifically, it is suggested that instructors can foster student learning in hybrid courses by teaching students to engage in SRL processes and behaviors rather than merely focusing on delivery of course content. Such SRL behaviors allow students to exercise greater control over the autonomous learning situations inherent in hybrid courses.

Understanding the Causal Path between Action, Learning, and Solutions: Maximizing the Power of Action Learning to Achieve Great Results

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…

On acquiring decision making skills for endovascular interventions.

PubMed

Lanzer, Peter; Prechelt, Lutz

2008-11-01

To improve interventional training we propose a staged rational approach for decision making and skill acquisition. Education and training for endovascular interventions should start to develop the learners' decision-making skills by learning from explicit representations of master interventionist's tacit decision-making knowledge through implementation of the notions of generic interventional modules, interventional strategic and tactical designs. We hope that these suggestions will encourage action, stimulate dialogue and advance the precision of our learning, procedures, practice and patient care.

Pre-Service Teacher as Researcher: The Value of Inquiry in Learning Science

NASA Astrophysics Data System (ADS)

Hohloch, Janice M.; Grove, Nathaniel; Lowery Bretz, Stacey

2007-09-01

A pre-service science and mathematics teacher participated in an action research project to reform a chemistry course required of elementary and middle childhood pre-service teachers. Activities to emphasize a hands-on approach to learning chemistry and to model teaching science through inquiry for these pre-service teachers are described. The value of a research experience for pre-service teachers, both upon their student teaching and as a classroom teacher, is discussed.

Improving attitudes toward mathematics learning with problem posing in class VIII

NASA Astrophysics Data System (ADS)

Vionita, Alfha; Purboningsih, Dyah

2017-08-01

This research is classroom action research which is collaborated to improve student's behavior toward math and mathematics learning at class VIII by using problem posing approach. The subject of research is all of students grade VIIIA which consist of 32 students. This research has been held on two period, first period is about 3 times meeting, and second period is about 4 times meeting. The instrument of this research is implementation of learning observation's guidance by using problem posing approach. Cycle test has been used to measure cognitive competence, and questionnaire to measure the students' behavior in mathematics learning process. The result of research shows the students' behavior has been improving after using problem posing approach. It is showed by the behavior's criteria of students that has increasing result from the average in first period to high in second period. Furthermore, the percentage of test result is also improve from 68,75% in first period to 78,13% in second period. On the other hand, the implementation of learning observation by using problem posing approach has also improving and it is showed by the average percentage of teacher's achievement in first period is 89,2% and student's achievement 85,8%. These results get increase in second period for both teacher and students' achievement which are 94,4% and 91,11%. As a result, students' behavior toward math learning process in class VIII has been improving by using problem posing approach.

Learning in non-formal education: Is it "youthful" for youth in action?

NASA Astrophysics Data System (ADS)

Norqvist, Lars; Leffler, Eva

2017-04-01

This article offers insights into the practices of a non-formal education programme for youth provided by the European Union (EU). It takes a qualitative approach and is based on a case study of the European Voluntary Service (EVS). Data were collected during individual and focus group interviews with learners (the EVS volunteers), decision takers and trainers, with the aim of deriving an understanding of learning in non-formal education. The research questions concerned learning, the recognition of learning and perspectives of usefulness. The study also examined the Youthpass documentation tool as a key to understanding the recognition of learning and to determine whether the learning was useful for learners (the volunteers). The findings and analysis offer several interpretations of learning, and the recognition of learning, which take place in non-formal education. The findings also revealed that it is complicated to divide learning into formal and non- formal categories; instead, non-formal education is useful for individual learners when both formal and non-formal educational contexts are integrated. As a consequence, the division of formal and non-formal (and possibly even informal) learning creates a gap which works against the development of flexible and interconnected education with ubiquitous learning and mobility within and across formal and non-formal education. This development is not in the best interests of learners, especially when seeking useful learning and education for youth (what the authors term "youthful" for youth in action).

Learning to Troubleshoot: A New Theory-Based Design Architecture

ERIC Educational Resources Information Center

Jonassen, David H.; Hung, Woei

2006-01-01

Troubleshooting is a common form of problem solving. Technicians (e.g., automotive mechanics, electricians) and professionals (physician, therapists, ombudspersons) diagnose faulty systems and take direct, corrective action to eliminate any faults in order to return the systems to their normal states. Traditional approaches to troubleshooting…

The Undergraduate Classroom as a Community of Inquiry

ERIC Educational Resources Information Center

Miller, Cara Taylor

2012-01-01

This project contributes to the literature on action research and undergraduate pedagogy for leadership development through application and expansion of existing theory on collaborative ways of teaching and learning. I applied a participatory, inquiry-based approach to teaching an undergraduate course in leadership studies over four semesters…

Impairments in action-outcome learning in schizophrenia.

PubMed

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.

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…

Statistical learning in social action contexts.

PubMed

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 resulting effects.

Statistical learning in social action contexts

PubMed Central

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 resulting effects. PMID:28475619

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…

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…

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.…

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…

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…

[Training of health personnel in the framework of humanitarian action. Choosing an assessment model].

PubMed

Marchand, C; Gagnayre, R; d'Ivernois, J F

1996-01-01

There are very few examples of health training assessment in developing countries. Such an undertaking faces a number of difficulties concerning the problems inherent to assessment, the particular and unstable nature of the environment, and the problems associated with humanitarian action and development aid. It is difficult to choose between a formal and a natural approach. Indeed, a dual approach, combining quantitative and qualitative data seems best suited to a variety of cultural contexts of variable stability. Faced with these difficulties, a criteria-based, formative, quality-oriented assessment aimed at improving teaching and learning methods should be able to satisfy the needs of training professionals. We propose a training assessment guide based on an assessment model which aims to improve training techniques using comprehensive, descriptive and prescriptive approaches.

Approach-Avoidance Training Effects Are Moderated by Awareness of Stimulus-Action Contingencies.

PubMed

Van Dessel, Pieter; De Houwer, Jan; Gast, Anne

2016-01-01

Prior research suggests that repeatedly approaching or avoiding a stimulus changes the liking of that stimulus. In two experiments, we investigated the relationship between, on one hand, effects of approach-avoidance (AA) training on implicit and explicit evaluations of novel faces and, on the other hand, contingency awareness as indexed by participants' memory for the relation between stimulus and action. We observed stronger effects for faces that were classified as contingency aware and found no evidence that AA training caused changes in stimulus evaluations in the absence of contingency awareness. These findings challenge the standard view that AA training effects are (exclusively) the product of implicit learning processes, such as the automatic formation of associations in memory. © 2015 by the Society for Personality and Social Psychology, Inc.

A Neural Basis of Facial Action Recognition in Humans

PubMed Central

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 neuroimaging data, we identify for the first time a brain region responsible for the recognition of actions associated with specific facial muscles. Furthermore, this representation is preserved across subjects. Our machine learning analysis does not require mapping the data to a standard brain and may serve as an alternative to hyperalignment. PMID:27098688

Implications of Modeling Uncertainty for Water Quality Decision Making

NASA Astrophysics Data System (ADS)

Shabman, L.

2002-05-01

The report, National Academy of Sciences report, "Assessing the TMDL Approach to Water Quality Management" endorsed the "watershed" and "ambient water quality focused" approach" to water quality management called for in the TMDL program. The committee felt that available data and models were adequate to move such a program forward, if the EPA and all stakeholders better understood the nature of the scientific enterprise and its application to the TMDL program. Specifically, the report called for a greater acknowledgement of model prediction uncertinaity in making and implementing TMDL plans. To assure that such uncertinaity was addressed in water quality decision making the committee called for a commitment to "adaptive implementation" of water quality management plans. The committee found that the number and complexity of the interactions of multiple stressors, combined with model prediction uncertinaity means that we need to avoid the temptation to make assurances that specific actions will result in attainment of particular water quality standards. Until the work on solving a water quality problem begins, analysts and decision makers cannot be sure what the correct solutions are, or even what water quality goals a community should be seeking. In complex systems we need to act in order to learn; adaptive implementation is a concurrent process of action and learning. Learning requires (1) continued monitoring of the waterbody to determine how it responds to the actions taken and (2) carefully designed experiments in the watershed. If we do not design learning into what we attempt we are not doing adaptive implementation. Therefore, there needs to be an increased commitment to monitoring and experiments in watersheds that will lead to learning. This presentation will 1) explain the logic for adaptive implementation; 2) discuss the ways that water quality modelers could characterize and explain model uncertinaity to decision makers; 3) speculate on the implications of the adaptive implementation for setting of water quality standards, for design of watershed monitoring programs and for the regulatory rules governing the TMDL program implementation.

A Biologically Inspired Computational Model of Basal Ganglia in Action Selection.

PubMed

Baston, Chiara; Ursino, Mauro

2015-01-01

The basal ganglia (BG) are a subcortical structure implicated in action selection. The aim of this work is to present a new cognitive neuroscience model of the BG, which aspires to represent a parsimonious balance between simplicity and completeness. The model includes the 3 main pathways operating in the BG circuitry, that is, the direct (Go), indirect (NoGo), and hyperdirect pathways. The main original aspects, compared with previous models, are the use of a two-term Hebb rule to train synapses in the striatum, based exclusively on neuronal activity changes caused by dopamine peaks or dips, and the role of the cholinergic interneurons (affected by dopamine themselves) during learning. Some examples are displayed, concerning a few paradigmatic cases: action selection in basal conditions, action selection in the presence of a strong conflict (where the role of the hyperdirect pathway emerges), synapse changes induced by phasic dopamine, and learning new actions based on a previous history of rewards and punishments. Finally, some simulations show model working in conditions of altered dopamine levels, to illustrate pathological cases (dopamine depletion in parkinsonian subjects or dopamine hypermedication). Due to its parsimonious approach, the model may represent a straightforward tool to analyze BG functionality in behavioral experiments.

Discriminative latent models for recognizing contextual group activities.

PubMed

Lan, Tian; Wang, Yang; Yang, Weilong; Robinovitch, Stephen N; Mori, Greg

2012-08-01

In this paper, we go beyond recognizing the actions of individuals and focus on group activities. This is motivated from the observation that human actions are rarely performed in isolation; the contextual information of what other people in the scene are doing provides a useful cue for understanding high-level activities. We propose a novel framework for recognizing group activities which jointly captures the group activity, the individual person actions, and the interactions among them. Two types of contextual information, group-person interaction and person-person interaction, are explored in a latent variable framework. In particular, we propose three different approaches to model the person-person interaction. One approach is to explore the structures of person-person interaction. Differently from most of the previous latent structured models, which assume a predefined structure for the hidden layer, e.g., a tree structure, we treat the structure of the hidden layer as a latent variable and implicitly infer it during learning and inference. The second approach explores person-person interaction in the feature level. We introduce a new feature representation called the action context (AC) descriptor. The AC descriptor encodes information about not only the action of an individual person in the video, but also the behavior of other people nearby. The third approach combines the above two. Our experimental results demonstrate the benefit of using contextual information for disambiguating group activities.

Discriminative Latent Models for Recognizing Contextual Group Activities

PubMed Central

Lan, Tian; Wang, Yang; Yang, Weilong; Robinovitch, Stephen N.; Mori, Greg

2012-01-01

In this paper, we go beyond recognizing the actions of individuals and focus on group activities. This is motivated from the observation that human actions are rarely performed in isolation; the contextual information of what other people in the scene are doing provides a useful cue for understanding high-level activities. We propose a novel framework for recognizing group activities which jointly captures the group activity, the individual person actions, and the interactions among them. Two types of contextual information, group-person interaction and person-person interaction, are explored in a latent variable framework. In particular, we propose three different approaches to model the person-person interaction. One approach is to explore the structures of person-person interaction. Differently from most of the previous latent structured models, which assume a predefined structure for the hidden layer, e.g., a tree structure, we treat the structure of the hidden layer as a latent variable and implicitly infer it during learning and inference. The second approach explores person-person interaction in the feature level. We introduce a new feature representation called the action context (AC) descriptor. The AC descriptor encodes information about not only the action of an individual person in the video, but also the behavior of other people nearby. The third approach combines the above two. Our experimental results demonstrate the benefit of using contextual information for disambiguating group activities. PMID:22144516

Physics students' approaches to learning and cognitive processes in solving physics problems

NASA Astrophysics Data System (ADS)

Bouchard, Josee

This study examined traditional instruction and problem-based learning (PBL) approaches to teaching and the extent to which they foster the development of desirable cognitive processes, including metacognition, critical thinking, physical intuition, and problem solving among undergraduate physics students. The study also examined students' approaches to learning and their perceived role as physics students. The research took place in the context of advanced courses of electromagnetism at a Canadian research university. The cognitive science, expertise, physics and science education, instructional psychology, and discourse processes literature provided the framework and background to conceptualize and structure this study. A within-stage mixed-model design was used and a number of instruments, including a survey, observation grids, and problem sets were developed specifically for this study. A special one-week long problem-based learning (PBL) intervention was also designed. Interviews with the instructors participating in the study provided complementary data. Findings include evidence that students in general engage in metacognitive processes in the organization of their personal study time. However, this potential, including the development of other cognitive processes, might not be stimulated as much as it could in the traditional lecture instructional context. The PBL approach was deemed as more empowering for the students. An unexpected finding came from the realisation that a simple exposure to a structured exercise of problem-solving (pre-test) was sufficient to produce superior planning and solving strategies on a second exposure (post-test) even for the students who had not been exposed to any special treatment. Maturation was ruled out as a potential threat to the validity of this finding. Another promising finding appears to be that the problem-based learning (PBL) intervention tends to foster the development of cognitive competencies, particularly physical intuition, even if it was only implemented for a short period of time. Other findings relate to the nature of the cognitive actions and activities that the students engage in when learning to solve electromagnetism problems in a PBL environment for the first time and the tutoring actions that guide students in this context.

Confronting Power: Success Isn't Everything--but It's Not Nothing Either. A Response to "Beyond the Catch-22 of School-Based Social Action Programs: Toward a More Pragmatic Approach for Dealing with Power"

ERIC Educational Resources Information Center

Westheimer, Joel

2011-01-01

Fehrman and Schutz contend that the fine balance between having students experience real-world obstacles to social change and having them learn how to navigate around those obstacles can be achieved by having adults both pre-select community action projects that are both possible and meaningful to ensure a modicum of success, and jump in and…

Use of learning miniprojects in a chemistry laboratory for engineering

NASA Astrophysics Data System (ADS)

Cancela, Angeles; Maceiras, Rocio; Sánchez, Angel; Izquierdo, Milagros; Urréjola, Santiago

2016-01-01

The aim of this paper is to describe the design of chemical engineering laboratory sessions in order to focus them on the learning company approach. This is an activity carried out in the classroom similar to the activities that exist in real companies. This could lead classroom practice to a more cooperative learning and a different style of experimentation. The stated goal is to make a design that seeks to motivate students in a cooperative manner to perform their experiments self-directed and self-organised. The teaching organisation and development of participatory action research are described.

Data-driven model reference control of MIMO vertical tank systems with model-free VRFT and Q-Learning.

PubMed

Radac, Mircea-Bogdan; Precup, Radu-Emil; Roman, Raul-Cristian

2018-02-01

This paper proposes a combined Virtual Reference Feedback Tuning-Q-learning model-free control approach, which tunes nonlinear static state feedback controllers to achieve output model reference tracking in an optimal control framework. The novel iterative Batch Fitted Q-learning strategy uses two neural networks to represent the value function (critic) and the controller (actor), and it is referred to as a mixed Virtual Reference Feedback Tuning-Batch Fitted Q-learning approach. Learning convergence of the Q-learning schemes generally depends, among other settings, on the efficient exploration of the state-action space. Handcrafting test signals for efficient exploration is difficult even for input-output stable unknown processes. Virtual Reference Feedback Tuning can ensure an initial stabilizing controller to be learned from few input-output data and it can be next used to collect substantially more input-state data in a controlled mode, in a constrained environment, by compensating the process dynamics. This data is used to learn significantly superior nonlinear state feedback neural networks controllers for model reference tracking, using the proposed Batch Fitted Q-learning iterative tuning strategy, motivating the original combination of the two techniques. The mixed Virtual Reference Feedback Tuning-Batch Fitted Q-learning approach is experimentally validated for water level control of a multi input-multi output nonlinear constrained coupled two-tank system. Discussions on the observed control behavior are offered. Copyright © 2018 ISA. Published by Elsevier Ltd. All rights reserved.

Changes in science classrooms resulting from collaborative action research initiatives

NASA Astrophysics Data System (ADS)

Oh, Phil Seok

Collaborative action research was undertaken over two years between a Korean science teacher and science education researchers at the University of Iowa. For the purpose of realizing science learning as envisioned by constructivist principles, Group-Investigations were implemented three or five times per project year. In addition, the second year project enacted Peer Assessments among students. Student perceptions of their science classrooms, as measured by the Constructivist Learning Environment Survey (CLES), provided evidence that the collaborative action research was successful in creating constructivist learning environments. Student attitudes toward science lessons, as examined by the Enjoyment of Science Lessons Scale (ESLS), indicated that the action research also contributed to developing more positive attitudes of students about science learning. Discourse analysis was conducted on video-recordings of in-class presentations and discussions. The results indicated that students in science classrooms which were moving toward constructivist learning environments engaged in such discursive practices as: (1) Communicating their inquiries to others, (2) Seeking and providing information through dialogues, and (3) Negotiating conflicts in their knowledge and beliefs. Based on these practices, science learning was viewed as the process of constructing knowledge and understanding of science as well as the process of engaging in scientific inquiry and discourse. The teacher's discursive practices included: (1) Wrapping up student presentations, (2) Addressing misconceptions, (3) Answering student queries, (4) Coaching, (5) Assessing and advising, (6) Guiding students discursively into new knowledge, and (7) Scaffolding. Science teaching was defined as situated acts of the teacher to facilitate the learning process. In particular, when the classrooms became more constructivist, the teacher intervened more frequently and carefully in student activities to fulfill a variety of pedagogical functions. Students perceived Group-Investigations and Peer Assessments as positive in that they contributed to realizing constructivist features in their classrooms. The students also reported that they gained several learning outcomes through Group-Investigations, including more positive attitudes, new knowledge, greater learning capabilities, and improved self-esteem. However, the Group-Investigation and Peer Assessment methods were perceived as negative and problematic by those who had rarely been exposed to such inquiry-based, student-centered approaches.

Concepts of peace education: A view of western experience

NASA Astrophysics Data System (ADS)

Burns, Robin; Aspeslagh, Robert

1983-09-01

Approaches to the theory and practice of peace education are as varied as the situations across the world in which it is undertaken. Against a framework established by the Peace Education Commission of IPRA, current trends in the conceptualization and experience of peace education (from a Western view-point) are considered and reveal (1) acceptance of `development' with `justice' and `human rights' as integral to the concept of peace; (2) emphasis on the psychological as well as socio-political, economic and structural conditions that maintain present injustices and oppressions; (3) renewed efforts to try out innovative educational approaches to a variety of learning situations, from the pre-school to adult formal and non-formal settings; (4) new concern about the materials, content and techniques of learning; and (5) fresh examination of the inter-relationships between theory and practice, research and action. Analyzing a number of conceptual approaches to peace and disarmament education, the authors support a political, participatory strategy and set it in a historical context. Hence, its connection with development education and the significance and implications of a global perspective are demonstrated. The global perspective is seen as a growing-point for peace education today, providing the potential for political consciousness and action.

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…

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…

Obstinate Actions-Oriented Behaviour towards Applying Theoractive Learning: An Ontology of Educational Learning and Leadership Theories in Practice

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…

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…

Development of Team Action Projects in Surgery (TAPS): a multilevel team-based approach to teaching quality improvement.

PubMed

Waits, Seth A; Reames, Bradley N; Krell, Robert W; Bryner, Benjamin; Shih, Terry; Obi, Andrea T; Henke, Peter K; Minter, Rebecca M; Englesbe, Michael J; Wong, Sandra L

2014-01-01

To meet the Accreditation Council for Graduate Medical Education core competency in Practice-Based Learning and Improvement, educational curricula need to address training in quality improvement (QI). We sought to establish a program to train residents in the principles of QI and to provide practical experiences in developing and implementing improvement projects. We present a novel approach for engaging students, residents, and faculty in QI efforts-Team Action Projects in Surgery (TAPS). Large academic medical center and health system. Multiple teams consisting of undergraduate students, medical students, surgery residents, and surgery faculty were assembled and QI projects developed. Using "managing to learn" Lean principles, these multilevel groups approached each project with robust data collection, development of an A3, and implementation of QI activities. A total of 5 resident led QI projects were developed during the TAPS pilot phase. These included a living kidney donor enhanced recovery protocol, consult improvement process, venous thromboembolism prophylaxis optimization, Clostridium difficile treatment standardization, and understanding variation in operative duration of laparoscopic cholecystectomy. Qualitative and quantitative assessment showed significant value for both the learner and stakeholders of QI related projects. Through the development of TAPS, we demonstrate a novel approach to addressing the increasing focus on QI within graduate medical education. Efforts to expand this multilevel team based approach would have value for teachers and learners alike. Copyright © 2014. Published by Elsevier Inc.

Ergonomics action research I: shifting from hypothesis testing to experiential learning.

PubMed

Neumann, W P; Dixon, S M; Ekman, M

2012-01-01

This paper presents the case for the need for 'Action Research' (AR) approaches to gain understanding of how ergonomics considerations can best be integrated into the design of new work systems. The AR researchers work collaboratively with other stakeholders to solve a real-world problem: gaining insight into the problem and factors influencing solution building from an embedded position in the development process. This experience is interpreted in terms of available theory and can support further theory development. This non-experimental approach can help provide practical new approaches for integrating ergonomics considerations into real work system design processes. The AR approach suffers from a lack of acceptance by conventionally trained scientists. This paper aims to help overcome this weakness by developing the underlying theory and rationale for using AR approaches in ergonomics research. We propose further development of hybrid approaches which incorporate other evaluation techniques to extend the knowledge gains from AR projects. Researchers should engage directly with organisations in ergonomics projects so that they can better understand the challenges and needs of practitioners who are trying to apply available scientific knowledge in their own unique context. Such 'Action Research' could help develop theory and approaches useful to improve mobilisation and application of ergonomics knowledge in organisations.

De Anza Summer College "By the Sea"; Evaluation Report, 1974.

ERIC Educational Resources Information Center

College of the Redwoods, Eureka, CA.

This report describes an off-campus alternative to traditional summer school sponsored by De Anza College and College of the Redwoods (California). Three twelve-day, concentrated summer programs, called "Action Learning Modules", utilized an interdisciplinary approach. The first module combined oceanography, marine biology, and scuba diving. A…

Honors in Honduras: Engaged Learning in Action

ERIC Educational Resources Information Center

Folds-Bennett, Trisha; Twomey, Mary Pat

2013-01-01

A significant challenge in honors education is providing experiences through which students deeply engage ideas and content so that their analytical abilities and core beliefs and values are transformed. The College of Charleston Honors College aimed to stimulate critical thinking and examination of core values through a more holistic approach to…

Making Entrepreneurship Education Work: The REAL Enterprises Model.

ERIC Educational Resources Information Center

Larson, Rick; King, Lisa; McGee, Mark; Shea, Brendon

This paper discusses the REAL (Rural Entrepreneurship through Action Learning) model as a necessary component of rural school-to-work (STW) programs. In rural areas where opportunities for traditional STW approaches (such as apprenticeships) are limited, entrepreneurial education teaches students to be job creators, not just job applicants. This…

Curriculum for Digital Education Leadership: A Concept Paper

ERIC Educational Resources Information Center

Brown, Cheryl; Czerniewicz, Laura; Huang, Cheng-Wen; Mayisela, Tabisa

2016-01-01

The Commonwealth Digital Education Leadership Training in Action (C-DELTA) is a long-term programme of the Commonwealth of Learning (COL) to promote a digital education environment in Commonwealth Member Nations. This concept paper proposes a holistic approach to conceptualising digital education leadership. The C-DELTA programme will provide a…

An Intercultural Approach To Challenging Issues In Northern Ireland Teacher Education

ERIC Educational Resources Information Center

Siberry, Laurence; Kearns, Hugh

2005-01-01

This paper reports action research intended to advance intercultural learning and pedagogy within teacher preservice education. Northern Ireland (NI) student teachers returning from teaching abroad and students from abroad training in NI shared views upon pedagogical practices, identified features supportive of inclusive teaching and assessed the…

Development and Trialling of a Graduated Descriptors Tool for Australian Pharmacy Students

ERIC Educational Resources Information Center

Stupans, Ieva; Owen, Susanne; McKauge, Leigh; Pont, Lisa; Ryan, Greg; Woulfe, Jim

2012-01-01

Profession-derived competency standards are key determinants for curriculum and assessment in many professional university programmes. An Australian Learning and Teaching Council funded project used a participatory action research approach to enable the collaborative development of a graduated (or incremental) descriptors tool related to…

On the Social Construction of an Experienced Teacher.

ERIC Educational Resources Information Center

Moallem, Mahnaz; And Others

This study was designed to explore an experienced teacher's thinking and teaching within the social and cultural environment of the classroom. It investigated the thinking, planning, subsequent action and reflection processes and relationships in a real situation of learning. A naturalistic approach was used to investigate the socio-cultural…

From Action to English: Reality in the Classroom.

ERIC Educational Resources Information Center

Zuern, Guenther

1982-01-01

Describes use of total physical response as a teaching strategy in English-as-a-second-language classes. Students act out commands from teacher with no initial emphasis on oral production. This approach makes a lesson more real to students and physically involving them makes for more successful learning. (Author/BK)

Improving School Board Effectiveness: A Balanced Governance Approach

ERIC Educational Resources Information Center

Alsbury, Thomas L., Ed.; Gore, Phil, Ed.

2015-01-01

"Improving School Board Effectiveness" offers a clarifying and essential look at the evolving role of school boards and how they contribute to efforts to improve student learning. It examines how board members can establish effective district priorities, and it explores those board policies and actions that result in shared, districtwide…

Creating a Strategy for Progress: A Contextual Behavioral Science Approach

ERIC Educational Resources Information Center

Vilardaga, Roger; Hayes, Steven C.; Levin, Michael E.; Muto, Takashi

2009-01-01

Behavior analysis is a field dedicated to the development and application of behavioral principles to the understanding and modification of the psychological actions of organisms. As such, behavior analysis was committed from the beginning to a comprehensive account of behavior, stretching from animal learning to complex human behavior. Despite…

Should Children Learn to Solve Problems?

ERIC Educational Resources Information Center

Watras, Joseph

2011-01-01

In this comparative essay, the author discusses the opposing educational theories of John Dewey and Gregory Bateson. While Dewey believed that the scientific method was the dominant method of solving problems and thereby acquiring knowledge that mattered, Bateson warned that this one-sided approach would lead to actions that could destroy the…

Fair-Minded Critical Thinking in Development Education: Reflections on Pedagogies for Transformation

ERIC Educational Resources Information Center

Brown, Eleanor J.

2014-01-01

This article discusses research with development education practitioners in Britain and Spain, to explore their conceptions of pedagogical approaches to development education and how these relate to transformative learning theory. Development education is a process designed to generate informed action, which implies the objective of transformation…

Professional Skills as Cornerstones of Liberal Education: Moving Students from Theory to Action

ERIC Educational Resources Information Center

Nitkin, Mindell Reiss; White, Shelley K.; Shapiro, Mary

2016-01-01

This article presents the Simmons World Challenge curriculum, an intensive, interdisciplinary program for sophomore undergraduate students that emphasizes student-directed collaborative learning and skills development. The authors present the curricular approach and assessment outcomes, and they relate this program to goals of the AAC&U's…

Learning about Teachers' Literacy Instruction from Classroom Observations

ERIC Educational Resources Information Center

Kelcey, Ben; Carlisle, Joanne F.

2013-01-01

The purpose of this study is to contribute to efforts to improve methods for gathering and analyzing data from classroom observations in early literacy. The methodological approach addresses current problems of reliability and validity of classroom observations by taking into account differences in teachers' uses of instructional actions (e.g.,…

Motivational Mechanisms and Outcome Expectancies Underlying the Approach Bias toward Addictive Substances.

PubMed

Watson, P; de Wit, S; Hommel, Bernhard; Wiers, R W

2012-01-01

Human behavior can be paradoxical, in that actions can be initiated that are seemingly incongruent with an individual's explicit desires. This is most commonly observed in drug addiction, where maladaptive behavior (i.e., drug seeking) appears to be compulsive, continuing at great personal cost. Approach biases toward addictive substances have been correlated with actual drug-use in a number of studies, suggesting that this measure can, in some cases, index everyday maladaptive tendencies. At present it is unclear whether this bias to drug cues is a Pavlovian conditioned approach response, a habitual response, the result of a Pavlovian-instrumental transfer process, or a goal-directed action in the sense that expectancy of the rewarding effects of drugs controls approach. We consider this question by combining the theoretical framework of associative learning with the available evidence from approach bias research. Although research investigating the relative contributions of these mechanisms to the approach bias is to date relatively limited, we review existing studies and also outline avenues for future research.

Improving Group Work Practices in Teaching Life Sciences: Trialogical Learning

NASA Astrophysics Data System (ADS)

Tammeorg, Priit; Mykkänen, Anna; Rantamäki, Tomi; Lakkala, Minna; Muukkonen, Hanni

2017-08-01

Trialogical learning, a collaborative and iterative knowledge creation process using real-life artefacts or problems, familiarizes students with working life environments and aims to teach skills required in the professional world. We target one of the major limitation factors for optimal trialogical learning in university settings, inefficient group work. We propose a course design combining effective group working practices with trialogical learning principles in life sciences. We assess the usability of our design in (a) a case study on crop science education and (b) a questionnaire for university teachers in life science fields. Our approach was considered useful and supportive of the learning process by all the participants in the case study: the students, the stakeholders and the facilitator. Correspondingly, a group of university teachers expressed that the trialogical approach and the involvement of stakeholders could promote efficient learning. In our case in life sciences, we identified the key issues in facilitating effective group work to be the design of meaningful tasks and the allowance of sufficient time to take action based on formative feedback. Even though trialogical courses can be time consuming, the experience of applying knowledge in real-life cases justifies using the approach, particularly for students just about to enter their professional careers.

Exploring the bases for a mixed reality stroke rehabilitation system, Part I: A unified approach for representing action, quantitative evaluation, and interactive feedback

PubMed Central

2011-01-01

Background Although principles based in motor learning, rehabilitation, and human-computer interfaces can guide the design of effective interactive systems for rehabilitation, a unified approach that connects these key principles into an integrated design, and can form a methodology that can be generalized to interactive stroke rehabilitation, is presently unavailable. Results This paper integrates phenomenological approaches to interaction and embodied knowledge with rehabilitation practices and theories to achieve the basis for a methodology that can support effective adaptive, interactive rehabilitation. Our resulting methodology provides guidelines for the development of an action representation, quantification of action, and the design of interactive feedback. As Part I of a two-part series, this paper presents key principles of the unified approach. Part II then describes the application of this approach within the implementation of the Adaptive Mixed Reality Rehabilitation (AMRR) system for stroke rehabilitation. Conclusions The accompanying principles for composing novel mixed reality environments for stroke rehabilitation can advance the design and implementation of effective mixed reality systems for the clinical setting, and ultimately be adapted for home-based application. They furthermore can be applied to other rehabilitation needs beyond stroke. PMID:21875441

Toward optimizing the delivery and use of climate science for natural resource management: lessons learned from recent adaptation efforts in the southwestern U.S.

NASA Astrophysics Data System (ADS)

Enquist, C.

2014-12-01

Within the past decade, a wealth of federal, state, and NGO-driven initiatives has emerged across managed landscapes in the United States with the goal of facilitating a coordinated response to rapidly changing climate and environmental conditions. In addition to acquisition and translation of the latest climate science, climate vulnerability assessment and scenario planning at multiple spatial and temporal scales are typically major components of such broad adaptation efforts. Numerous approaches for conducting this work have emerged in recent years and have culminated in general guidance and trainings for resource professionals that are specifically designed to help practitioners face the challenges of climate change. In particular, early engagement of stakeholders across multiple jurisdictions is particularly critical to cultivate buy-in and other enabling conditions for moving the science to on-the-ground action. I report on a suite of adaptation efforts in the southwestern US and interior Rockies, highlighting processes used, actions taken, lessons learned, and recommended next steps to facilitate achieving desired management outcomes. This includes a discussion of current efforts to optimize funding for actionable climate science, formalize science-management collaborations, and facilitate new investments in approaches for strategic climate-informed monitoring and evaluation.

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. Participants realised the extent, and need to overcome their compartmentalisation, individualism and isolation. This reality was due to the design of their schedules, their school building and lack of common preparation times. Yet, in spite of the aforementioned, this inquiry supported and facilitated the transformation, improvement and enhanced understanding of assessment praxes. Participants learned how to professionally develop themselves using an action research mode of inquiry that supported teacher growth and development.

Teaching clinical reasoning by making thinking visible: an action research project with allied health clinical educators

PubMed Central

2014-01-01

Background Clinical reasoning is fundamental to all forms of professional health practice, however it is also difficult to teach and learn because it is complex, tacit, and effectively invisible for students. In this paper we present an approach for teaching clinical reasoning based on making expert thinking visible and accessible to students. Methods Twenty-one experienced allied health clinical educators from three tertiary Australian hospitals attended up to seven action research discussion sessions, where they developed a tentative heuristic of their own clinical reasoning, trialled it with students, evaluated if it helped their students to reason clinically, and then refined it so the heuristic was targeted to developing each student’s reasoning skills. Data included participants’ written descriptions of the thinking routines they developed and trialed with their students and the transcribed action research discussion sessions. Content analysis was used to summarise this data and categorise themes about teaching and learning clinical reasoning. Results Two overriding themes emerged from participants’ reports about using the ‘making thinking visible approach’. The first was a specific focus by participating educators on students’ understanding of the reasoning process and the second was heightened awareness of personal teaching styles and approaches to teaching clinical reasoning. Conclusions We suggest that the making thinking visible approach has potential to assist educators to become more reflective about their clinical reasoning teaching and acts as a scaffold to assist them to articulate their own expert reasoning and for students to access and use. PMID:24479414

Learning Semantics of Gestural Instructions for Human-Robot Collaboration

PubMed Central

Shukla, Dadhichi; Erkent, Özgür; Piater, Justus

2018-01-01

Designed to work safely alongside humans, collaborative robots need to be capable partners in human-robot teams. Besides having key capabilities like detecting gestures, recognizing objects, grasping them, and handing them over, these robots need to seamlessly adapt their behavior for efficient human-robot collaboration. In this context we present the fast, supervised Proactive Incremental Learning (PIL) framework for learning associations between human hand gestures and the intended robotic manipulation actions. With the proactive aspect, the robot is competent to predict the human's intent and perform an action without waiting for an instruction. The incremental aspect enables the robot to learn associations on the fly while performing a task. It is a probabilistic, statistically-driven approach. As a proof of concept, we focus on a table assembly task where the robot assists its human partner. We investigate how the accuracy of gesture detection affects the number of interactions required to complete the task. We also conducted a human-robot interaction study with non-roboticist users comparing a proactive with a reactive robot that waits for instructions. PMID:29615888

Learning Semantics of Gestural Instructions for Human-Robot Collaboration.

PubMed

Shukla, Dadhichi; Erkent, Özgür; Piater, Justus

2018-01-01

Designed to work safely alongside humans, collaborative robots need to be capable partners in human-robot teams. Besides having key capabilities like detecting gestures, recognizing objects, grasping them, and handing them over, these robots need to seamlessly adapt their behavior for efficient human-robot collaboration. In this context we present the fast, supervised Proactive Incremental Learning (PIL) framework for learning associations between human hand gestures and the intended robotic manipulation actions. With the proactive aspect, the robot is competent to predict the human's intent and perform an action without waiting for an instruction. The incremental aspect enables the robot to learn associations on the fly while performing a task. It is a probabilistic, statistically-driven approach. As a proof of concept, we focus on a table assembly task where the robot assists its human partner. We investigate how the accuracy of gesture detection affects the number of interactions required to complete the task. We also conducted a human-robot interaction study with non-roboticist users comparing a proactive with a reactive robot that waits for instructions.

Learning from near misses: from quick fixes to closing off the Swiss-cheese holes.

PubMed

Jeffs, Lianne; Berta, Whitney; Lingard, Lorelei; Baker, G Ross

2012-04-01

The extent to which individuals in healthcare use near misses as learning opportunities remains poorly understood. Thus, an exploratory study was conducted to gain insight into the nature of, and contributing factors to, organisational learning from near misses in clinical practice. A constructivist grounded theory approach was employed which included semi-structured interviews with 24 participants (16 clinicians and 8 administrators) from a large teaching hospital in Canada. This study revealed three scenarios for the responses to near misses, the most common involved 'doing a quick fix' where clinicians recognised and corrected an error with no further action. The second scenario consisted of reporting near misses but not hearing back from management, which some participants characterised as 'going into a black hole'. The third scenario was 'closing off the Swiss-cheese holes', in which a reported near miss generated corrective action at an organisational level. Explanations for 'doing a quick fix' included the pervasiveness of near misses that cause no harm and fear associated with reporting the near miss. 'Going into a black hole' reflected managers' focus on operational duties and events that harmed patients. 'Closing off the Swiss-cheese holes' occurred when managers perceived substantial potential for harm and preventability. Where learning was perceived to occur, leaders played a pivotal role in encouraging near-miss reporting. To optimise learning, organisations will need to determine which near misses are appropriate to be responded to as 'quick fixes' and which ones require further action at the unit and corporate levels.

Visualizing complex processes using a cognitive-mapping tool to support the learning of clinical reasoning.

PubMed

Wu, Bian; Wang, Minhong; Grotzer, Tina A; Liu, Jun; Johnson, Janice M

2016-08-22

Practical experience with clinical cases has played an important role in supporting the learning of clinical reasoning. However, learning through practical experience involves complex processes difficult to be captured by students. This study aimed to examine the effects of a computer-based cognitive-mapping approach that helps students to externalize the reasoning process and the knowledge underlying the reasoning process when they work with clinical cases. A comparison between the cognitive-mapping approach and the verbal-text approach was made by analyzing their effects on learning outcomes. Fifty-two third-year or higher students from two medical schools participated in the study. Students in the experimental group used the computer-base cognitive-mapping approach, while the control group used the verbal-text approach, to make sense of their thinking and actions when they worked with four simulated cases over 4 weeks. For each case, students in both groups reported their reasoning process (involving data capture, hypotheses formulation, and reasoning with justifications) and the underlying knowledge (involving identified concepts and the relationships between the concepts) using the given approach. The learning products (cognitive maps or verbal text) revealed that students in the cognitive-mapping group outperformed those in the verbal-text group in the reasoning process, but not in making sense of the knowledge underlying the reasoning process. No significant differences were found in a knowledge posttest between the two groups. The computer-based cognitive-mapping approach has shown a promising advantage over the verbal-text approach in improving students' reasoning performance. Further studies are needed to examine the effects of the cognitive-mapping approach in improving the construction of subject-matter knowledge on the basis of practical experience.

Linking Immersive Virtual Field Trips with an Adaptive Learning Platform

NASA Astrophysics Data System (ADS)

Bruce, G.; Taylor, W.; Anbar, A. D.; Semken, S. C.; Buxner, S.; Mead, C.; El-Moujaber, E.; Summons, R. E.; Oliver, C.

2016-12-01

The use of virtual environments in science education has been constrained by the difficulty of guiding a learner's actions within the those environments. In this work, we demonstrate how advances in education software technology allow educators to create interactive learning experiences that respond and adapt intelligently to learner input within the virtual environment. This innovative technology provides a far greater capacity for delivering authentic inquiry-driven educational experiences in unique settings from around the world. Our immersive virtual field trips (iVFT) bring students virtually to geologically significant but inaccessible environments, where they learn through authentic practices of scientific inquiry. In one recent example, students explore the fossil beds in Nilpena, South Australia to learn about the Ediacaran fauna. Students interactively engage in 360° recreations of the environment, uncover the nature of the historical ecosystem by identifying fossils with a dichotomous key, explore actual fossil beds in high resolution imagery, and reconstruct what an ecosystem might have looked like millions of years ago in an interactive simulation. With the new capacity to connect actions within the iVFT to an intelligent tutoring system, these learning experiences can be tracked, guided, and tailored individually to the immediate actions of the student. This new capacity also has great potential for learning designers to take a data-driven approach to lesson improvement and for education researchers to study learning in virtual environments. Thus, we expect iVFT will be fertile ground for novel research. Such iVFT are currently in use in several introductory classes offered online at Arizona State University in anthropology, introductory biology, and astrobiology, reaching thousands of students to date. Drawing from these experiences, we are designing a curriculum for historical geology that will be built around iVFT-based exploration of Earth history.

Action Learning.

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…

CLEANing the Reward: Counterfactual Actions to Remove Exploratory Action Noise in Multiagent Learning

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

Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening †

PubMed Central

Yoon, Sang Min

2018-01-01

Human Activity Recognition (HAR) aims to identify the actions performed by humans using signals collected from various sensors embedded in mobile devices. In recent years, deep learning techniques have further improved HAR performance on several benchmark datasets. In this paper, we propose one-dimensional Convolutional Neural Network (1D CNN) for HAR that employs a divide and conquer-based classifier learning coupled with test data sharpening. Our approach leverages a two-stage learning of multiple 1D CNN models; we first build a binary classifier for recognizing abstract activities, and then build two multi-class 1D CNN models for recognizing individual activities. We then introduce test data sharpening during prediction phase to further improve the activity recognition accuracy. While there have been numerous researches exploring the benefits of activity signal denoising for HAR, few researches have examined the effect of test data sharpening for HAR. We evaluate the effectiveness of our approach on two popular HAR benchmark datasets, and show that our approach outperforms both the two-stage 1D CNN-only method and other state of the art approaches. PMID:29614767

Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening.

PubMed

Cho, Heeryon; Yoon, Sang Min

2018-04-01

Human Activity Recognition (HAR) aims to identify the actions performed by humans using signals collected from various sensors embedded in mobile devices. In recent years, deep learning techniques have further improved HAR performance on several benchmark datasets. In this paper, we propose one-dimensional Convolutional Neural Network (1D CNN) for HAR that employs a divide and conquer-based classifier learning coupled with test data sharpening. Our approach leverages a two-stage learning of multiple 1D CNN models; we first build a binary classifier for recognizing abstract activities, and then build two multi-class 1D CNN models for recognizing individual activities. We then introduce test data sharpening during prediction phase to further improve the activity recognition accuracy. While there have been numerous researches exploring the benefits of activity signal denoising for HAR, few researches have examined the effect of test data sharpening for HAR. We evaluate the effectiveness of our approach on two popular HAR benchmark datasets, and show that our approach outperforms both the two-stage 1D CNN-only method and other state of the art approaches.

Health rights pamphlets: critical literacy and inclusive citizenship, South Africa.

PubMed

Strecker, Morgan; Stuttaford, Maria; London, Leslie

2014-06-01

The Ottawa Charter recognizes the importance of strengthening community action for health and developing personal skills. At the same time, a rights-based approach to health includes the right to information, participation and accountability. The Learning Network for Health and Human Rights is a research and learning collaboration between Civil Society Organisations (CSOs) and universities in the Western Cape, South Africa. For the purposes of this article, a CSO is understood to be any organization that is outside of the state and private market sector. As part of a wider programme of action research, the learning network developed six pamphlets aimed at enhancing individual and collective skills to support action related to the implementation of the right to health. The research reported here analyses how the pamphlets, coupled with directed training, strengthened skills, promoted critical literacy and supported inclusive citizenship. Eighteen semi-structured interviews and eight focus groups were conducted with 59 participants from eight CSOs, their members, beneficiaries and communities. The success of the pamphlets was found to be attributed to the role they played in a wider training programme, requested by the CSOs and developed jointly by CSOs and university-based researchers. Community action on the right to health is contingent on personal as well as collective skills development. Understanding of the right to health and skills for participation and accountability were extended in breadth and depth, which enabled inclusive citizenship.

Barrier Function-Based Neural Adaptive Control With Locally Weighted Learning and Finite Neuron Self-Growing Strategy.

PubMed

Jia, Zi-Jun; Song, Yong-Duan

2017-06-01

This paper presents a new approach to construct neural adaptive control for uncertain nonaffine systems. By integrating locally weighted learning with barrier Lyapunov function (BLF), a novel control design method is presented to systematically address the two critical issues in neural network (NN) control field: one is how to fulfill the compact set precondition for NN approximation, and the other is how to use varying rather than a fixed NN structure to improve the functionality of NN control. A BLF is exploited to ensure the NN inputs to remain bounded during the entire system operation. To account for system nonlinearities, a neuron self-growing strategy is proposed to guide the process for adding new neurons to the system, resulting in a self-adjustable NN structure for better learning capabilities. It is shown that the number of neurons needed to accomplish the control task is finite, and better performance can be obtained with less number of neurons as compared with traditional methods. The salient feature of the proposed method also lies in the continuity of the control action everywhere. Furthermore, the resulting control action is smooth almost everywhere except for a few time instants at which new neurons are added. Numerical example illustrates the effectiveness of the proposed approach.

Participatory action inquiry using baccalaureate nursing students: The inclusion of integrative health care modalities in nursing core curriculum.

PubMed

Chan, Roxane Raffin; Schaffrath, Michelle

2017-01-01

Nurses, nursing educators and students support the inclusion of integrative health care (IHC) into nursing core curriculum as a way to create nurses who deliver nursing care to the full extent of their scope of practice and advance evidenced based IHC. Because of the holistic nature of IHC modalities, research to investigate appropriate teaching strategies and potential efficacy of learning IHC in the baccalaureate core curriculum requires a holistic approach. Therefore a phenomenological exploration using participatory action inquiry was conducted at a large Midwestern university. Eighteen first year nursing students were selected as co-researchers. Their experiences in learning and delivering three 15 min IHC interventions (foot reflexology, lavender aromatherapy and mindful breathing) in an acute care setting were captured using reflexive journaling and participation in structured and organic communicative spaces. Of the patients approached, 67% accepted to receive one or more IHC modalities (147/219). Using van Manen's model for holistic data reduction three themes emerged: The experience of presence, competency and unexpected results. Learning IHC modalities is best supported by a self-reflective process that is constructed and modeled by a nurse faculty member with experience in delivering IHC modalities. Copyright © 2016 Elsevier Ltd. All rights reserved.

Experiences in Conducting Participatory Communication Research for HIV Prevention Globally: Translating Critical Dialog into Action through Action Media.

PubMed

Parker, Warren Martin; Becker-Benton, Antje

2016-01-01

Developing communication to support health and well-being of vulnerable communities requires a multifaceted understanding of local perspectives of contextual challenges and potentials for change. While participatory research enhances understanding, robust methodologies are necessary to translate emerging concepts into viable communication approaches. Communicators and change agents need to clarify pathways for change, barriers and enablers for change, as well as the role, orientation, and content of communication to support change. While various approaches to participatory action research with vulnerable communities have been developed, there is a dearth of methodologies that address the formulation of communication concepts that can be applied at scale. The Action Media methodology has been refined over a period of two decades, being applied to addressing HIV, related aspects such as gender-based violence, as well as broader issues, such as maternal and child health, sanitation, and malaria in Africa, The Caribbean, and Asia. The approach employs a sequence of interactive sessions involving communicator researchers and participants from one or more communities that face social or health challenges. Sessions focus on understanding audiences through their engagement with these challenges and leading to shaping of relevant communication concepts that can be linked to mobilization for change. The Action Media methodology contributes to processes of shared learning linked to addressing social and health challenges. This includes determining priorities, identifying barriers and facilitators for change, understanding processes of mobilizing knowledge in relation to context, determining appropriate communication approaches, and integrating indigenous language and cultural perspectives into communication concepts. Emerging communication strategies include support to systematic action and long-term mobilization. Communication to address public health concerns is typically developed through expert-led didactic approaches that, at best, engage audiences at the end of the development cycle through pretesting of communication concepts. Action Media provides an alternative approach that can be utilized to inform communication by integrating community perspectives at the outset. Notwithstanding the focused engagement with small group representative of health-vulnerable subpopulations, Action Media findings have informed large-scale communication interventions. The approach is directly linked to enabling ownership, critical thinking, and mobilization of knowledge for change.

Bacterial cell wall composition and the influence of antibiotics by cell-wall and whole-cell NMR

PubMed Central

Romaniuk, Joseph A. H.; Cegelski, Lynette

2015-01-01

The ability to characterize bacterial cell-wall composition and structure is crucial to understanding the function of the bacterial cell wall, determining drug modes of action and developing new-generation therapeutics. Solid-state NMR has emerged as a powerful tool to quantify chemical composition and to map cell-wall architecture in bacteria and plants, even in the context of unperturbed intact whole cells. In this review, we discuss solid-state NMR approaches to define peptidoglycan composition and to characterize the modes of action of old and new antibiotics, focusing on examples in Staphylococcus aureus. We provide perspectives regarding the selected NMR strategies as we describe the exciting and still-developing cell-wall and whole-cell NMR toolkit. We also discuss specific discoveries regarding the modes of action of vancomycin analogues, including oritavancin, and briefly address the reconsideration of the killing action of β-lactam antibiotics. In such chemical genetics approaches, there is still much to be learned from perturbations enacted by cell-wall assembly inhibitors, and solid-state NMR approaches are poised to address questions of cell-wall composition and assembly in S. aureus and other organisms. PMID:26370936

Multi-Objective Reinforcement Learning-based Deep Neural Networks for Cognitive Space Communications

NASA Technical Reports Server (NTRS)

Ferreria, Paulo; Paffenroth, Randy; Wyglinski, Alexander M.; Hackett, Timothy; Bilen, Sven; Reinhart, Richard; Mortensen, Dale

2017-01-01

Future communication subsystems of space exploration missions can potentially benefit from software-defined radios (SDRs) controlled by machine learning algorithms. In this paper, we propose a novel hybrid radio resource allocation management control algorithm that integrates multi-objective reinforcement learning and deep artificial neural networks. The objective is to efficiently manage communications system resources by monitoring performance functions with common dependent variables that result in conflicting goals. The uncertainty in the performance of thousands of different possible combinations of radio parameters makes the trade-off between exploration and exploitation in reinforcement learning (RL) much more challenging for future critical space-based missions. Thus, the system should spend as little time as possible on exploring actions, and whenever it explores an action, it should perform at acceptable levels most of the time. The proposed approach enables on-line learning by interactions with the environment and restricts poor resource allocation performance through virtual environment exploration. Improvements in the multiobjective performance can be achieved via transmitter parameter adaptation on a packet-basis, with poorly predicted performance promptly resulting in rejected decisions. Simulations presented in this work considered the DVB-S2 standard adaptive transmitter parameters and additional ones expected to be present in future adaptive radio systems. Performance results are provided by analysis of the proposed hybrid algorithm when operating across a satellite communication channel from Earth to GEO orbit during clear sky conditions. The proposed approach constitutes part of the core cognitive engine proof-of-concept to be delivered to the NASA Glenn Research Center SCaN Testbed located onboard the International Space Station.

Engaging Ocean Grads As Interdisciplinary Professional Problem Solvers: Why Preparing Our Future Ocean Leaders Means Inspiring Them to Look Beyond Their Academic Learning.

NASA Astrophysics Data System (ADS)

Good, L. H.; Erickson, A.

2016-02-01

Academic learning and research experiences alone cannot prepare our emerging ocean leaders to take on the challenges facing our oceans. Developing solutions that incorporate environmental and ocean sciences necessitates an interdisciplinary approach, requiring emerging leaders to be able to work in collaborative knowledge to action systems, rather than on micro-discipline islands. Professional and informal learning experiences can enhance graduate marine education by helping learners gain the communication, collaboration, and innovative problem-solving skills necessary for them to interact with peers at the interface of science and policy. These rich experiences can also provide case-based and hands-on opportunities for graduate learners to explore real-world examples of ocean science, policy, and management in action. However, academic programs are often limited in their capacity to offer such experiences as a part of a traditional curriculum. Rather than expecting learners to rely on their academic training, one approach is to encourage and support graduates to seek professional development beyond their university's walls, and think more holistically about their learning as it relates to their career interests. During this session we discuss current thinking around the professional learning needs of emerging ocean leaders, what this means for academic epistemologies, and examine initial evaluation outcomes from activities in our cross-campus consortium model in Monterey Bay, California. This innovative model includes seven regional academic institutions working together to develop an interdisciplinary ocean community and increase access to professional development opportunities to better prepare regional ocean-interested graduate students and early career researchers as future leaders.

Transformative learning and research utilization in nursing practice: a missing link?

PubMed

Matthew-Maich, Nancy; Ploeg, Jenny; Jack, Susan; Dobbins, Maureen

2010-03-01

Poor or inconsistent research utilization into clinical practice is a recurrent theme across study contexts, rendering leaders disillusioned with how best to foster the uptake of research into nursing practice. This makes it imperative to look to new approaches. Research utilization involves a learning process engaging attitudes, beliefs, and behaviors; yet, this is often overlooked in approaches and models used to facilitate research use. This oversight may offer some explanation to the limited progress in research utilization to date. Transformation Theory offers an explanatory theory and specific strategies (critical reflection and critical discourse) to explore attitudes, beliefs, and behaviors so that they are understood, validated, and can better guide actions. The purpose of this article was to explore what Transformation Theory can contribute to research utilization initiatives in nursing practice. Transformation Theory and transformative learning strategies are discussed and critically analyzed in consideration of their potential roles in fostering research utilization in clinical nursing practice. (1) Research utilization is a learning process that involves knowledge, skills, feelings, attitudes, and beliefs. (2) Transformative learning strategies of critical reflection and discourse can facilitate insight into experiences, finding shared meanings among groups of people, and understanding/validating beliefs, attitudes, and feelings so they can more consciously guide future actions. This dimension is frequently neglected in research utilization efforts. (3) In combination with research utilization theories, Transformation Theory may be a missing link to make research utilization initiatives more effective in rendering and sustaining nursing practice change, thus enhancing client care and well-being. (4) Research and further consideration are both warranted and needed.

Multi-Objective Reinforcement Learning-Based Deep Neural Networks for Cognitive Space Communications

NASA Technical Reports Server (NTRS)

Ferreria, Paulo Victor R.; Paffenroth, Randy; Wyglinski, Alexander M.; Hackett, Timothy M.; Bilen, Sven G.; Reinhart, Richard C.; Mortensen, Dale J.

2017-01-01

Future communication subsystems of space exploration missions can potentially benefit from software-defined radios (SDRs) controlled by machine learning algorithms. In this paper, we propose a novel hybrid radio resource allocation management control algorithm that integrates multi-objective reinforcement learning and deep artificial neural networks. The objective is to efficiently manage communications system resources by monitoring performance functions with common dependent variables that result in conflicting goals. The uncertainty in the performance of thousands of different possible combinations of radio parameters makes the trade-off between exploration and exploitation in reinforcement learning (RL) much more challenging for future critical space-based missions. Thus, the system should spend as little time as possible on exploring actions, and whenever it explores an action, it should perform at acceptable levels most of the time. The proposed approach enables on-line learning by interactions with the environment and restricts poor resource allocation performance through virtual environment exploration. Improvements in the multiobjective performance can be achieved via transmitter parameter adaptation on a packet-basis, with poorly predicted performance promptly resulting in rejected decisions. Simulations presented in this work considered the DVB-S2 standard adaptive transmitter parameters and additional ones expected to be present in future adaptive radio systems. Performance results are provided by analysis of the proposed hybrid algorithm when operating across a satellite communication channel from Earth to GEO orbit during clear sky conditions. The proposed approach constitutes part of the core cognitive engine proof-of-concept to be delivered to the NASA Glenn Research Center SCaN Testbed located onboard the International Space Station.

Changing the culture of academic medicine: the C-Change learning action network and its impact at participating medical schools.

PubMed

Krupat, Edward; Pololi, Linda; Schnell, Eugene R; Kern, David E

2013-09-01

The culture of academic medicine has been described as hierarchical, competitive, and not highly supportive of female or minority faculty. In response to this, the authors designed the Learning Action Network (LAN), which was part of the National Initiative on Gender, Culture and Leadership in Medicine (C-Change). The LAN is a five-school consortium aimed at changing the organizational culture of its constituent institutions. The authors selected LAN schools to be geographically diverse and representative of U.S. medical schools. Institutional leaders and faculty representatives from constituent schools met twice yearly for four years (2006-2010), forming a cross-institutional learning community. Through their quarterly listing of institutional activities, schools reported a wide array of actions. Most common were increased faculty development and/or mentoring, new approaches to communication, and adoption of new policies and procedures. Other categories included data collection/management, engagement of key stakeholders, education regarding gender/diversity, and new/expanded leadership positions. Through exit interviews, most participants reported feeling optimistic about maintaining the momentum of change. However, some, especially in schools with leadership changes, expressed uncertainty. Participants reported that they felt that the LAN enabled, empowered, facilitated, and/or caused the reported actions.For others who might want to work toward changing the culture of academic medicine, the authors offer several lessons learned from their experiences with C-Change. Most notably, people, structures, policies, and reward systems must be put into place to support cultural values, and broad-based support should be created in order for changes to persist when inevitable transitions in leadership occur.

Informal learning processes in support of clinical service delivery in a service-oriented community pharmacy.

PubMed

Patterson, Brandon J; Bakken, Brianne K; Doucette, William R; Urmie, Julie M; McDonough, Randal P

The evolving health care system necessitates pharmacy organizations' adjustments by delivering new services and establishing inter-organizational relationships. One approach supporting pharmacy organizations in making changes may be informal learning by technicians, pharmacists, and pharmacy owners. Informal learning is characterized by a four-step cycle including intent to learn, action, feedback, and reflection. This framework helps explain individual and organizational factors that influence learning processes within an organization as well as the individual and organizational outcomes of those learning processes. A case study of an Iowa independent community pharmacy with years of experience in offering patient care services was made. Nine semi-structured interviews with pharmacy personnel revealed initial evidence in support of the informal learning model in practice. Future research could investigate more fully the informal learning model in delivery of patient care services in community pharmacies. Copyright © 2016 Elsevier Inc. All rights reserved.

A literature review on observational learning for medical motor skills and anesthesia teaching.

PubMed

Cordovani, Ligia; Cordovani, Daniel

2016-12-01

Motor skill practice is very important to improve performance of medical procedures and could be enhanced by observational practice. Observational learning could be particularly important in the medical field considering that patients' safety prevails over students' training. The mechanism of observational learning is based on the mirror neuron system, originally discovered in the monkey pre-motor cortex. Today we know that humans have a similar system, and its role is to understand and reproduce the observed actions of others. Many studies conclude that humans are able to plan and to make movements based on visual information by mapping a representation of observed actions, especially when the motor system is committed to do it. Moreover most researchers considered observational learning effective for complex skills, such as medical procedures. Additionally, observational learning could play a relevant role during anesthesia training since the learner works in pairs most of the time (dyad practice). Some teaching approaches should be taken into consideration: an implicit engagement of the observer motor system is required, immediate feedback seems to have an important effect, and a combination of observational and physical practice could be better than physical practice alone. In an environment where effectiveness and efficacy are essential, observational learning seems to fit well.

Action Learning: Images and Pathways. Professional Practices in Adult Education and Lifelong Learning Series.

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…

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.…

[Participative action research; self-care education for the mature adult, a dialogic and empowered process].

PubMed

Sanchez Gomez, Sheila; Medina Moya, José Luis; Mendoza Pérez de Mendiguren, Beatriz; Ugarte Arena, Ana Isabel; Martínez de Albéniz Arriaran, Mercedes

2015-11-01

Explore and transform dialogic-reflexive learning processes oriented to self-care, capacitation, empowerment and health promotion for "mature-adult" collective. Participative action research on a qualitative and sociocritic approach. Data generation methods are SITE: Field work focuses on the development of the educational program "Care is in your hands" that takes place in two villages (Primary Care. Comarca Araba). Through a theoretical sampling involved people who are in a "mature-adult" life stage and three nurses with extensive experience in development health education programs. Participant observation where health education sessions are recorded in video and group reflection on action. To triangulate the data, have been made in-depth interviews with 4 participants. Carried out a content and discourse analysis. Participant and nurses' Previous Frameworks, and these last ones' discourses as well, reveal a current technical rationality (unidirectional, informative,.) yet in practice that perpetuates the role of passive recipient of care. Educational keys constructed from a viewpoint of Dialogic Learning emerge as elements that facilitate overcoming these previous frames limitations. Finally, Reflective Learning launched, has provided advance in professional knowledge and improve health education. Dialogical learning emerges as key to the training and empowerment, where we have seen how practical-reflexive, and not technical, rationality is meanly useful confronting ambiguous and complex situations of self-care practice and education. Copyright © 2014 Elsevier España, S.L.U. All rights reserved.

Action Learning in China

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…

Uncertainty in action-value estimation affects both action choice and learning rate of the choice behaviors of rats

PubMed Central

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

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…

Use of after action reports (AARs) to promote organizational and systems learning in emergency preparedness.

PubMed

Savoia, Elena; Agboola, Foluso; Biddinger, Paul D

2012-08-01

Many public health and healthcare organizations use formal knowledge management practices to identify and disseminate the experiences gained over time. The "lessons-learned" approach is one such example of knowledge management practice applied to the wider concept of organizational learning. In the field of emergency preparedness, the lessons-learned approach stands on the assumption that learning from experience improves practice and minimizes avoidable deaths and negative economic and social consequences of disasters. In this project, we performed a structured review of AARs to analyze how lessons learned from the response to real-incidents may be used to maximize knowledge management and quality improvement practices such as the design of public health emergency preparedness (PHEP) exercises. We chose as a source of data the "Lessons Learned Information Sharing (LLIS.gov)" system, a joined program of the U.S. Department of Homeland Security DHS and FEMA that serves as the national, online repository of lessons learned, best practices, and innovative ideas. We identified recurring challenges reported by various states and local public health agencies in the response to different types of incidents. We also strove to identify the limitations of systematic learning that can be achieved due to existing weaknesses in the way AARs are developed.

Translating visual information into action predictions: Statistical learning in action and nonaction contexts.

PubMed

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.

Context and Time in Causal Learning: Contingency and Mood Dependent Effects

PubMed Central

Msetfi, Rachel M.; Wade, Caroline; Murphy, Robin A.

2013-01-01

Defining cues for instrumental causality are the temporal, spatial and contingency relationships between actions and their effects. In this study, we carried out a series of causal learning experiments that systematically manipulated time and context in positive and negative contingency conditions. In addition, we tested participants categorized as non-dysphoric and mildly dysphoric because depressed mood has been shown to affect the processing of all these causal cues. Findings showed that causal judgements made by non-dysphoric participants were contextualized at baseline and were affected by the temporal spacing of actions and effects only with generative, but not preventative, contingency relationships. Participants categorized as dysphoric made less contextualized causal ratings at baseline but were more sensitive than others to temporal manipulations across the contingencies. These effects were consistent with depression affecting causal learning through the effects of slowed time experience on accrued exposure to the context in which causal events took place. Taken together, these findings are consistent with associative approaches to causal judgement. PMID:23691147

Effects of Ventral Striatum Lesions on Stimulus-Based versus Action-Based Reinforcement Learning.

PubMed

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.

Action-outcome learning and prediction shape the window of simultaneity of audiovisual outcomes.

PubMed

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.

Project GRACE: a staged approach to development of a community-academic partnership to address HIV in rural African American communities.

PubMed

Corbie-Smith, Giselle; Adimora, Adaora A; Youmans, Selena; Muhammad, Melvin; Blumenthal, Connie; Ellison, Arlinda; Akers, Aletha; Council, Barbara; Thigpen, Yolanda; Wynn, Mysha; Lloyd, Stacey W

2011-03-01

The HIV epidemic is a health crisis in rural African American communities in the Southeast United States; however, to date little attention has been paid to community-academic collaborations to address HIV in these communities. Interventions that use a community-based participatory research (CBPR) approach to address individual, social, and physical environmental factors have great potential for improving community health. Project GRACE (Growing, Reaching, Advocating for Change and Empowerment) uses a CBPR approach to develop culturally sensitive, feasible, and sustainable interventions to prevent the spread of HIV in rural African American communities. This article describes a staged approach to community-academic partnership: initial mobilization, establishment of organizational structure, capacity building for action, and planning for action. Strategies for engaging rural community members at each stage are discussed; challenges faced and lessons learned are also described. Careful attention to partnership development has resulted in a collaborative approach that has mutually benefited both the academic and community partners.

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…

Action Learning and Executive Education: Achieving Credible Personal, Practitioner and Organisational Learning

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…

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…

Transformative Learning and Professional Identity Formation During International Health Electives: A Qualitative Study Using Grounded Theory.

PubMed

Sawatsky, Adam P; Nordhues, Hannah C; Merry, Stephen P; Bashir, M Usmaan; Hafferty, Frederic W

2018-03-27

International health electives (IHEs) are widely available during residency and provide unique experiences for trainees. Theoretical models of professional identity formation and transformative learning may provide insight into residents' experiences during IHEs. The purpose of this study was to explore transformative learning and professional identity formation during resident IHEs and characterize the relationship between transformative learning and professional identity formation. The authors used a constructivist grounded theory approach, with the sensitizing concepts of transformative learning and professional identity formation to analyze narrative reflective reports of residents' IHEs. The Mayo International Health Program supports residents from all specialties across three Mayo Clinic sites. In 2015, the authors collected narrative reflective reports from 377 IHE participants dating from 2001-2014. Reflections were coded and themes were organized into a model for transformative learning during IHEs, focusing on professional identity. Five components of transformative learning were identified during IHEs: a disorienting experience; an emotional response; critical reflection; perspective change; and a commitment to future action. Within the component of critical reflection three domains relating to professional identity were identified: making a difference; the doctor-patient relationship; and medicine in its "purest form." Transformation was demonstrated through perspective change and a commitment to future action, including continued service, education, and development. IHEs provide rich experiences for transformative learning and professional identity formation. Understanding the components of transformative learning may provide insight into the interaction between learner, experiences, and the influence of mentors in the process of professional identity formation.

Learning from Lessons: studying the structure and construction of mathematics teacher knowledge in Australia, China and Germany

NASA Astrophysics Data System (ADS)

Chan, Man Ching Esther; Clarke, David J.; Clarke, Doug M.; Roche, Anne; Cao, Yiming; Peter-Koop, Andrea

2018-03-01

The major premise of this project is that teachers learn from the act of teaching a lesson. Rather than asking "What must a teacher already know in order to practice effectively?", this project asks "What might a teacher learn through their activities in the classroom and how might this learning be optimised?" In this project, controlled conditions are created utilising purposefully designed and trialled lesson plans to investigate the process of teacher knowledge construction, with teacher selective attention proposed as a key mediating variable. In order to investigate teacher learning through classroom practice, the project addresses the following questions: To what classroom objects, actions and events do teachers attend and with what consequence for their learning? Do teachers in different countries attend to different classroom events and consequently derive different learning benefits from teaching a lesson? This international project combines focused case studies with an online survey of mathematics teachers' selective attention and consequent learning in Australia, China and Germany. Data include the teacher's adaptation of a pre-designed lesson, the teacher's actions during the lesson, the teacher's reflective thoughts about the lesson and, most importantly, the consequences for the planning and delivery of a second lesson. The combination of fine-grained, culturally situated case studies and large-scale online survey provides mutually informing benefits from each research approach. The research design, so constituted, offers the means to a new and scalable vision of teacher learning and its promotion.

Microstimulation of the human substantia nigra alters reinforcement learning.

PubMed

Ramayya, Ashwin G; Misra, Amrit; Baltuch, Gordon H; Kahana, Michael J

2014-05-14

Animal studies have shown that substantia nigra (SN) dopaminergic (DA) neurons strengthen action-reward associations during reinforcement learning, but their role in human learning is not known. Here, we applied microstimulation in the SN of 11 patients undergoing deep brain stimulation surgery for the treatment of Parkinson's disease as they performed a two-alternative probability learning task in which rewards were contingent on stimuli, rather than actions. Subjects demonstrated decreased learning from reward trials that were accompanied by phasic SN microstimulation compared with reward trials without stimulation. Subjects who showed large decreases in learning also showed an increased bias toward repeating actions after stimulation trials; therefore, stimulation may have decreased learning by strengthening action-reward associations rather than stimulus-reward associations. Our findings build on previous studies implicating SN DA neurons in preferentially strengthening action-reward associations during reinforcement learning. Copyright © 2014 the authors 0270-6474/14/346887-09$15.00/0.

Communities of practice in support of collaborative multi-disciplinary learning and action in response to climate change

NASA Astrophysics Data System (ADS)

Heimlich, J. E.; Stylinski, C.; Palmquist, S.; Wasserman, D.

2017-12-01

Collaborative efforts reaching across interdisciplinary boundaries to address controversial issues such as climate change present significant complexities, including developing shared language, agreeing on common outcomes, and even establishing habits of regular dialogue. Such collaborative efforts should include museums, aquariums, zoos, parks, and youth groups as each of these informal education institutions provides a critical avenue for supporting learning about and responding to climate change. The community of practice framework offers a potential effective approach to support learning and action of diverse groups with a shared interest. Our study applied this framework to the NSF-funded Maryland and Delaware Climate Change Assessment and Education (MADE-CLEAR) project, facilitating informal educators across these two states to advance their climate change education practices, and could provide insight for a building a citywide multi-sector collaborative effort. We found strategies that center on the process of group evolution; support different perspectives, levels of participation, and community spaces; focus on value as defined by members; and balance familiarity and fun produced a dynamic and functional community with a shared practice where none had existed before. Also important was expanding the community-of-practice focus on relationship building to include structured professional development and spin-off opportunities for small-group team-based endeavors. Our findings suggest that this collaborative professional learning approach is well suited to diverse groups seeking creative solutions to complex and even divisive challenges.

Visual variability affects early verb learning.

PubMed

Twomey, Katherine E; Lush, Lauren; Pearce, Ruth; Horst, Jessica S

2014-09-01

Research demonstrates that within-category visual variability facilitates noun learning; however, the effect of visual variability on verb learning is unknown. We habituated 24-month-old children to a novel verb paired with an animated star-shaped actor. Across multiple trials, children saw either a single action from an action category (identical actions condition, for example, travelling while repeatedly changing into a circle shape) or multiple actions from that action category (variable actions condition, for example, travelling while changing into a circle shape, then a square shape, then a triangle shape). Four test trials followed habituation. One paired the habituated verb with a new action from the habituated category (e.g., 'dacking' + pentagon shape) and one with a completely novel action (e.g., 'dacking' + leg movement). The others paired a new verb with a new same-category action (e.g., 'keefing' + pentagon shape), or a completely novel category action (e.g., 'keefing' + leg movement). Although all children discriminated novel verb/action pairs, children in the identical actions condition discriminated trials that included the completely novel verb, while children in the variable actions condition discriminated the out-of-category action. These data suggest that - as in noun learning - visual variability affects verb learning and children's ability to form action categories. © 2014 The British Psychological Society.

A Closer Look at the Effects of Repeated Cocaine Exposure on Adaptive Decision-Making under Conditions That Promote Goal-Directed Control

PubMed Central

Halbout, Briac; Liu, Angela T.; Ostlund, Sean B.

2016-01-01

It has been proposed that compulsive drug seeking reflects an underlying dysregulation in adaptive behavior that favors habitual (automatic and inflexible) over goal-directed (deliberative and highly flexible) action selection. Rodent studies have established that repeated exposure to cocaine or amphetamine facilitates the development of habits, producing behavior that becomes unusually insensitive to a reduction in the value of its outcome. The current study more directly investigated the effects of cocaine pre-exposure on goal-directed learning and action selection using an approach that discourages habitual performance. After undergoing a 15-day series of cocaine (15 or 30 mg/kg, i.p.) or saline injections and a drug withdrawal period, rats were trained to perform two different lever-press actions for distinct reward options. During a subsequent outcome devaluation test, both cocaine- and saline-treated rats showed a robust bias in their choice between the two actions, preferring whichever action had been trained with the reward that retained its value. Thus, it appears that the tendency for repeated cocaine exposure to promote habit formation does not extend to a more complex behavioral scenario that encourages goal-directed control. To further explore this issue, we assessed how prior cocaine treatment would affect the rats’ ability to learn about a selective reduction in the predictive relationship between one of the two actions and its outcome, which is another fundamental feature of goal-directed behavior. Interestingly, we found that cocaine-treated rats showed enhanced, rather than diminished, sensitivity to this action–outcome contingency degradation manipulation. Given their mutual dependence on striatal dopamine signaling, we suggest that cocaine’s effects on habit formation and contingency learning may stem from a common adaptation in this neurochemical system. PMID:27047400

Qualities and Practices of Professional Social Work Leadership in an Interdisciplinary Mental Health Service: An Action Learning Approach

ERIC Educational Resources Information Center

McNabb, David; Webster, Michael

2010-01-01

Since the mid-1980s, health service restructuring in New Zealand has strengthened managerialism, arguably detracting from professional considerations. Professional leaders without line-management responsibilities have replaced social work departments headed by a professional social worker. An emerging social work contribution to interdisciplinary…

Adaptive management and the Northwest Forest Plan: rhetoric and reality.

Treesearch

G.H. Stankey; B.T. Bormann; C. Ryan; B. Shindler; V. Sturtevant; R.N. Clark; C. Philpot

2003-01-01

Adaptive management represents a process to use management policies as a source of learning, which in turn can inform subsequent actions. However, despite its appealing and apparently straightforward objectives, examples of successful implementation remain elusive, and a review of efforts to implement an adaptive approach in the Northwest Forest Plan proves the point....

An Urban School Leader's Approach to School Improvement: Toward Contextually Responsive Leadership

ERIC Educational Resources Information Center

Reed, Latish C.; Swaminathan, Raji

2016-01-01

This case study examines the leadership practices and actions of an urban high school principal who faced many challenges, but worked diligently to improve student achievement and school climate over a 3-year period. Significant improvements were made by using elements of Distributed Leadership, Professional Learning Communities, and Social…

Teaching Educational Leaders to Move from Moral Reasoning to Moral Action

ERIC Educational Resources Information Center

Pijanowski, John

2017-01-01

Ethical leadership is critical to effective schools. However, earlier research showed that ethics and moral reasoning were often not formally taught nor assessed in pre-service leadership programs. In this study I examined graduate programs' approaches to curriculum, instruction, and assessment of learning in ethics and moral reasoning. Rest's…

Overcoming Misconceptions in Neurophysiology Learning: An Approach Using Color-Coded Animations

ERIC Educational Resources Information Center

Guy, Richard

2012-01-01

Anyone who has taught neurophysiology would be aware of recurring concepts that students find difficult to understand. However, a greater problem is the development of misconceptions that may be difficult to change. For example, one common misconception is that action potentials pass directly across chemical synapses. Difficulties may be…

The International System.

ERIC Educational Resources Information Center

East, Maurice A.

Designed as a unit for an international relations course, this systems approach paper outlines a learning method which contributes to the student's awareness that the United States is only one of many actors in the world. It also makes the student aware that there are limitations on the U. S. individual actions because of this interdependence and…

Calm Active and Focused: Children's Responses to an Organic Outdoor Learning Environment

ERIC Educational Resources Information Center

Nedovic, Sonya; Morrissey, Anne-Marie

2013-01-01

This study reports on children's observed responses to natural features introduced in the redevelopment of a childcare centre garden. Using an action research approach, the redevelopment was based on the preferences of the director, staff and 18 three- to four-year-olds, as expressed through interviews, conversations, photographs and drawings.…

Peered and Tiered Learning: Action Research as Creative Cultural Pedagogy

ERIC Educational Resources Information Center

Harris, Anne

2013-01-01

This article presents and problematizes a peered and tiered model of creative and educational knowledge transfer piloted in Culture Shack, a community-based arts education program in Melbourne, Australia. Drawing on Eisner and Sefton-Green and Soep, I argue the value of this approach as a potential new pedagogical strategy in both secondary…

Implementing Constructivist Approach into Online Course Designs in Distance Education Institute at Eastern Mediterranean University

ERIC Educational Resources Information Center

Gazi, Zehra A.

2009-01-01

Change and development in work settings for better working practice through projects has become essential. And, in this context, learning through working practice is constructed by participatory action research. This work-based research has a significant role to contribute innovative practice of Distance Education Institute at Eastern…

Computer-Based Exercises To Supplement the Teaching of Stereochemical Aspects of Drug Action.

ERIC Educational Resources Information Center

Harrold, Marc W.

1995-01-01

At the Duquesne University (PA) school of pharmacy, five self-paced computer exercises using a molecular modeling program have been implemented to teach stereochemical concepts. The approach, designed for small-group learning, has been well received and found effective in enhancing students' understanding of the concepts. (Author/MSE)

Fostering Creativity through Educational Video Game Development Projects: A Study of Contextual and Task Characteristics

ERIC Educational Resources Information Center

Fabricatore, Carlo; López, Ximena

2013-01-01

The increasing demand for creative individuals in the labor market requires well-prepared professionals, capable of enhancing competitiveness through new ideas and innovative actions. Educational programs should, therefore, rely on approaches and learning environments that foster creativity. In this study, video game development projects were used…

The Development of Qualitative Classroom Action Research Workshop for In-Service Science Teachers

ERIC Educational Resources Information Center

Buaraphan, Khajornsak

2016-01-01

In-service science teachers in Thailand are mandated to conduct classroom research, which can be quantitative and qualitative research, to improve teaching and learning. Comparing to quantitative research, qualitative research is a research approach that most of the Thai science teachers are not familiar with. This situation impedes science…

Project-Based Community Language Learning: Three Narratives of Multilingual Story-Telling in Early Childhood Education

ERIC Educational Resources Information Center

Lotherington, Heather; Holland, Michelle; Sotoudeh, Shiva; Zentena, Mike

2008-01-01

At Joyce Public School (JPS) in the Greater Toronto Area, we are engaged in ongoing collaborative action research to develop pedagogical approaches to emergent literacies that engage multilingual, multicultural, and multimodal perspectives in complex interplay. Our research is grounded in the challenges children experience in acquiring literacy…

A Cystems Approach to Training and Complexity

ERIC Educational Resources Information Center

Kennedy, Bob

2005-01-01

Purpose: This paper aims to explore the quality profession's fascination with various models to depict complex interactive systems. Building on these and the outcome of a four-year action research programme, it provides a model which has potential for use by other professions. It has been tailored here to suit training and learning systems.…

A machine-learned computational functional genomics-based approach to drug classification.

PubMed

Lötsch, Jörn; Ultsch, Alfred

2016-12-01

The public accessibility of "big data" about the molecular targets of drugs and the biological functions of genes allows novel data science-based approaches to pharmacology that link drugs directly with their effects on pathophysiologic processes. This provides a phenotypic path to drug discovery and repurposing. This paper compares the performance of a functional genomics-based criterion to the traditional drug target-based classification. Knowledge discovery in the DrugBank and Gene Ontology databases allowed the construction of a "drug target versus biological process" matrix as a combination of "drug versus genes" and "genes versus biological processes" matrices. As a canonical example, such matrices were constructed for classical analgesic drugs. These matrices were projected onto a toroid grid of 50 × 82 artificial neurons using a self-organizing map (SOM). The distance, respectively, cluster structure of the high-dimensional feature space of the matrices was visualized on top of this SOM using a U-matrix. The cluster structure emerging on the U-matrix provided a correct classification of the analgesics into two main classes of opioid and non-opioid analgesics. The classification was flawless with both the functional genomics and the traditional target-based criterion. The functional genomics approach inherently included the drugs' modulatory effects on biological processes. The main pharmacological actions known from pharmacological science were captures, e.g., actions on lipid signaling for non-opioid analgesics that comprised many NSAIDs and actions on neuronal signal transmission for opioid analgesics. Using machine-learned techniques for computational drug classification in a comparative assessment, a functional genomics-based criterion was found to be similarly suitable for drug classification as the traditional target-based criterion. This supports a utility of functional genomics-based approaches to computational system pharmacology for drug discovery and repurposing.

Representation of aversive prediction errors in the human periaqueductal gray

PubMed Central

Roy, Mathieu; Shohamy, Daphna; Daw, Nathaniel; Jepma, Marieke; Wimmer, Elliott; Wager, Tor D.

2014-01-01

Pain is a primary driver of learning and motivated action. It is also a target of learning, as nociceptive brain responses are shaped by learning processes. We combined an instrumental pain avoidance task with an axiomatic approach to assessing fMRI signals related to prediction errors (PEs), which drive reinforcement-based learning. We found that pain PEs were encoded in the periaqueductal gray (PAG), an important structure for pain control and learning in animal models. Axiomatic tests combined with dynamic causal modeling suggested that ventromedial prefrontal cortex, supported by putamen, provides an expected value-related input to the PAG, which then conveys PE signals to prefrontal regions important for behavioral regulation, including orbitofrontal, anterior mid-cingulate, and dorsomedial prefrontal cortices. Thus, pain-related learning involves distinct neural circuitry, with implications for behavior and pain dynamics. PMID:25282614

Ethical learning on international medical electives: a case-based analysis of medical student learning experiences.

PubMed

Bowsher, Gemma; Parry-Billings, Laura; Georgeson, Anna; Baraitser, Paula

2018-04-11

Students on international medical electives face complex ethical issues when undertaking clinical work. The variety of elective destinations and the culturally specific nature of clinical ethical issues suggest that pre-elective preparation could be supplemented by in-elective support. An online, asynchronous, case-based discussion was piloted to support ethical learning on medical student electives. We developed six scenarios from elective diaries to stimulate peer-facilitated discussions during electives. We evaluated the transcripts to assess whether transformative, experiential learning took place, assessing specifically for indications that 1) critical reflection, 2) reflective action and 3) reflective learning were taking place. We also completed a qualitative thematic content analysis of the discussions. Of forty-one extended comments, nine responses showed evidence of transformative learning (Mezirow stage three). The thematic analysis identified five themes: adopting a position on ethical issues without overt analysis; presenting issues in terms of their effects on students' ability to complete tasks; describing local contexts and colleagues as "other"; difficulty navigating between individual and structural issues, and overestimation of the impact of individual action on structures and processes. Results suggest a need to: frame ethical learning on elective so that it builds on earlier ethical programmes in the curriculum, and encourages students to adopt structured approaches to complex ethical issues including cross-cultural negotiation and to enhance global health training within the curriculum.

Dissociable contribution of prefrontal and striatal dopaminergic genes to learning in economic games

PubMed Central

Set, Eric; Saez, Ignacio; Zhu, Lusha; Houser, Daniel E.; Myung, Noah; Zhong, Songfa; Ebstein, Richard P.; Chew, Soo Hong; Hsu, Ming

2014-01-01

Game theory describes strategic interactions where success of players’ actions depends on those of coplayers. In humans, substantial progress has been made at the neural level in characterizing the dopaminergic and frontostriatal mechanisms mediating such behavior. Here we combined computational modeling of strategic learning with a pathway approach to characterize association of strategic behavior with variations in the dopamine pathway. Specifically, using gene-set analysis, we systematically examined contribution of different dopamine genes to variation in a multistrategy competitive game captured by (i) the degree players anticipate and respond to actions of others (belief learning) and (ii) the speed with which such adaptations take place (learning rate). We found that variation in genes that primarily regulate prefrontal dopamine clearance—catechol-O-methyl transferase (COMT) and two isoforms of monoamine oxidase—modulated degree of belief learning across individuals. In contrast, we did not find significant association for other genes in the dopamine pathway. Furthermore, variation in genes that primarily regulate striatal dopamine function—dopamine transporter and D2 receptors—was significantly associated with the learning rate. We found that this was also the case with COMT, but not for other dopaminergic genes. Together, these findings highlight dissociable roles of frontostriatal systems in strategic learning and support the notion that genetic variation, organized along specific pathways, forms an important source of variation in complex phenotypes such as strategic behavior. PMID:24979760

Dissociable contribution of prefrontal and striatal dopaminergic genes to learning in economic games.

PubMed

Set, Eric; Saez, Ignacio; Zhu, Lusha; Houser, Daniel E; Myung, Noah; Zhong, Songfa; Ebstein, Richard P; Chew, Soo Hong; Hsu, Ming

2014-07-01

Game theory describes strategic interactions where success of players' actions depends on those of coplayers. In humans, substantial progress has been made at the neural level in characterizing the dopaminergic and frontostriatal mechanisms mediating such behavior. Here we combined computational modeling of strategic learning with a pathway approach to characterize association of strategic behavior with variations in the dopamine pathway. Specifically, using gene-set analysis, we systematically examined contribution of different dopamine genes to variation in a multistrategy competitive game captured by (i) the degree players anticipate and respond to actions of others (belief learning) and (ii) the speed with which such adaptations take place (learning rate). We found that variation in genes that primarily regulate prefrontal dopamine clearance--catechol-O-methyl transferase (COMT) and two isoforms of monoamine oxidase--modulated degree of belief learning across individuals. In contrast, we did not find significant association for other genes in the dopamine pathway. Furthermore, variation in genes that primarily regulate striatal dopamine function--dopamine transporter and D2 receptors--was significantly associated with the learning rate. We found that this was also the case with COMT, but not for other dopaminergic genes. Together, these findings highlight dissociable roles of frontostriatal systems in strategic learning and support the notion that genetic variation, organized along specific pathways, forms an important source of variation in complex phenotypes such as strategic behavior.

Healthcare students as innovative partners in the development of future healthcare services: An action research approach.

PubMed

Norbye, Bente

2016-11-01

Health care systems in Norway and the western world have experienced extensive changes due to patients living longer with complex conditions that require coordinated care. A Norwegian healthcare reform has led to significant restructuring in service delivery as a devolution of services to municipalities. Partners from three rural healthcare services, students from four professional programmes, and one lecturer from each of the professional programmes used a collaborative approach to obtain new knowledge through interprofessional practice. Using an action research design, the research group facilitated democratic processes through dialogues with healthcare services and students. The design is visualised as a cyclical process in which each cycle contributes to improvements, innovations, and increased understanding. A total of 32 students and 3 supervisors were interviewed before and after the clinical practice experiences. Fieldwork was conducted during three clinical periods. Interprofessional student groups formed small healthcare teams and assessed patients with chronic and long-term conditions. Students prepared and negotiated patient follow-up. The teams' responsibilities led to reflective practices that enhanced their professional knowledge. The teams achieved a new understanding of patient situations, which influenced "second opinions" for patients with complex conditions and led to innovative practices. The change in perception of patient needs led to a changed professional approach. The students' perceptions changed as they learned from and about each other and in collaboration with the health service; this led to more coordinated care of patients with complex conditions. Interprofessional learning in community settings provided a platform to improve both healthcare education and rural healthcare services. This research contributes to knowledge of how students' placement in interprofessional teams can enhance students learning from, with and about each other. The student teams promoted new ways of approaching and delivering complex patient treatment and care in community healthcare service. Collaborative partnerships in interprofessional learning have potential in the wider international arena as a means for practice improvement. Copyright © 2016 Elsevier Ltd. All rights reserved.

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task.

PubMed

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.

Monitoring is not enough: on the need for a model-based approach to migratory bird management

USGS Publications Warehouse

Nichols, J.D.; Bonney, Rick; Pashley, David N.; Cooper, Robert; Niles, Larry

2000-01-01

Informed management requires information about system state and about effects of potential management actions on system state. Population monitoring can provide the needed information about system state, as well as information that can be used to investigate effects of management actions. Three methods for investigating effects of management on bird populations are (1) retrospective analysis, (2) formal experimentation and constrained-design studies, and (3) adaptive management. Retrospective analyses provide weak inferences, regardless of the quality of the monitoring data. The active use of monitoring data in experimental or constrained-design studies or in adaptive management is recommended. Under both approaches, learning occurs via the comparison of estimates from the monitoring program with predictions from competing management models.

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…

E-Learning as an Opportunity for the Public Administration

NASA Astrophysics Data System (ADS)

Casagranda, Milena; Colazzo, Luigi; Molinari, Andrea; Tomasini, Sara

In this paper we will describe the results of a learning project in the Public Administration, highlighting the methodological approach based on a blended training model in a context that has never experienced this type of activities. The observations contained in the paper will be focused on the evaluation results of this experience and the redesign elements in term of alternation between the classroom and distance training, methodologies, the value and use of the e-learning platform and learning evaluation. The elements that emerge will also provide the basis for the design of future teaching actions for this context (in which at this moment we are involved). The objective is to identify a "learning model", related also to the use of technological tools that are able to support lifelong learning and to define dynamics and process relating to facilitating learning activities of teachers and tutors.