Social Networks and Performance in Distributed Learning Communities

ERIC Educational Resources Information Center

Cadima, Rita; Ojeda, Jordi; Monguet, Josep M.

2012-01-01

Social networks play an essential role in learning environments as a key channel for knowledge sharing and students' support. In distributed learning communities, knowledge sharing does not occur as spontaneously as when a working group shares the same physical space; knowledge sharing depends even more on student informal connections. In this…

A Social Network Analysis of Teaching and Research Collaboration in a Teachers' Virtual Learning Community

ERIC Educational Resources Information Center

Lin, Xiaofan; Hu, Xiaoyong; Hu, Qintai; Liu, Zhichun

2016-01-01

Analysing the structure of a social network can help us understand the key factors influencing interaction and collaboration in a virtual learning community (VLC). Here, we describe the mechanisms used in social network analysis (SNA) to analyse the social network structure of a VLC for teachers and discuss the relationship between face-to-face…

Nurturing Global Collaboration and Networked Learning in Higher Education

ERIC Educational Resources Information Center

Cronin, Catherine; Cochrane, Thomas; Gordon, Averill

2016-01-01

We consider the principles of communities of practice (CoP) and networked learning in higher education, illustrated with a case study. iCollab has grown from an international community of practice connecting students and lecturers in seven modules across seven higher education institutions in six countries, to a global network supporting the…

How Social Network Position Relates to Knowledge Building in Online Learning Communities

ERIC Educational Resources Information Center

Wang, Lu

2010-01-01

Social Network Analysis, Statistical Analysis, Content Analysis and other research methods were used to research online learning communities at Capital Normal University, Beijing. Analysis of the two online courses resulted in the following conclusions: (1) Social networks of the two online courses form typical core-periphery structures; (2)…

Difference, Ambiguity and Potential for Learning--Local Communities Working in Partnership with Local Government.

ERIC Educational Resources Information Center

Blaxter, Loraine; Farnell, Richard; Watts, Jane

2003-01-01

An action learning project for neighborhood regeneration in Coventry, England, showed that differences of power and viewpoint were inevitable and essential. More open networks enabling communication among community groups were needed. Funding for community networking needed to go beyond short-term projects supported by the current policy agenda.…

Teachers Learning in Networked Communities. Phase I Evaluation Report

ERIC Educational Resources Information Center

Carroll, Tom; Fulton, Kathleen; Yoon, Irene

2005-01-01

In 2003 the National Commission on Teaching and America's Future convened a design team to launch the Teachers Learning in Networked Communities (TLINC) project. The initial one-year phase, funded by AT&T, involved a TLINC design team partnered with four communities, Pueblo, Colorado; Seattle, Washington; Portland, Maine; and Socorro, Texas. The…

KDU E-Community Network.

ERIC Educational Resources Information Center

Jonhendro; Ching, Goh Bee; Wahab, Rohazna; Leng, Wang Meei; Aun, Jimmy Tan Lip; Yeoh, Eugene; Hock, Oon; Koo, W. K.

2001-01-01

Describes an education initiative developed by a company in Malaysia, the KDU, to implement a student-centered, teacher-facilitated, educational technology-enabled and knowledge-based learning environment. Explains the KDU e-Community Network that enables passive, interactive, collaborative, and constructivist learning for a variety of…

Social Media as Avenue for Personal Learning for Educators: Personal Learning Networks Encourage Application of Knowledge and Skills

ERIC Educational Resources Information Center

Eller, Linda S.

2012-01-01

Social media sites furnish an online space for a community of practice to create relationships and trust, collaboration and connections, and a personal learning environment. Social networking sites, both public and private, have common elements: member profiles, groups, discussions, and forums. A community of practice brings participants together…

Working at Community Boundaries: A Micro-Analysis of the Activist's Role in Participatory Learning Networks

ERIC Educational Resources Information Center

Thorpe, Mary; Kubiak, Chris

2005-01-01

The interaction of agency and context in workplace learning is explored through a micro-analysis of the implementation of networked learning communities in schools in England. Interviews with local activists show evidence of co-participation between individuals' responses and their workplace roles and experience as they take up the opportunity to…

Social learning within a community of practice: Investigating interactions about evaluation among zoo education professionals.

PubMed

Khalil, Kathayoon; Ardoin, Nicole M; Wojcik, Deborah

2017-04-01

The accessibility and ubiquity of zoos and aquariums-which reach over 700 million people worldwide annually-make them critical sites for science and environmental learning. Through educational offerings, these sites can generate excitement and curiosity about nature and motivate stewardship behavior, but only if their programs are high quality and meet the needs of their audiences. Evaluation is, therefore, critical: knowing what works, for whom, and under what conditions must be central to these organizations. Yet, many zoo and aquarium educators find evaluation to be daunting, and they are challenged to implement evaluations and/or use the findings iteratively in program development and improvement. This article examines how zoo education professionals engage with one another in a learning community related to evaluation. We use a communities of practice lens and social network analysis to understand the structure of this networked learning community, considering changes over time. Our findings suggest that individuals' roles in a networked learning community are influenced by factors such as communicative convenience and one's perceptions of others' evaluation expertise, which also contribute to forming and sustaining professional relationships. This study illuminates how project-based professional networks can become communities of practice. Copyright © 2016 Elsevier Ltd. All rights reserved.

Shadow netWorkspace: An Open Source Intranet for Learning Communities

ERIC Educational Resources Information Center

Laffey, James M.; Musser, Dale

2006-01-01

Shadow netWorkspace (SNS) is a web application system that allows a school or any type of community to establish an intranet with network workspaces for all members and groups. The goal of SNS has been to make it easy for schools and other educational organizations to provide network services in support of implementing a learning community. SNS is…

Just the Facts: Personal Learning Networks

ERIC Educational Resources Information Center

Nussbaum-Beach, Sheryl

2013-01-01

One has heard about personal learning networks (PLNs), but what are they and how are they different than professional learning communities (PLCs)? Find out how PLNs can help a teacher pursue his/her own professional interests and be a better teacher. This article answers questions related to PLNs such as: (1) What are personal learning networks?;…

Fast detection of the fuzzy communities based on leader-driven algorithm

NASA Astrophysics Data System (ADS)

Fang, Changjian; Mu, Dejun; Deng, Zhenghong; Hu, Jun; Yi, Chen-He

2018-03-01

In this paper, we present the leader-driven algorithm (LDA) for learning community structure in networks. The algorithm allows one to find overlapping clusters in a network, an important aspect of real networks, especially social networks. The algorithm requires no input parameters and learns the number of clusters naturally from the network. It accomplishes this using leadership centrality in a clever manner. It identifies local minima of leadership centrality as followers which belong only to one cluster, and the remaining nodes are leaders which connect clusters. In this way, the number of clusters can be learned using only the network structure. The LDA is also an extremely fast algorithm, having runtime linear in the network size. Thus, this algorithm can be used to efficiently cluster extremely large networks.

Pan-Canadian Forum on Community Learning Networks Conference Proceedings [and] A Discussion Guide (1st, Ottawa, Ontario, March 27-29, 1998).

ERIC Educational Resources Information Center

Human Resources Development Canada, Hull (Quebec). Office of Learning Technologies.

This document contains information from and about the Pan-Canadian Forum on Community Learning Networks (CLNs) that was conducted to identify existing and emerging needs of CLNs and identify emerging trends and issues related to CLNs. The document begins with a discussion of role played by CLNs in building a lifelong learning culture. Presented…

A Statewide Service Learning Network Ignites Teachers and Students.

ERIC Educational Resources Information Center

Monsour, Florence

Service learning, curriculum-linked community service, has proved remarkably effective in igniting students' desire to learn. In 1997, the Wisconsin Partnership in Service Learning was initiated as a cross-disciplinary, cross-institutional endeavor. Supported by a grant from Learn and Serve America, the partnership created a network throughout…

Open Online Spaces of Professional Learning: Context, Personalisation and Facilitation

ERIC Educational Resources Information Center

Evans, Peter

2015-01-01

This article explores professional learning through online discussion events as sites of communities of learning. The rise of distributed work places and networked labour coincides with a privileging of individualised professional learning. Alongside this focus on the individual has been a growth in informal online learning communities and…

Collaborative Academic Projects on Social Network Sites to Socialize EAP Students into Academic Communities of Practice

ERIC Educational Resources Information Center

Dashtestani, Reza

2018-01-01

Learning English for academic purposes (EAP) can help university students promote their academic literacy through socializing them into academic communities of practice. This study examined the impact of the use of collaborative projects on three social network sites on EAP students' attitudes towards EAP and academic content learning. Three…

Models of Community Learning Networks in Canada = Modeles de reseaux d'apprentissage communautaires au Canada.

ERIC Educational Resources Information Center

Human Resources Development Canada, Hull (Quebec). Office of Learning Technologies.

Canada-based community learning networks (CLNs) were examined to provide an operational definition of CLNs, design a framework for their review and analysis, and identify best practices in CLNs. Data were collected from three sources: interviews with 16 key stakeholders in CLNs, literature review, and case studies of five Canadian CLNs. The…

Community detection in complex networks using deep auto-encoded extreme learning machine

NASA Astrophysics Data System (ADS)

Wang, Feifan; Zhang, Baihai; Chai, Senchun; Xia, Yuanqing

2018-06-01

Community detection has long been a fascinating topic in complex networks since the community structure usually unveils valuable information of interest. The prevalence and evolution of deep learning and neural networks have been pushing forward the advancement in various research fields and also provide us numerous useful and off the shelf techniques. In this paper, we put the cascaded stacked autoencoders and the unsupervised extreme learning machine (ELM) together in a two-level embedding process and propose a novel community detection algorithm. Extensive comparison experiments in circumstances of both synthetic and real-world networks manifest the advantages of the proposed algorithm. On one hand, it outperforms the k-means clustering in terms of the accuracy and stability thus benefiting from the determinate dimensions of the ELM block and the integration of sparsity restrictions. On the other hand, it endures smaller complexity than the spectral clustering method on account of the shrinkage in time spent on the eigenvalue decomposition procedure.

Using Social Networks to Create Powerful Learning Communities

ERIC Educational Resources Information Center

Lenox, Marianne; Coleman, Maurice

2010-01-01

Regular readers of "Computers in Libraries" are aware that social networks are forming increasingly important linkages to professional and personal development in all libraries. Live and virtual social networks have become the new learning playground for librarians and library staff. Social networks have the ability to connect those who are…

Material Matters for Learning in Virtual Networks: A Case Study of a Professional Learning Programme Hosted in a Google+ Online Community

ERIC Educational Resources Information Center

Ackland, Aileen; Swinney, Ann

2015-01-01

In this paper, we draw on Actor-Network Theories (ANT) to explore how material components functioned to create gateways and barriers to a virtual learning network in the context of a professional development module in higher education. Students were practitioners engaged in family learning in different professional roles and contexts. The data…

Lessons Learned from the Young Breast Cancer Survivorship Network.

PubMed

Gisiger-Camata, Silvia; Nolan, Timiya S; Vo, Jacqueline B; Bail, Jennifer R; Lewis, Kayla A; Meneses, Karen

2017-11-30

The Young Breast Cancer Survivors Network (Network) is an academic and community-based partnership dedicated to education, support, and networking. The Network used a multi-pronged approach via monthly support and networking, annual education seminars, website networking, and individual survivor consultation. Formative and summative evaluations were conducted using group survey and individual survivor interviews for monthly gatherings, annual education meetings, and individual consultation. Google Analytics was applied to evaluate website use. The Network began with 4 initial partnerships and grew to 38 in the period from 2011 to 2017. During this 5-year period, 5 annual meetings (598 attendees), 23 support and networking meetings (373), and 115 individual survivor consultations were conducted. The Network website had nearly 12,000 individual users and more than 25,000 page views. Lessons learned include active community engagement, survivor empowerment, capacity building, social media outreach, and network sustainability. The 5-year experiences with the Network demonstrated that a regional program dedicated to the education, support, networking, and needs of young breast cancer survivors and their families can become a vital part of cancer survivorship services in a community. Strong community support, engagement, and encouragement were vital components to sustain the program.

E-Model for Online Learning Communities.

PubMed

Rogo, Ellen J; Portillo, Karen M

2015-10-01

The purpose of this study was to explore the students' perspectives on the phenomenon of online learning communities while enrolled in a graduate dental hygiene program. A qualitative case study method was designed to investigate the learners' experiences with communities in an online environment. A cross-sectional purposive sampling method was used. Interviews were the data collection method. As the original data were being analyzed, the researchers noted a pattern evolved indicating the phenomenon developed in stages. The data were re-analyzed and validated by 2 member checks. The participants' experiences revealed an e-model consisting of 3 stages of formal learning community development as core courses in the curriculum were completed and 1 stage related to transmuting the community to an informal entity as students experienced the independent coursework in the program. The development of the formal learning communities followed 3 stages: Building a Foundation for the Learning Community, Building a Supportive Network within the Learning Community and Investing in the Community to Enhance Learning. The last stage, Transforming the Learning Community, signaled a transition to an informal network of learners. The e-model was represented by 3 key elements: metamorphosis of relationships, metamorphosis through the affective domain and metamorphosis through the cognitive domain, with the most influential element being the affective development. The e-model describes a 4 stage process through which learners experience a metamorphosis in their affective, relationship and cognitive development. Synergistic learning was possible based on the interaction between synergistic relationships and affective actions. Copyright © 2015 The American Dental Hygienists’ Association.

Stochastic competitive learning in complex networks.

PubMed

Silva, Thiago Christiano; Zhao, Liang

2012-03-01

Competitive learning is an important machine learning approach which is widely employed in artificial neural networks. In this paper, we present a rigorous definition of a new type of competitive learning scheme realized on large-scale networks. The model consists of several particles walking within the network and competing with each other to occupy as many nodes as possible, while attempting to reject intruder particles. The particle's walking rule is composed of a stochastic combination of random and preferential movements. The model has been applied to solve community detection and data clustering problems. Computer simulations reveal that the proposed technique presents high precision of community and cluster detections, as well as low computational complexity. Moreover, we have developed an efficient method for estimating the most likely number of clusters by using an evaluator index that monitors the information generated by the competition process itself. We hope this paper will provide an alternative way to the study of competitive learning..

Virtual Communities of Collaborative Learning for Higher Education

ERIC Educational Resources Information Center

Sotomayor, Gilda E.

2014-01-01

This article aims to outline and project three new learning scenarios for Higher Education that, after the emergence of ICT and communication through the Network-lnternet, have appeared under the generic name of virtual communities. To that end, we start from a previous conceptual analysis on collaborative learning, cooperative learning and…

Building online learning communities in a graduate dental hygiene program.

PubMed

Rogo, Ellen J; Portillo, Karen M

2014-08-01

The literature abounds with research related to building online communities in a single course; however, limited evidence is available on this phenomenon from a program perspective. The intent of this qualitative case study inquiry was to explore student experiences in a graduate dental hygiene program contributing or impeding the development and sustainability of online learning communities. Approval from the IRB was received. A purposive sampling technique was used to recruit participants from a stratification of students and graduates. A total of 17 participants completed semi-structured interviews. Data analysis was completed through 2 rounds - 1 for coding responses and 1 to construct categories of experiences. The participants' collective definition of an online learning community was a complex synergistic network of interconnected people who create positive energy. The findings indicated the development of this network began during the program orientation and was beneficial for building a foundation for the community. Students felt socially connected and supported by the network. Course design was another important category for participation in weekly discussions and group activities. Instructors were viewed as active participants in the community, offering helpful feedback and being a facilitator in discussions. Experiences impeding the development of online learning communities related to the poor performance of peers and instructors. Specific categories of experiences supported and impeded the development of online learning communities related to the program itself, course design, students and faculty. These factors are important to consider in order to maximize student learning potential in this environment. Copyright © 2014 The American Dental Hygienists’ Association.

Social Networking Tools and Teacher Education Learning Communities: A Case Study

ERIC Educational Resources Information Center

Poulin, Michael T.

2014-01-01

Social networking tools have become an integral part of a pre-service teacher's educational experience. As a result, the educational value of social networking tools in teacher preparation programs must be examined. The specific problem addressed in this study is that the role of social networking tools in teacher education learning communities…

Expanding the Reach of Continuing Educational Offerings Through a Web-Based Virtual Network: The Experience of InspireNet.

PubMed

Frisch, Noreen C; Atherton, Pat; Borycki, Elizabeth M; Mickelson, Grace; Black, Agnes; Novak Lauscher, Helen; Cordeiro, Jennifer

2017-01-01

Virtual platforms using webinars, e-posters, e-newsletters, wikis and blogs connect people who have common interests in new ways. When those individuals are healthcare providers, a professional network that operates on a virtual platform can support their needs for learning, professional development and information currency. The practice of e-learning for continuing professional development is emerging , particularly in nursing where shift work shift inhibits their ability to attend conferences and classes. This article reports the experience of the InspireNet network that provided e-learning models to: 1) provide opportunities for healthcare providers to organize themselves into learning communities through development of electronic communities of practice; 2) support learning on demand; and 3) dramatically increase the reach of educational offerings.

Can Online Learning Communities Achieve the Goals of Traditional Professional Learning Communities? What the Literature Says. REL 2013-003

ERIC Educational Resources Information Center

Blitz, Cynthia L.

2013-01-01

For more than a decade practitioners have promoted professional learning communities (PLCs) as an effective structure for providing teachers with professional development (Chappuis, Chappuis, & Stiggins, 2009; DuFour, Eaker, & DuFour, 2005). These collaborative networks are believed to be effective because they expose teachers to new ideas…

Public and Private Interests in Networking Educational Services for Schools, Households, Communities.

ERIC Educational Resources Information Center

Sheekey, Arthur D.

1997-01-01

Discusses the networking of educational services for schools, homes, and communities. Highlights include equal access; the development of digital technologies; visions for electronic information services; the public sector; the private sector; creating learning communities; and future possibilities, including funding strategies. (LRW)

The Role of Networks of Practice and Webs of Influencers on Farmers' Engagement with and Learning about Agricultural Innovations

ERIC Educational Resources Information Center

Oreszczyn, Sue; Lane, Andy; Carr, Susan

2010-01-01

Drawing on the UK research project, "Farmers' understandings of GM crops within local communities", this paper considers the application of the concepts of communities of practice and networks of practice in the agricultural context. A brief review of theories about communities of practice and networks of practice is given and some of…

Online Teaching in Networked Learning Communities: A Multi-Method Approach to Studying the Role of the Teacher

ERIC Educational Resources Information Center

De Laat, Maarten; Lally, Vic; Lipponen, Lasse; Simons, Robert-Jan

2007-01-01

The aim of this paper is to study the online teaching styles of two teachers who each tutor a networked learning community (NLC), within the same workshop. The study is undertaking empirical work using a multi-method approach in order to triangulate and contextualise our findings and enrich our understanding of the teacher participation in these…

Closer to Learning: Social Networks, Trust, and Professional Communities

ERIC Educational Resources Information Center

Liou, Yi-Hwa; Daly, Alan J.

2014-01-01

Researchers, educators, and policymakers suggest the use of professional learning communities as one important approach to the improvement of teaching and learning. However, relatively little research examines the interplay of professional interactions (structural social capital) around instructional practices and key elements of professional…

Viable Global Networked Learning. JSRI Occasional Paper No. 23. Latino Studies Series.

ERIC Educational Resources Information Center

Arias, Armando A., Jr.

This paper discusses an innovative paradigm for looking at computer mediated/networked teaching, learning, and research known as BESTNET (Binational English and Spanish Telecommunications Network). BESTNET is functionally defined as an international community of universities and institutions linked by common educational goals and processes,…

Networked Environments that Create Hybrid Spaces for Learning Science

ERIC Educational Resources Information Center

Otrel-Cass, Kathrin; Khoo, Elaine; Cowie, Bronwen

2014-01-01

Networked learning environments that embed the essence of the Community of Inquiry (CoI) framework utilise pedagogies that encourage dialogic practices. This can be of significance for classroom teaching across all curriculum areas. In science education, networked environments are thought to support student investigations of scientific problems,…

Community-Based Research Networks: Development and Lessons Learned in an Emerging Field.

ERIC Educational Resources Information Center

Stoecker, Randy; Ambler, Susan H.; Cutforth, Nick; Donohue, Patrick; Dougherty, Dan; Marullo, Sam; Nelson, Kris S.; Stutts, Nancy B.

2003-01-01

Compares seven multi-institutional community-based research networks in Appalachia; Colorado; District of Columbia; Minneapolis-St. Paul; Philadelphia; Richmond, Virginia; and Trenton, New Jersey. After reviewing the histories of the networks, conducts a comparative SWOT analysis, showing their common and unique strengths, weaknesses,…

Discovery of Action Patterns and User Correlations in Task-Oriented Processes for Goal-Driven Learning Recommendation

ERIC Educational Resources Information Center

Zhou, Xiaokang; Chen, Jian; Wu, Bo; Jin, Qun

2014-01-01

With the high development of social networks, collaborations in a socialized web-based learning environment has become increasing important, which means people can learn through interactions and collaborations in communities across social networks. In this study, in order to support the enhanced collaborative learning, two important factors, user…

From Idea to Virtual Reality: ALADIN - The Adult Learning Documentation and Information Network. Report of a CONFINTEA V Workshop and Its Follow-Up.

ERIC Educational Resources Information Center

Giere, Ursula, Ed.; Imel, Susan, Ed.

This publication contains the story of how the idea for a network conceived through CONFINTEA V became a [virtual] reality in ALADIN, the Adult Learning Documentation and Information Network. Part I contains 15 papers delivered as a part of the CONFINTEA workshop, "Global Community of Adult Learning through Information and Documentation:…

Learning Modalities and Delivery Systems for Officer Professional Development Period 3: Literature Review

DTIC Science & Technology

2014-06-01

Communication ............................................................................................................................... ......27 4.3.3... Community and Collaborative Learning ................................................................................................28 4.3.3.1...Courses as a way to build Networked Communities .................................29 4.3.4 Assessment and Feedback

Learning from Success as Leverage for a Professional Learning Community: Exploring an Alternative Perspective of School Improvement Process

ERIC Educational Resources Information Center

Schechter, Chen

2010-01-01

Background: Although the professional learning community as a means of improving student achievement has received growing support from researchers and practitioners alike, professionals are still exploring ways to develop interaction networks regarding teaching and learning issues. Purpose: This study explores the evolving stages of a collective…

The Professional Learning Community in Special Education Schools: The Principal's Role

ERIC Educational Resources Information Center

Schechter, Chen; Feldman, Niv

2013-01-01

The concept of a professional learning community is characterized by the networks of learning processes which exist among its members, where teachers continuously deliberate with one another on how to solve problems that relate to teaching and learning. Interestingly, whereas a growing number of studies have focused on how to promote collective…

Learning for Life

ERIC Educational Resources Information Center

Robotham, Dan

2011-01-01

People working in the field of education know well the positive effects adult and community learning can have on mental health and wellbeing. Participating in adult and community learning can help to widen social networks and improve life and employment chances; it makes for better general health; and can strengthen the learner's self-confidence,…

The Research on Informal Learning Model of College Students Based on SNS and Case Study

NASA Astrophysics Data System (ADS)

Lu, Peng; Cong, Xiao; Bi, Fangyan; Zhou, Dongdai

2017-03-01

With the rapid development of network technology, informal learning based on online become the main way for college students to learn a variety of subject knowledge. The favor to the SNS community of students and the characteristics of SNS itself provide a good opportunity for the informal learning of college students. This research first analyzes the related research of the informal learning and SNS, next, discusses the characteristics of informal learning and theoretical basis. Then, it proposed an informal learning model of college students based on SNS according to the support role of SNS to the informal learning of students. Finally, according to the theoretical model and the principles proposed in this study, using the Elgg and related tools which is the open source SNS program to achieve the informal learning community. This research is trying to overcome issues such as the lack of social realism, interactivity, resource transfer mode in the current network informal learning communities, so as to provide a new way of informal learning for college students.

Making Practice Public: Teacher Learning in the 21st Century

ERIC Educational Resources Information Center

Lieberman, Ann; Pointer Mace, Desiree

2010-01-01

We propose that the advent and ubiquity of new media tools and social networking resources provide a means for professional, networked learning to "scale up." We preface our discussion with a review of research that has led us to argue for professional learning communities, document the policies and practices of professional development…

Student Interaction and Community Building: An Evaluation of Social Networking in Online Learning Environments

ERIC Educational Resources Information Center

Cardona-Divale, Maria Victoria

2012-01-01

Learners often report difficulty maintaining social connectivity in online courses. Technology is quickly changing how people communicate, collaborate and learn using online social networking sites (SNSs). These sites have transformed education in a way that provides new learning opportunities when integrated with web 2.0 tools. Little research is…

Merging Social Networking Environments and Formal Learning Environments to Support and Facilitate Interprofessional Instruction

PubMed Central

King, Sharla; Greidanus, Elaine; Carbonaro, Michael; Drummond, Jane; Patterson, Steven

2009-01-01

This study describes the redesign of an interprofessional team development course for health science students. A theoretical model is hypothesized as a framework for the redesign process, consisting of two themes: 1) the increasing trend among post-secondary students to participate in social networking (e.g., Facebook, Second Life) and 2) the need for healthcare educators to provide interprofessional training that results in effective communities of practice and better patient care. The redesign focused on increasing the relevance of the course through the integration of custom-designed technology to facilitate social networking during their interprofessional education. Results suggest that students in an educationally structured social networking environment can be guided to join learning communities quickly and access course materials. More research and implementation work is required to effectively develop interprofessional health sciences communities in a combined face-to-face and on-line social networking context. PMID:20165519

Merging social networking environments and formal learning environments to support and facilitate interprofessional instruction.

PubMed

King, Sharla; Greidanus, Elaine; Carbonaro, Michael; Drummond, Jane; Patterson, Steven

2009-04-28

This study describes the redesign of an interprofessional team development course for health science students. A theoretical model is hypothesized as a framework for the redesign process, consisting of two themes: 1) the increasing trend among post-secondary students to participate in social networking (e.g., Facebook, Second Life) and 2) the need for healthcare educators to provide interprofessional training that results in effective communities of practice and better patient care. The redesign focused on increasing the relevance of the course through the integration of custom-designed technology to facilitate social networking during their interprofessional education. Results suggest that students in an educationally structured social networking environment can be guided to join learning communities quickly and access course materials. More research and implementation work is required to effectively develop interprofessional health sciences communities in a combined face-to-face and on-line social networking context.

Social Presence and Transactional Distance as an Antecedent to Knowledge Sharing in Virtual Learning Communities

ERIC Educational Resources Information Center

Karaoglan Yilmaz, Fatma Gizem

2017-01-01

Today, the use of social network-based virtual learning communities is increasing rapidly in terms of knowledge management. An important dynamic of knowledge management processes is the knowledge sharing behaviors (KSB) in community. The purpose of this study is to examine the KSB of the students in a Facebook-based virtual community created…

Component Exchange Community: A Model of Utilizing Research Components to Foster International Collaboration

ERIC Educational Resources Information Center

Deng, Yi-Chan; Lin, Taiyu; Kinshuk; Chan, Tak-Wai

2006-01-01

"One-to-one" technology enhanced learning research refers to the design and investigation of learning environments and learning activities where every learner is equipped with at least one portable computing device enabled by wireless capability. G1:1 is an international research community coordinated by a network of laboratories conducting…

A Collaborative Learning Network Approach to Improvement: The CUSP Learning Network.

PubMed

Weaver, Sallie J; Lofthus, Jennifer; Sawyer, Melinda; Greer, Lee; Opett, Kristin; Reynolds, Catherine; Wyskiel, Rhonda; Peditto, Stephanie; Pronovost, Peter J

2015-04-01

Collaborative improvement networks draw on the science of collaborative organizational learning and communities of practice to facilitate peer-to-peer learning, coaching, and local adaption. Although significant improvements in patient safety and quality have been achieved through collaborative methods, insight regarding how collaborative networks are used by members is needed. Improvement Strategy: The Comprehensive Unit-based Safety Program (CUSP) Learning Network is a multi-institutional collaborative network that is designed to facilitate peer-to-peer learning and coaching specifically related to CUSP. Member organizations implement all or part of the CUSP methodology to improve organizational safety culture, patient safety, and care quality. Qualitative case studies developed by participating members examine the impact of network participation across three levels of analysis (unit, hospital, health system). In addition, results of a satisfaction survey designed to evaluate member experiences were collected to inform network development. Common themes across case studies suggest that members found value in collaborative learning and sharing strategies across organizational boundaries related to a specific improvement strategy. The CUSP Learning Network is an example of network-based collaborative learning in action. Although this learning network focuses on a particular improvement methodology-CUSP-there is clear potential for member-driven learning networks to grow around other methods or topic areas. Such collaborative learning networks may offer a way to develop an infrastructure for longer-term support of improvement efforts and to more quickly diffuse creative sustainment strategies.

Lending, Learning, Leading: Developing Results-Based Leaders in Opportunity Finance

ERIC Educational Resources Information Center

Annie E. Casey Foundation, 2015

2015-01-01

This report tells the story of the CDFI Leadership Learning Network, a Casey Foundation initiative to equip leaders of community development finance institutions with the tools of results-based leadership (RBL). The Foundation shares lessons learned from the network, core RBL concepts and profiles of CDFI leaders as they apply RBL skills and tools…

Learning Communities via the Internet a la Epic Learning: You Can Lead the Horses to Water, but You Cannot Get Them To Drink.

ERIC Educational Resources Information Center

Orey, Michael; Koenecke, Lynne; Crozier, Jane

2003-01-01

Describes learning experiences of three students enrolled in a training company's Web-based course on network administration that included a variety of online technologies, including a live virtual classroom, coaches, chat, and bulletin boards, to try and develop an online learning community. Concludes that learners must be taught how to form…

Will Learning Social Inclusion Assist Rural Networks

ERIC Educational Resources Information Center

Marchant, Jillian

2013-01-01

Current research on social networks in some rural communities reports continuing demise despite efforts to build resilient communities. Several factors are identified as contributing to social decline including globalisation and rural social characteristics. Particular rural social characteristics, such as strong social bonds among members of…

Research Trends in the Study of ICT Based Learning Communities: A Bibliometric Analysis

ERIC Educational Resources Information Center

Hernández, Jonathan Bermúdez; Chalela, Salim; Arias, Jackeline Valencia; Arias, Alejandro Valencia

2017-01-01

The current opportunities to develop and acquire knowledge in the network, Information and Communications Technology (ICT) play a major role in the learning process. This research offers a bibliometric analysis in order to examine the state of the research activity carried out in relation to the learning communities based on ICT. The indicators…

Facilitating Participation: From the EML Web Site to the Learning Network for Learning Design

ERIC Educational Resources Information Center

Hummel, Hans G. K.; Tattersall, Colin; Burgos, Daniel; Brouns, Francis; Kurvers, Hub; Koper, Rob

2005-01-01

This article investigates conditions for increasing active participation in on-line communities. As a case study, we use three generations of facilities designed to promote learning in the area of Educational Modelling Languages. Following a description of early experience with a conventional web site and with a community site offering facilities…

Using Web 2.0 for Learning in the Community

ERIC Educational Resources Information Center

Mason, Robin; Rennie, Frank

2007-01-01

This paper describes the use of a range of Web 2.0 technologies to support the development of community for a newly formed Land Trust on the Isle of Lewis, in NW Scotland. The application of social networking tools in text, audio and video has several purposes: informal learning about the area to increase tourism, community interaction,…

Building Professional Learning Communities in Special Education through Social Networking: Directions for Future Research

ERIC Educational Resources Information Center

Hardman, Elizabeth L.

2011-01-01

This paper examines the challenges inherent in building professional learning communities (PLCs) in special education and describes how two Web 2.0 tools were used to build a community that engages general and special education teachers, school administrators, and teacher educators in implementing research based inclusive practices that are known…

Community-Sourcing a New Marketing Course: Collaboration in Social Media

ERIC Educational Resources Information Center

Schirr, Gary R.

2013-01-01

This paper shows the value of an online personal learning network or community in educational innovation. It shows how theories and best practices from service and product innovation, as well the theories of learning communities, were applied using social media to facilitate the grant proposal and course development processes for a new course in…

Investigating Student Communities with Network Analysis of Interactions in a Physics Learning Center

ERIC Educational Resources Information Center

Brewe, Eric; Kramer, Laird; Sawtelle, Vashti

2012-01-01

Developing a sense of community among students is one of the three pillars of an overall reform effort to increase participation in physics, and the sciences more broadly, at Florida International University. The emergence of a research and learning community, embedded within a course reform effort, has contributed to increased recruitment and…

Teachers in an Interdisciplinary Learning Community: Engaging, Integrating, and Strengthening K-12 Education

ERIC Educational Resources Information Center

Hardré, Patricia L.; Ling, Chen; Shehab, Randa L.; Nanny, Mark A.; Nollert, Matthias U.; Refai, Hazem; Ramseyer, Christopher; Herron, Jason; Wollega, Ebisa D.

2013-01-01

This study examines the inputs (processes and strategies) and outputs (perceptions, skill development, classroom transfer, disciplinary integration, social networking, and community development) of a yearlong, interdisciplinary teacher learning and development experience. Eleven secondary math and science teachers partnered with an…

A VIRTUAL LEARNING COMMUNITY TO FACILITATE SUSTAINABLE BEHAVIOR

EPA Science Inventory

Research to date on virtual learning communities suggests that electronic interaction can be a useful way to impact new skills and to encourage innovative practices by creating networked systems of mutual support. We expect that by being able to exchange information, trade tip...

Research and Policy: Can Online Learning Communities Foster Professional Development?

ERIC Educational Resources Information Center

Beach, Richard

2012-01-01

This column posits enhancing professional development through uses of digital tools to create professional learning communities (PLCs) designed to support collective inquiry and action research leading to schoolwide improvement. These digital tools include a social networking/discussion forum for teacher collaboration; teachers' individual…

What Size Is Your Digital Footprint?

ERIC Educational Resources Information Center

Hewson, Kurtis

2013-01-01

The Professional Learning Network (PLN) is gaining momentum in the education lexicon. It records and reflects the personal development of a community of learners--primarily online through a variety of platforms and social networks--in which educators share resources, provide support, introduce and debate ideas and celebrate learning. These…

Design Patterns for Learning and Assessment: Facilitating the Introduction of a Complex Simulation-Based Learning Environment into a Community of Instructors

NASA Astrophysics Data System (ADS)

Frezzo, Dennis C.; Behrens, John T.; Mislevy, Robert J.

2010-04-01

Simulation environments make it possible for science and engineering students to learn to interact with complex systems. Putting these capabilities to effective use for learning, and assessing learning, requires more than a simulation environment alone. It requires a conceptual framework for the knowledge, skills, and ways of thinking that are meant to be developed, in order to design activities that target these capabilities. The challenges of using simulation environments effectively are especially daunting in dispersed social systems. This article describes how these challenges were addressed in the context of the Cisco Networking Academies with a simulation tool for computer networks called Packet Tracer. The focus is on a conceptual support framework for instructors in over 9,000 institutions around the world for using Packet Tracer in instruction and assessment, by learning to create problem-solving scenarios that are at once tuned to the local needs of their students and consistent with the epistemic frame of "thinking like a network engineer." We describe a layered framework of tools and interfaces above the network simulator that supports the use of Packet Tracer in the distributed community of instructors and students.

Regional Workshop on Strengthening Linkages and Networks through Community Learning Centres (CLCs) (Bandung, Indonesia, September 5-9, 2005)

ERIC Educational Resources Information Center

Online Submission, 2006

2006-01-01

The Community Learning Centre (CLC) Project has been carried out since 1998 within the framework of the Asia Pacific Program of Education for All (APPEAL). CLC is a multi-purpose learning center that serves as a local venue for adults, youth and children to engage in all kinds of learning. After a few years' implementation, some countries have…

Miami's Third Sector Alliance for Community Well-being.

PubMed

Evans, Scotney D; Raymond, Catherine; Levine, Daniella

2014-01-01

Traditional capacity-building approaches tend to be organizationally focused ignoring the fact that community-based organizations learn and take action in a larger network working to promote positive community change. The specific aim of this paper was to outline a vision for a Third Sector Alliance to build organizational, network, and sector capacity for community well-being in Miami. Building a foundation for social impact requires a strategy for organizational, network, and sector capacity building. Organizational, network, and sector capacity building can best be achieved through a cooperative network approach driven by a solid community-university partnership. Although a Third Sector Alliance for Community Well-being does not yet exist in Miami, Catalyst Miami and the University of Miami (UM) have partnered closely to articulate a vision of what could be and have been working to make that vision a reality.

It's Official, Networking Is Good for You

ERIC Educational Resources Information Center

Watters, Kate

2005-01-01

Networking has helped local education authority (LEA) providers of adult and community learning (ACL) get to grips with the current inspection regime. David Sherlock, Chief Inspector of the Adult Learning Inspectorate (ALI), observed, as he launched his third annual report, that their willingness to work together in the face of initially…

Levels and Patterns of Participation and Social Interaction in an Online Learning Community for Learning to Teach

ERIC Educational Resources Information Center

Tsai, I-Chun

2011-01-01

This study investigates how pre-service and in-service teachers participate in an online community for learning to teach. Members' levels and patterns of participation and social interaction were examined via social network analysis of activity logs and content analysis of interviews. The results of the analyses show that (a) members' levels and…

Community Tracking in a cMOOC and Nomadic Learner Behavior Identification on a Connectivist Rhizomatic Learning Network

ERIC Educational Resources Information Center

Bozkurt, Aras; Honeychurch, Sarah; Caines, Autumm; Bali, Maha; Koutropoulos, Apostolos; Cormier, Dave

2016-01-01

This article contributes to the literature on connectivism, connectivist MOOCs (cMOOCs) and rhizomatic learning by examining participant interactions, community formation and nomadic learner behavior in a particular cMOOC, #rhizo15, facilitated for 6 weeks by Dave Cormier. It further focuses on what we can learn by observing Twitter interactions…

The ACCE Position Statement on Media Enriched Learning Communities: "If We're Not Standing on the Edge and Thinking Ahead We're Taking up Too Much Room"

ERIC Educational Resources Information Center

Kember, Deborah; Brandenburg, Tony; Murphy, Angela

2007-01-01

The ACCE position statement for creating media enriched learning communities targets all stakeholders in educational policy and practice who influence the future of learning, schools, and systems. Stakeholders include policy-makers in government, national and international organisations, professional networks and institutions, school leaders,…

Active Semi-Supervised Community Detection Based on Must-Link and Cannot-Link Constraints

PubMed Central

Cheng, Jianjun; Leng, Mingwei; Li, Longjie; Zhou, Hanhai; Chen, Xiaoyun

2014-01-01

Community structure detection is of great importance because it can help in discovering the relationship between the function and the topology structure of a network. Many community detection algorithms have been proposed, but how to incorporate the prior knowledge in the detection process remains a challenging problem. In this paper, we propose a semi-supervised community detection algorithm, which makes full utilization of the must-link and cannot-link constraints to guide the process of community detection and thereby extracts high-quality community structures from networks. To acquire the high-quality must-link and cannot-link constraints, we also propose a semi-supervised component generation algorithm based on active learning, which actively selects nodes with maximum utility for the proposed semi-supervised community detection algorithm step by step, and then generates the must-link and cannot-link constraints by accessing a noiseless oracle. Extensive experiments were carried out, and the experimental results show that the introduction of active learning into the problem of community detection makes a success. Our proposed method can extract high-quality community structures from networks, and significantly outperforms other comparison methods. PMID:25329660

Building research infrastructure in community health centers: a Community Health Applied Research Network (CHARN) report.

PubMed

Likumahuwa, Sonja; Song, Hui; Singal, Robbie; Weir, Rosy Chang; Crane, Heidi; Muench, John; Sim, Shao-Chee; DeVoe, Jennifer E

2013-01-01

This article introduces the Community Health Applied Research Network (CHARN), a practice-based research network of community health centers (CHCs). Established by the Health Resources and Services Administration in 2010, CHARN is a network of 4 community research nodes, each with multiple affiliated CHCs and an academic center. The four nodes (18 individual CHCs and 4 academic partners in 9 states) are supported by a data coordinating center. Here we provide case studies detailing how CHARN is building research infrastructure and capacity in CHCs, with a particular focus on how community practice-academic partnerships were facilitated by the CHARN structure. The examples provided by the CHARN nodes include many of the building blocks of research capacity: communication capacity and "matchmaking" between providers and researchers; technology transfer; research methods tailored to community practice settings; and community institutional review board infrastructure to enable community oversight. We draw lessons learned from these case studies that we hope will serve as examples for other networks, with special relevance for community-based networks seeking to build research infrastructure in primary care settings.

Building Research Infrastructure in Community Health Centers: A Community Health Applied Research Network (CHARN) Report

PubMed Central

Likumahuwa, Sonja; Song, Hui; Singal, Robbie; Weir, Rosy Chang; Crane, Heidi; Muench, John; Sim, Shao-Chee; DeVoe, Jennifer E.

2015-01-01

This article introduces the Community Health Applied Research Network (CHARN), a practice-based research network of community health centers (CHCs). Established by the Health Resources and Services Administration in 2010, CHARN is a network of 4 community research nodes, each with multiple affiliated CHCs and an academic center. The four nodes (18 individual CHCs and 4 academic partners in 9 states) are supported by a data coordinating center. Here we provide case studies detailing how CHARN is building research infrastructure and capacity in CHCs, with a particular focus on how community practice-academic partnerships were facilitated by the CHARN structure. The examples provided by the CHARN nodes include many of the building blocks of research capacity: communication capacity and “matchmaking” between providers and researchers; technology transfer; research methods tailored to community practice settings; and community institutional review board infrastructure to enable community oversight. We draw lessons learned from these case studies that we hope will serve as examples for other networks, with special relevance for community-based networks seeking to build research infrastructure in primary care settings. PMID:24004710

On Deep Learning for Trust-Aware Recommendations in Social Networks.

PubMed

Deng, Shuiguang; Huang, Longtao; Xu, Guandong; Wu, Xindong; Wu, Zhaohui

2017-05-01

With the emergence of online social networks, the social network-based recommendation approach is popularly used. The major benefit of this approach is the ability of dealing with the problems with cold-start users. In addition to social networks, user trust information also plays an important role to obtain reliable recommendations. Although matrix factorization (MF) becomes dominant in recommender systems, the recommendation largely relies on the initialization of the user and item latent feature vectors. Aiming at addressing these challenges, we develop a novel trust-based approach for recommendation in social networks. In particular, we attempt to leverage deep learning to determinate the initialization in MF for trust-aware social recommendations and to differentiate the community effect in user's trusted friendships. A two-phase recommendation process is proposed to utilize deep learning in initialization and to synthesize the users' interests and their trusted friends' interests together with the impact of community effect for recommendations. We perform extensive experiments on real-world social network data to demonstrate the accuracy and effectiveness of our proposed approach in comparison with other state-of-the-art methods.

Social Networks and the Building of Learning Communities: An Experimental Study of a Social MOOC

ERIC Educational Resources Information Center

de Lima, Mariana; Zorrilla, Marta

2017-01-01

This study aimed to analyze the student's behaviour in relation to their degree of commitment, participation, and contribution in a MOOC based on a social learning approach. Interaction data was collected on the learning platform and in social networks, both of which were used in the third edition of a social MOOC course. This data was then…

A Strategy to Learn How to Build Scientific-Education and Outreach Partnerships in the Ocean Sciences: COSEE Ocean Learning Communities.

NASA Astrophysics Data System (ADS)

Keil, R. G.; Bell, P. L.; Bittner, M. S.; Robigou, V.; Sider, K.

2005-12-01

The College of Ocean and Fishery Sciences and the College of Education at the University of Washington, the Seattle Aquarium, and the California Maritime Academy formed a partnership to establish a Center for Ocean Sciences Education Excellence (COSEE) labeled "Ocean Learning Communities." The COSEE-OLC will join the national network of NSF-funded centers that provide a catalytic environment in which partnerships between ocean researchers and educators flourish. The COSEE network contributes to the national advancement of ocean science education by sharing high-quality K-12 or informal education programs, best practices and methodologies, and offering exemplary courses through the network and at national professional meetings. Building on the successes and lessons of the existing COSEE centers, the COSEE-OLC will foster collaborations among the oceanography research community, the science of learning community, informal and formal educators, the general public, and the maritime industry in the Northwest region and the West coast. The concept for this partnership is based on reaching out to traditionally underserved populations (from the businesses that use the sea or for which economic success depends on the oceans to the united native tribes), listening to their concerns and needs and how these can be addressed within the context of ocean-based research. The challenges of integrating education and outreach with scientific research programs are addressed by the center's main catalytic activity to create Ocean Learning Communities. These communities will be gatherings of traditionally disparate stakeholders including scientists, educators, representatives of businesses with a connection to the oceans, and citizens who derive economic or recreational sustenance from the oceans. The center's principal goal is to, through time and structured learning activities, support various communities 1) to develop a common language and 2) to make a commitment to creating collaborations that will improve ocean research and public awareness at the regional scale. Researchers in the science of learning will evaluate and study the successes and challenges of these regional approaches to better understand the development and sustainability of productive partnerships and to develop learning models to share and apply at the national level.

Learned Societies: A Bridge between Research, Policy Making and Funding

ERIC Educational Resources Information Center

McCarthy, Dianne; Rands, Marc

2013-01-01

Learned societies play a number of roles in countries around the world, including national representation of the research community; recognising and rewarding research achievement; and as funding agents for fellowships, research grants or research institutes. They have a networking role both within national research communities and in linking with…

Usefulness of an Internet-based thematic learning network: comparison of effectiveness with traditional teaching.

PubMed

Coma Del Corral, María Jesús; Guevara, José Cordero; Luquin, Pedro Abáigar; Peña, Horacio J; Mateos Otero, Juan José

2006-03-01

UniNet is an Internet-based thematic network for a virtual community of users (VCU). It supports one multidisciplinary community of doctoral students, who receive most of the courses on the network. The evident advantages of distance learning by Internet, in terms of costs, comfort, etc., require a previous evaluation of the system, focusing on the learning outcomes of the student. The aim was to evaluate the real learning of the students of doctorate courses, by comparing the effectiveness of distance learning in UniNet with traditional classroom-based teaching. Five doctorate courses were taught simultaneously to two independent groups of students in two ways: one, through the UniNet Network, and the other in a traditional classroom. The academic knowledge of students was evaluated at the beginning and end of each course. The difference in score was considered as a knowledge increase. The comparison was made using Student's t-test for independent groups. There were no significant statistical differences in the outcomes of the two groups of students. This suggests that both teaching systems were equivalent in increasing the knowledge of the students. Both educational methods, the traditional system and the online system in a thematic network, are effective and similar for increasing knowledge.

The CIRTL Network: A Professional Development Network for Future STEM Faculty

NASA Astrophysics Data System (ADS)

Herbert, B. E.

2011-12-01

The Center for the Integration of Research, Teaching, and Learning (CIRTL) is an NSF Center for Learning and Teaching in higher education using the professional development of graduate students and post-doctoral scholars as the leverage point to develop a national STEM faculty committed to implementing and advancing effective teaching practices for diverse student audiences as part of successful professional careers. The goal of CIRTL is to improve the STEM learning of all students at every college and university, and thereby to increase the diversity in STEM fields and the STEM literacy of the nation. The CIRTL network seeks to support change at a number of levels to support its goals: individual, classroom, institutional, and national. To bring about change, which is never easy, the CIRTL network has developed a conceptual model or change model that is thought to support the program objectives. Three central concepts, Teaching-as-Research, Learning Communities, and Learning-through-Diversity, underlie the design of all CIRTL activities. STEM faculty use research methods to systematically and reflectively improve learning outcomes. This work is done within a community of shared learning and discovery, and explicitly recognizes that effective teaching capitalizes on the rich array of experiences, backgrounds, and skills among the students and instructors to enhance the learning of all. This model is being refined and tested through a networked-design experiment, where the model is tested in diverse settings. Established in fall 2006, the CIRTL Network comprises the University of Colorado at Boulder (CU), Howard University, Michigan State University, Texas A&M University, Vanderbilt University, and the University of Wisconsin-Madison. The diversity of these institutions is by design: private/public; large/moderate size; majority-/minority-serving; geographic location. This talk will describe the theoretical constructs and efficacy of Teaching-as Research as a central design element of the CIRTL network model. Teaching-as-Research involves the deliberate, systematic, and reflective use of research methods to develop and implement teaching practices that advance the learning experiences and outcomes of students. CIRTL envision three types of learning outcomes for CIRTL participants: CIRTL Fellow, CIRTL Practitioner, and CIRTL Scholar. These three, tiered learning outcomes recognize the role of the CIRTL pillars in effective teaching (Fellow), scholarly teaching that builds on the CIRTL pillars to demonstrably improve learning and make the results public (Practitioner), and finally scholarship that advances teaching and learning under peer review (Scholar). CIRTL program outcomes conceived in this way permit anyone to enter the CIRTL Network learning community from a wide variety of disciplines, needs, and past experiences, and to achieve success as an instructor in diverse contexts.

Contextual Language Learning: Educational Potential and Use of Social Networking Technology in Higher Education

ERIC Educational Resources Information Center

Huang, Chung-Kai; Lin, Chun-Yu; Villarreal, Daniel Steve

2014-01-01

This study investigates the potential and use of social networking technology, specifically Facebook, to support a community of practice in an undergraduate-level classroom setting. Facebook is used as a tool with which to provide supplementary language learning materials to develop learners' English writing skills. We adopted the technology…

Developmental Impact Evaluation for Facilitating Learning in Innovation Networks

ERIC Educational Resources Information Center

Saari, Eveliina; Kallio, Katri

2011-01-01

Innovations and new project ideas often emerge in networks of researchers, users of research, and societal actors. This article analyzes and discusses how research scientists learn to conduct research that has an impact on their clients, scientific community, and society. We describe a new developmental impact evaluation method based on the theory…

Empirical Evaluation of Different Feature Representations for Social Circles Detection

DTIC Science & Technology

2015-06-16

study and compare the performance on the available labelled Facebook data from the Kaggle competition on learning social circles in networks . We...Kaggle competition on learning social circles in networks [5]. The data consist of hand- labelled friendship egonets from Facebook and a set of 57...16. SECURITY CLASSIFICATION OF: Social circles detection is a special case of community detection in social network that is currently attracting a

Virtual Social Network Communities: An Investigation of Language Learners' Development of Sociopragmatic Awareness and Multiliteracy Skills

ERIC Educational Resources Information Center

Blattner, Geraldine; Fiori, Melissa

2011-01-01

Although often neglected in language textbooks and classrooms, sociopragmatic and multiliteracy skills are crucial elements in language learning that language educators should not disregard. This article investigates whether a social networking community (SNC) website such as Facebook can be exploited in the context of an intermediate foreign…

Digital Divides and Social Network Sites: Which Students Participate in Social Media?

ERIC Educational Resources Information Center

Ahn, June

2011-01-01

Social network sites (SNSs) like Myspace and Facebook are now popular online communities with large teenage user populations. Teens use these technologies to interact, play, explore, and learn in significant ways. As scholars become interested in studying these new online communities, I contribute to the emerging conversation by re-examining…

Digital Native and Digital Immigrant Use of Scholarly Network for Doctoral Learners

ERIC Educational Resources Information Center

Berman, Ronald; Hassell, Deliesha

2014-01-01

The Doctoral Community Network (DC) is a learner driven, scholarly community designed to help online doctoral learners successfully complete their dissertation and program of study. While digital natives grew up in an environment immersed in technology, digital immigrants adapted to this environment through their ability to learn and adjust to…

Social Networking Technologies as Vehicles of Support for Women in Learning Communities

ERIC Educational Resources Information Center

Burgess, Kimberly R.

2009-01-01

Women have long since used social networking as a means of coping with their struggles, educating and empowering themselves, engaging in broader social movements, and building international advocacy. Internet communities that are designed and facilitated to be inclusive of women's experiences can be important social spaces where women feel…

The networked health enterprise: a vision for 2008.

PubMed

Stead, W W

1998-01-01

Informatics and information technology hold the promise of a consumer-centered health enterprise--one that provides quality care at a cost society is willing to pay; one where need-based, adaptive, competency-based learning results in cost-effectiveness of health education; one where team-based health and learning on demand, coupled with monitoring of process outcomes and network access to expertise, guarantee quality. The barriers to this promise are the professional guilds, the cross-subsidies that support the health enterprise of 1998, and the lack of respect for privacy. Collectively, the informatics community needs to develop a compelling vision that will galvanize the health community to action. If the health community does not step up to this challenge, consumers will take advantage of disintermediation. Empowered by the network, they will go outside the system into hands that meet their needs.

The OCHIN community information network: bringing together community health centers, information technology, and data to support a patient-centered medical village.

PubMed

Devoe, Jennifer E; Sears, Abigail

2013-01-01

Creating integrated, comprehensive care practices requires access to data and informatics expertise. Information technology (IT) resources are not readily available to individual practices. One model of shared IT resources and learning is a "patient-centered medical village." We describe the OCHIN Community Health Information Network as an example of this model; community practices have come together collectively to form an organization that leverages shared IT expertise, resources, and data, providing members with the means to fully capitalize on new technologies that support improved care. This collaborative facilitates the identification of "problem sheds" through surveillance of network-wide data, enables shared learning regarding best practices, and provides a "community laboratory" for practice-based research. As an example of a community of solution, OCHIN uses health IT and data-sharing innovations to enhance partnerships between public health leaders, clinicians in community health centers, informatics experts, and policy makers. OCHIN community partners benefit from the shared IT resource (eg, a linked electronic health record, centralized data warehouse, informatics, and improvement expertise). This patient-centered medical village provides (1) the collective mechanism to build community-tailored IT solutions, (2) "neighbors" to share data and improvement strategies, and (3) infrastructure to support innovations based on electronic health records across communities, using experimental approaches.

Does Gender Matter? Collaborative Learning in a Virtual Corporate Community of Practice

ERIC Educational Resources Information Center

Tomcsik, Rachel E.

2010-01-01

The purpose of this study was to investigate how gender identity construction in virtuality and actuality affect collaborative learning in a corporate community of practice. As part of a virtual ethnographic design, participants were employees from a major American corporation who were interested specifically in social networking applications. The…

Global Conceptualization of the Professional Learning Community Process: Transitioning from Country Perspectives to International Commonalities

ERIC Educational Resources Information Center

Huffman, Jane B.; Olivier, Dianne F.; Wang, Ting; Chen, Peiying; Hairon, Salleh; Pang, Nicholas

2016-01-01

The authors seek to find common PLC structures and actions among global educational systems to enhance understanding and practice. Six international researchers formed the Global Professional Learning Community Network (GloPLCNet), conducted literature reviews of each country's involvement with PLC actions, and noted similarities and common…

Coping Styles and Gender-Role: Some Implications for Mexican American Adult Education.

ERIC Educational Resources Information Center

Evans, Stephanie; Crockett, Stanley

Passive coping behavior and traditional role-gender definitions affect learning needs of segments of the Mexican American adult community and may affect the behavioral development of younger family members. Networking within the community is useful in defining and meeting learning needs of adult Mexican Americans by creating cooperative,…

"The Teacher Education Conversation": A Network of Cooperating Teachers

ERIC Educational Resources Information Center

Nielsen, Wendy S.; Triggs, Valerie; Clarke, Anthony; Collins, John

2010-01-01

This study investigated a professional learning community of cooperating teachers and university-based teacher educators. To examine our roles and perspectives as colleagues in teacher education, we drew on frameworks in teacher learning and complexity science. Monthly group meetings of this inquiry community were held over two school years in a…

Adult Learners and Professional Development: Peer-to-Peer Learning in a Networked Community

ERIC Educational Resources Information Center

Guldberg, Karen

2008-01-01

This paper analyses how adult learners on a professional development course learn and develop through online dialogue. The research uses Wenger's community of practice framework, and assesses whether the concept of "legitimate peripheral participation" is useful in relation to this specific case study in which the students are practitioners and…

Join the Flock!

ERIC Educational Resources Information Center

Ferguson, Hadley

2010-01-01

A professional learning network (PLN) is a community of individuals around the world who are learning together. They can start out as strangers, people one couldn't pick out in a crowded room. But Twitter, the virtual meeting place where one's PLN comes together, helps these strangers come together to create a community built on communication and…

A bottom-up strategy for establishment of EER in three Nordic countries - the role of networks

NASA Astrophysics Data System (ADS)

Edström, Kristina; Kolmos, Anette; Malmi, Lauri; Bernhard, Jonte; Andersson, Pernille

2018-03-01

This paper investigates the emergence of an engineering education research (EER) community in three Nordic countries: Denmark, Finland and Sweden. First, an overview of the current state of Nordic EER authorship is produced through statistics on international publication. Then, the history of EER and its precursor activities is described in three national narratives. These national storylines are tied together in a description of recent networking activities, aiming to strengthen the EER communities on the Nordic level. Taking these three perspectives together, and drawing on concepts from community of practice theory, network theory and learning network theory, we discuss factors behind the differences in the countries, and draw some conclusions about implications for networking activities in a heterogeneous community. Further, we discuss the role of networks for affording a joint identity.

Convergent Technologies in Distance Learning Delivery.

ERIC Educational Resources Information Center

Wheeler, Steve

1999-01-01

Describes developments in British education in distance learning technologies. Highlights include networking the rural areas; communication, community, and paradigm shifts; digital compression techniques and telematics; Web-based material delivered over the Internet; system flexibility; social support; learning support; videoconferencing; and…

Learning Nursing in the Workplace Community: The Generation of Professional Capital

NASA Astrophysics Data System (ADS)

Gobbi, Mary

This chapter explores the connections between learning, working and professional communities in nursing. It draws on experiences and research in nursing practice and education, where not only do isolated professionals learn as a result of their actions for patients and others, but those professionals are part of a community whose associated networks enable learning to occur. Several characteristics of this professional community are shared with those found in Communities of Practice (CoPs) (Lave and Wenger, 1991; Wenger, 1998), but the balance and importance of many elements can differ. For instance, whilst Lave and Wenger (1991) describe many aspects of situated learning in CoPs that apply to nurses, their model is of little help in understanding the ways in which other professions as well as patients/clients and carers influence the development of nursing practice. Therefore, I shall argue that it is not just the Community of Practice that we need to consider

Project ECHO: A Telementoring Network Model for Continuing Professional Development.

PubMed

Arora, Sanjeev; Kalishman, Summers G; Thornton, Karla A; Komaromy, Miriam S; Katzman, Joanna G; Struminger, Bruce B; Rayburn, William F

2017-01-01

A major challenge with current systems of CME is the inability to translate the explosive growth in health care knowledge into daily practice. Project ECHO (Extension for Community Healthcare Outcomes) is a telementoring network designed for continuing professional development (CPD) and improving patient outcomes. The purpose of this article was to describe how the model has complied with recommendations from several authoritative reports about redesigning and enhancing CPD. This model links primary care clinicians through a knowledge network with an interprofessional team of specialists from an academic medical center who provide telementoring and ongoing education enabling community clinicians to treat patients with a variety of complex conditions. Knowledge and skills are shared during weekly condition-specific videoconferences. The model exemplifies learning as described in the seven levels of CPD by Moore (participation, satisfaction, learning, competence, performance, patient, and community health). The model is also aligned with recommendations from four national reports intended to redesign knowledge transfer in improving health care. Efforts in learning sessions focus on information that is relevant to practice, focus on evidence, education methodology, tailoring of recommendations to individual needs and community resources, and interprofessionalism. Project ECHO serves as a telementoring network model of CPD that aligns with current best practice recommendations for CME. This transformative initiative has the potential to serve as a leading model for larger scale CPD, nationally and globally, to enhance access to care, improve quality, and reduce cost.

Leveraging the Potential of Personal Learning Networks for Teacher Professional Development

ERIC Educational Resources Information Center

Maloney, Katherine J.

2016-01-01

In times of exponential change, high quality, cost-effective teacher professional development is an urgent need that personal learning networks (PLNs) promise to address. The purpose of the qualitative case study was to (a) explore, understand, and describe how PreK-12 educators, who are members of The Educator's PLN and Classroom 2.0 communities,…

A model for evolution of overlapping community networks

NASA Astrophysics Data System (ADS)

Karan, Rituraj; Biswal, Bibhu

2017-05-01

A model is proposed for the evolution of network topology in social networks with overlapping community structure. Starting from an initial community structure that is defined in terms of group affiliations, the model postulates that the subsequent growth and loss of connections is similar to the Hebbian learning and unlearning in the brain and is governed by two dominant factors: the strength and frequency of interaction between the members, and the degree of overlap between different communities. The temporal evolution from an initial community structure to the current network topology can be described based on these two parameters. It is possible to quantify the growth occurred so far and predict the final stationary state to which the network is likely to evolve. Applications in epidemiology or the spread of email virus in a computer network as well as finding specific target nodes to control it are envisaged. While facing the challenge of collecting and analyzing large-scale time-resolved data on social groups and communities one faces the most basic questions: how do communities evolve in time? This work aims to address this issue by developing a mathematical model for the evolution of community networks and studying it through computer simulation.

Topic Models for Link Prediction in Document Networks

ERIC Educational Resources Information Center

Kataria, Saurabh

2012-01-01

Recent explosive growth of interconnected document collections such as citation networks, network of web pages, content generated by crowd-sourcing in collaborative environments, etc., has posed several challenging problems for data mining and machine learning community. One central problem in the domain of document networks is that of "link…

Creating a Community of Women Educated in Literacy

ERIC Educational Resources Information Center

Miller, Mev

2013-01-01

This chapter explores the creative ways in which WE LEARN (Women Expanding Literacy Education Action Resource Network) empowers women's full participation in community across all literacy levels.

Structure and inference in annotated networks

PubMed Central

Newman, M. E. J.; Clauset, Aaron

2016-01-01

For many networks of scientific interest we know both the connections of the network and information about the network nodes, such as the age or gender of individuals in a social network. Here we demonstrate how this ‘metadata' can be used to improve our understanding of network structure. We focus in particular on the problem of community detection in networks and develop a mathematically principled approach that combines a network and its metadata to detect communities more accurately than can be done with either alone. Crucially, the method does not assume that the metadata are correlated with the communities we are trying to find. Instead, the method learns whether a correlation exists and correctly uses or ignores the metadata depending on whether they contain useful information. We demonstrate our method on synthetic networks with known structure and on real-world networks, large and small, drawn from social, biological and technological domains. PMID:27306566

Structure and inference in annotated networks

NASA Astrophysics Data System (ADS)

Newman, M. E. J.; Clauset, Aaron

2016-06-01

For many networks of scientific interest we know both the connections of the network and information about the network nodes, such as the age or gender of individuals in a social network. Here we demonstrate how this `metadata' can be used to improve our understanding of network structure. We focus in particular on the problem of community detection in networks and develop a mathematically principled approach that combines a network and its metadata to detect communities more accurately than can be done with either alone. Crucially, the method does not assume that the metadata are correlated with the communities we are trying to find. Instead, the method learns whether a correlation exists and correctly uses or ignores the metadata depending on whether they contain useful information. We demonstrate our method on synthetic networks with known structure and on real-world networks, large and small, drawn from social, biological and technological domains.

Networked Learning and Network Science: Potential Applications to Health Professionals' Continuing Education and Development.

PubMed

Margolis, Alvaro; Parboosingh, John

2015-01-01

Prior interpersonal relationships and interactivity among members of professional associations may impact the learning process in continuing medical education (CME). On the other hand, CME programs that encourage interactivity between participants may impact structures and behaviors in these professional associations. With the advent of information and communication technologies, new communication spaces have emerged that have the potential to enhance networked learning in national and international professional associations and increase the effectiveness of CME for health professionals. In this article, network science, based on the application of network theory and other theories, is proposed as an approach to better understand the contribution networking and interactivity between health professionals in professional communities make to their learning and adoption of new practices over time. © 2015 The Alliance for Continuing Education in the Health Professions, the Society for Academic Continuing Medical Education, and the Council on Continuing Medical Education, Association for Hospital Medical Education.

Dynamic functional connectivity using state-based dynamic community structure: method and application to opioid analgesia.

PubMed

Robinson, Lucy F; Atlas, Lauren Y; Wager, Tor D

2015-03-01

We present a new method, State-based Dynamic Community Structure, that detects time-dependent community structure in networks of brain regions. Most analyses of functional connectivity assume that network behavior is static in time, or differs between task conditions with known timing. Our goal is to determine whether brain network topology remains stationary over time, or if changes in network organization occur at unknown time points. Changes in network organization may be related to shifts in neurological state, such as those associated with learning, drug uptake or experimental conditions. Using a hidden Markov stochastic blockmodel, we define a time-dependent community structure. We apply this approach to data from a functional magnetic resonance imaging experiment examining how contextual factors influence drug-induced analgesia. Results reveal that networks involved in pain, working memory, and emotion show distinct profiles of time-varying connectivity. Copyright © 2014 Elsevier Inc. All rights reserved.

Giving Life to Data: University-Community Partnerships in Addressing HIV and AIDS through Building Digital Archives

ERIC Educational Resources Information Center

de Lange, Naydene; Mnisi, Thoko; Mitchell, Claudia; Park, Eun G.

2010-01-01

The partnerships, especially university-community partnerships, that sustain globally networked learning environments often face challenges in mobilizing research to empower local communities to effect change. This article examines these challenges by describing a university-community partnership involving researchers and graduate students in…

Associate degree nursing in a community-based health center network: lessons in collaboration.

PubMed

Connolly, Charlene; Wilson, Diane; Missett, Regina; Dooley, Wanda C; Avent, Pamela A; Wright, Ronda

2004-02-01

This exemplar highlights the ability of community experiences to enhance nursing students' understanding of the principles of community-based care: advocating self-care; focusing on prevention, family, culture, and community; providing continuity of care; and collaborating. An innovative teaching-practice model (i.e., a nurse-managed "network" of clinics), incorporating service-learning, was created. The Network's purposes are to provide practice sites in community-based primary care settings for student clinical rotations, increasing the awareness of the civic and social responsibility to provide quality health care for disadvantaged populations; and to reduce health disparities by increasing access to free primary health care, including health promotion and disease prevention, for disadvantaged individuals. Network clients receive free health care, referrals, and guidance to effectively obtain additional health care resources for themselves and their families. The Network is a national pioneer in modeling the delivery of primary care services through a faculty-student practice plan, with leadership emanating from a community college.

The TENCompetence Infrastructure: A Learning Network Implementation

NASA Astrophysics Data System (ADS)

Vogten, Hubert; Martens, Harrie; Lemmers, Ruud

The TENCompetence project developed a first release of a Learning Network infrastructure to support individuals, groups and organisations in professional competence development. This infrastructure Learning Network infrastructure was released as open source to the community thereby allowing users and organisations to use and contribute to this development as they see fit. The infrastructure consists of client applications providing the user experience and server components that provide the services to these clients. These services implement the domain model (Koper 2006) by provisioning the entities of the domain model (see also Sect. 18.4) and henceforth will be referenced as domain entity services.

Using a Social Networking Site for Experiential Learning: Appropriating, Lurking, Modeling and Community Building

ERIC Educational Resources Information Center

Arnold, Nike; Paulus, Trena

2010-01-01

With social networking sites playing an increasingly important role in today's society, educators are exploring how they can be used as a teaching and learning tool. This article reports the findings of a qualitative case study about the integration of "Ning" into a blended course. The study draws on the perspectives of the students, the…

Do Institutional Social Networks Work? Fostering a Sense of Community and Enhancing Learning

ERIC Educational Resources Information Center

Hatzipanagos, Stylianos; John, Bernadette A.

2017-01-01

In this paper we report on the evaluation of an institutional social network (KINSHIP) whose aims were to foster an improved sense of community, enhance communication and serve as a space to model digital professionalism for students at King's College London, UK. Our evaluation focused on a pilot where students' needs with regard to the provision…

Adopting Social Networking Sites (SNSs) as Interactive Communities among English Foreign Language (EFL) Learners in Writing: Opportunities and Challenges

ERIC Educational Resources Information Center

Razak, Norizan Abdul; Saeed, Murad; Ahmad, Zulkifli

2013-01-01

As most traditional classroom environments in English as Foreign Language (EFL) still restrict learners' collaboration and interaction in college writing classes, today, the majority of EFL learners are accessing Social Networking Sites (SNSs) as online communities of practice (CoPs) for adopting informal collaborative learning as a way of…

Survey on deep learning for radiotherapy.

PubMed

Meyer, Philippe; Noblet, Vincent; Mazzara, Christophe; Lallement, Alex

2018-07-01

More than 50% of cancer patients are treated with radiotherapy, either exclusively or in combination with other methods. The planning and delivery of radiotherapy treatment is a complex process, but can now be greatly facilitated by artificial intelligence technology. Deep learning is the fastest-growing field in artificial intelligence and has been successfully used in recent years in many domains, including medicine. In this article, we first explain the concept of deep learning, addressing it in the broader context of machine learning. The most common network architectures are presented, with a more specific focus on convolutional neural networks. We then present a review of the published works on deep learning methods that can be applied to radiotherapy, which are classified into seven categories related to the patient workflow, and can provide some insights of potential future applications. We have attempted to make this paper accessible to both radiotherapy and deep learning communities, and hope that it will inspire new collaborations between these two communities to develop dedicated radiotherapy applications. Copyright © 2018 Elsevier Ltd. All rights reserved.

Motivation, Empowerment, and Innovation: Teachers' Beliefs about How Participating in the Edmodo Math Subject Community Shapes Teaching and Learning

ERIC Educational Resources Information Center

Trust, Torrey

2017-01-01

Educators around the world participate in virtual communities, social media sites, and online networks in order to gain support and ideas for improving their practice. Many researchers have explored how and why teachers participate in these online spaces; however, there is limited research on how participation might impact teaching and learning.…

A Community of Practice Focused on Resiliency in Graduate Nursing Students

ERIC Educational Resources Information Center

Wildes, Megan

2016-01-01

The purpose of this project was to create a Community of Practice (CoP) focused on resiliency in graduate nursing students. CoPs are networks of people who collectively learn and share in learning as a social experience. By engaging a CoP that focused on resiliency in graduate nursing students, the aim was to positively support students' sense of…

Critical elements in the development and implementation of Community Wildfire Protection Plans (CWPPs)

Treesearch

Pamela Jakes; Sam Burns; Antony Cheng; Emily Saeli; Kristen Nelson Rachel Brummel; Stephanie Grayzeck; Victoria Sturtevant; Daniel Williams

2007-01-01

Community wildfire protection plans (CWPPs) are being developed and implemented in communities across the United States. In a series of case studies, researchers found that the process of developing a CWPP can lead to benefits beyond those associated with fuels reduction, including enhancing social networks, developing learning communities, and building community...

What's in a Name: Dimensions of Social Learning in Teacher Groups

ERIC Educational Resources Information Center

Vrieling, E.; van den Beemt, A.; de Laat, M.

2016-01-01

Induced by a literature review, this paper presents a framework of dimensions and indicators highlighting the underpinning aspects and values of social learning within teacher groups. Notions of social networks, communities of practice and learning teams were taken as the main perspectives to influence this social learning framework. The review…

Impacts and Characteristics of Computer-Based Science Inquiry Learning Environments for Precollege Students

ERIC Educational Resources Information Center

Donnelly, Dermot F.; Linn, Marcia C.; Ludvigsen, Sten

2014-01-01

The National Science Foundation-sponsored report "Fostering Learning in the Networked World" called for "a common, open platform to support communities of developers and learners in ways that enable both to take advantage of advances in the learning sciences." We review research on science inquiry learning environments (ILEs)…

Primary and Secondary Virtual Learning in New Zealand: Examining Barriers to Achieving Maturity

ERIC Educational Resources Information Center

Barbour, Michael; Davis, Niki; Wenmoth, Derek

2016-01-01

This paper describes the organisational development of virtual learning in networked rural schools in New Zealand, specifically the obstacles that e-learning clusters of rural schools face in their journey to sustainability and maturity through the lens of the Ministry's Learning Communities Online Handbook. Analysis of a nationwide purposeful…

Synchronous Writing Environments: Real-Time Interaction in Cyberspace (Technology Tidbits).

ERIC Educational Resources Information Center

Anderson-Inman, Lynne; And Others

1996-01-01

Discusses three types of synchronous writing environments, each offering teachers and students a vehicle for using electronic text to promote literacy-based learning communities: classroom collaboration, networked notetaking, and virtual communities. (SR)

A National Strategy to Develop Pragmatic Clinical Trials Infrastructure

PubMed Central

Guise, Jeanne‐Marie; Dolor, Rowena J.; Meissner, Paul; Tunis, Sean; Krishnan, Jerry A.; Pace, Wilson D.; Saltz, Joel; Hersh, William R.; Michener, Lloyd; Carey, Timothy S.

2014-01-01

Abstract An important challenge in comparative effectiveness research is the lack of infrastructure to support pragmatic clinical trials, which compare interventions in usual practice settings and subjects. These trials present challenges that differ from those of classical efficacy trials, which are conducted under ideal circumstances, in patients selected for their suitability, and with highly controlled protocols. In 2012, we launched a 1‐year learning network to identify high‐priority pragmatic clinical trials and to deploy research infrastructure through the NIH Clinical and Translational Science Awards Consortium that could be used to launch and sustain them. The network and infrastructure were initiated as a learning ground and shared resource for investigators and communities interested in developing pragmatic clinical trials. We followed a three‐stage process of developing the network, prioritizing proposed trials, and implementing learning exercises that culminated in a 1‐day network meeting at the end of the year. The year‐long project resulted in five recommendations related to developing the network, enhancing community engagement, addressing regulatory challenges, advancing information technology, and developing research methods. The recommendations can be implemented within 24 months and are designed to lead toward a sustained national infrastructure for pragmatic trials. PMID:24472114

A Study of the Predictive Relationship between Online Social Presence and ONLE Interaction

ERIC Educational Resources Information Center

Tu, Chih-Hsiung; Yen, Cherng-Jyh; Blocher, J. Michael; Chan, Junn-Yih

2012-01-01

Open Network Learning Environments (ONLE) are online networks that afford learners the opportunity to participate in creative content endeavors, personalized identity projections, networked mechanism management, and effective collaborative community integration by applying Web 2.0 tools in open environments. It supports social interaction by…

Organisational aspects and benchmarking of e-learning initiatives: a case study with South African community health workers.

PubMed

Reisach, Ulrike; Weilemann, Mitja

2016-06-01

South Africa desperately needs a comprehensive approach to fight HIV/AIDS. Education is crucial to reach this goal and Internet and e-learning could offer huge opportunities to broaden and deepen the knowledge basis. But due to the huge societal and digital divide between rich and poor areas, e-learning is difficult to realize in the townships. Community health workers often act as mediators and coaches for people seeking medical and personal help. They could give good advice regarding hygiene, nutrition, protection of family members in case of HIV/AIDS and finding legal ways to earn one's living if they were trained to do so. Therefore they need to have a broader general knowledge. Since learning opportunities in the townships are scarce, a system for e-learning has to be created in order to overcome the lack of experience with computers or the Internet and to enable them to implement a network of expertise. The article describes how the best international resources on basic medical knowledge, HIV/AIDS as well as on basic economic and entrepreneurial skills were benchmarked to be integrated into an e-learning system. After tests with community health workers, researchers developed recommendations on building a self-sustaining system for learning, including a network of expertise and best practice sharing. The article explains the opportunities and challenges for community health workers, which could provide information for other parts of the world with similar preconditions of rural poverty. © The Author(s) 2015.

On-Line Learning Technologies: Networking in the Classroom. Rural, Small Schools Network Information Exchange No. 16, Summer 1994.

ERIC Educational Resources Information Center

Regional Laboratory for Educational Improvement of the Northeast & Islands, Andover, MA.

This packet includes reprints of articles and other information concerning the use of computer networks in small, rural schools. Computer networks can minimize isolation; develop stronger links to the community; access reference information from remote sources; and create professional and academic exchanges for teachers, administrators, and…

Disseminating Innovations in Teaching Value-Based Care Through an Online Learning Network.

PubMed

Gupta, Reshma; Shah, Neel T; Moriates, Christopher; Wallingford, September; Arora, Vineet M

2017-08-01

A national imperative to provide value-based care requires new strategies to teach clinicians about high-value care. We developed a virtual online learning network aimed at disseminating emerging strategies in teaching value-based care. The online Teaching Value in Health Care Learning Network includes monthly webinars that feature selected innovators, online discussion forums, and a repository for sharing tools. The learning network comprises clinician-educators and health system leaders across North America. We conducted a cross-sectional online survey of all webinar presenters and the active members of the network, and we assessed program feasibility. Six months after the program launched, there were 277 learning community members in 22 US states. Of the 74 active members, 50 (68%) completed the evaluation. Active members represented independently practicing physicians and trainees in 7 specialties, nurses, educators, and health system leaders. Nearly all speakers reported that the learning network provided them with a unique opportunity to connect with a different audience and achieve greater recognition for their work. Of the members who were active in the learning network, most reported that strategies gleaned from the network were helpful, and some adopted or adapted these innovations at their home institutions. One year after the program launched, the learning network had grown to 364 total members. The learning network helped participants share and implement innovations to promote high-value care. The model can help disseminate innovations in emerging areas of health care transformation, and is sustainable without ongoing support after a period of start-up funding.

"It's Not My Community"--Insights from Social Identity Theory Explaining Community-Failure

ERIC Educational Resources Information Center

Mueller, Julia; Renzl, Birgit; Kaar, Alexandra

2008-01-01

The availability of new Information and Communication Technologies (ICT) has led organisations to implement different kinds of electronic knowledge networks and communities. While the technological infrastructure connects employees in different locations and allows for learning and the flow of knowledge across traditional organisational…

Tinder Elementary: A Case Study of the Quest Network.

ERIC Educational Resources Information Center

Howley-Rowe, Caitlin

In 1996, Quest staff began working with teams from school communities in three West Virginia county school districts to invigorate efforts for continuous school improvement. This first learning community consisted of students, teachers, administrators, parents, and community members, who ultimately wrote individual school visions and improvement…

Learning to teach in a coteaching community of practice

NASA Astrophysics Data System (ADS)

Gallo-Fox, Jennifer

2009-12-01

As a result of the standards and accountability reforms of the past two decades, heightened attention has been focused upon student learning in the K-12 classrooms, classroom teacher practice, and teacher preparation. This has led to the acknowledgement of limitations of traditional field practicum and that these learning experiences are not well understood (Bullough et al., 2003; Clift & Brady, 2005). Alternative models for student teaching, including those that foster social learning experiences, have been developed. However, research is necessary to understand the implications of these models for preservice teacher learning. Drawing on sociocultural theoretical frameworks and ethnographic perspectives (Gee and Green, 1998), this qualitative research study examined the learning experiences of a cohort of eight undergraduate preservice secondary science teachers who cotaught with eight cooperating teachers for their full practicum semester. In this model, interns planned and taught alongside multiple cooperating teachers and other interns. This study centers on the social and cultural learning that occurred within this networked model and the ways that the interns developed as high school science teachers within a coteaching community of practice (Wenger, 1998). This study utilized the following data sources: Intern and cooperating teachers interviews, field observations, meeting recordings, and program documentation. Analysis focused on community and interpersonal planes of development (Rogoff, 1995) in order understand of the nature of the learning experiences and the learning that was afforded through participant interactions. Several conclusions were made after the data were analyzed. On a daily basis, the interns participated in a wide range of cultural practices and in the activities of the community. The coteaching model challenged the idiosyncratic nature of traditional student teaching models by creating opportunities to learn across various classroom contexts. In different classrooms, there were markedly different constructions of teacher practice and participant roles. The implementation of the coteaching model also resulted in the creation of an interconnected network of colleagues. In the resulting learning community, coteachers supported one another's developing practice and critically examined their shared practice.

A statewide biomedical communications network for South Carolina.

PubMed

Mangiaracina, J; Sawyer, W A

1976-03-01

In 1972, the Medical University of South Carolina was awarded a contract to establish 4 Area Health Education Centers in South Carolina. These centers, based in community hospitals, provide residency programs, clinical instruction for students, and continuing education programs for health professionals. In late 1974, contractual agreements between the Medical University of South Carolina's Library/Learning Resource Center and the Area Health Education Centers were negotiated to provide book and nonbook learning materials to all health practitioners in South Carolina. The history and the functions of the resulting network and evaluation of audiovisual and self-instructional learning materials procured and distributed by the network are described.

CyberPsychological Computation on Social Community of Ubiquitous Learning.

PubMed

Zhou, Xuan; Dai, Genghui; Huang, Shuang; Sun, Xuemin; Hu, Feng; Hu, Hongzhi; Ivanović, Mirjana

2015-01-01

Under the modern network environment, ubiquitous learning has been a popular way for people to study knowledge, exchange ideas, and share skills in the cyberspace. Existing research findings indicate that the learners' initiative and community cohesion play vital roles in the social communities of ubiquitous learning, and therefore how to stimulate the learners' interest and participation willingness so as to improve their enjoyable experiences in the learning process should be the primary consideration on this issue. This paper aims to explore an effective method to monitor the learners' psychological reactions based on their behavioral features in cyberspace and therefore provide useful references for adjusting the strategies in the learning process. In doing so, this paper firstly analyzes the psychological assessment of the learners' situations as well as their typical behavioral patterns and then discusses the relationship between the learners' psychological reactions and their observable features in cyberspace. Finally, this paper puts forward a CyberPsychological computation method to estimate the learners' psychological states online. Considering the diversity of learners' habitual behaviors in the reactions to their psychological changes, a BP-GA neural network is proposed for the computation based on their personalized behavioral patterns.

CyberPsychological Computation on Social Community of Ubiquitous Learning

PubMed Central

Zhou, Xuan; Dai, Genghui; Huang, Shuang; Sun, Xuemin; Hu, Feng; Hu, Hongzhi; Ivanović, Mirjana

2015-01-01

Under the modern network environment, ubiquitous learning has been a popular way for people to study knowledge, exchange ideas, and share skills in the cyberspace. Existing research findings indicate that the learners' initiative and community cohesion play vital roles in the social communities of ubiquitous learning, and therefore how to stimulate the learners' interest and participation willingness so as to improve their enjoyable experiences in the learning process should be the primary consideration on this issue. This paper aims to explore an effective method to monitor the learners' psychological reactions based on their behavioral features in cyberspace and therefore provide useful references for adjusting the strategies in the learning process. In doing so, this paper firstly analyzes the psychological assessment of the learners' situations as well as their typical behavioral patterns and then discusses the relationship between the learners' psychological reactions and their observable features in cyberspace. Finally, this paper puts forward a CyberPsychological computation method to estimate the learners' psychological states online. Considering the diversity of learners' habitual behaviors in the reactions to their psychological changes, a BP-GA neural network is proposed for the computation based on their personalized behavioral patterns. PMID:26557846

A Survey of Student Attitudes on the Use of Social Networking to Build Learning Communities

ERIC Educational Resources Information Center

Arndt, Timothy

2012-01-01

Post-secondary students are increasingly receiving instruction by distance learning. This mode of learning can result in the students learning in isolation, with bad results in learning outcomes. The same type of isolation can occur for part-time students and those who are working while taking classes. In such circumstances, we believe that it…

The Use of Twitter in the Creation of Educational Professional Learning Opportunities

ERIC Educational Resources Information Center

Ross, Carrie R.; Maninger, Robert M.; LaPrairie, Kimberly N.; Sullivan, Sam

2015-01-01

This study sought to examine how educators are using Twitter to increase their professional learning opportunities beyond the boundaries of traditional professional development offers, and whether educators feel a greater sense of fulfillment receiving professional development through networking and community learning than they do through…

A Generational Opportunity: A 21st Century Learning Content Delivery System

ERIC Educational Resources Information Center

McElroy, Patrick

2007-01-01

This paper describes a collaboratively developed, open marketplace for network-based learning and research content for the higher education community. It explores how available technologies and standards can facilitate a new knowledge creation industry for higher education learning content that engages all stakeholders in new ways. The Advisory…

Teaching Social Work Practice Research to Enhance Research-Minded Expertise

ERIC Educational Resources Information Center

Satka, Mirja; Kääriäinen, Aino; Yliruka, Laura

2016-01-01

The emphasis on student cognitive knowledge and expertise in social work education has been shifting more toward reflective learning that features learning networks and dialogical interaction. In the context of innovative knowledge communities for promoting social work expertise, educators have become facilitators of learning that is expanding…

Interconnecting Networks of Practice for Professional Learning

ERIC Educational Resources Information Center

Mackey, Julie; Evans, Terry

2011-01-01

The article explores the complementary connections between communities of practice and the ways in which individuals orchestrate their engagement with others to further their professional learning. It does so by reporting on part of a research project conducted in New Zealand on teachers' online professional learning in a university graduate…

(Re/Dis)assembling Learning Practices Online with Fluid Objects and Spaces

ERIC Educational Resources Information Center

Thompson, Terrie Lynn

2012-01-01

Actor network theory (ANT) is used to explore how work-learning is enacted in informal online communities and illustrates how researchers might use sociomaterial approaches to uncover complexities, uncertainties, and specificities of work-learning practices. Participants in this study were self-employed workers. The relational and material aspects…

Using smart mobile devices in social-network-based health education practice: a learning behavior analysis.

PubMed

Wu, Ting-Ting

2014-06-01

Virtual communities provide numerous resources, immediate feedback, and information sharing, enabling people to rapidly acquire information and knowledge and supporting diverse applications that facilitate interpersonal interactions, communication, and sharing. Moreover, incorporating highly mobile and convenient devices into practice-based courses can be advantageous in learning situations. Therefore, in this study, a tablet PC and Google+ were introduced to a health education practice course to elucidate satisfaction of learning module and conditions and analyze the sequence and frequency of learning behaviors during the social-network-based learning process. According to the analytical results, social networks can improve interaction among peers and between educators and students, particularly when these networks are used to search for data, post articles, engage in discussions, and communicate. In addition, most nursing students and nursing educators expressed a positive attitude and satisfaction toward these innovative teaching methods, and looked forward to continuing the use of this learning approach. Copyright © 2014 Elsevier Ltd. All rights reserved.

Measuring Student Interactions Using Networks: Insights into the Learning Community of a Large Active Learning Course

ERIC Educational Resources Information Center

Buchenroth-Martin, Cynthia; DiMartino, Trevor; Martin, Andrew P.

2017-01-01

Collaborative learning in small groups is commonly implemented as a part of student-centered curricula. In large-enrollment courses, details of the interactions among students as a consequence of working in collaborative groups are often unknown but are important because how students interact influences the effectiveness of peer learning. We…

Online Learner Self-Regulation: Learning Presence Viewed through Quantitative Content- and Social Network Analysis

ERIC Educational Resources Information Center

Shea, Peter; Hayes, Suzanne; Smith, Sedef Uzuner; Vickers, Jason; Bidjerano, Temi; Gozza-Cohen, Mary; Jian, Shou-Bang; Pickett, Alexandra M.; Wilde, Jane; Tseng, Chi-Hua

2013-01-01

This paper presents an extension of an ongoing study of online learning framed within the community of inquiry (CoI) model (Garrison, Anderson, & Archer, 2001) in which we further examine a new construct labeled as "learning presence." We use learning presence to refer to the iterative processes of forethought and planning,…

Engaging Latino Communities from the Ground Up: Three Tools

ERIC Educational Resources Information Center

Erbstein, Nancy; Moncloa, Fe; Olagundoye, Stacy Shwartz; Diaz-Carrasco, Claudia; Hill, Russell

2017-01-01

California's 4-H Youth Development Program has adopted an asset-based community development approach to extending programming with Latino youths and families. This approach entails learning and relationship building with local Latino communities and building on untapped existing resources, such as Latino-serving organizations and networks. Here we…

Developing an online professional network for veterinary education: the NOVICE project.

PubMed

Baillie, Sarah; Kinnison, Tierney; Forrest, Neil; Dale, Vicki H M; Ehlers, Jan P; Koch, Michael; Mándoki, Mira; Ciobotaru, Emilia; de Groot, Esther; Boerboom, Tobias B B; van Beukelen, Peter

2011-01-01

An online professional network for veterinarians, veterinary students, veterinary educationalists, and ICT (Information and Communication Technology) educationalists is being developed under the EU (European Union) Lifelong Learning Programme. The network uses Web 2.0, a term used to describe the new, more interactive version of the Internet, and includes tools such as wikis, blogs, and discussion boards. Focus groups conducted with qualified and student veterinarians within the project's five founding countries (The Netherlands, Germany, United Kingdom, Hungary, Romania) demonstrated that online professional communities can be valuable for accessing information and establishing contacts. Online networks have the potential to overcome common challenges to face-to-face communities-such as distance, cost, and timing-but they have their own drawbacks, such as security and professionalism issues. The Network Of Veterinary ICt in Education (NOVICE) was developed using Elgg, an open-source, free social networking platform, after several software options had been considered. NOVICE aims to promote the understanding of Web 2.0, confidence to use social software tools, and participation in an online community. Therefore, the Web site contains help sections, Frequently Asked Questions, and access to support from ICT experts. Five months after the network's launch (and just over one year into the project) 515 members from 28 countries had registered. Further research will include analysis of a core group's activities, which will inform ongoing support for and development of informal, lifelong learning in a veterinary context.

The Significance of Kinship for Medical Education: Reflections on the Use of a Bespoke Social Network to Support Learners' Professional Identities.

PubMed

Hatzipanagos, Stylianos; John, Bernadette; Chiu, Yuan-Li Tiffany

2016-03-03

Social media can support and sustain communities much better than previous generations of learning technologies, where institutional barriers undermined any initiatives for embedding formal and informal learning. Some of the many types of social media have already had an impact on student learning, based on empirical evidence. One of these, social networking, has the potential to support communication in formal and informal spaces. In this paper we report on the evaluation of an institutional social network-King's Social Harmonisation Project (KINSHIP)-established to foster an improved sense of community, enhance communication, and serve as a space to model digital professionalism for students at King's College London, United Kingdom. Our evaluation focused on a study that examined students' needs and perceptions with regard to the provision of a cross-university platform. Data were collected from students, including those in the field of health and social care, in order to recommend a practical way forward to address current needs in this area. The findings indicate that the majority of the respondents were positive about using a social networking platform to develop their professional voice and profiles. Results suggest that timely promotion of the platform, emphasis on interface and learning design, and a clear identity are required in order to gain acceptance as the institutional social networking site. Empirical findings in this study project an advantage of an institutional social network such a KINSHIP over other social networks (eg, Facebook) because access is limited to staff and students and the site is mainly being used for academic purposes.

Smart Girls, Black Girls, Mean Girls, and Bullies: At the Intersection of Identities and the Mediating Role of Young Girls' Social Network in Mathematical Communities of Practice

ERIC Educational Resources Information Center

Gholson, Maisie; Martin, Danny B.

2014-01-01

By taking an intersectional and emic view to studying a group of African American girls in a third-grade class, we attempted to capture the complexity of mathematics learning for these girls. Traditionally, children's social networks in school are framed as external to mathematics content learning. Our preliminary analyses of student interviews…

How does language change as a lexical network? An investigation based on written Chinese word co-occurrence networks

PubMed Central

Chen, Heng; Chen, Xinying

2018-01-01

Language is a complex adaptive system, but how does it change? For investigating this process, four diachronic Chinese word co-occurrence networks have been built based on texts that were written during the last 2,000 years. By comparing the network indicators that are associated with the hierarchical features in language networks, we learn that the hierarchy of Chinese lexical networks has indeed evolved over time at three different levels. The connections of words at the micro level are continually weakening; the number of words in the meso-level communities has increased significantly; and the network is expanding at the macro level. This means that more and more words tend to be connected to medium-central words and form different communities. Meanwhile, fewer high-central words link these communities into a highly efficient small-world network. Understanding this process may be crucial for understanding the increasing structural complexity of the language system. PMID:29489837

How does language change as a lexical network? An investigation based on written Chinese word co-occurrence networks.

PubMed

Chen, Heng; Chen, Xinying; Liu, Haitao

2018-01-01

Language is a complex adaptive system, but how does it change? For investigating this process, four diachronic Chinese word co-occurrence networks have been built based on texts that were written during the last 2,000 years. By comparing the network indicators that are associated with the hierarchical features in language networks, we learn that the hierarchy of Chinese lexical networks has indeed evolved over time at three different levels. The connections of words at the micro level are continually weakening; the number of words in the meso-level communities has increased significantly; and the network is expanding at the macro level. This means that more and more words tend to be connected to medium-central words and form different communities. Meanwhile, fewer high-central words link these communities into a highly efficient small-world network. Understanding this process may be crucial for understanding the increasing structural complexity of the language system.

Local communities obstruct global consensus: Naming game on multi-local-world networks

NASA Astrophysics Data System (ADS)

Lou, Yang; Chen, Guanrong; Fan, Zhengping; Xiang, Luna

2018-02-01

Community structure is essential for social communications, where individuals belonging to the same community are much more actively interacting and communicating with each other than those in different communities within the human society. Naming game, on the other hand, is a social communication model that simulates the process of learning a name of an object within a community of humans, where the individuals can generally reach global consensus asymptotically through iterative pair-wise conversations. The underlying network indicates the relationships among the individuals. In this paper, three typical topologies, namely random-graph, small-world and scale-free networks, are employed, which are embedded with the multi-local-world community structure, to study the naming game. Simulations show that (1) the convergence process to global consensus is getting slower as the community structure becomes more prominent, and eventually might fail; (2) if the inter-community connections are sufficiently dense, neither the number nor the size of the communities affects the convergence process; and (3) for different topologies with the same (or similar) average node-degree, local clustering of individuals obstruct or prohibit global consensus to take place. The results reveal the role of local communities in a global naming game in social network studies.

The Personal Learning Planner: Collaboration through Online Learning and Publication

ERIC Educational Resources Information Center

Gibson, David; Sherry, Lorraine; Havelock, Bruce

2007-01-01

This paper discusses the online Personal Learning Planner (PLP) project underway at the National Institute of Community Innovations (NICI), one of the partners in the Teacher Education Network (TEN), a 2000 PT3 Catalyst grantee. The Web-based PLP provides a standards-linked "portfolio space" for both works in progress and demonstration collections…

The Conundrum of Training and Capacity Building for People with Learning Disabilities Doing Research

ERIC Educational Resources Information Center

Nind, Melanie; Chapman, Rohhss; Seale, Jane; Tilley, Liz

2016-01-01

Background: This study explores the training involved when people with learning disabilities take their place in the community as researchers. This was a theme in a recent UK seminar series where a network of researchers explored pushing the boundaries of participatory research. Method: Academics, researchers with learning disabilities, supporters…

Infrastructure to support learning health systems: are we there yet? Innovative solutions and lessons learned from American Recovery and Reinvestment Act CER investments.

PubMed

Holve, Erin; Segal, Courtney

2014-11-01

The 11 big health data networks participating in the AcademyHealth Electronic Data Methods Forum represent cutting-edge efforts to harness the power of big health data for research and quality improvement. This paper is a comparative case study based on site visits conducted with a subset of these large infrastructure grants funded through the Recovery Act, in which four key issues emerge that can inform the evolution of learning health systems, including the importance of acknowledging the challenges of scaling specialized expertise needed to manage and run CER networks; the delicate balance between privacy protections and the utility of distributed networks; emerging community engagement strategies; and the complexities of developing a robust business model for multi-use networks.

Social Networking Web Sites as a Tool for Student Transitions: Purposive Use of Social Networking Web Sites for the First-Year Experience

ERIC Educational Resources Information Center

Nalbone, David P.; Kovach, Ronald J.; Fish, Jessica N.; McCoy, Kelsey M.; Jones, Kathryn E.; Wright, Hillary Rawlings

2016-01-01

The current study investigated the potential role that social networking Web sites (e.g., Facebook) played in creating both actual and virtual learning communities within the first-year seminar. Researchers conducted a 2-year longitudinal study to assess whether students who were connected within a university-founded virtual network persisted in…

Combined node and link partitions method for finding overlapping communities in complex networks

PubMed Central

Jin, Di; Gabrys, Bogdan; Dang, Jianwu

2015-01-01

Community detection in complex networks is a fundamental data analysis task in various domains, and how to effectively find overlapping communities in real applications is still a challenge. In this work, we propose a new unified model and method for finding the best overlapping communities on the basis of the associated node and link partitions derived from the same framework. Specifically, we first describe a unified model that accommodates node and link communities (partitions) together, and then present a nonnegative matrix factorization method to learn the parameters of the model. Thereafter, we infer the overlapping communities based on the derived node and link communities, i.e., determine each overlapped community between the corresponding node and link community with a greedy optimization of a local community function conductance. Finally, we introduce a model selection method based on consensus clustering to determine the number of communities. We have evaluated our method on both synthetic and real-world networks with ground-truths, and compared it with seven state-of-the-art methods. The experimental results demonstrate the superior performance of our method over the competing ones in detecting overlapping communities for all analysed data sets. Improved performance is particularly pronounced in cases of more complicated networked community structures. PMID:25715829

The Role of Meaning in Life for the Quality of Life of Community-Dwelling Chinese Elders With Low Socioeconomic Status

PubMed Central

2018-01-01

Objectives: There is limited research on the meaning in life among Chinese elders. This study aims to examine the association among functional disabilities, meaning in life, social network, and quality of life in community-dwelling Chinese elders with low socioeconomic status. Methods: A cross-sectional survey was used to collect data from 339 poor community-dwelling Chinese elders aged 60 and above. Results: The results showed that meaning in life and social network were significantly related to quality of life. Moreover, social network was a mediator to the relationship between functional disability and quality of life, and meaning in life was a partial mediator to the relationship between social network and quality of life. Conclusion: Workshops should be organized by the elderly service providers for Chinese elders facing deterioration in health and activity levels to learn to live intentionally and purposefully. A social network among elders should also be fostered in the community. PMID:29780856

Using CBPR for Health Research in American Muslim Mosque Communities: Lessons Learned

PubMed Central

Killawi, Amal; Heisler, Michele; Hamid, Hamada; Padela, Aasim I.

2015-01-01

Background American Muslims are understudied in health research, and there are few studies documenting community-based participatory research (CBPR) efforts among American Muslim mosque communities. Objectives We highlight lessons learned from a CBPR partnership that explored the health care beliefs, behaviors, and challenges of American Muslims. Methods We established a collaboration between the University of Michigan and four Muslim-focused community organizations in Michigan. Our collaborative team designed and implemented a two-phase study involving interviews with community stakeholders and focus groups and surveys with mosque congregants. Lessons Learned Although we were successful in meeting our research goals, maintaining community partner involvement and sustaining the project partnership proved challenging. Conclusions CBPR initiatives within mosque communities have the potential for improving community health. Our experience suggests that successful research partnerships with American Muslims will utilize social networks and cultural insiders, culturally adapt research methods, and develop a research platform within the organizational infrastructures of the American Muslim community. PMID:25981426

Experiencing community psychology through community-based learning class projects: reflections from an American University in the Middle East.

PubMed

Amer, Mona M; Mohamed, Salma N; Ganzon, Vincent

2013-01-01

Many introductory community psychology courses do not incorporate community-based learning (CBL), and when they do, it is most often in the form of individualized volunteer hours. We present an alternative model for CBL in which the entire class collaborates on an experiential project that promotes community action. We believe that such an approach better embodies the values and methods of the discipline and has a more powerful impact on the students and stakeholders. It may be especially effective in developing countries that do not have an established network of service infrastructures; in such nations the onus is on the teachers and learners of community psychology to contribute to transformative change. In this article practical guidelines are provided by the instructor regarding how to structure and implement this CBL model. Additionally, two students describe how the CBL experience solidified their learning of course concepts and significantly impacted them personally.

Building Ocean Learning Communities: A COSEE Science and Education Partnership

NASA Astrophysics Data System (ADS)

Robigou, V.; Bullerdick, S.; Anderson, A.

2007-12-01

The core mission of the Centers for Ocean Sciences Education Excellence (COSEE) is to promote partnerships between research scientists and educators through a national network of regional and thematic centers. In addition, the COSEEs also disseminate best practices in ocean sciences education, and promote ocean sciences as a charismatic interdisciplinary vehicle for creating a more scientifically literate workforce and citizenry. Although each center is mainly funded through a peer-reviewed grant process by the National Science Foundation (NSF), the centers form a national network that fosters collaborative efforts among the centers to design and implement initiatives for the benefit of the entire network and beyond. Among these initiatives the COSEE network has contributed to the definition, promotion, and dissemination of Ocean Literacy in formal and informal learning settings. Relevant to all research scientists, an Education and Public Outreach guide for scientists is now available at www.tos.org. This guide highlights strategies for engaging scientists in Ocean Sciences Education that are often applicable in other sciences. To address the challenging issue of ocean sciences education informed by scientific research, the COSEE approach supports centers that are partnerships between research institutions, formal and informal education venues, advocacy groups, industry, and others. The COSEE Ocean Learning Communities, is a partnership between the University of Washington College of Ocean and Fishery Sciences and College of Education, the Seattle Aquarium, and a not-for-profit educational organization. The main focus of the center is to foster and create Learning Communities that cultivate contributing, and ocean sciences-literate citizens aware of the ocean's impact on daily life. The center is currently working with volunteer groups around the Northwest region that are actively involved in projects in the marine environment and to empower these diverse groups including research scientists, formal and informal educators, business representatives, and non-profit groups to identify ocean-related problems, and develop solutions to share with their own communities. COSEE OLC practices and studies the skills of developing these collaborations.

Social learning in the Anthropocene: Novel challenges, shadow networks, and ethical practices.

PubMed

Schmidt, Jeremy J

2017-05-15

The Anthropocene presents novel challenges for environmental management. This paper considers the challenges that the Anthropocene poses for social learning techniques in adaptive management. It situates these challenges with respect to how anthropogenic forcing on the Earth system affects the conditions required for: (1) The cooperative exercises of social learning; (2) The techniques used for assessing the fit of institutions to social-ecological systems; and, (3) The strategies employed for identifying management targets that are transformed by human action. In view of these challenges, the paper then examines how the practices of shadow networks may provide paths for incorporating a broader, more robust suite of social learning practices in the Anthropocene. The paper emphasizes how novel challenges in the Anthropocene demand increased attention to ethical practices, particularly those that establish center-periphery relationships between social learning communities and shadow networks. Copyright © 2017 Elsevier Ltd. All rights reserved.

Assessing the Linguistic Productivity of Unsupervised Deep Neural Networks

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

Phillips, Lawrence A.; Hodas, Nathan O.

Increasingly, cognitive scientists have demonstrated interest in applying tools from deep learning. One use for deep learning is in language acquisition where it is useful to know if a linguistic phenomenon can be learned through domain-general means. To assess whether unsupervised deep learning is appropriate, we first pose a smaller question: Can unsupervised neural networks apply linguistic rules productively, using them in novel situations. We draw from the literature on determiner/noun productivity by training an unsupervised, autoencoder network measuring its ability to combine nouns with determiners. Our simple autoencoder creates combinations it has not previously encountered, displaying a degree ofmore » overlap similar to actual children. While this preliminary work does not provide conclusive evidence for productivity, it warrants further investigation with more complex models. Further, this work helps lay the foundations for future collaboration between the deep learning and cognitive science communities.« less

Audience in the Service of Learning: How Kids Negotiate Attention in an Online Community of Interactive Media Designers

ERIC Educational Resources Information Center

Brennan, Karen

2016-01-01

Audience can serve as powerful motivation in learning--and network technologies have the potential to greatly broaden audience for the processes and products of learning. But these new opportunities for audience are accompanied by new challenges. In this paper, we examine and problematize the notion and role of audience in learning by presenting a…

Legal Issues of Intellectual Property Rights and Licensing for E-Learning Content in the United Kingdom

ERIC Educational Resources Information Center

Mehrpouyan, Azadeh; Razavi, Ghassem Khadem

2014-01-01

This article focuses on the legal rules of intellectual property rights (IPR) in networked e-learning. Its purpose is to act as an awareness-raising device about IPR, especially in the public-sector e-learning community in the UK, by describing the relevant aspects of IPR, providing legal guidance on IPR in e-learning, especially on the use of…

Exploring the Role of Distributed Learning in Distance Education at Allama Iqbal Open University: Academic Challenges at Postgraduate Level

ERIC Educational Resources Information Center

Bukhsh, Qadir; Chaudhary, Muhammad Ajmal

2015-01-01

Distributed learning is derived from the concept of distributed resources. Different institutions around the globe connected through network and the learners are diverse, located in the different cultures and communities. Distributed learning provides global standards of quality to all learners through synchronous and asynchronous communications…

Time, Space and Structure in an E-Learning and E-Mentoring Project

ERIC Educational Resources Information Center

Loureiro-Koechlin, Cecilia; Allan, Barbara

2010-01-01

This study focuses on a project, "EMPATHY Net-Works," which developed a learning community as a means of encouraging women to progress into employment and management positions in the logistics and supply chain industries (LaSCI). Learning activities were organised in the form of a taught module containing face-to-face and online elements and…

Cognitive Presence in Virtual Collaborative Learning: Assessing and Improving Critical Thinking in Online Discussion Forums

ERIC Educational Resources Information Center

Beckmann, Jennifer; Weber, Peter

2016-01-01

Purpose: The purpose of this study is to introduce a virtual collaborative learning setting called "Net Economy", which we established as part of an international learning network of currently six universities, and present our approach to continuously improve the course in each cycle. Design/ Methodology/Approach: Using the community of…

Cognitive Presence in Virtual Collaborative Learning: Assessing and Improving Critical Thinking in Online Discussion Forums

ERIC Educational Resources Information Center

Beckmann, Jennifer; Weber, Peter

2015-01-01

The paper introduces a virtual collaborative learning setting called "Net Economy," which we established as part of an international learning network of currently seven universities. Using the Community of Inquiry framework as guidance and Canonical Action Research (CAR) as the chosen research design, the discussion forum of the online…

Experiences of Two Multidisciplinary Team Members of Systemic Consultations in a Community Learning Disability Service

ERIC Educational Resources Information Center

Johnson, Clair; Viljoen, Nina

2017-01-01

Background: Systemic approaches can be useful in working with people with learning disabilities and their network. The evidence base for these approaches within the field of learning disabilities, however, is currently limited. Materials and Methods: This article presents part of a service evaluation of systemic consultations in a Community…

Building the Future of Learning

ERIC Educational Resources Information Center

Watson, Les

2007-01-01

Could it be that in our excitement about e-learning we forgot about buildings? With the advent of the personal computer and ubiquitous networks were we enticed into thinking that they would suffice and learning would follow removing the need for places and communities for learners? We now seem to have woken up, however, as there is an enormous…

Developing Social Capital: The Effect of an Academic Service-Learning Component on the Civic Attitudes of College Students

ERIC Educational Resources Information Center

Duplantis, Joshua Paul

2013-01-01

Service-learning courses are credit-bearing educational experiences that deepen course content, meet identified community needs and use reflection to help students connect their service with the learning. These experiences give students an increased level of civic attitude and increased networks, which increases social and human capital. Research…

Connectivism: 21st Century's New Learning Theory

ERIC Educational Resources Information Center

Kropf, Dorothy C.

2013-01-01

Transformed into a large collaborative learning environment, the Internet is comprised of information reservoirs namely, (a) online classrooms, (b) social networks, and (c) virtual reality or simulated communities, to expeditiously create, reproduce, share, and deliver information into the hands of educators and students. Most importantly, the…

Using Communities of Practice to Foster Faculty Development in Higher Education

ERIC Educational Resources Information Center

Teeter, Christopher; Fenton, Nancy; Nicholson, Karen; Flynn, Terry; Kim, Joseph; McKay, Muriel; O'Shaughnessy, Bridget; Vajoczki, Sue

2011-01-01

Communities of practice are becoming more widespread within higher education, yet little research has explored how these social learning networks can enhance faculty development. The focus of this paper is to describe the first-year experience of a community of practice initiative at McMaster University that was designed to engage groups of…

Community based monitoring: engaging and empowering Alberta ranchers

Treesearch

Michael S. Quinn; Jennifer E. Dubois

2005-01-01

Community based monitoring (CBM), a form of citizen science, is presented as a potential contributor to ecosystem management and sustainable development. A conceptual model for CBM and lessons learned from a Canadian national pilot program, the Canadian Community Monitoring Network, are summarized along with a description of the European university-based “science shop...

Electronic Networks: Crossing Boundaries/Creating Communities.

ERIC Educational Resources Information Center

Howard, Tharon, Ed.; Benson, Chris, Ed.; Gooch, Rocky; Goswami, Dixie

Written by practicing teachers about actual instructional computing projects, this book provides information teachers need to integrate instructional technologies into their classrooms. The book is divided into three parts. Part 1, "New Tools for the Classroom: An Introduction to Networked Learning," includes chapters: (1) "Getting Started in a…

Frameworks for Understanding the Nature of Interactions, Networking, and Community in a Social Networking Site for Academic Practice

ERIC Educational Resources Information Center

Conole, Grainne; Galley, Rebecca; Culver, Juliette

2011-01-01

This paper describes a new social networking site, Cloudworks, which has been developed to enable discussion and sharing of learning and teaching ideas/designs and to promote reflective academic practice. The site aims to foster new forms of social and participatory practices (peer critiquing, sharing, user-generated content, aggregation, and…

Moving from theory to practice: A participatory social network mapping approach to address unmet need for family planning in Benin.

PubMed

Igras, Susan; Diakité, Mariam; Lundgren, Rebecka

2017-07-01

In West Africa, social factors influence whether couples with unmet need for family planning act on birth-spacing desires. Tékponon Jikuagou is testing a social network-based intervention to reduce social barriers by diffusing new ideas. Individuals and groups judged socially influential by their communities provide entrée to networks. A participatory social network mapping methodology was designed to identify these diffusion actors. Analysis of monitoring data, in-depth interviews, and evaluation reports assessed the methodology's acceptability to communities and staff and whether it produced valid, reliable data to identify influential individuals and groups who diffuse new ideas through their networks. Results indicated the methodology's acceptability. Communities were actively and equitably engaged. Staff appreciated its ability to yield timely, actionable information. The mapping methodology also provided valid and reliable information by enabling communities to identify highly connected and influential network actors. Consistent with social network theory, this methodology resulted in the selection of informal groups and individuals in both informal and formal positions. In-depth interview data suggest these actors were diffusing new ideas, further confirming their influence/connectivity. The participatory methodology generated insider knowledge of who has social influence, challenging commonly held assumptions. Collecting and displaying information fostered staff and community learning, laying groundwork for social change.

Active Learning in Engineering Education: a (re)introduction

NASA Astrophysics Data System (ADS)

Lima, Rui M.; Andersson, Pernille Hammar; Saalman, Elisabeth

2017-01-01

The informal network 'Active Learning in Engineering Education' (ALE) has been promoting Active Learning since 2001. ALE creates opportunity for practitioners and researchers of engineering education to collaboratively learn how to foster learning of engineering students. The activities in ALE are centred on the vision that learners construct their knowledge based on meaningful activities and knowledge. In 2014, the steering committee of the ALE network reinforced the need to discuss the meaning of Active Learning and that was the base for this proposal for a special issue. More than 40 submissions were reviewed by the European Journal of Engineering Education community and this theme issue ended up with eight contributions, which are different both in their research and Active Learning approaches. These different Active Learning approaches are aligned with the different approaches that can be increasingly found in indexed journals.

Social networking for nurse education: Possibilities, perils and pitfalls.

PubMed

Green, Janet; Wyllie, Aileen; Jackson, Debra

2014-01-01

Abstract In this paper, we consider the potential and implications of using social networking sites such as Facebook® in nurse education. The concept of social networking and the use of Facebook will be explored, as will the theoretical constructs specific to the use of online technology and Web 2.0 tools. Theories around Communities of Inquiry (Garrison, Anderson, & Archer, 2000), Communities of Practice (Wenger, 1998), Activity Theory (Daniels, Cole, & Wertsch, 2007) and Actor-Network theory (Latour, 1997) will be briefly explored, as will the work of Vygotsky (1978), as applies to the social aspects of learning. Boundary issues, such as if and how faculty and students should or could be connected via social networking sites will also be explored.

A longitudinal social network analysis of the editorial boards of medical informatics and bioinformatics journals.

PubMed

Malin, Bradley; Carley, Kathleen

2007-01-01

The goal of this research is to learn how the editorial staffs of bioinformatics and medical informatics journals provide support for cross-community exposure. Models such as co-citation and co-author analysis measure the relationships between researchers; but they do not capture how environments that support knowledge transfer across communities are organized. In this paper, we propose a social network analysis model to study how editorial boards integrate researchers from disparate communities. We evaluate our model by building relational networks based on the editorial boards of approximately 40 journals that serve as research outlets in medical informatics and bioinformatics. We track the evolution of editorial relationships through a longitudinal investigation over the years 2000 through 2005. Our findings suggest that there are research journals that support the collocation of editorial board members from the bioinformatics and medical informatics communities. Network centrality metrics indicate that editorial board members are located in the intersection of the communities and that the number of individuals in the intersection is growing with time. Social network analysis methods provide insight into the relationships between the medical informatics and bioinformatics communities. The number of editorial board members facilitating the publication intersection of the communities has grown, but the intersection remains dependent on a small group of individuals and fragile.

Developing an inter-organizational community-based health network: an Australian investigation.

PubMed

Short, Alison; Phillips, Rebecca; Nugus, Peter; Dugdale, Paul; Greenfield, David

2015-12-01

Networks in health care typically involve services delivered by a defined set of organizations. However, networked associations between the healthcare system and consumers or consumer organizations tend to be open, fragmented and are fraught with difficulties. Understanding the role and activities of consumers and consumer groups in a formally initiated inter-organizational health network, and the impacts of the network, is a timely endeavour. This study addresses this aim in three ways. First, the Unbounded Network Inter-organizational Collaborative Impact Model, a purpose-designed framework developed from existing literature, is used to investigate the process and products of inter-organizational network development. Second, the impact of a network artefact is explored. Third, the lessons learned in inter-organizational network development are considered. Data collection methods were: 16 h of ethnographic observation; 10 h of document analysis; six interviews with key informants and a survey (n = 60). Findings suggested that in developing the network, members used common aims, inter-professional collaboration, the power and trust engendered by their participation, and their leadership and management structures in a positive manner. These elements and activities underpinned the inter-organizational network to collaboratively produce the Health Expo network artefact. This event brought together healthcare providers, community groups and consumers to share information. The Health Expo demonstrated and reinforced inter-organizational working and community outreach, providing consumers with community-based information and linkages. Support and resources need to be offered for developing community inter-organizational networks, thereby building consumer capacity for self-management in the community. © The Author (2014). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Mobilizing women for minority health and social justice in california.

PubMed

Littlefield, Diane; Robison, Connie Chan; Engelbrecht, Luz; González, Belma; Hutcheson, Heather

2002-04-01

Women's Health Leadership is building the leadership capacity of diverse community leaders in California committed to promoting health and social justice in their communities. This program provides opportunities for cross-cultural exchanges of ideas, resources, and expertise. Graduates continue to receive technical support and to engage in peer learning via an alumnae network. The network is dedicated to advancing social justice issues and to addressing health disparities. It is also a way to mobilize trained grassroots leaders to provide expertise to influence policy decisions, to provide technical support and resources to local communities, and to foster new partnerships across the state.

Community, Collective or Movement? Evaluating Theoretical Perspectives on Network Building

NASA Astrophysics Data System (ADS)

Spitzer, W.

2015-12-01

Since 2007, the New England Aquarium has led a national effort to increase the capacity of informal science venues to effectively communicate about climate change. We are now leading the NSF-funded National Network for Ocean and Climate Change Interpretation (NNOCCI), partnering with the Association of Zoos and Aquariums, FrameWorks Institute, Woods Hole Oceanographic Institution, Monterey Bay Aquarium, and National Aquarium, with evaluation conducted by the New Knowledge Organization, Pennsylvania State University, and Ohio State University. NNOCCI enables teams of informal science interpreters across the country to serve as "communication strategists" - beyond merely conveying information they can influence public perceptions, given their high level of commitment, knowledge, public trust, social networks, and visitor contact. We provide in-depth training as well as an alumni network for ongoing learning, implementation support, leadership development, and coalition building. Our goals are to achieve a systemic national impact, embed our work within multiple ongoing regional and national climate change education networks, and leave an enduring legacy. What is the most useful theoretical model for conceptualizing the work of the NNOCCI community? This presentation will examine the pros and cons of three perspectives -- community of practice, collective impact, and social movements. The community of practice approach emphasizes use of common tools, support for practice, social learning, and organic development of leadership. A collective impact model focuses on defining common outcomes, aligning activities toward a common goal, structured collaboration. A social movement emphasizes building group identity and creating a sense of group efficacy. This presentation will address how these models compare in terms of their utility in program planning and evaluation, their fit with the unique characteristics of the NNOCCI community, and their relevance to our program goals.

The Integration of Research, Teaching, and Learning: Preparation of the Future STEM Faculty

NASA Astrophysics Data System (ADS)

Jariwala, Manher

Graduate students at research universities shape the future of STEM undergraduate education in the United States. These future faculty flow into the STEM faculties of several thousand research universities, comprehensive universities, liberal arts colleges, and community and tribal colleges. The Center for the Integration of Research, Teaching, and Learning (CIRTL) uses graduate education as the leverage point to develop STEM faculty with the capability and commitment to implement and improve effective teaching and learning practices. CIRTL has developed, implemented, and evaluated successful strategies based on three core ideas: teaching-as-research, learning communities, and learning-through-diversity. A decade of research demonstrates that STEM future faculty participating in CIRTL learning communities understand, use, and advance high-impact teaching practices. Today the CIRTL Network includes 43 research universities. Ultimately, CIRTL seeks a national STEM faculty who enable all students to learn effectively and achieve STEM literacy, whose teaching enhances recruitment into STEM careers, and whose leadership ensures continued advancement of STEM education.

Aligning physical learning spaces with the curriculum: AMEE Guide No. 107.

PubMed

Nordquist, Jonas; Sundberg, Kristina; Laing, Andrew

2016-08-01

This Guide explores emerging issues on the alignment of learning spaces with the changing curriculum in medical education. As technology and new teaching methods have altered the nature of learning in medical education, it is necessary to re-think how physical learning spaces are aligned with the curriculum. The better alignment of learning spaces with the curriculum depends on more directly engaged leadership from faculty and the community of medical education for briefing the requirements for the design of all kinds of learning spaces. However, there is a lack of precedent and well-established processes as to how new kinds of learning spaces should be programmed. Such programmes are essential aspects of optimizing the intended experience of the curriculum. Faculty and the learning community need better tools and instruments to support their leadership role in briefing and programming. A Guide to critical concepts for exploring the alignment of curriculum and learning spaces is provided. The idea of a networked learning landscape is introduced as a way of assessing and evaluating the alignment of physical spaces to the emerging curriculum. The concept is used to explore how technology has widened the range of spaces and places in which learning happens as well as enabling new styles of learning. The networked learning landscaped is explored through four different scales within which learning is accommodated: the classroom, the building, the campus, and the city. High-level guidance on the process of briefing for the networked learning landscape is provided, to take into account the wider scale of learning spaces and the impact of technology. Key to a successful measurement process is argued to be the involvement of relevant academic stakeholders who can identify the strategic direction and purpose for the design of the learning environments in relation to the emerging demands of the curriculum.

Large-Scale Networked Virtual Environments: Architecture and Applications

ERIC Educational Resources Information Center

Lamotte, Wim; Quax, Peter; Flerackers, Eddy

2008-01-01

Purpose: Scalability is an important research topic in the context of networked virtual environments (NVEs). This paper aims to describe the ALVIC (Architecture for Large-scale Virtual Interactive Communities) approach to NVE scalability. Design/methodology/approach: The setup and results from two case studies are shown: a 3-D learning environment…

L2 Learners' Informal Online Interactions in Social Network Communities

ERIC Educational Resources Information Center

Malerba, Maria-Luisa

2012-01-01

This paper reports on a study on the use of social network sites (SNSs) designed for L2 learning, such as "Livemocha" and "Busuu", where learners autonomously seek opportunities for authentic interaction in spontaneous ways. The study consists in a longitudinal multiple case study approach to investigate learners' informal…

Constructs for Web 2.0 Learning Environments: A Theatrical Metaphor

ERIC Educational Resources Information Center

Tu, Chih-Hsiung; Blocher, Michael; Roberts, Gayle

2008-01-01

Web 2.0 technologies empower learners to create personalized and community-based collaborative environments. Social networking technology affords learners to weave their human networks through active connections to understand what we know and we want to know. Social acts that bring out identities, awareness, relationships, connections, and…

Recognizing Student Leadership: Schools and Networks as Sites of Opportunity

ERIC Educational Resources Information Center

McGregor, Jane

2007-01-01

Against the wider background of increasing interest in pupil voice, this article gives examples of the student involvement activity in the largest of the National College of School Leadership (NCSL) development and enquiry initiatives: the Networked Learning Communities project. In programme-level research, student voice and participation were…

Creating a Community of Practice: Lessons Learned from the Center for Astronomy Education (Invited)

NASA Astrophysics Data System (ADS)

Brissenden, G.

2009-12-01

The Center for Astronomy Education (CAE) is devoted to improving teaching and learning in Astro 101. To accomplish this, a vital part of CAE is our broader community of practice which includes over 1000 instructors, graduate and undergraduate students, and postdocs. It is this greater community of practice that supports each other, helps, and learns from each other beyond what would be possible without it. As our community of practice has grown, we at CAE have learned many lessons about how different facets of CAE can best be used to promote and support our community both as a whole and for individual members. We will discuss the various facets of CAE, such as our online discussion group Astrolrner@CAE (http://astronomy101.jpl.nasa.gov/discussion) and its Guest Moderator program, our CAE Regional Teaching Exchange Coordinator program, our CAE Workshop Presenter Apprenticeship Training program, our online This Month’s Teaching Strategy, monthly newsletters, and various types of socializing and networking sessions we hold at national meetings. But more importantly, we will discuss the lessons we’ve learned about what does and does not work in building community within each of these facets.

The Place of Social Learning and Social Movement in Transformative Learning: A Case Study of Sustainability Schools in Uganda

ERIC Educational Resources Information Center

Westoby, Peter; Lyons, Kristen

2017-01-01

This article analyses the sustainability school (SS) program of the National Association of Professional Environmentalists (NAPE), Uganda. The focus is on how the social network, enabled by the SS program, fosters social and transformative learning. The significance of this approach to community-based education for social change, including in the…

Praxis-based research networks: An emerging paradigm for research that is rigorous, relevant, and inclusive.

PubMed

Werner, James J; Stange, Kurt C

2014-01-01

Practice-based research networks (PBRNs) have developed a grounded approach to conducting practice-relevant and translational research in community practice settings. Seismic shifts in the health care landscape are shaping PBRNs that work across organizational and institutional margins to address complex problems. Praxis-based research networks combine PBRN knowledge generation with multistakeholder learning, experimentation, and application of practical knowledge. The catalytic processes in praxis-based research networks are cycles of action and reflection based on experience, observation, conceptualization, and experimentation by network members and partners. To facilitate co-learning and solution-building, these networks have a flexible architecture that allows pragmatic inclusion of stakeholders based on the demands of the problem and the needs of the network. Praxis-based research networks represent an evolving trend that combines the core values of PBRNs with new opportunities for relevance, rigor, and broad participation. © Copyright 2014 by the American Board of Family Medicine.

The Significance of Kinship for Medical Education: Reflections on the Use of a Bespoke Social Network to Support Learners’ Professional Identities

PubMed Central

2016-01-01

Background Social media can support and sustain communities much better than previous generations of learning technologies, where institutional barriers undermined any initiatives for embedding formal and informal learning. Some of the many types of social media have already had an impact on student learning, based on empirical evidence. One of these, social networking, has the potential to support communication in formal and informal spaces. Objective In this paper we report on the evaluation of an institutional social network—King's Social Harmonisation Project (KINSHIP)—established to foster an improved sense of community, enhance communication, and serve as a space to model digital professionalism for students at King’s College London, United Kingdom. Methods Our evaluation focused on a study that examined students’ needs and perceptions with regard to the provision of a cross-university platform. Data were collected from students, including those in the field of health and social care, in order to recommend a practical way forward to address current needs in this area. Results The findings indicate that the majority of the respondents were positive about using a social networking platform to develop their professional voice and profiles. Results suggest that timely promotion of the platform, emphasis on interface and learning design, and a clear identity are required in order to gain acceptance as the institutional social networking site. Conclusions Empirical findings in this study project an advantage of an institutional social network such a KINSHIP over other social networks (eg, Facebook) because access is limited to staff and students and the site is mainly being used for academic purposes. PMID:27731848

Transformative Pedagogy for Social Capital

ERIC Educational Resources Information Center

Willis, Peter

2007-01-01

This paper explores ways in which pedagogy for an elaborated form of transformative learning can be a useful catalyst for the development of social capital in community and workplace groups and networks. I begin with an example and then explore ideas of learning challenges embedded in building and maintaining social capital. I consider the…

Collaboration Creation: Lessons Learned from Establishing an Online Professional Learning Community

ERIC Educational Resources Information Center

Gray, Colin; Smyth, Keith

2012-01-01

This paper describes the design, implementation, evaluation and further refinement of an ELGG-based social networking site to support professional development activity, project group and special interest groups, and the discussion and sharing of educational experiences and resources across Edinburgh Napier University in the United Kingdom.…

The development of a network for community-based obesity prevention: the CO-OPS Collaboration

PubMed Central

2011-01-01

Background Community-based interventions are a promising approach and an important component of a comprehensive response to obesity. In this paper we describe the Collaboration of COmmunity-based Obesity Prevention Sites (CO-OPS Collaboration) in Australia as an example of a collaborative network to enhance the quality and quantity of obesity prevention action at the community level. The core aims of the CO-OPS Collaboration are to: identify and analyse the lessons learned from a range of community-based initiatives aimed at tackling obesity, and; to identify the elements that make community-based obesity prevention initiatives successful and share the knowledge gained with other communities. Methods Key activities of the collaboration to date have included the development of a set of Best Practice Principles and knowledge translation and exchange activities to promote the application (or use) of evidence, evaluation and analysis in practice. Results The establishment of the CO-OPS Collaboration is a significant step toward strengthening action in this area, by bringing together research, practice and policy expertise to promote best practice, high quality evaluation and knowledge translation and exchange. Future development of the network should include facilitation of further evidence generation and translation drawing from process, impact and outcome evaluation of existing community-based interventions. Conclusions The lessons presented in this paper may help other networks like CO-OPS as they emerge around the globe. It is important that networks integrate with each other and share the experience of creating these networks. PMID:21349185

The Relative Influence of Formal Learning Opportunities versus Indicators of Professional Community on Changes in Science Teaching in Urban Schools

ERIC Educational Resources Information Center

McGee, Steven

2016-01-01

Previous research has shown that professional communities have the potential to be a powerful lever for continuous improvement in school settings. This research seeks to extend previous research by investigating the indicators of professional community that influence science teaching practice. This study took place in a network of urban…

Climate Voices: Bridging Scientist Citizens and Local Communities across the United States

NASA Astrophysics Data System (ADS)

Wegner, K.; Ristvey, J. D., Jr.

2016-12-01

Based out of the University Corporation for Atmospheric Research (UCAR), the Climate Voices Science Speakers Network (climatevoices.org) has more than 400 participants across the United States that volunteer their time as scientist citizens in their local communities. Climate Voices experts engage in nonpartisan conversations about the local impacts of climate change with groups such as Rotary clubs, collaborate with faith-based groups on climate action initiatives, and disseminate their research findings to K-12 teachers and classrooms through webinars. To support their participants, Climate Voices develops partnerships with networks of community groups, provides trainings on how to engage these communities, and actively seeks community feedback. In this presentation, we will share case studies of science-community collaborations, including meta-analyses of collaborations and lessons learned.

Multilabel user classification using the community structure of online networks

PubMed Central

Papadopoulos, Symeon; Kompatsiaris, Yiannis

2017-01-01

We study the problem of semi-supervised, multi-label user classification of networked data in the online social platform setting. We propose a framework that combines unsupervised community extraction and supervised, community-based feature weighting before training a classifier. We introduce Approximate Regularized Commute-Time Embedding (ARCTE), an algorithm that projects the users of a social graph onto a latent space, but instead of packing the global structure into a matrix of predefined rank, as many spectral and neural representation learning methods do, it extracts local communities for all users in the graph in order to learn a sparse embedding. To this end, we employ an improvement of personalized PageRank algorithms for searching locally in each user’s graph structure. Then, we perform supervised community feature weighting in order to boost the importance of highly predictive communities. We assess our method performance on the problem of user classification by performing an extensive comparative study among various recent methods based on graph embeddings. The comparison shows that ARCTE significantly outperforms the competition in almost all cases, achieving up to 35% relative improvement compared to the second best competing method in terms of F1-score. PMID:28278242

Multilabel user classification using the community structure of online networks.

PubMed

Rizos, Georgios; Papadopoulos, Symeon; Kompatsiaris, Yiannis

2017-01-01

We study the problem of semi-supervised, multi-label user classification of networked data in the online social platform setting. We propose a framework that combines unsupervised community extraction and supervised, community-based feature weighting before training a classifier. We introduce Approximate Regularized Commute-Time Embedding (ARCTE), an algorithm that projects the users of a social graph onto a latent space, but instead of packing the global structure into a matrix of predefined rank, as many spectral and neural representation learning methods do, it extracts local communities for all users in the graph in order to learn a sparse embedding. To this end, we employ an improvement of personalized PageRank algorithms for searching locally in each user's graph structure. Then, we perform supervised community feature weighting in order to boost the importance of highly predictive communities. We assess our method performance on the problem of user classification by performing an extensive comparative study among various recent methods based on graph embeddings. The comparison shows that ARCTE significantly outperforms the competition in almost all cases, achieving up to 35% relative improvement compared to the second best competing method in terms of F1-score.

Being in Community: A Food Security Themed Approach to Public Scholarship

ERIC Educational Resources Information Center

Harrison, Barbara; Nelson, Connie; Stroink, Mirella

2013-01-01

For six years the Food Security Research Network at Lakehead University, Canada, has been engaged in an interdisciplinary theme-based service-learning initiative focusing on food security. Informed by complexity theory, the contextual fluidity partnership model brings community partners, students, and faculty into a nexus through which new…

Realities of Rural School Reform.

ERIC Educational Resources Information Center

Seal, Kenna R.; Harmon, Hobart L.

1995-01-01

Schools in isolated rural areas like Braxton County, West Virginia, can emerge as learning communities and telecommuting villages. Future school mergers will be less common than consolidation of programs and services to improve access for students, their families, and the community. Technology will link schools with a global information network.…

Network and computing infrastructure for scientific applications in Georgia

NASA Astrophysics Data System (ADS)

Kvatadze, R.; Modebadze, Z.

2016-09-01

Status of network and computing infrastructure and available services for research and education community of Georgia are presented. Research and Educational Networking Association - GRENA provides the following network services: Internet connectivity, network services, cyber security, technical support, etc. Computing resources used by the research teams are located at GRENA and at major state universities. GE-01-GRENA site is included in European Grid infrastructure. Paper also contains information about programs of Learning Center and research and development projects in which GRENA is participating.

Ties That Bind: The Practice of Social Networks. Number Two in a Series of Reports on Social Networks from The Annie E. Casey Foundation

ERIC Educational Resources Information Center

Bailey, Terri J.

2006-01-01

This report documents the Annie E. Casey Foundation's effort to learn from families, communities and organizations around the country about their experiences with social network strategies and approaches. Using the voices and experiences of the families and organizations visited, the report summarizes findings from these visits and helps lay the…

A Stochastic Model for Detecting Overlapping and Hierarchical Community Structure

PubMed Central

Cao, Xiaochun; Wang, Xiao; Jin, Di; Guo, Xiaojie; Tang, Xianchao

2015-01-01

Community detection is a fundamental problem in the analysis of complex networks. Recently, many researchers have concentrated on the detection of overlapping communities, where a vertex may belong to more than one community. However, most current methods require the number (or the size) of the communities as a priori information, which is usually unavailable in real-world networks. Thus, a practical algorithm should not only find the overlapping community structure, but also automatically determine the number of communities. Furthermore, it is preferable if this method is able to reveal the hierarchical structure of networks as well. In this work, we firstly propose a generative model that employs a nonnegative matrix factorization (NMF) formulization with a l2,1 norm regularization term, balanced by a resolution parameter. The NMF has the nature that provides overlapping community structure by assigning soft membership variables to each vertex; the l2,1 regularization term is a technique of group sparsity which can automatically determine the number of communities by penalizing too many nonempty communities; and hence the resolution parameter enables us to explore the hierarchical structure of networks. Thereafter, we derive the multiplicative update rule to learn the model parameters, and offer the proof of its correctness. Finally, we test our approach on a variety of synthetic and real-world networks, and compare it with some state-of-the-art algorithms. The results validate the superior performance of our new method. PMID:25822148

Promotores' perspectives on a male-to-male peer network.

PubMed

Macia, Laura; Ruiz, Hector Camilo; Boyzo, Roberto; Documet, Patricia Isabel

2016-06-01

Little documentation exists about male community health workers (promotores) networks. The experiences of promotores can provide input on how to attract, train, supervise and maintain male promotores in CHW programs. We present the experience and perspectives of promotores who participated in a male promotores network assisting Latino immigrant men in an emerging Latino community. All promotores in this community-based participatory study received payment for work 10 hours a week. We conducted qualitative interviews with all promotores starting the program, after 5 and 13 months. Three main themes emerged: 1) Men decided to become promotores to help others, yet appreciated being paid. 2) Promotores' learning experience was ongoing and was facilitated by a cooperative dynamic among them. Learning how to listen was crucial for promotores 3) Promotores experienced difficulty separating their personal lives form their role as a promotor We conclude that paying promotores facilitates the fulfillment of their drive to serve the community. Enhancing listening abilities needs to be part of promotores' training curricula. Finally, it is advisable to build a project with many opportunities for promotores and project staff to share professional and non-professional time and discuss their challenges. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Bringing Together Community Health Centers, Information Technology and Data to Support a Patient-Centered Medical Village from the OCHIN community of solutions

PubMed Central

DeVoe, Jennifer E.; Sears, Abigail

2013-01-01

Creating integrated, comprehensive care practices requires access to data and informatics expertise. Information technology (IT) resources are not readily available to individual practices. One model of shared IT resources and learning is a “patient-centered medical village.” We describe the OCHIN Community Health Information Network as an example of this model where community practices have come together collectively to form an organization which leverages shared IT expertise, resources, and data, providing members with the means to fully capitalize on new technologies that support improved care. This collaborative facilitates the identification of “problem-sheds” through surveillance of network-wide data, enables shared learning regarding best practices, and provides a “community laboratory” for practice-based research. As an example of a Community of Solution, OCHIN utilizes health IT and data-sharing innovations to enhance partnerships between public health leaders, community health center clinicians, informatics experts, and policy makers. OCHIN community partners benefit from the shared IT resource (e.g. a linked electronic health record (EHR), centralized data warehouse, informatics and improvement expertise). This patient-centered medical village provides (1) the collective mechanism to build community tailored IT solutions, (2) “neighbors” to share data and improvement strategies, and (3) infrastructure to support EHR-based innovations across communities, using experimental approaches. PMID:23657695

Non-School Hours: Mobilizing School and Community Resources. Hearing on Examining Certain Initiatives To Mobilize School and Community Resources To Provide Quality Programs To Address the Needs of Students during Non-School Hours, Including the Administration's Proposed Expansion of the 21st Century Community Learning Centers Program Designed To Provide Funds to School-Community Partnerships To Start Up or Expand After-School, Extended Learning Programs for Schoolage Children of the Committee on Labor and Human Resources, United States Senate, One Hundred Fifth Congress, Second Session.

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. Senate Committee on Labor and Human Resources.

This hearing explored ways in which to meet children's and families' needs during nonschool hours. It examined the nature of those needs, the barriers that various segments of the community face, how the Federal Government can help build coordinated school and community networks, and how to make nonschool hours safe for children. Testimony was…

What can ecosystems learn? Expanding evolutionary ecology with learning theory.

PubMed

Power, Daniel A; Watson, Richard A; Szathmáry, Eörs; Mills, Rob; Powers, Simon T; Doncaster, C Patrick; Czapp, Błażej

2015-12-08

The structure and organisation of ecological interactions within an ecosystem is modified by the evolution and coevolution of the individual species it contains. Understanding how historical conditions have shaped this architecture is vital for understanding system responses to change at scales from the microbial upwards. However, in the absence of a group selection process, the collective behaviours and ecosystem functions exhibited by the whole community cannot be organised or adapted in a Darwinian sense. A long-standing open question thus persists: Are there alternative organising principles that enable us to understand and predict how the coevolution of the component species creates and maintains complex collective behaviours exhibited by the ecosystem as a whole? Here we answer this question by incorporating principles from connectionist learning, a previously unrelated discipline already using well-developed theories on how emergent behaviours arise in simple networks. Specifically, we show conditions where natural selection on ecological interactions is functionally equivalent to a simple type of connectionist learning, 'unsupervised learning', well-known in neural-network models of cognitive systems to produce many non-trivial collective behaviours. Accordingly, we find that a community can self-organise in a well-defined and non-trivial sense without selection at the community level; its organisation can be conditioned by past experience in the same sense as connectionist learning models habituate to stimuli. This conditioning drives the community to form a distributed ecological memory of multiple past states, causing the community to: a) converge to these states from any random initial composition; b) accurately restore historical compositions from small fragments; c) recover a state composition following disturbance; and d) to correctly classify ambiguous initial compositions according to their similarity to learned compositions. We examine how the formation of alternative stable states alters the community's response to changing environmental forcing, and we identify conditions under which the ecosystem exhibits hysteresis with potential for catastrophic regime shifts. This work highlights the potential of connectionist theory to expand our understanding of evo-eco dynamics and collective ecological behaviours. Within this framework we find that, despite not being a Darwinian unit, ecological communities can behave like connectionist learning systems, creating internal conditions that habituate to past environmental conditions and actively recalling those conditions.

Human factors for capacity building: lessons learned from the OpenMRS implementers network.

PubMed

Seebregts, C J; Mamlin, B W; Biondich, P G; Fraser, H S F; Wolfe, B A; Jazayeri, D; Miranda, J; Blaya, J; Sinha, C; Bailey, C T; Kanter, A S

2010-01-01

The overall objective of this project was to investigate ways to strengthen the OpenMRS community by (i) developing capacity and implementing a network focusing specifically on the needs of OpenMRS implementers, (ii) strengthening community-driven aspects of OpenMRS and providing a dedicated forum for implementation-specific issues, and; (iii) providing regional support for OpenMRS implementations as well as mentorship and training. The methods used included (i) face-to-face networking using meetings and workshops; (ii) online collaboration tools, peer support and mentorship programmes; (iii) capacity and community development programmes, and; (iv) community outreach programmes. The community-driven approach, combined with a few simple interventions, has been a key factor in the growth and success of the OpenMRS Implementers Network. It has contributed to implementations in at least twenty-three different countries using basic online tools; and provided mentorship and peer support through an annual meeting, workshops and an internship program. The OpenMRS Implementers Network has formed collaborations with several other open source networks and is evolving regional OpenMRS Centres of Excellence to provide localized support for OpenMRS development and implementation. These initiatives are increasing the range of functionality and sustainability of open source software in the health domain, resulting in improved adoption and enterprise-readiness. Social organization and capacity development activities are important in growing a successful community-driven open source software model.

Generative Adversarial Networks: An Overview

NASA Astrophysics Data System (ADS)

Creswell, Antonia; White, Tom; Dumoulin, Vincent; Arulkumaran, Kai; Sengupta, Biswa; Bharath, Anil A.

2018-01-01

Generative adversarial networks (GANs) provide a way to learn deep representations without extensively annotated training data. They achieve this through deriving backpropagation signals through a competitive process involving a pair of networks. The representations that can be learned by GANs may be used in a variety of applications, including image synthesis, semantic image editing, style transfer, image super-resolution and classification. The aim of this review paper is to provide an overview of GANs for the signal processing community, drawing on familiar analogies and concepts where possible. In addition to identifying different methods for training and constructing GANs, we also point to remaining challenges in their theory and application.

Learning to Live Together: A Review of UNESCO's Associated Schools Project Network

NASA Astrophysics Data System (ADS)

Schweisfurth, Michele

2005-05-01

Some 7400 schools belong to the global network of UNESCO's Associated School Project Network. They are committed to promoting ideals such as human rights, intercultural understanding, peace and environmental protection. This study is based on an extensive review undertaken in 2003. It discusses the origins and analyzes the achievements of the Associated School Project Network in bringing change to schools, communities and national policy. The analysis employs a variety of models of educational innovation and reform in order to assess the horizontal and vertical impact of the Associated School Project Network. It draws general conclusions on the usefulness of such networks for intercultural learning and educational and social change. Key issues include the commitment of stakeholders; the treatment of culturally sensitive issues; cultural interpretations of certain subjects; the value of horizontal networks; and the difficulty of achieving vertical impact on national policy-making.

Inferring causal molecular networks: empirical assessment through a community-based effort.

PubMed

Hill, Steven M; Heiser, Laura M; Cokelaer, Thomas; Unger, Michael; Nesser, Nicole K; Carlin, Daniel E; Zhang, Yang; Sokolov, Artem; Paull, Evan O; Wong, Chris K; Graim, Kiley; Bivol, Adrian; Wang, Haizhou; Zhu, Fan; Afsari, Bahman; Danilova, Ludmila V; Favorov, Alexander V; Lee, Wai Shing; Taylor, Dane; Hu, Chenyue W; Long, Byron L; Noren, David P; Bisberg, Alexander J; Mills, Gordon B; Gray, Joe W; Kellen, Michael; Norman, Thea; Friend, Stephen; Qutub, Amina A; Fertig, Elana J; Guan, Yuanfang; Song, Mingzhou; Stuart, Joshua M; Spellman, Paul T; Koeppl, Heinz; Stolovitzky, Gustavo; Saez-Rodriguez, Julio; Mukherjee, Sach

2016-04-01

It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective, and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess inferred molecular networks in a causal sense.

Assessing the Academic Networked Environment: Strategies and Options.

ERIC Educational Resources Information Center

McClure, Charles R.; Lopata, Cynthia L.

Many people in higher education are looking to networked resources and services when formulating strategies for addressing the pursuits of learning, teaching, research, and community service. Sometimes it may be difficult to determine if users are seeing the same things or the "right" things. This manual provides a set of tools for…

A Functional Plan for an Illinois Library Telecommunications Network. The Final Report.

ERIC Educational Resources Information Center

Calabrese, Alice; And Others

This final report describes the plan developed by the Northern Illinois Learning Resources Cooperative, a consortium of 44 community colleges and other academic institutions, which was awarded a Library Services and Construction Act (LSCA) Title III planning grant to research the requirements for a statewide electronic network that would provide…

Situated Learning through Social Networking Communities: The Development of Joint Enterprise, Mutual Engagement, and a Shared Repertoire

ERIC Educational Resources Information Center

Mills, Nicole

2011-01-01

Scholars praise social networking tools for their ability to engage and motivate iGeneration students in meaningful communicative practice, content exchange, and collaboration (Greenhow, Robelia, & Hughes, 2009; Ziegler, 2007). To gain further insight about the nature of student participation, knowledge acquisition, and relationship development…

The Linked Classroom as Studio: Connectivity and the Etymology of Networks.

ERIC Educational Resources Information Center

Badaracco, Claire Hoertz

2002-01-01

Notes that a developing multimedia network to connect three campuses allowed students in a Media, Religion and Cultural Identity course, national spokespersons, editors, and journalists to discuss the role of mediated religion, its impact on public opinion and on popular culture. Considers how a learning community was created. Argues for…

The Earth Needs You!

ERIC Educational Resources Information Center

Curriculum Review, 2008

2008-01-01

Celebrated annually on April 22, schools and communities organize numerous activities during Earth Day to promote awareness. To help teachers plan their own initiatives and to learn more about what is happening around the world, they can join the Earth Day Network at: http://network.earthday.net/. Once they have joined, they can create a webpage…

Building A National Network for Ocean and Climate Change Interpretation (Invited)

NASA Astrophysics Data System (ADS)

Spitzer, W.; Anderson, J.

2013-12-01

In the US, more than 1,500 informal science venues (science centers, museums, aquariums, zoos, nature centers, national parks) are visited annually by 61% of the population. Research shows that these visitors are receptive to learning about climate change, and expect these institutions to provide reliable information about environmental issues and solutions. Given that we spend less than 5% of our lifetime in a classroom, informal science venues play a critical role in shaping public understanding. Since 2007, the New England Aquarium (NEAq) has led a national effort to increase the capacity of informal science education institutions (ISEIs) to effectively communicate about the impacts of climate change on the oceans. NEAq is now leading the NSF-funded National Network for Ocean and Climate Change Interpretation (NNOCCI), partnering with the Association of Zoos and Aquariums, FrameWorks Institute, Woods Hole Oceanographic Institution, Monterey Bay Aquarium, and National Aquarium, with evaluation conducted by the New Knowledge Organization, Pennsylvania State University, and Ohio State University. NNOCCI's design is based on best practices in informal science learning, cognitive/social psychology, community and network building: Interpreters as Communication Strategists - Interpreters can serve not merely as educators disseminating information, but can also be leaders in influencing public perceptions, given their high level of commitment, knowledge, public trust, social networks, and visitor contact. Communities of Practice - Learning is a social activity that is created through engagement in a supportive community context. Social support is particularly important in addressing a complex, contentious and distressing subject. Diffusion of Innovation - Peer networks are of primary importance in spreading innovations. Leaders serve as 'early adopters' and influence others to achieve a critical mass of implementation. Over the next five years, NNOCCI will achieve a systemic national impact across the ISE community, embed its work within multiple ongoing regional and national climate change education networks, and leave an enduring legacy: 1. An evidence-based core story and supporting training materials will be incorporated in an e-Workshop, which will be widely disseminated via AZA, other professional networks and climateinterpreter.org. 2. A national network of regional interpretive leaders will continue to convene and collaborate, as part of NNOCCI's ongoing participation in the national AZA community. 3. An online community at climateinterpreter.org will continue to serve the 150 ISEIs that NNOCCI reaches over the course of the project -- a critical mass with a broad national reach -- and help to support further dissemination through the ISE community. 4. Ongoing research will document the lasting impact of this project on promoting effective public engagement in climate change. 5. The next generation of ocean scientists will gain new perspective and communication skills, enabling them to broaden the impact of their research. We believe that the NNOCCI project can serve as a model for how ISEIs can address other complex environmental, scientific, and policy topics as well.

Social Learning among People Who Are Excluded from the Labor Market. Part One: Context and Case Studies. NALL Working Paper.

ERIC Educational Resources Information Center

Church, Kathryn; Fontan, Jean-Marc; Ng, Roxana; Shragge, Eric

This working paper lays groundwork for a Network for New Approaches to Lifelong Learning study on informal learning by people displaced from the labor market or chronically unemployed, in the context of community organizations. Section 1 examines the context and two particularly significant features--wider changes in the nature of work and related…

Advancing Professional Development Through a Community of Practice: the New England Network for Faculty Affairs.

PubMed

Power, Christine M; Thorndyke, Luanne E; Milner, Robert J; Lowney, Kathleen; Irvin, Charles G; Fonseca-Kelly, Zoe; Benjamin, Emelia J; Bhasin, Robina M; Connelly, Maureen T

2018-01-01

In an era of competing priorities, funding is increasingly restricted for offices of faculty affairs and development. Opportunities for professional staff to grow and network through attendance at national meetings and to share best practices are limited. We sought to describe a community of practice established to enhance the professional development of faculty affairs professionals and to document its impact. We outlined the process of formation of the New England Network for Faculty Affairs (NENFA), reviewed the pedagogical approaches to professional development, and surveyed members to evaluate the impact of NENFA on their activities, professional network and their institutions. After a successful 2011 initial meeting, NENFA created an organizing committee and conducted a needs assessment among potential members. NENFA's charter, mission, goals, and structure were based on survey results. NENFA's regional community of practice grew to 31 institutions and held 10 meetings over 5 years. Meetings have examined a faculty development topic in depth using multiple learning formats to engage participants from academic medical centers and allied professions. Results from a 2015 member survey confirmed the value of NENFA. Multiple members documented changes in practice as a result of participating. NENFA has been sustained by volunteer leadership, collaboration, and the value that the group has brought to its members. We propose that a "community of practice" offers an effective model for collaborative learning among individuals at different institutions within a competitive health care environment. We recommend that the approach be replicated in other regions.

Networking in medical education: creating and connecting.

PubMed

Supe, Avinash N

2008-03-01

Social networking is being increasingly used as a tool of choice for communications and collaborations in business and higher education. Learning and practice become inseparable when professionals work in communities of practice that create interpersonal bonds and promote collective learning. Individual learning that arises from the critical reconstruction of practice, in the presence of peers and other health professionals, enhances a physician's capability of clinical judgment and evidence-based practice. As such, it would be wise for medical schools, whose responsibility it is to prepare students to make a transition to adult life with the skills they need to succeed in both arenas, to reckon with it.

Networking Skills as a Career Development Practice: Lessons from the Earth Science Women's Network (ESWN)

NASA Astrophysics Data System (ADS)

Hastings, M. G.; Kontak, R.; Holloway, T.; Marin-Spiotta, E.; Steiner, A. L.; Wiedinmyer, C.; Adams, A. S.; de Boer, A. M.; Staudt, A. C.; Fiore, A. M.

2010-12-01

Professional networking is often cited as an important component of scientific career development, yet there are few resources for early career scientists to develop and build networks. Personal networks can provide opportunities to learn about organizational culture and procedures, expectations, advancement opportunities, and best practices. They provide access to mentors and job placement opportunities, new scientific collaborations, speaker and conference invitations, increased scientific visibility, reduced isolation, and a stronger feeling of community. There is evidence in the literature that a sense of community positively affects the engagement and retention of underrepresented groups, including women, in science. Thus women scientists may particularly benefit from becoming part of a network. The Earth Science Women’s Network (ESWN) began in 2002 as an informal peer-to-peer mentoring initiative among a few recent Ph.D.s. The network has grown exponentially to include over 1000 women scientists across the globe. Surveys of our membership about ESWN report positive impacts on the careers of women in Earth sciences, particularly those in early career stages. Through ESWN, women share both professional and personal advice, establish research collaborations, communicate strategies on work/life balance, connect with women at various stages of their careers, and provide perspectives from cultures across the globe. We present lessons learned through the formal and informal activities promoted by ESWN in support of the career development of women Earth scientists.

Mirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons.

PubMed

Burbank, Kendra S

2015-12-01

The autoencoder algorithm is a simple but powerful unsupervised method for training neural networks. Autoencoder networks can learn sparse distributed codes similar to those seen in cortical sensory areas such as visual area V1, but they can also be stacked to learn increasingly abstract representations. Several computational neuroscience models of sensory areas, including Olshausen & Field's Sparse Coding algorithm, can be seen as autoencoder variants, and autoencoders have seen extensive use in the machine learning community. Despite their power and versatility, autoencoders have been difficult to implement in a biologically realistic fashion. The challenges include their need to calculate differences between two neuronal activities and their requirement for learning rules which lead to identical changes at feedforward and feedback connections. Here, we study a biologically realistic network of integrate-and-fire neurons with anatomical connectivity and synaptic plasticity that closely matches that observed in cortical sensory areas. Our choice of synaptic plasticity rules is inspired by recent experimental and theoretical results suggesting that learning at feedback connections may have a different form from learning at feedforward connections, and our results depend critically on this novel choice of plasticity rules. Specifically, we propose that plasticity rules at feedforward versus feedback connections are temporally opposed versions of spike-timing dependent plasticity (STDP), leading to a symmetric combined rule we call Mirrored STDP (mSTDP). We show that with mSTDP, our network follows a learning rule that approximately minimizes an autoencoder loss function. When trained with whitened natural image patches, the learned synaptic weights resemble the receptive fields seen in V1. Our results use realistic synaptic plasticity rules to show that the powerful autoencoder learning algorithm could be within the reach of real biological networks.

Mirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons

PubMed Central

Burbank, Kendra S.

2015-01-01

The autoencoder algorithm is a simple but powerful unsupervised method for training neural networks. Autoencoder networks can learn sparse distributed codes similar to those seen in cortical sensory areas such as visual area V1, but they can also be stacked to learn increasingly abstract representations. Several computational neuroscience models of sensory areas, including Olshausen & Field’s Sparse Coding algorithm, can be seen as autoencoder variants, and autoencoders have seen extensive use in the machine learning community. Despite their power and versatility, autoencoders have been difficult to implement in a biologically realistic fashion. The challenges include their need to calculate differences between two neuronal activities and their requirement for learning rules which lead to identical changes at feedforward and feedback connections. Here, we study a biologically realistic network of integrate-and-fire neurons with anatomical connectivity and synaptic plasticity that closely matches that observed in cortical sensory areas. Our choice of synaptic plasticity rules is inspired by recent experimental and theoretical results suggesting that learning at feedback connections may have a different form from learning at feedforward connections, and our results depend critically on this novel choice of plasticity rules. Specifically, we propose that plasticity rules at feedforward versus feedback connections are temporally opposed versions of spike-timing dependent plasticity (STDP), leading to a symmetric combined rule we call Mirrored STDP (mSTDP). We show that with mSTDP, our network follows a learning rule that approximately minimizes an autoencoder loss function. When trained with whitened natural image patches, the learned synaptic weights resemble the receptive fields seen in V1. Our results use realistic synaptic plasticity rules to show that the powerful autoencoder learning algorithm could be within the reach of real biological networks. PMID:26633645

Using a multi-state Learning Community as an implementation strategy for immediate postpartum long-acting reversible contraception.

PubMed

DeSisto, Carla L; Estrich, Cameron; Kroelinger, Charlan D; Goodman, David A; Pliska, Ellen; Mackie, Christine N; Waddell, Lisa F; Rankin, Kristin M

2017-11-21

Implementation strategies are imperative for the successful adoption and sustainability of complex evidence-based public health practices. Creating a learning collaborative is one strategy that was part of a recently published compilation of implementation strategy terms and definitions. In partnership with the Centers for Disease Control and Prevention and other partner agencies, the Association of State and Territorial Health Officials recently convened a multi-state Learning Community to support cross-state collaboration and provide technical assistance for improving state capacity to increase access to long-acting reversible contraception (LARC) in the immediate postpartum period, an evidence-based practice with the potential for reducing unintended pregnancy and improving maternal and child health outcomes. During 2015-2016, the Learning Community included multi-disciplinary, multi-agency teams of state health officials, payers, clinicians, and health department staff from 13 states. This qualitative study was conducted to better understand the successes, challenges, and strategies that the 13 US states in the Learning Community used for increasing access to immediate postpartum LARC. We conducted telephone interviews with each team in the Learning Community. Interviews were semi-structured and organized by the eight domains of the Learning Community. We coded transcribed interviews for facilitators, barriers, and implementation strategies, using a recent compilation of expert-defined implementation strategies as a foundation for coding the latter. Data analysis showed three ways that the activities of the Learning Community helped in policy implementation work: structure and accountability, validity, and preparing for potential challenges and opportunities. Further, the qualitative data demonstrated that the Learning Community integrated six other implementation strategies from the literature: organize clinician implementation team meetings, conduct educational meetings, facilitation, promote network weaving, provide ongoing consultation, and distribute educational materials. Convening a multi-state learning collaborative is a promising approach for facilitating the implementation of new reimbursement policies for evidence-based practices complicated by systems challenges. By integrating several implementation strategies, the Learning Community serves as a meta-strategy for supporting implementation.

"There's a Real Mix...It's Not All Doom and Gloom around Here!": Parents' Views on Raising Children in a Community Experiencing High Levels of Disadvantage

ERIC Educational Resources Information Center

Peppard, Judith

2009-01-01

In 2006 three primary schools and a community youth service "crossed borders" by forming a network to improve student educational achievement in a community experiencing high levels of disadvantage. Recognising that they lacked the capacity and resources required to counteract the numerous barriers to learning experienced by many of…

Turning Visitors into Citizens: Using Social Science for Civic Engagement in Informal Science Education Centers

ERIC Educational Resources Information Center

Bunten, Alexis; Arvizu, Shannon

2013-01-01

How can museums and other informal learning institutions cultivate greater civic engagement among the visiting public around important social issues? This case study of the National Network of Ocean and Climate Change Interpreters' (NNOCCI) professional learning community illustrates how insights from the social sciences can be productively…

The Effect of Centralization and Cohesion on the Social Construction of Knowledge in Discussion Forums

ERIC Educational Resources Information Center

Tirado, Ramón; Hernando, Ángel; Aguaded, José Ignacio

2015-01-01

Interactive relationships in online learning communities can influence the process and quality of knowledge building. The aim of this study is to empirically investigate the relationships between network structures and social knowledge building in an asynchronous writing environment through discussion forums in a learning management system. The…

The Effect of Centralization and Cohesion on the Social Construction of Knowledge in Discussion Forums

ERIC Educational Resources Information Center

Tirado, Ramon; Hernando, Angel; Aguaded, Jose Ignacio

2012-01-01

Interactive relationships in online learning communities can influence the process and quality of knowledge building. The aim of this study is to empirically investigate the relationships between network structures and social knowledge building in an asynchronous writing environment through discussion forums in a learning management system. The…

Designerly Talk in Non-Pedagogical Social Spaces

ERIC Educational Resources Information Center

Gray, Colin M.; Howard, Craig D.

2014-01-01

Students live and work in worlds where virtual communities, such as those created via social network sites (e.g. Facebook) may interplay with their formal learning, but scholars of design pedagogy know little about how these spaces can support design learning. In this study, we describe how a set of informal communications, encapsulated in five…

The Teaching Artist as Cultural Learning Entrepreneur: An Introductory Conceptualization

ERIC Educational Resources Information Center

Chemi, Tatiana

2015-01-01

In the field of teaching artists a new professional profile might be arising: the cultural learning entrepreneur. Compelled by European standards for business and social innovation, the new role is in search of identity and shared understanding. In the present article, the author presents a network project, funded by the European Community, which…

Intergenerational Learning and Social Capital. ERIC Digest.

ERIC Educational Resources Information Center

Kerka, Sandra

The concept of social capital refers to the resources of networks, norms or shared values, and trust to which individuals have access as community members. A reason to consider intergenerational learning in the context of social capital is awareness of unequal access to positive social capital and the risk that social exclusion and disadvantage…

Transforming the Undergraduate Research Experience through Sustained Mentoring: Creating a Strong Support Network and a Collaborative Learning Environment

ERIC Educational Resources Information Center

Camacho, Erika T.; Holmes, Raquell M.; Wirkus, Stephen A.

2015-01-01

This chapter describes how sustained mentoring together with rigorous collaborative learning and community building contributed to successful mathematical research and individual growth in the Applied Mathematical Sciences Summer Institute (AMSSI), a program that focused on women, underrepresented minorities, and individuals from small teaching…

Preparing Pre-Service Teachers for Professional Engagement through Place/Community Pedagogies and Partnerships

ERIC Educational Resources Information Center

Green, Monica M.

2016-01-01

There is an expectation that Australian teachers engage professionally in all aspects of teaching and learning, including engagement with teaching networks and broader communities. This paper reports on a partnership between a teacher educator and an environmental educator who set out to expand pre-service teachers' professional knowledge,…

Participant Association and Emergent Curriculum in a MOOC: Can the Community Be the Curriculum?

ERIC Educational Resources Information Center

Bell, Frances; Mackness, Jenny; Funes, Mariana

2016-01-01

We investigated how participants associated with each other and developed community in a Massive Open Online Course (MOOC) about Rhizomatic Learning (Rhizo14).We compared learner experiences in two social networking sites (SNSs), Facebook and Twitter. Our combination of thematic analysis of qualitative survey data with analysis of participant…

Service Learning and Building Community with the World Wide Web

ERIC Educational Resources Information Center

Longan, Michael W.

2007-01-01

The geography education literature touts the World Wide Web (Web) as a revolutionary educational tool, yet most accounts ignore its uses for public communication and creative expression. This article argues that students can be producers of content that is of service to local audiences. Drawing inspiration from the community networking movement,…

Reality Is Our Laboratory: Communities of Practice in Applied Computer Science

ERIC Educational Resources Information Center

Rohde, M.; Klamma, R.; Jarke, M.; Wulf, V.

2007-01-01

The present paper presents a longitudinal study of the course "High-tech Entrepreneurship and New Media." The course design is based on socio-cultural theories of learning and considers the role of social capital in entrepreneurial networks. By integrating student teams into the communities of practice of local start-ups, we offer…

Difference-Sensitive Communities, Networked Learning, and Higher Education: Potentialities and Risks

ERIC Educational Resources Information Center

Papastephanou, Marianna

2005-01-01

Recent emphases on prospects for difference-sensitive virtual communities rely implicity or explicity on some optimist accounts of cyberspace and globalization. It is expected that hybridity, diaspora and fluidity, marking new understandings of spatiality and temporality in a globalized postmodern era, will create new forms of belonging that will…

A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks.

PubMed

Ponce, Hiram; Martínez-Villaseñor, María de Lourdes; Miralles-Pechuán, Luis

2016-07-05

Human activity recognition has gained more interest in several research communities given that understanding user activities and behavior helps to deliver proactive and personalized services. There are many examples of health systems improved by human activity recognition. Nevertheless, the human activity recognition classification process is not an easy task. Different types of noise in wearable sensors data frequently hamper the human activity recognition classification process. In order to develop a successful activity recognition system, it is necessary to use stable and robust machine learning techniques capable of dealing with noisy data. In this paper, we presented the artificial hydrocarbon networks (AHN) technique to the human activity recognition community. Our artificial hydrocarbon networks novel approach is suitable for physical activity recognition, noise tolerance of corrupted data sensors and robust in terms of different issues on data sensors. We proved that the AHN classifier is very competitive for physical activity recognition and is very robust in comparison with other well-known machine learning methods.

Low-abundant bacteria drive compositional changes in the gut microbiota after dietary alteration.

PubMed

Benjamino, Jacquelynn; Lincoln, Stephen; Srivastava, Ranjan; Graf, Joerg

2018-05-10

As the importance of beneficial bacteria is better recognized, understanding the dynamics of symbioses becomes increasingly crucial. In many gut symbioses, it is essential to understand whether changes in host diet play a role in the persistence of the bacterial gut community. In this study, termites were fed six dietary sources and the microbial community was monitored over a 49-day period using 16S rRNA gene sequencing. A deep backpropagation artificial neural network (ANN) was used to learn how the six different lignocellulose food sources affected the temporal composition of the hindgut microbiota of the termite as well as taxon-taxon and taxon-substrate interactions. Shifts in the termite gut microbiota after diet change in each colony were observed using 16S rRNA gene sequencing and beta diversity analyses. The artificial neural network accurately predicted the relative abundances of taxa at random points in the temporal study and showed that low-abundant taxa maintain community driving correlations in the hindgut. This combinatorial approach utilizing 16S rRNA gene sequencing and deep learning revealed that low-abundant bacteria that often do not belong to the core community are drivers of the termite hindgut bacterial community composition.

Biogeography and environmental conditions shape bacteriophage-bacteria networks across the human microbiome

PubMed Central

Hannigan, Geoffrey D.; Duhaime, Melissa B.; Koutra, Danai

2018-01-01

Viruses and bacteria are critical components of the human microbiome and play important roles in health and disease. Most previous work has relied on studying bacteria and viruses independently, thereby reducing them to two separate communities. Such approaches are unable to capture how these microbial communities interact, such as through processes that maintain community robustness or allow phage-host populations to co-evolve. We implemented a network-based analytical approach to describe phage-bacteria network diversity throughout the human body. We built these community networks using a machine learning algorithm to predict which phages could infect which bacteria in a given microbiome. Our algorithm was applied to paired viral and bacterial metagenomic sequence sets from three previously published human cohorts. We organized the predicted interactions into networks that allowed us to evaluate phage-bacteria connectedness across the human body. We observed evidence that gut and skin network structures were person-specific and not conserved among cohabitating family members. High-fat diets appeared to be associated with less connected networks. Network structure differed between skin sites, with those exposed to the external environment being less connected and likely more susceptible to network degradation by microbial extinction events. This study quantified and contrasted the diversity of virome-microbiome networks across the human body and illustrated how environmental factors may influence phage-bacteria interactive dynamics. This work provides a baseline for future studies to better understand system perturbations, such as disease states, through ecological networks. PMID:29668682

Biogeography and environmental conditions shape bacteriophage-bacteria networks across the human microbiome.

PubMed

Hannigan, Geoffrey D; Duhaime, Melissa B; Koutra, Danai; Schloss, Patrick D

2018-04-01

Viruses and bacteria are critical components of the human microbiome and play important roles in health and disease. Most previous work has relied on studying bacteria and viruses independently, thereby reducing them to two separate communities. Such approaches are unable to capture how these microbial communities interact, such as through processes that maintain community robustness or allow phage-host populations to co-evolve. We implemented a network-based analytical approach to describe phage-bacteria network diversity throughout the human body. We built these community networks using a machine learning algorithm to predict which phages could infect which bacteria in a given microbiome. Our algorithm was applied to paired viral and bacterial metagenomic sequence sets from three previously published human cohorts. We organized the predicted interactions into networks that allowed us to evaluate phage-bacteria connectedness across the human body. We observed evidence that gut and skin network structures were person-specific and not conserved among cohabitating family members. High-fat diets appeared to be associated with less connected networks. Network structure differed between skin sites, with those exposed to the external environment being less connected and likely more susceptible to network degradation by microbial extinction events. This study quantified and contrasted the diversity of virome-microbiome networks across the human body and illustrated how environmental factors may influence phage-bacteria interactive dynamics. This work provides a baseline for future studies to better understand system perturbations, such as disease states, through ecological networks.

Enhancing a Socio-technical Data Ecosystem for Societally Relevant, Sustained Arctic Observing

NASA Astrophysics Data System (ADS)

Pulsifer, P. L.

2017-12-01

In recent years, much has been learned about the state of data and related systems for the Arctic region, however work remains to be done to achieve an envisioned integrated and well-defined pan-Arctic observing and data network. The envisioned comprehensive network will enables access to high quality data, expertise and information in support of scientific understanding, stakeholder needs, and agency operations. In this paper we argue that priorities for establishing such a network are in the areas of better understanding the current system, machine-enhanced data discovery and mediation, and the human aspects of community building. The author has engaged extensively in international, Canadian and U.S.-based data coordination and system design efforts. This includes a series of meetings, workshops, systems design activities, and publications. The results of these efforts have been analyzed and a synthesis of these analyses are presented here. Analysis reveals that there are a large number of polar data resources interacting in a complex network that functions as a data ecosystem. Understanding this ecosystem is critical and required to guide design. Given the size and complexity of the network, achieving broad data discovery and access and meaningful data integration will require advanced techniques including machine learning, semantic mediation, and the use of highly connected virtual research environments. To achieve the aforementioned goal will require a community of engaged researchers, technologists, and stakeholders to establish requirements and the social and organizational context needed for effective approaches. The results imply that: i) an effective governance mechanism must be established that includes "bottom up" and "top down" control; ii) the established governance mechanism must include effective networking of actors in the system; iii) funders must adopt a long-term, sustainable infrastructure approach to systems development; iv) best practices will include service and application "chaining" to provide solutions for the diverse Arctic community. Establishing cyberinfrastructure for a sustained Arctic observing network that benefits society will require an innovative combination of emerging technologies and community-building across stakeholders.

Extraction of business relationships in supply networks using statistical learning theory.

PubMed

Zuo, Yi; Kajikawa, Yuya; Mori, Junichiro

2016-06-01

Supply chain management represents one of the most important scientific streams of operations research. The supply of energy, materials, products, and services involves millions of transactions conducted among national and local business enterprises. To deliver efficient and effective support for supply chain design and management, structural analyses and predictive models of customer-supplier relationships are expected to clarify current enterprise business conditions and to help enterprises identify innovative business partners for future success. This article presents the outcomes of a recent structural investigation concerning a supply network in the central area of Japan. We investigated the effectiveness of statistical learning theory to express the individual differences of a supply chain of enterprises within a certain business community using social network analysis. In the experiments, we employ support vector machine to train a customer-supplier relationship model on one of the main communities extracted from a supply network in the central area of Japan. The prediction results reveal an F-value of approximately 70% when the model is built by using network-based features, and an F-value of approximately 77% when the model is built by using attribute-based features. When we build the model based on both, F-values are improved to approximately 82%. The results of this research can help to dispel the implicit design space concerning customer-supplier relationships, which can be explored and refined from detailed topological information provided by network structures rather than from traditional and attribute-related enterprise profiles. We also investigate and discuss differences in the predictive accuracy of the model for different sizes of enterprises and types of business communities.

Building community capacity using web-supported work-based learning.

PubMed

Pearson, Pauline; Young-Murphy, Lesley; Yaseen, Jonathan; Shiel, Gillian

2013-02-01

Health visitors are a central component of policy to create strong, stable families and communities. The programme which is described here is intended to facilitate existing health visitors to gain confidence and extend or renew their skills in building community capacity (BCC). Networking and relationships are essential to effective community development. These are key skills for the health visitor, which along with professional principles support community capacity building. Learning in this programme is self-directed, supported by web-based resources over a 24 week period. Learning mainly takes place in practice. It involves carrying out a work based project through to completion. Participants register online, and follow a series of six phases. Evaluation of the pilot took place during 2011. Three main areas for improvement were identified: reflective software; signposting access to resources; and dealing with workload pressures. Community engagement for health improvement remains an important element of the vision for health visiting. The programme described is a core resource through which health visitors can build the skills and confidence of community groups and staff in other agencies to make a difference to health and wellbeing.

Exploring Classroom Community: A Social Network Study of Reacting to the Past

ERIC Educational Resources Information Center

Webb, Jeff; Engar, Ann

2016-01-01

In this exploratory social network study, we examined how student relationships evolved during three month-long Reacting to the Past (RTTP) role-playing games in a lower division honors course at a large US public university. Our purpose was to explore how RTTP games--and collaborative learning approaches more generally--impact classroom community…

Social Networking: Developing Intercultural Competence and Fostering Autonomous Learning

ERIC Educational Resources Information Center

Vurdien, Ruby

2014-01-01

With the emergence of Web 2.0, the incorporation of internet-based social networking tools is becoming increasingly popular in the foreign language classes of today. This form of social interaction provides students with the opportunity to express and share their views with their peers, and to create profiles as well as online communities of…

Who Exactly Is the Moderator? A Consideration of Online Knowledge Management Network Moderation in Educational Organisations

ERIC Educational Resources Information Center

Gairin-Sallan, Joaquin; Rodriguez-Gomez, David; Armengol-Asparo, Carme

2010-01-01

In the knowledge society, the appearance and development of new networked working and learning environments is increasingly common. In the "Accelera" project, which is the basis for this paper, we have developed an online community of practice which enables experiences and knowledge to be shared between various educational agents, and…

Better Schools through Health: Networking for Health Promoting Schools in Europe

ERIC Educational Resources Information Center

Buijs, Goof J.

2009-01-01

Education and health have shared interests. Unifying these allows schools to become better places to enjoy learning, teaching and working. Health promoting schools have shown evidence of improving the health and well-being of the whole school community. At the European level, the Schools for Health in Europe (SHE) network is one of the most…

Knowledge Is Something We Do: Knowing and Learning in Globally Networked Communities.

ERIC Educational Resources Information Center

Farell, Lesley; Holkner, Bernard

Workspaces are sites of contention over what is knowledge and who can say so; work-related education has never been a neutral arbiter. In a context in which workspaces routinely bring together physical place and cyber place in communication networks, traditional struggles over knowledge and knowing are affected by communications technologies (CT)…

Semantic labeling of high-resolution aerial images using an ensemble of fully convolutional networks

NASA Astrophysics Data System (ADS)

Sun, Xiaofeng; Shen, Shuhan; Lin, Xiangguo; Hu, Zhanyi

2017-10-01

High-resolution remote sensing data classification has been a challenging and promising research topic in the community of remote sensing. In recent years, with the rapid advances of deep learning, remarkable progress has been made in this field, which facilitates a transition from hand-crafted features designing to an automatic end-to-end learning. A deep fully convolutional networks (FCNs) based ensemble learning method is proposed to label the high-resolution aerial images. To fully tap the potentials of FCNs, both the Visual Geometry Group network and a deeper residual network, ResNet, are employed. Furthermore, to enlarge training samples with diversity and gain better generalization, in addition to the commonly used data augmentation methods (e.g., rotation, multiscale, and aspect ratio) in the literature, aerial images from other datasets are also collected for cross-scene learning. Finally, we combine these learned models to form an effective FCN ensemble and refine the results using a fully connected conditional random field graph model. Experiments on the ISPRS 2-D Semantic Labeling Contest dataset show that our proposed end-to-end classification method achieves an overall accuracy of 90.7%, a state-of-the-art in the field.

Can Social Networks Assist Analysts Fight Terrorism?

DTIC Science & Technology

2011-06-01

protecting America from terrorism in a 2007 article. He proposed the intelligence community ought to build a social networking database to track... filming the event, mostly with mobile phones (Shirky 2009). BBC and the U.S. Geological Survey agencies learned of the event from Twitter minutes...North America , Facebook has over 500,000 unique users visit its site every month (eBizMBA 2011). Third only to QQ, China’s top social network, and Skype

Project STONE: A Partnership Between Academia, Business and Government to Build a Pathway to STEM Careers for K-12 Students

NASA Astrophysics Data System (ADS)

Slattery, W.; Jacomet, P.; Lunsford, S.; Suttle, C.; Grove, R. L.; Teed, R. E.

2011-12-01

In the US, more than 1,500 informal science venues (science centers, museums, aquariums, zoos, nature centers, national parks) are visited annually by 61% of the population. Research shows that these visitors are receptive to learning about climate change, and expect these institutions to provide reliable information about environmental issues and solutions. Given that we spend less than 5% of our lifetime in a classroom, informal science venues play a critical role in shaping public understanding. Since 2007, the New England Aquarium (NEAq) has led a national effort to increase the capacity of informal science education institutions (ISEIs) to effectively communicate about the impacts of climate change on the oceans. NEAq is now leading the NSF-funded National Network for Ocean and Climate Change Interpretation (NNOCCI), partnering with the Association of Zoos and Aquariums, FrameWorks Institute, Woods Hole Oceanographic Institution, Monterey Bay Aquarium, and National Aquarium, with evaluation conducted by the New Knowledge Organization, Pennsylvania State University, and Ohio State University. NNOCCI's design is based on best practices in informal science learning, cognitive/social psychology, community and network building: Interpreters as Communication Strategists - Interpreters can serve not merely as educators disseminating information, but can also be leaders in influencing public perceptions, given their high level of commitment, knowledge, public trust, social networks, and visitor contact. Communities of Practice - Learning is a social activity that is created through engagement in a supportive community context. Social support is particularly important in addressing a complex, contentious and distressing subject. Diffusion of Innovation - Peer networks are of primary importance in spreading innovations. Leaders serve as 'early adopters' and influence others to achieve a critical mass of implementation. Over the next five years, NNOCCI will achieve a systemic national impact across the ISE community, embed its work within multiple ongoing regional and national climate change education networks, and leave an enduring legacy: 1. An evidence-based core story and supporting training materials will be incorporated in an e-Workshop, which will be widely disseminated via AZA, other professional networks and climateinterpreter.org. 2. A national network of regional interpretive leaders will continue to convene and collaborate, as part of NNOCCI's ongoing participation in the national AZA community. 3. An online community at climateinterpreter.org will continue to serve the 150 ISEIs that NNOCCI reaches over the course of the project -- a critical mass with a broad national reach -- and help to support further dissemination through the ISE community. 4. Ongoing research will document the lasting impact of this project on promoting effective public engagement in climate change. 5. The next generation of ocean scientists will gain new perspective and communication skills, enabling them to broaden the impact of their research. We believe that the NNOCCI project can serve as a model for how ISEIs can address other complex environmental, scientific, and policy topics as well.

Success, but Slowly, as Met School Redefines Learning

ERIC Educational Resources Information Center

Pearson, George

2012-01-01

Seven Oaks Met School, the only high school in Canada that is part of the U.S.-based Big Picture Learning network of innovative schools, graduated its first class this spring. Internships with businesses and institutions in the community are a core element of the Met School experience. Students report on their internship experience, as well as on…

Guiding Principles for a Research Schools Network: Successes and Challenges

ERIC Educational Resources Information Center

Schwartz, Marc S.; Gerlach, Jeanne

2011-01-01

Building on J. Dewey's (1907) original work with the laboratory school, the College of Education and Health Professions at the University of Texas-Arlington is expanding the original concept to include partners throughout a school system and the community in order to support and advance learning in multiple learning environments. The goal is to…

Families, Equity, and Technology: "The 81 Percent Solution" Revisited.

ERIC Educational Resources Information Center

Komoski, Ken

Because students spend only 19% of their time each year in school, families and schools need to focus jointly on "the 81% solution" to improve learning beyond the school day and year. This paper discusses examples of the 81% solution that are being implemented in a variety of communities by the LINCT (Learning and Information Networking for…

Project GOLD: Growth Opportunities through Learning & Doing, Performance Reporting Period, November 1, 1996-February 28, 1998. National Workplace Literacy Program.

ERIC Educational Resources Information Center

Seminole Community Coll., Sanford, FL.

Project "Growth Opportunities through Learning and Doing" (GOLD), Seminole Community College's basic skills update program, enrolled 107 students at 2 manufacturing facilities from April 1995-February 1998. Employees from Siemens Telecom Network (formerly known as Siemens Stromberg-Carlson) studied offsite in a classroom equipped with 10 computers…

Building Connective Capital and Personal Learning Networks through Online Professional Development Communities for New Teachers

ERIC Educational Resources Information Center

Sciuto, David J.

2017-01-01

Increasingly, researchers concerned with the effects of digital technology have hypothesized that the millennial generation does not think or process information like its predecessors. In an age of disruptive technology changing culture and learning, new teachers continue to leave the classroom within the first five years of service. Among the…

Engaging Education: Integrating Work, Technology and Learning for Adults.

ERIC Educational Resources Information Center

Department of Housing and Urban Development, Washington, DC.

This guide is for Neighborhood Networks center staff and volunteers who want to learn how centers across the country are helping adults meet work force demands. It provides resources to work force development programs so examples can be tailored to meet the needs of other communities. It focuses on challenges that integrating academics and job…

Building Your Personal Learning Network (PLN): 21st-Century School Librarians Seek Self-Regulated Professional Development Online

ERIC Educational Resources Information Center

Moreillon, Judi

2016-01-01

For school librarians, being part of a "connected" community provides support for getting specific needs met, solving personally relevant and meaningful problems, and developing professional expertise. AASL provides many avenues for members of the profession to learn with and from one another. These include AASL and subgroup electronic…

Blended Learning Citation Patterns and Publication Networks across Seven Worldwide Regions

ERIC Educational Resources Information Center

Spring, Kristian J.; Graham, Charles R.

2017-01-01

The field of international blended learning (BL) is primed to benefit from stronger communication and collaboration. Collaboration is currently limited, and regions vary greatly in terms of citations. However, BL is growing worldwide and each region is an important part of the community. The goal of this research is to explore where the most…

Dynamics of Research Team Formation in Complex Networks

NASA Astrophysics Data System (ADS)

Sun, Caihong; Wan, Yuzi; Chen, Yu

Most organizations encourage the formation of teams to accomplish complicated tasks, and vice verse, effective teams could bring lots benefits and profits for organizations. Network structure plays an important role in forming teams. In this paper, we specifically study the dynamics of team formation in large research communities in which knowledge of individuals plays an important role on team performance and individual utility. An agent-based model is proposed, in which heterogeneous agents from research communities are described and empirically tested. Each agent has a knowledge endowment and a preference for both income and leisure. Agents provide a variable input (‘effort’) and their knowledge endowments to production. They could learn from others in their team and those who are not in their team but have private connections in community to adjust their own knowledge endowment. They are allowed to join other teams or work alone when it is welfare maximizing to do so. Various simulation experiments are conducted to examine the impacts of network topology, knowledge diffusion among community network, and team output sharing mechanisms on the dynamics of team formation.

Engaging the University in Building Communities of Practice for Aging in Place

ERIC Educational Resources Information Center

McDonald, Jessyna M.

2011-01-01

Based upon the principles of the Engaged University (Kellogg Commission 2001), The Institute of Gerontology (IOG) at the University of the District of Columbia developed a model for the scholarship of engagement by building communities of practice within the aging network which may support and enhance student learning outcomes and experiences. The…

Core Practices: Fuel Superintendents' Equity Focus

ERIC Educational Resources Information Center

Thompson, Scott

2016-01-01

For eight years, more than a dozen district superintendents in New Jersey have joined together for a full day each month during the school year to listen to and learn from each other as a community of practice. Known as the New Jersey Network of Superintendents, this community of practice has a tight focus on advancing equity through improvement…

Peer Interaction and Social Network Analysis of Online Communities with the Support of Awareness of Different Contexts

ERIC Educational Resources Information Center

Lin, Jian-Wei; Mai, Li-Jung; Lai, Yung-Cheng

2015-01-01

Although several studies related to social-context awareness (SA) and knowledge-context awareness (KA) argued that each (SA or KA) can individually enhance peer interaction in an online learning community, other studies reached opposite conclusions. These conflicting findings likely stem from different experimental settings. Most importantly, few…

Community Indicators: A Framework for Observing and Supporting Community Activity on Cloudworks

ERIC Educational Resources Information Center

Galley, Rebecca; Conole, Gráinne; Alevizou, Panagiota

2014-01-01

Cloudworks (Cloudworks.ac.uk) is a social networking site designed for sharing, finding and discussing learning and teaching ideas and experiences. Design and development of the site has been based on an iterative analysis, development and implementation approach, underpinned by ongoing research and evaluation. To this end, we have been seeking to…

From Innovation to Impact at Scale: Lessons Learned from a Cluster of Research-Community Partnerships

ERIC Educational Resources Information Center

Schindler, Holly S.; Fisher, Philip A.; Shonkoff, Jack P.

2017-01-01

This article presents a description of how an interdisciplinary network of academic researchers, community-based programs, parents, and state agencies have joined together to design, test, and scale a suite of innovative intervention strategies rooted in new knowledge about the biology of adversity. Through a process of cocreation, collective…

Detectability Thresholds and Optimal Algorithms for Community Structure in Dynamic Networks

NASA Astrophysics Data System (ADS)

Ghasemian, Amir; Zhang, Pan; Clauset, Aaron; Moore, Cristopher; Peel, Leto

2016-07-01

The detection of communities within a dynamic network is a common means for obtaining a coarse-grained view of a complex system and for investigating its underlying processes. While a number of methods have been proposed in the machine learning and physics literature, we lack a theoretical analysis of their strengths and weaknesses, or of the ultimate limits on when communities can be detected. Here, we study the fundamental limits of detecting community structure in dynamic networks. Specifically, we analyze the limits of detectability for a dynamic stochastic block model where nodes change their community memberships over time, but where edges are generated independently at each time step. Using the cavity method, we derive a precise detectability threshold as a function of the rate of change and the strength of the communities. Below this sharp threshold, we claim that no efficient algorithm can identify the communities better than chance. We then give two algorithms that are optimal in the sense that they succeed all the way down to this threshold. The first uses belief propagation, which gives asymptotically optimal accuracy, and the second is a fast spectral clustering algorithm, based on linearizing the belief propagation equations. These results extend our understanding of the limits of community detection in an important direction, and introduce new mathematical tools for similar extensions to networks with other types of auxiliary information.

The Power of Large Scale Partnerships to Increase Climate Awareness and Literacy Around the World

NASA Astrophysics Data System (ADS)

Murphy, T.; Andersen, T. J.; Wegner, K.

2016-12-01

The Global Learning and Observations to Benefit the Environment (GLOBE) Program is an international science and education program that connects a network of communities around the world and gives them the opportunity to participate in data collection and the scientific process, and contribute meaningfully to our understanding of the Earth system and global environment. In the last few years, there has been an infusion of energy in the program as a result of a change to a more community focus. GLOBE was one of the first attempts at a citizen science program at the K-12 level proposed on a global scale. An initial ramp-up of the program was followed by the establishment of a network of partners in countries and within the U.S. One hundred and seventeen countries have participated in the program since its establishment in 1994. These countries are divided into six regions: Africa (23 countries); Asia and Pacific (18); Europe and Eurasia (41); Latin America and Caribbean (20); Near East and North Africa (13); and North America (2). The community within these regions has reached a maturity level that allows it to organize its own science campaigns ranging from aerosols to phenology…all of which increase awareness of climate issues. In addition, some countries within the regions have established science fairs, GLOBE proved to be the impetus for these fairs. The program's partnership network provides students and teachers with a platform for learning about climate issues in their local and global environment, as well as providing scientists with a network to organize data collection and analysis campaigns. Within the U.S., over 130 educational organizations (universities, science museums, nature centers) are members of a partner network divided into six geographical areas: Northwest; Midwest; Northeast and Mid-Atlantic; Southeast; Southwest; and Pacific. For the first time ever, the U.S. held GLOBE science fairs with considerable input and support from the community, the U.S. Partner Forum members, and U.S. Country Coordinator. GLOBE students exhibited their research and learned about climate issues at these fairs. GLOBE has evolved in 20 years and its strength is the community of partners that has helped moved climate literacy forward on a global scale.

Deep Unsupervised Learning on a Desktop PC: A Primer for Cognitive Scientists.

PubMed

Testolin, Alberto; Stoianov, Ivilin; De Filippo De Grazia, Michele; Zorzi, Marco

2013-01-01

Deep belief networks hold great promise for the simulation of human cognition because they show how structured and abstract representations may emerge from probabilistic unsupervised learning. These networks build a hierarchy of progressively more complex distributed representations of the sensory data by fitting a hierarchical generative model. However, learning in deep networks typically requires big datasets and it can involve millions of connection weights, which implies that simulations on standard computers are unfeasible. Developing realistic, medium-to-large-scale learning models of cognition would therefore seem to require expertise in programing parallel-computing hardware, and this might explain why the use of this promising approach is still largely confined to the machine learning community. Here we show how simulations of deep unsupervised learning can be easily performed on a desktop PC by exploiting the processors of low cost graphic cards (graphic processor units) without any specific programing effort, thanks to the use of high-level programming routines (available in MATLAB or Python). We also show that even an entry-level graphic card can outperform a small high-performance computing cluster in terms of learning time and with no loss of learning quality. We therefore conclude that graphic card implementations pave the way for a widespread use of deep learning among cognitive scientists for modeling cognition and behavior.

Deep Unsupervised Learning on a Desktop PC: A Primer for Cognitive Scientists

PubMed Central

Testolin, Alberto; Stoianov, Ivilin; De Filippo De Grazia, Michele; Zorzi, Marco

2013-01-01

Deep belief networks hold great promise for the simulation of human cognition because they show how structured and abstract representations may emerge from probabilistic unsupervised learning. These networks build a hierarchy of progressively more complex distributed representations of the sensory data by fitting a hierarchical generative model. However, learning in deep networks typically requires big datasets and it can involve millions of connection weights, which implies that simulations on standard computers are unfeasible. Developing realistic, medium-to-large-scale learning models of cognition would therefore seem to require expertise in programing parallel-computing hardware, and this might explain why the use of this promising approach is still largely confined to the machine learning community. Here we show how simulations of deep unsupervised learning can be easily performed on a desktop PC by exploiting the processors of low cost graphic cards (graphic processor units) without any specific programing effort, thanks to the use of high-level programming routines (available in MATLAB or Python). We also show that even an entry-level graphic card can outperform a small high-performance computing cluster in terms of learning time and with no loss of learning quality. We therefore conclude that graphic card implementations pave the way for a widespread use of deep learning among cognitive scientists for modeling cognition and behavior. PMID:23653617

The Reshaping of an Innovation. ACSN-The Learning Channel, 1974-1982. An Executive Summary Prepared for National Institute of Education.

ERIC Educational Resources Information Center

Douds, M. Jay

This summary describes the development of the Appalachian Community Service Network (ACSN), an educational cable television network that was originally launched as an experimental demonstration in the use of the latest telecommunications for the delivery of educational services. In describing how the stage was set for the eventual development of…

Research Capacity-Building with New Technologies within New Communities of Practice: Reflections on the First Year of the Teacher Education Research Network

ERIC Educational Resources Information Center

Fowler, Zoe; Stanley, Grant; Murray, Jean; Jones, Marion; McNamara, Olwen

2013-01-01

This article focuses on a virtual research environment (VRE) and how it facilitated the networking of teacher educators participating in an Economic and Social Research Council-funded research capacity-building project. Using the theoretical lenses of situated learning and socio-cultural approaches to literacy, participants' ways of engaging with…

Ties that Bind: Cultural Referent Groups and Coping Strategies of Adult Women as Learners

ERIC Educational Resources Information Center

Nanton, Carmela R.

2009-01-01

This chapter examines the cultural influences and applications of women's social capital networks on women's knowledge construction, community development, and autonomy within their cultures and the adult learning context.

Diabetes education project: community networking in rural Utah.

PubMed

DeBry, S M; Smith, A; Wittenberg, M; Mortensen, V

1996-01-01

People in rural areas often lack the financial resources, workforce, and professional network needed to sustain a diabetes education pro gram in their own community. HealthInsight, a nonprofit organization that works to improve the quality of health care in its community, developed a 2-day seminar in an effort to facilitate the networking of rural health professionals who educate patients with diabetes and to help those educators better learn how to use existing resources. Participants included nurses, dietitians, diabetes educators, quality managers, and education directors from hospitals and home health agencies in both rural and metropolitan areas. Speakers presented information on a variety of topics related to program development, and a resource manual containing numerous materials was given to each participant. At the end of the seminar, the group turned in goals for their own programs. Too often, providers of health care compete rather than collaborate with one another. There is a great need for such networking opportunities among health care professionals working on common goals--especially in rural areas.

Comment on 'Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study'.

PubMed

Valdes, Gilmer; Interian, Yannet

2018-03-15

The application of machine learning (ML) presents tremendous opportunities for the field of oncology, thus we read 'Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study' with great interest. In this article, the authors used state of the art techniques: a pre-trained convolutional neural network (VGG-16 CNN), transfer learning, data augmentation, drop out and early stopping, all of which are directly responsible for the success and the excitement that these algorithms have created in other fields. We believe that the use of these techniques can offer tremendous opportunities in the field of Medical Physics and as such we would like to praise the authors for their pioneering application to the field of Radiation Oncology. That being said, given that the field of Medical Physics has unique characteristics that differentiate us from those fields where these techniques have been applied successfully, we would like to raise some points for future discussion and follow up studies that could help the community understand the limitations and nuances of deep learning techniques.

School-community learning partnerships for sustainability: Recommended best practice and reality

NASA Astrophysics Data System (ADS)

Wheeler, Leone; Guevara, Jose Roberto; Smith, Jodi-Anne

2018-05-01

Effective partnerships across different stakeholders are essential to the collaboration required for learning cities to contribute to sustainable development. Through partnerships, formal educational institutions, such as schools and universities, play a vital role in establishing and sustaining learning cities, often by facilitating the meaningful participation of different local community members. The research presented in this article examines the characteristics of effective school-community partnerships in the literature and compares it to the results of a three-year research study which examined 16 case studies of school-community partnerships in the state of Victoria in Australia. Using participatory action research, the researchers identified four approaches to implementing partnerships for sustainability, explored challenges to achieving an idealised partnership, and made recommendations for establishing successful partnership networks. The researchers propose that partnerships be viewed as a dynamic resource rather than merely a transactional arrangement that addresses the identified challenges of time, funding, skills and personnel. Furthermore, the use of "partnership brokers", such as local government or non-government organisations, is recommended to expand the current school-centred approach to partnerships. These insights aim to contribute to providing quality education and lifelong learning through partnerships - outcomes crucial for establishing and sustaining learning cities.

Design Concerns in the Engineering of Virtual Worlds for Learning

ERIC Educational Resources Information Center

Rapanotti, Lucia; Hall, Jon G.

2011-01-01

The convergence of 3D simulation and social networking into current multi-user virtual environments has opened the door to new forms of interaction for learning in order to complement the face-to-face and Web 2.0-based systems. Yet, despite a growing user community, design knowledge for virtual worlds remains patchy, particularly when it comes to…

Military Interoperable Digital Hospital Testbed (MIDHT)

DTIC Science & Technology

2010-07-01

solutions to optimize healthcare resources for rural communities and identify lessons learned and best practices that benefit both the global MHS...providers and three CHS facilities on their business practices and process flows. Research initiatives will focus on the impact of an electronic...strategic goals and the Nationwide Health Information Network (NHIN). The MIDHT will continue to identify lessons learned/best practices that benefit

The impact of a faculty learning community on professional and personal development: the facilitator training program of the American Academy on Communication in Healthcare.

PubMed

Chou, Calvin L; Hirschmann, Krista; Fortin, Auguste H; Lichstein, Peter R

2014-07-01

Relationship-centered care attends to the entire network of human relationships essential to patient care. Few faculty development programs prepare faculty to teach principles and skills in relationship-centered care. One exception is the Facilitator Training Program (FTP), a 25-year-old training program of the American Academy on Communication in Healthcare. The authors surveyed FTP graduates to determine the efficacy of its curriculum and the most important elements for participants' learning. In 2007, surveys containing quantitative and narrative elements were distributed to 51 FTP graduates. Quantitative data were analyzed using descriptive statistics. The authors analyzed narratives using Burke's dramatistic pentad as a qualitative framework to delineate how interrelated themes interacted in the FTP. Forty-seven respondents (92%) identified two essential acts that happened in the program: an iterative learning process, leading to heightened personal awareness and group facilitation skills; and longevity of learning and effect on career. The structure of the program's learning community provided the scene, and the agents were the participants, who provided support and contributed to mutual success. Methods of developing skills in personal awareness, group facilitation, teaching, and feedback constituted agency. The purpose was to learn skills and to join a community to share common values. The FTP is a learning community that provided faculty with skills in principles of relationship-centered care. Four further features that describe elements of this successful faculty-based learning community are achievement of self-identified goals, distance learning modalities, opportunities to safely discuss workplace issues outside the workplace, and self-renewing membership.

Persistent homology of time-dependent functional networks constructed from coupled time series

NASA Astrophysics Data System (ADS)

Stolz, Bernadette J.; Harrington, Heather A.; Porter, Mason A.

2017-04-01

We use topological data analysis to study "functional networks" that we construct from time-series data from both experimental and synthetic sources. We use persistent homology with a weight rank clique filtration to gain insights into these functional networks, and we use persistence landscapes to interpret our results. Our first example uses time-series output from networks of coupled Kuramoto oscillators. Our second example consists of biological data in the form of functional magnetic resonance imaging data that were acquired from human subjects during a simple motor-learning task in which subjects were monitored for three days during a five-day period. With these examples, we demonstrate that (1) using persistent homology to study functional networks provides fascinating insights into their properties and (2) the position of the features in a filtration can sometimes play a more vital role than persistence in the interpretation of topological features, even though conventionally the latter is used to distinguish between signal and noise. We find that persistent homology can detect differences in synchronization patterns in our data sets over time, giving insight both on changes in community structure in the networks and on increased synchronization between brain regions that form loops in a functional network during motor learning. For the motor-learning data, persistence landscapes also reveal that on average the majority of changes in the network loops take place on the second of the three days of the learning process.

Knowledge Diffusion in a Grade 4-5 Classroom during a Unit on Civil Engineering: An Analysis of a Classroom Community in Terms of Its Changing Resources and Practices.

ERIC Educational Resources Information Center

Roth, Wolff-Michael

1996-01-01

Employed the actor network theory to examine the transformation of a grade-four classroom community as new resources and practices became available. Found that the diffusion and enculturation metaphors are insufficient to model important aspects of learning in a student-centered classroom. (MOK)

Japanese Culture and the Philosophy of Self-Advocacy: The Importance of Interdependence in Community Living

ERIC Educational Resources Information Center

Tsuda, Eiji

2006-01-01

In Japan, there is a growing network of self-advocacy groups. Some groups are involved in campaigning. Other groups are involved in social events and education. The age of de-institutionalization is gradually arriving and community living for people with learning difficulties is becoming an urgent political issue. Self-advocacy groups can help…

Communities of Practice in a Voluntary Youth Organisation: Reaching for the Sky and Building Social Capital

ERIC Educational Resources Information Center

Chan, Bill; Short, Tom

2011-01-01

The study is situated within a national youth organisation called the Australian Air League Inc (Air League). We examine the recent progress of the Air League in South Australia, starting as a loose network of volunteers engaged in a sporadic array of activities, to become a learning community that worked collaboratively and then developed further…

The Influence of Collective Asynchronous Discourse Elaborated Online by Pre-Service Teachers on Their Educational Interventions in the Classroom

ERIC Educational Resources Information Center

Allaire, Stéphane

2015-01-01

Networked learning communities are growing and they offer new opportunities for reflection on practice in education. Many authors have studied the processes followed and the contents produced by such communities. On the other hand, few have observed how collective asynchronous discourse can be enacted in the classroom. This objective was pursued…

On designing of a low leakage patient-centric provider network.

PubMed

Zheng, Yuchen; Lin, Kun; White, Thomas; Pickreign, Jeremy; Yuen-Reed, Gigi

2018-03-27

When a patient in a provider network seeks services outside of their community, the community experiences a leakage. Leakage is undesirable as it typically leads to higher out-of-network cost for patient and increases barrier for care coordination, which is particularly problematic for Accountable Care Organization (ACO) as the in-network providers are financially responsible for quality of care and outcome. We aim to design a data-driven method to identify naturally occurring provider networks driven by diabetic patient choices, and understand the relationship among provider composition, patient composition, and service leakage pattern. By doing so, we learn the features of low service leakage provider networks that can be generalized to different patient population. Data used for this study include de-identified healthcare insurance administrative data acquired from Capital District Physicians' Health Plan (CDPHP) for diabetic patients who resided in four New York state counties (Albany, Rensselaer, Saratoga, and Schenectady) in 2014. We construct a healthcare provider network based on patients' historical medical insurance claims. A community detection algorithm is used to identify naturally occurring communities of collaborating providers. For each detected community, a profile is built using several new key measures to elucidate stakeholders of our findings. Finally, import-export analysis is conducted to benchmark their leakage pattern and identify further leakage reduction opportunity. The design yields six major provider communities with diverse profiles. Some communities are geographically concentrated, while others tend to draw patients with certain diabetic co-morbidities. Providers from the same healthcare institution are likely to be assigned to the same community. While most communities have high within-community utilization and spending, at 85% and 86% respectively, leakage still persists. Hence, we utilize a metric from import-export analysis to detect leakage, gaining insight on how to minimize leakage. We identify patient-driven provider organization by surfacing providers who share a large number of patients. By analyzing the import-export behavior of each identified community using a novel approach and profiling community patient and provider composition we understand the key features of having a balanced number of PCP and specialists and provider heterogeneity.

Twitmographics: Learning the Emergent Properties of the Twitter Community

NASA Astrophysics Data System (ADS)

Cheong, Marc; Lee, Vincent

This paper presents a framework for discovery of the emergent properties of users of the Twitter microblogging platform. The novelty of our methodology is the use of machine-learning methods to deduce user demographic information and online usage patterns and habits not readily apparent from the raw messages posted on Twitter. This is different from existing social network analysis performed on de facto social networks such as Face-book, in the sense that we use publicly available metadata from Twitter messages to explore the inherent characteristics about different segments of the Twitter community, in a simple yet effective manner. Our framework is coupled with the self-organizing map visualization method, and tested on a corpus of messages which deal with issues of socio politi-cal and economic impact, to gain insight into the properties of human interaction via Twitter as a medium for computer-mediated self-expression.

CosmoQuest Collaborative: Galvanizing a Dynamic Professional Learning Network

NASA Astrophysics Data System (ADS)

Cobb, Whitney; Bracey, Georgia; Buxner, Sanlyn; Gay, Pamela L.; Noel-Storr, Jacob; CosmoQuest Team

2016-10-01

The CosmoQuest Collaboration offers in-depth experiences to diverse audiences around the nation and the world through pioneering citizen science in a virtual research facility. An endeavor between universities, research institutes, and NASA centers, CosmoQuest brings together scientists, educators, researchers, programmers—and citizens of all ages—to explore and make sense of our solar system and beyond. Leveraging human networks to expand NASA science, scaffolded by an educational framework that inspires lifelong learners, CosmoQuest engages citizens in analyzing and interpreting real NASA data, inspiring questions and defining problems.The QuestionLinda Darling-Hammond calls for professional development to be: "focused on the learning and teaching of specific curriculum content [i.e. NGSS disciplinary core ideas]; organized around real problems of practice [i.e. NGSS science and engineering practices] … [and] connected to teachers' collaborative work in professional learning community...." (2012) In light of that, what is the unique role CosmoQuest's virtual research facility can offer NASA STEM education?A Few AnswersThe CosmoQuest Collaboration actively engages scientists in education, and educators (and learners) in science. CosmoQuest uses social channels to empower and expand NASA's learning community through a variety of media, including science and education-focused hangouts, virtual star parties, and social media. In addition to creating its own supportive, standards-aligned materials, CosmoQuest offers a hub for excellent resources and materials throughout NASA and the larger astronomy community.In support of CosmoQuest citizen science opportunities, CQ initiatives (Learning Space, S-ROSES, IDEASS, Educator Zone) will be leveraged and shared through the CQPLN. CosmoQuest can be present and alive in the awareness its growing learning community.Finally, to make the CosmoQuest PLN truly relevant, it aims to encourage partnerships between scientists and educators, and offer "just-in-time" opportunities to support constituents exploring emerging NASA STEM education, from diverse educators to the curious learner of any age.

Developing accessible cyberinfrastructure-enabled knowledge communities in the national disability community: theory, practice, and policy.

PubMed

Myhill, William N; Cogburn, Derrick L; Samant, Deepti; Addom, Benjamin Kwasi; Blanck, Peter

2008-01-01

Since publication of the Atkins Commission report in 2003, the national scientific community has placed significant emphasis on developing cyberinfrastructure-enabled knowledge communities, which are designed to facilitate enhanced efficiency and collaboration in geographically distributed networks of researchers. This article suggests that the new cyberinfrastructure movement may not fully benefit those participants with disabilities, unless closer attention is paid to legal mandates and universal design principles. Many technology-enhanced learning communities provide geographically distributed collaboration opportunities that expand the inclusion of diverse peoples and help close the digital divide. However, to date, most collaboratory efforts have not emphasized the need for access among people with disabilities nor meeting minimum standards for technological accessibility. To address these concerns, this article reports on two pilot collaboratory studies that explore the role advanced information, communication, and collaboration technologies play in enhancing geographically distributed collaboration among specific research and applied networks within the national disability community. Universal design principles inform the design of the collaboratory and its use and our efforts to ensure access for all. Data for this article come from Web-based surveys, interviews, observations, computer logs, and detailed, mixed-methods accessibility testing. Emerging results suggest that with deliberate and systematic efforts, cyberinfrastructure can be more accessible and generate benefits among persons with disabilities. The authors provide lessons learned and recommendations for future research, policy, law, and practice.

Machine learning phases of matter

NASA Astrophysics Data System (ADS)

Carrasquilla, Juan; Melko, Roger G.

2017-02-01

Condensed-matter physics is the study of the collective behaviour of infinitely complex assemblies of electrons, nuclei, magnetic moments, atoms or qubits. This complexity is reflected in the size of the state space, which grows exponentially with the number of particles, reminiscent of the `curse of dimensionality' commonly encountered in machine learning. Despite this curse, the machine learning community has developed techniques with remarkable abilities to recognize, classify, and characterize complex sets of data. Here, we show that modern machine learning architectures, such as fully connected and convolutional neural networks, can identify phases and phase transitions in a variety of condensed-matter Hamiltonians. Readily programmable through modern software libraries, neural networks can be trained to detect multiple types of order parameter, as well as highly non-trivial states with no conventional order, directly from raw state configurations sampled with Monte Carlo.

Lone Scholar or Community Member? The Role of Student Networks in Doctoral Education in a UK Management School

ERIC Educational Resources Information Center

Pilbeam, Colin; Denyer, David

2009-01-01

Doctoral education in the UK embraces both independent self-directed study and collective shared learning. The extent to which individual doctoral students remain isolated, or become integrated into a network of doctoral students, is a function of the attributes of the individual and the nature of the doctorate and its mode of delivery. Using the…

Functional brain networks reconstruction using group sparsity-regularized learning.

PubMed

Zhao, Qinghua; Li, Will X Y; Jiang, Xi; Lv, Jinglei; Lu, Jianfeng; Liu, Tianming

2018-06-01

Investigating functional brain networks and patterns using sparse representation of fMRI data has received significant interests in the neuroimaging community. It has been reported that sparse representation is effective in reconstructing concurrent and interactive functional brain networks. To date, most of data-driven network reconstruction approaches rarely take consideration of anatomical structures, which are the substrate of brain function. Furthermore, it has been rarely explored whether structured sparse representation with anatomical guidance could facilitate functional networks reconstruction. To address this problem, in this paper, we propose to reconstruct brain networks utilizing the structure guided group sparse regression (S2GSR) in which 116 anatomical regions from the AAL template, as prior knowledge, are employed to guide the network reconstruction when performing sparse representation of whole-brain fMRI data. Specifically, we extract fMRI signals from standard space aligned with the AAL template. Then by learning a global over-complete dictionary, with the learned dictionary as a set of features (regressors), the group structured regression employs anatomical structures as group information to regress whole brain signals. Finally, the decomposition coefficients matrix is mapped back to the brain volume to represent functional brain networks and patterns. We use the publicly available Human Connectome Project (HCP) Q1 dataset as the test bed, and the experimental results indicate that the proposed anatomically guided structure sparse representation is effective in reconstructing concurrent functional brain networks.

Simple Activities for Powerful Impact

NASA Astrophysics Data System (ADS)

LaConte, K.; Shupla, C. B.; Dusenbery, P.; Harold, J. B.; Holland, A.

2016-12-01

STEM education is having a transformational impact on libraries across the country. The STAR Library Education Network (STAR_Net) provides free Science-Technology Activities & Resources that are helping libraries to engage their communities in STEM learning experiences. Hear the results of a national 2015 survey of library and STEM professionals and learn what STEM programming is currently in place in public libraries and how libraries approach and implement STEM programs. Experience hands-on space science activities that are being used in library programs with multiple age groups. Through these hands-on activities, learners explore the nature of science and employ science and engineering practices, including developing and using models, planning and carrying out investigations, and engaging in argument from evidence (NGSS Lead States, 2013). Learn how STAR_Net can help you print (free!) mini-exhibits and educator guides. Join STAR_Net's online community and access STEM resources and webinars to work with libraries in your local community.

Learning the wrong lessons? Science and fisheries management in the Chesapeake Bay blue crab fishery.

PubMed

Beem, Betsi

2012-05-01

This paper argues that information produced and then taken up for policy decision making is a function of a complex interplay within the scientific community and between scientists and the broader policy network who are all grappling with issues in a complex environment with a high degree of scientific uncertainty. The dynamics of forming and re-forming the scientific community are shaped by political processes, as are the directions and questions scientists attend to in their roles as policy advisors. Three factors: 1) social construction of scientific communities, 2) the indeterminacy of science, and 3) demands by policy makers to have concrete information for decision making; are intertwined in the production and dissemination of information that may serve as the basis for policy learning. Through this process, however, what gets learned may not be what is needed to mitigate the problem, be complete in terms of addressing multiple causations, or be correct.

Inferring causal molecular networks: empirical assessment through a community-based effort

PubMed Central

Hill, Steven M.; Heiser, Laura M.; Cokelaer, Thomas; Unger, Michael; Nesser, Nicole K.; Carlin, Daniel E.; Zhang, Yang; Sokolov, Artem; Paull, Evan O.; Wong, Chris K.; Graim, Kiley; Bivol, Adrian; Wang, Haizhou; Zhu, Fan; Afsari, Bahman; Danilova, Ludmila V.; Favorov, Alexander V.; Lee, Wai Shing; Taylor, Dane; Hu, Chenyue W.; Long, Byron L.; Noren, David P.; Bisberg, Alexander J.; Mills, Gordon B.; Gray, Joe W.; Kellen, Michael; Norman, Thea; Friend, Stephen; Qutub, Amina A.; Fertig, Elana J.; Guan, Yuanfang; Song, Mingzhou; Stuart, Joshua M.; Spellman, Paul T.; Koeppl, Heinz; Stolovitzky, Gustavo; Saez-Rodriguez, Julio; Mukherjee, Sach

2016-01-01

Inferring molecular networks is a central challenge in computational biology. However, it has remained unclear whether causal, rather than merely correlational, relationships can be effectively inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge that focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results constitute the most comprehensive assessment of causal network inference in a mammalian setting carried out to date and suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess the causal validity of inferred molecular networks. PMID:26901648

The Relationship of Twitter Use to Students' Engagement and Academic Performance in Online Classes at an Urban Community College

ERIC Educational Resources Information Center

Hirsh, Orit S.

2012-01-01

Student success in online learning is strongly affected by the learner's social presence. There is evidence that not all students benefit from the online learning environment, as it limits social interaction between the students. The purpose of this study was to examine the impact of Twitter, a social network application, on online class…

Material Enactments of Identities and Learning in Everyday Community Practices: Implications for Pedagogy

ERIC Educational Resources Information Center

Aberton, Helen

2012-01-01

In recent years there has been an upsurge of interest in applying actor-network theory (ANT) to educational research and analysis. This article presents an account of how an ANT analysis of socio-material practices with a focus on objects can bring informal learning and identity formation to view. It is based on a doctoral study of the everyday…

The Learner, the Media and the Community: How Does Learning Take Place in the Other CALL Triangle?

ERIC Educational Resources Information Center

Sockett, Geoffrey

2012-01-01

In this research project, students in applied linguistics were asked to keep blogs over a three-month period in which they reported on their online informal learning of English through activities such as social networking, downloading films and TV series and listening to music on demand. The study is situated within the framework of complexity…

The development of Sustainability Graduate Community (SGC) as a learning pathway for sustainability education - a framework for engineering programmes in Malaysia Technical Universities Network (MTUN)

NASA Astrophysics Data System (ADS)

Johan, Kartina; Mohd Turan, Faiz

2016-11-01

‘Environmental and sustainability’ is one of the Program Outcome (PO) designated by the Board of Engineers Malaysia (BEM) as one of the accreditation program requirement. However, to-date the implementation of sustainability elements in engineering programme in the technical universities in Malaysia is within individual faculty's curriculum plan and lack of university-level structured learning pathway, which enable all students to have access to an education in sustainability across all disciplines. Sustainability Graduate Community (SGC) is a framework designed to provide a learning pathway in the curriculum of engineering programs to inculcate sustainability education among engineering graduates. This paper aims to study the required attributes in Sustainability Graduate Community (SGC) framework to produce graduates who are not just engineers but also skilful in sustainability competencies using Global Project Management (GPM) P5 Standard for Sustainability. The development of the conceptual framework is to provide a constructive teaching and learning plan for educators and policy makers to work on together in developing the Sustainability Graduates (SG), the new kind of graduates from Malaysia Technical Universities Network (MTUN) in Malaysia who are literate in sustainability practices. The framework also support the call for developing holistic students based on Malaysian Education Blueprint (Higher Education) and address the gap between the statuses of engineering qualification to the expected competencies from industries in Malaysia in particular by achieving the SG attributes outlined in the framework

Using adapted quality-improvement approaches to strengthen community-based health systems and improve care in high HIV-burden sub-Saharan African countries.

PubMed

Horwood, Christiane M; Youngleson, Michele S; Moses, Edward; Stern, Amy F; Barker, Pierre M

2015-07-01

Achieving long-term retention in HIV care is an important challenge for HIV management and achieving elimination of mother-to-child transmission. Sustainable, affordable strategies are required to achieve this, including strengthening of community-based interventions. Deployment of community-based health workers (CHWs) can improve health outcomes but there is a need to identify systems to support and maintain high-quality performance. Quality-improvement strategies have been successfully implemented to improve quality and coverage of healthcare in facilities and could provide a framework to support community-based interventions. Four community-based quality-improvement projects from South Africa, Malawi and Mozambique are described. Community-based improvement teams linked to the facility-based health system participated in learning networks (modified Breakthrough Series), and used quality-improvement methods to improve process performance. Teams were guided by trained quality mentors who used local data to help nurses and CHWs identify gaps in service provision and test solutions. Learning network participants gathered at intervals to share progress and identify successful strategies for improvement. CHWs demonstrated understanding of quality-improvement concepts, tools and methods, and implemented quality-improvement projects successfully. Challenges of using quality-improvement approaches in community settings included adapting processes, particularly data reporting, to the education level and first language of community members. Quality-improvement techniques can be implemented by CHWs to improve outcomes in community settings but these approaches require adaptation and additional mentoring support to be successful. More research is required to establish the effectiveness of this approach on processes and outcomes of care.

Reputation-based collaborative network biology.

PubMed

Binder, Jean; Boue, Stephanie; Di Fabio, Anselmo; Fields, R Brett; Hayes, William; Hoeng, Julia; Park, Jennifer S; Peitsch, Manuel C

2015-01-01

A pilot reputation-based collaborative network biology platform, Bionet, was developed for use in the sbv IMPROVER Network Verification Challenge to verify and enhance previously developed networks describing key aspects of lung biology. Bionet was successful in capturing a more comprehensive view of the biology associated with each network using the collective intelligence and knowledge of the crowd. One key learning point from the pilot was that using a standardized biological knowledge representation language such as BEL is critical to the success of a collaborative network biology platform. Overall, Bionet demonstrated that this approach to collaborative network biology is highly viable. Improving this platform for de novo creation of biological networks and network curation with the suggested enhancements for scalability will serve both academic and industry systems biology communities.

Concepts & Procedures. [SITE 2002 Section].

ERIC Educational Resources Information Center

Sarner, Ronald, Ed.; Mullick, Rosemary J., Ed.; Bauder, Deborah Y., Ed.

This document contains the following full and short papers on concepts and procedures from the SITE (Society for Information Technology & Teacher Education) 2002 conference: "Exploring Minds Network" (Marino C. Alvarez and others); "Learning Communities: A Kaleidoscope of Ecological Designs" (Alain Breuleux and others);…

Improvement Science and NetworkED Improvement Communities: An Interview with Dr. Anthony Bryk. An ExpandED Schools Resource Guide

ERIC Educational Resources Information Center

ExpandED Schools, 2016

2016-01-01

During the summer, we interviewed Tony Bryk, Author of Learning to Improve: How America's Schools Can Get Better at Getting Better and head of the Carnegie Foundation for the Advancement of Teaching. His work was seminal in the creation of the Framework for Great Schools, which has spurred New York City schools to rethink the structures and…

SCENERY: a web application for (causal) network reconstruction from cytometry data

PubMed Central

Papoutsoglou, Georgios; Athineou, Giorgos; Lagani, Vincenzo; Xanthopoulos, Iordanis; Schmidt, Angelika; Éliás, Szabolcs; Tegnér, Jesper

2017-01-01

Abstract Flow and mass cytometry technologies can probe proteins as biological markers in thousands of individual cells simultaneously, providing unprecedented opportunities for reconstructing networks of protein interactions through machine learning algorithms. The network reconstruction (NR) problem has been well-studied by the machine learning community. However, the potentials of available methods remain largely unknown to the cytometry community, mainly due to their intrinsic complexity and the lack of comprehensive, powerful and easy-to-use NR software implementations specific for cytometry data. To bridge this gap, we present Single CEll NEtwork Reconstruction sYstem (SCENERY), a web server featuring several standard and advanced cytometry data analysis methods coupled with NR algorithms in a user-friendly, on-line environment. In SCENERY, users may upload their data and set their own study design. The server offers several data analysis options categorized into three classes of methods: data (pre)processing, statistical analysis and NR. The server also provides interactive visualization and download of results as ready-to-publish images or multimedia reports. Its core is modular and based on the widely-used and robust R platform allowing power users to extend its functionalities by submitting their own NR methods. SCENERY is available at scenery.csd.uoc.gr or http://mensxmachina.org/en/software/. PMID:28525568

Exploring and revitalizing Indigenous food networks in Saskatchewan, Canada, as a way to improve food security.

PubMed

Gendron, Fidji; Hancherow, Anna; Norton, Ashley

2017-10-01

The project discussed in this paper was designed to expand research and instigate revitalization of Indigenous food networks in Saskatchewan, Canada, by exploring the current state of local Indigenous food networks, creating a Facebook page, organizing volunteer opportunities and surveying workshop participants regarding their knowledge and interest in Indigenous foods. The survey included Likert scale questions and qualitative questions. Project activities and survey results are discussed using statistical and qualitative analysis of the themes. Results indicate that participants are very interested in learning more about, and having greater access to, traditional foods and suggest that supporting Indigenous food networks may be an appropriate response to food insecurity in communities. Elders and community members are vital players in Indigenous foods exploration and revitalization in Saskatchewan by passing on traditional education. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Building international collaborative capacity: contributions of community psychologists to a European network.

PubMed

García-Ramírez, Manuel; Paloma, Virginia; Suarez-Balcazar, Yolanda; Balcazar, Fabricio

2009-09-01

Europe is in the process of building a more participative, just, and inclusive European Union. The European Social Fund, which is an initiative developed to actively promote multinational partnerships that address pressing social issues, is a good example of the European transformation. This article describes the steps taken to develop and evaluate the activities of an international network promoting collaborative capacity among regional partners involved in the prevention of labor discrimination toward immigrants in three European countries-Spain, Belgium, and Italy. An international team of community psychologists proposed an empowering approach to assess the collaborative capacity of the network. This approach consisted of three steps: (1) establishing a collaborative relationship among partners, (2) building collaborative capacity, and (3) evaluating the collaborative capacity of the network. We conclude with lessons learned from the process and provide recommendations for addressing the challenges inherent in international collaboration processes.

Discriminative graph embedding for label propagation.

PubMed

Nguyen, Canh Hao; Mamitsuka, Hiroshi

2011-09-01

In many applications, the available information is encoded in graph structures. This is a common problem in biological networks, social networks, web communities and document citations. We investigate the problem of classifying nodes' labels on a similarity graph given only a graph structure on the nodes. Conventional machine learning methods usually require data to reside in some Euclidean spaces or to have a kernel representation. Applying these methods to nodes on graphs would require embedding the graphs into these spaces. By embedding and then learning the nodes on graphs, most methods are either flexible with different learning objectives or efficient enough for large scale applications. We propose a method to embed a graph into a feature space for a discriminative purpose. Our idea is to include label information into the embedding process, making the space representation tailored to the task. We design embedding objective functions that the following learning formulations become spectral transforms. We then reformulate these spectral transforms into multiple kernel learning problems. Our method, while being tailored to the discriminative tasks, is efficient and can scale to massive data sets. We show the need of discriminative embedding on some simulations. Applying to biological network problems, our method is shown to outperform baselines.

Comment on ‘Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study’

NASA Astrophysics Data System (ADS)

Valdes, Gilmer; Interian, Yannet

2018-03-01

The application of machine learning (ML) presents tremendous opportunities for the field of oncology, thus we read ‘Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study’ with great interest. In this article, the authors used state of the art techniques: a pre-trained convolutional neural network (VGG-16 CNN), transfer learning, data augmentation, drop out and early stopping, all of which are directly responsible for the success and the excitement that these algorithms have created in other fields. We believe that the use of these techniques can offer tremendous opportunities in the field of Medical Physics and as such we would like to praise the authors for their pioneering application to the field of Radiation Oncology. That being said, given that the field of Medical Physics has unique characteristics that differentiate us from those fields where these techniques have been applied successfully, we would like to raise some points for future discussion and follow up studies that could help the community understand the limitations and nuances of deep learning techniques.

The Impact of Utilizing Skype as a Social Tool Network Community on Developing English Major Students' Discourse Competence in the English Language Syllables

ERIC Educational Resources Information Center

Hussein, Nadhim Obaid; Elttayef, Ahmed Ibrahim

2016-01-01

The importance of this study comes from the fact that foreign language learners suffer from traditional ways and methods of teaching and learning. They are looking for new ways of teaching and learning specially methods which integrated with technology. What makes this study important is that using one of the most familiar software for learners…

Collaborative innovations with rural and regional secondary teachers: enhancing student learning in mathematics

NASA Astrophysics Data System (ADS)

Pegg, John; Panizzon, Debra

2011-06-01

When questioned, secondary mathematics teachers in rural and regional schools in Australia refer to their limited opportunities to engage and share experiences with peers in other schools as an under-utilised and cost-effective mechanism to support their professional learning and enhance their students' learning. The paper reports on the creation and evaluation of a network of learning communities of rural secondary mathematics teachers around a common purpose—enhancement and increased engagement of student learning in mathematics. To achieve this goal, teams of teachers from six rural schools identified an issue hindering improved student learning of mathematics in their school. Working collaboratively with support from university personnel with expertise in curriculum, assessment and quality pedagogy, teachers developed and implemented strategies to address an identified issue in ways that were relevant to their teaching contexts. The research study identifies issues in mathematics of major concern to rural teachers of mathematics, the successes and challenges the teachers faced in working in learning communities on the issue they identified, and the efficacy of the professional learning model.

Social Network and Content Analysis of the North American Carbon Program as a Scientific Community of Practice

NASA Technical Reports Server (NTRS)

Brown, Molly E.; Ihli, Monica; Hendrick, Oscar; Delgado-Arias, Sabrina; Escobar, Vanessa M.; Griffith, Peter

2015-01-01

The North American Carbon Program (NACP) was formed to further the scientific understanding of sources, sinks, and stocks of carbon in Earth's environment. Carbon cycle science integrates multidisciplinary research, providing decision-support information for managing climate and carbon-related change across multiple sectors of society. This investigation uses the conceptual framework of com-munities of practice (CoP) to explore the role that the NACP has played in connecting researchers into a carbon cycle knowledge network, and in enabling them to conduct physical science that includes ideas from social science. A CoP describes the communities formed when people consistently engage in shared communication and activities toward a common passion or learning goal. We apply the CoP model by using keyword analysis of abstracts from scientific publications to analyze the research outputs of the NACP in terms of its knowledge domain. We also construct a co-authorship network from the publications of core NACP members, describe the structure and social pathways within the community. Results of the content analysis indicate that the NACP community of practice has substantially expanded its research on human and social impacts on the carbon cycle, contributing to a better understanding of how human and physical processes interact with one another. Results of the co-authorship social network analysis demonstrate that the NACP has formed a tightly connected community with many social pathways through which knowledge may flow, and that it has also expanded its network of institutions involved in carbon cycle research over the past seven years.

Experimental resource pulses influence social-network dynamics and the potential for information flow in tool-using crows

PubMed Central

St Clair, James J. H.; Burns, Zackory T.; Bettaney, Elaine M.; Morrissey, Michael B.; Otis, Brian; Ryder, Thomas B.; Fleischer, Robert C.; James, Richard; Rutz, Christian

2015-01-01

Social-network dynamics have profound consequences for biological processes such as information flow, but are notoriously difficult to measure in the wild. We used novel transceiver technology to chart association patterns across 19 days in a wild population of the New Caledonian crow—a tool-using species that may socially learn, and culturally accumulate, tool-related information. To examine the causes and consequences of changing network topology, we manipulated the environmental availability of the crows' preferred tool-extracted prey, and simulated, in silico, the diffusion of information across field-recorded time-ordered networks. Here we show that network structure responds quickly to environmental change and that novel information can potentially spread rapidly within multi-family communities, especially when tool-use opportunities are plentiful. At the same time, we report surprisingly limited social contact between neighbouring crow communities. Such scale dependence in information-flow dynamics is likely to influence the evolution and maintenance of material cultures. PMID:26529116

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.

El Silencio: a rural community of learners and media creators.

PubMed

Urrea, Claudia

2010-01-01

A one-to-one learning environment, where each participating student and the teacher use a laptop computer, provides an invaluable opportunity for rethinking learning and studying the ways in which children can program computers and learn to think about their own thinking styles and become epistemologists. This article presents a study done in a rural school in Costa Rica in which students used computers to create media. Three important components of the work are described: (1) student-owned technology that can accompany students as they interact at home and in the broader community, (2) activities that are designed with sufficient scope to encourage the appropriation of powerful ideas, and (3) teacher engagement in activity design with simultaneous support from a knowledge network of local and international colleagues and mentors.

The new and improved learning community at Johns Hopkins University School of Medicine resembles that at Hogwarts School of Witchcraft and Wizardry.

PubMed

Stewart, Rosalyn W; Barker, Allison R; Shochet, Robert B; Wright, Scott M

2007-05-01

In July 2005, a learning community was created at Johns Hopkins University School of Medicine (JHUSOM) to foster camaraderie, networking, advising, mentoring, professionalism, clinical skills, and scholarship--The Colleges. The cultural and structural changes that emerged with the creation of this program have resulted in JHUSOM bearing a resemblance to J. K. Rowling's fictional Hogwarts School of Witchcraft and Wizardry. This manuscript will describe the similarities between these two revered schools, and highlight the innovations and improvements made to JHUSOM's learning environment. The intense, stressful, and lengthy professional training required to achieve competency in the practice of medicine and in the practice of witchcraft (albeit fictional) have meaningful parallels. The supportive learning environment at these two schools should afford the next generation of graduates to have an even more enriching experience than those who have come before them.

Getting into the GROOVE: How Building Effective Education Partnerships and Promoting Authentic Student Research through the Girls' Remotely Operated Ocean Vehicle Exploration (GROOVE) Workshop.

NASA Astrophysics Data System (ADS)

Pelz, M.; Heesemann, M.; Hoeberechts, M.

2017-12-01

This presentation outlines the pilot year of Girls' Remotely Operated Ocean Vehicle Exploration or GROOVE, a hands-on learning program created collaboratively with education partners Ocean Networks Canada and St. Margaret's School (Victoria, BC, Canada). The program features student-led activities, authentic student experiences, clearly outlined learning outcomes, teacher and student self-assessment tools, and curriculum-aligned content. Presented through the lens of STEM, students build a modified Seaperch ROV and explore and research thematic scientific concepts such as buoyancy, electronic circuitry, and deep-sea exploration. Further, students learn engineering skills such as isotropic scaling, soldering, and assembly as they build their ROV. Ocean Networks Canada (ONC), an initiative of the University of Victoria, develops, operates, and maintains cabled ocean observatory systems. These include technologies developed on the world-leading NEPTUNE and VENUS observatories and the ever-expanding network of community observatories in the Arctic and coastal British Columbia. These observatories, large and small, enable communities, users, scientists, teachers, and students to monitor real-time and historical data from the local marine environment from anywhere on the globe. GROOVE, Girls' Remotely Operated Ocean Vehicle Exploration, is ONC's newest educational program and is related to their foundational program K-12 Ocean Sense educational program. This presentation will share our experiences developing, refining, and assessing our efforts to implement GROOVE using a train-the-trainer model aimed at formal and informal K-12 educators. We will highlight lessons learned from multiple perspectives (students, participants, developers, and mentors) with the intent of informing future education and outreach initiatives.

The impact of a living learning community on first-year engineering students

NASA Astrophysics Data System (ADS)

Flynn, Margaret A.; Everett, Jess W.; Whittinghill, Dex

2016-05-01

The purpose of this study was to investigate the impact of an engineering living and learning community (ELC) on first-year engineering students. A control group of non-ELC students was used to compare the experiences of the ELC participants. Analysis of survey data showed that there was significant differences between the ELC students and the non-ELC students in how they responded to questions regarding social support, academic support, connectedness to campus, and satisfaction with the College of Engineering and the institution as a whole. Particularly, there were significant differences between ELC and non-ELC students for questions related to feeling like part of an engineering community, having strong relationships with peers, belonging to a supportive peer network, studying with engineering peers, and spending time with classmates outside of class.

An introduction to deep learning on biological sequence data: examples and solutions.

PubMed

Jurtz, Vanessa Isabell; Johansen, Alexander Rosenberg; Nielsen, Morten; Almagro Armenteros, Jose Juan; Nielsen, Henrik; Sønderby, Casper Kaae; Winther, Ole; Sønderby, Søren Kaae

2017-11-15

Deep neural network architectures such as convolutional and long short-term memory networks have become increasingly popular as machine learning tools during the recent years. The availability of greater computational resources, more data, new algorithms for training deep models and easy to use libraries for implementation and training of neural networks are the drivers of this development. The use of deep learning has been especially successful in image recognition; and the development of tools, applications and code examples are in most cases centered within this field rather than within biology. Here, we aim to further the development of deep learning methods within biology by providing application examples and ready to apply and adapt code templates. Given such examples, we illustrate how architectures consisting of convolutional and long short-term memory neural networks can relatively easily be designed and trained to state-of-the-art performance on three biological sequence problems: prediction of subcellular localization, protein secondary structure and the binding of peptides to MHC Class II molecules. All implementations and datasets are available online to the scientific community at https://github.com/vanessajurtz/lasagne4bio. skaaesonderby@gmail.com. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Identifying and describing patients' learning experiences towards self-management of bipolar disorders: a phenomenological study.

PubMed

Van den Heuvel, S C G H; Goossens, P J J; Terlouw, C; Van Achterberg, T; Schoonhoven, L

2015-12-01

Existing evidence suggest that patient education in promoting self-management strategies of bipolar disorder (BD) is effective. However, results across the full range of service users with BD vary. Learning experiences of service users look to be a crucial factor to take into account when designing, delivering, and evaluating effective interventions that promote self-management in chronic illness. What learning activities service users actually undertake themselves when self-managing BD that might explain varying success rates, and guide future self-management educational programmes has not been examined. Unlike previous studies that suggest that outcomes in self-management depend on individual learning activities, the current study found that learning to self-manage BD takes place in a social network that functions as a learning environment in which it is saved for service users to make mistakes and to learn from these mistakes. Especially, coping with the dormant fear of a recurrent episode and acknowledging the limitations of an individual approach are important factors that facilitate this learning process. Practitioners who provide patient education in order to promote self-management of BD should tailor future interventions that facilitate learning by reflecting on the own experiences of service users. Community psychiatric nurses should keep an open discussion with service users and caregivers, facilitate the use of a network, and re-label problems into learning situations where both play an active role in building mutual trust, thereby enhancing self-management of BD. Existing evidence suggest that self-management education of bipolar disorder (BD) is effective. However, why outcomes differ across the full range of service users has not been examined. This study describes learning experiences of service users in self-managing BD that provide a possible explanation for this varying effectiveness. We have conducted a phenomenological study via face-to-face, in-depth interviews, guided by a topic list, along service users with BD I or II (n = 16) in three specialised community care clinics across the Netherlands. Interviews were digitally recorded and transcribed verbatim prior to analysis in Atlas.ti 7. Unlike existing studies, which suggest that individual abilities of service users determine outcomes in self-management of BD, the current study found that self-management of BD is a learning process that takes place in a collaborative network. We identified five categories: acknowledgment of having BD, processing the information load, illness management, reflecting on living with BD, and self-management of BD. The success of self-management depends on the acknowledgment of individual limitations in learning to cope with BD and willingness to use a social network as a back-up instead. Especially, the dormant fear of a recurrent episode is a hampering factor in this learning process. © 2015 John Wiley & Sons Ltd.

A Community Network of 100 Black Carbon Sensors

NASA Astrophysics Data System (ADS)

Preble, C.; Kirchstetter, T.; Caubel, J.; Cados, T.; Keeling, C.; Chang, S.

2017-12-01

We developed a low-cost black carbon sensor, field tested its performance, and then built and deployed a network of 100 sensors in West Oakland, California. We operated the network for 100 days beginning mid-May 2017 to measure spatially resolved black carbon concentrations throughout the community. West Oakland is a San Francisco Bay Area mixed residential and industrial community that is adjacent to regional port and rail yard facilities and surrounded by major freeways. As such, the community is affected by diesel particulate matter emissions from heavy-duty diesel trucks, locomotives, and ships associated with freight movement. In partnership with Environmental Defense Fund, the Bay Area Air Quality Management District, and the West Oakland Environmental Indicators Project, we deployed the black carbon monitoring network outside of residences and business, along truck routes and arterial streets, and at upwind locations. The sensor employs the filter-based light transmission method to measure black carbon and has good precision and correspondence with current commercial black carbon instruments. Throughout the 100-day period, each of the 100 sensors transmitted data via a cellular network. A MySQL database was built to receive and manage the data in real-time. The database included diagnostic features to monitor each sensor's operational status and facilitate the maintenance of the network. Spatial and temporal patterns in black carbon concentrations will be presented, including patterns around industrial facilities, freeways, and truck routes, as well as the relationship between neighborhood concentrations and the BAAQMD's monitoring site. Lessons learned during this first of its kind black carbon monitoring network will also be shared.

75 FR 78681 - Renewal of a Currently Approved Information Collection

Federal Register 2010, 2011, 2012, 2013, 2014

2010-12-16

..., Monday through Friday. The purpose of the National Conference on Volunteering and Service (NCVS) is to... service and volunteering community. This conference provides learning and networking experiences through... concerning the Assessment of the National Conference on Volunteering and Service (formerly known as...

International learning on increasing the value and effectiveness of primary care (I LIVE PC) New Zealand.

PubMed

Goodyear-Smith, Felicity; Gauld, Robin; Cumming, Jacqueline; O'Keefe, Bev; Pert, Harry; McCormack, Paul

2012-03-01

New Zealand (NZ) has a central government-driven, tax-funded health system with the state as dominant payer. The NZ experience precedes and endorses the US concept of patient-centered medical homes providing population-based, nonepisodic care supported by network organizations. These networks provide administration, budget holding, incentivized programs, data feedback, peer review, education, human relations, and health information technology support and resources. Key elements include enrolled populations; an interdisciplinary team approach; health information technology interoperability and access between all providers as well as patients; devolution of hospital-based services into the community; intersectorial integration; blended payments (a combination of universal capitated funding, patient copayments, and targeted fee-for-service for specific items); and a balance of clinical, corporate, and community governance. In this article, we discuss reforms to NZ's primary care arrangements over the past 2 decades and reflect on the lessons learned, their relevance to the United States, and issues that remain to be resolved.

Ocean Sense: Student-Led, Real-Time Research at the Bottom of the Ocean - Without Leaving the Classroom

NASA Astrophysics Data System (ADS)

Pelz, M.; Hoeberechts, M.; McLean, M. A.; Riddell, D. J.; Ewing, N.; Brown, J. C.

2016-12-01

This presentation outlines the authentic research experiences created by Ocean Networks Canada's Ocean Sense program, a transformative education program that connects students and teachers with place-based, real-time data via the Internet. This program, developed in collaboration with community educators, features student-centric activities, clearly outlined learning outcomes, assessment tools and curriculum aligned content. Ocean Networks Canada (ONC), an initiative of the University of Victoria, develops, operates, and maintains cabled ocean observatory systems. Technologies developed on the world-leading NEPTUNE and VENUS observatories have been adapted for small coastal installations called "community observatories," which enable community members to directly monitor conditions in the local ocean environment. Data from these observatories are fundamental to lessons and activities in the Ocean Sense program. Marketed as Ocean Sense: Local observations, global connections, the program introduces middle and high school students to research methods in biology, oceanography and ocean engineering. It includes a variety of resources and opportunities to excite students and spark curiosity about the ocean environment. The program encourages students to connect their local observations to global ocean processes and the observations of students in other geographic regions. Connection to place and local relevance of the program is enhanced through an emphasis on Indigenous and place-based knowledge. The program promotes of cross-cultural learning with the inclusion of Indigenous knowledge of the ocean. Ocean Sense provides students with an authentic research experience by connecting them to real-time data, often within their own communities. Using the freely accessible data portal, students can curate the data they need from a range of instruments and time periods. Further, students are not restricted to their local community; if their question requires a greater range of data, they also have access to the other observatories in the network. Our presentation will explore the design, implementation and lessons learned from the ongoing development of the Ocean Sense program, from its inception to its current form today. Sample activities will be made available.

The Influence of Life History Milestones and Association Networks on Crop-Raiding Behavior in Male African Elephants

PubMed Central

Chiyo, Patrick I.; Moss, Cynthia J.; Alberts, Susan C.

2012-01-01

Factors that influence learning and the spread of behavior in wild animal populations are important for understanding species responses to changing environments and for species conservation. In populations of wildlife species that come into conflict with humans by raiding cultivated crops, simple models of exposure of individual animals to crops do not entirely explain the prevalence of crop raiding behavior. We investigated the influence of life history milestones using age and association patterns on the probability of being a crop raider among wild free ranging male African elephants; we focused on males because female elephants are not known to raid crops in our study population. We examined several features of an elephant association network; network density, community structure and association based on age similarity since they are known to influence the spread of behaviors in a population. We found that older males were more likely to be raiders than younger males, that males were more likely to be raiders when their closest associates were also raiders, and that males were more likely to be raiders when their second closest associates were raiders older than them. The male association network had sparse associations, a tendency for individuals similar in age and raiding status to associate, and a strong community structure. However, raiders were randomly distributed between communities. These features of the elephant association network may limit the spread of raiding behavior and likely determine the prevalence of raiding behavior in elephant populations. Our results suggest that social learning has a major influence on the acquisition of raiding behavior in younger males whereas life history factors are important drivers of raiding behavior in older males. Further, both life-history and network patterns may influence the acquisition and spread of complex behaviors in animal populations and provide insight on managing human-wildlife conflict. PMID:22347468

Organization Spotlight: The Power of an Association in Early Childhood Education and Care: ISSA--An Engine for Advocacy, Capacity Building, and Creating a Growing Learning Community

ERIC Educational Resources Information Center

Ionescu, Mihaela

2015-01-01

The International Step by Step Association (ISSA) is an association that believes in learning from each other across cultures and borders, building on each other's strengths, and tapping into the power of a network. Building on the strong legacy of the Open Society Foundations' Step by Step program, ISSA has nurtured a culture of belonging to a…

SuperSchools: Education in the Information Age and Beyond.

ERIC Educational Resources Information Center

Ameritech Foundation, Chicago, IL.

This document discusses how improvements in the capabilities of the intelligent communications network are making new enhancements and advances available to educators, administrators, students, parents, and the community, focusing on the role of Ameritech. Modern technologies can create dynamic and appropriate learning environments for children…

Educating Engaged Citizens: Four Projects from Ireland

ERIC Educational Resources Information Center

O'Flaherty, Joanne; Liddy, Mags; Tansey, Lorraine; Roche, Cathy

2011-01-01

Purpose: This paper aims to describe the four education projects that demonstrate how Irish education provision is adapting to meet social and economic changes: Ubuntu Network working to integrate education for sustainable development (ESD) into teacher education; Community Knowledge Initiative (CKI) facilitating service learning modules at higher…

Integrating Research, Teaching and Learning: Preparing the Future National STEM Faculty

NASA Astrophysics Data System (ADS)

Hooper, E. J.; Pfund, C.; Mathieu, R.

2010-08-01

A network of universities (Howard, Michigan State, Texas A&M, University of Colorado at Boulder, University of Wisconsin-Madison, Vanderbilt) have created a National Science Foundation-funded network to prepare a future national STEM (science, technology, engineering, mathematics) faculty committed to learning, implementing, and advancing teaching techniques that are effective for the wide range of students enrolled in higher education. The Center for the Integration of Research, Teaching and Learning (CIRTL; http://www.cirtl.net) develops, implements and evaluates professional development programs for future and current faculty. The programs comprise graduate courses, internships, and workshops, all integrated within campus learning communities. These elements are unified and guided by adherence to three core principles, or pillars: "Teaching as Research," whereby research skills are applied to evaluating and advancing undergraduate learning; "Learning through Diversity," in which the diversity of students' backgrounds and experiences are used as a rich resource to enhance teaching and learning; and "Learning Communities" that foster shared learning and discovery among students, and between future and current faculty within a department or institution. CIRTL established a laboratory for testing its ideas and practices at the University of Wisconsin-Madison, known as the Delta Program in Research, Teaching and Learning (http://www.delta.wisc.edu). The program offers project-based graduate courses, research mentor training, and workshops for post-docs, staff, and faculty. In addition, graduate students and post-docs can partner with a faculty member in a teaching-as-research internship to define and tackle a specific teaching and learning problem. Finally, students can obtain a Delta Certificate as testimony to their engagement in and commitment to teaching and learning. Delta has proved very successful, having served over 1500 UW-Madison instructors from graduate students to full professors. UW-Madison values the program to the point of now funding it internally.

SCENERY: a web application for (causal) network reconstruction from cytometry data.

PubMed

Papoutsoglou, Georgios; Athineou, Giorgos; Lagani, Vincenzo; Xanthopoulos, Iordanis; Schmidt, Angelika; Éliás, Szabolcs; Tegnér, Jesper; Tsamardinos, Ioannis

2017-07-03

Flow and mass cytometry technologies can probe proteins as biological markers in thousands of individual cells simultaneously, providing unprecedented opportunities for reconstructing networks of protein interactions through machine learning algorithms. The network reconstruction (NR) problem has been well-studied by the machine learning community. However, the potentials of available methods remain largely unknown to the cytometry community, mainly due to their intrinsic complexity and the lack of comprehensive, powerful and easy-to-use NR software implementations specific for cytometry data. To bridge this gap, we present Single CEll NEtwork Reconstruction sYstem (SCENERY), a web server featuring several standard and advanced cytometry data analysis methods coupled with NR algorithms in a user-friendly, on-line environment. In SCENERY, users may upload their data and set their own study design. The server offers several data analysis options categorized into three classes of methods: data (pre)processing, statistical analysis and NR. The server also provides interactive visualization and download of results as ready-to-publish images or multimedia reports. Its core is modular and based on the widely-used and robust R platform allowing power users to extend its functionalities by submitting their own NR methods. SCENERY is available at scenery.csd.uoc.gr or http://mensxmachina.org/en/software/. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

CoCoRaHS (The Community Collaborative Rain, Hail and Snow Network): Analysis of Participant Survey Data to Uncover Learning through Participation

NASA Astrophysics Data System (ADS)

Holzer, M. A.; Zimmerman, T.; Doesken, N. J.; Reges, H. W.; Newman, N.; Turner, J.; Schwalbe, Z.

2010-12-01

CoCoRaHS (The Community Collaborative Rain, Hail and Snow network) is based out of Fort Collins Colorado and is an extremely successful citizen science project with over 15,000 volunteers collecting valuable precipitation data. Forecasters and scientists use data from this dense network to illuminate and illustrate the high small-scale variability of precipitation across the nation. This presentation will discuss the results of a survey of CoCoRaHS participants as related to 1) citizen scientists’ motivation and learning; 2) the challenges of identifying how people learn science in citizen science projects; and 3) a potential research-based framework for how people learn through engaging in the data collection within in a citizen science project. A comprehensive survey of 14,500 CoCoRaHS observers was recently conducted to uncover participant perceptions of numerous aspects of the CoCoRaHS program, including its goal of increasing climate literacy. The survey yielded a response rate of over 50%, and included measures of motivation, engagement and learning. In relationship to motivation and learning, the survey revealed that most (57.1%) observers would make precipitation observations regardless of being a CoCoRaHS volunteer, therefore their motivation is related to their inherent level of interest in weather. Others are motivated by their desire to learn more about weather and climate, they want to contribute to a scientific project, they think its fun, and/or it provides a sense of community. Because so many respondents already had knowledge and interest in weather and climate, identifying how and what people learn through participating was a challenge. However, the narrow project focus of collecting and reporting of local precipitation assisted in identifying aspects of learning. For instance, most (46.4%) observers said they increased their knowledge about the local variability in precipitation even though they had been collecting precipitation data for many years. Because the focus of the survey was to solicit participant opinions and not question their content knowledge, we were limited in our ability to unpack the issue of how people learn while engaging in the project. The next phase of this study will use a theoretical framework shaped from research in the learning sciences and based on social cognition and conceptual change to question a small subset of the volunteers about the data they collect. Citizen science projects such as CoCoRaHS provide a win-win situation for project scientists and participants. Project scientists gather necessary data for their studies, and motivated participants gain skills and knowledge related to the science content and science practices employed in the project. We discuss how these survey results can be applied to similar projects where learning is a key goal for their volunteers. We also discuss pathways for future research to identify aspects of scientific learning in the context of citizen science projects.

Use of webboards for distance learning: a physical therapy model.

PubMed

Teyhen, D S; Flynn, T; Allison, S

2001-04-01

In today's world of ever-increasing knowledge and technology, mastering the use of information is critical for success. U.S. Army physical therapists have successfully used the Knowledge Management Network as a tool to foster communication, education, and training. The model outlined in this article can serve both as a model for promoting distance learning and as a success story of how to merge today's technology with the medical community to improve productivity and communication.

International School Health Network: an informal network for advocacy and knowledge exchange.

PubMed

McCall, Douglas S; Rootman, Irving; Bayley, Dale

2005-01-01

In Canada, researchers, policy-makers and non-governmental organisations have re-conceptualized the school setting as being an ecological entity, linked to parallel ecologies of the homes and the community it serves. The school, public health and other systems that seek to deliver programs in that setting are open, loosely coupled and bureaucratic. This reconceived view of the school as a setting for health promotion leads to an emphasis on building organizational, system, professional and community capacity. One of the most effective ways of building such capacities when resources are scarce is to invest in a variety of formal and informal networks that can sustain themselves with little or no external resources. A number of recognised researchers from the health and education sectors have emphasized this systems-based approach and the need to build supportive, small-scale networks or learning communities. In recent health promotion research, networking at various levels, across sectors and within communities is viewed as a key strategy within new, more effective health promotion strategies. In education, the notion of networking for educational change has been described as "learning communities" for continuous school improvement. The authors suggest that this strategy of networking be used at the international level to address several global challenges: There is no single, convenient way to obtain basic information about the status and nature of national and state/provincial school health programs around the world. There is no global research agenda in school health promotion, despite the obvious value of sharing such research and knowledge. There is no global mechanism to facilitate the development of common or shared tools for surveillance of child/youth health and monitoring of school health policies and programs, despite the excellent work being done in individual countries and by the European Network of Health Promoting Schools. There is no international mechanism with a focus on school health that brings together the following stakeholders: educational organisations with public health organisations; researchers with government officials and practitioners; those who work in Spanish, English, French and other languages; issue-specific networks with health generalists. An invitation is given to government officials, researchers and national school health associations to join an informal International School Health Network (ISHN) (soon available at: www.internationalschoolhealt.org). Discussions about the formation of the ISHN have been held with a number of participants at several international meetings and have culminated in a fledgling network that will focus on electronic and web-based exchanges of information, developing a global school health research agenda, exchanging effective materials and tools, informing policy-makers about effective practices, policies and programs. This network would build on and not duplicate the work of existing networks and include participation from WHO, OECD, UNESCO, the IUHPE and the World Bank. The next large meeting of the ISHN will occur at the IUHPE 2007 Conference in Vancouver, Canada (www.iuhpe conference.org). Before then the ISHN will organise several on-line projects and teleconferences. For more information, contact dmccall@jcsh-cces.ca.

Clean Cities Roadmap : A resource for developing, implementing, and sustaining your clean cities program

DOT National Transportation Integrated Search

2001-08-01

This roadmap explains how your community can join forces with the nationwide network of Clean Cities to increase the use of alternative fuels and alternative fuel vehicles (AFVs). You will learn how the U.S. Department of Energy (DOE) can help your c...

After High School: The Status of Youth with Emotional and Behavioral Disorders.

ERIC Educational Resources Information Center

Walker, Rhonda; Bunsen, Teresa D.

1995-01-01

This literature review examined the current status of young adults with emotional/behavioral disorders (EBD) two to five years after leaving high school, in employment, residential environment, social and interpersonal networks, dependency, and learned helplessness. Suggestions for school-implemented community adjustment programs are offered. (DB)

Processes and Planning Structure Required for Implementing a Collegewide Area Network.

ERIC Educational Resources Information Center

Lapenta, Susan; Lutz, Todd

Since 1984, Arizona's Mohave Community College (MCC) has implemented innovative educational technology to better serve students, including an instructional television system to serve remote locations and a distance learning program. In 1993, the college initiated a project to upgrade its technological capabilities through the establishment of a…

Utilizing Professional Learning Community Concepts and Social Networking for State Advocacy: The Arkansas Case

ERIC Educational Resources Information Center

Albritton, Shelly; Chadwick, Mona; Bangs, David; Holt, Carleton; Longing, Jeff; Duyar, Ibrihim

2016-01-01

This article provides an overview of National Council of Professors of Educational Administration (NCPEA) state affiliate, Arkansas Professors of Educational Administration's (ARPEA), activities, accomplishments, and advocacy efforts. Faced with numerous changes being implemented in education in the state, it became imperative for ARPEA's…

The New Literacies: Multiple Perspectives on Research and Practice

ERIC Educational Resources Information Center

Baker, Elizabeth A., Ed.

2010-01-01

With contributions from leading scholars, this compelling volume offers fresh insights into literacy teaching and learning--and the changing nature of literacy itself--in today's K-12 classrooms. The focus is on varied technologies and literacies such as social networking sites, text messaging, and online communities. Cutting-edge approaches to…

Early Childhood Education: Babies Are Everybody's Business

ERIC Educational Resources Information Center

Cox, Kitt

2009-01-01

A movement is building that favors creating a national network of high-quality early education and care systems that begin at birth. It makes sense. Promoting positive early learning experiences, healthy caregivers, and a connection between families and community resources can reverse rising rates of expulsion, high school dropouts, and the need…

Shifting Interests: Changes in the Lexical Semantics of ED-MEDIA

ERIC Educational Resources Information Center

Wild, Fridolin; Valentine, Chris; Scott, Peter

2010-01-01

Large research networks naturally form complex communities with overlapping but not identical expertise. To map the distribution of professional competence in field of "technology-enhanced learning", the lexical semantics expressed in research articles published in a representative, large-scale conference (ED-MEDIA) can be investigated and changes…

Parent Social Networks and Parent Responsibility: Implications for School Leadership

ERIC Educational Resources Information Center

Curry, Katherine A.; Adams, Curt M.

2014-01-01

Family-school partnerships are difficult to initiate and sustain in ways that actually promote student learning, especially in high-poverty communities. This quantitative study was designed to better understand how social forces shape parent responsibility in education. Based on social cognitive theory as the conceptual framework, the…

[Networks of experiences on community health as an information system in health promotion: lessons learned in Aragon (Spain)].

PubMed

Gállego-Diéguez, Javier; Aliaga Traín, Pilar; Benedé Azagra, Carmen Belén; Bueno Franco, Manuel; Ferrer Gracia, Elisa; Ipiéns Sarrate, José Ramón; Muñoz Nadal, Pilar; Plumed Parrilla, Manuela; Vilches Urrutia, Begoña

2016-11-01

Networks of community health experiences promote interaction and knowledge management in health promotion among their participants. These networks integrate both professionals and social agents who work directly on the ground in small environments, with defined objectives and inclusion criteria and voluntary participation. In this article, networks in Aragon (Spain) are reviewed in order to analyse their role as an information system. The Health Promotion Projects Network of Aragon (Red Aragonesa de Proyectos de Promoción de la Salud, RAPPS) was launched in 1996 and currently includes 73 projects. The average duration of projects is 12.7 years. RAPPS interdisciplinary teams involve 701 people, of which 89.6% are professionals and 10.6% are social agents. The Aragon Health Promoting Schools Network (Red Aragonesa de Escuelas Promotoras de Salud, RAEPS) integrates 134 schools (24.9% of Aragon). The schools teams involve 829 teachers and members of the school community, students (35.2%), families (26.2%) and primary care health professionals (9.8%). Experiences Networks boost citizen participation, have an influence in changing social determinants and contribute to the formulation of plans and regional strategies. Networks can provide indicators for a health promotion information and monitoring system on: capacity building services in the territory, identifying assets and models of good practice, cross-sectoral and equity initiatives. Experiences Networks represent an opportunity to create a health promotion information system, systematising available information and establishing quality criteria for initiatives. Copyright © 2016 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

Modeling Temporal Variation in Social Network: An Evolutionary Web Graph Approach

NASA Astrophysics Data System (ADS)

Mitra, Susanta; Bagchi, Aditya

A social network is a social structure between actors (individuals, organization or other social entities) and indicates the ways in which they are connected through various social relationships like friendships, kinships, professional, academic etc. Usually, a social network represents a social community, like a club and its members or a city and its citizens etc. or a research group communicating over Internet. In seventies Leinhardt [1] first proposed the idea of representing a social community by a digraph. Later, this idea became popular among other research workers like, network designers, web-service application developers and e-learning modelers. It gave rise to a rapid proliferation of research work in the area of social network analysis. Some of the notable structural properties of a social network are connectedness between actors, reachability between a source and a target actor, reciprocity or pair-wise connection between actors with bi-directional links, centrality of actors or the important actors having high degree or more connections and finally the division of actors into sub-structures or cliques or strongly-connected components. The cycles present in a social network may even be nested [2, 3]. The formal definition of these structural properties will be provided in Sect. 8.2.1. The division of actors into cliques or sub-groups can be a very important factor for understanding a social structure, particularly the degree of cohesiveness in a community. The number, size, and connections among the sub-groups in a network are useful in understanding how the network, as a whole, is likely to behave.

Disjointed Ways, Disunified Means: Learning From America’s Struggle to Build an Afghan Nation

DTIC Science & Technology

2012-05-01

unify- ing the intelligence community with a new National Intelligence Director, and creating a network-based information -sharing system. The...no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control... a monthly e-mail newsletter to update the national security community on the re- search of our analysts, recent and forthcoming publications, and

Patients, practices, and relationships: challenges and lessons learned from the Kentucky Ambulatory Network (KAN) CaRESS clinical trial.

PubMed

Love, Margaret M; Pearce, Kevin A; Williamson, M Ann; Barron, Mary A; Shelton, Brent J

2006-01-01

The Cardiovascular Risk Education and Social Support (CaRESS) study is a randomized controlled trial that evaluates a social support intervention toward reducing cardiovascular risk in type 2 diabetic patients. It involves multiple community-based practice sites from the Kentucky Ambulatory Network (KAN), which is a regional primary care practice-based research network (PBRN). CaRESS also implements multiple modes of data collection. The purpose of this methods article is to share lessons learned that might be useful to others developing or implementing complex studies that consent patients in PBRNs. Key points include building long-term relationships with the clinicians, adaptability when integrating into practice sites, adequate funding to support consistent data management and statistical support during all phases of the study, and creativity and perseverance for recruiting patients and practices while maintaining the integrity of the protocol.

Structure constrained by metadata in networks of chess players.

PubMed

Almeira, Nahuel; Schaigorodsky, Ana L; Perotti, Juan I; Billoni, Orlando V

2017-11-09

Chess is an emblematic sport that stands out because of its age, popularity and complexity. It has served to study human behavior from the perspective of a wide number of disciplines, from cognitive skills such as memory and learning, to aspects like innovation and decision-making. Given that an extensive documentation of chess games played throughout history is available, it is possible to perform detailed and statistically significant studies about this sport. Here we use one of the most extensive chess databases in the world to construct two networks of chess players. One of the networks includes games that were played over-the-board and the other contains games played on the Internet. We study the main topological characteristics of the networks, such as degree distribution and correlations, transitivity and community structure. We complement the structural analysis by incorporating players' level of play as node metadata. Although both networks are topologically different, we show that in both cases players gather in communities according to their expertise and that an emergent rich-club structure, composed by the top-rated players, is also present.

Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data.

PubMed

Alakwaa, Fadhl M; Chaudhary, Kumardeep; Garmire, Lana X

2018-01-05

Metabolomics holds the promise as a new technology to diagnose highly heterogeneous diseases. Conventionally, metabolomics data analysis for diagnosis is done using various statistical and machine learning based classification methods. However, it remains unknown if deep neural network, a class of increasingly popular machine learning methods, is suitable to classify metabolomics data. Here we use a cohort of 271 breast cancer tissues, 204 positive estrogen receptor (ER+), and 67 negative estrogen receptor (ER-) to test the accuracies of feed-forward networks, a deep learning (DL) framework, as well as six widely used machine learning models, namely random forest (RF), support vector machines (SVM), recursive partitioning and regression trees (RPART), linear discriminant analysis (LDA), prediction analysis for microarrays (PAM), and generalized boosted models (GBM). DL framework has the highest area under the curve (AUC) of 0.93 in classifying ER+/ER- patients, compared to the other six machine learning algorithms. Furthermore, the biological interpretation of the first hidden layer reveals eight commonly enriched significant metabolomics pathways (adjusted P-value <0.05) that cannot be discovered by other machine learning methods. Among them, protein digestion and absorption and ATP-binding cassette (ABC) transporters pathways are also confirmed in integrated analysis between metabolomics and gene expression data in these samples. In summary, deep learning method shows advantages for metabolomics based breast cancer ER status classification, with both the highest prediction accuracy (AUC = 0.93) and better revelation of disease biology. We encourage the adoption of feed-forward networks based deep learning method in the metabolomics research community for classification.

Workshop targets development of geodetic transient detection methods: 2009 SCEC Annual Meeting: Workshop on transient anomalous strain detection; Palm Springs, California, 12-13 September 2009

USGS Publications Warehouse

Murray-Moraleda, Jessica R.; Lohman, Rowena

2010-01-01

The Southern California Earthquake Center (SCEC) is a community of researchers at institutions worldwide working to improve understanding of earthquakes and mitigate earthquake risk. One of SCEC's priority objectives is to “develop a geodetic network processing system that will detect anomalous strain transients.” Given the growing number of continuously recording geodetic networks consisting of hundreds of stations, an automated means for systematically searching data for transient signals, especially in near real time, is critical for network operations, hazard monitoring, and event response. The SCEC Transient Detection Test Exercise began in 2008 to foster an active community of researchers working on this problem, explore promising methods, and combine effective approaches in novel ways. A workshop was held in California to assess what has been learned thus far and discuss areas of focus as the project moves forward.

Developing Preceptors through Virtual Communities and Networks: Experiences from a Pilot Project

PubMed Central

Ackman, Margaret L; Romanick, Marcel

2011-01-01

Background: Supporting preceptors is critical to the expansion of experiential learning opportunities for the pharmacy profession. Informal learning opportunities within communities of practitioners are important for hospital preceptors. However, such communities may be limited by geographic separation of preceptors from peers, faculty members, and supports within the pharmacy services department. Objective: To use computer-mediated conferencing to create a sense of community among preceptors, specifically by using this medium to provide initial development of and continuing support for preceptors, and to examine preceptors’ satisfaction with this approach. Methods: Thirty-nine preceptors who had completed a day-long face-to-face preceptor development workshop and who were supervising students in 1 of 2 specific rotation blocks were invited to participate in the study. The pharmacists used computer-mediated conferencing to meet for virtual networking about specific topics. They met once before the student rotation to receive instructions about the technology and to discuss student orientation and scheduling, and 3 times during the student rotation for open discussion of specific topics. Evaluation and feedback were solicited by means of an electronic survey and virtual (i.e., computer-based) feedback sessions with an independent facilitator. Results: The response rate was 66% (26/39) for the electronic survey, but only 15% (6/39) for the virtual feedback sessions. All of the respondents were experienced preceptors, but for 92% (22/24), this was their first experience with computer-mediated conferencing. Overall, the sessions had a positive reception, and participants found it useful to share information and experiences with other preceptors. The main challenges were related to the technology, perceived lack of support for their participation in the sessions, and inconvenience related to the timing of sessions. Conclusion: Computer-mediated conferencing allowed preceptors to learn from and to support each other despite geographic distance. The participants felt that these sessions encouraged them to serve as preceptors regularly. Such encouragement could contribute to the retention of preceptors, which is important to the expansion of experiential learning. PMID:22479095

Developing Preceptors through Virtual Communities and Networks: Experiences from a Pilot Project.

PubMed

Ackman, Margaret L; Romanick, Marcel

2011-11-01

Supporting preceptors is critical to the expansion of experiential learning opportunities for the pharmacy profession. Informal learning opportunities within communities of practitioners are important for hospital preceptors. However, such communities may be limited by geographic separation of preceptors from peers, faculty members, and supports within the pharmacy services department. To use computer-mediated conferencing to create a sense of community among preceptors, specifically by using this medium to provide initial development of and continuing support for preceptors, and to examine preceptors' satisfaction with this approach. Thirty-nine preceptors who had completed a day-long face-to-face preceptor development workshop and who were supervising students in 1 of 2 specific rotation blocks were invited to participate in the study. The pharmacists used computer-mediated conferencing to meet for virtual networking about specific topics. They met once before the student rotation to receive instructions about the technology and to discuss student orientation and scheduling, and 3 times during the student rotation for open discussion of specific topics. Evaluation and feedback were solicited by means of an electronic survey and virtual (i.e., computer-based) feedback sessions with an independent facilitator. The response rate was 66% (26/39) for the electronic survey, but only 15% (6/39) for the virtual feedback sessions. All of the respondents were experienced preceptors, but for 92% (22/24), this was their first experience with computer-mediated conferencing. Overall, the sessions had a positive reception, and participants found it useful to share information and experiences with other preceptors. The main challenges were related to the technology, perceived lack of support for their participation in the sessions, and inconvenience related to the timing of sessions. Computer-mediated conferencing allowed preceptors to learn from and to support each other despite geographic distance. The participants felt that these sessions encouraged them to serve as preceptors regularly. Such encouragement could contribute to the retention of preceptors, which is important to the expansion of experiential learning.

Developing Generic Image Search Strategies for Large Astronomical Data Sets and Archives using Convolutional Neural Networks and Transfer Learning

NASA Astrophysics Data System (ADS)

Peek, Joshua E. G.; Hargis, Jonathan R.; Jones, Craig K.

2018-01-01

Astronomical instruments produce petabytes of images every year, vastly more than can be inspected by a member of the astronomical community in search of a specific population of structures. Fortunately, the sky is mostly black and source extraction algorithms have been developed to provide searchable catalogs of unconfused sources like stars and galaxies. These tools often fail for studies of more diffuse structures like the interstellar medium and unresolved stellar structures in nearby galaxies, leaving astronomers interested in observations of photodissociation regions, stellar clusters, diffuse interstellar clouds without the crucial ability to search. In this work we present a new path forward for finding structures in large data sets similar to an input structure using convolutional neural networks, transfer learning, and machine learning clustering techniques. We show applications to archival data in the Mikulski Archive for Space Telescopes (MAST).

Refining process of nursing skill movie manual by peer comments of social network system.

PubMed

Majima, Yukie; Maekawa, Yasuko; Shimada, Satoshi; Izumi, Takako

2014-01-01

The nursing practical knowledge represented by nursing skill is highly tacit and is therefore difficult to verbalize. The purpose of this study is to build a new learning community for nursing education (nursing social e-learning model) that is refined and developed autonomously and continuously. We used the social network system (SNS) that can be participated in a variety of stakeholder of medical personnel in order to hear comments for the content of learning to practice nursing skill. We had the nurses make the nursing skill movie manual. Through this process to get the opinions about the movie contents from others, we inspected what kind of opinions and feelings occurred to the nurses. As a result, the nurses were able to see objectively the own nursing skills, to do self-reflection. They had the awareness to improve the nursing skills.

CSWP Networking Reception

NASA Astrophysics Data System (ADS)

Unwind after a long day of sessions by networking with women physicists from the APS Committee on the Status of Women in Physics and members of the APS Panel on Public Affairs (POPA). Cocktails and conversation will flow as we learn about the recently approved APS Statement on the Status of Women in Physics; a POPA study underway, designed to evaluate what top universities are doing to address gender disparity in undergraduate physics programs; and initiatives & programs designed to attract, retain, develop, and support the female physicists in our community.

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

NASA Astrophysics Data System (ADS)

Ball, John E.; Anderson, Derek T.; Chan, Chee Seng

2017-10-01

In recent years, deep learning (DL), a rebranding of neural networks (NNs), has risen to the top in numerous areas, namely computer vision (CV), speech recognition, and natural language processing. Whereas remote sensing (RS) possesses a number of unique challenges, primarily related to sensors and applications, inevitably RS draws from many of the same theories as CV, e.g., statistics, fusion, and machine learning, to name a few. This means that the RS community should not only be aware of advancements such as DL, but also be leading researchers in this area. Herein, we provide the most comprehensive survey of state-of-the-art RS DL research. We also review recent new developments in the DL field that can be used in DL for RS. Namely, we focus on theories, tools, and challenges for the RS community. Specifically, we focus on unsolved challenges and opportunities as they relate to (i) inadequate data sets, (ii) human-understandable solutions for modeling physical phenomena, (iii) big data, (iv) nontraditional heterogeneous data sources, (v) DL architectures and learning algorithms for spectral, spatial, and temporal data, (vi) transfer learning, (vii) an improved theoretical understanding of DL systems, (viii) high barriers to entry, and (ix) training and optimizing the DL.

A community of practice for knowledge translation trainees: an innovative approach for learning and collaboration.

PubMed

Urquhart, Robin; Cornelissen, Evelyn; Lal, Shalini; Colquhoun, Heather; Klein, Gail; Richmond, Sarah; Witteman, Holly O

2013-01-01

A growing number of researchers and trainees identify knowledge translation (KT) as their field of study or practice. Yet, KT educational and professional development opportunities and established KT networks remain relatively uncommon, making it challenging for trainees to develop the necessary skills, networks, and collaborations to optimally work in this area. The Knowledge Translation Trainee Collaborative is a trainee-initiated and trainee-led community of practice established by junior knowledge translation researchers and practitioners to: examine the diversity of knowledge translation research and practice, build networks with other knowledge translation trainees, and advance the field through knowledge generation activities. In this article, we describe how the collaborative serves as an innovative community of practice for continuing education and professional development in knowledge translation and present a logic model that provides a framework for designing an evaluation of its impact as a community of practice. The expectation is that formal and informal networking will lead to knowledge sharing and knowledge generation opportunities that improve individual members' competencies (eg, combination of skills, abilities, and knowledge) in knowledge translation research and practice and contribute to the development and advancement of the knowledge translation field. Copyright © 2013 The Alliance for Continuing Education in the Health Professions, the Society for Academic Continuing Medical Education, and the Council on CME, Association for Hospital Medical Education.

Social network size can influence linguistic malleability and the propagation of linguistic change.

PubMed

Lev-Ari, Shiri

2018-07-01

We learn language from our social environment, but the more sources we have, the less informative each source is, and therefore, the less weight we ascribe its input. According to this principle, people with larger social networks should give less weight to new incoming information, and should therefore be less susceptible to the influence of new speakers. This paper tests this prediction, and shows that speakers with smaller social networks indeed have more malleable linguistic representations. In particular, they are more likely to adjust their lexical boundary following exposure to a new speaker. Experiment 2 uses computational simulations to test whether this greater malleability could lead people with smaller social networks to be important for the propagation of linguistic change despite the fact that they interact with fewer people. The results indicate that when innovators were connected with people with smaller rather than larger social networks, the population exhibited greater and faster diffusion. Together these experiments show that the properties of people's social networks can influence individuals' learning and use as well as linguistic phenomena at the community level. Copyright © 2018 Elsevier B.V. All rights reserved.

A systematic review on US-based community health navigator (CHN) interventions for cancer screening promotion--comparing community- versus clinic-based navigator models.

PubMed

Hou, Su-I; Roberson, Kiersten

2015-03-01

This study synthesized lessons learned from US-based community and clinic health navigator (CHN) interventions on cancer screening promotion to identify characteristics of models and approaches for addressing cancer disparities. The combination terms "cancer screening" and "community health workers or navigators" or "patient navigators" were used in searching Medline, CINAHL, and PsycInfo. A total of 27 articles published during January 2005∼April 2014 were included. Two CHN models were identified: community-based (15 studies) and clinic/hospital-based (12 studies). While both models used the term "navigators," most community-based programs referred them as community health workers/navigators/advisors, whereas clinic-based programs often called them patient navigators. Most community-based CHN interventions targeted specific racial/ethnic minority or rural groups, while clinic-based programs mostly targeted urban low income or mixed ethnic groups. Most community-based CHN programs outreached members from community networks, while clinic-based programs commonly worked with pre-identified in-service clients. Overall, regardless model type, CHNs had similar roles and responsibilities, and interventions demonstrated effective outcomes. Our review identified characteristics of CHN interventions with attention to different settings. Lessons learned have implication on the dissemination and implementation of CHN interventions for cancer screening promotion across setting and target groups.

The professional learning community as perceived by Israeli school superintendents, principals and teachers

NASA Astrophysics Data System (ADS)

Schechter, Chen

2012-12-01

A professional learning community (PLC) facilitates collaborative learning among colleagues at all levels in their common working environment. PLCs are particularly useful in schools, with teachers and principals meeting regularly to solve problems relating to teaching and learning. Being a means of improving student achievement, PLCs have received growing support from researchers and practitioners alike, yet some professionals are still exploring ways to develop learning networks focusing on teaching and learning issues. The purpose of this study was to examine Israeli teachers', principals', and superintendents' perceptions of inhibiting and fostering factors of the PLC. In this qualitative, topic-oriented study, face-to-face interviews were conducted with 15 teachers from elementary, middle and secondary schools and their respective principals (15) and superintendents (15). Generating themes was inductive, grounded in the perspectives articulated by participants. The principals and the teachers indicated that overload, a lack of resources and top-down commands were PLC-inhibiting factors. The superintendents saw the principal's leadership style as a main PLC-fostering factor. Understanding how these three echelons in the school system perceive the inhibiting and fostering factors of a PLC could indicate whether and how this collaborative learning process can be nurtured and sustained in schools.

A new method for developing compassionate communities and cities movement-"Todos Contigo" Programme (We are All With You): experience in Spain and Latin America countries.

PubMed

Librada Flores, Silvia

2018-01-01

Todos Contigo (We are All With You) is a programme for social awareness, training, and implementation of care networks for citizens to support, accompany and care for those who face advanced chronic disease and end of life situations. From New Health Foundation this programme collaborates with the Public Health and Palliative Care International Charter of Compassionate Communities. It seeks to promote a new integrated palliative care model in the daily lives of individuals, to make families and health/social professionals the main promoters of compassionate communities and compassionate cities movement. This workshop aims to: (I) describe the methodology of the programme: required tools and steps for building and developing a compassionate city or community; (II) identify stakeholders and organizations to join the compassionate community as networking agents; (III) sharing experiences from the implementation of this project in various contexts while providing specific examples and lessons learned from the perspective of various roles; (IV) explain the process of becoming a part of the project and of getting the official recognition for being a compassionate city. This workshop aims to share a new methodology "Todos Contigo" (We are all with you) Programme for the development of compassionate communities and cities movement. We describe our experiences in Spain and Latin American countries. The method is based on creating community networks, carrying out social awareness and training programmes related to end of life care.

The Urban Context: A Place to Eliminate Health Disparities and Build Organizational Capacity

PubMed Central

GILBERT, KEON L.; QUINN, SANDRA CROUSE; FORD, ANGELA F.; THOMAS, STEPHEN B.

2011-01-01

This study seeks to examine the process of building the capacity to address health disparities in several urban African American neighborhoods. An inter-organizational network consisting of a research university, community members, community organizations, media partners, and foundations was formed to develop a community-based intervention designed to provide health promotion and disease prevention strategies for type 2 diabetes and hypertension. In-depth qualitative interviews (n = 18) with foundation executives and project directors, civic organization leadership, community leaders, county epidemiologist, and university partners were conducted. Our study contextualizes a process to build a public health partnership using cultural, community, organizational, and societal factors necessary to address health disparities. Results showed 5 important factors to build organizational capacity: leadership, institutional commitment, trust, credibility, and inter-organizational networks. These factors reflected other important organizational and community capacity indicators such as: community context, organizational policies, practices and structures, and the establishment of new commitments and partnerships important to comprehensively address urban health disparities. Understanding these factors to address African American health disparities will provide lessons learned for health educators, researchers, practitioners, foundations, and communities interested in building and sustaining capacity efforts through the design, implementation, and maintenance of a community-based health promotion intervention. PMID:21271434

eHealth for Remote Regions: Findings from Central Asia Health Systems Strengthening Project.

PubMed

Sajwani, Afroz; Qureshi, Kiran; Shaikh, Tehniat; Sayani, Saleem

2015-01-01

Isolated communities in remote regions of Afghanistan, Kyrgyz Republic, Pakistan and Tajikistan lack access to high-quality, low-cost health care services, forcing them to travel to distant parts of the country, bearing an unnecessary financial burden. The eHealth Programme under Central Asia Health Systems Strengthening (CAHSS) Project, a joint initiative between the Aga Khan Foundation, Canada and the Government of Canada, was initiated in 2013 with the aim to utilize Information and Communication Technologies to link health care institutions and providers with rural communities to provide comprehensive and coordinated care, helping minimize the barriers of distance and time. Under the CAHSS Project, access to low-cost, quality health care is provided through a regional hub and spoke teleconsultation network of government and non-government health facilities. In addition, capacity building initiatives are offered to health professionals. By 2017, the network is expected to connect seven Tier 1 tertiary care facilities with 14 Tier 2 secondary care facilities for teleconsultation and eLearning. From April 2013 to September 2014, 6140 teleconsultations have been provided across the project sites. Additionally, 52 new eLearning sessions have been developed and 2020 staff members have benefitted from eLearning sessions. Ethics and patient rights are respected during project implementation.

Your Face(book) and MySpace: Let's Hook Up

NASA Astrophysics Data System (ADS)

Gay, P. L.; Foster, T.

2008-06-01

In the public social network venues of MySpace and Facebook, individuals of all ages and nationalities look for like-minded online denizens with whom they can build relationships. Through social networking sites, it is possible for EPO programs to bring together diverse individuals to laugh, learn, and socialize around pet projects and favorite topics. Astronomy is popular among these people, with over 5000 members of the MySpace community listing ``astronomy'' as an interest. By building interesting MySpace and Facebook profiles for your programs, you can plug into the intellectual and social hunger of these individuals. In this workshop, we will discuss the tricks for creating an interesting profile, how to hide such weirdnesses as age and zodiacal sign, and the proper netiquette for nurturing large friends lists and building large communities. Specific emphasis will be given to using Facebook to build one-on-one relationships with program volunteers and students, and how to use MySpace as a way to distribute program announcements to large populations. We will also address the issues of contacting minors, and coping with stalkers and crazies. Come learn how to reach people who already want to learn and love the cosmos, and are just waiting to hear what you have to share.

Lessons Learned from the Evolution of an Academic Community Partnership: Creating "Patient Voices".

PubMed

Chambers, Meghan K; Ireland, Anna; D'Aniello, Rona; Lipnicki, Stephanie; Glick, Myron; Tumiel-Berhalter, Laurene

2015-01-01

Long-term partners received federal funding to develop the Patient Voices Network, a partnership of safety-net family practices and their patients to develop health improvement strategies. The scope and structure of the newly funded grant presented unexpected challenges that threatened the future of the partnership.Purpose of Article: To present a case study of the evolution of an existing partnership and offer lessons learned along with recommendations for future partnerships. Federal funding formalized the partnership in a way that required looking at it through a new lens. Leadership, programmatic, personnel, and financial challenges emerged. Short-term and long-term strategies were applied to address evolving needs. This case study demonstrates how federal funding raises the bar for academic-community partnerships and how challenges can be worked through, particularly if the partnership embraces the key principles of community-based participatory research (CBPR). Recommendations have been applied successfully to future initiatives.

A globally networked hybrid approach to public health capacity training for maternal health professionals in low and middle income countries.

PubMed

McIntosh, Scott; Pérez-Ramos, José G; David, Tamala; Demment, Margaret M; Avendaño, Esteban; Ossip, Deborah J; De Ver Dye, Timothy

2017-01-01

MundoComm is a current NIH-funded project for sustainable public health capacity building in community engagement and technological advances aimed at improving maternal health issues. Two to four teams are selected annually, each consisting of three healthcare professionals and one technical person from specific low and middle income countries (LMICs) including Costa Rica, Dominican Republic, Honduras, and other LMICs. MundoComm is a course with three parts: in-person workshops, online modules, and mentored community engagement development. Two annual 1-week on-site "short courses" convened in Costa Rica are supplemented with six monthly online training modules using the Moodle® online platform for e-learning, and mentored project development. The year-long course comprises over 20 topics divided into the six modules - each module further segmented into 4 week-long assignments, with readings and assigned tasks covering different aspects of community-engaged interventions. The content is peer reviewed by experts in the respective fields from University of Rochester, UCIMED in Costa Rica, and faculty from Costa Rica and the Dominican Republic who maintain regular contact with the trainees to mentor learning and project progress. The purpose of this paper is to report the first year results of the MundoComm project. Both quantitative and qualitative feedback (using online data capturing forms) assess baseline and post-training knowledge and skills in public health project strategies. The course currently has one team each in Costa Rica, the Dominican Republic, and Honduras for a total of 12 trainees. The course and modules include best practices in information and communication technologies (ICTs), ethical reviews, community engagement, evidence-based community interventions, and e-Health strategies. To maximize successful and culturally appropriate training approaches, the multi-media didactic presentations, flexible distance learning strategies, and the use of tablets for offline data collection are offered to trainees, and then feedback from trainees and other lessons learned aid in the refinement of subsequent curricular improvements. Through remark and discussion, the authors report on 1) the feasibility of using a globally networked learning environment (GNLE) plus workshop approach to public health capacity training and 2) the capacity of LMIC teams to complete the MundoComm trainings and produce ICT-based interventions to address a maternal health issue in their respective regions.

Family Science and Community-Based Learning: Using Speed Networking

ERIC Educational Resources Information Center

Payne, Pamela B.; Hubler, Daniel S.

2017-01-01

Students in Family Science often feel that they have an uphill battle to finding career opportunities that maximize their experiences from degree programs. The hallmark of successful programs in Family Science needs to be the development and maintenance of high-quality field experiences for students that align with national standards and…

Electronic Resource Sharing in Community Colleges: A Snapshot of Florida, Wisconsin, Texas, and Louisiana.

ERIC Educational Resources Information Center

Mahoney, Brian D.

2000-01-01

States that several states are establishing networks for resource sharing. Florida offers these resources through the Florida Distance Learning Library Initiative, Wisconsin has BadgerLink and WISCAT, TexShare provides library resource sharing in Texas, and Louisiana has LOUIS and LLN. These are some of the states successfully demonstrating…

The Arizona Journey Schools Program: A Strategy for Change. Final Report.

ERIC Educational Resources Information Center

Laughran, Laura J.; Shaw, Jerome M.

The Arizona Journey Schools Program (JSP) was a two-year professional development experience whose stated purpose was to build the leadership capacity of school/community teams and establish a network of professionals to support teams as they bring about systemic change in mathematics and science teaching, learning, and assessment. This report…

Culturally Sensitive IS Teaching: Lessons Learned to Manage Motivation Issues

ERIC Educational Resources Information Center

Chen, Wenshin

2011-01-01

This paper seeks to raise awareness of culturally sensitive teaching that is largely overlooked in the IS teaching community. In a global, networked environment commonly faced by the contemporary business or academic world, it is imperative to prepare future IT professionals with adequate cultural understanding of such a multicultural environment…

Leadership in a Network of Communities: A Phenomenographic Study

ERIC Educational Resources Information Center

MacGillivray, Alice

2010-01-01

Purpose: Canada's Chemical, Biological, Radiological, and Nuclear Research and Technology Initiative (CRTI) uses an operating model that is unusual in government. It is created to enable cross-boundary capability and capacity building and learning. Some consider it a model for other federal science initiatives. The purpose of this paper is to…

Using Facebook to Engage Learners in a Large Introductory Course

ERIC Educational Resources Information Center

Dougherty, Kevin D.; Andercheck, Brita

2014-01-01

Classes of hundreds pose special challenges for teaching and learning. Notable among these challenges is the tendency for students to feel like anonymous spectators rather than active, collaborative participants. To combat this tendency, we used the popular social networking site Facebook to cultivate a sense of community among 200-plus students…

A Framework for the Initiation of Networked Improvement Communities

ERIC Educational Resources Information Center

Russell, Jennifer Lin; Bryk, Anthony S.; Dolle, Jonathan R.; Gomez, Louis M.; Lemahieu, Paul G.; Grunow, Alicia

2017-01-01

Background/Context: Educators around the country are working individually and collectively to improve teaching and learning. Despite marked progress in some places driven by these improvement efforts, overall progress in the education field has been slow and outcomes remain highly variable. This is partly because the field is not organized to…

A Community-Building Framework for Collaborative Research Coordination across the Education and Biology Research Disciplines

ERIC Educational Resources Information Center

Pelaez, Nancy; Anderson, Trevor R.; Gardner, Stephanie M.; Yin, Yue; Abraham, Joel K.; Barlett, Edward L.; Gormally, Cara; Hurney, Carol A.; Long, Tammy M.; Newman, Dina L.; Sirum, Karen; Stevens, Michael T.

2018-01-01

Since 2009, the U.S. National Science Foundation Directorate for Biological Sciences has funded Research Coordination Networks (RCN) aimed at collaborative efforts to improve participation, learning, and assessment in undergraduate biology education (UBE). RCN-UBE projects focus on coordination and communication among scientists and educators who…

Alternative Education Spaces in Mexico

ERIC Educational Resources Information Center

Gray, Chloe

2010-01-01

This article explores the architecture of the Red de Innovacion y Aprendizaje (RIA), or Learning and Innovation Network, which is a group of education centres that provide access to computers, the Internet and quality education to low-income communities in Mexico. The RIA began in May 2009 when ten pilot centres were opened in four municipalities…

Technology, Learning Communities and Young People: The Future Something Project

ERIC Educational Resources Information Center

Herne, Steve; Adams, Jeff; Atkinson, Dennis; Dash, Paul; Jessel, John

2013-01-01

The "Future Something Project" ("FSP"), a two-year action research project, was devised to nurture the creative and technological talent of small groups of young people at risk by creating a structured network, mentored and driven by creative professionals exploring innovative ways for the two distinct target groups to work…

The Development of Virtual Educational Environments to Support Inter-School Collaboration

ERIC Educational Resources Information Center

Stevens, Ken

2007-01-01

The introduction of inter-school electronic networks has added a new dimension to education in Canada that has many implications for students who attend schools in rural communities. Collaborative internet-based teaching and learning and the creation of virtual classes within regional intranets now complement traditional on-site instruction in…

Supporting Teachers' Equity-Oriented Learning and Identities: A Resource-Centered Perspective

ERIC Educational Resources Information Center

Louie, Nicole L.

2017-01-01

Background/Context: Despite calls for equity in education, the dominant mode of schooling reproduces hierarchies, positioning some students as bright, gifted, or fast learners and others as lazy, in need of remediation, or slow. A number of studies have shown that teachers' professional communities and networks can address this problem and enhance…

Enhancing User Support in Open Problem Solving Environments through Bayesian Network Inference Techniques

ERIC Educational Resources Information Center

Tselios, Nikolaos; Stoica, Adrian; Maragoudakis, Manolis; Avouris, Nikolaos; Komis, Vassilis

2006-01-01

During the last years, development of open learning environments that support effectively their users has been a challenge for the research community of educational technologies. The open interactive nature of these environments results in users experiencing difficulties in coping with the plethora of available functions, especially during their…

Starting a Community-Wide Internet Turnkey Training Program for K-12 Teachers.

ERIC Educational Resources Information Center

McGrath, Beth; Baron, Joshua

Based on the work of the New Jersey Networking Infrastructure in Education (NJNIE) project, it has been demonstrated that thoughtful integration into the curriculum of Internet-based resources has enormous potential to improve teaching and learning. "The Alliance for Training K-12 Teachers in Instructional Technologies: A National…

Representing Learning With Graphical Models

NASA Technical Reports Server (NTRS)

Buntine, Wray L.; Lum, Henry, Jr. (Technical Monitor)

1994-01-01

Probabilistic graphical models are being used widely in artificial intelligence, for instance, in diagnosis and expert systems, as a unified qualitative and quantitative framework for representing and reasoning with probabilities and independencies. Their development and use spans several fields including artificial intelligence, decision theory and statistics, and provides an important bridge between these communities. This paper shows by way of example that these models can be extended to machine learning, neural networks and knowledge discovery by representing the notion of a sample on the graphical model. Not only does this allow a flexible variety of learning problems to be represented, it also provides the means for representing the goal of learning and opens the way for the automatic development of learning algorithms from specifications.

Science in the community: An ethnographic account of social material transformation

NASA Astrophysics Data System (ADS)

Lee, Stuart Henry

This dissertation is about the learning and use of science at the level of local community. It is an ethnographic account, and its theoretical approach draws on actor-network theory as well as neo-Marxist practice theory and the related notion of situated cognition. This theoretical basis supports a work that focuses on the many heterogeneous transformations that materials and people undergo as science is used to help bring about social and political change in a quasi-rural community. The activities that science becomes involved in, and the hybrid formations as it encounters local issues are stressed. Learning and knowing as outcomes of community action are theorized. The dissertation links four major themes throughout its narrative: scientific literacy, representations, relationships and participatory democracy. These four themes are not treated in isolation. Different facets of their relation to each other are stressed in different chapters, each of which analyze different particular case studies. This dissertation argues for the conception of a local scientific praxis, one that is markedly different than the usual notion of science, yet is necessary for the uptake of scientific information into a community.

Developing a Community of Practice for HIV Care: Supporting Knowledge Translation in a Regional Training Initiative.

PubMed

Gallagher, Donna M; Hirschhorn, Lisa R; Lorenz, Laura S; Piya, Priyatam

2017-01-01

Ensuring knowledgeable, skilled HIV providers is challenged by rapid advances in the field, diversity of patients and providers, and the need to retain experienced providers while training new providers. These challenges highlight the need for education strategies, including training and clinical consultation to support translation of new knowledge to practice. New England AIDS Education and Training Center (NEAETC) provides a range of educational modalities including academic peer detailing and distance support to HIV providers in six states. We describe the interprofessional perspectives of HIV providers who participated in this regional program to understand success and areas for strengthening pedagogical modality, content, and impact on clinical practice. This 2013 to 2014 mixed-methods study analyzed quantitative programmatic data to understand changes in training participants and modalities and used semistructured interviews with 30 HIV providers and coded for preidentified and emerging themes. Since 2010, NEAETC evolved modalities to a greater focus on active learning (case discussion, clinical consultation), decreasing didactic training by half (18-9%). This shift was designed to move from knowledge transfer to translation, and qualitative findings supported the value of active learning approaches. Providers valued interactive trainings and presentation of cases supporting knowledge translation. On-site training encouraged peer networking and sharing of lessons learned. Diversity in learning priorities across providers and sites validated NEAETC's approach of tailoring topics to local needs and encouraging regional networking. Tailored approaches resulted in improved provider-reported capacity, peer learning, and support. Future evaluations should explore the impact of this multipronged approach on supporting a community of practice and empowerment of provider teams.

Development of a university-based emergency department network: lessons learned.

PubMed

Pimentel, Laura; Hirshon, Jon Mark; Barrueto, Fermin; Browne, Brian J

2012-10-01

As part of the growth of emergency medical care in our state, our university-based emergency medicine practice developed a network of affiliated emergency department (ED) practices. The original practices were academic and based on a faculty practice model; more recent network development incorporated a community practice model less focused on academics. This article discusses the growth of that network, with a focus on the recent addition of a county-wide two-hospital emergency medicine practice. During the transition of the two EDs from a contract management group to the university network, six critical areas in need of restructuring were identified: 1) departmental leadership, 2) recruitment and retention of clinical staff members, 3) staffing strategies, 4) relationships with key constituents, 5) clinical operations, supplies, and equipment, and 6) compensation structure. The impact of changes was measured by comparison of core measures, efficiency metrics, patient volumes, admissions, and transfers to the academic medical center before and after the implementation of our practice model. Our review and modification of these components significantly improved the quality and efficiency of care at the community hospital system. The consistent presence of board certified emergency physicians optimized utilization of clinical resources in the community hospital and the academic health system. This dynamic led to a mutually beneficial merger of these major state healthcare systems. Copyright © 2012 Elsevier Inc. All rights reserved.

STAR Library Education Network: a hands-on learning program for libraries and their communities

NASA Astrophysics Data System (ADS)

Dusenbery, P.

2010-12-01

Science and technology are widely recognized as major drivers of innovation and industry (e.g. Rising above the Gathering Storm, 2006). While the focus for education reform is on school improvement, there is considerable research that supports the role that out-of-school experiences can play in student achievement and public understanding of STEM disciplines. Libraries provide an untapped resource for engaging underserved youth and their families in fostering an appreciation and deeper understanding of science and technology topics. Designed spaces, like libraries, allow lifelong, life-wide, and life-deep learning to take place though the research basis for learning in libraries is not as developed as other informal settings like science centers. The Space Science Institute’s National Center for Interactive Learning (NCIL) in partnership with the American Library Association (ALA), the Lunar and Planetary Institute (LPI), and the National Girls Collaborative Project (NGCP) have received funding from NSF to develop a national education project called the STAR Library Education Network: a hands-on learning program for libraries and their communities (or STAR-Net for short). STAR stands for Science-Technology, Activities and Resources. The overarching goal of the project is to reach underserved youth and their families with informal STEM learning experiences. This project will deepen our knowledge of informal/lifelong learning that takes place in libraries and establish a learning model that can be compared to the more established free-choice learning model for science centers and museums. The project includes the development of two STEM hands-on exhibits on topics that are of interest to library staff and their patrons: Discover Earth and Discover Tech. In addition, the project will produce resources and inquiry-based activities that libraries can use to enrich the exhibit experience. Additional resources will be provided through partnerships with relevant professional science and technology organizations (e.g. American Geophysical Union; National Academy of Engineering) that will provide speakers for host library events and webinars. Online and in-person workshops will be conducted for library staff with a focus on increasing content knowledge and improving facilitation expertise. This presentation will report on strategic planning activities for STAR-Net, a Community of Practice model, and the evaluation/research components of this national education program.

An investigation of fMRI time series stationarity during motor sequence learning foot tapping tasks.

PubMed

Muhei-aldin, Othman; VanSwearingen, Jessie; Karim, Helmet; Huppert, Theodore; Sparto, Patrick J; Erickson, Kirk I; Sejdić, Ervin

2014-04-30

Understanding complex brain networks using functional magnetic resonance imaging (fMRI) is of great interest to clinical and scientific communities. To utilize advanced analysis methods such as graph theory for these investigations, the stationarity of fMRI time series needs to be understood as it has important implications on the choice of appropriate approaches for the analysis of complex brain networks. In this paper, we investigated the stationarity of fMRI time series acquired from twelve healthy participants while they performed a motor (foot tapping sequence) learning task. Since prior studies have documented that learning is associated with systematic changes in brain activation, a sequence learning task is an optimal paradigm to assess the degree of non-stationarity in fMRI time-series in clinically relevant brain areas. We predicted that brain regions involved in a "learning network" would demonstrate non-stationarity and may violate assumptions associated with some advanced analysis approaches. Six blocks of learning, and six control blocks of a foot tapping sequence were performed in a fixed order. The reverse arrangement test was utilized to investigate the time series stationarity. Our analysis showed some non-stationary signals with a time varying first moment as a major source of non-stationarity. We also demonstrated a decreased number of non-stationarities in the third block as a result of priming and repetition. Most of the current literature does not examine stationarity prior to processing. The implication of our findings is that future investigations analyzing complex brain networks should utilize approaches robust to non-stationarities, as graph-theoretical approaches can be sensitive to non-stationarities present in data. Copyright © 2014 Elsevier B.V. All rights reserved.

Rural Oregon community perspectives: introducing community-based participatory research into a community health coalition.

PubMed

Young-Lorion, Julia; Davis, Melinda M; Kirks, Nancy; Hsu, Anna; Slater, Jana Kay; Rollins, Nancy; Aromaa, Susan; McGinnis, Paul

2013-01-01

The Community Health Improvement Partnership (CHIP) model has supported community health development in more than 100 communities nationally. In 2011, four rural Oregon CHIPs collaborated with investigators from the Oregon Rural Practice-based Research Network (ORPRN), a component of the Oregon Clinical and Translational Research Institute (OCTRI), to obtain training on research methods, develop and implement pilot research studies on childhood obesity, and explore matches with academic partners. This article summarizes the experiences of the Lincoln County CHIP, established in 2003, as it transitioned from CHIP to Community Health Improvement and Research Partnership (CHIRP). Our story and lessons learned may inform rural community-based health coalitions and academicians who are engaged in or considering Community-based participatory research (CBPR) partnerships. Utilizing existing infrastructure and relationships in community and academic settings provides an ideal starting point for rural, bidirectional research partnerships.

The effects of deep network topology on mortality prediction.

PubMed

Hao Du; Ghassemi, Mohammad M; Mengling Feng

2016-08-01

Deep learning has achieved remarkable results in the areas of computer vision, speech recognition, natural language processing and most recently, even playing Go. The application of deep-learning to problems in healthcare, however, has gained attention only in recent years, and it's ultimate place at the bedside remains a topic of skeptical discussion. While there is a growing academic interest in the application of Machine Learning (ML) techniques to clinical problems, many in the clinical community see little incentive to upgrade from simpler methods, such as logistic regression, to deep learning. Logistic regression, after all, provides odds ratios, p-values and confidence intervals that allow for ease of interpretation, while deep nets are often seen as `black-boxes' which are difficult to understand and, as of yet, have not demonstrated performance levels far exceeding their simpler counterparts. If deep learning is to ever take a place at the bedside, it will require studies which (1) showcase the performance of deep-learning methods relative to other approaches and (2) interpret the relationships between network structure, model performance, features and outcomes. We have chosen these two requirements as the goal of this study. In our investigation, we utilized a publicly available EMR dataset of over 32,000 intensive care unit patients and trained a Deep Belief Network (DBN) to predict patient mortality at discharge. Utilizing an evolutionary algorithm, we demonstrate automated topology selection for DBNs. We demonstrate that with the correct topology selection, DBNs can achieve better prediction performance compared to several bench-marking methods.

Hypothesis generation using network structures on community health center cancer-screening performance.

PubMed

Carney, Timothy Jay; Morgan, Geoffrey P; Jones, Josette; McDaniel, Anna M; Weaver, Michael T; Weiner, Bryan; Haggstrom, David A

2015-10-01

Nationally sponsored cancer-care quality-improvement efforts have been deployed in community health centers to increase breast, cervical, and colorectal cancer-screening rates among vulnerable populations. Despite several immediate and short-term gains, screening rates remain below national benchmark objectives. Overall improvement has been both difficult to sustain over time in some organizational settings and/or challenging to diffuse to other settings as repeatable best practices. Reasons for this include facility-level changes, which typically occur in dynamic organizational environments that are complex, adaptive, and unpredictable. This study seeks to understand the factors that shape community health center facility-level cancer-screening performance over time. This study applies a computational-modeling approach, combining principles of health-services research, health informatics, network theory, and systems science. To investigate the roles of knowledge acquisition, retention, and sharing within the setting of the community health center and to examine their effects on the relationship between clinical decision support capabilities and improvement in cancer-screening rate improvement, we employed Construct-TM to create simulated community health centers using previously collected point-in-time survey data. Construct-TM is a multi-agent model of network evolution. Because social, knowledge, and belief networks co-evolve, groups and organizations are treated as complex systems to capture the variability of human and organizational factors. In Construct-TM, individuals and groups interact by communicating, learning, and making decisions in a continuous cycle. Data from the survey was used to differentiate high-performing simulated community health centers from low-performing ones based on computer-based decision support usage and self-reported cancer-screening improvement. This virtual experiment revealed that patterns of overall network symmetry, agent cohesion, and connectedness varied by community health center performance level. Visual assessment of both the agent-to-agent knowledge sharing network and agent-to-resource knowledge use network diagrams demonstrated that community health centers labeled as high performers typically showed higher levels of collaboration and cohesiveness among agent classes, faster knowledge-absorption rates, and fewer agents that were unconnected to key knowledge resources. Conclusions and research implications: Using the point-in-time survey data outlining community health center cancer-screening practices, our computational model successfully distinguished between high and low performers. Results indicated that high-performance environments displayed distinctive network characteristics in patterns of interaction among agents, as well as in the access and utilization of key knowledge resources. Our study demonstrated how non-network-specific data obtained from a point-in-time survey can be employed to forecast community health center performance over time, thereby enhancing the sustainability of long-term strategic-improvement efforts. Our results revealed a strategic profile for community health center cancer-screening improvement via simulation over a projected 10-year period. The use of computational modeling allows additional inferential knowledge to be drawn from existing data when examining organizational performance in increasingly complex environments. Copyright © 2015 Elsevier Inc. All rights reserved.

Supporting and structuring "contributing student pedagogy" in Computer Science curricula

NASA Astrophysics Data System (ADS)

Falkner, Katrina; Falkner, Nickolas J. G.

2012-12-01

Contributing student pedagogy (CSP) builds upon social constructivist and community-based learning principles to create engaging and productive learning experiences. What makes CSP different from other, related, learning approaches is that it involves students both learning from and also explicitly valuing the contributions of other students. The creation of such a learning community builds upon established educational psychology that encourages deep learning, reflection and engagement. Our school has recently completed a review and update of its curriculum, incorporating student content-creation and collaboration into the design of key courses across the curriculum. Our experiences, based on several years of experimentation and development, support CSP-based curriculum design to reinforce the value of the student perspective, the clear description of their own transformative pathway to knowledge and the importance of establishing student-to-student networks in which students are active and willing participants. In this paper, we discuss the tools and approaches that we have employed to guide, support and structure student collaboration across a range of courses and year levels. By providing an account of our intentions, our approaches and tools, we hope to provide useful and transferrable knowledge that can be readily used by other academics who are considering this approach.

Youth Science Ambassadors: Connecting Indigenous communities with Ocean Networks Canada tools to inspire future ocean scientists and marine resource managers

NASA Astrophysics Data System (ADS)

Pelz, M.; Hoeberechts, M.; Hale, C.; McLean, M. A.

2017-12-01

This presentation describes Ocean Networks Canada's (ONC) Youth Science Ambassador Program. The Youth Science Ambassadors are a growing network of youth in Canadian coastal communities whose role is to connect ocean science, ONC data, and Indigenous knowledge. By directly employing Indigenous youth in communities in which ONC operates monitoring equipment, ONC aims to encourage wider participation and interest in ocean science and exploration. Further, the Youth Science Ambassadors act as role models and mentors to other local youth by highlighting connections between Indigenous and local knowledge and current marine science efforts. Ocean Networks Canada, an initiative of the University of Victoria, develops, operates, and maintains cabled ocean observatory systems. These include technologies developed on the world-leading NEPTUNE and VENUS observatories as well as community observatories in the Arctic and coastal British Columbia. These observatories, large and small, enable communities, users, scientists, teachers, and students to monitor real-time and historical data from the local marine environment from anywhere on the globe. Youth Science Ambassadors are part of the Learning and Engagement team whose role includes engaging Indigenous communities and schools in ocean science through ONC's K-12 Ocean Sense education program. All of the data collected by ONC are freely available over the Internet for non-profit use, including disaster planning, community-based decision making, and education. The Youth Science Ambassadors support collaboration with Indigenous communities and schools by facilitating educational programming, encouraging participation in ocean data collection and analysis, and fostering interest in ocean science. In addition, the Youth Science Ambassadors support community collaboration in decision-making for instrument deployment locations and identify ways in which ONC can help to address any areas of concern raised by the community. This presentation will share the successes and challenges of the Youth Science Ambassador program in engaging both rural and urban Indigenous communities. We will share activities and experiences, discuss how we have adapted to meet the needs of each community, and outline ideas we have for the future development of the program.

Students' network integration vs. persistence in introductory physics courses

NASA Astrophysics Data System (ADS)

Zwolak, Justyna; Brewe, Eric

2017-01-01

Society is constantly in flux, which demands the continuous development of our educational system to meet new challenges and impart the appropriate knowledge/skills to students. In order to improve student learning, among other things, the way we are teaching has significantly changed over the past few decades. We are moving away from traditional, lecture-based teaching towards more interactive, engagement-based strategies. A current, major challenge for universities is to increase student retention. While students' academic and social integration into an institution seems to be vital for student retention, research on the effect of interpersonal interactions is rare. I use of network analysis to investigate academic and social experiences of students in and beyond the classroom. In particular, there is a compelling case that transformed physics classes, such as Modeling Instruction (MI), promote persistence by the creation of learning communities that support the integration of students into the university. I will discuss recent results on pattern development in networks of MI students' interactions throughout the semester, as well as the effect of students' position within the network on their persistence in physics.

CADC and CANFAR: Extending the role of the data centre

NASA Astrophysics Data System (ADS)

Gaudet, Severin

2015-12-01

Over the past six years, the CADC has moved beyond the astronomy archive data centre to a multi-service system for the community. This evolution is based on two major initiatives. The first is the adoption of International Virtual Observatory Alliance (IVOA) standards in both the system and data architecture of the CADC, including a common characterization data model. The second is the Canadian Advanced Network for Astronomical Research (CANFAR), a digital infrastructure combining the Canadian national research network (CANARIE), cloud processing and storage resources (Compute Canada) and a data centre (Canadian Astronomy Data Centre) into a unified ecosystem for storage and processing for the astronomy community. This talk will describe the architecture and integration of IVOA and CANFAR services into CADC operations, the operational experiences, the lessons learned and future directions

An assessment of PKI and networked electronic patient record system: lessons learned from real patient data exchange at the platform of OCHIS (Osaka Community Healthcare Information System).

PubMed

Takeda, Hiroshi; Matsumura, Yasushi; Kuwata, Shigeki; Nakano, Hirohiko; Shanmai, Ji; Qiyan, Zhang; Yufen, Chen; Kusuoka, Hideo; Matsuoka, Masaki

2004-03-31

To enhance medical cooperation between the hospitals and clinics around Osaka local area, the healthcare network system, named Osaka Community Healthcare Information System (OCHIS), was established with support of a supplementary budget from the Japanese government in fiscal year 2002. Although the system has been based on healthcare public key infrastructure (PKI), there remain security issues to be solved technically and operationally. An experimental study was conducted to elucidate the central and the local function in terms of a registration authority and a time stamp authority in contract with the Japanese Medical Information Systems Organization (MEDIS) in 2003. This paper describes the experimental design and the results of the study concerning message security.

“Everyone Should Be Able to Choose How They Get Around”: How Topeka, Kansas, Passed a Complete Streets Resolution

PubMed Central

Langston, Marvin; Cardick, Lauren C.; Johnson, Nancy; Clayton, Paula; Brownson, Ross C.

2014-01-01

Background Regular physical activity can help prevent chronic diseases, yet only half of US adults meet national physical activity guidelines. One barrier to physical activity is a lack of safe places to be active, such as bike paths and sidewalks. Complete Streets, streets designed to enable safe access for all users, can help provide safe places for activity. Community Context This community case study presents results from interviews with residents and policymakers of Topeka, Kansas, who played an integral role in the passage of a Complete Streets resolution in 2009. It describes community engagement processes used to include stakeholders, assess existing roads and sidewalks, and communicate with the public and decision-makers. Methods Key informant interviews were conducted with city council members and members of Heartland Healthy Neighborhoods in Topeka to learn how they introduced a Complete Streets resolution and the steps they took to ensure its successful passage in the City Council. Interviews were recorded, transcribed, and analyzed by using focused-coding qualitative analysis. Outcome Results included lessons learned from the process of passing the Complete Streets resolution and advice from participants for other communities interested in creating Complete Streets in their communities. Interpretation Lessons learned can apply to other communities pursuing Complete Streets. Examples include clearly defining Complete Streets; educating the public, advocates, and decision-makers about Complete Streets and how this program enhances a community; building a strong and diverse network of supporters; and using stories and examples from other communities with Complete Streets to build a convincing case. PMID:24556251

Bringing Planetary Data into Learning Environments: A Community Effort

NASA Astrophysics Data System (ADS)

Shipp, S.; Higbie, M.; Lowes, L.

2005-12-01

Recognizing the need to communicate scientific findings, and the power of using real planetary data in educational settings to engage students in Earth and space science in meaningful ways, the South Central Organization of Researchers and Educators and the Solar System Exploration Education Forum, part of NASA's Science Mission Directorate's Support Network, have established the Planetary Data in Education (PDE) Initiative. The Initiative strives to: 1) Establish a collaborative community of educators, education specialists, curriculum developers, tool developers, learning technologists, scientists, and data providers to design and develop educationally appropriate products; 2) Build awareness in the broader educational and scientific community of existing programs, products, and resources; 3) Address issues hindering the effective use of planetary data in formal and informal educational settings; and 4) Encourage partnerships that leverage the community's expertise The PDE community has hosted two conferences exploring issues in using data in educational settings. The community recognizes that data are available through venues such as the Planetary Data Systems (PDS), but not in a format that the end-user in a formal or informal educational setting can digest; these data are intended for the scientific audience. Development of meaningful educational programs using planetary data requires design of appropriate learner interfaces and involvement of data providers, product developers, learning technologists, scientists, and educators. The PDE community will participate in the development of Earth Exploration Toolbooks during the DLESE Data Services Workshop and will host a workshop in the summer of 2006 to bring together small groups of educators, data providers, and learning technologists, and scientists to design and develop products that bring planetary data into educational settings. In addition, the PDE community hosts a Web site that presents elements identified as needed by the community, including examples of planetary data use in education, recommendations for program development, links to data providers, opportunities for collaboration, pertinent research, and a Web portal to access educational resources using planetary data on the DLESE Web site.

A Community-Building Framework for Collaborative Research Coordination across the Education and Biology Research Disciplines.

PubMed

Pelaez, Nancy; Anderson, Trevor R; Gardner, Stephanie M; Yin, Yue; Abraham, Joel K; Bartlett, Edward L; Gormally, Cara; Hurney, Carol A; Long, Tammy M; Newman, Dina L; Sirum, Karen; Stevens, Michael T

2018-06-01

Since 2009, the U.S. National Science Foundation Directorate for Biological Sciences has funded Research Coordination Networks (RCN) aimed at collaborative efforts to improve participation, learning, and assessment in undergraduate biology education (UBE). RCN-UBE projects focus on coordination and communication among scientists and educators who are fostering improved and innovative approaches to biology education. When faculty members collaborate with the overarching goal of advancing undergraduate biology education, there is a need to optimize collaboration between participants in order to deeply integrate the knowledge across disciplinary boundaries. In this essay we propose a novel guiding framework for bringing colleagues together to advance knowledge and its integration across disciplines, the "Five 'C's' of Collaboration: Commitment, Collegiality, Communication, Consensus, and Continuity." This guiding framework for professional network practice is informed by both relevant literature and empirical evidence from community-building experience within the RCN-UBE Advancing Competencies in Experimentation-Biology (ACE-Bio) Network. The framework is presented with practical examples to illustrate how it might be used to enhance collaboration between new and existing participants in the ACE-Bio Network as well as within other interdisciplinary networks.

Sensitive Topics, Missing Data, and Refusal in Social Network Studies: An Ethical Examination.

PubMed

Ellison, Erin Rose; Langhout, Regina Day

2017-12-01

We describe our ethics-driven process of addressing missing data within a social network study about accountability for racism, classism, sexism, heterosexism, cis-sexism, ableism, and other forms of oppression among social justice union organizers. During data collection, some would-be participants did not return emails and others explicitly refused to engage in the research. All refusals came from women of color. We faced an ethical dilemma: Should we continue to seek participation from those who had not yet responded, with the hopes of recruiting more women of color from within the network so their perspectives would not be tokenized? Or, should we stop asking those who had been contacted multiple times, which would compromise the social network data and analysis? We delineate ways in which current discussions of the ethics of social network studies fell short, given our framework and our community psychology (CP) values. We outline literature that was helpful in thinking through this challenge; we looked outside of CP to the decolonization literature on refusal. Lessons learned include listening for the possible meanings of refusals and considering the level of engagement and the labor required of participants when designing research studies. © Society for Community Research and Action 2017.

The Formation of Communities of Practice in a Network of Schools Serving Culturally and Linguistically Diverse Students

ERIC Educational Resources Information Center

Scanlan, Martin; Zisselsberger, Margarita

2015-01-01

Culturally and linguistically diverse (CLD) students comprise the most rapidly expanding, and among the most educationally marginalized, group in the United States. CLD students' opportunities to learn are often diminished through service delivery models that are deficit-oriented, viewing linguistic diversity as a challenge to overcome, not a…

Educational Technology for the Global Village: Worldwide Innovation and Best Practices

ERIC Educational Resources Information Center

Lloyd, Les, Ed.; Barreneche, Gabriel I., Ed.

2014-01-01

With this timely book, editors Les Lloyd and Gabriel Barreneche present an eye-opening look at projects that are innovating with technology to improve education and, indeed, the very quality of people's lives around the world. From collaborative learning communities and social networks to Web 2.0 tools, MOOCs, and mobiles, experts discuss an array…

The Development of Pre-Service Science Teachers' Professional Knowledge in Utilizing ICT to Support Professional Lives

ERIC Educational Resources Information Center

Arnold, Savittree Rochanasmita; Padilla, Michael J.; Tunhikorn, Bupphachart

2009-01-01

In the rapidly developing digital world, technology is and will be a force in workplaces, communities, and everyday lives in the 21st century. Information and Communication Technology (ICT) including computer hardware/software, networking and other technologies such as audio, video, and other multimedia tools became learning tools for students in…

Using Facebook Groups to Encourage Science Discussions in a Large-Enrollment Biology Class

ERIC Educational Resources Information Center

Pai, Aditi; McGinnis, Gene; Bryant, Dana; Cole, Megan; Kovacs, Jennifer; Stovall, Kyndra; Lee, Mark

2017-01-01

This case study reports the instructional development, impact, and lessons learned regarding the use of Facebook as an educational tool within a large enrollment Biology class at Spelman College (Atlanta, GA). We describe the use of this social networking site to (a) engage students in active scientific discussions, (b) build community within the…

77 FR 76449 - Los Padres National Forest, California; Strategic Community Fuelbreak Improvement Project

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-28

... unit for a total of 544 acres. Treatments would include the use of machine and/or hand thinning, machine and/or hand piling and pile burning or chipping; and mastication. The project is located in... facilitated and guided by the Fire Learning Network, and a focus on ecological restoration, participants in...

Using a Networked Mac Lab To Facilitate Learning in Art, Foreign Languages, and English.

ERIC Educational Resources Information Center

Brutchin, Patricia; And Others

These presentations examine the use of a new Macintosh Lab in Commercial Art Technology, Spanish, and English Composition classes at Clark State Community College. The first paper describes the Commercial Art Technology program at the college, highlighting the use of the Mac Lab installed in September 1993 and discussing the Electronic Publishing,…

Using a Networked Improvement Community Approach to Design and Scale up Social Psychological Interventions in Schools. Conference Paper

ERIC Educational Resources Information Center

Barron, Kenneth E.; Hulleman, Chris S.; Inouye, R. Bryce; Hartka, Thomas A.

2015-01-01

In our session, we showcase work from a researcher-practitioner partnership between James Madison University, the University of Virginia, and Harrisonburg City Public Schools that is focused on developing a continuous improvement process to translate social-psychological interventions into teaching practices that enhance motivation and learning.…

Economic Dimensions of Sustainable Development, the Fight against Poverty and Educational Responses

ERIC Educational Resources Information Center

Ahmed, Manzoor

2010-01-01

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…

Professional Learning Communities Enhancing Teacher Experiences in International Schools

ERIC Educational Resources Information Center

Lalor, Brian; Abawi, Lindy

2014-01-01

In international school contexts, schools that establish support networks for newly arrived staff tend to stand a better chance of retaining staff and creating a positive and successful work environment. The case study at the center of the paper is an International School in Vietnam and this paper aims to highlight the importance of building…

American Government: An Introduction Using MicroCase with Distance Learners.

ERIC Educational Resources Information Center

Rosberg, William H.

In spring 1997, a project used MicroCase, a computer-based statistical analysis and data retrieval system, to offer an American Government class to distance students at Iowa's Kirkwood Community College (KCC). Students participated in the course at one of the college's 10 learning centers via a statewide fiber-optic network. MicroCase provided the…

Building Interdisciplinary Qualitative Research Networks: Reflections on Qualitative Research Group (QRG) at the University of Manitoba

ERIC Educational Resources Information Center

Roger, Kerstin Stieber; Halas, Gayle

2012-01-01

As qualitative research methodologies continue to evolve and develop, both students and experienced researchers are showing greater interest in learning about and developing new approaches. To meet this need, faculty at the University of Manitoba created the Qualitative Research Group (QRG), a community of practice that utilizes experiential…

A Business School Living Learning Community: A Complexity Theory Study of Collaborative Engagement Using Network Analysis

ERIC Educational Resources Information Center

De Iulio, Edward B.

2017-01-01

As funding for institutions of higher education becomes tighter, state and federal entities have turned to student retention and graduation rates as measures of success to determine levels of financial support. A concept, supported by student development theories, used to increase retention and graduation rates is creating living learning…

The Introduction of New Technologies: New Possibilities for Early Childhood Pedagogy

ERIC Educational Resources Information Center

O'Rourke, Maureen; Harrison, Cathie

2004-01-01

In 2000, IBM invited the Australian National Schools Network to assist in the implementation of the international KidSmart Early Learning Program in Australia. By the end of 2003, more than 300 Young Explorer Units will have been donated to designated early childhood settings serving low socio-economic communities across Australia. This paper will…

What Makes a cMOOC Community Endure? Multiple Participant Perspectives from Diverse cMOOCS

ERIC Educational Resources Information Center

Bali, Maha; Crawford, Maureen; Jessen, Rhonda; Signorelli, Paul; Zamora, Mia

2015-01-01

Imagine the challenge of being immersed in a dynamic learning network where you play brinkmanship with being overwhelmed by a plethora of information, comments, and conversations on a topic of intense interest to you. Through adept facilitation, the comments and encouragement of fellow participants, and your own perseverance, you develop a network…

Indicators of Social Capital: Social Capital as the Product of Local Interactive Learning Processes. CRLRA Discussion Paper Series.

ERIC Educational Resources Information Center

Falk, Ian; Harrison, Lesley

A case study in a rural Australian township attempted to determine indicators verifying the existence of social capital. Social capital is provisionally defined as the networks, norms, and trust that constitute the capacity of individuals, workplaces, groups, organizations, and communities to strive for sustainable futures in a changing…

Professional Learning Communities and the Diffusion of Pedagogical Innovation in the Chinese Education System

ERIC Educational Resources Information Center

Sargent, Tanja Carmel

2015-01-01

Pedagogical innovations have been diffusing unevenly through the Chinese education system as a result of the implementation of the New Curriculum Reforms. Drawing on large-scale linked teacher and principal survey data from the Gansu Survey of Children and Families, this article investigates the extent to which interlocking teacher networks, which…

Social Networks and the Desire to Save Face: A Case from Singapore

ERIC Educational Resources Information Center

Netzley, Michael A.; Rath, Akanksha

2012-01-01

For 5 years, corporate communication undergraduates have maintained a wiki as a final course and community service project. Using Web 2.0 platforms to crowdsource and curate content, they learn to employ online communications for work purposes. When the course was launched in 2007, the dominant social media narrative invited educators to embrace a…

Supportive group action for women: a self-help strategy.

PubMed

Stewart, M

1983-09-01

A major goal of the demonstration project described was to test a model of self-help and voluntary support in developing groups for female single parents. Community meetings, study programs, and related experiential strategies were used to promote coping skills and strategies; access to resources; decision-making learning and responsibility; social contacts and networking; work skills and employment opportunities. The effectiveness of the model, which emphasized self-help, consumer power, and accessibility, was reflected in increased membership, self-awareness and confidence, leadership, employment and development of community resources. Initial individual contact, informal contracting, and community support were seen as important factors in the project's success.

From Innovation to Impact at Scale: Lessons Learned from a Cluster of Research-Community Partnerships

PubMed Central

Schindler, Holly S.; Fisher, Philip A.; Shonkoff, Jack P.

2017-01-01

This paper presents a description of how an interdisciplinary network of academic researchers, community-based programs, parents, and state agencies have joined together to design, test, and scale a suite of innovative intervention strategies rooted in new knowledge about the biology of adversity. Through a process of co-creation, collective pilot-testing, and the support of a measurement and evaluation hub, the Washington State Innovation Cluster is using rapid cycle, iterative learning to elucidate differential impacts of interventions designed to build child and caregiver capacities and address the developmental consequences of socioeconomic disadvantage. Key characteristics of the Innovation Cluster model are described and an example is presented of a video-coaching intervention that has been implemented, adapted, and evaluated through this distinctive, collaborative process. PMID:28777436

New pathways to physics instruction: Blending a MOOC and in-person discussion to train physics graduate students and postdocs in evidence-based teaching

NASA Astrophysics Data System (ADS)

Goldberg, Bennett

A challenge facing physics education is how to encourage and support the adoption of evidence-based instructional practices that decades of physics education research has shown to be effective. Like many STEM departments, physics departments struggle to overcome the barriers of faculty knowledge, motivation and time; institutional cultures and reward systems; and disciplinary traditions. Research has demonstrated successful transformation of department-level approaches to instruction through local learning communities, in-house expertise, and department administrative support. In this talk, I will discuss how physics and other STEM departments can use a MOOC on evidence-based instruction together with in-person seminar discussions to create a learning community of graduate students and postdocs, and how such communities can affect departmental change in teaching and learning. Four university members of the 21-university network working to prepare future faculty to be both excellent researchers and excellent teachers collaborated on an NSF WIDER project to develop and deliver two massive open online courses (MOOCs) in evidence-based STEM instruction. A key innovation is a new blended mode of delivery where groups of participants engaged with the online content and then meet weekly in local learning communities to discuss content, communicate current experiences, and delve deeper into particular techniques of local interest. The MOOC team supported these so-called MOOC-Centered Learning Communities, or MCLCs, with detailed facilitator guides complete with synopses of online content, learning goals and suggested activities for in-person meetings, as well as virtual MCLC communities for sharing and feedback. In the initial run of the first MOOC, 40 MCLCs were created; in the second run this past fall, more than 80 MCLCs formed. Further, target audiences of STEM graduate students and postdocs completed at a 40-50% rate, indicating the value they place in building their knowledge in evidence-based instruction. We will present data on the impact of being in an MCLC on completion and learning outcomes, as well as data on departmental change in physics supported by MCLCs. Work supported by NSF DUE-1347605.

Integrating Scientific Content with Context to Connect Educators with the Complexities and Consequences of Climate Change

NASA Astrophysics Data System (ADS)

Low, R.; Gosselin, D. C.; Oglesby, R. J.; Larson-Miller, C.; Thomas, J.; Mawalagedara, R.

2011-12-01

Over the past three years the Nebraska Earth Systems Education Network has designed professional development opportunities for K-12 and extension educators that integrates scientific content into the context of helping educators connect society with the complexities and consequences of climate change. Our professional development approach uses learner-, knowledge-, assessment-, and community-centered strategies to achieve our long-term goal: collaboration of scientists, educators and learners to foster civic literacy about climate change. Two NASA-funded projects, Global Climate Change Literacy for Educators (GCCE, 2009-2012), and the Educators Climatologists Learning Community (ECLC, 2011-2013), have provided the mechanism to provide teachers with scientifically sound and pedagogically relevant educational materials to improve climate and Earth systems literacy among educators. The primary product of the GCCE program is a 16-week, online, distance-delivered, asynchronous course entitled, Laboratory Earth: Human Dimensions of Climate Change. This course consists of four, four-week modules that integrate climate literacy, Earth Systems concepts, and pedagogy focused on active learning processes, building community, action research, and students' sense of place to promote action at the local level to address the challenges of climate change. Overall, the Community of Inquiry Survey (COI) indicated the course was effective in teaching content, developing a community of learners, and engaging students in experiences designed to develop content knowledge. A pre- and post- course Wilcoxan Signed Ranks Test indicated there was a statistically significant increase in participant's beliefs about their personal science teaching efficacy. Qualitative data from concept maps and content mastery assignments support a positive impact on teachers' content knowledge and classroom practice. Service Learning units seemed tohelp teachers connect course learning to their classroom teaching. In addition, qualitative data indicate that teachers' students found service learning to be highly motivational components to learning. The ECLC project, to be initiated in the fall 2011, will build on our GCCE experiences to create a sustainable virtual learning community of educators and scientists. Climate-change issues will serve as a context in which collaborative scientist-educator-teams will develop discrete, locally oriented research projects to facilitate development of confident, knowledgeable citizen-scientists within their classrooms.

Teaching Advanced Leadership Skills in Community Service (ALSCS) to medical students.

PubMed

Goldstein, Adam O; Calleson, Diane; Bearman, Rachel; Steiner, Beat D; Frasier, Pamela Y; Slatt, Lisa

2009-06-01

Inadequate access to health care, lack of health insurance, and significant health disparities reflect crises in health care affecting all of society. Training U.S. physicians to possess not only clinical expertise but also sufficient leadership skills is essential to solve these problems and to effectively improve health care systems. Few models in the undergraduate medical curriculum exist for teaching students how to combine needed leadership competencies with actual service opportunities.The Advanced Leadership Skills in Community Service (ALSCS) selective developed in response to the shortage of leadership models and leadership training for medical students. The ALSCS selective is designed specifically to increase students' leadership skills, with an emphasis on community service. The selective integrates classroom-based learning, hands-on application of learned skills, and service learning. More than 60 medical students have participated in the selective since inception. Short-term outcomes demonstrate an increase in students' self-efficacy around multiple dimensions of leadership skills (e.g., fundraising, networking, motivating others). Students have also successfully completed more than a dozen leadership and community service projects. The selective offers an innovative model of a leadership-skills-based course that can have a positive impact on leadership skill development among medical school students and that can be incorporated into the medical school curriculum.

The Impact of Network Embeddedness on Student Persistence

NASA Astrophysics Data System (ADS)

Zwolak, Justyna; Brewe, Eric; Inspire Team

Society is constantly in flux, which demands the continuous development of our educational system to meet new challenges and impart the appropriate knowledge/skills to students. In particular, in order to improve student learning (among other things), the way we are teaching has significantly changed over the past few decades. We are moving away from traditional, lecture-based teaching towards a more interactive approach using, e.g., clicker questions, modeling instruction (MI), and other engagement strategies. A current, major challenge for universities is to increase student retention. I am examining the use of network analysis to investigate academic and social experiences of students in and beyond the classroom. There is a compelling case that transformed physics classes, such as ones that use MI, promote persistence by the creation of learning communities that support the integration of students into the university. I will discuss recent results connecting the MI approach to network structures in the students' interactions and how students' position impacts persistence in taking a subsequent MI vs. traditional lecture-based course.

Supporting Shared Resource Usage for a Diverse User Community: the OSG Experience and Lessons Learned

NASA Astrophysics Data System (ADS)

Garzoglio, Gabriele; Levshina, Tanya; Rynge, Mats; Sehgal, Chander; Slyz, Marko

2012-12-01

The Open Science Grid (OSG) supports a diverse community of new and existing users in adopting and making effective use of the Distributed High Throughput Computing (DHTC) model. The LHC user community has deep local support within the experiments. For other smaller communities and individual users the OSG provides consulting and technical services through the User Support area. We describe these sometimes successful and sometimes not so successful experiences and analyze lessons learned that are helping us improve our services. The services offered include forums to enable shared learning and mutual support, tutorials and documentation for new technology, and troubleshooting of problematic or systemic failure modes. For new communities and users, we bootstrap their use of the distributed high throughput computing technologies and resources available on the OSG by following a phased approach. We first adapt the application and run a small production campaign on a subset of “friendly” sites. Only then do we move the user to run full production campaigns across the many remote sites on the OSG, adding to the community resources up to hundreds of thousands of CPU hours per day. This scaling up generates new challenges - like no determinism in the time to job completion, and diverse errors due to the heterogeneity of the configurations and environments - so some attention is needed to get good results. We cover recent experiences with image simulation for the Large Synoptic Survey Telescope (LSST), small-file large volume data movement for the Dark Energy Survey (DES), civil engineering simulation with the Network for Earthquake Engineering Simulation (NEES), and accelerator modeling with the Electron Ion Collider group at BNL. We will categorize and analyze the use cases and describe how our processes are evolving based on lessons learned.

Teen Science Cafés: A Model for Addressing Broader Impacts, Diversity, and Recruitment

NASA Astrophysics Data System (ADS)

Hall, M.; Mayhew, M. A.

2017-12-01

Teen Science Café programs (TeenScienceCafe.org) are a free and fun way for teens to explore science and technology affecting their lives. Through lively presentations, conversation, and activities to explore a topic deeply, Café programs open doors for teens to learn from experts about exciting and rewarding STEM career pathways. The programs are local and led by teens with the help of an adult mentor. The Teen Science Café Network (teensciencecafe.org) provides mentoring and resources, including small grants, to help organizations get started with and then maintain successful "teen café" programs. Through membership in the Network, more than 80 Teen Science Cafés have sprung up across the country, from rural towns to major cities. They serve a critical need for teens - meeting and engaging with STEM professionals, learning about their career paths, and seeing their passion for the work they do. Teen Science Café programs can offer geoscience departments a substantive, yet low cost, way to meet the challenges many of them face: finding ways to increase enrollment, helping faculty satisfy the broader impacts requirements of funding agencies, connecting with the surrounding communities, and providing opportunities for faculty and graduate students to learn how to communicate their science effectively to the public audience. The typical experience of scientists who have presented in teen cafés throughout the Network is that the communication skills learned spill over into their courses, proposals, and presentations to administrators and program officers. A department might partner with one or more organizations in their surrounding communities—libraries, for example—and engage its faculty and its graduate students—and even its undergraduates—in providing geoscience programming across multiple disciplines to local teens. Besides the internal benefits to the department's personnel and the value of establishing connections with community organizations, the impact of such engagement might well be attracting students to the department. We seek geoscience departments that are interested in this concept and willing to join the Teen Science Café Network (TeenScienceCafe.org) and participate in a study of how Teen Science Cafés may impact undergraduate recruitment to their departments.

Growing a professional network to over 3000 members in less than 4 years: evaluation of InspireNet, British Columbia's virtual nursing health services research network.

PubMed

Frisch, Noreen; Atherton, Pat; Borycki, Elizabeth; Mickelson, Grace; Cordeiro, Jennifer; Novak Lauscher, Helen; Black, Agnes

2014-02-21

Use of Web 2.0 and social media technologies has become a new area of research among health professionals. Much of this work has focused on the use of technologies for health self-management and the ways technologies support communication between care providers and consumers. This paper addresses a new use of technology in providing a platform for health professionals to support professional development, increase knowledge utilization, and promote formal/informal professional communication. Specifically, we report on factors necessary to attract and sustain health professionals' use of a network designed to increase nurses' interest in and use of health services research and to support knowledge utilization activities in British Columbia, Canada. "InspireNet", a virtual professional network for health professionals, is a living laboratory permitting documentation of when and how professionals take up Web 2.0 and social media. Ongoing evaluation documents our experiences in establishing, operating, and evaluating this network. Overall evaluation methods included (1) tracking website use, (2) conducting two member surveys, and (3) soliciting member feedback through focus groups and interviews with those who participated in electronic communities of practice (eCoPs) and other stakeholders. These data have been used to learn about the types of support that seem relevant to network growth. Network growth exceeded all expectations. Members engaged with varying aspects of the network's virtual technologies, such as teams of professionals sharing a common interest, research teams conducting their work, and instructional webinars open to network members. Members used wikis, blogs, and discussion groups to support professional work, as well as a members' database with contact information and areas of interest. The database is accessed approximately 10 times per day. InspireNet public blog posts are accessed roughly 500 times each. At the time of writing, 21 research teams conduct their work virtually using the InspireNet platform; 10 topic-based Action Teams meet to address issues of mutual concern. Nursing and other health professionals, even those who rated themselves as computer literate, required significant mentoring and support in their efforts to adopt their practice to a virtual environment. There was a steep learning curve for professionals to learn to work in a virtual environment and to benefit from the available technologies. Virtual professional networks can be positioned to make a significant contribution to ongoing professional practice and to creating environments supportive of information sharing, mentoring, and learning across geographical boundaries. Nonetheless, creation of a Web 2.0 and social media platform is not sufficient, in and of itself, to attract or sustain a vibrant community of professionals interested in improving their practice. Essential support includes instruction in the use of Web-based activities and time management, a biweekly e-Newsletter, regular communication from leaders, and an annual face-to-face conference.

Recovering time-varying networks of dependencies in social and biological studies.

PubMed

Ahmed, Amr; Xing, Eric P

2009-07-21

A plausible representation of the relational information among entities in dynamic systems such as a living cell or a social community is a stochastic network that is topologically rewiring and semantically evolving over time. Although there is a rich literature in modeling static or temporally invariant networks, little has been done toward recovering the network structure when the networks are not observable in a dynamic context. In this article, we present a machine learning method called TESLA, which builds on a temporally smoothed l(1)-regularized logistic regression formalism that can be cast as a standard convex-optimization problem and solved efficiently by using generic solvers scalable to large networks. We report promising results on recovering simulated time-varying networks and on reverse engineering the latent sequence of temporally rewiring political and academic social networks from longitudinal data, and the evolving gene networks over >4,000 genes during the life cycle of Drosophila melanogaster from a microarray time course at a resolution limited only by sample frequency.

Costs and benefits of connecting community physicians to a hospital WAN.

PubMed Central

Kouroubali, A.; Starren, J. B.; Clayton, P. D.

1998-01-01

The Washington Heights-Inwood Community Health Management Information System (WHICHIS) at the Columbia-Presbyterian Medical Center (CPMC) provides 15 community physician practices with seamless networking to the CPMC Wide-Area Network. The costs and benefits of the project were evaluated. Installation costs, including hardware, office management software, cabling, network routers, ISDN connection and personnel time, averaged $22,902 per office. Maintenance and support costs averaged $6,293 per office per year. These costs represent a "best-case" scenario after a several year learning curve. Participating physicians were interviewed to assess the impact of the project. Access to the CPMC Clinical Information System (CIS) was used by 87%. Other resource usage was: non-CPMC Web-based resources, 80%; computer billing, 73%; Medline and drug information databases, 67%; and, electronic mail, 60%. The most valued feature of the system was access to the CPMC CIS. The second most important was the automatic connection provided by routed ISDN. Frequency of access to the CIS averaged 6.67 days/month. Physicians reported that the system had significantly improved their practice of medicine. We are currently exploring less expensive options to provide this functionality. PMID:9929211

The Community for Data Integration (CDI): Building Knowledge, Networks, and Integrated Science Capacity

NASA Astrophysics Data System (ADS)

Hsu, L.

2017-12-01

In 2009, the U.S. Geological Survey determined that a focused effort on data integration was necessary to capture the full scientific potential of its topically and geographically diverse data assets. The Community for Data Integration was established to fill this role, and an emphasis emerged on grassroots learning and solving of shared data integration and management challenges. Now, eight years later, the CDI has grown to over 700 members and runs monthly presentations, working groups, special training events, and an annual USGS-wide grants program. With a diverse membership of scientists, technologists, data managers, program managers, and others, there are a wide range of motivations and interests competing to drive the direction of the community. Therefore, an important role of the community coordinators is to prioritize member interests while valuing and considering many different viewpoints. To do this, new tools and mechanisms are frequently introduced to circulate information and obtain community input and feedback. The coordinators then match community interests with opportunities to address USGS priorities. As a result, the community has facilitated the implementation of USGS-wide data policies and data management procedures, produced guidelines and lessons learned for technologies like mobile applications and use of semantic web technologies, and developed technical recommendations to enable integrated science capacity for USGS leadership.

Exploring the potential of machine learning to break deadlock in convection parameterization

NASA Astrophysics Data System (ADS)

Pritchard, M. S.; Gentine, P.

2017-12-01

We explore the potential of modern machine learning tools (via TensorFlow) to replace parameterization of deep convection in climate models. Our strategy begins by generating a large ( 1 Tb) training dataset from time-step level (30-min) output harvested from a one-year integration of a zonally symmetric, uniform-SST aquaplanet integration of the SuperParameterized Community Atmosphere Model (SPCAM). We harvest the inputs and outputs connecting each of SPCAM's 8,192 embedded cloud-resolving model (CRM) arrays to its host climate model's arterial thermodynamic state variables to afford 143M independent training instances. We demonstrate that this dataset is sufficiently large to induce preliminary convergence for neural network prediction of desired outputs of SP, i.e. CRM-mean convective heating and moistening profiles. Sensitivity of the machine learning convergence to the nuances of the TensorFlow implementation are discussed, as well as results from pilot tests from the neural network operating inline within the SPCAM as a replacement to the (super)parameterization of convection.

Public Participation, Education, and Engagement in Drought Planning

NASA Astrophysics Data System (ADS)

Bathke, D. J.; Wall, N.; Haigh, T.; Smith, K. H.; Bernadt, T.

2014-12-01

Drought is a complex problem that typically goes beyond the capacity, resources, and jurisdiction of any single person, program, organization, political boundary, or sector. Thus, by nature, monitoring, planning for, and reducing drought risk must be a collaborative process. The National Drought Mitigation Center, in partnership with the National Integrated Drought Information System (NIDIS) Program Office and others, provides active engagement and education drought professionals, stakeholders, and the general public about managing drought-related risks through resilience planning, monitoring, and education. Using case studies, we discuss recruitment processes, network building, participation techniques, and educational methods as they pertain to a variety of unique audiences with distinct objectives. Examples include collaborative decision-making at a World Meteorological Organization conference; planning, and peer-learning among drought professionals in a community of practice; drought condition monitoring through citizen science networks; research and education dissemination with stakeholder groups; and informal learning activities for all ages. Finally, we conclude with evaluation methods, indicators of success, and lessons learned for increasing the effectiveness of our programs in increasing drought resilience.

Visual social network analysis: effective approach to model complex human social, behaviour & culture.

PubMed

Ahram, Tareq Z; Karwowski, Waldemar

2012-01-01

The advent and adoption of internet-based social networking has significantly altered our daily lives. The educational community has taken notice of the positive aspects of social networking such as creation of blogs and to support groups of system designers going through the same challenges and difficulties. This paper introduces a social networking framework for collaborative education, design and modeling of the next generation of smarter products and services. Human behaviour modeling in social networking application aims to ensure that human considerations for learners and designers have a prominent place in the integrated design and development of sustainable, smarter products throughout the total system lifecycle. Social networks blend self-directed learning and prescribed, existing information. The self-directed element creates interest within a learner and the ability to access existing information facilitates its transfer, and eventual retention of knowledge acquired.

Network analysis of physics discussion forums and links to course success

NASA Astrophysics Data System (ADS)

Traxler, Adrienne; Gavrin, Andrew; Lindell, Rebecca

2017-01-01

Large introductory science courses tend to isolate students, with negative consequences for long-term retention in college. Many active learning courses build collaboration and community among students as an explicit goal, and social network analysis has been used to track the development and beneficial effects of these collaborations. Here we supplement such work by conducting network analysis of online course discussion forums in two semesters of an introductory physics class. Online forums provide a tool for engaging students with each other outside of class, and offer new opportunities to commuter or non-traditional students with limited on-campus time. We look for correlations between position in the forum network (centrality) and final course grades. Preliminary investigation has shown weak correlations in the very dense full-semester network, so we will consider reduced ''backbone'' networks that highlight the most consistent links between students. Future work and implications for instruction will also be discussed.

The Evaluation of a Regional Faith Community Network's Million Hearts Program.

PubMed

Cooper, Jennifer; Zimmerman, Wendy

2016-01-01

The goal of the Million Hearts initiative is to prevent one million heart attacks and strokes by 2017. Maryland was one state in the Association of State and Territorial Health Official's Million Hearts State Learning Collaborative. Washington County, Maryland formed a collaboration between the County Health Department, Meritus Health System, and the Meritus Health Parish Nurse Coordinator to address hypertension in the county. Within a regional network of 52 faith communities, the Parish Nurse Coordinator recruited 25 faith community nurses to participate in a three-month program. Nurses were trained on proper blood pressure measurement and 22 nurses identified 58 participants engaged in blood pressure self-monitoring and coaching for lifestyle changes. Additionally, nurses took 1,729 blood pressures and provided health education to individuals within their congregations. Fifty-one participants participated in blood pressure self-monitoring and lifestyle coaching with faith community nurses. There was improvement in six out of seven lifestyle areas. Eight-two percent of participants (N = 42) decreased their systolic and/or diastolic blood pressure over three months. Coaching provided by faith community nurses can create an environment of sustained support to promote improved lifestyle and blood pressure changes over time. © 2015 Wiley Periodicals, Inc.

Building Pipelines for Information: Developing Partnerships Between Scientists, Educators, and Community Groups to Learn More About Hydraulic Fracturing in Colorado

NASA Astrophysics Data System (ADS)

Hafich, K. A.; Hannigan, M.; Martens, W.; McDonald, J. E.; Knight, D.; Gardiner, L. S.; Collier, A. M.; Fletcher, H.; Polmear, M.

2015-12-01

Hydraulic fracturing is a highly contentious issue, and trusted sources of information about the impacts and benefits are difficult to find. Scientific research is making strides to catch up with rapidly expanding unconventional oil and gas development, in part, to meet the need for information for policy, regulation, and public interest. A leader in hydraulic fracturing research, the AirWaterGas Sustainability Research Network is a multi-institution, multi-disciplinary team of researchers working to understand the environmental, economic, and social tradeoffs of oil and gas development. AirWaterGas recently restructured and implemented our education and outreach program around a partnership with the CU-Boulder Office for Outreach and Engagement that leverages existing campus infrastructure, networks, and expertise to disseminate research results and engage the public. The education and outreach team is working with formal and informal K-12 educators through several programs: a yearlong teacher professional development program, a rural classroom air quality monitoring program, and a community partnership grant program. Each program brings together scientists and educators in different environments such as the classroom, online learning, in-person workshops, and community lectures. We will present best practices for developing and implementing a viable outreach and education program through building and fostering mutually beneficial partnerships that bridge the gap between scientists and the public.

Evolutionary Approach of Virtual Communities of Practice: A Reflection within a Network of Spanish Rural Schools

NASA Astrophysics Data System (ADS)

Frossard, Frédérique; Trifonova, Anna; Barajas Frutos, Mario

The isolation of rural communities creates special necessities for teachers and students in rural schools. The present article describes "Rural Virtual School", a Virtual Community of Practice (VCoP) in which Spanish teachers of rural schools share learning resources and teaching methodologies through social software applications. The article arrives to an evolutionary model, in which the use of the social software tools evolves together with the needs and the activities of the VCoP through the different stages of its lifetime. Currently, the community has reached a high level of maturity and, in order to keep its momentum, the members intentionally use appropriate technologies specially designed to enhance rich innovative educational approaches, through which they collaboratively generate creative practices.

The educational impact of the Specialty Care Access Network-Extension of Community Healthcare Outcomes program.

PubMed

Salgia, Reena J; Mullan, Patricia B; McCurdy, Heather; Sales, Anne; Moseley, Richard H; Su, Grace L

2014-11-01

With the aging hepatitis C cohort and increasing prevalence of fatty liver disease, the burden on primary care providers (PCPs) to care for patients with liver disease is growing. In response, the Veterans Administration implemented initiatives for primary care-specialty referral to increase PCP competency in complex disease management. The Specialty Care Access Network-Extension of Community Healthcare Outcomes (SCAN-ECHO) program initiative was designed to transfer subspecialty knowledge to PCPs through case-based distance learning combined with real-time consultation. There is limited information regarding the initiative's ability to engage PCPs to learn and influence their practice. We surveyed PCPs to determine the factors that led to their participation in this program and the educational impact of participation. Of 51 potential participants, 24 responded to an anonymous survey. More than 75% of respondents participated more than one time in a SCAN-ECHO clinic. Providers were motivated to participate by a desire to learn more about liver disease, to apply the knowledge gained to future patients, and to save their patients time traveling to another center for specialty consultation. Seventy-one percent responded that the didactic component and case-based discussion were equally important. It is important that participation changed clinical practice: 75% of providers indicated they had personally discussed the information they learned from the case presentations with their colleague(s), and 42% indicated they helped a colleague care for their patient with the knowledge learned during discussions of other participants' cases. This study shows that the SCAN-ECHO videoconferencing program between PCPs and specialists can educate providers in the delivery of specialty care from a distance and potentially improve healthcare delivery.

NASA’s Universe of Learning: Connecting Scientists, Educators, and Learners

NASA Astrophysics Data System (ADS)

Smith, Denise A.; Lestition, Kathleen; Squires, Gordon K.; Greene, W. M.; Biferno, Anya A.; Cominsky, Lynn R.; Goodman, Irene; Walker, Allyson; Universe of Learning Team

2017-01-01

NASA’s Universe of Learning (UoL) is one of 27 competitively awarded education programs selected by NASA’s Science Mission Directorate (SMD) in its newly restructured education effort. Through these 27 programs, SMD aims to infuse NASA science experts and content more effectively and efficiently into learning environments serving audiences of all ages. UoL is a unique partnership between the Space Telescope Science Institute, Chandra X-ray Center, IPAC at Caltech, Jet Propulsion Laboratory Exoplanet Exploration Program, and Sonoma State University that will connect the scientists, engineers, science, technology and adventure of NASA Astrophysics with audience needs, proven infrastructure, and a network of partners to advance SMD education objectives. External evaluation is provided through a partnership with Goodman Research Group and Cornerstone Evaluation Associates. The multi-institutional team is working to develop and deliver a unified, consolidated and externally evaluated suite of education products, programs, and professional development offerings that spans the full spectrum of NASA Astrophysics, including the Cosmic Origins, Physics of the Cosmos, and Exoplanet Exploration themes. Products and programs focus on out-of-school-time learning environments and include enabling educational use of Astrophysics mission data and offering participatory experiences; creating multimedia and immersive experiences; designing exhibits and community programs; and producing resources for special needs and underserved/underrepresented audiences. The UoL team also works with a network of partners to provide professional learning experiences for informal educators, pre-service educators, and undergraduate instructors. This presentation will provide an overview of the UoL team’s approach to partnering scientists and educators to engage learners in Astrophysics discoveries and data; progress to date; and pathways for science community involvement.

"Everyone should be able to choose how they get around": how Topeka, Kansas, passed a complete streets resolution.

PubMed

Dodson, Elizabeth A; Langston, Marvin; Cardick, Lauren C; Johnson, Nancy; Clayton, Paula; Brownson, Ross C

2014-02-20

Regular physical activity can help prevent chronic diseases, yet only half of US adults meet national physical activity guidelines. One barrier to physical activity is a lack of safe places to be active, such as bike paths and sidewalks. Complete Streets, streets designed to enable safe access for all users, can help provide safe places for activity. This community case study presents results from interviews with residents and policymakers of Topeka, Kansas, who played an integral role in the passage of a Complete Streets resolution in 2009. It describes community engagement processes used to include stakeholders, assess existing roads and sidewalks, and communicate with the public and decision-makers. Key informant interviews were conducted with city council members and members of Heartland Healthy Neighborhoods in Topeka to learn how they introduced a Complete Streets resolution and the steps they took to ensure its successful passage in the City Council. Interviews were recorded, transcribed, and analyzed by using focused-coding qualitative analysis. Results included lessons learned from the process of passing the Complete Streets resolution and advice from participants for other communities interested in creating Complete Streets in their communities. Lessons learned can apply to other communities pursuing Complete Streets. Examples include clearly defining Complete Streets; educating the public, advocates, and decision-makers about Complete Streets and how this program enhances a community; building a strong and diverse network of supporters; and using stories and examples from other communities with Complete Streets to build a convincing case.

Automated Depression Analysis Using Convolutional Neural Networks from Speech.

PubMed

He, Lang; Cao, Cui

2018-05-28

To help clinicians to efficiently diagnose the severity of a person's depression, the affective computing community and the artificial intelligence field have shown a growing interest in designing automated systems. The speech features have useful information for the diagnosis of depression. However, manually designing and domain knowledge are still important for the selection of the feature, which makes the process labor consuming and subjective. In recent years, deep-learned features based on neural networks have shown superior performance to hand-crafted features in various areas. In this paper, to overcome the difficulties mentioned above, we propose a combination of hand-crafted and deep-learned features which can effectively measure the severity of depression from speech. In the proposed method, Deep Convolutional Neural Networks (DCNN) are firstly built to learn deep-learned features from spectrograms and raw speech waveforms. Then we manually extract the state-of-the-art texture descriptors named median robust extended local binary patterns (MRELBP) from spectrograms. To capture the complementary information within the hand-crafted features and deep-learned features, we propose joint fine-tuning layers to combine the raw and spectrogram DCNN to boost the depression recognition performance. Moreover, to address the problems with small samples, a data augmentation method was proposed. Experiments conducted on AVEC2013 and AVEC2014 depression databases show that our approach is robust and effective for the diagnosis of depression when compared to state-of-the-art audio-based methods. Copyright © 2018. Published by Elsevier Inc.

Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.

PubMed

Kushibar, Kaisar; Valverde, Sergi; González-Villà, Sandra; Bernal, Jose; Cabezas, Mariano; Oliver, Arnau; Lladó, Xavier

2018-06-15

Sub-cortical brain structure segmentation in Magnetic Resonance Images (MRI) has attracted the interest of the research community for a long time as morphological changes in these structures are related to different neurodegenerative disorders. However, manual segmentation of these structures can be tedious and prone to variability, highlighting the need for robust automated segmentation methods. In this paper, we present a novel convolutional neural network based approach for accurate segmentation of the sub-cortical brain structures that combines both convolutional and prior spatial features for improving the segmentation accuracy. In order to increase the accuracy of the automated segmentation, we propose to train the network using a restricted sample selection to force the network to learn the most difficult parts of the structures. We evaluate the accuracy of the proposed method on the public MICCAI 2012 challenge and IBSR 18 datasets, comparing it with different traditional and deep learning state-of-the-art methods. On the MICCAI 2012 dataset, our method shows an excellent performance comparable to the best participant strategy on the challenge, while performing significantly better than state-of-the-art techniques such as FreeSurfer and FIRST. On the IBSR 18 dataset, our method also exhibits a significant increase in the performance with respect to not only FreeSurfer and FIRST, but also comparable or better results than other recent deep learning approaches. Moreover, our experiments show that both the addition of the spatial priors and the restricted sampling strategy have a significant effect on the accuracy of the proposed method. In order to encourage the reproducibility and the use of the proposed method, a public version of our approach is available to download for the neuroimaging community. Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Using social media to enhance career development opportunities for health promotion professionals.

PubMed

Roman, Leah A

2014-07-01

For health promotion professionals, social media offers many ways to engage with a broader range of colleagues; participate in professional development events; promote expertise, products, or services; and learn about career-enhancing opportunities such as funding and fellowships. Previous work has recommended "building networking into what you are already doing." This article provides updated and new social media resources, as well as practical examples and strategies to promote effective use of social media. Social media offers health promotion professionals cost-effective opportunities to enhance their career by building communities of practice, participating in professional development events, and enriching classroom learning. Developing the skills necessary to use social media for networking is important in the public health workforce, especially as social media is increasingly used in academic and practice settings. © 2014 Society for Public Health Education.

Learning to Select Supplier Portfolios for Service Supply Chain

PubMed Central

Zhang, Rui; Li, Jingfei; Wu, Shaoyu; Meng, Dabin

2016-01-01

The research on service supply chain has attracted more and more focus from both academia and industrial community. In a service supply chain, the selection of supplier portfolio is an important and difficult problem due to the fact that a supplier portfolio may include multiple suppliers from a variety of fields. To address this problem, we propose a novel supplier portfolio selection method based on a well known machine learning approach, i.e., Ranking Neural Network (RankNet). In the proposed method, we regard the problem of supplier portfolio selection as a ranking problem, which integrates a large scale of decision making features into a ranking neural network. Extensive simulation experiments are conducted, which demonstrate the feasibility and effectiveness of the proposed method. The proposed supplier portfolio selection model can be applied in a real corporation easily in the future. PMID:27195756

Mediating Data and Building Community for Informed, Intelligent Decision Making for the Polar Regions

NASA Astrophysics Data System (ADS)

Pulsifer, P. L.; Stieglitz, M.

2017-12-01

Much has been written about the state of data and related systems for the polar regions, however work remains to be done to achieve an envisioned integrated and well-defined pan-Arctic observing and data network that enables access to high quality data, expertise and information in support of scientific understanding, stakeholder needs, and agency operations. In this paper we argue that priorities for establishing such a network are in the area of machine-enhanced data mediation and the human aspects of community building. The authors have engaged in a U.S.-based, multi-agency process with the goal of applying modern cyberinfrastructure to improve capabilities for integrating data. A particular case-study focuses on establishing a carbon budget for the Arctic region. This effort contributes to broader global efforts aimed at establishing an international observing and data network. Results are based on a series meetings, workshops, systems design activities, and publications. Analysis reveals that there are a large number of polar data resources interacting in a network that functions as a data ecosystem. Given the size and complexity of the network, achieving broad data discovery and access and meaningful data integration (i.e. developing a carbon budget) will require advanced techniques including machine learning, semantic mediation, and the use of highly connected virtual research environments. To achieve the aforementioned goal will require a community of engaged researchers, technologists, and stakeholders to establish requirements and the social and organizational context needed for effective machine-based approaches. The results imply that: i) the polar research and application community must be more aware of advances in technology; ii) funders must adopt a long-term, sustainable infrastructure approach to systems development; iii) the community must work together to enable interoperability; iv) we must recognize that the challenge is socio-technical and that social and community-building aspects are as important as technology. Establishing cyberinfrastructure for informed, intelligent decision making for the polar regions will require an innovative combination of emerging technologies and community-building across stakeholders.

The Use of Facebook to Build a Community for Distance Learning Students: A Case Study from the Open University

ERIC Educational Resources Information Center

Callaghan, George; Fribbance, Ian

2016-01-01

Social media platforms such as Facebook are commonplace throughout society. However, within higher education institutions such networking environments are still in the developmental stage. This paper describes and discusses case study data from the Open University's Faculty of Social Science Facebook page. It starts by giving an overview of the…

Teach Ourselves: Social Networks for CS Stem Education

DTIC Science & Technology

2014-12-01

with peers. Teach Ourselves includes features that were inspired by recent research on the engaging properties of computer games , including the chance...15 i 1.0 SUMMARY In an online learning community (“ Teach Ourselves...content shared and viewed on the Internet, including text, images, videos and even home-authored games . The ease with which content can now be created

Action Learning as a Core Process for SME Business Support

ERIC Educational Resources Information Center

Powell, James A.; Houghton, Jane

2008-01-01

This is an account the work of NetworkNorthWest, a [pound]1m project at the University of Salford that ran between 2004 and 2007 and was developed to address the issues relating to poor take up of traditional business support by small to medium-sized enterprises (SMEs) and low levels of engagement of the business community with Institutes of…

Establishing a community of practice of researchers, practitioners, policy-makers and communities to sustainably manage environmental health risks in Ecuador.

PubMed

Spiegel, Jerry M; Breilh, Jaime; Beltran, Efrain; Parra, Jorge; Solis, Fernanda; Yassi, Annalee; Rojas, Alejandro; Orrego, Elena; Henry, Bonnie; Bowie, William R; Pearce, Laurie; Gaibor, Juan; Velasquez, Patricio; Concepcion, Miriam; Parkes, Margot

2011-11-08

The Sustainably Managing Environmental Health Risk in Ecuador project was launched in 2004 as a partnership linking a large Canadian university with leading Cuban and Mexican institutes to strengthen the capacities of four Ecuadorian universities for leading community-based learning and research in areas as diverse as pesticide poisoning, dengue control, water and sanitation, and disaster preparedness. In implementing curriculum and complementary innovations through application of an ecosystem approach to health, our interdisciplinary international team focused on the question: "Can strengthening of institutional capacities to support a community of practice of researchers, practitioners, policy-makers and communities produce positive health outcomes and improved capacities to sustainably translate knowledge?" To assess progress in achieving desired outcomes, we review results associated with the logic framework analysis used to guide the project, focusing on how a community of practice network has strengthened implementation, including follow-up tracking of program trainees and presentation of two specific case studies. By 2009, train-the-trainer project initiation involved 27 participatory action research Master's theses in 15 communities where 1200 community learners participated in the implementation of associated interventions. This led to establishment of innovative Ecuadorian-led master's and doctoral programs, and a Population Health Observatory on Collective Health, Environment and Society for the Andean region based at the Universidad Andina Simon Bolivar. Building on this network, numerous initiatives were begun, such as an internationally funded research project to strengthen dengue control in the coastal community of Machala, and establishment of a local community eco-health centre focusing on determinants of health near Cuenca. Strengthening capabilities for producing and applying knowledge through direct engagement with affected populations and decision-makers provides a fertile basis for consolidating capacities to act on a larger scale. This can facilitate the capturing of benefits from the "top down" (in consolidating institutional commitments) and the "bottom up" (to achieve local results). Alliances of academic and non-academic partners from the South and North provide a promising orientation for learning together about ways of addressing negative trends of development. Assessing the impacts and sustainability of such processes, however, requires longer term monitoring of results and related challenges.

Learning in networks: individual teacher learning versus organizational learning in a regional health-promoting schools network.

PubMed

Flaschberger, Edith; Gugglberger, Lisa; Dietscher, Christina

2013-12-01

To change a school into a health-promoting organization, organizational learning is required. The evaluation of an Austrian regional health-promoting schools network provides qualitative data on the views of the different stakeholders on learning in this network (steering group, network coordinator and representatives of the network schools; n = 26). Through thematic analysis and deep-structure analyses, the following three forms of learning in the network were identified: (A) individual learning through input offered by the network coordination, (B) individual learning between the network schools, i.e. through exchange between the representatives of different schools and (C) learning within the participating schools, i.e. organizational learning. Learning between (B) or within the participating schools (C) seems to be rare in the network; concepts of individual teacher learning are prevalent. Difficulties detected relating to the transfer of information from the network to the member schools included barriers to organizational learning such as the lack of collaboration, coordination and communication in the network schools, which might be effects of the school system in which the observed network is located. To ensure connectivity of the information offered by the network, more emphasis should be put on linking health promotion to school development and the core processes of schools.

Sharing is Winning: Cooperative Learning about Atmospheric Composition Change

NASA Astrophysics Data System (ADS)

Schuepbach, E.

2010-09-01

This contribution presents evolving good practice in disseminating the body of know-how, skills and competencies within the networked community of atmospheric scientists as established in ACCENT. The promotion of early-career scientists, and encouraging the next generation to move into the field were among the key issues addressed by the "Training and Education" programme in the European Network of Excellence in Atmospheric Composition Change (ACCENT). Dissemination avenues include a virtual knowledge train carrying the wealth of high-quality scientific learning material developed with experts involved in the ACCENT network. Learning opportunities on current research in atmospheric composition change in Europe were also created during face-to-face training workshops. Real-life examples of pressing air quality issues were addressed in meetings with stakeholder groups that offered opportunities for mutual learning in inspiring partnerships. In order to increase the expertise in atmospheric composition change across Europe, activities were organized with the general public (e.g., Café Scientifique), where the participating early-career scientists were confronted with questions from lay people. For interested teachers, didactic translations of compact overviews on air quality science topics developed in ACCENT offer links with the typical European science curriculum and go beyond school book content. Some of the educational events, methods and tools are described in a booklet published in 2009 ("We Care for Clean Air!", ISBN 978-88-95665-01-6). The electronic version and all training material can be downloaded from www.accent-network.org/portal/education - a valuable resource for teachers and learners around the globe.

Modeling the Emergence of Lexicons in Homesign Systems

PubMed Central

Richie, Russell; Yang, Charles; Coppola, Marie

2014-01-01

It is largely acknowledged that natural languages emerge from not just human brains, but also from rich communities of interacting human brains (Senghas, 2005). Yet the precise role of such communities and such interaction in the emergence of core properties of language has largely gone uninvestigated in naturally emerging systems, leaving the few existing computational investigations of this issue at an artificial setting. Here we take a step towards investigating the precise role of community structure in the emergence of linguistic conventions with both naturalistic empirical data and computational modeling. We first show conventionalization of lexicons in two different classes of naturally emerging signed systems: (1) protolinguistic “homesigns” invented by linguistically isolated Deaf individuals, and (2) a natural sign language emerging in a recently formed rich Deaf community. We find that the latter conventionalized faster than the former. Second, we model conventionalization as a population of interacting individuals who adjust their probability of sign use in response to other individuals' actual sign use, following an independently motivated model of language learning (Yang 2002, 2004). Simulations suggest that a richer social network, like that of natural (signed) languages, conventionalizes faster than a sparser social network, like that of homesign systems. We discuss our behavioral and computational results in light of other work on language emergence, and other work of behavior on complex networks. PMID:24482343

A Collaborative Diagonal Learning Network: The role of formal and informal professional development in elementary science reform

NASA Astrophysics Data System (ADS)

Cooke-Nieves, Natasha Anika

Science education research has consistently shown that elementary teachers have a low self-efficacy and background knowledge to teach science. When they teach science, there is a lack of field experiences and inquiry-based instruction at the elementary level due to limited resources, both material and pedagogical. This study focused on an analysis of a professional development (PD) model designed by the author known as the Collaborative Diagonal Learning Network (CDLN). The purpose of this study was to examine elementary school teacher participants pedagogical content knowledge related to their experiences in a CDLN model. The CDLN model taught formal and informal instruction using a science coach and an informal educational institution. Another purpose for this research included a theoretical analysis of the CDLN model to see if its design enabled teachers to expand their resource knowledge of available science education materials. The four-month-long study used qualitative data obtained during an in-service professional development program facilitated by a science coach and educators from a large natural history museum. Using case study as the research design, four elementary school teachers were asked to evaluate the effectiveness of their science coach and museum educator workshop sessions. During the duration of this study, semi-structured individual/group interviews and open-ended pre/post PD questionnaires were used. Other data sources included researcher field notes from lesson observations, museum field trips, audio-recorded workshop sessions, email correspondence, and teacher-created artifacts. The data were analyzed using a constructivist grounded theory approach. Themes that emerged included increased self-efficacy; increased pedagogical content knowledge; increased knowledge of museum education resources and access; creation of a professional learning community; and increased knowledge of science notebooking. Implications for formal and informal professional development in elementary science reform are offered. It is suggested that researchers investigate collaborative coaching through the lenses of organizational learning network theory, and develop professional learning communities with formal and informal educators; and that professional developers in city school systems and informal science institutions work in concert to produce more effective elementary teachers who not only love science but love teaching it.

How do German veterinarians use social networks? A study, using the example of the 'NOVICE' veterinary medicine network.

PubMed

Schaper, Elisabeth; Forrest, Neil D; Tipold, Andrea; Ehlers, Jan P

2013-01-01

NOVICE (Network Of Veterinary ICT in Education, http://www.noviceproject.eu/), is a professional online social network for veterinarians, lecturers and students of veterinary medicine as well as for e-Learning advisers and others working in establishments that teach veterinary medicine. This study sets out to investigate to what extent German veterinarians, lecturers, students of veterinary medicine and e-Learning representatives would accept a specialist network, what requirements would have to be met by an online social network, how to use web 2.0 tools [21], [30] and what advantages a specialist network could offer. The investigation was carried out by analysing data from the Elgg platform database as well as using Google Analytics. Annual focus group surveys and individual interviews were carried out in order to perform an analysis of acceptance among network users. 1961 users from 73 different countries registered on the NOVICE site between 1 September 2010 and 21 March 2012. Germany represents the biggest user group, with 565 users (28.81%). During this period, most individual hits on the website came from Germany too. In total, 24.83% of all members are active, while 19.22% of German members participate actively. In terms of gender, there are significantly more female members than male members, both in the NOVICE network as a whole as well as in Germany. The most used web 2.0 tools are chat and email messaging services as well as writing wikis and contributing to forum discussions. The focus group surveys showed that respondents generally make use of other online communities too. Active members generally use more web 2.0 tools than in other networks, while passive members are generally more reluctant in all networks. All participants of the survey welcomed the idea of having a network specifically set up for the profession and believe that it could be very useful for veterinary medicine. The network and its membership figures developed very positively during the assessed time period. Until now, the focus of the content of contributions in NOVICE (Network of Veterinary ICT in Education) has been on veterinary medicine teaching supported by e-Learning. An increase in the number of members would, however, be beneficial in order to further develop the network so that valuable exchange of information and informal learning can also take place in other specialist areas of veterinary medicine.

How do German veterinarians use social networks? A study, using the example of the 'NOVICE' veterinary medicine network

PubMed Central

Schaper, Elisabeth; Forrest, Neil D.; Tipold, Andrea; Ehlers, Jan P.

2013-01-01

Objective: NOVICE (Network Of Veterinary ICT in Education, http://www.noviceproject.eu/), is a professional online social network for veterinarians, lecturers and students of veterinary medicine as well as for e-Learning advisers and others working in establishments that teach veterinary medicine. This study sets out to investigate to what extent German veterinarians, lecturers, students of veterinary medicine and e-Learning representatives would accept a specialist network, what requirements would have to be met by an online social network, how to use web 2.0 tools [21], [30] and what advantages a specialist network could offer. Methodology: The investigation was carried out by analysing data from the Elgg platform database as well as using Google Analytics. Annual focus group surveys and individual interviews were carried out in order to perform an analysis of acceptance among network users. Results: 1961 users from 73 different countries registered on the NOVICE site between 1 September 2010 and 21 March 2012. Germany represents the biggest user group, with 565 users (28.81%). During this period, most individual hits on the website came from Germany too. In total, 24.83% of all members are active, while 19.22% of German members participate actively. In terms of gender, there are significantly more female members than male members, both in the NOVICE network as a whole as well as in Germany. The most used web 2.0 tools are chat and email messaging services as well as writing wikis and contributing to forum discussions. The focus group surveys showed that respondents generally make use of other online communities too. Active members generally use more web 2.0 tools than in other networks, while passive members are generally more reluctant in all networks. All participants of the survey welcomed the idea of having a network specifically set up for the profession and believe that it could be very useful for veterinary medicine. Conclusions: The network and its membership figures developed very positively during the assessed time period. Until now, the focus of the content of contributions in NOVICE (Network of Veterinary ICT in Education) has been on veterinary medicine teaching supported by e-Learning. An increase in the number of members would, however, be beneficial in order to further develop the network so that valuable exchange of information and informal learning can also take place in other specialist areas of veterinary medicine. PMID:23467464

Adaptive and interactive climate futures: systematic review of ‘serious games’ for engagement and decision-making

NASA Astrophysics Data System (ADS)

Flood, Stephen; Cradock-Henry, Nicholas A.; Blackett, Paula; Edwards, Peter

2018-06-01

Climate change is already having adverse impacts on ecosystems, communities and economic activities through higher temperatures, prolonged droughts, and more frequent extremes. However, a gap remains between public understanding, scientific knowledge about climate change, and changes in behaviour to effect adaptation. ‘Serious games’—games used for purposes other than entertainment—are one way to reduce this adaptation deficit by enhancing opportunities for social learning and enabling positive action. Games can provide communities with the opportunity to interactively explore different climate futures, build capability and capacity for dealing with complex challenges, and socialise adaptation priorities with diverse publics. Using systematic review methods, this paper identifies, reviews, synthesises and assesses the literature on serious games for climate change adaptation. To determine where and how impact is achieved, we draw on an evaluation framework grounded in social learning, to assess which combinations of cognitive (knowledge and thinking), normative (norms and approaches) and relational (how people connect and network building) learning are achieved. Results show that factors influencing the overall success in influencing behaviour and catalysing learning for adaptation include generating high levels of inter- and intra- level trust between researchers, practitioners and community participants; strong debriefing and evaluation practices; and the use of experienced and knowledgeable facilitators. These results can help inform future game design, and research methodologies to develop robust ways for engaging with stakeholders and end users, and enhance learning effects for resilient climate futures.

The Navajo Learning Network and the NASA Life Sciences/AFOSR Infrastructure Development Project

NASA Technical Reports Server (NTRS)

1999-01-01

The NSF-funded Navajo Learning Network project, with help from NASA Life Sciences and AFOSR, enabled Dine College to take a giant leap forward technologically - in a way that could never had been possible had these projects been managed separately. The combination of these and other efforts created a network of over 500 computers located at ten sites across the Navajo reservation. Additionally, the college was able to install a modern telephone system which shares network data, and purchase a new higher education management system. The NASA Life Sciences funds further allowed the college library system to go online and become available to the entire campus community. NSF, NASA and AFOSR are committed to improving minority access to higher education opportunities and promoting faculty development and undergraduate research through infrastructure support and development. This project has begun to address critical inequalities in access to science, mathematics, engineering and technology for Navajo students and educators. As a result, Navajo K-12 education has been bolstered and Dine College will therefore better prepare students to transfer successfully to four-year institutions. Due to the integration of the NSF and NASA/AFOSR components of the project, a unified project report is appropriate.

Fostering supportive community connections through mothers' groups and playgroups.

PubMed

Strange, Cecily; Fisher, Colleen; Howat, Peter; Wood, Lisa

2014-12-01

The aim of this study was to explore the ways that mothers' groups and playgroups support families with children aged 0-5 years and foster community connectedness in newer residential communities in Perth, Western Australia. The transition to parenthood is a time of increased support need. Changing community demography has resulted in a loss of traditional support structures and an increased need for local community initiatives to support families with young children. A qualitative descriptive design was used for this initial phase of a mixed methods sequential exploratory study. Data were collected between December 2011-August 2012. Interviews and focus groups conducted with 39 mothers provided insights from 16 mothers' groups and 13 playgroups. In addition, interviews were undertaken with three child health nurses and four local government early childhood staff. For the participants in this study, mothers' groups and playgroups provided opportunities to learn about parenting, to build a supportive network, to forge friendships and a connectedness to the local community. The families who relocated often experienced isolation until new groups and social networks were found. In general, where participation in mothers' groups and playgroups facilitated relationships with others from the local community, connectedness to that community was reported by participants to be enhanced. Mothers' groups and playgroups provide important community development opportunities and appear to help reduce potential isolation for mothers with young children. The findings are of interest to nurses and other health professionals working with families with young children. © 2014 John Wiley & Sons Ltd.

Promoting Lifelong Ocean Education: Shaping Tomorrow's Earth Stewards and the Science and Technology Workforce

NASA Technical Reports Server (NTRS)

Meeson, Blanche

2006-01-01

The coming ocean observing systems provide an unprecedented opportunity to change both the public perception of our oceans, and to inspire, captivate and motivate our children, our young adults and even our fellow adults to pursue careers allied with the oceans and to become stewards of our Planet's last unexplored environment. Education plans for the operational component, the Integrated Ocean Observing System (IOOS), and for the research component, Ocean Research Interactive Observatory Networks (ORION), are designed to take advantage of this opportunity. In both cases, community recommendations were developed within the context of the following assumptions: 1. Utilize research on how people learn, especially the four-pronged model of simultaneous learner-centered, knowledge-center, assessment-centered and community-centered learning 2. Strive for maximum impact on national needs in science and technology learning 3. Build on the best of what is already in place 4. Pay special attention to quality, sustainability, and scalability of efforts 5. Use partnerships across federal, state and local government, academia, and industry. Community recommendations for 100s and ORION education have much in common and offer the opportunity to create a coherent education effort allied with ocean observing systems. Both efforts focus on developing the science and technology workforce of the future, and the science and technology literacy of the public within the context of the Earth system and the role of the oceans and Great Lakes in that system. Both also recognize that an organized education infrastructure that supports sustainability and scalability of education efforts is required if ocean observing education efforts are to achieve a small but measurable improvement in either of these areas. Efforts have begun to develop the education infrastructure by beginning to form a community of educators from existing ocean and aquatic education networks and by exploring needs and issues associated with using ocean observing information assets in education. Likewise efforts are underway to address workforce issues by a systematic analysis of current and future workforce and educational needs. These activities will be described as will upcoming opportunities for the community to participate in these efforts.

Monitoring Seasons Through Global Learning Communities

NASA Astrophysics Data System (ADS)

Sparrow, E. B.; Robin, J. H.; Jeffries, M. O.; Gordon, L. S.; Verbyla, D. L.; Levine, E. R.

2006-12-01

Monitoring Seasons through Global Learning Communities (MSTGLC) is an inquiry- and project-based project that monitors seasons, specifically their interannual variability, in order to increase K-12 students' understanding of the Earth system by providing teacher professional development in Earth system science and inquiry, and engaging K-12 students in Earth system science research relevant to their local communities that connect globally. MSTGLC connects GLOBE students, teachers, and communities, with educators and scientists from three integrated Earth systems science programs: the International Arctic Research Center, and NASA Landsat Data Continuity and Terra Satellite Missions. The project organizes GLOBE schools by biomes into eight Global Learning Communities (GLCs) and students monitor their seasons through regional based field campaigns. The project expands the current GLOBE phenology network by adapting current protocols and making them biome-specific. In addition, ice and mosquito phenology protocols will be developed for Arctic and Tropical regions, respectively. Initially the project will focus on Tundra and Taiga biomes as phenological changes are so pronounced in these regions. However, our long-term goal is to determine similar changes in other biomes (Deciduous Forest, Desert, Grasslands, Rain Forest, Savannah and Shrubland) based upon what we learn from these two biomes. This project will also contribute to critically needed Earth system science data such as in situ ice, mosquito, and vegetation phenology measurements for ground validations of remotely sensed data, which are essential for regional climate change impact assessments. Additionally it will contribute environmental data critical to prevention and management of diseases such as malaria in Asian, African, and other countries. Furthermore, this project will enable students to participate in the International Polar Year (IPY) (2007-2009) through field campaigns conducted by students in polar regions, and web chats between IPY scientists and GLOBE students from all eight GLCs that include non-polar countries.

Toward Creation of a National Table for Aboriginal Literacy and Essential Skills (NTALES). Report on Meeting of May 27, 2014

ERIC Educational Resources Information Center

Canadian Literacy and Learning Network, 2014

2014-01-01

The Canadian Literacy and Learning Network (CLLN), in partnership with Aboriginal community leaders and literacy experts, is leading an initiative to create a National Table for Aboriginal Literacy and Essential Skills (NTALES). A potential role of the National Table will be to represent First Nation, Metis and Inuit literacy and essential skills…

17,000 Islands, One Goal: Indonesia Turns to Online Resources to Create a Network of School-Based Coaches

ERIC Educational Resources Information Center

Burns, Mary

2010-01-01

Community has taken on a new meaning for several school-based coaches spread across Indonesia. For far too long in developing countries, educators have been forced to rely on one-shot centralized professional development for teachers and those who work with them. A shortage of money, locally trained staff, and access to learning materials has made…

The Pan 13th Annual Forum

DTIC Science & Technology

2007-11-01

NOTES 14. ABSTRACT This conference grant supported the Parkinson’s Action Network (PAN)’s 13th Annual Research and Education Forum for...community. PAN’s Research and Education Forum serves as a premier educational program for Parkinson’s physicians, patients, researchers as well...participants will learn about the latest research and discuss creative ideas for new research endeavors. Fundamental to the success of the Forum is the premise

Evaluation of Facebook© to Create an Online Learning Community in an Undergraduate Animal Science Class

ERIC Educational Resources Information Center

Whittaker, Alexandra L.; Howarth, Gordon S.; Lymn, Kerry A.

2014-01-01

There has been widespread comment on the use and impact of Web 2.0 technologies in education. Given the use of such technologies, particularly social networking sites such as Facebook amongst the student body, it would be remiss of educators to not consider their use as part of a pedagogical strategy. This paper provides a preliminary…

A convolutional neural network neutrino event classifier

DOE PAGES

Aurisano, A.; Radovic, A.; Rocco, D.; ...

2016-09-01

Here, convolutional neural networks (CNNs) have been widely applied in the computer vision community to solve complex problems in image recognition and analysis. We describe an application of the CNN technology to the problem of identifying particle interactions in sampling calorimeters used commonly in high energy physics and high energy neutrino physics in particular. Following a discussion of the core concepts of CNNs and recent innovations in CNN architectures related to the field of deep learning, we outline a specific application to the NOvA neutrino detector. This algorithm, CVN (Convolutional Visual Network) identifies neutrino interactions based on their topology withoutmore » the need for detailed reconstruction and outperforms algorithms currently in use by the NOvA collaboration.« less

A convolutional neural network neutrino event classifier

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

Aurisano, A.; Radovic, A.; Rocco, D.

Here, convolutional neural networks (CNNs) have been widely applied in the computer vision community to solve complex problems in image recognition and analysis. We describe an application of the CNN technology to the problem of identifying particle interactions in sampling calorimeters used commonly in high energy physics and high energy neutrino physics in particular. Following a discussion of the core concepts of CNNs and recent innovations in CNN architectures related to the field of deep learning, we outline a specific application to the NOvA neutrino detector. This algorithm, CVN (Convolutional Visual Network) identifies neutrino interactions based on their topology withoutmore » the need for detailed reconstruction and outperforms algorithms currently in use by the NOvA collaboration.« less

Lessons Learned from Developing a Patient Engagement Panel: An OCHIN Report.

PubMed

Arkind, Jill; Likumahuwa-Ackman, Sonja; Warren, Nate; Dickerson, Kay; Robbins, Lynn; Norman, Kathy; DeVoe, Jennifer E

2015-01-01

There is renewed interest in patient engagement in clinical and research settings, creating a need for documenting and publishing lessons learned from efforts to meaningfully engage patients. This article describes early lessons learned from the development of OCHIN's Patient Engagement Panel (PEP). OCHIN supports a national network of more than 300 community health centers (CHCs) and other primary care settings that serve over 1.5 million patients annually across nearly 20 states. The PEP was conceived in 2009 to harness the CHC tradition of patient engagement in this new era of patient-centered outcomes research and to ensure that patients were engaged throughout the life cycle of our research projects, from conception to dissemination. Developed by clinicians and researchers within our practice-based research network, recruitment of patients to serve as PEP members began in early 2012. The PEP currently has a membership of 18 patients from 3 states. Over the past 24 months, the PEP has been involved with 12 projects. We describe developing the PEP and challenges and lessons learned (eg, recruitment, funding model, creating value for patient partners, compensation). These lessons learned are relevant not only for research but also for patient engagement in quality improvement efforts and other clinical initiatives. © Copyright 2015 by the American Board of Family Medicine.

The National Climate Assessment: A Treasure Trove for Education, Communications and Outreach

NASA Astrophysics Data System (ADS)

McCaffrey, M.; Berbeco, M.; Connolly, R.; Niepold, F., III; Poppleton, K. L. I.; Cloyd, E.; Ledley, T. S.

2014-12-01

Required by Congress under the Global Change Act of 1990 to inform the nation on the findings of current climate research, the Third U.S. National Climate Assessment (NCA), released in May 2014, is a rich resource for climate change education, communications and outreach (ECO). Using a website design with mobile applications in mind, NCA takes advantage of mobile learning technology which is revolutionizing how, when and where learning occurs. In an effort to maximize the "teachable moments" inherent in the assessment, a community of experts from the National Center for Science Education and the CLEAN Network, working under the auspices of the National Climate Assessment Network (NCAnet) Education Affinity Group, have developed a series of NCA Learning Pathways that match key NCA messages and resources with reviewed educational materials and trusted online information sources, thereby adding pedagogical depth to the assessment. The NCA Learning Pathways, which focus on the regional chapters of the report, are designed make climate change science more local, human, relevant and, if properly framed by educators and communicators, hopeful for learners. This paper touches on the challenges and opportunities of infusing climate education, communications and outreach into curriculum and society, and details the development and content of NCA Learning Pathways, which are available online through NOAA's Climate.gov website: http://www.climate.gov/teaching

Lessons Learned from the Niger Delta Conflict: A Policy Recommendation for a New Framework for Relations Between Extractive Companies and Host Communities

NASA Astrophysics Data System (ADS)

Gilman, Alison

The tumultuous experience of the Shell Petroleum Development Company of Nigeria Ltd (SPDC) in the Niger Delta region of Nigeria has contributed to the debates surrounding the role of transnational companies in their host communities and the impact that resource extraction has on the economic development of emerging countries. The case study demonstrates that methods used by extraction companies for interacting with their host communities are ineffective and superficial. Using the lessons learned from the Niger Delta conflict, this thesis proposes a new strategy, entitled community- corporate diplomacy, and a protocol for companies to implement before opening production sites in Africa. The proposed strategy and an accompanying protocol offer a break from the status quo in that they are built upon an understanding of the specificities of the African continent, that host communities need to be respected as key stakeholders, and that extraction activities have a higher risk of negatively impacting neighboring communities. The recommendation could be applied to other countries and industries, but the increasing importance of African natural resources, the particularities of African political and social structures and the effects of extraction activities make this proposal especially important for extractive companies beginning production in Africa. Keywords: Nigeria, Niger Delta, Shell, corporate social responsibility, transnational advocacy networks, multi-stakeholder initiatives, community relations, corporate diplomacy, Africa, extractive industries.

Aligning the goals of community-engaged research: why and how academic health centers can successfully engage with communities to improve health.

PubMed

Michener, Lloyd; Cook, Jennifer; Ahmed, Syed M; Yonas, Michael A; Coyne-Beasley, Tamera; Aguilar-Gaxiola, Sergio

2012-03-01

Community engagement (CE) and community-engaged research (CEnR) are increasingly viewed as the keystone to translational medicine and improving the health of the nation. In this article, the authors seek to assist academic health centers (AHCs) in learning how to better engage with their communities and build a CEnR agenda by suggesting five steps: defining community and identifying partners, learning the etiquette of CE, building a sustainable network of CEnR researchers, recognizing that CEnR will require the development of new methodologies, and improving translation and dissemination plans. Health disparities that lead to uneven access to and quality of care as well as high costs will persist without a CEnR agenda that finds answers to both medical and public health questions. One of the biggest barriers toward a national CEnR agenda, however, are the historical structures and processes of an AHC-including the complexities of how institutional review boards operate, accounting practices and indirect funding policies, and tenure and promotion paths. Changing institutional culture starts with the leadership and commitment of top decision makers in an institution. By aligning the motivations and goals of their researchers, clinicians, and community members into a vision of a healthier population, AHC leadership will not just improve their own institutions but also improve the health of the nation-starting with improving the health of their local communities, one community at a time.

Linking Research, Education and Public Engagement in Geoscience: Leadership and Strategic Partnerships.

NASA Astrophysics Data System (ADS)

Moosavi, S. C.

2017-12-01

By their very nature, the geosciences address societal challenges requiring a complex interplay between the research community, geoscience educators and public engagement with the general population to build their knowledge base and convince them to act appropriately to implement policies guided by scientific understanding. The most effective responses to geoscience challenges arise when strong collaborative structures connecting research, education and the public are in place to afford rapid communication and trust at all stages of the investigative and policy implementation processes. Educational programs that involve students and scientists via service learning exploring high profile issues of community interest and outreach to teachers through professional development build the network of relationships with geoscientists to respond rapidly to solve societal problems. These pre-existing personal connections simultaneously hold wider credibility with the public than unfamiliar scientific experts less accustomed to speaking to general audiences. The Geological Society of America is leveraging the research and educational experience of its members to build a self-sustaining state/regional network of K-12 professional development workshops designed to link the academic, research, governmental and industrial communities. The goal is not only to improve the content knowledge and pedagogical skills which teachers bring to their students, but also to build a diverse community of trust capable of responding to geoscience challenges in a fashion relevant to local communities. Dr. Moosavi is building this program by drawing on his background as a biogeochemistry researcher with 20 years experience focused on use of place-based approaches in general education and pre- and in-service teacher preparation in Research 1 and comprehensive universities, liberal arts and community colleges and high school. Experience with K-12 professional development working with the Minnesota Mineral Education Workshop and an undergraduate service learning research program related to beach erosion and the BP Oil Spill on Grand Isle, Louisiana are of particular value to this effort.

Recall Performance for Content-Addressable Memory Using Adiabatic Quantum Optimization

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

Imam, Neena; Humble, Travis S.; McCaskey, Alex

A content-addressable memory (CAM) stores key-value associations such that the key is recalled by providing its associated value. While CAM recall is traditionally performed using recurrent neural network models, we show how to solve this problem using adiabatic quantum optimization. Our approach maps the recurrent neural network to a commercially available quantum processing unit by taking advantage of the common underlying Ising spin model. We then assess the accuracy of the quantum processor to store key-value associations by quantifying recall performance against an ensemble of problem sets. We observe that different learning rules from the neural network community influence recallmore » accuracy but performance appears to be limited by potential noise in the processor. The strong connection established between quantum processors and neural network problems supports the growing intersection of these two ideas.« less

The Third Annual NASA Science Internet User Working Group Conference

NASA Technical Reports Server (NTRS)

Lev, Brian S. (Editor); Gary, J. Patrick (Editor)

1993-01-01

The NASA Science Internet (NSI) User Support Office (USO) sponsored the Third Annual NSI User Working Group (NSIUWG) Conference March 30 through April 3, 1992, in Greenbelt, MD. Approximately 130 NSI users attended to learn more about the NSI, hear from projects which use NSI, and receive updates about new networking technologies and services. This report contains material relevant to the conference; copies of the agenda, meeting summaries, presentations, and descriptions of exhibitors. Plenary sessions featured a variety of speakers, including NSI project management, scientists, and NSI user project managers whose projects and applications effectively use NSI, and notable citizens of the larger Internet community. The conference also included exhibits of advanced networking applications; tutorials on internetworking, computer security, and networking technologies; and user subgroup meetings on the future direction of the conference, networking, and user services and applications.

"Supporting Early Career Women in the Geosciences through Online Peer-Mentoring: Lessons from the Earth Science Women's Network (ESWN)"

NASA Astrophysics Data System (ADS)

Holloway, T.; Hastings, M. G.; Barnes, R. T.; Fischer, E. V.; Wiedinmyer, C.; Rodriguez, C.; Adams, M. S.; Marin-Spiotta, E.

2014-12-01

The Earth Science Women's Network (ESWN) is an international peer-mentoring organization with over 2000 members, dedicated to career development and community for women across the geosciences. Since its formation in 2002, ESWN has supported the growth of a more diverse scientific community through a combination of online and in-person networking activities. Lessons learned related to online networking and community-building will be presented. ESWN serves upper-level undergraduates, graduate students, professionals in a range of environmental fields, scientists working in federal and state governments, post-doctoral researchers, and academic faculty and scientists. Membership includes women working in over 50 countries, although the majority of ESWN members work in the U.S. ESWN increases retention of women in the geosciences by enabling and supporting professional person-to-person connections. This approach has been shown to reduce feelings of isolation among our members and help build professional support systems critical to career success. In early 2013 ESWN transitioned online activities to an advanced social networking platform that supports discussion threads, group formation, and individual messaging. Prior to that, on-line activities operated through a traditional list-serve, hosted by the National Center for Atmospheric Research (NCAR). The new web center, http://eswnonline.org, serves as the primary forum for members to build connections, seek advice, and share resources. For example, members share job announcements, discuss issues of work-life balance, and organize events at professional conferences. ESWN provides a platform for problem-based mentoring, drawing from the wisdom of colleagues across a range of career stages.

Increasing Ethnic Minority Participation in Substance Abuse Clinical Trials: Lessons Learned in the National Institute on Drug Abuse’s Clinical Trials Network

PubMed Central

Burlew, Kathleen; Larios, Sandra; Suarez-Morales, Lourdes; Holmes, Beverly; Venner, Kamilla; Chavez, Roberta

2012-01-01

Underrepresentation in clinical trials limits the extent to which ethnic minorities benefit from advances in substance abuse treatment. The objective of this article is to share the knowledge gained within the Clinical Trials Network (CTN) of the National Institute on Drug Abuse and other research on recruiting and retaining ethnic minorities into substance abuse clinical trials. The article includes a discussion of two broad areas for improving inclusion— community involvement and cultural adaptation. CTN case studies are included to illustrate three promising strategies for improving ethnic minority inclusion: respondent-driven sampling, community-based participatory research, and the cultural adaptation of the recruitment and retention procedures. The article concludes with two sections describing a number of methodological concerns in the current research base and our proposed research agenda for improving ethnic minority inclusion that builds on the CTN experience. PMID:21988575

Increasing ethnic minority participation in substance abuse clinical trials: lessons learned in the National Institute on Drug Abuse's Clinical Trials Network.

PubMed

Burlew, Kathleen; Larios, Sandra; Suarez-Morales, Lourdes; Holmes, Beverly; Venner, Kamilla; Chavez, Roberta

2011-10-01

Underrepresentation in clinical trials limits the extent to which ethnic minorities benefit from advances in substance abuse treatment. The objective of this article is to share the knowledge gained within the Clinical Trials Network (CTN) of the National Institute on Drug Abuse and other research on recruiting and retaining ethnic minorities into substance abuse clinical trials. The article includes a discussion of two broad areas for improving inclusion-community involvement and cultural adaptation. CTN case studies are included to illustrate three promising strategies for improving ethnic minority inclusion: respondent-driven sampling, community-based participatory research, and the cultural adaptation of the recruitment and retention procedures. The article concludes with two sections describing a number of methodological concerns in the current research base and our proposed research agenda for improving ethnic minority inclusion that builds on the CTN experience.

The effect of a faith community nurse network and public health collaboration on hypertension prevention and control.

PubMed

Cooper, Jennifer; Zimmerman, Wendy

2017-09-01

As part of the Association of State and Territorial Health Official's Million Hearts State Learning Collaborative in 2014 and 2015, Washington County, Maryland formed a collaboration between the local health department, health system and faith community nurse network to address the undiagnosed and uncontrolled hypertension in the county. Data were analyzed to determine the effect of a faith community nursing intervention of teaching blood pressure self-monitoring and coaching blood pressure and lifestyle changes in the at-risk and hypertensive population. Thirty-nine faith community nurses offered a 3-month blood pressure self-monitoring and coaching intervention in 2014 and 2015 to 119 participants. A secondary data analysis using a repeated measure ANOVA to assess the differences in pre- and post-intervention systolic and diastolic blood pressure readings and a paired t-test to compare pre- and post-lifestyle scores was completed. A total of 109 participants completed the program and were included in the analysis and were showing decreased blood pressure readings and improved lifestyle satisfaction scores in six out of seven areas across the program period. Coaching by faith community nurses creates an environment of sustained support that can promote improved lifestyles and blood pressure changes over time. © 2017 Wiley Periodicals, Inc.

Evolving Best Practice in Learning About Air Quality and Climate Change Science in ACCENT

NASA Astrophysics Data System (ADS)

Schuepbach, E.

2008-12-01

Learning about air quality and climate change science has developed into a transdisciplinary impact generator, moulded by academic-stakeholder partnerships, where complementary skills and competences lead to a culture of dialogue, mutual learning and decision-making. These sweeping changes are mirrored in the evolving best practice within the European Network of Excellence on Atmospheric Composition Change (ACCENT). The Training and Education Programme in ACCENT pursues an integrated approach and innovative avenues to sharing knowledge and communicating air quality and climate change science to various end-user groups, including teachers, policy makers, stakeholders, and the general public. Early career scientists are involved in the process, and are trained to acquire new knowledge in a variety of learning communities and environments. Here, examples of both the open system of teaching within ACCENT training workshops for early career scientists, and the engagement of non-academic audiences in the joint learning process are presented.

Developing an Open Source, Reusable Platform for Distributed Collaborative Information Management in the Early Detection Research Network

NASA Technical Reports Server (NTRS)

Hart, Andrew F.; Verma, Rishi; Mattmann, Chris A.; Crichton, Daniel J.; Kelly, Sean; Kincaid, Heather; Hughes, Steven; Ramirez, Paul; Goodale, Cameron; Anton, Kristen;

Establishing a Network of Citizen Scientists to Measure Trans-Neptunian Objects (Invited)

NASA Astrophysics Data System (ADS)

Keller, J. M.; Buie, M. W.

2013-12-01

The Research and Education Cooperative Occultation Network (RECON) is an innovative citizen science project to determine the sizes of trans-Neptunian objects (TNOs) and in particular cold classical Kuiper Belt Objects (KBOs). The project currently involves a pilot network of fourteen communities located north and south of Reno, Nevada (from Tulelake, CA to Tonopah, NV) that have been provided with telescope and camera equipment to record occultation data when TNOs and main belt asteroids pass in front of background stars. Current uncertainties in TNO positions and stellar astrometry limit accurate occultation predictions for TNOs. To address this challenge, RECON will establish a 'picket-fence' of observers every 50 km spread over a 2,000-km baseline. When fully scaled, RECON will involve over forty communities stretching across the Western United States from its border with Canada to Mexico. See map for current telescope sites (green and yellow), planned telescope sites (blue), and shadow path for a 100 km object. The pilot RECON network has been established as a proof-of-concept study for this project. Teachers, amateur astronomers, and community members from California and Nevada were recruited via emails, phone, and face-to-face visits during two trips in Fall 2012. Telescope and camera equipment was tested and delivered to each community in Winter 2013. In April, representatives from each community brought this equipment to a four-day intensive training workshop in Carson City. Since the workshop, RECON has conducted five coordinated occultation campaigns involving Pluto and several main belt asteroids to demonstrate the effectiveness and integrity of the network. In addition to presenting results from these observation campaigns, we will describe lessons learned about recruitment, preparation, and retention of citizen scientists from rural communities to conduct authentic astronomy research. We will also discuss plans for scaling up the full RECON network. Finally, we will frame the RECON project in the broader context of citizen science efforts. This material is based upon work supported by the National Science Foundation under Grant No. AST-1212159. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).

Praxis and reflexivity for interprofessional education: towards an inclusive theoretical framework for learning.

PubMed

Hutchings, Maggie; Scammell, Janet; Quinney, Anne

2013-09-01

While there is growing evidence of theoretical perspectives adopted in interprofessional education, learning theories tend to foreground the individual, focusing on psycho-social aspects of individual differences and professional identity to the detriment of considering social-structural factors at work in social practices. Conversely socially situated practice is criticised for being context-specific, making it difficult to draw generalisable conclusions for improving interprofessional education. This article builds on a theoretical framework derived from earlier research, drawing on the dynamics of Dewey's experiential learning theory and Archer's critical realist social theory, to make a case for a meta-theoretical framework enabling social-constructivist and situated learning theories to be interlinked and integrated through praxis and reflexivity. Our current analysis is grounded in an interprofessional curriculum initiative mediated by a virtual community peopled by health and social care users. Student perceptions, captured through quantitative and qualitative data, suggest three major disruptive themes, creating opportunities for congruence and disjuncture and generating a model of zones of interlinked praxis associated with professional differences and identity, pedagogic strategies and technology-mediated approaches. This model contributes to a framework for understanding the complexity of interprofessional learning and offers bridges between individual and structural factors for engaging with the enablements and constraints at work in communities of practice and networks for interprofessional education.

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.

Features of Online Health Communities for Adolescents With Type 1 Diabetes

PubMed Central

Ho, Yun-Xian; O’Connor, Brendan H.; Mulvaney, Shelagh A.

2014-01-01

The aim of this exploratory study was to examine diabetes online health communities (OHCs) available to adolescents with type 1 diabetes (T1D). We sought to identify and classify site features and relate them to evidence-based processes for improving self-management. We reviewed 18 OHCs and identified the following five feature categories: social learning and networking, information, guidance, engagement, and personal health data sharing. While features that have been associated with improved self-management were present, such as social learning, results suggest that more guidance or structure would be helpful to ensure that those processes were focused on promoting positive beliefs and behaviors. Enhancing guidance-related features and structure to existing OHCs could provide greater opportunity for effective diabetes self-management support. To support clinical recommendations, more research is needed to quantitatively relate features and participation in OHCs to patient outcomes. PMID:24473058

Cooperation in the prisoner's dilemma game on tunable community networks

NASA Astrophysics Data System (ADS)

Liu, Penghui; Liu, Jing

2017-04-01

Community networks have attracted lots of attention as they widely exist in the real world and are essential to study properties of networks. As the game theory illustrates the competitive relationship among individuals, studying the iterated prisoner's dilemma games (PDG) on community networks is meaningful. In this paper, we focus on investigating the relationship between the cooperation level of community networks and that of their communities in the prisoner's dilemma games. With this purpose in mind, a type of tunable community networks whose communities inherit not only the scale-free property, but also the characteristic of adjustable cooperation level of Holme and Kim (HK) networks is designed. Both uniform and non-uniform community networks are investigated. We find out that cooperation enhancement of communities can improve the cooperation level of the whole networks. Moreover, simulation results indicate that a large community is a better choice than a small community to improve the cooperation level of the whole networks. Thus, improving the cooperation level of community networks can be divided into a number of sub-problems targeting at improving the cooperation level of individual communities, which can save the computation cost and deal with the problem of improving the cooperation level of huge community networks. Moreover, as the larger community is a better choice, it is reasonable to start with large communities, according to the greedy strategy when the number of nodes can participate in the enhancement is limited.

Using Computational Modeling to Assess the Impact of Clinical Decision Support on Cancer Screening within Community Health Centers

PubMed Central

Carney, Timothy Jay; Morgan, Geoffrey P.; Jones, Josette; McDaniel, Anna M.; Weaver, Michael; Weiner, Bryan; Haggstrom, David A.

2014-01-01

Our conceptual model demonstrates our goal to investigate the impact of clinical decision support (CDS) utilization on cancer screening improvement strategies in the community health care (CHC) setting. We employed a dual modeling technique using both statistical and computational modeling to evaluate impact. Our statistical model used the Spearman’s Rho test to evaluate the strength of relationship between our proximal outcome measures (CDS utilization) against our distal outcome measure (provider self-reported cancer screening improvement). Our computational model relied on network evolution theory and made use of a tool called Construct-TM to model the use of CDS measured by the rate of organizational learning. We employed the use of previously collected survey data from community health centers Cancer Health Disparities Collaborative (HDCC). Our intent is to demonstrate the added valued gained by using a computational modeling tool in conjunction with a statistical analysis when evaluating the impact a health information technology, in the form of CDS, on health care quality process outcomes such as facility-level screening improvement. Significant simulated disparities in organizational learning over time were observed between community health centers beginning the simulation with high and low clinical decision support capability. PMID:24953241

Network-Based Community Brings forth Sustainable Society

NASA Astrophysics Data System (ADS)

Kikuchi, Toshiko

It has already been shown that an artificial society based on the three relations of social configuration (market, communal, and obligatory relations) functioning in balance with each other formed a sustainable society which the social reproduction is possible. In this artificial society model, communal relations exist in a network-based community with alternating members rather than a conventional community with cooperative mutual assistance practiced in some agricultural communities. In this paper, using the comparison between network-based communities with alternating members and conventional communities with fixed members, the significance of a network-based community is considered. In concrete terms, the difference in appearance rate for sustainable society, economic activity and asset inequality between network-based communities and conventional communities is analyzed. The appearance rate for a sustainable society of network-based community is higher than that of conventional community. Moreover, most of network-based communities had a larger total number of trade volume than conventional communities. But, the value of Gini coefficient in conventional community is smaller than that of network-based community. These results show that communal relations based on a network-based community is significant for the social reproduction and economic efficiency. However, in such an artificial society, the inequality is sacrificed.

Fellowships in community pharmacy research: Experiences of five schools and colleges of pharmacy.

PubMed

Snyder, Margie E; Frail, Caitlin K; Gernant, Stephanie A; Bacci, Jennifer L; Coley, Kim C; Colip, Lauren M; Ferreri, Stefanie P; Hagemeier, Nicholas E; McGivney, Melissa Somma; Rodis, Jennifer L; Smith, Megan G; Smith, Randall B

2016-01-01

To describe common facilitators, challenges, and lessons learned in 5 schools and colleges of pharmacy in establishing community pharmacy research fellowships. Five schools and colleges of pharmacy in the United States. Schools and colleges of pharmacy with existing community partnerships identified a need and ability to develop opportunities for pharmacists to engage in advanced research training. Community pharmacy fellowships, each structured as 2 years long and in combination with graduate coursework, have been established at the University of Pittsburgh, Purdue University, East Tennessee State University, University of North Carolina at Chapel Hill, and The Ohio State University. Program directors from each of the 5 community pharmacy research fellowships identified common themes pertaining to program structure, outcomes, and lessons learned to assist others planning similar programs. Common characteristics across the programs include length of training, prerequisites, graduate coursework, mentoring structure, and immersion into a pharmacist patient care practice. Common facilitators have been the existence of strong community pharmacy partnerships, creating a fellowship advisory team, and networking. A common challenge has been recruitment, with many programs experiencing at least one year without filling the fellowship position. All program graduates (n = 4) have been successful in securing pharmacy faculty positions. Five schools and colleges of pharmacy share similar experiences in implementing community pharmacy research fellowships. Early outcomes show promise for this training pathway in growing future pharmacist-scientists focused on community pharmacy practice. Copyright © 2016 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Fellowships in Community Pharmacy Research: Experiences of Five Schools and Colleges of Pharmacy

PubMed Central

Snyder, Margie E.; Frail, Caitlin K.; Gernant, Stephanie A.; Bacci, Jennifer L.; Coley, Kim C.; Colip, Lauren M.; Ferreri, Stefanie P.; Hagemeier, Nicholas E.; McGivney, Melissa Somma; Rodis, Jennifer L.; Smith, Megan G.; Smith, Randall B.

2017-01-01

Objective To describe common facilitators, challenges, and lessons learned of five schools and colleges of pharmacy in establishing community pharmacy research fellowships. Setting Five schools and colleges of pharmacy in the United States. Practice Description Schools and colleges of pharmacy with existing community partnerships identified a need and ability to develop opportunities for pharmacists to engage in advanced research training. Practice Innovation Community pharmacy fellowships, each structured as two years in length and in combination with graduate coursework, have been established at the University of Pittsburgh, Purdue University, East Tennessee State University, University of North Carolina at Chapel Hill and The Ohio State University. Evaluation Program directors from each of the five community pharmacy research fellowships identified common themes pertaining to program structure, outcomes, and lessons learned to assist others planning similar programs. Results Common characteristics across the programs include length of training, pre-requisites, graduate coursework, mentoring structure, and immersion into a pharmacist patient care practice. Common facilitators have been the existence of strong community pharmacy partnerships, creating a fellowship advisory team, and networking. A common challenge has been recruitment, with many programs experiencing at least one year without filling the fellowship position. All program graduates (n=4) have been successful in securing pharmacy faculty positions. Conclusion Five schools and colleges of pharmacy share similar experiences in implementing community pharmacy research fellowships. Early outcomes show promise for this training pathway in growing future pharmacist-scientists focused on community pharmacy practice. PMID:27083852

The Community Mentoring REU: A Novel Paradigm for Research Experiences for Undergraduates Programs

NASA Astrophysics Data System (ADS)

Kobulnicky, Henry; Maierhofer, Lara; Kobulnicky, Carol; Dale, Daniel A.

2018-01-01

Research Experience for Undergraduates programs were conceived to promote entry of college students into STEM disciplines. Evidence suggests that participating in REUs increases interest in STEM, conveys skills leading to STEM jobs and graduate study, increases science self-efficacy, builds professional networks for young scientists, and cultivates identity as a scientist. Nevertheless, the factors that mediate desired outcomes are still poorly understood, and persistence of negative mentoring experiences among REU participants motivates the design and study of novel approaches to preparing future STEM professionals. During five summers spanning 2012-2016 we implemented a "Community Mentoring" paradigm at the University of Wyoming's 10-week Astronomy REU program. In contrast to "traditional model (TM)" REUs that pair a single senior scientist mentor with a single junior mentee, community mentoring (CM) unites 6-8 undergraduates with 3-5 faculty (perhaps assisted by a graduate student or postdoc) on a collaborative team addressing a single science goal. In CM, students have access to a pool of mentors and a peer group reading the same literature, working in a common location, sharing equipment (in this case the WIRO 2.3 meter telescope), sharing data, and learning the same analysis skills. The community interacts daily, modeling the highly collaborative nature of modern scientific teams. Our study used an electronic survey consisting of 24 questions to compare a cohort of 28 CM students to a national control group of 77 students who conducted REUs elsewhere during the same period, typically under the TM. CM students report a significantly higher level of "learning from their peers", "learning to work on a science team", and "sense of community" compared to the TM cohort. The CM cohort also reports a higher overall level of satisfaction with the REU and a lower level of negative experiences, such as finding it difficult to get time with a mentor. This talk will review other lessons learned in five years of community mentoring as it describes an alternative paradigm for REUs.