ERIC Educational Resources Information Center
Gaudioso, Jennifer A.
2017-01-01
Perceptions of School Principals on Participation in Professional Learning Communities as Job-Embedded Learning Jennifer Gaudioso Principal Professional Learning Communities (PPLCs) have emerged as a vehicle for professional development of principals, but there is little research on how principals experience PPLCs or how districts can support…
ERIC Educational Resources Information Center
Becnel, Kim; Moeller, Robin A.
2017-01-01
This paper considers the applicability and adaptability of service-learning pedagogy to online and distance education teaching environments. More specifically, it looks at the community-embedded learning model (CEL), which asks distance students to conduct service projects in their local communities, as manifested in a project undertaken by online…
ERIC Educational Resources Information Center
Jorgensen, Christie L.
2016-01-01
Although instructional coaching and professional learning communities provide ongoing, job-embedded support and professional learning, little is known about what role the instructional coach serves within the setting of the professional learning community or what coaching skills teachers find most helpful within this setting. Research examining…
ERIC Educational Resources Information Center
Laughlin, Mary
2012-01-01
This case study is designed to increase the understanding of an organization's cultural impact on students' improved learning. While much literature exists on best practice strategies for student learning, less is known about what influences are embedded in a school's culture that improve student learning (Angel, Christensen &…
ERIC Educational Resources Information Center
Olivier, Dianne F.; Huffman, Jane B.
2016-01-01
As the Professional Learning Community (PLC) process becomes embedded within schools, the level of district support has a direct impact on whether schools have the ability to re-culture and sustain highly effective collaborative practices. The purpose of this article is to share a professional learning community conceptual framework from the US,…
ERIC Educational Resources Information Center
Rawding, Molly Rothermel
2013-01-01
The purpose of this qualitative study was to explore the perceptions of what makes a collaborative learning team (CLT) effective for novice and experienced teachers. Professional learning communities have emerged as one approach for job-embedded professional learning so that teachers have the opportunity to collaborate with the end goal of…
ERIC Educational Resources Information Center
Smetana, Lara K.; Coleman, Elizabeth R.; Ryan, Ann Marie; Tocci, Charles
2013-01-01
Loyola University Chicago's Teaching, Learning, and Leading With Schools and Communities (TLLSC) program is an ambitious break from traditional university-based teacher preparation models. This clinically based initial teacher preparation program, fully embedded in local schools and community organizations, takes an ecological perspective on the…
ERIC Educational Resources Information Center
Thacker, Teresa D.
2013-01-01
Professional Learning Communities (PLCs) are an emerging form of professional learning used nationwide as a means for educators to focus on job-embedded learning. Extensive qualitative data have been compiled regarding the perception of educators and PLCs. However, little quantitative research has been conducted regarding the academic achievement…
ERIC Educational Resources Information Center
Hassan, Aminuddin; Maharoff, Marina
2014-01-01
Curriculum philosophy may assist in learning practices that coincide with the philosophy of educational institution and community. This study was aimed to understand how the teacher trainees who pursued Bachelor of Teaching (PISMP) understand the embedment of soft skills into learning activities for core courses in Malaysian Institutes of Teacher…
ERIC Educational Resources Information Center
Hillery, Patricia L.
2013-01-01
As school districts' professional development trends shift to meet annual budget requirements, it is worthy to explore the benefits of professional learning communities as they are a potential means for job-embedded professional development. As an advocate for professional learning, Hirsh (2009) stated that every teacher should engage 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…
ERIC Educational Resources Information Center
Maynor, Chad Edward
2010-01-01
Professional learning communities (PLCs) provide schools with a tool to meet the professional development needs of their teachers through ongoing, job-embedded staff development designed to improve instruction and student learning. While research exists on the development of PLCs, there is a gap in the literature concerning the principal's role in…
Multilabel user classification using the community structure of online networks
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.
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.
Discriminative graph embedding for label propagation.
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.
Using Professional Learning Communities to Bolster Comprehension Instruction
ERIC Educational Resources Information Center
Dougherty Stahl, Katherine A.
2015-01-01
High-level comprehension instruction is the focus of the Common Core State Standards in English Language Arts. However, it has been a challenge for states to provide the professional development (PD) needed to support teachers' implementation of the CCSS. Professional learning communities (PLC) are a means of providing school-embedded PD to…
ERIC Educational Resources Information Center
Tulloch, Shelley; Kusugak, Adriana; Chenier, Cayla; Pilakapsi, Quluaq; Uluqsi, Gloria; Walton, Fiona
2017-01-01
The Miqqut project was a participatory action research project through which Inuit language and literacy learning was embedded in a traditional skills program. Community-based researchers tracked learners' progress through entrance, exit, and post-program interviews and questionnaires, as well as through participant observation. Results show that…
Learning Communities: Beliefs Embedded in Content-Based Rituals
ERIC Educational Resources Information Center
Bartel, Virginia B.
2005-01-01
This article addresses the underlying beliefs needed by teachers of young children if their learning communities are to be successful and self-sustaining. The relationships of language arts and social studies content to specific academic, social and literary rituals are discussed in the context of classroom examples in the United States. Trust and…
Building Capacity for Innovation: The Vanguard for Learning Model.
ERIC Educational Resources Information Center
Hunter, Beverly
When a school community is making a major investment in technology, the major challenge is to ensure that the technologies are used to support innovative practices that are responsive to the community's changing needs and opportunities for teaching and learning. How can implementation of technology be integrally embedded in and supportive of…
ERIC Educational Resources Information Center
Priest, Kerry L.; de Campos Paula, Ana Luiza
2016-01-01
The use of high-impact practices is well documented in higher education literature. This brief describes the integrative practice of undergraduate peer-led leadership learning communities as a model of delivery within a large introductory leadership education course for first-year students. Utilizing open-ended questions embedded within…
ERIC Educational Resources Information Center
Woodland, Rebecca H.; Mazur, Rebecca
2015-01-01
Educational evaluation (Ed Eval) and professional learning communities (PLCs) are two of the nation's most predominant approaches to widespread instructional improvement. Yet key attributes of these reform initiatives are too often experienced by teachers as burdensome, or even detrimental, rather than helpful. The authors of this article contend…
Whole Person Learning: Embedding Ethical Enterprise Leadership in Business Education
ERIC Educational Resources Information Center
Carter, E. Vincent; Donohue, Mary
2012-01-01
This study introduces a collaborative business education curricular design known as "whole person learning." The post-financial crisis market environment requires business education to encompass curricular, commercial and community skills. Drawing on the Toronto based National Mentoring Program (NMP), "whole person learning"…
The Teacher Leadership Process: Attempting Change within Embedded Systems
ERIC Educational Resources Information Center
Cooper, Kristy S.; Stanulis, Randi N.; Brondyk, Susan K.; Hamilton, Erica R.; Macaluso, Michael; Meier, Jessica A.
2016-01-01
This embedded case study examines the leadership practices of eleven teacher leaders in three urban schools to identify how these teacher leaders attempt to change the teaching practice of their colleagues while working as professional learning community leaders and as mentors for new teachers. Using a theoretical framework integrating complex…
ERIC Educational Resources Information Center
Barnes, Michelle M.
2013-01-01
This doctoral thesis explored mentoring in early learning teacher preparation programs. This study explored the reflective processes embedded in the work between student teachers and their mentors during early learning student teacher experiences at Washington State community and technical colleges. Schon's (1987a) concepts of…
Beyond Looking: Using Data to Coach for Instructional Improvement
ERIC Educational Resources Information Center
Martin, Michael; Taylor, Katherine
2009-01-01
As a team of job-embedded instructional coaches in an ethnically and economically diverse learning environment, the authors are dedicated to thinking through and troubleshooting the improvement of teaching and learning in the three learning communities that make up Clover Park High School. They agree with commentator Laurie Olsen who writes, "Data…
Colleges at the Heart of Local Communities
ERIC Educational Resources Information Center
Sharp, Margaret
2011-01-01
This article discusses the findings of the commission set up jointly by NIACE, the Association of Colleges (AoC) and the 157 Group to investigate the role of colleges in their communities. The commission learned that: (1) further education colleges are, often, already embedded in their communities; (2) although there has been some simplification,…
ERIC Educational Resources Information Center
Jacobsen, Yola
2010-01-01
The "Making it Work" book is for practitioners and managers working with people with learning difficulties in FE colleges, adult and community learning services, work-based learning and voluntary sector organisations. This book was produced as a result of a two-year project funded by the Department of Health. It provides information…
Critical Service Learning across Two Required Marketing Classes
ERIC Educational Resources Information Center
Crutchfield, Tammy Neal
2017-01-01
Business service learning projects have the potential to be a state-of-the-art instructional laboratory to teach and apply theory and make a substantial impact on the community. In this article, the author presents a service learning project that is embedded in two consecutive required courses of the marketing major and has been conducted and…
Investigating Student Communities with Network Analysis of Interactions in a Physics Learning Center
NASA Astrophysics Data System (ADS)
Brewe, Eric; Kramer, Laird; O'Brien, George
2009-11-01
We describe our initial efforts at implementing social network analysis to visualize and quantify student interactions in Florida International University's Physics Learning Center. 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 FIU. Our implementation of a research and learning community, embedded within a course reform effort, has led to increased recruitment and retention of physics majors. Finn and Rock [1997] link the academic and social integration of students to increased rates of retention. To identify these interactions, we have initiated an investigation that utilizes social network analysis to identify primary community participants. Community interactions are then characterized through the network's density and connectivity, shedding light on learning communities and participation. Preliminary results, further research questions, and future directions utilizing social network analysis are presented.
ERIC Educational Resources Information Center
Jackson, Glenda; Allan, Sonia
2010-01-01
Home education provides valuable educational and developmental opportunities for children. An examination of Australia's research indicates many best educational practices, including more informed mediation, contextualised learning, and opportunities to exercise autonomy. Key features include learning embedded in communities and program…
Student Learning in Student Services Extended Opportunity Program & Services
ERIC Educational Resources Information Center
Soltani, Parisa
2013-01-01
The purpose of this mixed methods study was to investigate the relationship between student learning and participation in Equal Opportunity Programs and Services (EOP&S) at Irvine Valley College (IVC). An embedded survey design was developed using William Sedlacek's non-cognitive questionnaire (NCQ), items from the Community College Survey of…
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…
NASA Astrophysics Data System (ADS)
Dori, Yehudit J.
2003-01-01
Matriculation 2000 was a 5-year project aimed at moving from the nationwide traditional examination system in Israel to a school-based alternative embedded assessment. Encompassing 22 high schools from various communities in the country, the Project aimed at fostering deep understanding, higher-order thinking skills, and students' engagement in learning through alternative teaching and embedded assessment methods. This article describes research conducted during the fifth year of the Project at 2 experimental and 2 control schools. The research objective was to investigate students' learning outcomes in chemistry and biology in the Matriculation 2000 Project. The assumption was that alternative embedded assessment has some effect on students' performance. The experimental students scored significantly higher than their control group peers on low-level assignments and more so on assignments that required higher-order thinking skills. The findings indicate that given adequate support and teachers' consent and collaboration, schools can transfer from nationwide or statewide standardized testing to school-based alter-native embedded assessment.
Investigating student communities with network analysis of interactions in a physics learning center
NASA Astrophysics Data System (ADS)
Brewe, Eric; Kramer, Laird; Sawtelle, Vashti
2012-06-01
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 retention of physics majors. We utilize social network analysis to quantify interactions in Florida International University’s Physics Learning Center (PLC) that support the development of academic and social integration. The tools of social network analysis allow us to visualize and quantify student interactions and characterize the roles of students within a social network. After providing a brief introduction to social network analysis, we use sequential multiple regression modeling to evaluate factors that contribute to participation in the learning community. Results of the sequential multiple regression indicate that the PLC learning community is an equitable environment as we find that gender and ethnicity are not significant predictors of participation in the PLC. We find that providing students space for collaboration provides a vital element in the formation of a supportive learning community.
Noncognitive Variables and Student Learning in Extended Opportunity Programs and Services (EOPS)
ERIC Educational Resources Information Center
Soltani, Parisa; Gutierrez Keeton, Rebecca; Hoffman, John L.
2017-01-01
The purpose of this mixed methods study was to investigate the relationship between participation in Extended Opportunity Programs and Services (EOPS) at California Valley College (CVC) (one of the 113 California Community Colleges in California) and several measures of student learning. An embedded survey design was developed using William…
Leading by Example: Teacher Educators' Professional Learning through Communities of Practice
ERIC Educational Resources Information Center
MacPhail, Ann; Patton, Kevin; Parker, Melissa; Tannehill, Deborah
2014-01-01
There has been a limited interest in examining physical education teacher educators' role and practices in embedding professional responsibility and commitment to continued professional learning for both teacher educators and pre-service teachers in a physical education teacher education (PETE) program (MacPhail, 2011) Directed by a landscape…
Developing a Psychology Undergraduate Research Community in a New University
ERIC Educational Resources Information Center
Roberts, Patricia; Ertubey, Candan; McMurray, Isabella; Robertson, Ian
2012-01-01
Psychology is a science-based discipline in which research is inextricably embedded in teaching and learning activities. Educators use different methods to help students in their learning of the nature of research and the practical skills required to conduct research, with students playing either a passive or more active role in the learning…
ERIC Educational Resources Information Center
Koch, Steven; Borg, Terry
2011-01-01
An Illinois district brings a local university into the district to craft advanced learning embedded in the needs of specific schools. Community High School District 155 in Crystal Lake, Ill., and Northern Illinois University (NIU) College of Education engaged in a partnership that has provided significant benefits, posed limited challenges, and…
Developing an Embedded Peer Tutor Program in Design Studio to Support First Year Design Students
ERIC Educational Resources Information Center
Zamberlan, Lisa; Wilson, Stephanie
2015-01-01
An improved first year student experience is a strategic focus for higher education in an increasingly competitive marketplace. A successful peer tutoring program creates a visible community of practice, supports the student learning experience, elevates senior students as ambassadors of the program, and reinforces an emphasis on learning through…
Teaching and Learning through Civic Engagement: Prospects for Sustainability in Teacher Education
ERIC Educational Resources Information Center
Boland, Josephine
2010-01-01
This paper considers the prospects for sustainable service/community based learning as an element of a civic engagement strategy within the context of teacher education. It draws on findings of a study of the policy, process and practice of embedding civic engagement in the higher education curriculum in Ireland and the author's experience…
ERIC Educational Resources Information Center
Nelson, Tamara Holmlund; Slavit, David; Perkins, Mart; Hathorn, Tom
2008-01-01
Background/Context: The type of professional development provided for teachers has been undergoing change from a one-time workshop approach to a more embedded, long-term, reflective, and collaborative structure. Although findings on the impact of new forms of professional development (PD) are beginning to emerge in the literature, there is little…
ERIC Educational Resources Information Center
Henderson, Michael; Auld, Glenn; Holkner, Bernard; Russell, Glenn; Seah, Wee Tiong; Fernando, Anthony; Romeo, Geoff
2010-01-01
This research is a part of a national project to identify effective sustainable and embedded use of ICTs leading to improved educational outcomes. The project identified six schools and conducted a qualitative case study analysis out of which eleven successful strategies were reported. One of these strategies was observed at a primary school and…
ERIC Educational Resources Information Center
Warr Pedersen, Kristin
2017-01-01
Purpose: The purpose of this paper is to consider an expanded vision of professional development for embedding education for sustainability (EfS) in a higher education institution. Through an exploration of a community of practice at the University of Tasmania, this paper examines how collaborative peer learning can sustain and promote continued…
Engaging Karen refugee students in science learning through a cross-cultural learning community
NASA Astrophysics Data System (ADS)
Harper, Susan G.
2017-02-01
This research explored how Karen (first-generation refugees from Burma) elementary students engaged with the Next Generation Science Standards (NGSS) practice of constructing scientific explanations based on evidence within the context of a cross-cultural learning community. In this action research, the researcher and a Karen parent served as co-teachers for fourth- and fifth-grade Karen and non-Karen students in a science and culture after-school programme in a public elementary school in the rural southeastern United States. Photovoice provided a critical platform for students to create their own cultural discourses for the learning community. The theoretical framework of critical pedagogy of place provided a way for the learning community to decolonise and re-inhabit the learning spaces with knowledge they co-constructed. Narrative analysis of video transcripts of the after-school programme, ethnographic interviews, and focus group discussions from Photovoice revealed a pattern of emerging agency by Karen students in the scientific practice of constructing scientific explanations based on evidence and in Karen language lessons. This evidence suggests that science learning embedded within a cross-cultural learning community can empower refugee students to construct their own hybrid cultural knowledge and leverage that knowledge to engage in a meaningful way with the epistemology of science.
NASA Astrophysics Data System (ADS)
Lotz-Sisitka, Heila; Mukute, Mutizwa; Chikunda, Charles; Baloi, Aristides; Pesanayi, Tichaona
2017-12-01
Environment and sustainability education processes are often oriented to change and transformation, and frequently involve the emergence of new forms of human activity. However, not much is known about how such change emerges from the learning process, or how it contributes to the development of transformative agency in community contexts. The authors of this article present four cross-case perspectives of expansive learning and transformative agency development in community-based education in southern Africa, studying communities pursuing new activities that are more socially just and sustainable. The four cases of community learning and transformative agency focus on the following activities: (1) sustainable agriculture in Lesotho; (2) seed saving and rainwater harvesting in Zimbabwe; (3) community-based irrigation scheme management in Mozambique; and (4) biodiversity conservation co-management in South Africa. The case studies all draw on cultural-historical activity theory to guide learning and change processes, especially third-generation cultural-historical activity theory (CHAT), which emphasises expansive learning in collectives across interacting activity systems. CHAT researchers, such as the authors of this article, argue that expansive learning can lead to the emergence of transformative agency. The authors extend their transformative agency analysis to probe if and how expansive learning might also facilitate instances of transgressing norms - viewed here as embedded practices which need to be reframed and changed in order for sustainability to emerge.
da Silva, Hugo Placido
2018-01-01
With the advent of low-cost computing platforms, such as Arduino (http://www.arduino.cc) and Raspberry Pi (http://www.raspberrypi.org), it has become clear that lowering the cost barrier and shortening the learning curve, with the backing of a motivated community, would play a transformational role in the way people learn, experiment, and create imaginative solutions to outstanding problems that can benefit from embedded systems.
Creativity: Does Place Matter?
ERIC Educational Resources Information Center
Bradley, Finbarr
2012-01-01
This article argues that creativity has the greatest potential to flourish if a learning environment is embedded within a community that emphasises a deep sense of place. Yet in a globalised world, rootedness is often regarded as antithetical to creativity. But far from representing dead artefacts that are anti-modern and non-economic, culture and…
Establishing Learning Communities among Science Teachers through Lesson Study
ERIC Educational Resources Information Center
Mee, Lee Shok; Oyao, Sheila Gamut
2013-01-01
The fundamental philosophy embedded in lesson study is the collaborative practice of teachers working together to plan, teach, observe, reflect and refine lessons. It has been well established that collaboration strengthens teacher collegial relationships and enhances pedagogical content knowledge. While teacher collaboration seems to be a norm in…
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.
Teaching Quantum Mechanics through Project-based Learning
NASA Astrophysics Data System (ADS)
Duda, Gintaras
2013-04-01
Project/Problem-based learning (PBL) is an active area of research within the physics education research (PER) community, however, work done to date has focused on introductory courses. This talk will explore research on upper division quantum mechanics, a junior/senior level course at Creighton, which was taught using PBL pedagogy with no in-class lectures. The talk will explore: 1. student learning in light of the new pedagogy and embedded meta-cognitive self-monitoring and reflective exercises and 2. the effect of the PBL curriculum on student attitudes students’ epistemologies.
Building on Living Traditions: Early Childhood Education and Culture in Solomon Islands
ERIC Educational Resources Information Center
Burton, Lindsay J.
2012-01-01
The Solomon Islands, a small developing nation in the South Pacific, demonstrates an emerging community-based kindergarten model with the potential to promote context and culture relevant early learning and development, despite deeply embedded foundations in colonial legacies. Based on the Kahua region of Makira-Ulawa Province, this collaborative,…
Open Lessons: A Practice to Develop a Learning Community for Teachers
ERIC Educational Resources Information Center
Shen, Jianping; Zhen, Jinzhou; Poppink, Sue
2007-01-01
Interest in improving the quality of professional development in this age of educational reform has intensified as a growing body of research suggests that teaching practices matter in terms of student achievement. Some have argued for embedding professional development in the context of teachers' work in order to transform both teaching practices…
A Seat at the Table: How the Work of Teaching Impacts Teachers as Policy Agents
ERIC Educational Resources Information Center
Good, Annalee G.; Fox Barocas, Sadie; Chávez-Moreno, Laura C.; Feldman, Rachel; Canela, Carlos
2017-01-01
Policy reflects and shapes society's beliefs about schools, teachers, children, learning, and society, as well as the power structures embedded in our communities and decision-making processes. Although teachers may be central to the "implementation" of education policy, they are marginal to the "design" of policy agendas and…
Twelve tips for implementing effective service learning.
Playford, Denese; Bailey, Susan; Fisher, Colleen; Stasinska, Ania; Marshall, Lewis; Gawlinski, Michele; Young, Susan
2017-11-24
Service learning is an educational methodology that facilitates transformation of students' knowledge, attitudes and attitudes around holistic care through work with community organizations. To implement academically, defensible service learning requires faculty endorsement, consideration of course credit, an enthusiastic champion able to negotiate agreements with organizations, organizations' identification of their own projects so they are willing to both fund and supervise them, curricular underpinning that imparts the project skills necessary for success, embedding at a time when students' clinical identity is being formed, small packets of curriculum elements delivered "just in time" as students engage with their project, flexible online platform/s, assessment that is organically related to the project, providing cross cultural up-skilling, and focused on the students' responsibility for their own product. The result is a learning experience that is engaging for medical students, links the university to the community, and encourages altruism which is otherwise reported to decline through medical school.
Learning linear transformations between counting-based and prediction-based word embeddings
Hayashi, Kohei; Kawarabayashi, Ken-ichi
2017-01-01
Despite the growing interest in prediction-based word embedding learning methods, it remains unclear as to how the vector spaces learnt by the prediction-based methods differ from that of the counting-based methods, or whether one can be transformed into the other. To study the relationship between counting-based and prediction-based embeddings, we propose a method for learning a linear transformation between two given sets of word embeddings. Our proposal contributes to the word embedding learning research in three ways: (a) we propose an efficient method to learn a linear transformation between two sets of word embeddings, (b) using the transformation learnt in (a), we empirically show that it is possible to predict distributed word embeddings for novel unseen words, and (c) empirically it is possible to linearly transform counting-based embeddings to prediction-based embeddings, for frequent words, different POS categories, and varying degrees of ambiguities. PMID:28926629
Wong, Sandie
2009-05-01
In late 2006, SDN Children's Services, an Australian not-for-profit provider of services for children, families and communities, engaged a research team that was 'embedded' within the organisation for 1 year. This action represented a significant investment of resources, such as staff time and organisational funds, and demonstrates SDN's strong commitment to research and evaluation as a means of supporting organisational learning and development. This paper highlights the innovative nature of the approach by positioning the role of the embedded researcher within the current theoretical and socio-political context. It also provides evidence of the success of the approach by reporting on the findings of a study that investigated staff's experiences of being involved in this type of collaborative investigation of their work. I argue that the employment of an embedded researcher can have positive benefits both for the organisation and the practitioners--but who the researchers are really matters.
Rural Community as Context and Teacher for Health Professions Education
Baral, Kedar; Allison, Jill; Upadhyay, Shambu; Bhandary, Shital; Shrestha, Shrijana
2016-01-01
Nepal is a low-income, landlocked country located on the Indian subcontinent between China and India. The challenge of finding human resources for rural community health care settings is not unique to Nepal. In spite of the challenges, the health sector has made significant improvement in national health indices over the past half century. However, in terms of access to and quality of health services and impact, there remains a gross urban-rural disparity. The Patan Academy of Health Sciences (PAHS) has adopted a community-based education model, termed “community based learning and education" (CBLE), as one of the principal strategies and pedagogic methods. This method is linked to the PAHS mission of improving rural health in Nepal by training medical students through real-life experience in rural areas and developing a positive attitude among its graduates towards working in rural areas. This article outlines the PAHS approach of ruralizing the academy, which aligns with the concept of community engagement in health professional education. We describe how PAHS has embedded medical education in rural community settings, encouraging the learning context to be rural, fostering opportunities for community and peripheral health workers to participate in teaching-learning as well as evaluation of medical students, and involving community people in curriculum design and implementation. PMID:27980887
Faith-Based Adult Learning Initiatives for Diabetes Education in the African American Community
ERIC Educational Resources Information Center
Gaillard, Trudy
2006-01-01
Historically, religion and spirituality have been major influences in the social, cultural, and political lives of African Americans. Spirituality is deeply embedded into their rich cultural heritage, and it is intertwined into all aspects of their life, including beliefs about health and illness. For African Americans, health and illness are a…
ERIC Educational Resources Information Center
Hand, Brian; Norton-Meier, Lori A.; Gunel, Murat; Akkus, Recai
2016-01-01
How can classrooms become communities of inquiry that connect intellectually challenging science content with language-based activities (opportunities to talk, listen, read, and write) especially in settings with diverse populations? This question guided a 3-year mixed-methods research study using the Science Writing Heuristic (SWH) approach in…
A History of Education in Music
ERIC Educational Resources Information Center
Colwell, Richard
2012-01-01
Music has pervaded American history since the founding fathers sang hymns aboard the Mayflower. From that time until the present, music has been so embedded in U.S. society that it is experienced subconsciously in events and activities that are a part of daily life. Learning and instruction take place in the home, in churches, in the community,…
The Arts and Australian Education: Realising Potential. Australian Education Review No. 58
ERIC Educational Resources Information Center
Ewing, Robyn
2011-01-01
Australian Education Review (AER) 58 surveys the international and national research on the role and effect of arts-rich programming in schools and in the broader community, and examines the policies and practices that inhibit or support these initiatives. It puts the case that embedding the Arts in learning would be a powerful catalyst for…
ERIC Educational Resources Information Center
Sessums, Christopher Davis
2009-01-01
Teacher professional development is a complex enterprise (Sprinthall, Reiman, and Thies-Sprinthall, 1996). While many online professional development programs have been introduced over the past several years that provide continuous, job-embedded support, empirical evidence relating what works and what does not has been limited (Whitehouse, Breit,…
A Case Study of Teacher Beliefs in Contemporary Science Education Goals and Classroom Practices.
ERIC Educational Resources Information Center
Mueller, Jennifer C.; Zeidler, Dana L.
The purpose of this qualitative study is to examine to what extent high school teachers' purported beliefs in contemporary science education goals are embedded in routine classroom practice. The context of this study is a learning community-based high school that belongs to the Coalition of Essential Schools and is sensitive to reform issues. The…
Transforming community services through the use of a multidimensional model of clinical leadership.
Leigh, Jacqueline Anne; Wild, Jill; Hynes, Celia; Wells, Stuart; Kurien, Anish; Rutherford, June; Rosen, Lyn; Ashcroft, Tim; Hartley, Victoria
2015-03-01
To evaluate the application of a Multidimensional Model of Clinical Leadership on the community healthcare leader and on transforming community services. Healthcare policy advocates clinical leadership as the vehicle to transform community and healthcare services. Few studies have identified the key components of an effective clinical leadership development model. The first two stages of Kirkpatrick's (Personnel Administrator 28, 1983, 62) Four/Five Levels of Evaluation were used to evaluate the application of the multidimensional model of clinical leadership. Eighty community healthcare leaders were exposed to this multidimensional clinical leadership development model through attendance of a community clinical leadership development programme. Twenty five leaders participated in focus group interviews. Data from the interviews were analysed utilising thematic content analysis. Three key themes emerged that influenced the development of best practice principles for clinical leadership development: 1. Personal leadership development 2. Organisational leadership 3. The importance of multiprofessional action learning/reflective groups Emergent best practice principles for clinical leadership development include adopting a multidimensional development approach. This approach encompasses: preparing the individual leader in the role and seeking organisational leadership development that promotes the vision and corporate values of the organisation and delivers on service improvement and innovation. Moreover, application of the Multidimensional Model of Clinical Leadership could offer the best platform for embedding the Six C's of Nursing (Compassion in Practice - Our Culture of Compassionate Care, Department of Health, Crown Copyright, 2012) within the culture of the healthcare organisation: care, compassion, courage, commitment, communication, and competency. This is achieved in part through the application of emotional intelligence to understand self and to develop the personal integrity of the healthcare leader and through supporting a culture of lifelong leadership learning. Embedding the best practice principles of clinical leadership development within a multidimensional model of clinical leadership provides a promising approach to: equipping the healthcare leader with those transferable leadership skills required to help them embark on a journey of lifelong leadership learning; and producing the healthcare leader who is caring, compassionate and can confidently and effectively transform community services. © 2014 John Wiley & Sons Ltd.
Embedding Volunteer Activity into Paramedic Education.
Ross, Linda; Kabidi, Sophia
2017-01-01
Paramedics require a wide range of skills that are beyond clinical or technical skills in order to meet the demands of the role and provide quality and compassionate care to patients. Non-technical or "soft" skills and attributes are generally challenging to teach and develop in the classroom setting. Volunteerism provides an opportunity for students to gain exposure to different communities and develop interpersonal skills. This cross-sectional study used one-on-one interviews with 12 third-year Bachelor of Emergency Health (Paramedic) students from Monash University, Australia, who completed a community volunteering program. Results suggest that paramedic students see volunteering as a highly valuable means of developing a number of skills crucial to their future roles and paramedic practice. Volunteering also provided students with an opportunity to learn about themselves and the broader community, develop confidence, and improve overall job-readiness and employability. This study demonstrates that embedding volunteering into paramedic education is an effective way to develop the broad range of paramedic attributes required for the role. These experiences allow students to make the important transition to a job-ready graduate paramedic who can provide holistic patient-centred care.
Embedding Learning How to Learn in School Policy: The Challenge for Leadership
ERIC Educational Resources Information Center
Swaffield, Sue; MacBeath, John
2006-01-01
Achieving lasting and deep-seated change in schools through the embedding of a new set of practices with associated values is a familiar goal. This paper draws upon interviews with school coordinators and head teachers participating in the Learning How to Learn Project to explore the nature of embedding and the related challenges for leadership.…
Embedded Picture Mnemonics to Learn Letters
ERIC Educational Resources Information Center
Shmidman, Adina; Ehri, Linnea
2010-01-01
Can embedded mnemonics ease the task of learning a foreign alphabet? English-speaking preschoolers (N = 36, M = 5;2 years) were taught 10 Hebrew letter-sound relations. Experimental letters were learned with mnemonics that embedded letter shapes in drawings of objects whose shapes resembled the letters and whose English names began with the…
ERIC Educational Resources Information Center
de Vries, Meinou H.; Monaghan, Padraic; Knecht, Stefan; Zwitserlood, Pienie
2008-01-01
Embedded hierarchical structures, such as "the rat the cat ate was brown", constitute a core generative property of a natural language theory. Several recent studies have reported learning of hierarchical embeddings in artificial grammar learning (AGL) tasks, and described the functional specificity of Broca's area for processing such structures.…
Callanan, Maureen; Cervantes, Christi; Loomis, Molly
2011-11-01
We consider research and theory relevant to the notion of informal learning. Beginning with historical and definitional issues, we argue that learning happens not just in schools or in school-aged children. Many theorists have contrasted informal learning with formal learning. Moving beyond this dichotomy, and away from a focus on where learning occurs, we discuss five dimensions of informal learning that are drawn from the literature: (1) non-didactive, (2) highly socially collaborative, (3) embedded in meaningful activity, (4) initiated by learner's interest or choice, and (5) removed from external assessment. We consider these dimensions in the context of four sample domains: learning a first language, learning about the mind and emotions within families and communities, learning about science in family conversations and museum settings, and workplace learning. Finally, we conclude by considering convergences and divergences across the different literatures and suggesting areas for future research. WIREs Cogni Sci 2011 2 646-655 DOI: 10.1002/wcs.143 For further resources related to this article, please visit the WIREs website. Copyright © 2011 John Wiley & Sons, Ltd.
Pediatric Care Coordination: Lessons Learned and Future Priorities.
Cady, Rhonda G; Looman, Wendy S; Lindeke, Linda L; LaPlante, Bonnie; Lundeen, Barbara; Seeley, Amanda; Kautto, Mary E
2015-09-30
A fundamental component of the medical home model is care coordination. In Minnesota, this model informed design and implementation of the state's health care home (HCH) model, a key element of statewide healthcare reform legislation. Children with medical complexity (CMC) often require care from multiple specialists and community resources. Coordinating this multi-faceted care within the HCH is challenging. This article describes the need for specialized models of care coordination for CMC. Two models of care coordination for CMC were developed to address this challenge. The TeleFamilies Model of Pediatric Care Coordination uses an advanced practice registered nurse care (APRN) coordinator embedded within an established HCH. The PRoSPer Model of Pediatric Care Coordination uses a registered nurse/social worker care coordinator team embedded within a specialty care system. We describe key findings from implementation of these models, and conclude with lessons learned. Replication of the models is encouraged to increase the evidence base for care coordination for the growing population of children with medical complexities.
A Project-Based Laboratory for Learning Embedded System Design with Industry Support
ERIC Educational Resources Information Center
Lee, Chyi-Shyong; Su, Juing-Huei; Lin, Kuo-En; Chang, Jia-Hao; Lin, Gu-Hong
2010-01-01
A project-based laboratory for learning embedded system design with support from industry is presented in this paper. The aim of this laboratory is to motivate students to learn the building blocks of embedded systems and practical control algorithms by constructing a line-following robot using the quadratic interpolation technique to predict the…
DeBell, Matthew; Crystal, David S
2005-12-01
This study examined the relationship between scores on field dependence and field independence and sensory learning preference, cognitive learning style, personality, interpersonal trust, attributions of responsibility for solving social problems, and attitudes regarding citizenship among youth. Participants were 72 private school students in Grades 6 through 12 (26 girls, 46 boys; M age: 15.2 yr., SD=1.9). When controlling for grade and sex, field independence (measured by Group Embedded Figures Test scores) was associated with Intuitive Thinking personality, Concrete lobal learning style, and rejection of individual responsibility for social problems, relative to governmental and community responsibility. Associations with other aspects of learning style fell short of significance. No association was found with generalized trust or citizenship attitudes. Reassessment of these variables with a larger sample should be undertaken.
NASA Astrophysics Data System (ADS)
Chen, Cheng-ping; Wang, Chang-Hwa
2015-12-01
Studies have proven that merging hands-on and online learning can result in an enhanced experience in learning science. In contrast to traditional online learning, multiple in-classroom activities may be involved in an augmented-reality (AR)-embedded e-learning process and thus could reduce the effects of individual differences. Using a three-stage AR-embedded instructional process, we conducted an experiment to investigate the influences of individual differences on learning earth science phenomena of "day, night, and seasons" for junior highs. The mixed-methods sequential explanatory design was employed. In the quantitative phase, factors of learning styles and ICT competences were examined alongside with the overall learning achievement. Independent t tests and ANCOVAs were employed to achieve inferential statistics. The results showed that overall learning achievement was significant for the AR-embedded instruction. Nevertheless, neither of the two learner factors exhibited significant effect on learning achievement. In the qualitative phase, we analyzed student interview records, and a wide variation on student's preferred instructional stages were revealed. These findings could provide an alternative rationale for developing ICT-supported instruction, as our three-stage AR-embedded comprehensive e-learning scheme could enhance instruction adaptiveness to disperse the imparities of individual differences between learners.
Hospitality: transformative service to children, families, and communities.
Melton, Gary B
2014-11-01
Hospitality is an ancient moral practice that was deeply embedded in early Judaism, Christianity, and Islam. Hospitality requires acceptance of, service to, and respect for people who lack a place in the community. The contemporary importance of this practice reflects the social disconnection and economic disadvantage of many young parents and the high frequency of separation of young people, including many young parents, from their communities. Such social deterioration substantially increases the risk of child maltreatment. Building on the proposals of the U.S. Advisory Board on Child Abuse and Neglect, Strong Communities for Children demonstrated the effectiveness of community building in reducing such risk. It further suggested the importance of both relying on and learning from hospitable people in strengthening support for children and their parents. PsycINFO Database Record (c) 2014 APA, all rights reserved.
Hyperspectral target detection using manifold learning and multiple target spectra
Ziemann, Amanda K.; Theiler, James; Messinger, David W.
2016-03-31
Imagery collected from satellites and airborne platforms provides an important tool for remotely analyzing the content of a scene. In particular, the ability to remotely detect a specific material within a scene is of critical importance in nonproliferation and other applications. The sensor systems that process hyperspectral images collect the high-dimensional spectral information necessary to perform these detection analyses. For a d-dimensional hyperspectral image, however, where d is the number of spectral bands, it is common for the data to inherently occupy an m-dimensional space with m << d. In the remote sensing community, this has led to recent interestmore » in the use of manifold learning, which seeks to characterize the embedded lower-dimensional, nonlinear manifold that the data discretely approximate. The research presented in this paper focuses on a graph theory and manifold learning approach to target detection, using an adaptive version of locally linear embedding that is biased to separate target pixels from background pixels. Finally, this approach incorporates multiple target signatures for a particular material, accounting for the spectral variability that is often present within a solid material of interest.« less
ERIC Educational Resources Information Center
Kim, Miseon; Dolan, Michael
2015-01-01
This paper examines the embedded librarian program and its impact on the information literacy skills of community college students at Queensborough Community College (QCC). It is a collaboration between an embedded librarian and an English instructor at QCC. The study participants are QCC students enrolled in seven sections of English 101 and…
Astronomy Outreach Adventures in Rural Guatemala
NASA Astrophysics Data System (ADS)
Strubbe, L.
2015-03-01
Astronomy can be an inspirational gateway to learning science and analytical reasoning, and to careers in STEM fields-particularly important in developing countries where educational opportunities can be scarce. Following this idea and my interest in learning about other cultures, I decided to spend 6 weeks in late 2011 (between Ph.D. and postdoc) doing astronomy public outreach in Guatemala. I volunteered through a Spanish language school embedded in a poor rural community (typical earning ~ $3/day), working mostly with children. My teaching goals were primarily attitudinal: to encourage people to observe and ask questions about the world around them, and to show them that phenomena have explanations that we can understand.
A Case Study of Job-Embedded Learning
ERIC Educational Resources Information Center
Hess, Amanda Nichols
2016-01-01
Librarians recognize the importance of professional learning as their roles and responsibilities evolve in the shifting teaching and learning environments of the twenty-first century. However, the literature on meaningful, job-embedded learning opportunities for academic librarians is scant, and opportunities are especially scarce in the fields of…
NASA Astrophysics Data System (ADS)
Kambe, Hidetoshi; Mitsui, Hiroyasu; Endo, Satoshi; Koizumi, Hisao
The applications of embedded system technologies have spread widely in various products, such as home appliances, cellular phones, automobiles, industrial machines and so on. Due to intensified competition, embedded software has expanded its role in realizing sophisticated functions, and new development methods like a hardware/software (HW/SW) co-design for uniting HW and SW development have been researched. The shortfall of embedded SW engineers was estimated to be approximately 99,000 in the year 2006, in Japan. Embedded SW engineers should understand HW technologies and system architecture design as well as SW technologies. However, a few universities offer this kind of education systematically. We propose a student experiment method for learning the basics of embedded system development, which includes a set of experiments for developing embedded SW, developing embedded HW and experiencing HW/SW co-design. The co-design experiment helps students learn about the basics of embedded system architecture design and the flow of designing actual HW and SW modules. We developed these experiments and evaluated them.
Implicit Learning of Recursive Context-Free Grammars
Rohrmeier, Martin; Fu, Qiufang; Dienes, Zoltan
2012-01-01
Context-free grammars are fundamental for the description of linguistic syntax. However, most artificial grammar learning experiments have explored learning of simpler finite-state grammars, while studies exploring context-free grammars have not assessed awareness and implicitness. This paper explores the implicit learning of context-free grammars employing features of hierarchical organization, recursive embedding and long-distance dependencies. The grammars also featured the distinction between left- and right-branching structures, as well as between centre- and tail-embedding, both distinctions found in natural languages. People acquired unconscious knowledge of relations between grammatical classes even for dependencies over long distances, in ways that went beyond learning simpler relations (e.g. n-grams) between individual words. The structural distinctions drawn from linguistics also proved important as performance was greater for tail-embedding than centre-embedding structures. The results suggest the plausibility of implicit learning of complex context-free structures, which model some features of natural languages. They support the relevance of artificial grammar learning for probing mechanisms of language learning and challenge existing theories and computational models of implicit learning. PMID:23094021
A Dissemination Methodology for Learning and Teaching Developments through Engaging and Embedding
ERIC Educational Resources Information Center
Treleaven, Lesley; Sykes, Chris; Ormiston, Jarrod
2012-01-01
Dissemination of learning and teaching innovation in higher education requires approaches to change that are socially contextualised, dynamic and self-reflexive. This article, therefore, presents a methodology for dissemination employing an embedding heuristic and engaging in participatory action research. The embedding approach emphasises three…
Hutchins, Frank T; Brown, Lori DiPrete; Poulsen, Keith P
2014-02-01
International immersion experiences do not, in themselves, provide students with the opportunity to develop cultural competence. However, using an anthropological lens to educate students allows them to learn how to negotiate cultural differences by removing their own cultural filters and seeing events through the eyes of those who are culturally different. Faculty at the University of Wisconsin-Madison's Global Health Institute believed that an embedded experience, in which students engaged with local communities, would encourage them to adopt this Cultural Competency 2.0 position. With this goal in mind, they started the Field School for the Study of Language, Culture, and Community Health in Ecuador in 2003 to teach cultural competency to medical, veterinary, pharmacy, and nursing students. The program was rooted in medical anthropology and embraced the One Health initiative, which is a collaborative effort of multiple disciplines working locally, nationally, and globally to obtain optimal health for people, animals, and the environment. In this article, the authors identify effective practices and challenges for using a biocultural approach to educating students. In a semester-long preparatory class, students study the Spanish language, region-specific topics, and community engagement principles. While in Ecuador for five weeks, students apply their knowledge during community visits that involve homestays and service learning projects, for which they partner with local communities to meet their health needs. This combination of language and anthropological course work and community-based service learning has led to positive outcomes for the local communities as well as professional development for students and faculty.
ERIC Educational Resources Information Center
Chen, Cheng-ping; Wang, Chang-Hwa
2015-01-01
Studies have proven that merging hands-on and online learning can result in an enhanced experience in learning science. In contrast to traditional online learning, multiple in-classroom activities may be involved in an augmented-reality (AR)-embedded e-learning process and thus could reduce the effects of individual differences. Using a…
ERIC Educational Resources Information Center
Megele, Claudia
2015-01-01
This paper outlines the redesign of an MSc module to enhance students' engagement and learning through embedding social media technologies into the academic curriculum as a learning and assessment strategy, and in a complementary manner that facilitated and enhanced the achievement of the module's learning outcomes. This paper describes the…
Teaching Quantum Mechanics through Project-based Learning
NASA Astrophysics Data System (ADS)
Duda, Gintaras; Ward, Kristina
2014-03-01
Project/Problem-based learning (PBL) is an active area of research within the physics education research (PER) community, however, work done to date has focused on introductory courses. This talk will explore research on upper division quantum mechanics, a junior/senior level course at Creighton University, which was taught using PBL pedagogy with no in-class lectures. Course time was primarily spent on lecture tutorials and projects, which included alpha decay of Uranium, neutrino oscillations, and FTIR spectroscopy of HCl. This talk will explore: 1. student learning in light of the new pedagogy and embedded meta-cognitive self-monitoring exercises, 2. the effect of the PBL curriculum on student attitudes, motivation, and students' epistemologies, and 3. the use of explicit written reflections within a physics course to probe student understanding.
The Impact of a Question-Embedded Video-Based Learning Tool on E-Learning
ERIC Educational Resources Information Center
Vural, Omer Faruk
2013-01-01
In this study, it is mainly focused on investigating the effect of question-embedded online interactive video environment on student achievement. A quasi-experimental design was development to compare the effectiveness of a question-embedded interactive video environment (QVE) and an interactive video environment without the question component…
Saadati, Farzaneh; Ahmad Tarmizi, Rohani; Mohd Ayub, Ahmad Fauzi; Abu Bakar, Kamariah
2015-01-01
Because students' ability to use statistics, which is mathematical in nature, is one of the concerns of educators, embedding within an e-learning system the pedagogical characteristics of learning is 'value added' because it facilitates the conventional method of learning mathematics. Many researchers emphasize the effectiveness of cognitive apprenticeship in learning and problem solving in the workplace. In a cognitive apprenticeship learning model, skills are learned within a community of practitioners through observation of modelling and then practice plus coaching. This study utilized an internet-based Cognitive Apprenticeship Model (i-CAM) in three phases and evaluated its effectiveness for improving statistics problem-solving performance among postgraduate students. The results showed that, when compared to the conventional mathematics learning model, the i-CAM could significantly promote students' problem-solving performance at the end of each phase. In addition, the combination of the differences in students' test scores were considered to be statistically significant after controlling for the pre-test scores. The findings conveyed in this paper confirmed the considerable value of i-CAM in the improvement of statistics learning for non-specialized postgraduate students.
Bines, Julie E; Jamieson, Peter
2013-09-01
Hospitals are complex places that provide a rich learning environment for students, staff, patients and their families, professional groups and the community. The "new" Royal Children's Hospital opened in late 2011. Its mission is focused on improving health and well-being of children and adolescents through leadership in healthcare, research and education. Addressing the need to create "responsive learning environments" aligned with the shift to student-centred pedagogy, two distinct learning environments were developed within the new Royal Children's Hospital; (i) a dedicated education precinct providing a suite of physical environments to promote a more active, collaborative and social learning experience for education and training programs conducted on the Royal Children's Hospital campus and (ii) a suite of learning spaces embedded within clinical areas so that learning becomes an integral part of the daily activities of this busy Hospital environment. The aim of this article is to present the overarching educational principles that lead the design of these learning spaces and describe the opportunities and obstacles encountered in the development of collaborative learning spaces within a large hospital development.
a Probabilistic Embedding Clustering Method for Urban Structure Detection
NASA Astrophysics Data System (ADS)
Lin, X.; Li, H.; Zhang, Y.; Gao, L.; Zhao, L.; Deng, M.
2017-09-01
Urban structure detection is a basic task in urban geography. Clustering is a core technology to detect the patterns of urban spatial structure, urban functional region, and so on. In big data era, diverse urban sensing datasets recording information like human behaviour and human social activity, suffer from complexity in high dimension and high noise. And unfortunately, the state-of-the-art clustering methods does not handle the problem with high dimension and high noise issues concurrently. In this paper, a probabilistic embedding clustering method is proposed. Firstly, we come up with a Probabilistic Embedding Model (PEM) to find latent features from high dimensional urban sensing data by "learning" via probabilistic model. By latent features, we could catch essential features hidden in high dimensional data known as patterns; with the probabilistic model, we can also reduce uncertainty caused by high noise. Secondly, through tuning the parameters, our model could discover two kinds of urban structure, the homophily and structural equivalence, which means communities with intensive interaction or in the same roles in urban structure. We evaluated the performance of our model by conducting experiments on real-world data and experiments with real data in Shanghai (China) proved that our method could discover two kinds of urban structure, the homophily and structural equivalence, which means clustering community with intensive interaction or under the same roles in urban space.
Video Game Learning Dynamics: Actionable Measures of Multidimensional Learning Trajectories
ERIC Educational Resources Information Center
Reese, Debbie Denise; Tabachnick, Barbara G.; Kosko, Robert E.
2015-01-01
Valid, accessible, reusable methods for instructional video game design and embedded assessment can provide actionable information enhancing individual and collective achievement. Cyberlearning through game-based, metaphor-enhanced learning objects (CyGaMEs) design and embedded assessment quantify player behavior to study knowledge discovery and…
Concurrent Movement Impairs Incidental but Not Intentional Statistical Learning
ERIC Educational Resources Information Center
Stevens, David J.; Arciuli, Joanne; Anderson, David I.
2015-01-01
The effect of concurrent movement on incidental versus intentional statistical learning was examined in two experiments. In Experiment 1, participants learned the statistical regularities embedded within familiarization stimuli implicitly, whereas in Experiment 2 they were made aware of the embedded regularities and were instructed explicitly to…
Adapting Cooperative Learning and Embedding It into Holistic Language Usage.
ERIC Educational Resources Information Center
Bailey, Dora L.; Ginnetti, Philip
Class collaboration and small group composition illustrate the embedding of cooperative learning theory in whole language classroom events. Through this experience all students participate in active learning. The teacher has a weighty role in decision making, setting of the lesson, assigning roles, and monitoring segments of cooperative learning…
A Critical Analysis of Job-Embedded Professional Learning within a Distributed Leadership Framework
ERIC Educational Resources Information Center
Campoli, Ashley Jimerson
2011-01-01
Leadership style and professional learning have been linked to student achievement. Studies have linked leadership styles such as distributed leadership to job-embedded professional learning. However, research is mixed when these two constructs are related to student achievement. This study evaluated the relationship between distributed…
Web-Based Learning: Cognitive Styles and Instructional Strategies
ERIC Educational Resources Information Center
Alomyan, Hesham Raji
2016-01-01
This paper reports a study, which investigated whether different instructional strategies might interact with individual's cognitive style in learning. A web-based learning package was designed employing three strategies, Interactive Concept Maps, Illustration with Embedded Text and Text-Only. Group Embedded Figure Test was administered to 178…
Component Composition for Embedded Systems Using Semantic Aspect-Oriented Programming
2004-10-01
real - time systems for the defense community. Our research focused on Real-Time Java implementation and analysis techniques. Real-Time Java is important for the defense community because it holds out the promise of enabling developers to apply COTS Java technology to specialized military embedded systems. It also promises to allow the defense community to utilize a large Java-literate workforce for building defense systems. Our research has delivered several techniques that may make Real-Time Java a better platform for developing embedded
Willems Van Dijk, Julie A; Catlin, Bridget; Cofsky, Abbey; Carroll, Carrie
2015-11-01
Communities across the United States are increasingly tackling the complex task of changing their local environments and cultures to improve access to and consumption of healthy food. Communities that have received the Robert Wood Johnson Foundation Culture of Health Prize have deployed numerous evidence-informed strategies to enhance their local food environments. Their experiences can provide lessons for other communities working to improve health. In this article we examine how the prize-winning communities worked in a multidisciplinary collective manner to implement evidence-based strategies, deployed suites of strategies to expand the reach of food-related work, balanced evidence against innovation, and measured their own progress. Most of the communities also faced challenges in using evidence effectively to implement strategies to promote healthy food environments. Policy makers can accelerate the adoption of evidence-informed approaches related to food and health by embedding them in program standards and funding requirements. Establishing opportunities for ongoing training to enhance community practitioners' evaluation skills and collaborative leadership would also improve the effectiveness of community implementation of these strategies. Project HOPE—The People-to-People Health Foundation, Inc.
Architecture of an E-Learning System with Embedded Authoring Support.
ERIC Educational Resources Information Center
Baudry, Andreas; Bungenstock, Michael; Mertsching, Barbel
This paper introduces an architecture for an e-learning system with an embedded authoring system. Based on the metaphor of a construction kit, this approach offers a general solution for specific content creation and publication. The learning resources are IMS "Content Packages" with a special structure to separate content and presentation. These…
Strategies for Embedding e-Learning in Traditional Universities: Drivers and Barriers
ERIC Educational Resources Information Center
MacKeogh, Kay; Fox, Seamus
2009-01-01
This paper addresses the question: how can e-learning be embedded in traditional universities so that it contributes to the transformation of the university? The paper examines e-learning strategies in higher education, locating the institutional context within the broader framework of national and international policy drivers which link…
ERIC Educational Resources Information Center
Reinhorn, Stefanie Karchmer
2015-01-01
Policy makers, practitioners and scholars agree that teachers need sustained job-embedded professional learning experiences to help students meet the demands of new accountability systems, higher education, and the workforce (Smylie, Miretzky, & Konkol, 2004; Valli & Buese, 2007). Research shows that job-embedded learning for teachers can…
Wellness works: community service health promotion groups led by occupational therapy students.
Scott, A H
1999-01-01
In the context of a group process course, occupational therapy students learned health promotion skills through working on personal wellness goals and leading community-based health promotion groups. The groups targeted topics such as smoking cessation, improving diet, reducing stress through yoga, meditation, tai chi chuan, ROM (Range of Motion) Dance, aerobics, and a variety of other activities. After identifying a personal wellness goal and developing it in a Wellness Awareness Learning Contract, each student used a Goal Attainment Scale (GAS) to predict an expected outcome for achieving the goal and to measure his or her progress toward attaining the goal. Students also used the GAS to measure progress in attaining group leadership skills within the community groups, which they outlined in a separate Group Skills Contract. Students kept weekly logs to foster reflective thinking, and the logs were used for interactive dialogue with the instructor. To further evaluate lifestyle change, students compared pretest and posttest scores on a Self-Assessment Scorecard, which surveyed six areas of health and human potential in body, mind, and spirit. Students monitored their own change process on both their personal health lifestyle goals and their group leadership skills while developing a richer appreciation of the dynamics of working for change with clients in community and traditional settings. Differences on the Self-Assessment Scorecard indicated improvement on two of the six scales for physical health and choices. Students experienced firsthand the challenges of developing healthier lifestyles on the basis of their personal goals as well as through fostering group changes. The two GAS learning contracts provided them with concrete evidence of their growth and learning. This experience--embedded in the context of a group process course with a community service learning group practicum--provided most students with a positive initial experience with group leadership as they began to explore roles as agents for lifestyle and health change. Suggestions for expanding health promotion roles in practice in the changing health care environment are also examined.
Jauregi Unanue, Iñigo; Zare Borzeshi, Ehsan; Piccardi, Massimo
2017-12-01
Previous state-of-the-art systems on Drug Name Recognition (DNR) and Clinical Concept Extraction (CCE) have focused on a combination of text "feature engineering" and conventional machine learning algorithms such as conditional random fields and support vector machines. However, developing good features is inherently heavily time-consuming. Conversely, more modern machine learning approaches such as recurrent neural networks (RNNs) have proved capable of automatically learning effective features from either random assignments or automated word "embeddings". (i) To create a highly accurate DNR and CCE system that avoids conventional, time-consuming feature engineering. (ii) To create richer, more specialized word embeddings by using health domain datasets such as MIMIC-III. (iii) To evaluate our systems over three contemporary datasets. Two deep learning methods, namely the Bidirectional LSTM and the Bidirectional LSTM-CRF, are evaluated. A CRF model is set as the baseline to compare the deep learning systems to a traditional machine learning approach. The same features are used for all the models. We have obtained the best results with the Bidirectional LSTM-CRF model, which has outperformed all previously proposed systems. The specialized embeddings have helped to cover unusual words in DrugBank and MedLine, but not in the i2b2/VA dataset. We present a state-of-the-art system for DNR and CCE. Automated word embeddings has allowed us to avoid costly feature engineering and achieve higher accuracy. Nevertheless, the embeddings need to be retrained over datasets that are adequate for the domain, in order to adequately cover the domain-specific vocabulary. Copyright © 2017 Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Taylor, William; And Others
The effects of the Attention Directing Strategy and Imagery Cue Strategy as program embedded learning strategies for microcomputer-based instruction (MCBI) were examined in this study. Eight learning conditions with identical instructional content on the parts and operation of the human heart were designed: either self-paced or externally-paced,…
ERIC Educational Resources Information Center
Reese, Debbie Denise; Tabachnick, Barbara G.
2010-01-01
In this paper, the authors summarize a quantitative analysis demonstrating that the CyGaMEs toolset for embedded assessment of learning within instructional games measures growth in conceptual knowledge by quantifying player behavior. CyGaMEs stands for Cyberlearning through GaME-based, Metaphor Enhanced Learning Objects. Some scientists of…
Embedding Research in a Field-Based Module through Peer Review and Assessment for Learning
ERIC Educational Resources Information Center
Nicholson, Dawn T.
2011-01-01
A case study is presented of embedding research in a final year undergraduate, field-based, physical geography module. The approach is holistic, whereby research-based learning activities simulate the full life cycle of research from inception through to peer review and publication. The learning, teaching and assessment strategy emphasizes the…
Embedded Blended Learning within an Algebra Classroom: A Multimedia Capture Experiment
ERIC Educational Resources Information Center
Smith, J. G.; Suzuki, S.
2015-01-01
This two-group, pretest-posttest, quasi-experimental study compared secondary students' learning of Algebra II materials over a 4-week period when identical instruction by the same teacher was delivered through either embedded blended learning (treatment group; n?=?32) or a live-lecture classroom (control group; n?=?24). For both groups,…
Hu, Weiming; Gao, Jin; Xing, Junliang; Zhang, Chao; Maybank, Stephen
2017-01-01
An appearance model adaptable to changes in object appearance is critical in visual object tracking. In this paper, we treat an image patch as a two-order tensor which preserves the original image structure. We design two graphs for characterizing the intrinsic local geometrical structure of the tensor samples of the object and the background. Graph embedding is used to reduce the dimensions of the tensors while preserving the structure of the graphs. Then, a discriminant embedding space is constructed. We prove two propositions for finding the transformation matrices which are used to map the original tensor samples to the tensor-based graph embedding space. In order to encode more discriminant information in the embedding space, we propose a transfer-learning- based semi-supervised strategy to iteratively adjust the embedding space into which discriminative information obtained from earlier times is transferred. We apply the proposed semi-supervised tensor-based graph embedding learning algorithm to visual tracking. The new tracking algorithm captures an object's appearance characteristics during tracking and uses a particle filter to estimate the optimal object state. Experimental results on the CVPR 2013 benchmark dataset demonstrate the effectiveness of the proposed tracking algorithm.
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.
Saadati, Farzaneh; Ahmad Tarmizi, Rohani
2015-01-01
Because students’ ability to use statistics, which is mathematical in nature, is one of the concerns of educators, embedding within an e-learning system the pedagogical characteristics of learning is ‘value added’ because it facilitates the conventional method of learning mathematics. Many researchers emphasize the effectiveness of cognitive apprenticeship in learning and problem solving in the workplace. In a cognitive apprenticeship learning model, skills are learned within a community of practitioners through observation of modelling and then practice plus coaching. This study utilized an internet-based Cognitive Apprenticeship Model (i-CAM) in three phases and evaluated its effectiveness for improving statistics problem-solving performance among postgraduate students. The results showed that, when compared to the conventional mathematics learning model, the i-CAM could significantly promote students’ problem-solving performance at the end of each phase. In addition, the combination of the differences in students' test scores were considered to be statistically significant after controlling for the pre-test scores. The findings conveyed in this paper confirmed the considerable value of i-CAM in the improvement of statistics learning for non-specialized postgraduate students. PMID:26132553
A framework for optimal kernel-based manifold embedding of medical image data.
Zimmer, Veronika A; Lekadir, Karim; Hoogendoorn, Corné; Frangi, Alejandro F; Piella, Gemma
2015-04-01
Kernel-based dimensionality reduction is a widely used technique in medical image analysis. To fully unravel the underlying nonlinear manifold the selection of an adequate kernel function and of its free parameters is critical. In practice, however, the kernel function is generally chosen as Gaussian or polynomial and such standard kernels might not always be optimal for a given image dataset or application. In this paper, we present a study on the effect of the kernel functions in nonlinear manifold embedding of medical image data. To this end, we first carry out a literature review on existing advanced kernels developed in the statistics, machine learning, and signal processing communities. In addition, we implement kernel-based formulations of well-known nonlinear dimensional reduction techniques such as Isomap and Locally Linear Embedding, thus obtaining a unified framework for manifold embedding using kernels. Subsequently, we present a method to automatically choose a kernel function and its associated parameters from a pool of kernel candidates, with the aim to generate the most optimal manifold embeddings. Furthermore, we show how the calculated selection measures can be extended to take into account the spatial relationships in images, or used to combine several kernels to further improve the embedding results. Experiments are then carried out on various synthetic and phantom datasets for numerical assessment of the methods. Furthermore, the workflow is applied to real data that include brain manifolds and multispectral images to demonstrate the importance of the kernel selection in the analysis of high-dimensional medical images. Copyright © 2014 Elsevier Ltd. All rights reserved.
Effects of Embedded Processing Tasks on Learning Outcomes.
ERIC Educational Resources Information Center
Hobbs, D. J.
1987-01-01
Describes a British study with undergraduate accountancy students which compared the quantitative and qualitative effects of three types of embedded tasks or questions--relational-semantic, transpose-semantic, and non-semantic--on learning outcomes. Variables investigated included mathematical background, recall, and comprehension. Relevance of…
The Process of Becoming an Embedded Curriculum Librarian in Multiple Health Sciences Programs.
Wilson, Gwen
2015-01-01
Higher education is moving to offer more fully online programs, and the health science fields are no different. These programs are either hybrid or completely online. It is up to the health sciences librarian to adapt services offered by the academic library to these types of courses. This column discusses the multiple ways a librarian can be an embedded librarian in a course using a learning management system (LMS). The process of creating a customized embedded librarian program, results, and lessons learned from the different embedded librarian roles are also discussed.
A Collaborative Team Teaching Model for a MSW Capstone Course.
Moore, Rebecca M; Darby, Kathleen H; Blake, Michelle E
2016-01-01
This exploratory study was embedded in a formative process for the purposes of improving content delivery to an evidence-based practice class, and improving students' performance on a comprehensive exam. A learning and teaching model was utilized by faculty from a three-university collaborative graduate social work program to examine the extent to which course texts and assignments explicitly supported the process, application, and evaluation of evidence-based practices. The model was grounded in a collaborative culture, allowing each faculty to share their collective skills and knowledge across a range of practice settings as they revised the course curriculum. As a result, faculty found they had created a unique community that allowed a wider context for learning and professional development that translated into the classroom. Students enrolled in the revised course across all three universities showed improvement on the comprehensive exam. When faculty themselves invest in collaborative learning and teaching, students benefit.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Arendt, Dustin L.; Volkova, Svitlana
Analyzing and visualizing large amounts of social media communications and contrasting short-term conversation changes over time and geo-locations is extremely important for commercial and government applications. Earlier approaches for large-scale text stream summarization used dynamic topic models and trending words. Instead, we rely on text embeddings – low-dimensional word representations in a continuous vector space where similar words are embedded nearby each other. This paper presents ESTEEM,1 a novel tool for visualizing and evaluating spatiotemporal embeddings learned from streaming social media texts. Our tool allows users to monitor and analyze query words and their closest neighbors with an interactive interface.more » We used state-of- the-art techniques to learn embeddings and developed a visualization to represent dynamically changing relations between words in social media over time and other dimensions. This is the first interactive visualization of streaming text representations learned from social media texts that also allows users to contrast differences across multiple dimensions of the data.« less
ERIC Educational Resources Information Center
Burkins, Jan Miller; Ritchie, Scott
2007-01-01
Researchers have argued that "job-embedded" professional learning is the most valuable model for teachers (Joyce & Showers, 2002). But there is little or no corresponding literature regarding job-embedded professional learning for literacy coaches. In this paper, the authors offer an example of one such model, the Coach-to-Coach…
A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification.
Zhengming Li; Zhihui Lai; Yong Xu; Jian Yang; Zhang, David
2017-02-01
Locality and label information of training samples play an important role in image classification. However, previous dictionary learning algorithms do not take the locality and label information of atoms into account together in the learning process, and thus their performance is limited. In this paper, a discriminative dictionary learning algorithm, called the locality-constrained and label embedding dictionary learning (LCLE-DL) algorithm, was proposed for image classification. First, the locality information was preserved using the graph Laplacian matrix of the learned dictionary instead of the conventional one derived from the training samples. Then, the label embedding term was constructed using the label information of atoms instead of the classification error term, which contained discriminating information of the learned dictionary. The optimal coding coefficients derived by the locality-based and label-based reconstruction were effective for image classification. Experimental results demonstrated that the LCLE-DL algorithm can achieve better performance than some state-of-the-art algorithms.
Diverse power iteration embeddings: Theory and practice
Huang, Hao; Yoo, Shinjae; Yu, Dantong; ...
2015-11-09
Manifold learning, especially spectral embedding, is known as one of the most effective learning approaches on high dimensional data, but for real-world applications it raises a serious computational burden in constructing spectral embeddings for large datasets. To overcome this computational complexity, we propose a novel efficient embedding construction, Diverse Power Iteration Embedding (DPIE). DPIE shows almost the same effectiveness of spectral embeddings and yet is three order of magnitude faster than spectral embeddings computed from eigen-decomposition. Our DPIE is unique in that (1) it finds linearly independent embeddings and thus shows diverse aspects of dataset; (2) the proposed regularized DPIEmore » is effective if we need many embeddings; (3) we show how to efficiently orthogonalize DPIE if one needs; and (4) Diverse Power Iteration Value (DPIV) provides the importance of each DPIE like an eigen value. As a result, such various aspects of DPIE and DPIV ensure that our algorithm is easy to apply to various applications, and we also show the effectiveness and efficiency of DPIE on clustering, anomaly detection, and feature selection as our case studies.« less
ERIC Educational Resources Information Center
Lloyd, Kate; Howitt, Richard; Bilous, Rebecca; Clark, Lindie; Dowling, Robyn; Fagan, Robert; Fuller, Sara; Hammersley, Laura; Houston, Donna; McGregor, Andrew; McLean, Jessica; Miller, Fiona; Ruming, Kristian; Semple, Anne-Louise; Suchet-Pearson, Sandie
2015-01-01
In the context of continuing pressures from managerialist and neoliberal drivers of university reform in Australia, Macquarie University's recent undergraduate curriculum innovation, based on "People," "Planet," and "Participation," has resulted in the embedding and integration of experiential learning in its…
NASA Astrophysics Data System (ADS)
Tate, Erika Dawn
School science instruction that connects to students' diverse home, cultural, or linguistic experiences can encourage lifelong participation in the scientific dilemmas that impact students' lives. This dissertation seeks effective ways to support high school students as they learn complex science topics and use their knowledge to transform their personal and community environments. Applying the knowledge integration perspective, I collaborated with education, science, and community partners to design a technology enhanced science module, Improving Your Community's Asthma Problem. This exemplar community science curriculum afforded students the opportunity to (a) investigate a local community health issue, (b) interact with relevant evidence related to physiology, clinical management, and environmental risks, and (c) construct an integrated understanding of the asthma problem in their community. To identify effective instructional scaffolds that engage students in the knowledge integration process and prepare them to participate in community science, I conducted 2 years of research that included 5 schools, 10 teachers, and over 500 students. This dissertation reports on four studies that analyzed student responses on pre-, post-, and embedded assessments. Researching across four design stages, the iterative design study investigated how to best embed the visualizations of the physiological processes breathing, asthma attack, and the allergic immune response in an inquiry activity and informed evidence-based revisions to the module. The evaluation study investigated the impact of this revised Asthma module across multiple classrooms and differences in students' prior knowledge. Combining evidence of student learning from the iterative and evaluation studies with classroom observations and teacher interviews, the longitudinal study explored the impact of teacher practices on student learning in years 1 and 2. In the final chapter, I studied how the Asthma module and students' local community influenced students as they integrated their ideas related to perspectives, evidence use, the consideration of tradeoffs, and localization to construct explanations and decision justifications regarding their community's asthma problem. In the end, this dissertation offers evidence that informs the future design of community science instruction that successfully engages students in the knowledge integration process and has implications for creating multiple opportunities for students to meaningfully participate in community science.
Low-Rank Discriminant Embedding for Multiview Learning.
Li, Jingjing; Wu, Yue; Zhao, Jidong; Lu, Ke
2017-11-01
This paper focuses on the specific problem of multiview learning where samples have the same feature set but different probability distributions, e.g., different viewpoints or different modalities. Since samples lying in different distributions cannot be compared directly, this paper aims to learn a latent subspace shared by multiple views assuming that the input views are generated from this latent subspace. Previous approaches usually learn the common subspace by either maximizing the empirical likelihood, or preserving the geometric structure. However, considering the complementarity between the two objectives, this paper proposes a novel approach, named low-rank discriminant embedding (LRDE), for multiview learning by taking full advantage of both sides. By further considering the duality between data points and features of multiview scene, i.e., data points can be grouped based on their distribution on features, while features can be grouped based on their distribution on the data points, LRDE not only deploys low-rank constraints on both sample level and feature level to dig out the shared factors across different views, but also preserves geometric information in both the ambient sample space and the embedding feature space by designing a novel graph structure under the framework of graph embedding. Finally, LRDE jointly optimizes low-rank representation and graph embedding in a unified framework. Comprehensive experiments in both multiview manner and pairwise manner demonstrate that LRDE performs much better than previous approaches proposed in recent literatures.
NASA Astrophysics Data System (ADS)
Bottoms, SueAnn I.; Ciechanowski, Kathryn M.; Hartman, Brian
2015-12-01
Iterative cycles of enactment embedded in culturally and linguistically diverse contexts provide rich opportunities for preservice teachers (PSTs) to enact core practices of science. This study is situated in the larger Families Involved in Sociocultural Teaching and Science, Technology, Engineering and Mathematics (FIESTAS) project, which weaves together cycles of enactment, core practices in science education and culturally relevant pedagogies. The theoretical foundation draws upon situated learning theory and communities of practice. Using video analysis by PSTs and course artifacts, the authors studied how the iterative process of these cycles guided PSTs development as teachers of elementary science. Findings demonstrate how PSTs were drawing on resources to inform practice, purposefully noticing their practice, renegotiating their roles in teaching, and reconsidering "professional blindness" through cultural practice.
Embedded Creativity: Teaching Design Thinking via Distance Education
ERIC Educational Resources Information Center
Lloyd, Peter
2013-01-01
This paper shows how the design thinking skills of students learning at a distance can be consciously developed, and deliberately applied outside of the creative industries in what are termed 'embedded' contexts. The distance learning model of education pioneered by The Open University is briefly described before the technological…
Word embeddings quantify 100 years of gender and ethnic stereotypes.
Garg, Nikhil; Schiebinger, Londa; Jurafsky, Dan; Zou, James
2018-04-17
Word embeddings are a powerful machine-learning framework that represents each English word by a vector. The geometric relationship between these vectors captures meaningful semantic relationships between the corresponding words. In this paper, we develop a framework to demonstrate how the temporal dynamics of the embedding helps to quantify changes in stereotypes and attitudes toward women and ethnic minorities in the 20th and 21st centuries in the United States. We integrate word embeddings trained on 100 y of text data with the US Census to show that changes in the embedding track closely with demographic and occupation shifts over time. The embedding captures societal shifts-e.g., the women's movement in the 1960s and Asian immigration into the United States-and also illuminates how specific adjectives and occupations became more closely associated with certain populations over time. Our framework for temporal analysis of word embedding opens up a fruitful intersection between machine learning and quantitative social science.
1998-08-07
cognitive flexibility theory and generative learning theory which focus primarily on the individual student’s cognitive development , collaborative... develop "Handling Transfusion Hazards," a computer program based upon cognitive flexibility theory principles. The Program: Handling Transfusion Hazards...computer program was developed according to cognitive flexibility theory principles. A generative version was then developed by embedding
Citrin, David; Thapa, Poshan; Nirola, Isha; Pandey, Sachit; Kunwar, Lal Bahadur; Tenpa, Jasmine; Acharya, Bibhav; Rayamazi, Hari; Thapa, Aradhana; Maru, Sheela; Raut, Anant; Poudel, Sanjaya; Timilsina, Diwash; Dhungana, Santosh Kumar; Adhikari, Mukesh; Khanal, Mukti Nath; Pratap Kc, Naresh; Acharya, Bhim; Karki, Khem Bahadur; Singh, Dipendra Raman; Bangura, Alex Harsha; Wacksman, Jeremy; Storisteanu, Daniel; Halliday, Scott; Schwarz, Ryan; Schwarz, Dan; Choudhury, Nandini; Kumar, Anirudh; Wu, Wan-Ju; Kalaunee, S P; Chaudhari, Pushpa; Maru, Duncan
2018-06-04
Integrating care at the home and facility level is a critical yet neglected function of healthcare delivery systems. There are few examples in practice or in the academic literature of affordable, digitally-enabled integrated care approaches embedded within healthcare delivery systems in low- and middle-income countries. Simultaneous advances in affordable digital technologies and community healthcare workers offer an opportunity to address this challenge. We describe the development of an integrated care system involving community healthcare worker networks that utilize a home-to-facility electronic health record platform for rural municipalities in Nepal. Key aspects of our approach of relevance to a global audience include: community healthcare workers continuously engaging with populations through household visits every three months; community healthcare workers using digital tools during the routine course of clinical care; individual and population-level data generated routinely being utilized for program improvement; and being responsive to privacy, security, and human rights concerns. We discuss implementation, lessons learned, challenges, and opportunities for future directions in integrated care delivery systems. Copyright © 2018 Elsevier Inc. All rights reserved.
Project-Based Learning to Enhance Teaching Embedded Systems
ERIC Educational Resources Information Center
Sababha, Belal H.; Alqudah, Yazan A.; Abualbasal, Abdelraheem; AlQaralleh, Esam A.
2016-01-01
Exposing engineering students during their education to real-world problems and giving them the chance to apply what they learn in the classroom is a vital element of engineering education. The Embedded Systems course at Princess Sumaya University for Technology (PSUT) is one of the main courses that bridge the gap between theoretical electrical…
Business Meeting Training on Its Head: Inverted and Embedded Learning
ERIC Educational Resources Information Center
Van Praet, Ellen
2016-01-01
This article explores the value of using embedding to extend the notion of first exposure learning in flipped classroom practices. It describes a preclass assignment for a meeting and negotiation skills course, in which students are instructed to observe an authentic business meeting, interview participants of the meeting, photograph the…
Split-Attention and Redundancy Effects on Mobile Learning in Physical Environments
ERIC Educational Resources Information Center
Liu, Tzu-Chien; Lin, Yi-Chun; Tsai, Meng-Jung; Paas, Fred
2012-01-01
This study investigated split-attention and redundancy effects in a mobile learning environment on leaf morphology of plants as a function of different combinations of media. Eighty-one fifth-grade students were randomly assigned to the following three conditions: texts with pictures embedded in the mobile device (TP condition); texts embedded in…
Functions, Use and Effects of Embedded Support Devices in Printed Distance Learning Materials.
ERIC Educational Resources Information Center
Martens, Rob; And Others
1996-01-01
To support distance learning, printed materials for the course are enriched with embedded support devices (ESD) such as schemes, illustrations, examples, questions, or margin texts. Results of 3 studies involving 900 Dutch university students indicated that students used and appreciated ESD, and that they led to better study results. (SLD)
Effectiveness of Electronic Textbooks with Embedded Activities on Student Learning
ERIC Educational Resources Information Center
Porter, Paula L.
2010-01-01
Current versions of electronic textbooks mimic the format and structure of printed textbooks; however, the electronic capabilities of these new versions of textbooks offer the potential of embedding interactive features of web-based learning within the context of a textbook. This dissertation research study was conducted to determine if student…
Challenges in Embedding Numeracy throughout the Curriculum in Three Queensland Secondary Schools
ERIC Educational Resources Information Center
Carter, Merilyn Gladys; Klenowski, Valentina; Chalmers, Christina
2015-01-01
The Australian Curriculum identified seven General Capabilities, including numeracy, to be embedded in all learning areas. However, it has been left to individual schools to manage this. Whilst there is a growing body of literature about pedagogies that embed numeracy in various learning areas, there are few studies from the management…
A Laboratory Testbed for Embedded Fuzzy Control
ERIC Educational Resources Information Center
Srivastava, S.; Sukumar, V.; Bhasin, P. S.; Arun Kumar, D.
2011-01-01
This paper presents a novel scheme called "Laboratory Testbed for Embedded Fuzzy Control of a Real Time Nonlinear System." The idea is based upon the fact that project-based learning motivates students to learn actively and to use their engineering skills acquired in their previous years of study. It also fosters initiative and focuses…
ERIC Educational Resources Information Center
Bishop, Crystal D.; Snyder, Patricia A.; Crow, Robert E.
2015-01-01
We used a multi-component single-subject experimental design across three preschool teachers to examine the effects of video self-monitoring with graduated training and feedback on the accuracy with which teachers monitored their implementation of embedded instructional learning trials. We also examined changes in teachers' implementation of…
ERIC Educational Resources Information Center
Thies, Linda C.
2016-01-01
Most Australian universities articulate some policies around the integration of graduate learning outcomes in courses. This paper draws on a Federal Government funded project that adopted a developmental approach to students' acquisition of course learning outcomes, through the embedding of academic literacies in course curricula. The project was…
The Use and Effects of Embedded Support Devices in Independent Learning.
ERIC Educational Resources Information Center
Martens, Rob
This book examines embedded support in course material. The focus is on self-study and associated concepts such as independent learning, distance education, and open education, and the general context is adult and higher education. The seven chapters cover: (1) general introductory material, including a description of the future, distance…
ERIC Educational Resources Information Center
Rodriguez-Sanchez, M. C.; Torrado-Carvajal, Angel; Vaquero, Joaquin; Borromeo, Susana; Hernandez-Tamames, Juan A.
2016-01-01
This paper presents a case study analyzing the advantages and disadvantages of using project-based learning (PBL) combined with collaborative learning (CL) and industry best practices, integrated with information communication technologies, open-source software, and open-source hardware tools, in a specialized microcontroller and embedded systems…
Assessing Faculty Bias in Rating Embedded Assurance of Learning Assignments
ERIC Educational Resources Information Center
Kim, Dong-gook; Helms, Marilyn M.
2016-01-01
Assurance of learning (AoL) processes for continuous improvement and accreditation require business schools to assess program goals. Findings from the process can lead to changes in course design or curriculum. Often AoL assignments are embedded into existing courses and assessed at regular intervals. Faculty members may evaluate an assignment in…
Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network.
Wu, Yonghui; Jiang, Min; Lei, Jianbo; Xu, Hua
2015-01-01
Rapid growth in electronic health records (EHRs) use has led to an unprecedented expansion of available clinical data in electronic formats. However, much of the important healthcare information is locked in the narrative documents. Therefore Natural Language Processing (NLP) technologies, e.g., Named Entity Recognition that identifies boundaries and types of entities, has been extensively studied to unlock important clinical information in free text. In this study, we investigated a novel deep learning method to recognize clinical entities in Chinese clinical documents using the minimal feature engineering approach. We developed a deep neural network (DNN) to generate word embeddings from a large unlabeled corpus through unsupervised learning and another DNN for the NER task. The experiment results showed that the DNN with word embeddings trained from the large unlabeled corpus outperformed the state-of-the-art CRF's model in the minimal feature engineering setting, achieving the highest F1-score of 0.9280. Further analysis showed that word embeddings derived through unsupervised learning from large unlabeled corpus remarkably improved the DNN with randomized embedding, denoting the usefulness of unsupervised feature learning.
Promoting Scientist Communications Through Graduate Summer School in Heliophysics and Space Physics
NASA Astrophysics Data System (ADS)
Gross, N. A.; Schrijver, K.; Bagenal, F.; Sojka, J. J.; Wiltberger, M. J.
2014-12-01
edagogical tools that promote student interaction can be applied successfully during graduate workshops to enhance community and communication among the participants and instructors. The NASA/LWS funded Heliophysics Summer School and the NSF funded Space Weather Summer School provide graduate students starting research in the field, and others who are involved in space physics, an opportunity to learn from and interact with leaders in the field and each other. These interactions can happen casually, but there are a number of programatic aspects that foster the interaction so that they can be as fruitful as possible during the short period. These include: specific "ice-breaker" activities, practicing "elevator speeches", embedded lecture questions, question cards, discussion questions, interactive lab activities, structured lab groups, and use of social media. We are continuing to develop new ways to foster profession interaction during these short courses. Along with enhancing their own learning, the inclusion of these strategies provides both the participants and the instructors with models of good pedagogical tools and builds community among the students. Our specific implementation of these strategies and evidence of success will be presented.
The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming
ERIC Educational Resources Information Center
Gonzalez, J.; Pomares, H.; Damas, M.; Garcia-Sanchez,P.; Rodriguez-Alvarez, M.; Palomares, J. M.
2013-01-01
As embedded systems are becoming prevalent in everyday life, many universities are incorporating embedded systems-related courses in their undergraduate curricula. However, it is not easy to motivate students in such courses since they conceive of embedded systems as bizarre computing elements, different from the personal computers with which they…
Sanchez, Daniel J; Reber, Paul J
2012-04-01
The memory system that supports implicit perceptual-motor sequence learning relies on brain regions that operate separately from the explicit, medial temporal lobe memory system. The implicit learning system therefore likely has distinct operating characteristics and information processing constraints. To attempt to identify the limits of the implicit sequence learning mechanism, participants performed the serial interception sequence learning (SISL) task with covertly embedded repeating sequences that were much longer than most previous studies: ranging from 30 to 60 (Experiment 1) and 60 to 90 (Experiment 2) items in length. Robust sequence-specific learning was observed for sequences up to 80 items in length, extending the known capacity of implicit sequence learning. In Experiment 3, 12-item repeating sequences were embedded among increasing amounts of irrelevant nonrepeating sequences (from 20 to 80% of training trials). Despite high levels of irrelevant trials, learning occurred across conditions. A comparison of learning rates across all three experiments found a surprising degree of constancy in the rate of learning regardless of sequence length or embedded noise. Sequence learning appears to be constant with the logarithm of the number of sequence repetitions practiced during training. The consistency in learning rate across experiments and conditions implies that the mechanisms supporting implicit sequence learning are not capacity-constrained by very long sequences nor adversely affected by high rates of irrelevant sequences during training.
Laver, Shaorn; Croxon, Lyn
2015-09-01
Engaging nursing students in the complexities of care across community, acute, rehabilitation and residential aged care settings is challenging. Equally challenging is conceptualising and promoting diverse and comprehensive health assessments across care settings that reflect clinical reality, inform clinical decision making, traverse theory and practice, and transform clinical practice knowledge. This article describes the use of narrative and evolving case study as a teaching-learning tool utilised by the authors in a third year undergraduate gerontic nursing subject in a pre-service nursing degree at a rural university. Principles of transformative learning and strengths based nursing were drawn upon in the development of the case study. The aim of the approach was to draw on embedded knowledge and the experiences of students and academics from assorted practice settings to facilitate understanding of the lived experiences of an older community dwelling couple. Using social learning strategies students were encouraged to analyse and think critically and creatively about the situations they were presented with. They identified possible solutions that would be acceptable to the couple. Building on the older couple's strengths, achievements and personal social capital, the aim was to develop a positive paradigm for health and the way older people are viewed by nursing students. Copyright © 2015 Elsevier Ltd. All rights reserved.
MacLaren, David; Asugeni, James; Redman-MacLaren, Michelle
2015-12-01
To provide an example of one model of research capacity building for mental health from a remote setting in Solomon Islands. The Atoifi Health Research Group is building health research capacity with a health service on the remote east coast of Malaita, Solomon Islands. The group uses a 'learn-by-doing' approach embedded in health service and community-level health projects. The group is eclectic in nature and deliberately engages a variety of partners to discover culturally informed methods of collecting, analysing and disseminating research findings. Key successes of the Atoifi Health Research Group are: that it was initiated by Solomon Islanders with self-expressed desire to learn about research; the learn-by-doing model; inclusion of community people to inform questions and socio-cultural appropriateness; and commitment to ongoing support by international researchers. Given different social, cultural, economic, geographic, spiritual and service contexts across the Pacific, locally appropriate approaches need to be considered. Such approaches challenge the orthodox approach of centralized investment to replicate specialist driven approaches of funder nations. Increasing expertise at all levels through participatory capacity building models that define and address local problems may be more sustainable and responsive to local mental health contexts. © The Royal Australian and New Zealand College of Psychiatrists 2015.
ERIC Educational Resources Information Center
LaFleur, Elizabeth K.; Babin, Laurie A.; Lopez, Tara Burnthorne
2009-01-01
This article describes the process one marketing faculty followed to demonstrate assurance of learning for marketing students and presents longitudinal results associated with a course-embedded direct assessment device in the Principles of Marketing course. The process follows closely the Association to Advance Collegiate Schools of Business…
ERIC Educational Resources Information Center
Tong, Fuhui; Irby, Beverly J.; Lara-Alecio, Rafael; Koch, Janice
2014-01-01
The authors examined the impact of 2 subsequent, longitudinal interdisciplinary interventions for 58 Hispanic English language learners (ELLs): (a) Grade 5 science with English language/reading embedded (i.e., science intervention) and (b) K-3 English language/reading with science embedded (i.e., language/reading intervention). Results revealed…
ERIC Educational Resources Information Center
Shute, Valerie J.; Ventura, Matthew; Bauer, Malcolm; Zapata-Rivera, Diego
2008-01-01
To reveal what is being learned during the gaming experience, this report proposes an approach for embedding assessments in immersive games, drawing on recent advances in assessment design. Key to this approach are formative assessment to guide instructional experiences and evidence-centered design to systematically analyze the assessment argument…
Flipping the Classroom: Embedding Self-Regulated Learning Prompts in Videos
ERIC Educational Resources Information Center
Moos, Daniel C.; Bonde, Caitlin
2016-01-01
This study examined the effectiveness of embedding self-regulated learning (SRL) prompts in a video designed for the flipped class model. The sample included 32 undergraduate participants who were randomly assigned to one of two conditions: control (video) or experimental (video + SRL prompts). Prior knowledge was measured with a pre-test, SRL was…
ERIC Educational Resources Information Center
Benzie, Helen Joy; Pryce, Alison; Smith, Keith
2017-01-01
Embedding academic literacies in higher education courses has been a major focus of the work of learning advisers. A number of studies present the results of embedding in specific courses without discussing the processes of negotiation or the different people involved. This paper is about embedding academic literacies in the Business faculty as…
Video2vec Embeddings Recognize Events When Examples Are Scarce.
Habibian, Amirhossein; Mensink, Thomas; Snoek, Cees G M
2017-10-01
This paper aims for event recognition when video examples are scarce or even completely absent. The key in such a challenging setting is a semantic video representation. Rather than building the representation from individual attribute detectors and their annotations, we propose to learn the entire representation from freely available web videos and their descriptions using an embedding between video features and term vectors. In our proposed embedding, which we call Video2vec, the correlations between the words are utilized to learn a more effective representation by optimizing a joint objective balancing descriptiveness and predictability. We show how learning the Video2vec embedding using a multimodal predictability loss, including appearance, motion and audio features, results in a better predictable representation. We also propose an event specific variant of Video2vec to learn a more accurate representation for the words, which are indicative of the event, by introducing a term sensitive descriptiveness loss. Our experiments on three challenging collections of web videos from the NIST TRECVID Multimedia Event Detection and Columbia Consumer Videos datasets demonstrate: i) the advantages of Video2vec over representations using attributes or alternative embeddings, ii) the benefit of fusing video modalities by an embedding over common strategies, iii) the complementarity of term sensitive descriptiveness and multimodal predictability for event recognition. By its ability to improve predictability of present day audio-visual video features, while at the same time maximizing their semantic descriptiveness, Video2vec leads to state-of-the-art accuracy for both few- and zero-example recognition of events in video.
NASA Astrophysics Data System (ADS)
Rahman, A.; Sakurai, A.; Munadi, K.
2017-02-01
Knowledge accumulation and production embedded in communities through social interactions meant that the Smong tradition of indigenous knowledge of tsunami risk successfully alerted people to the 2004 tsunami, on the island of Simeulue, in Aceh, Indonesia. Based on this practical example, an indigenous management model was developed for Smong information. This knowledge management method involves the transformation of indigenous knowledge into applicable ways to increase community resilience, including making appropriate decisions and taking action in three disaster phases. First, in the pre-disaster stage, the community needs to be willing to mainstream and integrate indigenous knowledge of disaster risk reduction issues into related activities. Second, during disasters, the Smong tradition should make the community able to think clearly, act based on informed decisions, and protect themselves and others by using their indigenous knowledge. Last, in the post-disaster phase, the community needs to be strong enough to face challenges and support each other and “building back better” efforts, using local resources. The findings for the Smong tradition provide valuable knowledge about community resilience. Primary community resilience to disasters is strongly related to existing knowledge that triggers appropriate decisions and actions during pre-disaster, disaster, and post-disaster phases.
Production of Supra-regular Spatial Sequences by Macaque Monkeys.
Jiang, Xinjian; Long, Tenghai; Cao, Weicong; Li, Junru; Dehaene, Stanislas; Wang, Liping
2018-06-18
Understanding and producing embedded sequences in language, music, or mathematics, is a central characteristic of our species. These domains are hypothesized to involve a human-specific competence for supra-regular grammars, which can generate embedded sequences that go beyond the regular sequences engendered by finite-state automata. However, is this capacity truly unique to humans? Using a production task, we show that macaque monkeys can be trained to produce time-symmetrical embedded spatial sequences whose formal description requires supra-regular grammars or, equivalently, a push-down stack automaton. Monkeys spontaneously generalized the learned grammar to novel sequences, including longer ones, and could generate hierarchical sequences formed by an embedding of two levels of abstract rules. Compared to monkeys, however, preschool children learned the grammars much faster using a chunking strategy. While supra-regular grammars are accessible to nonhuman primates through extensive training, human uniqueness may lie in the speed and learning strategy with which they are acquired. Copyright © 2018 Elsevier Ltd. All rights reserved.
The impact of embedded support for underprepared students in a college chemistry course
NASA Astrophysics Data System (ADS)
Hesser, Tiffany L.
This quasi-experimental study examined the impact of embedded support on academic success for students requiring remediation in college chemistry. Additional support for underprepared students incorporated within a course is recommended by Connecticut's Public Act 12-40, An Act Concerning College Readiness and Completion. For this study, embedded support consisted of weekly instructional support sessions and introduced the concepts of metacognitive awareness and motivation in learning. Students' progression through the course was measured using a series of standardized questions. Metacognitive awareness and motivation levels were measure at the start and completion of the semester using the Metacognitive Awareness Inventory (MAI) and Motivated Student Learning Questionnaire (MSLQ). It was found that with embedded support, underprepared students performed academically at a level equivalent to that of their college-ready peers. Based on these results, this embedded support model as an evidence-based practice should be considered in class development or policies surrounding students identified as underprepared.
Learning builds on learning: Infants' use of native language sound patterns to learn words
Graf Estes, Katharine
2014-01-01
The present research investigated how infants apply prior knowledge of environmental regularities to support new learning. The experiments tested whether infants could exploit experience with native language (English) phonotactic patterns to facilitate associating sounds with meanings during word learning. Fourteen-month-olds heard fluent speech that contained cues for detecting target words; they were embedded in sequences that occur across word boundaries. A separate group heard the target words embedded without word boundary cues. Infants then participated in an object label-learning task. With the opportunity to use native language patterns to segment the target words, infants subsequently learned the labels. Without this experience, infants failed. Novice word learners can take advantage of early learning about sounds scaffold lexical development. PMID:24980741
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.
ERIC Educational Resources Information Center
Summey, Terri Pedersen; Kane, Cynthia Akers
2017-01-01
The concept of embedded librarians is a way for academic librarians to be intentionally and strategically inserted in the learning and teaching process through a variety of initiatives. In a mid-size university, in order to better address the research and curricular needs of students and faculty members, librarians became more intentional about…
Construction, implementation, and evaluation of an undergraduate biology laboratory teaching model
NASA Astrophysics Data System (ADS)
Tarrant, Todd M.
This dissertation documents a time series study in which an undergraduate non-majors biology laboratory was revised, leading to the development of a new teaching model. The course model was developed at a large Midwestern university enrolling about 827 students in 32 sections per semester and using graduate teaching assistants as primary instructors. The majority of the students consisted of freshman and sophomores, with the remainder being juniors and seniors. This dissertation explains the rationale leading to the development and implementation of this educational model using graduate teaching assistants as the primary course instructors and embedded course assessment as evidence of its success. The major components of this model include six major items including: learning community, course design, GTA professional development, course delivery, assessment, and the filter. The major aspects of this model include clear links between instruction, GTA professional development, embedded assessment (student and GTA), course revision, student perceptions, and performance. The model includes the following components: Formal and informal discourse in the learning community, teaching assistant professional development, the use of multiple assessment tools, a filter to guide course evaluation, and redirection and delivery of course content based on embedded formal course assessment. Teaching assistants receive both initial and ongoing professional development throughout the semester in effective instructional pedagogy from an instructor of record. Results for three years of operation show a significant increase in student biology content knowledge and the use of scientific process/critical thinking skills with mean improvement in student performance of 25.5% and 18.9% respectively. Mean attendance for ISB 208L is 95% for the six semesters of this study showing students regularly attend the laboratory classes and remain in the course with a completion rate of 93%. Additionally, grade point averages have remained high (mean of 3.3 for ISB 208L) while question cognitive level used on course assignments and tests has increased each semester while assignment weight has remained constant. Students indicate through SIRS data that the course is relevant to their lives, emphasizes understanding of ideas, concepts, and encourages students to think about the relationship between science and society. This study is significant in that it provides a description of a field tested working model for all aspects of a course that has large student enrollment, uses graduate teaching assistants as primary instructors, embedded course assessment, ongoing professional development, and general applicability in being transferable to other courses.
NASA Pathways Internship: Spring 2016
NASA Technical Reports Server (NTRS)
Alvarez, Oscar, III
2016-01-01
I was selected to contribute to the Data Systems and Handling Branch under the Avionics Flight Systems Division at the Lyndon B. Johnson Space Center in Houston, Texas. There I used my knowledge from school, as well as my job experience from the military, to help me comprehend my assigned project and contribute to it. With help from my mentors, supervisors, colleagues, and an excellent NASA work environment, I was able to learn, as well as accomplish, a lot towards my project. Not only did I understand more about embedded systems, microcontrollers, and low-level programming, I also was given the opportunity to explore the NASA community.
PCMHs, ACOs, and medication management: lessons learned from early research partnerships.
Schnur, Evan S; Adams, Alex J; Klepser, Donald G; Doucette, William R; Scott, David M
2014-02-01
The Patient Protection and Affordable Care Act has greatly accelerated the formation of team-based models of care delivery, primarily accountable care organizations (ACOs) and patient-centered medical homes (PCMHs). Many have written about the need to incorporate medication management services into these systems in order to improve care and reduce total health care costs. Two primary ways of doing so have emerged: (1) an embedded model, whereby pharmacists are employed directly by a physician practice, or (2) a "virtual care team" model, whereby a PCMH or ACO develops an arrangement with external pharmacists in community settings to provide coordinated services.
Min, Xu; Zeng, Wanwen; Chen, Ning; Chen, Ting; Jiang, Rui
2017-07-15
Experimental techniques for measuring chromatin accessibility are expensive and time consuming, appealing for the development of computational approaches to predict open chromatin regions from DNA sequences. Along this direction, existing methods fall into two classes: one based on handcrafted k -mer features and the other based on convolutional neural networks. Although both categories have shown good performance in specific applications thus far, there still lacks a comprehensive framework to integrate useful k -mer co-occurrence information with recent advances in deep learning. We fill this gap by addressing the problem of chromatin accessibility prediction with a convolutional Long Short-Term Memory (LSTM) network with k -mer embedding. We first split DNA sequences into k -mers and pre-train k -mer embedding vectors based on the co-occurrence matrix of k -mers by using an unsupervised representation learning approach. We then construct a supervised deep learning architecture comprised of an embedding layer, three convolutional layers and a Bidirectional LSTM (BLSTM) layer for feature learning and classification. We demonstrate that our method gains high-quality fixed-length features from variable-length sequences and consistently outperforms baseline methods. We show that k -mer embedding can effectively enhance model performance by exploring different embedding strategies. We also prove the efficacy of both the convolution and the BLSTM layers by comparing two variations of the network architecture. We confirm the robustness of our model to hyper-parameters by performing sensitivity analysis. We hope our method can eventually reinforce our understanding of employing deep learning in genomic studies and shed light on research regarding mechanisms of chromatin accessibility. The source code can be downloaded from https://github.com/minxueric/ismb2017_lstm . tingchen@tsinghua.edu.cn or ruijiang@tsinghua.edu.cn. Supplementary materials are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com
Min, Xu; Zeng, Wanwen; Chen, Ning; Chen, Ting; Jiang, Rui
2017-01-01
Abstract Motivation: Experimental techniques for measuring chromatin accessibility are expensive and time consuming, appealing for the development of computational approaches to predict open chromatin regions from DNA sequences. Along this direction, existing methods fall into two classes: one based on handcrafted k-mer features and the other based on convolutional neural networks. Although both categories have shown good performance in specific applications thus far, there still lacks a comprehensive framework to integrate useful k-mer co-occurrence information with recent advances in deep learning. Results: We fill this gap by addressing the problem of chromatin accessibility prediction with a convolutional Long Short-Term Memory (LSTM) network with k-mer embedding. We first split DNA sequences into k-mers and pre-train k-mer embedding vectors based on the co-occurrence matrix of k-mers by using an unsupervised representation learning approach. We then construct a supervised deep learning architecture comprised of an embedding layer, three convolutional layers and a Bidirectional LSTM (BLSTM) layer for feature learning and classification. We demonstrate that our method gains high-quality fixed-length features from variable-length sequences and consistently outperforms baseline methods. We show that k-mer embedding can effectively enhance model performance by exploring different embedding strategies. We also prove the efficacy of both the convolution and the BLSTM layers by comparing two variations of the network architecture. We confirm the robustness of our model to hyper-parameters by performing sensitivity analysis. We hope our method can eventually reinforce our understanding of employing deep learning in genomic studies and shed light on research regarding mechanisms of chromatin accessibility. Availability and implementation: The source code can be downloaded from https://github.com/minxueric/ismb2017_lstm. Contact: tingchen@tsinghua.edu.cn or ruijiang@tsinghua.edu.cn Supplementary information: Supplementary materials are available at Bioinformatics online. PMID:28881969
ERIC Educational Resources Information Center
Coltrain, Mark
2014-01-01
In an era of exploding online enrollment and tight budgets, Central Piedmont Community College (CPCC) struggles to meet the needs of online students. CPCC librarians went one step towards solving that problem in 2009-2010 by launching an embedded librarian program. CPCC's program became so successful that it struggled to meet demand. In 2013, CPCC…
ERIC Educational Resources Information Center
Nicholls, Emma; Walsh, Margaret
2007-01-01
Purpose: This case study aims to provide a critical evaluation of the decision by the University of Wolverhampton's School of Legal Studies to develop a number of work-based learning modules, offered as part of the undergraduate programme. It seeks to examine why the School has taken the approach of embedding work-based learning into what has…
The Organization of Informal Learning
ERIC Educational Resources Information Center
Rogoff, Barbara; Callanan, Maureen; Gutiérrez, Kris D.; Erickson, Frederick
2016-01-01
Informal learning is often treated as simply an alternative to formal, didactic instruction. This chapter discusses how the organization of informal learning differs across distinct settings but with important commonalities distinguishing informal learning from formal learning: Informal learning is nondidactic, is embedded in meaningful activity,…
Learning Embedded Software Design in an Open 3A Multiuser Laboratory
ERIC Educational Resources Information Center
Shih, Chien-Chou; Hwang, Lain-Jinn
2011-01-01
The need for professional programmers in embedded applications has become critical for industry growth. This need has increased the popularity of embedded software design courses, which are resource-intensive and space-limited in traditional real lab-based instruction. To overcome geographic and time barriers in enhancing practical skills that…
Kiteley, Robin J; Ormrod, Graham
2009-08-01
E-learning approaches are incorporated in many undergraduate nursing programmes but there is evidence to suggest that these are often piecemeal and have little impact on the wider, nurse education curriculum. This is consistent with a broader view of e-learning within the higher education (HE) sector, which suggests that higher education institutions (HEIs) are struggling to make e-learning a part of their mainstream delivery [HEFCE, 2005. HEFCE Strategy for E-Learning 2005/12. Bristol, UK, Higher Education Funding Council for England (HEFCE). [online] Available at:
Realization of Chinese word segmentation based on deep learning method
NASA Astrophysics Data System (ADS)
Wang, Xuefei; Wang, Mingjiang; Zhang, Qiquan
2017-08-01
In recent years, with the rapid development of deep learning, it has been widely used in the field of natural language processing. In this paper, I use the method of deep learning to achieve Chinese word segmentation, with large-scale corpus, eliminating the need to construct additional manual characteristics. In the process of Chinese word segmentation, the first step is to deal with the corpus, use word2vec to get word embedding of the corpus, each character is 50. After the word is embedded, the word embedding feature is fed to the bidirectional LSTM, add a linear layer to the hidden layer of the output, and then add a CRF to get the model implemented in this paper. Experimental results show that the method used in the 2014 People's Daily corpus to achieve a satisfactory accuracy.
Raleigh, Mary; Allan, Helen
2017-07-01
To explore multiple perspectives on the use of physical assessment skills by advanced nurse practitioners in the UK. Physical assessment skills practices are embedded in advanced nursing practice roles in the UK. There is little evidence on how these skills are used by advanced nurse practitioners in the community. Case study. A qualitative interpretative single-embedded case study of 22 participants from South of England. A framework method analysed interview data collected by the researcher between March-August 2013. Participants included nurses, doctors, nurse educators and managers. Physical assessment skills education at universities is part of a policy shift to develop a flexible workforce in the UK. Shared physical assessment practices are less to do with role substitution and more about preparing practitioners with skills that are fit for purpose. Competence, capability and performance with physical assessment skills are an expectation of advanced nursing practice. These skills are used successfully by community advanced nurse practitioners to deliver a wide range of services in response to changing patient need. The introduction of physical assessment skills education to undergraduate professional preparation would create a firm foundation to develop these skills in postgraduate education. Physical assessment education prepares nurses with the clinical competencies to carry out healthcare reforms in the UK. Shared sets of clinical assessment competencies between disciplines have better outcomes for patients. Levels of assessment competence can depend on the professional attributes of individual practitioners. Unsupportive learning cultures can hinder professional development of advanced nursing practice. © 2016 John Wiley & Sons Ltd.
ERIC Educational Resources Information Center
Zumalt, Caitlin J.; Williamson, Vickie M.
2016-01-01
Students in a first-semester general chemistry course at a large southwestern university completed a 3-week homework assignment using MindTap, a Cengage Learning product. MindTap is the first major electronic system that has homework questions embedded in the text, such that students read a short section of the textbook and then answer a question…
Prediction of enhancer-promoter interactions via natural language processing.
Zeng, Wanwen; Wu, Mengmeng; Jiang, Rui
2018-05-09
Precise identification of three-dimensional genome organization, especially enhancer-promoter interactions (EPIs), is important to deciphering gene regulation, cell differentiation and disease mechanisms. Currently, it is a challenging task to distinguish true interactions from other nearby non-interacting ones since the power of traditional experimental methods is limited due to low resolution or low throughput. We propose a novel computational framework EP2vec to assay three-dimensional genomic interactions. We first extract sequence embedding features, defined as fixed-length vector representations learned from variable-length sequences using an unsupervised deep learning method in natural language processing. Then, we train a classifier to predict EPIs using the learned representations in supervised way. Experimental results demonstrate that EP2vec obtains F1 scores ranging from 0.841~ 0.933 on different datasets, which outperforms existing methods. We prove the robustness of sequence embedding features by carrying out sensitivity analysis. Besides, we identify motifs that represent cell line-specific information through analysis of the learned sequence embedding features by adopting attention mechanism. Last, we show that even superior performance with F1 scores 0.889~ 0.940 can be achieved by combining sequence embedding features and experimental features. EP2vec sheds light on feature extraction for DNA sequences of arbitrary lengths and provides a powerful approach for EPIs identification.
The 3 R's of Learning Time: Rethink, Reshape, Reclaim
ERIC Educational Resources Information Center
Sackey, Shera Carter
2012-01-01
The Learning School Alliance is a network of schools collaborating about professional practice. The network embodies Learning Forward's purpose to advance effective job-embedded professional learning that leads to student outcomes. A key component of Learning Forward's Standards for Professional Learning is a focus on collaborative learning,…
Learning Lunar Science Through the Selene Videogame
NASA Astrophysics Data System (ADS)
Reese, D. D.; Wood, C. A.
2010-03-01
Selene is a videogame to promote and assess learning of lunar science concepts. As players build and modify a Moon, Selene measures learning as it occurs. Selene is a model for 21st century learning and embedded assessment.
Ellaway, Rachel; Pettigrew, Graham; Rhind, Susan; Dewhurst, David
2005-01-01
The Edinburgh Electronic Veterinary Curriculum (EEVeC) is a purpose-built virtual learning support environment for the veterinary medicine program at the University of Edinburgh. It is Web based and adapted from a system developed for the human medical curriculum. It is built around a set of databases and learning objects and incorporates features such as course materials, personalized timetables, staff and student contact pages, a notice board, and discussion forums. The EEVeC also contains global or generic resources such as information on quality enhancement and research options. Many of these features contribute to the aim of building a learning community, but a challenge has been to introduce specific features that enhance student learning. One of these is a searchable lecture database in which learning activities such as quizzes and computer-aided learning exercises (CALs) can be embedded to supplement a synopsis of the lecture and address the key needs of integration and reinforcement of learning. Statistics of use indicate extensive student activity during evenings and weekends, with a pattern of increased usage over the years as more features become available and staff and students progressively engage with the system. An essential feature of EEVeC is its flexibility and the way in which it is evolving to meet the changing needs of the teaching program.
Scaling Climate Change Communication for Behavior Change
NASA Astrophysics Data System (ADS)
Rodriguez, V. C.; Lappé, M.; Flora, J. A.; Ardoin, N. M.; Robinson, T. N.
2014-12-01
Ultimately, effective climate change communication results in a change in behavior, whether the change is individual, household or collective actions within communities. We describe two efforts to promote climate-friendly behavior via climate communication and behavior change theory. Importantly these efforts are designed to scale climate communication principles focused on behavior change rather than soley emphasizing climate knowledge or attitudes. Both cases are embedded in rigorous evaluations (randomized controlled trial and quasi-experimental) of primary and secondary outcomes as well as supplementary analyses that have implications for program refinement and program scaling. In the first case, the Girl Scouts "Girls Learning Environment and Energy" (GLEE) trial is scaling the program via a Massive Open Online Course (MOOC) for Troop Leaders to teach the effective home electricity and food and transportation energy reduction programs. The second case, the Alliance for Climate Education (ACE) Assembly Program, is advancing the already-scaled assembly program by using communication principles to further engage youth and their families and communities (school and local communities) in individual and collective actions. Scaling of each program uses online learning platforms, social media and "behavior practice" videos, mastery practice exercises, virtual feedback and virtual social engagement to advance climate-friendly behavior change. All of these communication practices aim to simulate and advance in-person train-the-trainers technologies.As part of this presentation we outline scaling principles derived from these two climate change communication and behavior change programs.
NASA Astrophysics Data System (ADS)
Zumalt, Caitlin J.; Williamson, Vickie M.
2016-10-01
Students in a first-semester general chemistry course at a large southwestern university completed a 3-week homework assignment using MindTap, a Cengage Learning product. MindTap is the first major electronic system that has homework questions embedded in the text, such that students read a short section of the textbook and then answer a question set. Prior to MindTap, electronic homework systems were stand-alone or contained questions with links to the textbook. Next, students completed two 2-week homework assignments in Online Web Learning (OWL) version 1 also from Cengage Learning. The OWL system shows homework questions with a link to the textbook in a separate window. Both the MindTap and OWL systems contain the same or similar questions. After the students used both homework systems, a survey was given that included Likert-scaled and open-response questions that dealt with students' perceived level of understanding using the different systems, how easy the systems were to use, and the advantages/disadvantages of each system. A delayed survey was given at the end of the second semester of general chemistry, during which students had used OWL for the complete semester. This paper investigates the effects of the arrangement (embedded vs. linked) on student preferences and perceived learning in this pilot study with a 300-person class. Based on the results of the study, it was found that students perceived that they learn more with MindTap and prefer the embedded text in MindTap over the linked text in OWL.
Pervasive Knowledge, Social Networks, and Cloud Computing: E-Learning 2.0
ERIC Educational Resources Information Center
Anshari, Muhammad; Alas, Yabit; Guan, Lim Sei
2015-01-01
Embedding Web 2.0 in learning processes has extended learning from traditional based learning-centred to a collaborative based learning-centred institution that emphasises learning anywhere and anytime. While deploying Semantic Web into e-learning offers a broader spectrum of pervasive knowledge acquisition to enrich users' experience in learning.…
Viewing Mobile Learning from a Pedagogical Perspective
ERIC Educational Resources Information Center
Kearney, Matthew; Schuck, Sandra; Burden, Kevin; Aubusson, Peter
2012-01-01
Mobile learning is a relatively new phenomenon and the theoretical basis is currently under development. The paper presents a pedagogical perspective of mobile learning which highlights three central features of mobile learning: authenticity, collaboration and personalisation, embedded in the unique timespace contexts of mobile learning. A…
NASA Astrophysics Data System (ADS)
Yoo, Suhyun
The purpose of this study was to explore how to enhance students' critical thinking in an introductory undergraduate science course. As a design experiment, this study aimed to design, develop, implement, and refine learning activities, and investigate how the learning activities worked in fostering students' critical thinking in a large size classroom context. In this study, critical thinking in science was framed with six categories, 1) identifying decisions, 2) evaluating decisions, 3) providing own decision, 4) argument and justification for own decision, 5) presenting supporting data/evidence, and 6) integrating other perspectives, as the result of literature review. To enhance critical thinking, three design principles, 1) authentic task, 2) question prompts, and 3) peer interaction, were associated with the learning activities for two consecutive years. The research context was within a large general science course and the learning activities for a module were designed, implemented and refined for two years. Specially, changes in design strategies were made in the two design principles, question prompts and peer interaction, after the 1st implementation. With regard to the use of question prompts, the students of the 2nd year were provided with procedural and elaborative question prompts, while those of the 1st year only received procedural question prompts embedded in the Group and Community Discussion Charts. Second, instead of being engaged six times in two types of discussions, group and community discussions, the students of the 2nd year were required to take part in a community discussion twice and to prepare for the discussion by learning about and understanding important aspects of dealing with the hurricane situation. For individual preparation, elaborative question prompts were embedded in the Individual Worksheet. Quantitative and qualitative research methods were taken to investigate how the two different designs of the 1st and 2nd years worked for enhancing critical thinking in a large-size classroom. Data came from the students' written documents during and after the learning activities. The result from the descriptive and comparative analysis on the written documents for two years indicated that there were changes in patterns of reasoning between the two years. It was evident that the groups engaged in decision-making for communities of the 2nd year showed more concrete and shaped reasoning than those of the 1st year. The result of the t-test indicated that there was a significant difference in critical thinking demonstrated in individual reports between the students of the 1st and the 2nd years. The students of the 2nd year demonstrated better levels of critical thinking than those of the 1st year. Specially, among the six categories of critical thinking, the students of the 2nd year demonstrated better levels in three categories, 1) providing one's own decision, 2) argumentation and justification for one's own decision, and 3) integrating other perspectives, than those of the 1st year. By the multiple-case study method, four themes were found to explain what made students demonstrated higher levels of critical thinking: 1) understanding of one's assigned role, 2) linking roles to make decisions, 3) answers to the question prompts, and 4) use of data and source, were raised in explaining the different pattern between the students with higher and lower levels of critical thinking. Also, a trend was visible across artifacts for higher performing students in both years.
Dusty Relic to Shining Treasure: Embedded in a Multicultural Environment
ERIC Educational Resources Information Center
Avery, Beth Fuseler; Batman, Cindy
2014-01-01
Far from being dusty old relics who are guardians of the book, embedded librarians need to be proactively leading students through the digital maze of the virtual library. Working with students more than 7,000 miles away changed perceptions of how to teach and learn, and how people interact online. We will share how as embedded librarians we…
ERIC Educational Resources Information Center
Timms, Mike
2014-01-01
In his commentary on "How Task Features Impact Evidence from Assessments Embedded in Simulations and Games" by Almond et al., Mike Timms writes that his own research has involved the use of embedded assessments using simulations in interactive learning environments, and the Evidence Centered Design (ECD) approach has provided a solid…
Virtual rounds: simulation-based education in procedural medicine
NASA Astrophysics Data System (ADS)
Shaffer, David W.; Meglan, Dwight A.; Ferrell, Margaret; Dawson, Steven L.
1999-07-01
Computer-based simulation is a goal for training physicians in specialties where traditional training puts patients at risk. Intuitively, interactive simulation of anatomy, pathology, and therapeutic actions should lead to shortening of the learning curve for novice or inexperienced physicians. Effective transfer of knowledge acquired in simulators must be shown for such devices to be widely accepted in the medical community. We have developed an Interventional Cardiology Training Simulator which incorporates real-time graphic interactivity coupled with haptic response, and an embedded curriculum permitting rehearsal, hypertext links, personal archiving and instructor review and testing capabilities. This linking of purely technical simulation with educational content creates a more robust educational purpose for procedural simulators.
Automation and workflow considerations for embedding Digimarc Barcodes at scale
NASA Astrophysics Data System (ADS)
Rodriguez, Tony; Haaga, Don; Calhoon, Sean
2015-03-01
The Digimarc® Barcode is a digital watermark applied to packages and variable data labels that carries GS1 standard GTIN-14 data traditionally carried by a 1-D barcode. The Digimarc Barcode can be read with smartphones and imaging-based barcode readers commonly used in grocery and retail environments. Using smartphones, consumers can engage with products and retailers can materially increase the speed of check-out, increasing store margins and providing a better experience for shoppers. Internal testing has shown an average of 53% increase in scanning throughput, enabling 100's of millions of dollars in cost savings [1] for retailers when deployed at scale. To get to scale, the process of embedding a digital watermark must be automated and integrated within existing workflows. Creating the tools and processes to do so represents a new challenge for the watermarking community. This paper presents a description and an analysis of the workflow implemented by Digimarc to deploy the Digimarc Barcode at scale. An overview of the tools created and lessons learned during the introduction of technology to the market are provided.
Tensor Train Neighborhood Preserving Embedding
NASA Astrophysics Data System (ADS)
Wang, Wenqi; Aggarwal, Vaneet; Aeron, Shuchin
2018-05-01
In this paper, we propose a Tensor Train Neighborhood Preserving Embedding (TTNPE) to embed multi-dimensional tensor data into low dimensional tensor subspace. Novel approaches to solve the optimization problem in TTNPE are proposed. For this embedding, we evaluate novel trade-off gain among classification, computation, and dimensionality reduction (storage) for supervised learning. It is shown that compared to the state-of-the-arts tensor embedding methods, TTNPE achieves superior trade-off in classification, computation, and dimensionality reduction in MNIST handwritten digits and Weizmann face datasets.
Selene: A Videogame for Learning about the Moon
NASA Astrophysics Data System (ADS)
Wood, C. A.; Reese, D. D.
2008-06-01
The Selene game-based, metaphor-enhanced (GaME) learning object prepares players with concrete knowledge of basic lunar geology processes. Selene is embedded within an online research environment studying learning and assessment within videogames.
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.
Embedding Engaged Learning in High Enrollment Lecture-Based Classes
ERIC Educational Resources Information Center
Lund Dean, Kathy; Wright, Sarah
2017-01-01
Engaged learning opportunities have become powerful foundations upon which students build lifelong skills and organizational capacities. Research has empirically validated the long-term positive learning impacts of active and experiential learning opportunities for students. As such, institutional administrators and external stakeholders have…
Professional Learning through Everyday Work: How Finance Professionals Self-Regulate Their Learning
ERIC Educational Resources Information Center
Littlejohn, Allison; Milligan, Colin; Fontana, Rosa Pia; Margaryan, Anoush
2016-01-01
Professional learning is a critical component of ongoing improvement and innovation and the adoption of new practices in the workplace. Professional learning is often achieved through learning embedded in everyday work tasks. However, little is known about how professionals self-regulate their learning through regular work activities. This paper…
Assessing Learning in Service-Learning Courses through Critical Reflection
ERIC Educational Resources Information Center
Molee, Lenore M.; Henry, Mary E.; Sessa, Valerie I.; McKinney-Prupis, Erin R.
2010-01-01
The purpose of this study was to describe and examine a model for assessing student learning through reflection in service-learning courses. This model utilized a course-embedded process to frame, facilitate, support, and assess students' depth of learning and critical thinking. Student reflection products in two service-learning courses (a…
Using Community Mapping in Human Ecology
ERIC Educational Resources Information Center
Robinson, Chery M.; Vineyard, Michelle L.; Reagor, Jane D.
2004-01-01
Community asset mapping is one approach to community assessment. According to Kretzmann and McKnight (1993), discovering the assets, capacities, and resources embedded in a community leads people to take responsibility for and ownership of rebuilding and renewing their community. Community mapping is a tool for consideration by family and consumer…
ERIC Educational Resources Information Center
DeLoach, Regina M.
2011-01-01
The purpose of this "post hoc," summative evaluation was to evaluate the effectiveness of classroom-embedded, individualistic, computer-based learning for middle school students placed at academic risk in schools with a high proportion of Title I eligible students. Data were mined from existing school district databases. For data (n = 393)…
Analyzing a Service-Learning Experience Using a Social Justice Lens
ERIC Educational Resources Information Center
Tinkler, Barri; Hannah, C. Lynne; Tinkler, Alan; Miller, Elizabeth
2014-01-01
This mixed methods study explores a service-learning experience embedded in a social foundations course in a teacher education program. The authors differentiate learning outcomes for social justice and charity service-learning, and utilize this framework to examine whether the service-learning experience fosters a social justice perspective. The…
Workplace Learning in Informal Networks
ERIC Educational Resources Information Center
Milligan, Colin; Littlejohn, Allison; Margaryan, Anoush
2014-01-01
Learning does not stop when an individual leaves formal education, but becomes increasingly informal, and deeply embedded within other activities such as work. This article describes the challenges of informal learning in knowledge intensive industries, highlighting the important role of personal learning networks. The article argues that…
Empirical Linkages between Firm Competencies and Organisational Learning.
ERIC Educational Resources Information Center
Murray, Peter; Donegan, Kevin
2003-01-01
Management, operational, technology, and learning competencies in 26 large and 15 small Australian construction contractors were identified at five levels: simplistic, structure, efficiency, value, and dynamic. Organizational learning appeared useful when combined with competency development embedded in the routines of a learning culture.…
Pacific CRYSTAL Project: Explicit Literacy Instruction Embedded in Middle School Science Classrooms
NASA Astrophysics Data System (ADS)
Anthony, Robert J.; Tippett, Christine D.; Yore, Larry D.
2010-01-01
Science literacy leading to fuller and informed participation in the public debate about science, technology, society, and environmental (STSE) issues that produce justified decisions and sustainable actions is the shared and central goal of the Pacific CRYSTAL Project. There is broad agreement by science education researchers that learners need to be able to construct and interpret specific scientific discourses and texts to be literate in science. We view these capabilities as components in the fundamental sense of science literacy and as interactive and synergetic to the derived sense of science literacy, which refers to having general knowledge about concepts, principles, and methods of science. This article reports on preliminary findings from Years 1, 2, and 3 of the 5-year Pacific CRYSTAL project that aims to identify, develop, and embed explicit literacy instruction in science programs to achieve both senses of science literacy. A community-based, opportunistic, engineering research and development approach has been utilized to identify problems and concerns and to design instructional solutions for teaching middle school (Grades 6, 7, and 8) science. Initial data indicate (a) opportunities in programs for embedding literacy instruction and tasks; (b) difficulties generalist teachers have with new science curricula; (c) difficulties specialist science teachers have with literacy activities, strategies, genre, and writing-to-learn science tasks; and (d) potential literacy activities (vocabulary, reading comprehension, visual literacy, genre, and writing tasks) for middle school science. Preinstruction student assessments indicate a range of challenges in achieving effective learning in science and the need for extensive teacher support to achieve the project’s goals. Postinstructional assessments indicate positive changes in students’ ability to perform target reading and writing tasks. Qualitative data indicate teachers’ desire for external direction and the need for researchers to expand the literacy framework to include oral discourse. A case study of teachers’ use of a specific literacy task and its influence on students revealed indications of robustness and effectiveness. Experiences revealed procedural difficulties and insights regarding community-based research and development approaches.
Big Data Clustering via Community Detection and Hyperbolic Network Embedding in IoT Applications.
Karyotis, Vasileios; Tsitseklis, Konstantinos; Sotiropoulos, Konstantinos; Papavassiliou, Symeon
2018-04-15
In this paper, we present a novel data clustering framework for big sensory data produced by IoT applications. Based on a network representation of the relations among multi-dimensional data, data clustering is mapped to node clustering over the produced data graphs. To address the potential very large scale of such datasets/graphs that test the limits of state-of-the-art approaches, we map the problem of data clustering to a community detection one over the corresponding data graphs. Specifically, we propose a novel computational approach for enhancing the traditional Girvan-Newman (GN) community detection algorithm via hyperbolic network embedding. The data dependency graph is embedded in the hyperbolic space via Rigel embedding, allowing more efficient computation of edge-betweenness centrality needed in the GN algorithm. This allows for more efficient clustering of the nodes of the data graph in terms of modularity, without sacrificing considerable accuracy. In order to study the operation of our approach with respect to enhancing GN community detection, we employ various representative types of artificial complex networks, such as scale-free, small-world and random geometric topologies, and frequently-employed benchmark datasets for demonstrating its efficacy in terms of data clustering via community detection. Furthermore, we provide a proof-of-concept evaluation by applying the proposed framework over multi-dimensional datasets obtained from an operational smart-city/building IoT infrastructure provided by the Federated Interoperable Semantic IoT/cloud Testbeds and Applications (FIESTA-IoT) testbed federation. It is shown that the proposed framework can be indeed used for community detection/data clustering and exploited in various other IoT applications, such as performing more energy-efficient smart-city/building sensing.
Big Data Clustering via Community Detection and Hyperbolic Network Embedding in IoT Applications
Sotiropoulos, Konstantinos
2018-01-01
In this paper, we present a novel data clustering framework for big sensory data produced by IoT applications. Based on a network representation of the relations among multi-dimensional data, data clustering is mapped to node clustering over the produced data graphs. To address the potential very large scale of such datasets/graphs that test the limits of state-of-the-art approaches, we map the problem of data clustering to a community detection one over the corresponding data graphs. Specifically, we propose a novel computational approach for enhancing the traditional Girvan–Newman (GN) community detection algorithm via hyperbolic network embedding. The data dependency graph is embedded in the hyperbolic space via Rigel embedding, allowing more efficient computation of edge-betweenness centrality needed in the GN algorithm. This allows for more efficient clustering of the nodes of the data graph in terms of modularity, without sacrificing considerable accuracy. In order to study the operation of our approach with respect to enhancing GN community detection, we employ various representative types of artificial complex networks, such as scale-free, small-world and random geometric topologies, and frequently-employed benchmark datasets for demonstrating its efficacy in terms of data clustering via community detection. Furthermore, we provide a proof-of-concept evaluation by applying the proposed framework over multi-dimensional datasets obtained from an operational smart-city/building IoT infrastructure provided by the Federated Interoperable Semantic IoT/cloud Testbeds and Applications (FIESTA-IoT) testbed federation. It is shown that the proposed framework can be indeed used for community detection/data clustering and exploited in various other IoT applications, such as performing more energy-efficient smart-city/building sensing. PMID:29662043
Applying an AR Technique to Enhance Situated Heritage Learning in a Ubiquitous Learning Environment
ERIC Educational Resources Information Center
Chang, Yi Hsing; Liu, Jen-ch'iang
2013-01-01
Since AR can display 3D materials and learner motivation is enhanced in a situated learning environment, this study explores the learning effectiveness of learners when combining AR technology and the situation learning theory. Based on the concept of embedding the characteristics of augmented reality and situated learning into a real situation to…
Bystander Education: Bringing a Broader Community Perspective to Sexual Violence Prevention
ERIC Educational Resources Information Center
Banyard, Victoria L.; Plante, Elizabethe G.; Moynihan, Mary M.
2004-01-01
Recent research documents the problem of sexual violence across communities, often finding its causes to be embedded in community and cultural norms, thus demonstrating the need for community-focused solutions. In this article we synthesize research from community psychology on community change and prevention with more individually focused studies…
Defending the Ivory Tower: Toward Critical Community Engagement
ERIC Educational Resources Information Center
Bowker, Matthew H.
2012-01-01
The ideal of community engagement suggests that both a student's career and his college's mission are (or ought to be) inextricable from the community in which they are embedded. That students, faculty, and academic institutions should serve community purposes, actively engage in community affairs, and network themselves in real and virtual…
Facilitating Service Learning in the Online Technical Communication Classroom
ERIC Educational Resources Information Center
Nielsen, Danielle
2016-01-01
Drawing from the author's experience teaching online technical communication courses with an embedded service-learning component, this essay opens the discussion to the potential problems involved in designing online service-learning courses and provides practical approaches to integrating service learning into online coursework. The essay…
E-Learning in a Competitive Firm Setting
ERIC Educational Resources Information Center
Olafsen, Runar Normark; Cetindamar, Dilek
2005-01-01
This paper explores the use of e-learning technologies for organisational learning within a commercial environment. A model has been developed to represent those factors that determine organisational learning. This model has been embedded within a case study based on the use of an e-learning program that was developed in order to enhance…
Learning How They Learn: A Review of the Literature on Learning Styles.
ERIC Educational Resources Information Center
Wilson, Vicki A.
The literature on learning styles is full of unresolved issues, both theoretical and practical. Early research into learning styles includes that of H. A. Witkin, who developed the Embedded Figures Test in the late 1960s. This test determines the "field dependence" or "field independence" of individuals, marking their global…
Unfree markets: socially embedded informal health providers in northern Karnataka, India.
George, Asha; Iyer, Aditi
2013-11-01
The dynamics of informal health markets in marginalised regions are relevant to policy discourse in India, but are poorly understood. We examine how informal health markets operate from the viewpoint of informal providers (those without any government-recognised medical degrees, otherwise known as RMPs) by drawing upon data from a household survey in 2002, a provider census in 2004 and ongoing field observations from a research site in Koppal district, Karnataka, India. We find that despite their illegality, RMPs depend on government and private providers for their training and referral networks. Buffeted by unregulated market pressures, RMPs are driven to provide allopathic commodities regardless of need, but can also be circumspect in their practice. Though motivated by profit, their socially embedded practice at community level at times undermines their ability to ensure payment of fees for their services. In addition, RMPs feel that communities can threaten them via violence or malicious rumours, leading them to seek political favour and social protection from village elites and elected representatives. RMPs operate within negotiated quid pro quo bargains that lead to tenuous reciprocity or fragile trust between them and the communities in which they practise. In the context of this 'unfree' market, some RMPs reported being more embedded in health systems, more responsive to communities and more vulnerable to unregulated market pressures than others. Understanding the heterogeneity, nuanced motivations and the embedded social relations that mark informal providers in the health systems, markets and communities they work in, is critical for health system reforms. Copyright © 2013 Elsevier Ltd. All rights reserved.
Brand communities embedded in social networks.
Zaglia, Melanie E
2013-02-01
Brand communities represent highly valuable marketing, innovation management, and customer relationship management tools. However, applying successful marketing strategies today, and in the future, also means exploring and seizing the unprecedented opportunities of social network environments. This study combines these two social phenomena which have largely been researched separately, and aims to investigate the existence, functionality and different types of brand communities within social networks. The netnographic approach yields strong evidence of this existence; leading to a better understanding of such embedded brand communities, their peculiarities, and motivational drivers for participation; therefore the findings contribute to theory by combining two separate research streams. Due to the advantages of social networks, brand management is now able to implement brand communities with less time and financial effort; however, choosing the appropriate brand community type, cultivating consumers' interaction, and staying tuned to this social engagement are critical factors to gain anticipated brand outcomes.
Brand communities embedded in social networks☆
Zaglia, Melanie E.
2013-01-01
Brand communities represent highly valuable marketing, innovation management, and customer relationship management tools. However, applying successful marketing strategies today, and in the future, also means exploring and seizing the unprecedented opportunities of social network environments. This study combines these two social phenomena which have largely been researched separately, and aims to investigate the existence, functionality and different types of brand communities within social networks. The netnographic approach yields strong evidence of this existence; leading to a better understanding of such embedded brand communities, their peculiarities, and motivational drivers for participation; therefore the findings contribute to theory by combining two separate research streams. Due to the advantages of social networks, brand management is now able to implement brand communities with less time and financial effort; however, choosing the appropriate brand community type, cultivating consumers’ interaction, and staying tuned to this social engagement are critical factors to gain anticipated brand outcomes. PMID:23564989
Indigenous Knowledge and Sea Ice Science: What Can We Learn from Indigenous Ice Users?
NASA Astrophysics Data System (ADS)
Eicken, H.
2010-12-01
Drawing on examples mostly from Iñupiaq and Yup’ik sea-ice expertise in coastal Alaska, this contribution examines how local, indigenous knowledge (LIK) can inform and guide geophysical and biological sea-ice research. Part of the relevance of LIK derives from its linkage to sea-ice use and the services coastal communities derive from the ice cover. As a result, indigenous experts keep track of a broad range of sea-ice variables at a particular location. These observations are embedded into a broader worldview that speaks to both long-term variability or change and to the system of values associated with ice use. The contribution examines eight different contexts in which LIK in study site selection and assessment of a sampling campaign in the context of inter annual variability, the identification of rare or inconspicuous phenomena or events, the contribution by indigenous experts to hazard assessment and emergency response, the record of past and present climate embedded in LIK, and the value of holistic sea-ice knowledge in detecting subtle, intertwined patterns of environmental change. The relevance of local, indigenous sea-ice expertise in helping advance adaptation and responses to climate change as well as its potential role in guiding research questions and hypotheses are also examined. The challenges that may have to be overcome in creating an interface for exchange between indigenous experts and seaice researchers are considered. Promising approaches to overcome these challenges include cross-cultural, interdisciplinary education, and the fostering of Communities of Practice.
Robot education peers in a situated primary school study: Personalisation promotes child learning.
Baxter, Paul; Ashurst, Emily; Read, Robin; Kennedy, James; Belpaeme, Tony
2017-01-01
The benefit of social robots to support child learning in an educational context over an extended period of time is evaluated. Specifically, the effect of personalisation and adaptation of robot social behaviour is assessed. Two autonomous robots were embedded within two matched classrooms of a primary school for a continuous two week period without experimenter supervision to act as learning companions for the children for familiar and novel subjects. Results suggest that while children in both personalised and non-personalised conditions learned, there was increased child learning of a novel subject exhibited when interacting with a robot that personalised its behaviours, with indications that this benefit extended to other class-based performance. Additional evidence was obtained suggesting that there is increased acceptance of the personalised robot peer over a non-personalised version. These results provide the first evidence in support of peer-robot behavioural personalisation having a positive influence on learning when embedded in a learning environment for an extended period of time.
Robot education peers in a situated primary school study: Personalisation promotes child learning
Ashurst, Emily; Read, Robin; Kennedy, James; Belpaeme, Tony
2017-01-01
The benefit of social robots to support child learning in an educational context over an extended period of time is evaluated. Specifically, the effect of personalisation and adaptation of robot social behaviour is assessed. Two autonomous robots were embedded within two matched classrooms of a primary school for a continuous two week period without experimenter supervision to act as learning companions for the children for familiar and novel subjects. Results suggest that while children in both personalised and non-personalised conditions learned, there was increased child learning of a novel subject exhibited when interacting with a robot that personalised its behaviours, with indications that this benefit extended to other class-based performance. Additional evidence was obtained suggesting that there is increased acceptance of the personalised robot peer over a non-personalised version. These results provide the first evidence in support of peer-robot behavioural personalisation having a positive influence on learning when embedded in a learning environment for an extended period of time. PMID:28542648
Does the Room Matter? Active Learning in Traditional and Enhanced Lecture Spaces
ERIC Educational Resources Information Center
Stoltzfus, Jon R.; Libarkin, Julie
2016-01-01
SCALE-UP-type classrooms, originating with the Student-Centered Active Learning Environment with Upside-down Pedagogies project, are designed to facilitate active learning by maximizing opportunities for interactions between students and embedding technology in the classroom. Positive impacts when active learning replaces lecture are well…
Action Learning Drives the Emerald Academy
ERIC Educational Resources Information Center
Nalborczyk, Sarah; Sandelands, Luke
2012-01-01
This account examines the action learning process adopted by Emerald Group Publishing Ltd., embedded in the organization through the in-company Emerald Academy. In case study format, the paper emphasizes that in order to align learning with organizational objectives joined up thinking and practice is needed beyond the learning and development…
Toward Optimal Manifold Hashing via Discrete Locally Linear Embedding.
Rongrong Ji; Hong Liu; Liujuan Cao; Di Liu; Yongjian Wu; Feiyue Huang
2017-11-01
Binary code learning, also known as hashing, has received increasing attention in large-scale visual search. By transforming high-dimensional features to binary codes, the original Euclidean distance is approximated via Hamming distance. More recently, it is advocated that it is the manifold distance, rather than the Euclidean distance, that should be preserved in the Hamming space. However, it retains as an open problem to directly preserve the manifold structure by hashing. In particular, it first needs to build the local linear embedding in the original feature space, and then quantize such embedding to binary codes. Such a two-step coding is problematic and less optimized. Besides, the off-line learning is extremely time and memory consuming, which needs to calculate the similarity matrix of the original data. In this paper, we propose a novel hashing algorithm, termed discrete locality linear embedding hashing (DLLH), which well addresses the above challenges. The DLLH directly reconstructs the manifold structure in the Hamming space, which learns optimal hash codes to maintain the local linear relationship of data points. To learn discrete locally linear embeddingcodes, we further propose a discrete optimization algorithm with an iterative parameters updating scheme. Moreover, an anchor-based acceleration scheme, termed Anchor-DLLH, is further introduced, which approximates the large similarity matrix by the product of two low-rank matrices. Experimental results on three widely used benchmark data sets, i.e., CIFAR10, NUS-WIDE, and YouTube Face, have shown superior performance of the proposed DLLH over the state-of-the-art approaches.
ERIC Educational Resources Information Center
Zhang, Xiaolei; Wong, Jocelyn L. N.
2018-01-01
Studies of professional development have examined the influence of school-based approaches on in-service teacher learning and change but have seldom investigated teachers' job-embedded learning processes. This paper explores the dynamic processes of teacher learning in school-based settings. A qualitative comparative case study based on the…
Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification.
Su, Chi; Yang, Fan; Zhang, Shiliang; Tian, Qi; Davis, Larry Steven; Gao, Wen
2018-05-01
We propose Multi-Task Learning with Low Rank Attribute Embedding (MTL-LORAE) to address the problem of person re-identification on multi-cameras. Re-identifications on different cameras are considered as related tasks, which allows the shared information among different tasks to be explored to improve the re-identification accuracy. The MTL-LORAE framework integrates low-level features with mid-level attributes as the descriptions for persons. To improve the accuracy of such description, we introduce the low-rank attribute embedding, which maps original binary attributes into a continuous space utilizing the correlative relationship between each pair of attributes. In this way, inaccurate attributes are rectified and missing attributes are recovered. The resulting objective function is constructed with an attribute embedding error and a quadratic loss concerning class labels. It is solved by an alternating optimization strategy. The proposed MTL-LORAE is tested on four datasets and is validated to outperform the existing methods with significant margins.
Hock, Michael F
2012-01-01
Adults with learning disabilities (LD) attending adult basic education, GED programs, or community colleges are among the lowest performers on measures of literacy. For example, on multiple measures of reading comprehension, adults with LD had a mean reading score at the third grade level, whereas adults without LD read at the fifth grade level. In addition, large numbers of adults perform at the lowest skill levels on quantitative tasks. Clearly, significant instructional challenges exist for adults who struggle with literacy issues, and those challenges can be greater for adults with LD. In this article, the literature on adults with LD is reviewed, and evidenced-based instructional practices that significantly narrow the literacy achievement gap for this population are identified. Primary attention is given to instructional factors that have been shown to affect literacy outcomes for adults with LD. These factors include the use of explicit instruction, instructional technology, and intensive tutoring in skills and strategies embedded in authentic contexts.
Smith, Darron T; Juarez, Brenda G; Jacobson, Cardell K
2011-01-01
In this article, the authors examine White parents’ endeavors toward the racial enculturation and inculcation of their transracially adopted Black children. Drawing on in-depth interviews, the authors identify and analyze themes across the specific race socialization strategies and practices White adoptive parents used to help their adopted Black children to develop a positive racial identity and learn how to effectively cope with issues of race and racism. The central aim of this article is to examine how these lessons about race help to connect family members to U.S. society’s existing racial hierarchy and how these associations position individuals to help perpetuate or challenge the deeply embedded and historical structures of White supremacy. The authors use the notion of White racial framing to move outside of the traditional arguments for or against transracial adoption to instead explore how a close analysis of the adoptive parents’ racial instructions may serve as a learning tool to foster more democratic and inclusive forms of family and community.
Problem-Based Learning to Foster Deep Learning in Preservice Geography Teacher Education
ERIC Educational Resources Information Center
Golightly, Aubrey; Raath, Schalk
2015-01-01
In South Africa, geography education students' approach to deep learning has received little attention. Therefore the purpose of this one-shot experimental case study was to evaluate the extent to which first-year geography education students used deep or surface learning in an embedded problem-based learning (PBL) format. The researchers measured…
Leveraging the biology of adversity to address the roots of disparities in health and development
Shonkoff, Jack P.
2012-01-01
Extensive evidence that personal experiences and environmental exposures are embedded biologically (for better or for worse) and the cumulative knowledge of more than four decades of intervention research provide a promising opportunity to mobilize evolving scientific insights to catalyze a new era of more effective early childhood policy and practice. Drawing on emerging hypotheses about causal mechanisms that link early adversity with lifelong impairments in learning, behavior, and health, this paper proposes an enhanced theory of change to promote better outcomes for vulnerable, young children by strengthening caregiver and community capacities to reduce or mitigate the impacts of toxic stress, rather than simply providing developmental enrichment for the children and parenting education for their mothers. PMID:23045654
NASA Astrophysics Data System (ADS)
Shaw, Niamh; Sorkhabi, Elburz; Gasquez, Oriol; Yajima, Saho
2016-04-01
STEAMakers is a global initiative founded by Niamh Shaw, Elburz Sorkhabi, Oriol Gasquez & Saho Yajima, four alumni of The International Space University's Space Studies Programme 2015 who each shared a vision to inspire the next generation to embrace science, technology, engineering & maths (STEM) in new ways, by embedding the Arts within STEM, putting the 'A' in STEAM. STEAMakers invited STEM professionals around the world to join their community, providing training and a suite of STEAM events, specially designed to encourage students to perceive science, technology, engineering & maths as a set of tools with which to create, design, troubleshoot, innovate, and imagine. The ultimate goal of STEAMakers is to grow this community and create a global culture of non-linear learning among the next generation, to nurture within them a new multidisciplinary mindset and incubate new forms of innovation and thought leadership required for the future through the power of inspiration and creativity.
Heidari, Morteza; Khuzani, Abolfazl Zargari; Hollingsworth, Alan B; Danala, Gopichandh; Mirniaharikandehei, Seyedehnafiseh; Qiu, Yuchen; Liu, Hong; Zheng, Bin
2018-01-30
In order to automatically identify a set of effective mammographic image features and build an optimal breast cancer risk stratification model, this study aims to investigate advantages of applying a machine learning approach embedded with a locally preserving projection (LPP) based feature combination and regeneration algorithm to predict short-term breast cancer risk. A dataset involving negative mammograms acquired from 500 women was assembled. This dataset was divided into two age-matched classes of 250 high risk cases in which cancer was detected in the next subsequent mammography screening and 250 low risk cases, which remained negative. First, a computer-aided image processing scheme was applied to segment fibro-glandular tissue depicted on mammograms and initially compute 44 features related to the bilateral asymmetry of mammographic tissue density distribution between left and right breasts. Next, a multi-feature fusion based machine learning classifier was built to predict the risk of cancer detection in the next mammography screening. A leave-one-case-out (LOCO) cross-validation method was applied to train and test the machine learning classifier embedded with a LLP algorithm, which generated a new operational vector with 4 features using a maximal variance approach in each LOCO process. Results showed a 9.7% increase in risk prediction accuracy when using this LPP-embedded machine learning approach. An increased trend of adjusted odds ratios was also detected in which odds ratios increased from 1.0 to 11.2. This study demonstrated that applying the LPP algorithm effectively reduced feature dimensionality, and yielded higher and potentially more robust performance in predicting short-term breast cancer risk.
NASA Astrophysics Data System (ADS)
Heidari, Morteza; Zargari Khuzani, Abolfazl; Hollingsworth, Alan B.; Danala, Gopichandh; Mirniaharikandehei, Seyedehnafiseh; Qiu, Yuchen; Liu, Hong; Zheng, Bin
2018-02-01
In order to automatically identify a set of effective mammographic image features and build an optimal breast cancer risk stratification model, this study aims to investigate advantages of applying a machine learning approach embedded with a locally preserving projection (LPP) based feature combination and regeneration algorithm to predict short-term breast cancer risk. A dataset involving negative mammograms acquired from 500 women was assembled. This dataset was divided into two age-matched classes of 250 high risk cases in which cancer was detected in the next subsequent mammography screening and 250 low risk cases, which remained negative. First, a computer-aided image processing scheme was applied to segment fibro-glandular tissue depicted on mammograms and initially compute 44 features related to the bilateral asymmetry of mammographic tissue density distribution between left and right breasts. Next, a multi-feature fusion based machine learning classifier was built to predict the risk of cancer detection in the next mammography screening. A leave-one-case-out (LOCO) cross-validation method was applied to train and test the machine learning classifier embedded with a LLP algorithm, which generated a new operational vector with 4 features using a maximal variance approach in each LOCO process. Results showed a 9.7% increase in risk prediction accuracy when using this LPP-embedded machine learning approach. An increased trend of adjusted odds ratios was also detected in which odds ratios increased from 1.0 to 11.2. This study demonstrated that applying the LPP algorithm effectively reduced feature dimensionality, and yielded higher and potentially more robust performance in predicting short-term breast cancer risk.
Stable orthogonal local discriminant embedding for linear dimensionality reduction.
Gao, Quanxue; Ma, Jingjie; Zhang, Hailin; Gao, Xinbo; Liu, Yamin
2013-07-01
Manifold learning is widely used in machine learning and pattern recognition. However, manifold learning only considers the similarity of samples belonging to the same class and ignores the within-class variation of data, which will impair the generalization and stableness of the algorithms. For this purpose, we construct an adjacency graph to model the intraclass variation that characterizes the most important properties, such as diversity of patterns, and then incorporate the diversity into the discriminant objective function for linear dimensionality reduction. Finally, we introduce the orthogonal constraint for the basis vectors and propose an orthogonal algorithm called stable orthogonal local discriminate embedding. Experimental results on several standard image databases demonstrate the effectiveness of the proposed dimensionality reduction approach.
Embedding Multiple Literacies into STEM Curricula
ERIC Educational Resources Information Center
Soules, Aline; Nielsen, Sarah; LeDuc, Danika; Inouye, Caron; Singley, Jason; Wildy, Erica; Seitz, Jeff
2014-01-01
In fall 2012, an interdisciplinary team of science, English, and library faculty embedded reading, writing, and information literacy strategies in Science, Technology, Engineering, and Mathematics (STEM) curricula as a first step in improving student learning and retention in science courses and aligning them with the Next Generation Science and…
Professional Learning 101: A Syllabus of Seven Protocols
ERIC Educational Resources Information Center
Fogarty, Robin; Pete, Brian
2010-01-01
Seven elements found in professional development research are necessary for successful professional development programs. High-quality professional learning must be sustained, job-embedded, collegial, interactive, integrative, practical, and results-oriented.
Incorporating Multifaceted Mental Health Prevention Services in Community Sectors-of-Care
ERIC Educational Resources Information Center
Gewirtz, Abigail H.; August, Gerald J.
2008-01-01
This article proposes a framework for embedding prevention services into community sectors-of-care. Community sectors-of-care include both formal and grassroot organizations distributed throughout a community that provide various resources and services to at-risk children and their families. Though the child population served by these…
A manifold learning approach to target detection in high-resolution hyperspectral imagery
NASA Astrophysics Data System (ADS)
Ziemann, Amanda K.
Imagery collected from airborne platforms and satellites provide an important medium for remotely analyzing the content in a scene. In particular, the ability to detect a specific material within a scene is of high importance to both civilian and defense applications. This may include identifying "targets" such as vehicles, buildings, or boats. Sensors that process hyperspectral images provide the high-dimensional spectral information necessary to perform such analyses. However, for a d-dimensional hyperspectral image, it is typical for the data to inherently occupy an m-dimensional space, with m << d. In the remote sensing community, this has led to a recent increase in the use of manifold learning, which aims to characterize the embedded lower-dimensional, non-linear manifold upon which the hyperspectral data inherently lie. Classic hyperspectral data models include statistical, linear subspace, and linear mixture models, but these can place restrictive assumptions on the distribution of the data; this is particularly true when implementing traditional target detection approaches, and the limitations of these models are well-documented. With manifold learning based approaches, the only assumption is that the data reside on an underlying manifold that can be discretely modeled by a graph. The research presented here focuses on the use of graph theory and manifold learning in hyperspectral imagery. Early work explored various graph-building techniques with application to the background model of the Topological Anomaly Detection (TAD) algorithm, which is a graph theory based approach to anomaly detection. This led towards a focus on target detection, and in the development of a specific graph-based model of the data and subsequent dimensionality reduction using manifold learning. An adaptive graph is built on the data, and then used to implement an adaptive version of locally linear embedding (LLE). We artificially induce a target manifold and incorporate it into the adaptive LLE transformation; the artificial target manifold helps to guide the separation of the target data from the background data in the new, lower-dimensional manifold coordinates. Then, target detection is performed in the manifold space.
Semi-supervised tracking of extreme weather events in global spatio-temporal climate datasets
NASA Astrophysics Data System (ADS)
Kim, S. K.; Prabhat, M.; Williams, D. N.
2017-12-01
Deep neural networks have been successfully applied to solve problem to detect extreme weather events in large scale climate datasets and attend superior performance that overshadows all previous hand-crafted methods. Recent work has shown that multichannel spatiotemporal encoder-decoder CNN architecture is able to localize events in semi-supervised bounding box. Motivated by this work, we propose new learning metric based on Variational Auto-Encoders (VAE) and Long-Short-Term-Memory (LSTM) to track extreme weather events in spatio-temporal dataset. We consider spatio-temporal object tracking problems as learning probabilistic distribution of continuous latent features of auto-encoder using stochastic variational inference. For this, we assume that our datasets are i.i.d and latent features is able to be modeled by Gaussian distribution. In proposed metric, we first train VAE to generate approximate posterior given multichannel climate input with an extreme climate event at fixed time. Then, we predict bounding box, location and class of extreme climate events using convolutional layers given input concatenating three features including embedding, sampled mean and standard deviation. Lastly, we train LSTM with concatenated input to learn timely information of dataset by recurrently feeding output back to next time-step's input of VAE. Our contribution is two-fold. First, we show the first semi-supervised end-to-end architecture based on VAE to track extreme weather events which can apply to massive scaled unlabeled climate datasets. Second, the information of timely movement of events is considered for bounding box prediction using LSTM which can improve accuracy of localization. To our knowledge, this technique has not been explored neither in climate community or in Machine Learning community.
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
NASA Astrophysics Data System (ADS)
Thames, Tasha Herrington
The advancement in technology integration is laying the groundwork of a paradigm shift in the higher education system (Noonoo, 2011). The National Dropout Prevention Center (n.d.) claims that technology offers some of the best opportunities for presenting instruction to engage students in meaningful education, addressing multiple intelligences, and adjusting to students' various learning styles. The purpose of this study was to investigate if implementing clicker technology would have a statistically significant difference on student retention and student achievement, while controlling for learning styles, for students in non-major biology courses who were and were not subjected to the technology. This study also sought to identify if students perceived the use of clickers as beneficial to their learning. A quantitative quasi-experimental research design was utilized to determine the significance of differences in pre/posttest achievement scores between students who participated during the fall semester in 2014. Overall, 118 students (n = 118) voluntarily enrolled in the researcher's fall non-major Biology course at a southern community college. A total of 71 students were assigned to the experimental group who participated in instruction incorporating the ConcepTest Process with clicker technology along with traditional lecture. The remaining 51 students were assigned to the control group who participated in a traditional lecture format with peer instruction embedded. Statistical analysis revealed the experimental clicker courses did have higher posttest scores than the non-clicker control courses, but this was not significant (p >.05). Results also implied that clickers did not statistically help retain students to complete the course. Lastly, the results indicated that there were no significant statistical difference in student's clicker perception scores between the different learning style preferences.
ERIC Educational Resources Information Center
Sozcu, Omer Faruk
2014-01-01
This study examines the relationships between cognitive styles of field dependent learners with their attitudes towards e-learning (distance education) and instructional behavior in e-learning instruction. The Group Embedded Figures Test (GEFT) and the attitude survey (for students' preferences) towards e-learning instruction as distance education…
ERIC Educational Resources Information Center
Contrino, Jacline L.
2016-01-01
Demonstrating library impact on student success is critical for all academic libraries today. This article discusses how the library of a large online university serving non-traditional students evaluated how customized point-of-need learning objects (LOs) embedded in the learning management system impacted student learning. Using a comprehensive…
ERIC Educational Resources Information Center
Moore, Keri; Ferns, Sonia; Peach, Deborah
2015-01-01
The increasing emphasis on embedding work-integrated learning (WIL) in the higher education curriculum has impacted on teaching and learning approaches. While the benefits of incorporating experiential learning in the student experience are recognized by all stakeholders, additional costs incurred by students have not been identified. At the same…
Life-Span Learning: A Developmental Perspective
ERIC Educational Resources Information Center
Thornton, James E.
2003-01-01
The article discusses learning as embedded processes of development and aging, and as social activity over the life course. The concept of life-span learning is proposed and outlined to discuss these processes as aspects of and propositions in life-span development and aging theory. Life-span learning processes arise and continuously develop in a…
Supporting Adults to Address Their Literacy Needs Using E-Learning
ERIC Educational Resources Information Center
Fletcher, Jo; Nicholas, Karen; Davis, Niki
2011-01-01
Many adults need help with literacy learning. This is extremely challenging for the tertiary education sector and workplace-situated learning organisations. E-learning may be an effective and efficient way to improve the delivery of teaching of basic skills to learners. Our research study included five embedded case studies within one tertiary…
ERIC Educational Resources Information Center
Robson, Fiona; Forster, Gillian; Powell, Lynne
2016-01-01
The context for this research is a residential learning weekend which is embedded into all postgraduate programmes at Newcastle Business School via a management development module entitled "Developing Self". The objective of this study was to identify and explore how participatory learning in multicultural groups enables international…
Effectiveness of eLearning in Statistics: Pictures and Stories
ERIC Educational Resources Information Center
Blackburn, Greg
2015-01-01
The study investigates (1) the effectiveness of using eLearning-embedded stories and pictures in order to improve learning outcomes for students and (2) how universities can adopt innovative approaches to the creation of Problem-Based Learning (PBL) resources and embed them in educational technology for teaching domain-specific content, such as…
Embedding Blended Learning in a University's Teaching Culture: Experiences and Reflections
ERIC Educational Resources Information Center
Davis, Hugh C.; Fill, Karen
2007-01-01
Blended learning, the combination of traditional face-to-face teaching methods with authentic online learning activities, has the potential to transform student-learning experiences and outcomes. In spite of this advantage, university teachers often find it difficult to adopt new online techniques, in part because institutional practices are still…
Sustaining Student Engagement in Learning Science
ERIC Educational Resources Information Center
Ateh, Comfort M.; Charpentier, Alicia
2014-01-01
Many students perceive science to be a difficult subject and are minimally engaged in learning it. This article describes a lesson that embedded an activity to engage students in learning science. It also identifies features of a science lesson that are likely to enhance students' engagement and learning of science and possibly reverse students'…
Statistical Learning and Language: An Individual Differences Study
ERIC Educational Resources Information Center
Misyak, Jennifer B.; Christiansen, Morten H.
2012-01-01
Although statistical learning and language have been assumed to be intertwined, this theoretical presupposition has rarely been tested empirically. The present study investigates the relationship between statistical learning and language using a within-subject design embedded in an individual-differences framework. Participants were administered…
ERIC Educational Resources Information Center
Namuo, Clyne G. H.
2013-01-01
This multi-site case study is really the story of three same-state community colleges (Bridge and Buffer Community College, Grants and Reserves Community College, and Crystal Ball Community College) two years after they suffered a potentially catastrophic 50% reduction in state allocations. This study examined their responses to those reductions…
ERIC Educational Resources Information Center
Bury, Sophie; Sheese, Ron
2016-01-01
We discuss an educational development approach to embedding academic literacies instruction within disciplinary curricula. This developmental, embedded approach contrasts with the generic, extra-curricular, study-skills approach adopted in many universities. Learning Commons partners at York University, including librarians, writing instructors,…
Multimedia Football Viewing: Embedded Rules, Practice, and Video Context in IVD Procedural Learning.
ERIC Educational Resources Information Center
Kim, Eunsoon; Young, Michael F.
This study investigated the effects of interactive video (IVD) instruction with embedded rules (production system rules) and practice with feedback on learners' academic achievement and perceived self efficacy in the domain of procedural knowledge for watching professional football. Subjects were 71 female volunteers from undergraduate education…
Promoting Teacher Growth through Lesson Study: A Culturally Embedded Approach
ERIC Educational Resources Information Center
Ebaeguin, Marlon
2015-01-01
Lesson Study has captured the attention of many international educators with its promise of improved student learning and sustained teacher growth. Lesson Study, however, has cultural underpinnings that a simple transference model overlooks. A culturally embedded approach attends to the existing cultural orientations and values of host schools.…
Effects of Professional Development on Preschool Teachers' Use of Embedded Instruction Practices
ERIC Educational Resources Information Center
Snyder, Patricia; Hemmeter, Mary Louise; McLean, Mary; Sandall, Susan; McLaughlin, Tara; Algina, James
2018-01-01
We conducted a randomized controlled potential efficacy trial to examine effects of two variants of the Tools for Teachers (TfT) professional development (PD) intervention on preschool teachers' implementation of embedded instruction practices and children's developmental and learning outcomes. Thirty-six preschool teachers recruited from three…
Embedding Academic Literacy Skills: Towards a Best Practice Model
ERIC Educational Resources Information Center
McWilliams, Robyn; Allan, Quentin
2014-01-01
Learning advisors provide academic literacy development support in a variety of configurations, ranging from one-on-one consultations through to large-scale lectures. Such lectures can be generic, stand-alone modules or embedded within a discipline-specific course. Pragmatic and institutional considerations suggest that a generic model of delivery…
Embedding Research-Based Learning Early in the Undergraduate Geography Curriculum
ERIC Educational Resources Information Center
Walkington, Helen; Griffin, Amy L.; Keys-Mathews, Lisa; Metoyer, Sandra K.; Miller, Wendy E.; Baker, Richard; France, Derek
2011-01-01
This article considers the rationale for embedding research and enquiry skills early in the undergraduate geography curriculum and for making these skills explicit to students. A survey of 52 international geography faculty identified critical thinking, framing research questions, reflectivity and creativity as the most challenging research skills…
ERIC Educational Resources Information Center
Remedios, Louisa; Clarke, David; Hawthorne, Lesleyanne
2012-01-01
The dialogic nature of small group collaborative learning requires verbal contributions from students to progress individual and group learning. Speaking can become privileged over listening as a collaborative act, and an imbalance in these values can become embedded in the classroom culture to the degree that the core value of listening can be…
ERIC Educational Resources Information Center
Schrader, Claudia; Bastiaens, Theo
2012-01-01
Embedding support devices in educational computer games has been asserted to positively affect learning outcomes. However, there is only limited direct empirical evidence on which design variations of support provision influence learning. In order to better understand the impact of support design on novices' learning, the current study…
From VLEs to Learning Webs: The Implications of Web 2.0 for Learning and Teaching
ERIC Educational Resources Information Center
Brown, Stephen
2010-01-01
This paper reflects on the current position of virtual learning environments (VLEs) in universities and speculates about likely future directions for e-learning. Using accepted models of technology innovation and looking at current Web trends, it considers the extent to which e-learning is truly embedded in institutions, how Web 2.0 is being used…
RESLanjut: The learning media for improve students understanding in embedded systems
NASA Astrophysics Data System (ADS)
Indrianto, Susanti, Meilia Nur Indah; Karina, Djunaidi
2017-08-01
The use of network in embedded system can be done with many kinds of network, with the use of mobile phones, bluetooths, modems, ethernet cards, wireless technology and so on. Using network in embedded system could help people to do remote controlling. On previous research, researchers found that many students have the ability to comprehend the basic concept of embedded system. They could also make embedded system tools but without network integration. And for that, a development is needed for the embedded system module. The embedded system practicum module design needs a prototype method in order to achieve the desired goal. The prototype method is often used in the real world. Or even, a prototype method is a part of products that consist of logic expression or external physical interface. The embedded system practicum module is meant to increase student comprehension of embedded system course, and also to encourage students to innovate on technology based tools. It is also meant to help teachers to teach the embedded system concept on the course. The student comprehension is hoped to increase with the use of practicum course.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Kolesnikov, S. V., E-mail: kolesnikov@physics.msu.ru; Klavsyuk, A. L.; Saletsky, A. M.
The self-organization and magnetic properties of small iron and cobalt nanostructures embedded into the first layer of a Cu(100) surface are investigated using the self-learning kinetic Monte Carlo method and density functional theory. The similarities and differences between the Fe/Cu(100) and the Co/Cu(100) are underlined. The time evolution of magnetic properties of a copper monolayer with embedded magnetic atoms at 380 K is discussed.
Structured sparse linear graph embedding.
Wang, Haixian
2012-03-01
Subspace learning is a core issue in pattern recognition and machine learning. Linear graph embedding (LGE) is a general framework for subspace learning. In this paper, we propose a structured sparse extension to LGE (SSLGE) by introducing a structured sparsity-inducing norm into LGE. Specifically, SSLGE casts the projection bases learning into a regression-type optimization problem, and then the structured sparsity regularization is applied to the regression coefficients. The regularization selects a subset of features and meanwhile encodes high-order information reflecting a priori structure information of the data. The SSLGE technique provides a unified framework for discovering structured sparse subspace. Computationally, by using a variational equality and the Procrustes transformation, SSLGE is efficiently solved with closed-form updates. Experimental results on face image show the effectiveness of the proposed method. Copyright © 2011 Elsevier Ltd. All rights reserved.
Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models
NASA Astrophysics Data System (ADS)
Benedetti, Marcello; Realpe-Gómez, John; Biswas, Rupak; Perdomo-Ortiz, Alejandro
2017-10-01
Mainstream machine-learning techniques such as deep learning and probabilistic programming rely heavily on sampling from generally intractable probability distributions. There is increasing interest in the potential advantages of using quantum computing technologies as sampling engines to speed up these tasks or to make them more effective. However, some pressing challenges in state-of-the-art quantum annealers have to be overcome before we can assess their actual performance. The sparse connectivity, resulting from the local interaction between quantum bits in physical hardware implementations, is considered the most severe limitation to the quality of constructing powerful generative unsupervised machine-learning models. Here, we use embedding techniques to add redundancy to data sets, allowing us to increase the modeling capacity of quantum annealers. We illustrate our findings by training hardware-embedded graphical models on a binarized data set of handwritten digits and two synthetic data sets in experiments with up to 940 quantum bits. Our model can be trained in quantum hardware without full knowledge of the effective parameters specifying the corresponding quantum Gibbs-like distribution; therefore, this approach avoids the need to infer the effective temperature at each iteration, speeding up learning; it also mitigates the effect of noise in the control parameters, making it robust to deviations from the reference Gibbs distribution. Our approach demonstrates the feasibility of using quantum annealers for implementing generative models, and it provides a suitable framework for benchmarking these quantum technologies on machine-learning-related tasks.
Small Science: Infants and Toddlers Experiencing Science in Everyday Family Life
NASA Astrophysics Data System (ADS)
Sikder, Shukla; Fleer, Marilyn
2015-06-01
Vygotsky (1987) stated that the restructured form of everyday concepts learned at home and in the community interact with scientific concepts introduced in formal school settings, leading to a higher level of scientific thinking for school-aged children. But, what does this mean for the scientific learning of infants and toddlers? What kinds of science learning are afforded at home during this early period of life? The study reported in this paper sought to investigate the scientific development of infants-toddlers (10 to 36 months) growing up in Bangladeshi families living in Australia and Singapore. Four families were studied over 2 years. Digital video observations were made of everyday family life and analysed using Vygotsky's theoretical framework of everyday concepts and scientific concepts (51 h of digital observations). While there are many possibilities for developing scientific concepts in infants-toddlers' everyday life, our study found four categories of what we have called small science: multiple possibilities for science; discrete science; embedded science and counter intuitive science. The findings of this study contribute to the almost non-existent literature into infants and toddlers' scientific development and advance new understandings of early childhood science education.
The Guided Autobiography Method: A Learning Experience
ERIC Educational Resources Information Center
Thornton, James E.
2008-01-01
This article discusses the proposition that learning is an unexplored feature of the guided autobiography method and its developmental exchange. Learning, conceptualized and explored as the embedded and embodied processes, is essential in narrative activities of the guided autobiography method leading to psychosocial development and growth in…
Assessing Learning: From Accountability to Transformation
ERIC Educational Resources Information Center
Wehlburg, Catherine M.
2010-01-01
Assessing learning in higher education can be a very difficult task. There are some differences, however, when assessing for accountability to others and assessing for transformation. These distinctions are embedded in our historical understanding of teaching and learning. This article describes how over time, higher education has viewed…
What if Teachers Learn in the Classroom?
ERIC Educational Resources Information Center
Soini, Tiina; Pietarinen, Janne; Pyhältö, Kirsi
2016-01-01
This study focuses on exploring teacher learning in terms of teachers' professional agency embedded in the classroom. Teachers' sense of professional agency is related to perceiving instruction as a bidirectional process, use of students as a resource for professional learning and continuous reflection on teaching practices. Accordingly, the…
Embedding of Authentic Assessment in Work-Integrated Learning Curriculum
ERIC Educational Resources Information Center
Bosco, Anna Maria; Ferns, Sonia
2014-01-01
Contemporary perspectives of higher education endorse a work integrated learning (WIL) approach to curriculum content, delivery and assessment. It is agreed that authenticity in learning relates to real-world experience, however, differentiating and strategically linking WIL provision and facilitation to assessment tasks and collation of authentic…
Teacher Learning: Reflective Practice as a Site of Engagement for Professional Identity Construction
ERIC Educational Resources Information Center
Hung, Hsiu-ting
2008-01-01
This paper reports a qualitative study in response to the growing research interest in teacher learning. Informed by a sociocultural perspective, teacher learning is considered as a process of identity construction in the paper. This paper taps into the development of teacher identity embedded in teacher learning and views reflection as a social…
ERIC Educational Resources Information Center
Dalziel, James; Dalziel, Bronwen
2012-01-01
One of the ongoing challenges in the field of Learning Design is how to most effectively support educators in the development of innovative e-learning through the adoption and adaptation of learning design templates. This paper reflects on experiences from two recent higher education projects in teacher training and medical education, and…
Evaluation of the Learning Process of Students Reinventing the General Law of Energy Conservation
ERIC Educational Resources Information Center
Logman, Paul; Kaper, Wolter; Ellermeijer, Ton
2015-01-01
To investigate the relationship between context and concept we have constructed a conceptual learning path in which students reinvent the concept of energy conservation and embedded this path in two authentic practices. A comparison of the expected learning outcome with actual student output for the most important steps in the learning path gives…
ERIC Educational Resources Information Center
Stirling, Ashley; Kerr, Gretchen; MacPherson, Ellen; Banwell, Jenessa; Bandealy, Ahad; Battaglia, Anthony
2017-01-01
The educational benefits of embedding hands-on experience in higher education curriculum are widely recognized (Beard & Wilson, 2013). However, to optimize the learning from these opportunities, they need to be grounded in empirical learning theory. The purpose of this study was to examine the characteristics of internships in Ontario colleges…
An Evaluation of Learning Objects in Singapore Primary Education: A Case Study Approach
ERIC Educational Resources Information Center
Grace, Tay Pei Lyn; Suan, Ng Peck; Wanzhen, Liaw
2008-01-01
Purpose: The purpose of this paper is to evaluate the usability and interface design of e-learning portal developed for primary schools in Singapore. Design/methodology/approach: Using Singapore-based learning EDvantage (LEAD) portal as a case study, this paper reviews and analyses the usability and usefulness of embedded learning objects (LOs)…
Three Collaborative Models for Scaling Up Evidence-Based Practices
Roberts, Rosemarie; Jones, Helen; Marsenich, Lynne; Sosna, Todd; Price, Joseph M.
2015-01-01
The current paper describes three models of research-practice collaboration to scale-up evidence-based practices (EBP): (1) the Rolling Cohort model in England, (2) the Cascading Dissemination model in San Diego County, and (3) the Community Development Team model in 53 California and Ohio counties. Multidimensional Treatment Foster Care (MTFC) and KEEP are the focal evidence-based practices that are designed to improve outcomes for children and families in the child welfare, juvenile justice, and mental health systems. The three scale-up models each originated from collaboration between community partners and researchers with the shared goal of wide-spread implementation and sustainability of MTFC/KEEP. The three models were implemented in a variety of contexts; Rolling Cohort was implemented nationally, Cascading Dissemination was implemented within one county, and Community Development Team was targeted at the state level. The current paper presents an overview of the development of each model, the policy frameworks in which they are embedded, system challenges encountered during scale-up, and lessons learned. Common elements of successful scale-up efforts, barriers to success, factors relating to enduring practice relationships, and future research directions are discussed. PMID:21484449
GLOBAL CLIMATE CHANGE AND ITS IMPACT ON DISEASE IMBEDDED IN ECOLOGICAL COMMUNITIES
We present the techniques of qualitative analysis of complex communities and discuss the impact of climate change as a press perturbation. In particular, we focus on the difficult problem of disease and parasites embedded in animal communities, notably zoonotic diseases. Climate ...
Experiences as an embedded librarian in online courses.
Konieczny, Alison
2010-01-01
Embedded librarianship gives librarians a prime opportunity to have a direct, positive impact in a clinical setting, classroom setting, or within a working group by providing integrated services that cater to the group's needs. Extending embedded librarian services beyond the various physical settings and into online classrooms is an exceptional way for librarians to engage online learners. This group of students is growing rapidly in numbers and could benefit greatly from having library services and resources incorporated into their classes. The author's services as an embedded librarian in fully online courses at a medium-sized university will be discussed, as will strategies, lessons learned, and opportunities for engaging in this realm. To develop a foundation of knowledge on embedded librarianship, an overview of this topic is provided.
Trelease, Robert B; Nieder, Gary L
2013-01-01
Web deployable anatomical simulations or "virtual reality learning objects" can easily be produced with QuickTime VR software, but their use for online and mobile learning is being limited by the declining support for web browser plug-ins for personal computers and unavailability on popular mobile devices like Apple iPad and Android tablets. This article describes complementary methods for creating comparable, multiplatform VR learning objects in the new HTML5 standard format, circumventing platform-specific limitations imposed by the QuickTime VR multimedia file format. Multiple types or "dimensions" of anatomical information can be embedded in such learning objects, supporting different kinds of online learning applications, including interactive atlases, examination questions, and complex, multi-structure presentations. Such HTML5 VR learning objects are usable on new mobile devices that do not support QuickTime VR, as well as on personal computers. Furthermore, HTML5 VR learning objects can be embedded in "ebook" document files, supporting the development of new types of electronic textbooks on mobile devices that are increasingly popular and self-adopted for mobile learning. © 2012 American Association of Anatomists.
Reflection of Learning Theories in Iranian ELT Textbooks
ERIC Educational Resources Information Center
Neghad, Hossein Hashem
2014-01-01
This study was undertaken to evaluate Iranian ELT English textbooks (Senior High school and Pre-University) in the light of three learning theories i.e., behaviourism, cognitivism, and constructivism. Each of these learning theories embedding an array of instructional strategies and techniques acted as evaluation checklist. That is, Iranian ELT…
A Reflexive Evaluation of Technology-Enhanced Learning
ERIC Educational Resources Information Center
Young, Suzanne; Nichols, Helen
2017-01-01
This article explores the lived experiences of two academics in a UK Higher Education Institution who have embedded digital learning approaches within their curriculum delivery. Achieving student excellence can be impeded by a lack of engagement and sense of identity on large courses. Digital learning strategies can offer opportunities to overcome…
Early Learning and Development: Cultural-Historical Concepts in Play
ERIC Educational Resources Information Center
Fleer, Marilyn
2010-01-01
"Early Learning and Development" provides a unique synthesis of cultural-historical theory from Vygotsky, Elkonin and Leontiev in the 20th century to the ground-breaking research of scholars such as Siraj-Blatchford, Kratsova and Hedegaard today. It demonstrates how development and learning are culturally embedded and institutionally defined, and…
What Do Students Want? Making Sense of Student Preferences in Technology-Enhanced Learning
ERIC Educational Resources Information Center
Pechenkina, Ekaterina; Aeschliman, Carol
2017-01-01
This article, with its focus on university students as intended recipients and users of technological innovations in education, explores student preferences across three dimensions of technology-enhanced learning: mode of instruction; communication; and educational technology tools embedded in learning and teaching activities. The article draws on…
ERIC Educational Resources Information Center
Rassuli, Ali
2012-01-01
Extrinsic inducements to adjust students' learning motivations have evolved within 2 opposing paradigms. Cognitive evaluation theories claim that controlling factors embedded in extrinsic rewards dissipate intrinsic aspirations. Behavioral theorists contend that if engagement is voluntary, extrinsic reinforcements enhance learning without ill…
Identifying Instructional Strategies Used to Design Mobile Learning in a Corporate Setting
ERIC Educational Resources Information Center
Jackson-Butler, Uletta
2016-01-01
The purpose of this qualitative embedded multiple case study was to describe what instructional strategies corporate instructional designers were using to design mobile learning and to understand from their experiences which instructional strategies they believed enhance learning. Participants were five instructional designers who were actively…
ERIC Educational Resources Information Center
Lee, Ahlam
2013-01-01
Many STEM studies have focused on traditional learning contexts, such as math- and science-related learning factors, as pre-college learning predictors for STEM major choices in colleges. Few studies have considered a progressive learning activity embedded within STEM contexts. This study chose computer-based learning activities in K-12 math…
ERIC Educational Resources Information Center
Rakap, Salih
2017-01-01
The purpose of the present study was to examine the impact of training plus coaching on special education preservice teachers' use of embedded instruction learning trials (EILTs) within ongoing activities of inclusive preschool classrooms. A multiple baseline across participants design was used to investigate the relationships between coaching and…
ERIC Educational Resources Information Center
Ogden, Anthony C.
2010-01-01
This study builds on education abroad, global citizenship and academic development literatures by assessing the extent to which embedding brief international travel experiences into residentially-taught courses enhances academic development and promotes global citizenship. Such faculty-led, education abroad programs are referred to as…
Jimeno Yepes, Antonio
2017-09-01
Word sense disambiguation helps identifying the proper sense of ambiguous words in text. With large terminologies such as the UMLS Metathesaurus ambiguities appear and highly effective disambiguation methods are required. Supervised learning algorithm methods are used as one of the approaches to perform disambiguation. Features extracted from the context of an ambiguous word are used to identify the proper sense of such a word. The type of features have an impact on machine learning methods, thus affect disambiguation performance. In this work, we have evaluated several types of features derived from the context of the ambiguous word and we have explored as well more global features derived from MEDLINE using word embeddings. Results show that word embeddings improve the performance of more traditional features and allow as well using recurrent neural network classifiers based on Long-Short Term Memory (LSTM) nodes. The combination of unigrams and word embeddings with an SVM sets a new state of the art performance with a macro accuracy of 95.97 in the MSH WSD data set. Copyright © 2017 Elsevier Inc. All rights reserved.
Chan, Teresa M; Jo, David; Shih, Andrew W; Bhagirath, Vinai C; Castellucci, Lana A; Yeh, Calvin; Thoma, Brent; Tseng, Eric K; de Wit, Kerstin
2018-06-01
Online educational resources are criticized as being teacher-centred, failing to address learner's needs. Needs assessments are an important precursor to inform curriculum development, but these are often overlooked or skipped by developers of online educational resources due to cumbersome measurement tools. Novel methods are required to identify perceived and unperceived learning needs to allow targeted development of learner-centred curricula. To evaluate the feasibility of performing a novel technique dubbed the Massive Online Needs Assessment (MONA) for the purpose of emergency haematology online educational curricular planning, within an online learning community (affiliated with the Free Open Access Medical education movement). An online survey was launched on CanadiEM.org using an embedded Google Forms survey. Participants were recruited using the study website and a social media campaign (utilizing Twitter, Facebook, Blogs, and a poster) targeting a specific online community. Web analytics were used to monitor participation rates in addition to survey responses. The survey was open from 20 September to 10 December 2016 and received 198 complete responses representing 6 medical specialties from 21 countries. Most survey respondents identified themselves as staff physicians (n = 109) and medical trainees (n = 75). We identified 17 high-priority perceived needs, 17 prompted needs, and 10 topics with unperceived needs through our MONA process. A MONA is a feasible, novel method for collecting data on perceived, prompted, and unperceived learning needs to inform an online emergency haematology educational blog. This methodology could be useful to the developers of other online education resources.
Scahill, Shane; Fowler, Jane L; Hattingh, H Laetitia; Kelly, Fiona; Wheeler, Amanda J
2015-01-01
Objective: Mental health–related problems pose a serious issue for primary care, and community pharmacy could make a significant contribution, but there is a dearth of information. Methods: This article reports synthesis of the literature on mental health interventions across a range of pharmacy models, and pharmacy services in contexts beyond mental health. To best inform the design of a community pharmacy medication support intervention for mental health consumers, the literature was reported as a conceptual schema and subsequent recommendations for development, implementation and evaluation of the service. A broad conceptualisation was taken in this review. In addition to mental health and community pharmacy literature, policy/initiatives, organisational culture and change management principles, and evaluative processes were reviewed. Key words were selected and literature reviews undertaken using EMBASE, PubMed, CINAHL and Web of Science. Results: Recommendations were made around: medication support intervention design, consumer recruitment, implementation in community pharmacy and evaluation. Surprisingly, there is a scarce literature relating to mental health interventions in community pharmacy. Even so, findings from other pharmacy models and broader medicines management for chronic illness can inform development of a medication support service for mental health consumers. Key learnings include the need to expand medicines management beyond adherence with respect to both intervention design and evaluation. Conclusion: The conceptual framework is grounded in the need for programmes to be embedded within pharmacies that are part of the health system as a whole. PMID:26770802
Embedding Number-Combinations Practice Within Word-Problem Tutoring
Powell, Sarah R.; Fuchs, Lynn S.; Fuchs, Douglas
2012-01-01
Two aspects of mathematics with which students with mathematics learning difficulty (MLD) often struggle are word problems and number-combination skills. This article describes a math program in which students receive instruction on using algebraic equations to represent the underlying problem structure for three word-problem types. Students also learn counting strategies for answering number combinations that they cannot retrieve from memory. Results from randomized-control trials indicated that embedding the counting strategies for number combinations produces superior word-problem and number-combination outcomes for students with MLD beyond tutoring programs that focus exclusively on number combinations or word problems. PMID:22661880
Embedding Number-Combinations Practice Within Word-Problem Tutoring.
Powell, Sarah R; Fuchs, Lynn S; Fuchs, Douglas
2010-09-01
Two aspects of mathematics with which students with mathematics learning difficulty (MLD) often struggle are word problems and number-combination skills. This article describes a math program in which students receive instruction on using algebraic equations to represent the underlying problem structure for three word-problem types. Students also learn counting strategies for answering number combinations that they cannot retrieve from memory. Results from randomized-control trials indicated that embedding the counting strategies for number combinations produces superior word-problem and number-combination outcomes for students with MLD beyond tutoring programs that focus exclusively on number combinations or word problems.
Yeung, Susanna S S; Siegel, Linda S; Chan, Carol K K
2013-05-01
This study investigated the effects of a 12-week language-enriched phonological awareness instruction on 76 Hong Kong young children who were learning English as a second language. The children were assigned randomly to receive the instruction on phonological awareness skills embedded in vocabulary learning activities or comparison instruction which consisted of vocabulary learning and writing tasks but no direct instruction in phonological awareness skills. They were tested on receptive and expressive vocabulary, phonological awareness at the syllable, rhyme and phoneme levels, reading, and spelling in English before and after the program implementation. The results indicated that children who received the phonological awareness instruction performed significantly better than the comparison group on English word reading, spelling, phonological awareness at all levels and expressive vocabulary on the posttest when age, general intelligence and the pretest scores were controlled statistically. The findings suggest that phonological awareness instruction embedded in vocabulary learning activities might be beneficial to kindergarteners learning English as a second language.
ERIC Educational Resources Information Center
Wu, Leon Yufeng; Yamanaka, Akio
2013-01-01
In light of the increased usage of instructional media for teaching and learning, the design of these media as aids to convey the content for learning can be crucial for effective learning outcomes. In this vein, the literature has given attention to how concurrent on-screen text can be designed using these media to enhance learning performance.…
ERIC Educational Resources Information Center
Curry, Marnie Willis
2008-01-01
Background/Context: This study builds upon research on teacher professional communities and high school restructuring reforms. It employs a conceptual framework that draws upon theories of "community of practice" and "community of learners." Purpose/Objective/Research Question/Focus of Study: This study analyzes how teachers' professional inquiry…
ERIC Educational Resources Information Center
Hudson, Elizabeth
2013-01-01
This study investigated a federal comprehensive community initiative, the Promise Neighborhood initiative, in order to understand higher education community engagement in an embedded context. Promise Neighborhood programs aim to create a place-based system of family and education services that can support youth from early childhood through college…
ERIC Educational Resources Information Center
Hong, Jianzhong
2000-01-01
Explores the process of workplace learning and problem solving by examining Western and local enterprises in South China. Discusses whether the managerial concepts embedded in Chinese culture help or impede collective learning and concludes that new ways of working and learning are emerging through the interaction of Western and Chinese culture.…
Game-Informed Learning: Applying Computer Game Processes to Higher Education
ERIC Educational Resources Information Center
Begg, Michael; Dewhurst, David; Macleod, Hamish
2005-01-01
The term "game-based learning" has emerged as a general name for the use of computer games in education. Despite early work showing rich inferential learning taking place as a result of gameplay, most game-based learning has been geared towards using a game as a host into which curricular content can be embedded. This approach can be problematic,…
ERIC Educational Resources Information Center
McLaughlin, Tara W.; Snyder, Patricia A.; Algina, James
2017-01-01
The Learning Target Rating Scale (LTRS) is a measure designed to evaluate the quality of teacher-developed learning targets for embedded instruction for early learning. In the present study, we examined the measurement dependability of LTRS scores by conducting a generalizability study (G-study). We used a partially nested, three-facet model to…
ERIC Educational Resources Information Center
Chun, Eul Jung; Hertzog, Nancy B.; Gaffney, Janet S.; Dymond, Stacy K.
2012-01-01
The researchers described in this case study how Service Learning was incorporated within the context of an early childhood program where the teachers used the Project Approach. The Service Learning project was embedded in an investigation about water and was designed to help tsunami victims in Asia. Participants included two teachers and 12…
The Impact of Organisational Structure and Practices on Learning in the Workplace
ERIC Educational Resources Information Center
Ashton, David N.
2004-01-01
The main thrust of the research effort into workplace learning has been to identify the characteristics of workplace learning as experienced by the learner. The impact of the wider organisational process in which that learning is embedded have been played down. This paper, building on the work of Koike and Darrah, uses research conducted in a…
Developing Agency for Equity-Minded Change
ERIC Educational Resources Information Center
Felix, Eric R.; Bensimon, Estela Mara; Hanson, Debbie; Gray, James; Klingsmith, Libby
2015-01-01
This chapter highlights the use of the Equity Scorecard with the Community College of Aurora. The Equity Scorecard is a theory-based strategy that assists community colleges in embedding equity into their institutional norms, practices, and policies.
Foli, Samson; Ros-Tonen, Mirjam A F; Reed, James; Sunderland, Terry
2018-07-01
In recognition of the failures of sectoral approaches to overcome global challenges of biodiversity loss, climate change, food insecurity and poverty, scientific discourse on biodiversity conservation and sustainable development is shifting towards integrated landscape governance arrangements. Current landscape initiatives however very much depend on external actors and funding, raising the question of whether, and how, and under what conditions, locally embedded resource management schemes can serve as entry points for the implementation of integrated landscape approaches. This paper assesses the entry point potential for three established natural resource management schemes in West Africa that target landscape degradation with involvement of local communities: the Chantier d'Aménagement Forestier scheme encompassing forest management sites across Burkina Faso and the Modified Taungya System and community wildlife resource management initiatives in Ghana. Based on a review of the current literature, we analyze the extent to which design principles that define a landscape approach apply to these schemes. We found that the CREMA meets most of the desired criteria, but that its scale may be too limited to guarantee effective landscape governance, hence requiring upscaling. Conversely, the other two initiatives are strongly lacking in their design principles on fundamental components regarding integrated approaches, continual learning, and capacity building. Monitoring and evaluation bodies and participatory learning and negotiation platforms could enhance the schemes' alignment with integrated landscape approaches.
Panaceas and diversification of environmental policy
Brock, William A.; Carpenter, Stephen R.
2007-01-01
We consider panacea formation in the framework of adaptive learning and decision for social–ecological systems (SESs). Institutions for managing such systems must address multiple timescales of ecological change, as well as features of the social community in which the ecosystem policy problem is embedded. Response of the SES to each candidate institution must be modeled and treated as a stochastic process with unknown parameters to be estimated. A fundamental challenge is to design institutions that are not vulnerable to capture by subsets of the community that self-organize to direct the institution against the overall social interest. In a world of episodic structural change, such as SESs, adaptive learning can lock in to a single institution, model, or parameter estimate. Policy diversification, leading to escape from panacea traps, can come from monitoring indicators of episodic change on slow timescales, minimax regret decision making, active experimentation to accelerate model identification, mechanisms for broadening the set of models or institutions under consideration, and processes for discovery of new institutions and technologies for ecosystem management. It is difficult to take all of these factors into account, but the discipline that comes with the attempt to model the coupled social–ecological dynamics forces policy makers to confront all conceivable responses. This process helps induce the modesty needed to avoid panacea traps while supporting systematic effort to improve resource management in the public interest. PMID:17881581
From Learning Organization to Learning Community: Sustainability through Lifelong Learning
ERIC Educational Resources Information Center
Kearney, Judith; Zuber-Skerritt, Ortrun
2012-01-01
Purpose: This paper aims to: extend the concept of "The learning organization" to "The learning community," especially disadvantaged communities; demonstrate how leaders in a migrant community can achieve positive change at the personal, professional, team and community learning levels through participatory action learning and…
Making Embedded Librarians a Part of an Online Community of Learners
ERIC Educational Resources Information Center
Francis, Mary
2012-01-01
This paper will look at the services presently offered to distance students by libraries within the categories of professional staff, access to resources, reference assistance, and library user instruction. It will then offer the argument that these services could be improved by developing embedded librarians within online academic courses as a…
Engineering the Future: Embedding Engineering Permanently across the School-University Interface
ERIC Educational Resources Information Center
MacBride, G.; Hayward, E. L.; Hayward, G.; Spencer, E.; Ekevall, E.; Magill, J.; Bryce, A. C.; Stimpson, B.
2010-01-01
This paper describes the design, implementation, and evaluation of an educational program. Engineering the Future (EtF) sought to promote a permanent, informed awareness within the school community of high-level engineering by embedding key aspects of engineering within the education curriculum. The Scottish education system is used for a case…
Guiding Moral Behavior through a Reflective Learning Practice
ERIC Educational Resources Information Center
Hedberg, Patricia R.
2017-01-01
Reflective learning practice embedded across the business curriculum is a powerful way to equip students with intentionally formed moral habits of the mind and heart. This article explores why and how to apply reflective learning to the teaching of business ethics. To act with integrity in complicated work organizations, students need skills and…
Cross Relationships between Cognitive Styles and Learner Variables in Online Learning Environment
ERIC Educational Resources Information Center
Oh, Eunjoo; Lim, Doohun
2005-01-01
This study examines how students' cognitive styles are correlated with their attitudes toward online education and learning behaviors in online learning environments. The Group Embedded Figures Test (GEFT) and the attitude survey toward online instruction were administered to 104 students enrolled in various online courses at the University of…
Workplace Learning and Higher Education in Finland: Reflections on Current Practice
ERIC Educational Resources Information Center
Virolainen, Maarit
2007-01-01
Purpose: The purpose of this article is to describe the organization of workplace learning in Finnish polytechnics, the models that have been developed for this purpose, and the challenges presented. Design/methodology/approach: First, the models for embedding workplace learning in the curriculum are described and analysed. Second, the conflicting…
Design It Yourself (DIY): In-House Instructional Design for Online Pharmacology
ERIC Educational Resources Information Center
Loftus, Jay; Stavraky, Tom; Urquhart, Bradley L.
2014-01-01
Demand for e-learning courses has risen dramatically placing pressure on institutions to offer more online courses. Third party vendors now offer courses that can be embedded directly into learning management systems. When transitioning from in-class to e-learning formats, instructors must decide whether to use commercially available courses or…
ERIC Educational Resources Information Center
Hughes, Karen; Mylonas, Aliisa; Benckendorff, Pierre
2013-01-01
This paper compares four work-integrated learning (WIL) streams embedded in a professional Development course for tourism, hospitality and event management students. Leximancer was used to analyze key themes emerging from reflective portfolios completed by the 137 students in the course. Results highlight that student learning outcomes and…
Embedded Managers in Informal Learning Spaces
ERIC Educational Resources Information Center
Raisin, Victoria; Fennewald, Joseph
2016-01-01
Many universities have decided to invest in updating their informal learning spaces. One decision to be made in planning the space is how to staff it. The researchers carried out a qualitative case study to better understand the perspective of learning space managers who work in offices within their assigned space. The research generated six…
Weather, Climate, Web 2.0: 21st Century Students Speak Climate Science Well
ERIC Educational Resources Information Center
Sundberg, Cheryl White; Kennedy, Teresa; Odell, Michael R. L.
2013-01-01
Problem-based learning (PBL) and inquiry learning (IL) employ extensive scaffolding that results in cognitive load reduction and allows students to learn in complex domains. Hybrid teacher professional development models (PDM) using 21st century social collaboration tools embedding PBL and IL shows promise as a systemic approach for increasing…
Storytelling: Learning to Read as Social and Cultural Processes
ERIC Educational Resources Information Center
Bloome, David; Kim, Minjeong
2016-01-01
The argument here is that learning to read for young people in school is not a monolithic process but, rather, consists of multiple and differentiated pathways involving the acquisition of diverse reading practices and cultural ideologies embedded in a broad range of social and cultural contexts. Such a view of learning to read entails…
Learning Computerese: The Role of Second Language Learning Aptitude in Technology Acceptance
ERIC Educational Resources Information Center
Warner, Janis A.; Koufteros, Xenophon; Verghese, Anto
2014-01-01
This article introduces a new construct coined as Computer User Learning Aptitude (CULA). To establish construct validity, CULA is embedded in a nomological network that extends the technology acceptance model (TAM). Specifically, CULA is posited to affect perceived usefulness and perceived ease of use, the two underlying TAM constructs.…
ERIC Educational Resources Information Center
Murphy, Janet; Lebans, Robert
2009-01-01
Providing just-in-time job-embedded professional learning using a technologically mediated model achieves professional growth goals and encourages teachers to build digital literacy competencies and incorporate new technologies in instructional approaches in the classroom. This article highlights the lessons learned from an award-winning…
Embedding Mixed-Reality Laboratories into E-Learning Systems for Engineering Education
ERIC Educational Resources Information Center
Al-Tikriti, Munther N.; Al-Aubidy, Kasim M.
2013-01-01
E-learning, virtual learning and mixed reality techniques are now a global integral part of the academic and educational systems. They provide easier access to educational opportunities to a very wide spectrum of individuals to pursue their educational and qualification objectives. These modern techniques have the potentials to improve the quality…
ERIC Educational Resources Information Center
Cameron, Ian; Crosthwaite, Caroline; Norton, Christine; Balliu, Nicoleta; Tadé, Moses; Hoadley, Andrew; Shallcross, David; Barton, Geoff
2008-01-01
This work presents a unique education resource for both process engineering students and the industry workforce. The learning environment is based around spherical imagery of real operating plants coupled with interactive embedded activities and content. This Virtual Reality (VR) learning tool has been developed by applying aspects of relevant…
Enhancing Industry Engagement with Work-Integrated Learning: Capacity Building for Industry Partners
ERIC Educational Resources Information Center
Ferns, Sonia; Russell, Leonie; Kay, Judie
2016-01-01
Work-integrated learning (WIL) enables the embedding of relevant real-world learning into curriculum resulting in students that are better prepared to enter the workforce and meet demands of employers seeking work-ready graduates. Research confirms students who undertake WIL as part of their degree consistently achieve better employment outcomes.…
Job-Embedded Professional Learning Essential to Improving Teaching and Learning in Early Education
ERIC Educational Resources Information Center
Pacchiano, Debra; Klein, Rebecca; Hawley, Marsha Shigeyo
2016-01-01
Improving classroom teaching improves children's learning outcomes. In pursuit of those goals, the early education field has made substantial investments aimed at increasing the quality of classroom environments and teacher-child interactions. Yet, in publicly funded programs across the country, the quality of instruction remains low and…
Emotionality and Learning Stories: Documenting How We Learn What We Feel
ERIC Educational Resources Information Center
Steele, Astrid; Scott, Jeff
2016-01-01
Based on a three-year research project in which outdoor and environmental education were embedded in classroom curricula, this paper considers learning story pedagogy and accompanying emotional elements often found in narratives. We draw on neuroscience research findings that support the importance of emotion in focusing attention and supporting…
Embedded Incremental Feature Selection for Reinforcement Learning
2012-05-01
Prior to this work, feature selection for reinforce- ment learning has focused on linear value function ap- proximation ( Kolter and Ng, 2009; Parr et al...InProceed- ings of the the 23rd International Conference on Ma- chine Learning, pages 449–456. Kolter , J. Z. and Ng, A. Y. (2009). Regularization and feature
The Effects of Variations in Lesson Control and Practice on Learning from Interactive Video.
ERIC Educational Resources Information Center
Hannafin, Michael J.; Colamaio, MaryAnne E.
1987-01-01
Discussion of the effects of variations in lesson control and practice on the learning of facts, procedures, and problem-solving skills during interactive video instruction focuses on a study of graduates and advanced level undergraduates learning cardiopulmonary resuscitation (CPR). Embedded questioning methods and posttests used are described.…
Self-Learning Embedded System for Object Identification in Intelligent Infrastructure Sensors.
Villaverde, Monica; Perez, David; Moreno, Felix
2015-11-17
The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor's infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc.
Embedding Enterprise Education into the Curriculum at a Research-Led University
ERIC Educational Resources Information Center
Smith, Kelly
2008-01-01
Purpose: E[superscript 3], standing for Embedding Enterprise Education, started in August 2006 as a HEIF3 funded initiative to promote the learning and teaching of enterprise or entrepreneurship across all subject areas of the University of Birmingham. This paper aims to explore how the initiative was marketed to academic Schools at a time when…
ERIC Educational Resources Information Center
Atasoy, Sengül; Ergin, Serap
2017-01-01
Background: A substantial review study of concept cartoons reports that few studies have indicated their functions. For this reason, the present study illuminates the extent to which concept cartoon-embedded worksheets (through constructivist context) accomplish these functions in conceptual learning. Purpose: The purpose of the study is to…
ERIC Educational Resources Information Center
Koshino, Makoto; Kojima, Yuki; Kanedera, Noboru
2013-01-01
Educational materials of embedded systems are currently used in many educational institutions. However, they have difficulties in arousing the interest of students. One of the reasons is that a poor CPU (central processing unit), which has been loaded in the current materials, cannot execute the multimedia processing. In order to make the…
The Game Embedded CALL System to Facilitate English Vocabulary Acquisition and Pronunciation
ERIC Educational Resources Information Center
Young, Shelley Shwu-Ching; Wang, Yi-Hsuan
2014-01-01
The aim of this study is to make a new attempt to explore the potential of integrating game strategies with automatic speech recognition technologies to provide learners with individual opportunities for English pronunciation learning. The study developed the Game Embedded CALL (GeCALL) system with two activities for on-line speaking practice. For…
ERIC Educational Resources Information Center
Heinrich, Sara; Collins, Belva C.; Knight, Victoria; Spriggs, Amy D.
2016-01-01
Effects of an embedded simultaneous prompting procedure to teach STEM (science, technology, engineering, math) content to three secondary students with moderate intellectual disabilities in an inclusive general education classroom were evaluated in the current study. Students learned discrete (i.e., geometric figures, science vocabulary, or use of…
ERIC Educational Resources Information Center
Moore, John W.; Mitchem, Cheryl E.
2004-01-01
This paper provides a model of course-embedded assessment for use in an undergraduate Accounting Information Systems course, and reports the results obtained from implementation. The profession's educational objectives are mapped to specific computer skills and assignments, to provide direct evidence of learning outcomes. Indirect evidence of…
ERIC Educational Resources Information Center
Cohen, Edward Charles
2013-01-01
Design based research was utilized to investigate how students use a greenhouse effect simulation in order to derive best learning practices. During this process, students recognized the authentic scientific process involving computer simulations. The simulation used is embedded within an inquiry-based technology-mediated science curriculum known…
Introduction for Freshmen to Embedded Systems Using LEGO Mindstorms
ERIC Educational Resources Information Center
Kim, Seung Han; Jeon, Jae Wook
2009-01-01
The purpose of the course presented here is to introduce freshmen to embedded systems using LEGO Mindstorms, under an ANSI-C programming environment. The students build their own LEGO robots, make programs for them using ANSI-C, and operate them. By creating these LEGO robots, the students become more motivated, learning the basic concepts of…
Semantics Boosts Syntax in Artificial Grammar Learning Tasks with Recursion
ERIC Educational Resources Information Center
Fedor, Anna; Varga, Mate; Szathmary, Eors
2012-01-01
Center-embedded recursion (CER) in natural language is exemplified by sentences such as "The malt that the rat ate lay in the house." Parsing center-embedded structures is in the focus of attention because this could be one of the cognitive capacities that make humans distinct from all other animals. The ability to parse CER is usually…
Friedmann, Simon; Frémaux, Nicolas; Schemmel, Johannes; Gerstner, Wulfram; Meier, Karlheinz
2013-01-01
In this study, we propose and analyze in simulations a new, highly flexible method of implementing synaptic plasticity in a wafer-scale, accelerated neuromorphic hardware system. The study focuses on globally modulated STDP, as a special use-case of this method. Flexibility is achieved by embedding a general-purpose processor dedicated to plasticity into the wafer. To evaluate the suitability of the proposed system, we use a reward modulated STDP rule in a spike train learning task. A single layer of neurons is trained to fire at specific points in time with only the reward as feedback. This model is simulated to measure its performance, i.e., the increase in received reward after learning. Using this performance as baseline, we then simulate the model with various constraints imposed by the proposed implementation and compare the performance. The simulated constraints include discretized synaptic weights, a restricted interface between analog synapses and embedded processor, and mismatch of analog circuits. We find that probabilistic updates can increase the performance of low-resolution weights, a simple interface between analog synapses and processor is sufficient for learning, and performance is insensitive to mismatch. Further, we consider communication latency between wafer and the conventional control computer system that is simulating the environment. This latency increases the delay, with which the reward is sent to the embedded processor. Because of the time continuous operation of the analog synapses, delay can cause a deviation of the updates as compared to the not delayed situation. We find that for highly accelerated systems latency has to be kept to a minimum. This study demonstrates the suitability of the proposed implementation to emulate the selected reward modulated STDP learning rule. It is therefore an ideal candidate for implementation in an upgraded version of the wafer-scale system developed within the BrainScaleS project.
Friedmann, Simon; Frémaux, Nicolas; Schemmel, Johannes; Gerstner, Wulfram; Meier, Karlheinz
2013-01-01
In this study, we propose and analyze in simulations a new, highly flexible method of implementing synaptic plasticity in a wafer-scale, accelerated neuromorphic hardware system. The study focuses on globally modulated STDP, as a special use-case of this method. Flexibility is achieved by embedding a general-purpose processor dedicated to plasticity into the wafer. To evaluate the suitability of the proposed system, we use a reward modulated STDP rule in a spike train learning task. A single layer of neurons is trained to fire at specific points in time with only the reward as feedback. This model is simulated to measure its performance, i.e., the increase in received reward after learning. Using this performance as baseline, we then simulate the model with various constraints imposed by the proposed implementation and compare the performance. The simulated constraints include discretized synaptic weights, a restricted interface between analog synapses and embedded processor, and mismatch of analog circuits. We find that probabilistic updates can increase the performance of low-resolution weights, a simple interface between analog synapses and processor is sufficient for learning, and performance is insensitive to mismatch. Further, we consider communication latency between wafer and the conventional control computer system that is simulating the environment. This latency increases the delay, with which the reward is sent to the embedded processor. Because of the time continuous operation of the analog synapses, delay can cause a deviation of the updates as compared to the not delayed situation. We find that for highly accelerated systems latency has to be kept to a minimum. This study demonstrates the suitability of the proposed implementation to emulate the selected reward modulated STDP learning rule. It is therefore an ideal candidate for implementation in an upgraded version of the wafer-scale system developed within the BrainScaleS project. PMID:24065877
On the biogeography of salt limitation: A study of ant communities
Kaspari, Michael; Yanoviak, Stephen P.; Dudley, Robert
2008-01-01
Sodium is an essential nutrient whose deposition in rainfall decreases with distance inland. The herbivores and microbial decomposers that feed on sodium-poor vegetation should be particularly constrained along gradients of decreasing sodium. We studied the use of sucrose and NaCl baits in 17 New World ant communities located 4–2757 km inland. Sodium use was higher in genera and subfamilies characterized as omnivores/herbivores compared with those classified as carnivores and was lower in communities embedded in forest litter than in those embedded in abundant vegetation. Sodium use was increased in ant communities further inland, as was preference for the baits with the highest sodium concentration. Sucrose use, a measure of ant activity, peaked in communities 10–100 km inland. We suggest that the geography of ant activity is shaped by sodium toxicity near the shore and by sodium deficit farther inland. Given the importance of ants in terrestrial ecosystems, changing patterns of rainfall with global change may ramify through inland food webs. PMID:19004798
Learning around Town: Learning Communities in Australia.
ERIC Educational Resources Information Center
Henderson, Liz; Castles, Rachel; McGrath, Majella; Brown, Tony
This booklet explains the features and benefits of learning communities and summarizes Australia's experience with them. Part 1 traces the history of learning communities from the 1970s through the present, presents several definitions of the term "learning community," lists reasons for becoming a learning community, and explains the…
Comparison as a Universal Learning Action
ERIC Educational Resources Information Center
Merkulova, T. V.
2016-01-01
This article explores "comparison" as a universal metasubject learning action, a key curricular element envisaged by the Russian Federal State Educational Standards. Representing the modern learner's fundamental pragmatic skill embedding such core capacities as information processing, critical thinking, robust decision-making, and…
Embedding spiritual value through science learning
NASA Astrophysics Data System (ADS)
Johan, H.; Suhandi, A.; Wulan, A. R.; Widiasih; Ruyani, A.; Karyadi, B.; Sipriyadi
2018-05-01
The purpose of this study was to embed spiritual value through science learning program especially earth planet. Various phenomena in earth planet describe a divinity of super power. This study used quasi experimental method with one group pre-test-post-test design. Convenience sampling was conducted in this study. 23 pre-service physics teacher was involved. Pre-test and post-test used a questionnaire had been conducted to collected data of spiritual attitude. Open ended question had been utilized at post-test to collected data. A fourth indicators of spiritual value related to divinity of God was used to embed spiritual value. The results show a shifted of students’ awareness to divinity of God. Before implementing the earth planet learning, 85.8% of total students strongly agree that learning activity embed spiritual value while after learning process, it increased be 93.4%. After learning earth planet, it known that students’ spiritual value was influenced by character of earth planet concept which unobservable and media visual which display each incredible phenomena process in our earth planet. It can be concluded that spiritual value can be embedded through unobservable phenomena of during learning earth planet process.
Learning Community and Nonlearning Community Students in a Midwestern Community College
ERIC Educational Resources Information Center
Laanan, Frankie Santos; Jackson, Dimitra Lynette; Stebleton, Michael J.
2013-01-01
The research on learning communities has focused primarily on students at four-year colleges and universities. There is a dearth of studies that examine learning communities in community colleges. The purpose of this comparative study was to conduct an analysis of learning community and nonlearning community students in a community college located…
Robust Arm and Hand Tracking by Unsupervised Context Learning
Spruyt, Vincent; Ledda, Alessandro; Philips, Wilfried
2014-01-01
Hand tracking in video is an increasingly popular research field due to the rise of novel human-computer interaction methods. However, robust and real-time hand tracking in unconstrained environments remains a challenging task due to the high number of degrees of freedom and the non-rigid character of the human hand. In this paper, we propose an unsupervised method to automatically learn the context in which a hand is embedded. This context includes the arm and any other object that coherently moves along with the hand. We introduce two novel methods to incorporate this context information into a probabilistic tracking framework, and introduce a simple yet effective solution to estimate the position of the arm. Finally, we show that our method greatly increases robustness against occlusion and cluttered background, without degrading tracking performance if no contextual information is available. The proposed real-time algorithm is shown to outperform the current state-of-the-art by evaluating it on three publicly available video datasets. Furthermore, a novel dataset is created and made publicly available for the research community. PMID:25004155
Baldwin, Constance D; Gusic, Maryellen E; Chandran, Latha
2017-08-01
A sizeable literature describes the effectiveness of institution-based faculty development programs in nurturing faculty educators as scholars, but national programs are less common and seldom evaluated. To fill this role, the Educational Scholars Program (ESP) was created within the Academic Pediatric Association (APA) in 2006. It is a national, three-year, cohort-based certification program focused on fostering educational scholarship. This article describes the development and outcomes of an innovative program embedded within the framework of a national professional organization, and offers a model for potential adaptation by similar organizations to enhance their support of educators.After 10 years, 171 scholars have enrolled in the ESP, and 50 faculty have participated. Scholars are assigned a faculty advisor and participate in three full-day sessions at a national meeting; online, interactive learning modules; and a mentored, scholarly project. The program receives support from the APA in four organizational frames: structural, human resource, political, and symbolic. The self-perceived scholarly proficiency of the scholars in Cohort 1 increased significantly over time, and their productivity and collaborations increased during and after the program. Scholars wrote enthusiastically about their experience in yearly and postprogram evaluations. In interviews, eight past APA presidents explained that the ESP strengthened the APA's mission, created new leaders, and provided a new model for other APA programs. Outcomes of the ESP suggest that a longitudinal faculty development program embedded within a national professional organization can create a social enterprise not only within the organization but also within the broader national community of educator-scholars.
Embedding Open-domain Common-sense Knowledge from Text
Goodwin, Travis; Harabagiu, Sanda
2017-01-01
Our ability to understand language often relies on common-sense knowledge – background information the speaker can assume is known by the reader. Similarly, our comprehension of the language used in complex domains relies on access to domain-specific knowledge. Capturing common-sense and domain-specific knowledge can be achieved by taking advantage of recent advances in open information extraction (IE) techniques and, more importantly, of knowledge embeddings, which are multi-dimensional representations of concepts and relations. Building a knowledge graph for representing common-sense knowledge in which concepts discerned from noun phrases are cast as vertices and lexicalized relations are cast as edges leads to learning the embeddings of common-sense knowledge accounting for semantic compositionality as well as implied knowledge. Common-sense knowledge is acquired from a vast collection of blogs and books as well as from WordNet. Similarly, medical knowledge is learned from two large sets of electronic health records. The evaluation results of these two forms of knowledge are promising: the same knowledge acquisition methodology based on learning knowledge embeddings works well both for common-sense knowledge and for medical knowledge Interestingly, the common-sense knowledge that we have acquired was evaluated as being less neutral than than the medical knowledge, as it often reflected the opinion of the knowledge utterer. In addition, the acquired medical knowledge was evaluated as more plausible than the common-sense knowledge, reflecting the complexity of acquiring common-sense knowledge due to the pragmatics and economicity of language. PMID:28649676
ERIC Educational Resources Information Center
Wong, Sandie
2009-01-01
In late 2006, SDN Children's Services, an Australian not-for-profit provider of services for children, families and communities, engaged a research team that was "embedded" within the organisation for 1 year. This action represented a significant investment of resources, such as staff time and organisational funds, and demonstrates SDN's…
Wright, Victoria Ann; Vaughan, Brendan W; Laurent, Thomas; Lopez, Rodrigo; Brooksbank, Cath; Schneider, Maria Victoria
2010-11-01
Today's molecular life scientists are well educated in the emerging experimental tools of their trade, but when it comes to training on the myriad of resources and tools for dealing with biological data, a less ideal situation emerges. Often bioinformatics users receive no formal training on how to make the most of the bioinformatics resources and tools available in the public domain. The European Bioinformatics Institute, which is part of the European Molecular Biology Laboratory (EMBL-EBI), holds the world's most comprehensive collection of molecular data, and training the research community to exploit this information is embedded in the EBI's mission. We have evaluated eLearning, in parallel with face-to-face courses, as a means of training users of our data resources and tools. We anticipate that eLearning will become an increasingly important vehicle for delivering training to our growing user base, so we have undertaken an extensive review of Learning Content Management Systems (LCMSs). Here, we describe the process that we used, which considered the requirements of trainees, trainers and systems administrators, as well as taking into account our organizational values and needs. This review describes the literature survey, user discussions and scripted platform testing that we performed to narrow down our choice of platform from 36 to a single platform. We hope that it will serve as guidance for others who are seeking to incorporate eLearning into their bioinformatics training programmes.
A review on the application of deep learning in system health management
NASA Astrophysics Data System (ADS)
Khan, Samir; Yairi, Takehisa
2018-07-01
Given the advancements in modern technological capabilities, having an integrated health management and diagnostic strategy becomes an important part of a system's operational life-cycle. This is because it can be used to detect anomalies, analyse failures and predict the future state based on up-to-date information. By utilising condition data and on-site feedback, data models can be trained using machine learning and statistical concepts. Once trained, the logic for data processing can be embedded on on-board controllers whilst enabling real-time health assessment and analysis. However, this integration inevitably faces several difficulties and challenges for the community; indicating the need for novel approaches to address this vexing issue. Deep learning has gained increasing attention due to its potential advantages with data classification and feature extraction problems. It is an evolving research area with diverse application domains and hence its use for system health management applications must been researched if it can be used to increase overall system resilience or potential cost benefits for maintenance, repair, and overhaul activities. This article presents a systematic review of artificial intelligence based system health management with an emphasis on recent trends of deep learning within the field. Various architectures and related theories are discussed to clarify its potential. Based on the reviewed work, deep learning demonstrates plausible benefits for fault diagnosis and prognostics. However, there are a number of limitations that hinder its widespread adoption and require further development. Attention is paid to overcoming these challenges, with future opportunities being enumerated.
Embedding Community Engagement in South African Higher Education
ERIC Educational Resources Information Center
Lazarus, Josef; Erasmus, Mabel; Hendricks, Denver; Nduna, Joyce; Slamat, Jerome
2008-01-01
Community engagement was a relatively unknown concept in South African higher education until the late 1990s. In response to the call of the White Paper on the Transformation of Higher Education (1997) for "feasibility studies and pilot programmes which explore the potential of community service in higher education" the Joint Education…
Deaf in the time of the cochlea.
Humphries, Tom; Humphries, Jacqueline
2011-01-01
The American Deaf community for several decades has been involved in sometimes complicated and often contested ways of defining what it means to be Deaf. It is our thesis that the processes of identity construction and the recent discourse of Deaf identity are not unique phenomena at all but echo the experience of other embedded cultural groups around the world, particularly those that are stressed by the assertion of hegemony over them by others. We turn to 2 particular theorists, Jose Martí and W. E. B. DuBois, to help us understand both the dilemmas that Deaf people face and the possible solutions that they propose. This article argues that identities are constructed not just within Deaf communities but within the social contexts in which Deaf communities are embedded.
How physicians teach in the clinical setting: The embedded roles of teaching and clinical care.
Steinert, Yvonne; Basi, Mandeep; Nugus, Peter
2017-12-01
Clinical teaching lies at the heart of medical education. However, few studies have explored the embedded nature of teaching and clinical care. The goal of this study was to examine the process of clinical teaching as it naturally, and spontaneously, unfolds in a broad range of authentic contexts with medical students and residents. This focused ethnographic study consisted of 160 hours of participant observation and field interviews with three internal medicine teams. Thematic analysis guided data organization and interpretation. Three overlapping themes emerged: the interconnectedness between clinical work and pedagogy; a multiplicity of teachers; and the influence of space and artifacts on teaching and learning. Clinical teaching, which was deeply embedded in clinical care, was influenced by the acuity of patient problems, learner needs, and the context in which teaching unfolded; it also occurred on a spectrum that included planned, opportunistic, formal, and informal teaching (and learning). Study findings suggest that clinical teaching, which is marked by an intersection between service and teaching, can be viewed as an example of work-based teaching. They also yield suggestions for the enhancement of clinical teaching in inpatient settings, faculty development, and educational policies that recognize clinical teaching and learning.
Evaluating in political turmoil: nursing challenges in prevention programs.
Laperrière, Hélène
2007-03-01
The concrete insertion of nurses into the context of an inquiry contributes to empirical evaluation research of health promotion programs. As interveners and concrete actors in social movements, nurses are in a privileged position to give realism to a local understanding of the political and cultural context of evaluative research. Drawing on the practice of empirical evaluation research, this paper seeks to generate new methodological approaches in a way that broadens nursing inquiries in community health nursing. It explores new ways of thinking about epistemology and knowledge production in nursing practice. For 5 months an evaluative research project adopting a participatory-action research approach was conducted with local community actors in an AIDS prevention project in Amazonas (Brazil) in a prostitution setting. An auto-ethnographic journal was used as a reflective approach for the critical analysis of nursing research activities. This paper calls for a closer relationship between scientific research settings and the sociopolitical and the sociocultural aspects of nursing practice. It increases an incorporation of popular, social and professional experiential learning and skill acquisition in embedded knowledge production.
Sager, Alan; Selig, Sara; Antonelli, Richard; Morton, Samantha; Hirsch, Gail; Lee, Celeste Reid; Ortiz, Abigail; Fox, Durrell; Lupi, Monica Valdes; Acuff, Cecilia; Wachman, Madeline
2017-01-01
Health professionals, including social workers, community health workers, public health workers, and licensed health care providers, share common interests and responsibilities in promoting health equity and improving social determinants of health—the conditions in which people live, work, play, and learn. We summarize the underlying causes of health inequity and comparatively poor health outcomes in the United States. We describe barriers to realizing the hope embedded in the 2010 Patient Protection and Affordable Care Act, that moving away from fee-for-service payments will naturally drive care upstream as providers respond to greater financial risk by undertaking greater prevention efforts for the health of their patients. We assert that health equity should serve as the guiding framework for achieving the Triple Aim of health care reform and outline practical opportunities for improving care and promoting stronger efforts to address social determinants of health. These proposals include developing a dashboard of measures to assist providers committed to health equity and community-based prevention and to promote institutional accountability for addressing socioeconomic factors that influence health. PMID:29236539
Addressing Diversity in Health Science Students by Enhancing Flexibility through e-Learning
ERIC Educational Resources Information Center
Penman, Joy; Thalluri, Jyothi
2014-01-01
The technological advancements for teaching and learning sciences for health science students are embedded in the Thalluri-Penman Good Practice Model, which aims to improve the learning experiences of science students and increase student retention and success rates. The model also links students from urban and rural areas, studying both on-and…
Learning to Be a Person--East and West
ERIC Educational Resources Information Center
Jarvis, Peter
2013-01-01
This paper falls into two parts--a Western interpretation and an Eastern critique of the same process. The first part provides an interpretation of how we learn to become culturally embedded individuals. The paper notes the learning processes in the formation of the cultural and national self. We, in the West, have traditionally assumed that the…
Embedding Diagnostic Mechanisms in a Digital Game for Learning Mathematics
ERIC Educational Resources Information Center
Huang, Yueh-Min; Huang, Shu-Hsien; Wu, Ting-Ting
2014-01-01
Mathematics is closely related to daily life, but it is also one of the lessons which often cause anxiety to primary school students. Digital game-based learning (DGBL) has been regarded as a sound learning strategy in raising learner willingness and interest in many disciplines. Thus, ways of designing a DGBL system to mitigate anxiety are well…
ERIC Educational Resources Information Center
Chatzara, K.; Karagiannidis, C.; Stamatis, D.
2016-01-01
This paper presents an anthropocentric approach in human-machine interaction in the area of self-regulated e-learning. In an attempt to enhance communication mediated through computers for pedagogical use we propose the incorporation of an intelligent emotional agent that is represented by a synthetic character with multimedia capabilities,…
Open Doors, Open Minds: Empowered Teachers Work and Learn Shoulder to Shoulder
ERIC Educational Resources Information Center
Hudson, Marcia; Childs, Lauren; Carver, Cynthia L.
2016-01-01
In this article the authors share their experience of Teacher Lab, a job-embedded form of professional learning that has been a critical addition to professional learning practice for nearly a decade in the Avondale School District in Auburn Hills, Michigan. Using a full-day released time format, Teacher Lab combines preobservation dialogue and…
Making a Low Cost Candy Floss Kit Gets Students Excited about Learning Physics
ERIC Educational Resources Information Center
Amir, Nazir; Subramaniam, R.
2009-01-01
An activity to excite kinaesthetically inclined students about learning physics is described in this article. Using only commonly available materials, a low cost candy floss kit is fabricated by students. A number of physics concepts are embedded contextually in the activity so that students get to learn these concepts in a real world setting…
ERIC Educational Resources Information Center
Tan, Po-Li
2011-01-01
This article aims to provide evidence that "rote learning" or "memorisation" is a complex construct and is deeply embedded in the East Asian culture. An in-depth understanding of this learning approach is increasingly crucial considering the complex demography of contemporary higher education nowadays. Not only is there a rise…
Addressing Barriers to Learning. Volume 13, Number 2. Spring 2008
ERIC Educational Resources Information Center
Center for Mental Health in Schools at UCLA, 2008
2008-01-01
Concern about responding to behavior problems and promoting social and emotional learning are related and are embedded into the arenas we frame to encompass the content of student/learning supports. How these concerns are addressed is critical to the type of school and classroom climate that emerges and to student engagement and re-engagement in…
ERIC Educational Resources Information Center
Brown, Elinor L.
2005-01-01
This five-year study examined the effectiveness of an innovative approach to service-learning embedded in a one year site-based alternative route to teacher certification. The ten-week school-based study investigated the influence of service-learning on the multicultural perceptions, cross-cultural communication skills, and social justice…
Chinese View of Learning and Implications for Developing Human Resources
ERIC Educational Resources Information Center
Yang, Baiyin; Zheng, Wei; Li, Mingfei
2006-01-01
Chinese society has a unique view of teaching and learning that has evolved from its long history and is heavily embedded in its social and cultural roots. However, no systematic effort has been made to outline how cultural factors such as values and beliefs influence learning. This paper identifies traditional Chinese values and beliefs in…
Semantic Annotation of Resources to Learn with Connected Things
ERIC Educational Resources Information Center
Bouchereau, Aymeric; Roxin, Ioan
2017-01-01
Computer systems tend to be ubiquitous as they become more integrated in our everyday activities, embedded in tables, shoes, watch and plenty of others connected things (CT). In the e-learning field, the transformations induced by the Internet of Things (IoT) allow individuals to learn whenever they want, accessing a quantity of diverse digital…
ERIC Educational Resources Information Center
Matthew, Anne; Butler, Des
2017-01-01
In Australian law schools didactic pedagogies such as lectures devoted to the transmission of theory and knowledge to a largely passive audience still predominate. However, curriculum design embedding authentic learning pedagogies has been shown to be supportive of student learning. The challenge in adopting such curriculum design is how to offer…
Dai, Hanjun; Umarov, Ramzan; Kuwahara, Hiroyuki; Li, Yu; Song, Le; Gao, Xin
2017-11-15
An accurate characterization of transcription factor (TF)-DNA affinity landscape is crucial to a quantitative understanding of the molecular mechanisms underpinning endogenous gene regulation. While recent advances in biotechnology have brought the opportunity for building binding affinity prediction methods, the accurate characterization of TF-DNA binding affinity landscape still remains a challenging problem. Here we propose a novel sequence embedding approach for modeling the transcription factor binding affinity landscape. Our method represents DNA binding sequences as a hidden Markov model which captures both position specific information and long-range dependency in the sequence. A cornerstone of our method is a novel message passing-like embedding algorithm, called Sequence2Vec, which maps these hidden Markov models into a common nonlinear feature space and uses these embedded features to build a predictive model. Our method is a novel combination of the strength of probabilistic graphical models, feature space embedding and deep learning. We conducted comprehensive experiments on over 90 large-scale TF-DNA datasets which were measured by different high-throughput experimental technologies. Sequence2Vec outperforms alternative machine learning methods as well as the state-of-the-art binding affinity prediction methods. Our program is freely available at https://github.com/ramzan1990/sequence2vec. xin.gao@kaust.edu.sa or lsong@cc.gatech.edu. Supplementary data are available at Bioinformatics online. © The Author(s) 2017. Published by Oxford University Press.
Neuro-symbolic representation learning on biological knowledge graphs.
Alshahrani, Mona; Khan, Mohammad Asif; Maddouri, Omar; Kinjo, Akira R; Queralt-Rosinach, Núria; Hoehndorf, Robert
2017-09-01
Biological data and knowledge bases increasingly rely on Semantic Web technologies and the use of knowledge graphs for data integration, retrieval and federated queries. In the past years, feature learning methods that are applicable to graph-structured data are becoming available, but have not yet widely been applied and evaluated on structured biological knowledge. Results: We develop a novel method for feature learning on biological knowledge graphs. Our method combines symbolic methods, in particular knowledge representation using symbolic logic and automated reasoning, with neural networks to generate embeddings of nodes that encode for related information within knowledge graphs. Through the use of symbolic logic, these embeddings contain both explicit and implicit information. We apply these embeddings to the prediction of edges in the knowledge graph representing problems of function prediction, finding candidate genes of diseases, protein-protein interactions, or drug target relations, and demonstrate performance that matches and sometimes outperforms traditional approaches based on manually crafted features. Our method can be applied to any biological knowledge graph, and will thereby open up the increasing amount of Semantic Web based knowledge bases in biology to use in machine learning and data analytics. https://github.com/bio-ontology-research-group/walking-rdf-and-owl. robert.hoehndorf@kaust.edu.sa. Supplementary data are available at Bioinformatics online. © The Author(s) 2017. Published by Oxford University Press.
ERIC Educational Resources Information Center
Jones, Julie Scott; Goldring, John E.
2017-01-01
The issue of poor statistical literacy amongst undergraduates in the United Kingdom is well documented. At university level, where poor statistics skills impact particularly on social science programmes, embedding is often used as a remedy. However, embedding represents a surface approach to the problem. It ignores the barriers to learning that…
ERIC Educational Resources Information Center
Hussey, Maureen P.
2013-01-01
This study was an exploration of the steps school leaders take when creating site-based professional support for school-based staff. The objective was to learn the steps taken by school leaders to implement job-embedded professional development practices and to identify the impact those steps had on the teachers, the students, and the school…
ERIC Educational Resources Information Center
Stroup, Walter M.; Wilensky, Uri
2014-01-01
Placed in the larger context of broadening the engagement with systems dynamics and complexity theory in school-aged learning and teaching, this paper is intended to introduce, situate, and illustrate--with results from the use of network supported participatory simulations in classrooms--a stance we call "embedded complementarity" as an…
ERIC Educational Resources Information Center
Karl, Jennifer; Collins, Belva C.; Hager, Karen D.; Ault, Melinda Jones
2013-01-01
The purpose of this study was to investigate the effects of a simultaneous prompting procedure in teaching four secondary students with moderate intellectual disability to acquire and generalize core content embedded in a functional activity. Data gathered within the context of a multiple probe design revealed that all participants learned the…
The I3E Model for Embedding Education for Sustainability within Higher Education Institutions
ERIC Educational Resources Information Center
Cebrián, Gisela
2018-01-01
This paper presents an evidence-based model (the I3E model) for embedding education for sustainability (EfS) within a higher education institution. This model emerged from a doctoral research that examined organisational learning and change processes at the University of Southampton to build EfS into the university curriculum. The researcher aimed…
ERIC Educational Resources Information Center
Barboza, Gustavo A.; Pesek, James
2012-01-01
Assessment of the business curriculum and its learning goals and objectives has become a major field of interest for business schools. The exploratory results of the authors' model using a sample of 173 students show robust support for the hypothesis that high marks in course-embedded assessment on business-specific analytical skills positively…
Characteristics of Effective Professional Development: A Checklist
ERIC Educational Resources Information Center
Hunzicker, Jana
2010-01-01
This article summarizes current research on effective professional development and offers a checklist for school leaders to use when designing learning opportunities for teachers. Effective professional development engages teachers in learning opportunities that are supportive, job-embedded, instructionally-focused, collaborative, and ongoing.…
Huang, Yingxiang; Lee, Junghye; Wang, Shuang; Sun, Jimeng; Liu, Hongfang; Jiang, Xiaoqian
2018-05-16
Data sharing has been a big challenge in biomedical informatics because of privacy concerns. Contextual embedding models have demonstrated a very strong representative capability to describe medical concepts (and their context), and they have shown promise as an alternative way to support deep-learning applications without the need to disclose original data. However, contextual embedding models acquired from individual hospitals cannot be directly combined because their embedding spaces are different, and naive pooling renders combined embeddings useless. The aim of this study was to present a novel approach to address these issues and to promote sharing representation without sharing data. Without sacrificing privacy, we also aimed to build a global model from representations learned from local private data and synchronize information from multiple sources. We propose a methodology that harmonizes different local contextual embeddings into a global model. We used Word2Vec to generate contextual embeddings from each source and Procrustes to fuse different vector models into one common space by using a list of corresponding pairs as anchor points. We performed prediction analysis with harmonized embeddings. We used sequential medical events extracted from the Medical Information Mart for Intensive Care III database to evaluate the proposed methodology in predicting the next likely diagnosis of a new patient using either structured data or unstructured data. Under different experimental scenarios, we confirmed that the global model built from harmonized local models achieves a more accurate prediction than local models and global models built from naive pooling. Such aggregation of local models using our unique harmonization can serve as the proxy for a global model, combining information from a wide range of institutions and information sources. It allows information unique to a certain hospital to become available to other sites, increasing the fluidity of information flow in health care. ©Yingxiang Huang, Junghye Lee, Shuang Wang, Jimeng Sun, Hongfang Liu, Xiaoqian Jiang. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 16.05.2018.
NASA Astrophysics Data System (ADS)
Hanna, Philip; Allen, Angela; Kane, Russell; Anderson, Neil; McGowan, Aidan; Collins, Matthew; Hutchison, Malcolm
2015-07-01
This paper outlines a means of improving the employability skills of first-year university students through a closely integrated model of employer engagement within computer science modules. The outlined approach illustrates how employability skills, including communication, teamwork and time management skills, can be contextualised in a manner that directly relates to student learning but can still be linked forward into employment. The paper tests the premise that developing employability skills early within the curriculum will result in improved student engagement and learning within later modules. The paper concludes that embedding employer participation within first-year models can help relate a distant notion of employability into something of more immediate relevance in terms of how students can best approach learning. Further, by enhancing employability skills early within the curriculum, it becomes possible to improve academic attainment within later modules.
ERIC Educational Resources Information Center
Randler, Christoph; Kummer, Barbara; Wilhelm, Christian
2012-01-01
The aim of this study was to assess the outcome of a zoo visit in terms of learning and retention of knowledge concerning the adaptations and behavior of vertebrate species. Basis of the work was the concept of implementing zoo visits as an out-of-school setting for formal, curriculum based learning. Our theoretical framework centers on the…
ERIC Educational Resources Information Center
Rapchak, Marcia E.; Brungard, Allison B.; Bergfelt, Theodore W.
2016-01-01
Using the Information Literacy VALUE Rubric provided by the AAC&U, this study compares thirty final capstone assignments in a research course in a learning community with thirty final assignments in from students not in learning communities. Results indicated higher performance of the non-learning community students; however, transfer skills…
Landscape Context Mediates Avian Habitat Choice in Tropical Forest Restoration
Reid, J. Leighton; Mendenhall, Chase D.; Rosales, J. Abel; Zahawi, Rakan A.; Holl, Karen D.
2014-01-01
Birds both promote and prosper from forest restoration. The ecosystem functions birds perform can increase the pace of forest regeneration and, correspondingly, increase the available habitat for birds and other forest-dependent species. The aim of this study was to learn how tropical forest restoration treatments interact with landscape tree cover to affect the structure and composition of a diverse bird assemblage. We sampled bird communities over two years in 13 restoration sites and two old-growth forests in southern Costa Rica. Restoration sites were established on degraded farmlands in a variety of landscape contexts, and each included a 0.25-ha plantation, island treatment (trees planted in patches), and unplanted control. We analyzed four attributes of bird communities including frugivore abundance, nectarivore abundance, migrant insectivore richness, and compositional similarity of bird communities in restoration plots to bird communities in old-growth forests. All four bird community variables were greater in plantations and/or islands than in control treatments. Frugivore and nectarivore abundance decreased with increasing tree cover in the landscape surrounding restoration plots, whereas compositional similarity to old-growth forests was greatest in plantations embedded in landscapes with high tree cover. Migrant insectivore richness was unaffected by landscape tree cover. Our results agree with previous studies showing that increasing levels of investment in active restoration are positively related to bird richness and abundance, but differences in the effects of landscape tree cover on foraging guilds and community composition suggest that trade-offs between biodiversity conservation and bird-mediated ecosystem functioning may be important for prioritizing restoration sites. PMID:24595233
ERIC Educational Resources Information Center
Page, Deb
2012-01-01
The digitized collections of artifacts known as electronic portfolios are creating solutions to a variety of performance improvement needs in ways that are cost-effective and improve both individual and group learning and performance. When social media functionality is embedded in e-portfolios, the tools support collaboration, social learning,…
A reconnaissance of small mammal communities in Garland and Government prairies, Arizona
Joseph L. Ganey; Carol L. Chambers
2011-01-01
Small mammals play key ecological roles in grassland ecosystems, yet little is known regarding small mammal communities in large (>50 km2), high-elevation prairies embedded in ponderosa pine (Pinus ponderosa) forests in north central Arizona. To provide information on community composition and habitat relationships, we live-trapped small mammals on 6 transects in 2...
Playing Games: Do Game Consoles Have a Positive Impact on Girls' Learning Outcomes and Motivation?
ERIC Educational Resources Information Center
Kitching, Lucy; Wheeler, Steve
2013-01-01
Games based learning is currently a hotly debated topic in education and is a fertile field of study (Holmes, 2011; Abrams, 2009). Many schools are exploring ways in which games can be embedded into the curriculum, to enhance learning through deeper engagement and higher levels of motivation (Miller & Robertson, 2010). This paper explores the…
ERIC Educational Resources Information Center
Core, Rachel S.
2017-01-01
This teaching note suggests that a short-term study abroad program embedded within a longer course can be a tool for enhancing global learning. The work uses the Association of American Colleges and Universities (AAC&U) Global Learning VALUE rubric to evaluate student work from a spring break seminar to Shanghai, China. The seminar was…
Psychological Approaches within Sustainable and Global Learning. Think Global Thinkpiece Series 2013
ERIC Educational Resources Information Center
Sander, Jane; Conway, Paula
2013-01-01
In this paper the authors explore what gets in the way of embedding a meaningful global learning curriculum and why some teachers and students find it difficult to engage with global issues. The authors use a psychodynamic model to try and make sense of what some global learning practitioners might find puzzling and frustrating. A psychodynamic…
ERIC Educational Resources Information Center
Chieu, Vu Minh; Herbst, Patricio; Weiss, Michael
2011-01-01
Rich-media representations of teaching using animated cartoons can be effective at stimulating teachers' discussion about practice and hence help them learn productively from one another about their profession. Our research aims to design web-based interactive rich-media virtual settings for teachers to learn to do the practice of teaching. For…
ERIC Educational Resources Information Center
Richard, Gabriela T.
2017-01-01
Games, play, and learning have a long and embedded history that outdates digital games by many years. However, video games, computing, and technology have significant and historically documented diversity issues, which privilege whites and males as content producers, computing and gaming experts, and STEM learners and employees. Many aspects of…
ERIC Educational Resources Information Center
Dellapenna, Amy M.
2017-01-01
Reading is one of the most important foundational skills for academic success, yet the teaching of reading is very complex. There is a need to support teachers with ongoing professional learning for quality literacy instruction. Peer coaching can be a meaningful, personalized, job-embedded form of professional learning for teachers (Robbins,…
ERIC Educational Resources Information Center
Canuteson, Ashley Dyanne
2017-01-01
The developing synergy of legislation and research throughout recent history points to the current momentum behind college and career readiness for every student. Researchers have found that embedding academic content into career education improves student learning. Integrated learning can vary in approach and style and can be adjusted to fit into…
Feeding Forward: Using Feedback to Promote Student Reflection and Learning--A Teaching Model
ERIC Educational Resources Information Center
Quinton, Sarah; Smallbone, Teresa
2010-01-01
Engaging in reflection is a vital part of learning for university students and its practice should be embedded in course design. Feedback on written work can be used as a vehicle for reflection. Both the gift and receipt of feedback and the habit of reflection require practice and capturing this experiential learning can be achieved in a class…
Thomas, Lisa; Bennett, Sue; Lockyer, Lori
2016-09-01
Problem-based learning (PBL) in medical education focuses on preparing independent learners for continuing, self-directed, professional development beyond the classroom. Skills in self-regulated learning (SRL) are important for success in PBL and ongoing professional practice. However, the development of SRL skills is often left to chance. This study presents the investigated outcomes for students when support for the development of SRL was embedded in a PBL medical curriculum. This investigation involved design, delivery and testing of SRL support, embedded into the first phase of a four-year, graduate-entry MBBS degree. The intervention included concept mapping and goal-setting activities through iterative processes of planning, monitoring and reflecting on learning. A mixed-methods approach was used to collect data from seven students to develop case studies of engagement with, and outcomes from, the SRL support. The findings indicate that students who actively engaged with support for SRL demonstrated increases in cognitive and metacognitive functioning. Students also reported a greater sense of confidence in and control over their approaches to learning in PBL. This study advances understanding about how the development of SRL can be integrated into PBL.
ERIC Educational Resources Information Center
Alberta Advanced Education and Technology, 2007
2007-01-01
Because of the important role played by community learning providers, Premier Ed Stelmach asked Canadian Minister of Advanced Education and Technology to increase support for community education and literacy programs. Community Adult Learning Councils and other community providers of adult literacy and family literacy programming are primarily…
ERIC Educational Resources Information Center
Hassan, Aminuddin; Maharoff, Marina; Abiddin, Norhasni Zainal
2014-01-01
This is a preliminary research to obtain information to formulate a problem statement for an overall study of the embedding of soft skills in the program courses in higher learning institutions. This research was conducted in the form of single case and multi-case studies. The research data was attained through mixed methods; the quantitative…
ERIC Educational Resources Information Center
Khan, Mohamed Fazlulla
2013-01-01
L1 habits often tend to interfere with the process of learning a second language. The vowel habits of Arab learners of English are one such interference. Arabic orthography is such that certain vowels indicated by diacritics are often omitted, since an experienced reader of Arabic knows, by habit, the exact vowel sound in each phonetic…
NASA Astrophysics Data System (ADS)
Hvidsten, Connie J.
Connie J. Hvidsten September 2016 Education Secondary Science Teachers Making Sense of Model-Based Classroom Instruction: Understanding the Learning and Learning Pathways Teachers Describe as Supporting Changes in Teaching Practice This dissertation consists of three papers analyzing writings and interviews of experienced secondary science teachers during and after a two-year professional development (PD) program focused on model-based reasoning (MBR). MBR is an approach to science instruction that provides opportunities for students to use conceptual models to make sense of natural phenomena in ways that are similar to the use of models within the scientific community. The aim of this research is to better understand the learning and learning pathways teachers identified as valuable in supporting changes in their teaching practice. To accomplish this aim, the papers analyze the ways teachers 1) ascribe their learning to various aspects of the program, 2) describe what they learned, and 3) reflect on the impact the PD had on their teaching practice. Twenty-one secondary science teachers completed the Innovations in Science Instruction through Modeling (ISIM) program from 2007 through 2009. Commonalities in the written reflections and interview responses led to a set of generalizable findings related to the impacts and outcomes of the PD. The first of the three papers describes elements of the ISIM program that teachers associated with their own learning. One of the most frequently mentioned PD feature was being in the position of an adult learner. Embedding learning in instructional practice by collaboratively developing and revising lessons, and observing the lessons in one-another's classrooms provided a sense of professional community, accountability, and support teachers reported were necessary to overcome the challenges of implementing new pedagogical practices. Additionally, teachers described that opportunities to reflect on their learning and connect their experiences to a larger literature base and rationale helped them negotiate the dissonance occurring as they tried new practices in their own classroom. Teachers associated these elements with learning about both science content and effective instructional pedagogy and producing a level of dissatisfaction with current understanding that motivated their persistence when met with obstacles or struggles. The second of the three papers analyzes what teachers said they learned in the ISIM program. Teachers' reported learning about scientific models, both how they are used in both the scientific community and how they can support students' classroom learning. Additionally, teachers mentioned learning more about the science they taught through interacting with models during the PD and learned more about effective teaching strategies. Teachers also reported learning about themselves as teachers and learners, as well as about the school and classroom contexts that shape their ability to implement new instructional practices. Finally, the third paper draws from interviews occurring a year or more after the program ended to identify how teachers reported changes in their classroom instruction resulting from their ISIM participation. Four of the teachers reported little or no change in classroom practice. Eight teachers described changes to their teaching to incorporate elements of the professional development, but who fell short of adopting model-based reasoning as a core feature of their classroom instruction. Nine teachers expressed a strong understanding of modeling instruction, and its ongoing influence on their classroom instruction.
NASA Astrophysics Data System (ADS)
Parent, Nancy Brossard
This dissertation provides a critical analysis of three informal science education partnerships that resulted from a 2003-2006 National Science Foundation grant titled, "Archaeology Pathways for Native Learners" (ESI-0307858), hosted by the Mashantucket Pequot Museum and Research Center. This dissertation is designed to contribute to understandings of learning processes that occur within and at the intersection of diverse worldviews and knowledge systems, by drawing upon experiences derived from three disparate contexts: 1) The Navajo Nation Museum in Window Rock, Arizona; 2) The A:shiwi A:wan Museum and Heritage Center on the Zuni Reservation in Zuni, New Mexico; and 3) Science learning camps at the Mashantucket Pequot Museum and Research Center for Native youth of southern New England. While informal science education is increasingly moving toward decolonizing and cross-cutting institutional boundaries of learning through critical thinking and real-world applications, the construction of "science" (even within diverse contexts) continues to be framed within a homogenous, predominantly Euro-American perspective. This study analyzes the language of Western science employed in these partnerships, with particular attention to the use of Western/Native binaries that shape perceptions of Native peoples and communities, real or imagined. Connections are drawn to broader nation-state interests in education, science, and the global economy. The role of educational evaluation in these case studies is also critically analyzed, by questioning the ways in which it is constructed, conducted, and evaluated for the purposes of informing future projects and subsequent funding. This study unpacks problems of the dominant language of "expert" knowledge embedded in Western science discourse, and highlights the possibilities of indigenous knowledge systems that can inform Western science frameworks of education and evaluation. Ultimately, this study suggests that research methodologies and epistemologies that acknowledge and integrate indigenous ways of knowing can advance and broaden Western constructions of science, the academy, and educational research and praxis on a national and global scale.
Assessing Adult Learners in Project-Based Learning
ERIC Educational Resources Information Center
Scott, Joyce A.
2016-01-01
Jones International University (JIU) offers online programs from the associate degree to the doctorate. JIU students are working professionals who seek to improve employability and prospects for advancement. Recognizing that learning in adulthood is social and embedded in the learner's life context, JIU designed instruction to give learners…
Linking Science Fiction and Physics Courses
ERIC Educational Resources Information Center
McBride, Krista K.
2016-01-01
Generally, cohorts or learning communities enrich higher learning in students. Learning communities consist of conventionally separate groups of students that meet together with common academic purposes and goals. Types of learning communities include paired courses with concurrent student enrollment, living-learning communities, and faculty…
Twenty-First Century Learning: Communities, Interaction and Ubiquitous Computing
ERIC Educational Resources Information Center
Leh, Amy S.C.; Kouba, Barbara; Davis, Dirk
2005-01-01
Advanced technology makes 21st century learning, communities and interactions unique and leads people to an era of ubiquitous computing. The purpose of this article is to contribute to the discussion of learning in the 21st century. The paper will review literature on learning community, community learning, interaction, 21st century learning and…
ERIC Educational Resources Information Center
Mundel, Karsten; Schugurensky, Daniel
2008-01-01
Many iterations of community based learning employ models, such as consciousness raising groups, cultural circles, and participatory action research. In all of them, learning is a deliberate part of an explicit educational activity. This article explores another realm of community learning: the informal learning that results from volunteering in…
First Generation College Students in STEM: Counter Stories of Success
NASA Astrophysics Data System (ADS)
Hernandez, Carol D.
First-generation community college Science, Technology, Engineering, and Mathematics (STEM) students have unique challenges in transferring to a four-year college. This is especially true for Latin and African American students who may experience multiple challenges, including discrimination, immigration issues and language issues, and sometimes poor academic preparation in their K-12 education. This project used a grounded theory approach to explore through an equity lens the educational journey of seven Los Medanos College students who have successfully transferred to a four-year institution were interviewed. All of these students that participated in this project were former Mathematics Engineering Science Achievement Program (MESA) students at Los Medanos College. The MESA Program is a learning community that provides academic support for "educationally and economically disadvantaged" students so they can excel in math and science, transfer to four-year institutions as majors in math-based fields, and graduate with baccalaureate degrees in STEM majors. Several intervention strategies are embedded into the program, including: counseling, mentors, a learning center, tutors, financial aid and transfer workshops, and internship and scholarship opportunities. The students were interviewed and asked several questions regarding their high school life, MESA, and community college and transfer experiences. The main theoretical framework utilized to analyze the interviews was Border Lands theory because these students created a safe space that allowed them to straddle their life at home and their life at school. Interviews with these students reveal seven successful, happy, and engaged students. Several themes emerged with respect to the importance of students' finding a major that they love, finding community, and the importance of teachers, family, and engagement in their success. The results of this project also emphasize the importance of hiring passionate teachers, challenging students, and engaging them via their interests and passions. The interviews uncovered Critical Race Theory counter stories, showing that despite the many barriers that these students encountered throughout their educational journey, they were able to succeed at the highest levels.
Making Data Mobile: The Hubble Deep Field Academy iPad app
NASA Astrophysics Data System (ADS)
Eisenhamer, Bonnie; Cordes, K.; Davis, S.; Eisenhamer, J.
2013-01-01
Many school districts are purchasing iPads for educators and students to use as learning tools in the classroom. Educators often prefer these devices to desktop and laptop computers because they offer portability and an intuitive design, while having a larger screen size when compared to smart phones. As a result, we began investigating the potential of adapting online activities for use on Apple’s iPad to enhance the dissemination and usage of these activities in instructional settings while continuing to meet educators’ needs. As a pilot effort, we are developing an iPad app for the “Hubble Deep Field Academy” - an activity that is currently available online and commonly used by middle school educators. The Hubble Deep Field Academy app features the HDF-North image while centering on the theme of how scientists use light to explore and study the universe. It also includes features such as embedded links to vocabulary, images and videos, teacher background materials, and readings about Hubble’s other deep field surveys. It is our goal is to impact students’ engagement in STEM-related activities, while enhancing educators’ usage of NASA data via new and innovative mediums. We also hope to develop and share lessons learned with the E/PO community that can be used to support similar projects. We plan to test the Hubble Deep Field Academy app during the school year to determine if this new activity format is beneficial to the education community.
Linking Science Fiction and Physics Courses
NASA Astrophysics Data System (ADS)
McBride, Krista K.
2016-05-01
Generally, cohorts or learning communities enrich higher learning in students. Learning communities consist of conventionally separate groups of students that meet together with common academic purposes and goals. Types of learning communities include paired courses with concurrent student enrollment, living-learning communities, and faculty learning communities. This article discusses a learning community of 21 students that I created with a colleague in the English department. The community encompasses two general education courses: an algebra-based physics course entitled "Intro to Physics" and a literature course entitled "Science Fiction, Science Fact." Students must enroll in both of these courses during the same semester. Additionally, I highlight advantages to linking these courses through surveying the assignments and course materials that we used in our learning community. Figure 1 shows the topics that are covered in both physics and literature courses.
Effect of pesticides on microbial communities in container aquatic habitats
USDA-ARS?s Scientific Manuscript database
Mosquitoes develop in a variety of aquatic habitats and feed on microbial communities associated with decaying organic matter. These aquatic habitats are often embedded within and around agricultural lands and are frequently exposed to agricultural chemicals. We used a microcosm approach to examine ...
ERIC Educational Resources Information Center
Yep, Kathleen S.
2014-01-01
Interactions between universities and surrounding communities have the potential to create empowering education through community engagement. Innovative "town/gown" relationships such as multigenerational learning communities with immigrant communities may foster positive student learning outcomes while at the same time strengthen local…
Fuzzy Logic Based Anomaly Detection for Embedded Network Security Cyber Sensor
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ondrej Linda; Todd Vollmer; Jason Wright
Resiliency and security in critical infrastructure control systems in the modern world of cyber terrorism constitute a relevant concern. Developing a network security system specifically tailored to the requirements of such critical assets is of a primary importance. This paper proposes a novel learning algorithm for anomaly based network security cyber sensor together with its hardware implementation. The presented learning algorithm constructs a fuzzy logic rule based model of normal network behavior. Individual fuzzy rules are extracted directly from the stream of incoming packets using an online clustering algorithm. This learning algorithm was specifically developed to comply with the constrainedmore » computational requirements of low-cost embedded network security cyber sensors. The performance of the system was evaluated on a set of network data recorded from an experimental test-bed mimicking the environment of a critical infrastructure control system.« less
Embedded sparse representation of fMRI data via group-wise dictionary optimization
NASA Astrophysics Data System (ADS)
Zhu, Dajiang; Lin, Binbin; Faskowitz, Joshua; Ye, Jieping; Thompson, Paul M.
2016-03-01
Sparse learning enables dimension reduction and efficient modeling of high dimensional signals and images, but it may need to be tailored to best suit specific applications and datasets. Here we used sparse learning to efficiently represent functional magnetic resonance imaging (fMRI) data from the human brain. We propose a novel embedded sparse representation (ESR), to identify the most consistent dictionary atoms across different brain datasets via an iterative group-wise dictionary optimization procedure. In this framework, we introduced additional criteria to make the learned dictionary atoms more consistent across different subjects. We successfully identified four common dictionary atoms that follow the external task stimuli with very high accuracy. After projecting the corresponding coefficient vectors back into the 3-D brain volume space, the spatial patterns are also consistent with traditional fMRI analysis results. Our framework reveals common features of brain activation in a population, as a new, efficient fMRI analysis method.
Learning to Link Visual Contours
Li, Wu; Piëch, Valentin; Gilbert, Charles D.
2008-01-01
SUMMARY In complex visual scenes, linking related contour elements is important for object recognition. This process, thought to be stimulus driven and hard wired, has substrates in primary visual cortex (V1). Here, however, we find contour integration in V1 to depend strongly on perceptual learning and top-down influences that are specific to contour detection. In naive monkeys the information about contours embedded in complex backgrounds is absent in V1 neuronal responses, and is independent of the locus of spatial attention. Training animals to find embedded contours induces strong contour-related responses specific to the trained retinotopic region. These responses are most robust when animals perform the contour detection task, but disappear under anesthesia. Our findings suggest that top-down influences dynamically adapt neural circuits according to specific perceptual tasks. This may serve as a general neuronal mechanism of perceptual learning, and reflect top-down mediated changes in cortical states. PMID:18255036
Kiva Microloans in a Learning Community: An Assignment for Interdisciplinary Synthesis
ERIC Educational Resources Information Center
Staats, Susan; Sintjago, Alfonso; Fitzpatrick, Renata
2013-01-01
Learning communities can strengthen early undergraduates' learning, but planning them can be daunting for instructors. Learning communities usually rely on integrative assignments that encourage interdisciplinary analysis. This article reports on our experiences using microloans as an interdisciplinary assignment in a learning community that…
Enhancing Community Service Learning via Practical Learning Communities
ERIC Educational Resources Information Center
Ronen, Ilana; Shemer-Elkiyam, Tal
2015-01-01
The advantages of learning communities focused on analyzing social issues and educational repercussions in the field are presented in this study. The research examines the contribution of a learning community to enhancing student teachers' responsibility and their social involvement. The assumption was that participating in learning community…
Constructivist Learning Environments and Defining the Online Learning Community
ERIC Educational Resources Information Center
Brown, Loren
2014-01-01
The online learning community is frequently referred to, but ill defined. The constructivist philosophy and approach to teaching and learning is both an effective means of constructing an online learning community and it is a tool by which to define key elements of the learning community. In order to build a nurturing, self-sustaining online…
Thomas D. Rojas
2007-01-01
National forest lands encompass numerous rural and urban communities. Some national-forest-based communities lie embedded within national forests, and others reside just outside the official boundaries of national forests. The urban and rural communities within or near national forest lands include a wide variety of historical traditions and cultural values that affect...
ERIC Educational Resources Information Center
Royer, Dan W.
2017-01-01
I examined the embedding of Appreciative Inquiry (AI) in three micro-cases at Northeastern Regional Community College (NERC). This community college is a rarity for the way AI was adopted as an operational philosophy throughout the institution. The purpose of this research was to understand institutional agents' and students' perceptions of the…
Correa-Chávez, Maricela; Roberts, Amy L D; Pérez, Margarita Martínez
2011-01-01
This chapter examines children's learning through careful attention and participation in the ongoing activities of their community. This form of learning, which has been called learning through Intent Community Participation, seems to be especially common in Mesoamerican Indigenous communities. In these communities, children are integrated into the everyday work and lives of adults and their learning may not be the central focus. We contrast this pattern with that of middle-class European American communities where children are segregated from the primary adult functions of the community. In middle-class communities and schools, children are often encouraged to engage in abstract lessons where their attention is explicitly directed to specific events. In contrast, learning through keen attention and observation may rely on learning through attention to instructions not specifically directed to the learner. Studies demonstrate Mesoamerican Indigenous children's ability to learn through simultaneous and open attention to overheard or observed activities. This form of learning is supported through multiple modalities of communication and interaction. Motivation to learn stems from the learner's inclusion into the major activities and goals of the community. Implications of research and future directions for the study of learning through keen observation are discussed.
NASA Astrophysics Data System (ADS)
Shamir, Adina; Zion, Michal; Spector Levi, Ornit
2008-08-01
The main objective of the study reported was to explore the effect on young children's critical thinking of a peer-tutoring training embedded with the metacognitive processes required for problem-based learning and, consequently, for critical thinking. The sample consisted of 90 first- and third-grade pupils (45 pairs) randomly assigned to the experimental or control group. The experimental tutors received the Peer Mediation training, an intervention containing embedded metacognitive processes. The control children received a general preparation for peer-assisted learning. Following their respective preparations, all the children participated in a peer-tutoring condition, videotaped for 25 min and subsequently analyzed with an adaptation of the Newman et al. (Interpers Comput Technol 3(2):56-77, 1995) content analysis instrument. Analysis of the discourse conducted during the tutoring session indicated that the tutors and tutees in the experimental groups exhibited greater depth of critical thinking, demonstrated in the higher Quality of Discourse Ratio calculated, than did the tutors and tutees in the control group. The findings supported previous results showing the efficacy of the Peer Mediation for Young Children mediation-training program, with its embedded metacognitive competencies, for reinforcing young children's higher-order thinking. Implications for educators are discussed.
Patel, Sapana R; Margolies, Paul J; Covell, Nancy H; Lipscomb, Cristine; Dixon, Lisa B
2018-01-01
Implementation science lacks a systematic approach to the development of learning strategies for online training in evidence-based practices (EBPs) that takes the context of real-world practice into account. The field of instructional design offers ecologically valid and systematic processes to develop learning strategies for workforce development and performance support. This report describes the application of an instructional design framework-Analyze, Design, Develop, Implement, and Evaluate (ADDIE) model-in the development and evaluation of e-learning modules as one strategy among a multifaceted approach to the implementation of individual placement and support (IPS), a model of supported employment for community behavioral health treatment programs, in New York State. We applied quantitative and qualitative methods to develop and evaluate three IPS e-learning modules. Throughout the ADDIE process, we conducted formative and summative evaluations and identified determinants of implementation using the Consolidated Framework for Implementation Research (CFIR). Formative evaluations consisted of qualitative feedback received from recipients and providers during early pilot work. The summative evaluation consisted of levels 1 and 2 (reaction to the training, self-reported knowledge, and practice change) quantitative and qualitative data and was guided by the Kirkpatrick model for training evaluation. Formative evaluation with key stakeholders identified a range of learning needs that informed the development of a pilot training program in IPS. Feedback on this pilot training program informed the design document of three e-learning modules on IPS: Introduction to IPS, IPS Job development, and Using the IPS Employment Resource Book . Each module was developed iteratively and provided an assessment of learning needs that informed successive modules. All modules were disseminated and evaluated through a learning management system. Summative evaluation revealed that learners rated the modules positively, and self-report of knowledge acquisition was high (mean range: 4.4-4.6 out of 5). About half of learners indicated that they would change their practice after watching the modules (range: 48-51%). All learners who completed the level 1 evaluation demonstrated 80% or better mastery of knowledge on the level 2 evaluation embedded in each module. The CFIR was used to identify implementation barriers and facilitators among the evaluation data which facilitated planning for subsequent implementation support activities in the IPS initiative. Instructional design approaches such as ADDIE may offer implementation scientists and practitioners a flexible and systematic approach for the development of e-learning modules as a single component or one strategy in a multifaceted approach for training in EBPs.
Multiple Intelligences to Promote Metacognition in the Online Learning Environment
ERIC Educational Resources Information Center
Stewart, Daniel P.
2013-01-01
This representative embedded study embraced hermeneutic qualitative methods and was grounded in the constructivist paradigm. The study explored how Howard Gardner's Theory of Multiple Intelligences (MI), promoted metacognition leading to self-efficacy in online learning. The number of colleges offering online courses has grown tremendously,…
The Ongoing and Open-Ended Simulation
ERIC Educational Resources Information Center
Cohen, Alexander
2016-01-01
This case study explores a novel form of classroom simulation that differs from published examples in two important respects. First, it is ongoing. While most simulations represent a single learning episode embedded within a course, the ongoing simulation is a continuous set of interrelated events and decisions that accompany learning throughout…
Low-Income Low-Qualified Employees' Access to Workplace Learning
ERIC Educational Resources Information Center
McPherson, Rebecca; Wang, Jia
2014-01-01
Purpose: The purpose of this paper was to investigate the embedded process that enables or constrains low-income low-qualified employees' access to workplace learning in small organizations. Design/methodology/approach: Informed by the sociomaterial approach and cultural historical activity theory, this study adopted a qualitative cross-case study…
Can Subliminal Influence Be Applied To Education/Training?
ERIC Educational Resources Information Center
Ogunyemi, Olatunde
1993-01-01
Explores the use of subliminal influence, where embedded stimuli, too small or too vague to be consciously recognized, are placed within text to influence student learning. Examines the technique's ability to improve learning/performance. Addresses such issues as the legality of using the technique, responsibilities of the trainer/instructor, and…
A Theoretical Model for the Four-Stage Music-Industry Internship Program.
ERIC Educational Resources Information Center
Schenbeck, Lyn
1996-01-01
Describes student development through experiential learning in a four-stage internship within a college music-industry curriculum, and uses the Steinaker-Bell experiential taxonomy to show how embedding a multistage internship throughout the curriculum, rather than at the end, greatly enhances learning. Suggests ways in which the multistage…
Karmic Assessment: Evidence from Business Students
ERIC Educational Resources Information Center
Pio, Edwina
2004-01-01
This paper reports the results of assessment as an embedded learning opportunity through evidence from a course on Management and Spirituality for business students offered in 2002 and 2003 in the USA and Europe. It discusses how assessment can be strategically used to nudge students' minds through learning experiences that expand current mental…
Assessment of Situated Learning Using Computer Environments.
ERIC Educational Resources Information Center
Young, Michael
1995-01-01
Suggests that, based on a theory of situated learning, assessment must emphasize process as much as product. Several assessment examples are given, including a computer-based planning assistant for a mathematics and science video, suggestions for computer-based portfolio assessment, and speculations about embedded assessment of virtual situations.…
Creating Cultures of Teaching and Learning: Conveying Dance and Somatic Education Pedagogy
ERIC Educational Resources Information Center
Dragon, Donna A.
2015-01-01
Often in teaching dance, methods of teaching and learning are silently embedded into dance classroom experiences. Unidentified and undisclosed pedagogic information has impacted the content of dance history; the perpetuation of authoritarian teaching practices within dance technique classes and in some dance classes deemed "somatics";…
An Investigation of Game-Embedded Handheld Devices to Enhance English Learning
ERIC Educational Resources Information Center
Hung, Hui-Chun; Young, Shelley Shwu-Ching
2015-01-01
This study proposed and implemented a system combining the advantages of both educational games and wireless handheld technology to promote the interactive English learning in the classroom setting. An interactive English vocabulary acquisition board game was designed with the system being implemented on handheld devices. Thirty sixth-grade…
Sparse Representation Based Classification with Structure Preserving Dimension Reduction
2014-03-13
dictionary learning [39] used stochastic approximations to update dictionary with a large data set. Laplacian score dictionary ( LSD ) [58], which is based on...vol. 4. 2003. p. 864–7. 47. Shaw B, Jebara T. Structure preserving embedding. In: The 26th annual international conference on machine learning, ICML
Evidencing Learning Outcomes: A Multi-Level, Multi-Dimensional Course Alignment Model
ERIC Educational Resources Information Center
Sridharan, Bhavani; Leitch, Shona; Watty, Kim
2015-01-01
This conceptual framework proposes a multi-level, multi-dimensional course alignment model to implement a contextualised constructive alignment of rubric design that authentically evidences and assesses learning outcomes. By embedding quality control mechanisms at each level for each dimension, this model facilitates the development of an aligned…
Reasoning with Atomic-Scale Molecular Dynamic Models
ERIC Educational Resources Information Center
Pallant, Amy; Tinker, Robert F.
2004-01-01
The studies reported in this paper are an initial effort to explore the applicability of computational models in introductory science learning. Two instructional interventions are described that use a molecular dynamics model embedded in a set of online learning activities with middle and high school students in 10 classrooms. The studies indicate…
Simulations with Elaborated Worked Example Modeling: Beneficial Effects on Schema Acquisition
ERIC Educational Resources Information Center
Meier, Debra K.; Reinhard, Karl J.; Carter, David O.; Brooks, David W.
2008-01-01
Worked examples have been effective in enhancing learning outcomes, especially with novice learners. Most of this research has been conducted in laboratory settings. This study examined the impact of embedding elaborated worked example modeling in a computer simulation practice activity on learning achievement among 39 undergraduate students…
Promoting Meaningful Learning: Innovations in Educating Early Childhood Professionals.
ERIC Educational Resources Information Center
Yelland, Nicola J., Ed.
Grounded in active learning, inquiry, and problem solving embedded in a social and cultural context, this book presents a collection of ideas illustrating innovative practices for educating early childhood professionals in university and other contexts. The book is presented in three parts. Part 1, "Listening to Student Voices," is…
Blended Delivery and Online Assessment: Scaffolding Student Reflections in Work-Integrated Learning
ERIC Educational Resources Information Center
Larkin, Ingrid; Beatson, Amanda
2014-01-01
This paper documents a teaching innovation addressing the challenges of embedding and assessing reflective practice in work-integrated learning, specifically marketing internships. We identify four issues relating to this problem: lack of knowledge or skill for reflection, limitations of physical journals, facilitation of different forms of…
ERIC Educational Resources Information Center
Wagner, Ellen D.
Two assessment endeavors were undertaken to determine the relative impact of alphanumeric and graphic instructional mediators upon intentional and incidental learning outcomes in applied instructional contexts. The intent of these investigations was to determine the feasibility of embedding strategic organizational cues within instruction to…
Champions or Helpers: Leadership in Curriculum Reform in Science
ERIC Educational Resources Information Center
Johnson, Elizabeth D.; Bird, Fiona L.; Fyffe, Jeanette; Yench, Emma
2012-01-01
This study describes the perceptions of embedded teaching and learning leadership teams working on curriculum reform in science teaching departments. The teams combined a formally recognised leader, School Director of Learning and Teaching, with a project-based, more junior academic, Curriculum Fellow, to better leverage support for curriculum…
Leadership in Multiplayer Online Gaming Environments
ERIC Educational Resources Information Center
Lisk, Timothy C.; Kaplancali, Ugur T.; Riggio, Ronald E.
2012-01-01
With their increased popularity, games open up possibilities for simultaneous learning on multiple levels; players may learn from contextual information embedded in the narrative of the game and through the risks, benefits, costs, outcomes, and rewards of the alternative strategies that result from fast-paced decision making. Such dynamics also…
A Comprehensive Approach to RtI: Embedding Universal Design for Learning and Technology
ERIC Educational Resources Information Center
Basham, James D.; Israel, Maya; Graden, Janet; Poth, Rita; Winston, Markay
2010-01-01
Response to intervention (RtI) provides tiered levels of supports to all students and allows for increasingly more intensive and individualized instruction. Similarly, universal design for learning (UDL) addresses needs of students by proactively planning for instructional, environmental, and technology supports to allow all students to…
Designing Online Scaffolds for Interactive Computer Simulation
ERIC Educational Resources Information Center
Chen, Ching-Huei; Wu, I-Chia; Jen, Fen-Lan
2013-01-01
The purpose of this study was to examine the effectiveness of online scaffolds in computer simulation to facilitate students' science learning. We first introduced online scaffolds to assist and model students' science learning and to demonstrate how a system embedded with online scaffolds can be designed and implemented to help high school…
The Role of Culture in Rural Ugandan Mathematics Teaching and Learning
ERIC Educational Resources Information Center
Kaahwa, Janet
2011-01-01
Education systems are culturally embedded and, therefore, difficult to improve without understanding actions, beliefs, and attitudes related to education existing within the culture. This article discusses the role culture plays in the teaching and learning of mathematics. It specifically dwells on the ways culture could benefit learners from…
ERIC Educational Resources Information Center
Etkina, Eugenia; Karelina, Anna; Ruibal-Villasenor, Maria; Rosengrant, David; Jordan, Rebecca; Hmelo-Silver, Cindy E.
2010-01-01
Design activities, when embedded in an inquiry cycle and appropriately scaffolded and supplemented with reflection, can promote the development of the habits of mind (scientific abilities) that are an important part of scientific practice. Through the Investigative Science Learning Environment ("ISLE"), students construct physics knowledge by…
Promoting Conceptual Coherence within Context-Based Biology Education
ERIC Educational Resources Information Center
Ummels, Micha H. J.; Kamp, Marcel J. A.; De Kroon, Hans; Boersma, Kerst Th.
2015-01-01
In secondary science education, the learning and teaching of coherent conceptual understanding are often problematic. Context-based education has been proposed as a partial solution to this problem. This study aims to gain insight into the development of conceptual coherence and how context-embedded learning-teaching activities (LT) can promote…
ERIC Educational Resources Information Center
Hickey, Daniel T.; Taasoobshirazi, Gita; Cross, Dionne
2012-01-01
An assessment-oriented design-based research model was applied to existing inquiry-oriented multimedia programs in astronomy, biology, and ecology. Building on emerging situative theories of assessment, the model extends prevailing views of formative assessment "for" learning by embedding "discursive" formative assessment more directly into the…
Sustainability for Innovative Education--The Case of Mobile Learning
ERIC Educational Resources Information Center
Bachmair, Ben; Pachler, Norbert
2015-01-01
The successful introduction of mobile learning into education is arguably premised on sustainability in the sense of an ability to maintain innovation over time and to become embedded into mainstream practice. This paper argues that such an endeavour requires a discursive approach, decoupling sustainability from the notion of unambiguity…
Formative Assessment Probes: How Far Did It Go?
ERIC Educational Resources Information Center
Keeley, Page
2011-01-01
Assessment serves many purposes in the elementary classroom. Formative assessment, often called assessment for learning, is characterized by its primary purpose--promoting learning. It takes place both formally and informally, is embedded in various stages of an instructional cycle, informs the teacher about appropriate next steps for instruction,…
ERIC Educational Resources Information Center
Israel, Maya; Maynard, Kathie; Williamson, Pamela
2013-01-01
Students with diverse learning needs, including students with disabilities, have historically struggled in science, technology, engineering, and mathematics (STEM) learning. This article highlights barriers that students with disabilities and other struggling learners often face in STEM education. Several applied, evidence-based practices are…
Enhancing Learning Outcomes in Computer-Based Training via Self-Generated Elaboration
ERIC Educational Resources Information Center
Cuevas, Haydee M.; Fiore, Stephen M.
2014-01-01
The present study investigated the utility of an instructional strategy known as the "query method" for enhancing learning outcomes in computer-based training. The query method involves an embedded guided, sentence generation task requiring elaboration of key concepts in the training material that encourages learners to "stop and…
ERIC Educational Resources Information Center
Fujimoto, Toru
2010-01-01
The purpose of this research was to design and evaluate a web-based self-learning environment for historical inquiry embedded with different types of instructional support featuring story-based pedagogical agents. This research focused on designing a learning environment by integrating story-based instruction and pedagogical agents as a means to…
Embedding Analogical Reasoning into 5E Learning Model: A Study of the Solar System
ERIC Educational Resources Information Center
Devecioglu-Kaymakci, Yasemin
2016-01-01
The purpose of this study was to investigate how the 5E learning model affects learning about the Solar System when an analogical model is utilized in teaching. The data were gathered in an urban middle school 7th grade science course while teaching relevant astronomy topics. The analogical model developed by the researchers was administered to 20…
ERIC Educational Resources Information Center
Abegglen, Sandra; Burns, Tom; Sinfield, Sandra
2016-01-01
The present paper explores the opportunities created by an emancipatory approach to learning and teaching when combined with embedded peer mentoring. First year undergraduate students--most from non-traditional backgrounds--were set the task to explore learning spaces at their university and to present their findings in creative ways in a…
Using Learning Communities to Build Faculty Support for Pedagogical Innovation: A Multi-Campus Study
ERIC Educational Resources Information Center
Furco, Andrew; Moely, Barbara E.
2012-01-01
To encourage greater adoption of a pedagogical innovation (service-learning), semester long faculty learning communities were established at eight institutions. These learning community experiences produced gains in participants' (N = 152) self-assessed expertise with service-learning, ability to collaborate with community partners, and…
Bounded Community: Designing and Facilitating Learning Communities in Formal Courses
ERIC Educational Resources Information Center
Wilson, Brent G.; Ludwig-Hardman, Stacey; Thornam, Christine L.; Dunlap, Joanna C.
2004-01-01
Learning communities can emerge spontaneously when people find common learning goals and pursue projects and tasks together in pursuit of those goals. "Bounded" learning communities (BLCs) are groups that form within a structured teaching or training setting, typically a course. Unlike spontaneous communities, BLCs develop in direct response to…
Regularized Embedded Multiple Kernel Dimensionality Reduction for Mine Signal Processing.
Li, Shuang; Liu, Bing; Zhang, Chen
2016-01-01
Traditional multiple kernel dimensionality reduction models are generally based on graph embedding and manifold assumption. But such assumption might be invalid for some high-dimensional or sparse data due to the curse of dimensionality, which has a negative influence on the performance of multiple kernel learning. In addition, some models might be ill-posed if the rank of matrices in their objective functions was not high enough. To address these issues, we extend the traditional graph embedding framework and propose a novel regularized embedded multiple kernel dimensionality reduction method. Different from the conventional convex relaxation technique, the proposed algorithm directly takes advantage of a binary search and an alternative optimization scheme to obtain optimal solutions efficiently. The experimental results demonstrate the effectiveness of the proposed method for supervised, unsupervised, and semisupervised scenarios.
ERIC Educational Resources Information Center
Berdish, Laura; Seeman, Corey
2010-01-01
While a great deal of literature on embedded librarians in academic libraries is focused on the role of instructor, there are many other services that could be provided by librarians working closely with students. The Kresge Business Administration Library (Stephen M. Ross School of Business at the University of Michigan) has created a unique…
A Tiered Model for Linking Students to the Community
ERIC Educational Resources Information Center
Meyer, Laura Landry; Gerard, Jean M.; Sturm, Michael R.; Wooldridge, Deborah G.
2016-01-01
A tiered practice model (introductory, pre-internship, and internship) embedded in the curriculum facilitates community engagement and creates relevance for students as they pursue a professional identity in Human Development and Family Studies. The tiered model integrates high-impact teaching practices (HIP) and student engagement pedagogies…
Are Planning Students becoming Transformational Leaders?
ERIC Educational Resources Information Center
Nagy, Beth
2012-01-01
This research asks us to consider the intersection of three major themes in the pedagogy of teaching Planning students: sustainable community theories, transformational leadership and community engagement. The intersection, a critical Planning pedagogy, should be a part of any Planning program, embedded within the curriculum of higher education.…
ERIC Educational Resources Information Center
Bucher, Jacob
2012-01-01
This article covers the importance of creating and developing agency in community partners when engaging in community-based learning. Often when faculty incorporate service- or community-based learning into their classes, we measure the "learning" part but not the "service" or "community." Focusing more on the latter involves working "with"…
The Founding of the Learning Communities Association
ERIC Educational Resources Information Center
Huerta, Juan Carlos
2017-01-01
Learning communities have reached the point in their growth that we now need a professional association to allow for more opportunities for participation in advancing learning communities. This is the story of the founding of the new Learning Communities Association.
NASA Astrophysics Data System (ADS)
Setyaningsih, S.
2018-03-01
Lesson Study for Learning Community is one of lecturer profession building system through collaborative and continuous learning study based on the principles of openness, collegiality, and mutual learning to build learning community in order to form professional learning community. To achieve the above, we need a strategy and learning method with specific subscription technique. This paper provides a description of how the quality of learning in the field of science can be improved by implementing strategies and methods accordingly, namely by applying lesson study for learning community optimally. Initially this research was focused on the study of instructional techniques. Learning method used is learning model Contextual teaching and Learning (CTL) and model of Problem Based Learning (PBL). The results showed that there was a significant increase in competence, attitudes, and psychomotor in the four study programs that were modelled. Therefore, it can be concluded that the implementation of learning strategies in Lesson study for Learning Community is needed to be used to improve the competence, attitude and psychomotor of science students.
ERIC Educational Resources Information Center
Levine, Jodi H., Ed.
This monograph on learning communities and the first-year college experience presents 12 chapters which combine theory with examples of good practice and recommendations for building and sustaining effective learning communities. Following an introduction by the editor, the included chapters are: (1) "What Are Learning Communities?"…
FODEM: Developing Digital Learning Environments in Widely Dispersed Learning Communities
ERIC Educational Resources Information Center
Suhonen, Jarkko; Sutinen, Erkki
2006-01-01
FODEM (FOrmative DEvelopment Method) is a design method for developing digital learning environments for widely dispersed learning communities. These are communities in which the geographical distribution and density of learners is low when compared to the kind of learning communities in which there is a high distribution and density of learners…
ERIC Educational Resources Information Center
Garcia-Carrion, Rocio; Gomez, Aitor; Molina, Silvia; Ionescu, Vladia
2017-01-01
Teachers' professional development in Schools as Learning Communities may become a key process for the sustainability and transferability of this model worldwide. Learning Communities (LC) is a community-based project that aims to transform schools through dialogic learning and involves research-grounded schools that implement Successful…
Frontier Fields: A Cost-Effective Approach to Bringing Authentic Science to the Education Community
NASA Astrophysics Data System (ADS)
Eisenhamer, B.; Lawton, B.; Summers, F.; Ryer, H.
2015-11-01
For more than two decades, the Hubble EPO program has sought to bring the wonders of the universe to the education community and the public, and to engage audiences in the adventure of scientific discovery. Program components include standards-based, curriculum-support materials, exhibits and exhibit components, and professional development workshops. The main underpinnings of the program's infrastructure are scientist-educator development teams, partnerships, and an embedded program evaluation component. The Space Telescope Science Institute's Office of Public Outreach is leveraging this existing infrastructure to bring the Frontier Fields science program to the education community in a cost-effective way. Frontier Fields observations and results have been, and will continue to be, embedded into existing product lines and professional development offerings. We also are leveraging our new social media strategy to bring the science program to the public in the form of an ongoing blog.
45 CFR 2517.600 - How are funds for community-based service-learning programs distributed?
Code of Federal Regulations, 2010 CFR
2010-10-01
... 45 Public Welfare 4 2010-10-01 2010-10-01 false How are funds for community-based service-learning... (Continued) CORPORATION FOR NATIONAL AND COMMUNITY SERVICE COMMUNITY-BASED SERVICE-LEARNING PROGRAMS Distribution of Funds § 2517.600 How are funds for community-based service-learning programs distributed? All...
45 CFR 2517.600 - How are funds for community-based service-learning programs distributed?
Code of Federal Regulations, 2011 CFR
2011-10-01
... 45 Public Welfare 4 2011-10-01 2011-10-01 false How are funds for community-based service-learning... (Continued) CORPORATION FOR NATIONAL AND COMMUNITY SERVICE COMMUNITY-BASED SERVICE-LEARNING PROGRAMS Distribution of Funds § 2517.600 How are funds for community-based service-learning programs distributed? All...
ERIC Educational Resources Information Center
Geller, Joanna D.; Zuckerman, Natalie; Seidel, Adam
2016-01-01
Service-learning has the potential to create mutually beneficial relationships between schools and communities, but little research explores service-learning from the community's perspective. The purpose of this study was to (a) understand how community-based organizations (CBOs) benefited from partnering with students and (b) examine whether…
Chen, Ke-Yu; Harniss, Mark; Patel, Shwetak; Johnson, Kurt
2014-03-01
The goal of the study was to investigate the accuracy, feasibility and acceptability of implementing an embedded assessment system in the homes of individuals aging with disabilities. We developed and studied a location tracking system, UbiTrack, which can be used for both indoor and outdoor location sensing. The system was deployed in the homes of five participants with spinal cord injuries, muscular dystrophy, multiple sclerosis and late effects of polio. We collected sensor data throughout the deployment, conducted pre and post interviews and collected weekly diaries to measure ground truth. The system was deployed successfully although there were challenges related to system installation and calibration. System accuracy ranged from 62% to 87% depending upon room configuration and number of wireless access points installed. In general, participants reported that the system was easy to use, did not require significant effort on their part and did not interfere with their daily lives. Embedded assessment has great potential as a mechanism to gather ongoing information about the health of individuals aging with disabilities; however, there are significant challenges to its implementation in real-world settings with people with disabilities that will need to be resolved before it can be practically implemented. Technology-based embedded assessment has the potential to promote health for adults with disabilities and allow for aging in place. It may also reduce the difficulty, cost and intrusiveness of health measurement. Many new commercial and non-commercial products are available to support embedded assessment; however, most products have not been well-tested in real-world environments with individuals aging with disability. Community settings and diverse population of people with disabilities pose significant challenges to the implementation of embedded assessment systems.
Service-Learning and Learning Communities: Tools for Integration and Assessment.
ERIC Educational Resources Information Center
Oates, Karen K.; Leavitt, Lynn H.
This publication attempts to provide fundamental theory about service-learning and learning communities, along with descriptions of best practices, lessons learned, and assessment strategies. The text is designed to provide resources to help readers offer service-learning experiences for their students. Learning communities are now commonly…
Toward a Social Approach to Learning in Community Service Learning
ERIC Educational Resources Information Center
Cooks, Leda; Scharrer, Erica; Paredes, Mari Castaneda
2004-01-01
The authors describe a social approach to learning in community service learning that extends the contributions of three theoretical bodies of scholarship on learning: social constructionism, critical pedagogy, and community service learning. Building on the assumptions about learning described in each of these areas, engagement, identity, and…
Grossberg, Stephen
2015-09-24
This article provides an overview of neural models of synaptic learning and memory whose expression in adaptive behavior depends critically on the circuits and systems in which the synapses are embedded. It reviews Adaptive Resonance Theory, or ART, models that use excitatory matching and match-based learning to achieve fast category learning and whose learned memories are dynamically stabilized by top-down expectations, attentional focusing, and memory search. ART clarifies mechanistic relationships between consciousness, learning, expectation, attention, resonance, and synchrony. ART models are embedded in ARTSCAN architectures that unify processes of invariant object category learning, recognition, spatial and object attention, predictive remapping, and eye movement search, and that clarify how conscious object vision and recognition may fail during perceptual crowding and parietal neglect. The generality of learned categories depends upon a vigilance process that is regulated by acetylcholine via the nucleus basalis. Vigilance can get stuck at too high or too low values, thereby causing learning problems in autism and medial temporal amnesia. Similar synaptic learning laws support qualitatively different behaviors: Invariant object category learning in the inferotemporal cortex; learning of grid cells and place cells in the entorhinal and hippocampal cortices during spatial navigation; and learning of time cells in the entorhinal-hippocampal system during adaptively timed conditioning, including trace conditioning. Spatial and temporal processes through the medial and lateral entorhinal-hippocampal system seem to be carried out with homologous circuit designs. Variations of a shared laminar neocortical circuit design have modeled 3D vision, speech perception, and cognitive working memory and learning. A complementary kind of inhibitory matching and mismatch learning controls movement. This article is part of a Special Issue entitled SI: Brain and Memory. Copyright © 2014 Elsevier B.V. All rights reserved.
"A Lot of Bang for the Buck"--Results of the COPC Impact Survey
ERIC Educational Resources Information Center
Brabant, Margaret; Braid, Donald; Carriere, Armand
2013-01-01
Respondents to our 2011 survey on the impact of Community Outreach Partnership Centers (COPC) grants administered by HUD between 1994 and 2005 reported deep and lasting impacts on their respective institutions. These grants affected institutional structures, embedded community engagement within institutional cultures and academic curricula, and…
Wirzberger, Maria; Esmaeili Bijarsari, Shirin; Rey, Günter Daniel
2017-09-01
Cognitive processes related to schema acquisition comprise an essential source of demands in learning situations. Since the related amount of cognitive load is supposed to change over time, plausible temporal models of load progression based on different theoretical backgrounds are inspected in this study. A total of 116 student participants completed a basal symbol sequence learning task, which provided insights into underlying cognitive dynamics. Two levels of task complexity were determined by the amount of elements within the symbol sequence. In addition, interruptions due to an embedded secondary task occurred at five predefined stages over the task. Within the resulting 2x5-factorial mixed between-within design, the continuous monitoring of efficiency in learning performance enabled assumptions on relevant resource investment. From the obtained results, a nonlinear change of learning efficiency over time seems most plausible in terms of cognitive load progression. Moreover, different effects of the induced interruptions show up in conditions of task complexity, which indicate the activation of distinct cognitive mechanisms related to structural aspects of the task. Findings are discussed in the light of evidence from research on memory and information processing. Copyright © 2017 Elsevier B.V. All rights reserved.
ERIC Educational Resources Information Center
Bigby, Christine; Anderson, Sian; Cameron, Nadine
2018-01-01
Background: Little progress has been made towards community participation of people with intellectual disability despite it being a policy aim since the 1980s. We aimed to identify the features of programmes designed to support community participation. Method: A scoping review was conducted of peer-reviewed literature between 2000 and 2015, about…
ERIC Educational Resources Information Center
Carrino, Stephanie Sedberry; Gerace, William J.
2016-01-01
STEM learning communities facilitate student academic success and persistence in science disciplines. This prompted us to explore the underlying factors that make learning communities successful. In this paper, we report findings from an illustrative case study of a 2-year STEM-based learning community designed to identify and describe these…
The Group as Teacher: The Gestalt Peer-Learning Community as a Vehicle for Organisational Healing.
ERIC Educational Resources Information Center
Barber, Paul
The possibility of using a Gestalt-informed peer learning community to facilitate reflective learning and organizational change was explored. A peer learning community model exists that is based on two approaches to working with mental illness--therapeutic community practice (which is based on treating the community group rather than individuals…
ERIC Educational Resources Information Center
Wathington, Heather D.; Pretlow, Joshua; Mitchell, Claire
2011-01-01
Learning communities, a small cohort of students enrolled together in two or more linked courses, have become a popular intervention to help underprepared students succeed in college. Though learning communities abound in practice, the key structural feature of a learning community--the cohort--may not be fully understood. Authors posit that a…
Business Students' Learning with Online Discussion Forums: The Case of a Virtual Classroom Community
ERIC Educational Resources Information Center
Zhu, Jake
2010-01-01
This study examined what learning is and how learning was facilitated in a virtual classroom community using online discussion forums. Results demonstrated that learning in such a community was the active participation by the members of the community in the process of meaning construction. The construction of meaning in such a community was…
Why should we bother with assessment moderation?
Smith, Colleen
2012-08-01
Assessment moderation is a significant component of a quality education system. How this practice is conceptualised, applied to the assessment process and embedded in teaching and learning, influence the quality of nurse education programmes. This paper challenges the traditional view that moderation is confined to what happens at the time of assessment which is evident in the use of language such as pre-moderation and post-moderation practice. It critiques traditional moderation practices such as double marking, applying assessment criteria and standards and assigning marks and grades and argues that these practices don't do justice to the complexity of assessment. It calls for a whole of course approach to moderation based on a set of principles which encompass constructive alignment, a community of practice group, the subjective nature of assessment and a reflective quality improvement cycle. Copyright © 2011 Elsevier Ltd. All rights reserved.
Epistemologies in the Text of Children's Books: Native- and non-Native-authored books
NASA Astrophysics Data System (ADS)
Dehghani, Morteza; Bang, Megan; Medin, Douglas; Marin, Ananda; Leddon, Erin; Waxman, Sandra
2013-09-01
An examination of artifacts provides insights into the goals, practices, and orientations of the persons and cultures who created them. Here, we analyze storybook texts, artifacts that are a part of many children's lives. We examine the stories in books targeted for 4-8-year-old children, contrasting the texts generated by Native American authors versus popular non-Native authors. We focus specifically on the implicit and explicit 'epistemological orientations' associated with relations between human beings and the rest of nature. Native authors were significantly more likely than non-Native authors to describe humans and the rest of nature as psychologically close and embedded in relationships. This pattern converges well with evidence from a behavioral task in which we probed Native (from urban inter-tribal and rural communities) and non-Native children's and adults' attention to ecological relations. We discuss the implications of these differences for environmental cognition and science learning.
Health promotion in context: A reflective-analytical model.
Liveng, Anne; Andersen, Heidi Myglegård; Lehn-Christiansen, Sine
2018-02-01
Health promotion constitutes a complex field of study, as it addresses multifaceted problems and involves a range of methods and theories. Students in the field of health promotion can find this challenging. To raise their level of reflexivity and support learning we have developed the "context model," which is presented in this article. The model provides a framework for the analysis of health-promotion initiatives, employing eight perspectives each intertwined with the others. It is based on the assumption that health and health inequities are contextual and that the theoretically inspired understanding of contexts is central for health promoters. Contexts for health are seen as more than the local setting; they are embedded in societal and global conditions-which, vice versa, influence the local setting. A Danish community health project is used to exemplify how the model can be used in relation to educational purposes.
ERIC Educational Resources Information Center
Ellis, Leonie; Kelder, Jo-Anne
2012-01-01
Technology Enhanced Learning and Teaching (TELT) is a ubiquitous feature of the learning and teaching landscape at the University of Tasmania (UTAS), supported and guided by a university-wide TELT action plan. This paper reports on the most recent stage of an ongoing investigation into the use of ePortfolio learning technology to improve students'…
ERIC Educational Resources Information Center
de Waard, Inge; Demeulenaere, Kathy
2017-01-01
This study comprises the outcomes and methods of a one year project using Content and Language Integrated Learning (CLIL) and Massive Open Online Courses (MOOCs) embedded in K-12 classes. The Self-Regulated Learning (SRL) of 42 students enrolled in three 5th grade classes were monitored. The students took the MOOCCLIL class for one year…
Current Capabilities, Issues, and Trends in LMSs and Authoring Tools
2009-08-18
architecture Embedded best-practice design principles Support for immersive learning technologies Support for social media 8 LMSs LMS Functionality is... Learning System Multimedia content Application demos VOIP Real-time Collaboration technologies from Adobe Connect Pro, WebEx, LiveMeeting, & Centra...ORGANIZATION NAME(S) AND ADDRESS(ES) Advanced Decision Learning (ADL),ADL Co-Lab,1901 N. Beauregard Street Suite 600,Alexandria,VA,22311 8
NASA Astrophysics Data System (ADS)
Hong, Jianzhong
2000-11-01
This paper explores the process of workplace learning and problem solving by examining Western and local enterprises in South China. The paper addresses the subject on two levels. First, it examines the process of learning by solving problems on the shop floor. Second, it deals with certain managerial concepts embedded in Chinese culture and discusses whether these concepts help or impede collective learning. The article concludes that new ways of working and learning are emerging through the interaction of Western and Chinese culture.
NASA Astrophysics Data System (ADS)
Archie, T.; Newman, P.
2012-12-01
Countless programs are aimed at retaining first year college students in their majors and at their institutions. Additionally, first year students in STEM majors are retained at lower rates, than non-STEM majors. Previous research has shown that students who leave the institution are not as academically and socially integrated into the campus community than students who persist at an institution. Residential learning communities can be thought of as a retention tool by enhancing the academic and social integration of their participants. Academic integration has historically been measured by academic success as indicated by GPA, while social integration has been more difficult to measure. We adapted the Sense of Community Index (SCI) as a measure of social integration. Sense of community (SOC) has been defined as ''a feeling that members have of belonging, a feeling that members matter to one another and to the group, and a shared faith that members' needs will be met through their commitment to be together''. This quantitative study examines sense of community as a means of social integration and explores the relationship between learning communities, students' sense of community, and their intent to persist at a large public university and within their current major. An online survey of 60 first-year college students in a Natural Resources College, examined the relationships between learning community participation, sense of community, and student retention. A logistic regression of sense of community was very effective in predicting students' intent to stay or leave the institution. Structural equation models showed that sense of community was strongly positively related to a students' intent to stay or leave the institution for non-learning community participants, but not for learning community participants. We hypothesized that learning community participants sense of community needs would be more fully met than non-learning community participants. Learning community students showed a weak correlation between sense of community and intent to persist in their major, indicating that these students' departure decisions were based on factors other than sense of community. These finding were consistent with previous research of sense of community which has supported this construct as a needs based hierarchical theory. For example, if students' sense of community needs are met, then they can focus on higher level needs, such as academic success. Conversely, if students' sense of community needs are not being fully met, then this factor remains salient in terms of influencing their departure decision. Our results suggest that learning communities fulfill students' sense of community needs, thus this factor has less influence on learning community participants' decision to leave the institution than their counterparts who do not participate in a learning community. Our results suggest that learning communities are effective in fulfilling students' sense of community needs, thus allowing them to focus their energies on higher order needs such as academic success.
Professional Development and Job-Embedded Collaboration: How Teachers Learn to Exercise Leadership
ERIC Educational Resources Information Center
Hunzicker, Jana
2012-01-01
Research shows that professional development alone does not provide adequate leadership preparation for teachers, yet many develop into established teacher leaders. The purpose of this study was to explore how teachers learn to exercise informal leadership in the schools and districts where they work. Eight elementary teachers who lived and worked…
Overcoming Computer Anxiety: A Three-Step Process for Adult Learners
ERIC Educational Resources Information Center
Sivakumaran, Thillainatarajan; Lux, Allison C.
2011-01-01
Many adult learners returning to school later in life have discovered that technology is heavily embedded in the learning environment. Learning both course contents and technology in unison can be a daunting task for students who feel intimidated by technology. Computer anxiety is a term that describes resistance, fear or anxieties towards…
The Value of Accreditation for Learning Centers and Their Programs
ERIC Educational Resources Information Center
Bailey, Geoffrey
2018-01-01
Creating a culture of assessment is an essential practice and mindset for postsecondary institutions as well as the units and departments embedded within respective campuses. Although it may sound daunting at first glance, simply put, assessment is "a set of processes designed to improve, demonstrate, and inquire about student learning"…
Coordinating Decentralized Learning and Conflict Resolution across Agent Boundaries
ERIC Educational Resources Information Center
Cheng, Shanjun
2012-01-01
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems because of scalability, partial information accessibility and complex interaction of agents. It is a challenge for agents to learn good policies, when they need to plan and…
Embedding Responsible Conduct in Learning and Research into an Australian Undergraduate Curriculum
ERIC Educational Resources Information Center
Fernandes, Lynette B.
2017-01-01
Responsible conduct in learning and research (RCLR) was progressively introduced into the pharmacology curriculum for undergraduate science students at The University of Western Australia. In the second year of this undergraduate curriculum, a lecture introduces students to issues such as the use of animals in teaching and responsible conduct of…
Networked Teacher Professional Development: The Case of Globaloria
ERIC Educational Resources Information Center
Whitehouse, Pamela
2011-01-01
The purpose of this paper is to explore a teacher professional development program embedded in a networked learning environment, and to offer an emerging model and analytic matrix of 21st century teacher professional development. The Globaloria program is based on theories of learning by design and facilitates teachers and students as they create…
The Role of Lecturers and University Administrators in Promoting New E-Learning Initiatives
ERIC Educational Resources Information Center
Mncube, Lancelord Siphamandla; Dube, Luyanda; Ngulube, Patrick
2017-01-01
This article examines the role of lecturers in encouraging and supporting students likely to be predisposed to challenges related to incomprehension, incapacity and isolation embedded in the virtual learning environment. This article used a constructivist lens to gain through interviews an understanding into the intuition, thoughts, ideals,…
Assessment for Learning: An Endangered Species?
ERIC Educational Resources Information Center
Popham, W. James
2006-01-01
Assessment for learning involves the frequent, continual use of both formal and informal classroom assessments. It can be as simple as requiring students to respond to a lesson-embedded, one-item quiz as a way of gauging student understanding of what is being taught. Ideally, this innovative approach to classroom assessment is based on a careful…
ERIC Educational Resources Information Center
Gannon, Susanne
2012-01-01
This paper explores the metaphor of the classroom as a "crucible" for early professional learning where beginning teachers forge professional identities in complex, unpredictable, paradoxical, affectively and physically potent contexts of practice. It works into the dissonances and contradictions of the micro-narratives embedded in the…
Understanding Player Activity in a Game-Based Virtual Learning Environment
ERIC Educational Resources Information Center
Boyer, David Matthew
2011-01-01
This study examines player activity in a game-based virtual learning environment as a means toward evaluating instructional and game design. By determining the goals embedded in project development and the availability and structure of in-game activities, the first part of this research highlights opportunities for players to engage with learning…
ERIC Educational Resources Information Center
Snell, Robin Stanley; Chan, Maureen Yin Lee; Ma, Carol Hok Ka; Chan, Carman Ka Man
2015-01-01
We present a road map for providing course-embedded service-learning team projects as opportunities for undergraduates to practice as service leaders in Asia and beyond. Basic foundations are that projects address authentic problems or needs, partner organization representatives (PORs) indicate availability for ongoing consultation, students…
Emphasizing Planning for Essay Writing with a Computer-Based Graphic Organizer
ERIC Educational Resources Information Center
Evmenova, Anya S.; Regan, Kelley; Boykin, Andrea; Good, Kevin; Hughes, Melissa; MacVittie, Nichole; Sacco, Donna; Ahn, Soo Y.; Chirinos, David
2016-01-01
The authors conducted a multiple-baseline study to investigate the effects of a computer-based graphic organizer (CBGO) with embedded self-regulated learning strategies on the quantity and quality of persuasive essay writing by students with high-incidence disabilities. Ten seventh- and eighth-grade students with learning disabilities, emotional…
Generative Learning Strategy Use and Self-Regulatory Prompting in Digital Text
ERIC Educational Resources Information Center
Reid, Alan J.; Morrison, Gary M.
2014-01-01
The digital revolution is shifting print-based textbooks to digital text, and it has afforded the opportunity to incorporate meaningful learning strategies and otherwise separate metacognitive activities directly into these texts as embedded support. A sample of 89 undergraduates read a digital, expository text on the basics of photography. The…
Planning for Sustainability from the Outset
ERIC Educational Resources Information Center
Bourne, Janet
2016-01-01
What are the elements of professional learning that lead to an increase of the likelihood of new learning and understandings being embedded into teacher practices? This article details some of the strategies the author has successfully employed to establish a context whereby an innovation would be sustained past the time of the Ministry Gifted and…
ERIC Educational Resources Information Center
Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent
2016-01-01
Intelligent Tutoring Systems (ITSs) are beneficial for individual students learning in several domains, including mathematics where they have been used to support both secondary and elementary students. Collaborative learning may be beneficial to include in ITSs, particularly for conceptual knowledge. There is little work on collaborative ITSs,…
ERIC Educational Resources Information Center
Lee, Jang Ho
2012-01-01
Experimental methods have played a significant role in the growth of English teaching and learning studies. The paper presented here outlines basic features of experimental design, including the manipulation of independent variables, the role and practicality of randomised controlled trials (RCTs) in educational research, and alternative methods…
Effects of Facebook Tutoring on Learning English as a Second Language
ERIC Educational Resources Information Center
Wang, Chang-hwa; Chen, Cheng-ping
2013-01-01
Social media use has become increasingly embedded in everyday life. Among various social media, Facebook is a highly interactive virtual social communication tool and it has become increasingly popular on college campuses. Research results have indicated that Facebook could be an effective platform for informal learning. However, most of current…
A Study on the Approaches to Culture Introduction in English Textbooks
ERIC Educational Resources Information Center
Zu, Lin; Kong, Zheqiong
2009-01-01
Language is embedded in society and culture, and for that matter, learning a foreign language involves learning its culture. This paper is concerned with the inseparability of culture and language in foreign language teaching, arguing that culture introduction is an effective way to promote students' cultural awareness and language proficiency.…
ERIC Educational Resources Information Center
Rausch, David W.; Crawford, Elizabeth K.
2013-01-01
Through this paper, we describe how a doctoral program in Learning and Leadership combines the best of both worlds from theory based programs and applied programs. Participants work from their embedded professional practice underpinned with the theoretical constructs of the program's seven foundational competency domains. Competencies are…
Service Learning with "Third-Culture Kids": Preparing an Iftar in Egypt
ERIC Educational Resources Information Center
Hubbard, Janie
2010-01-01
Many international schools embrace social studies education, and service learning embedded within the social studies curriculum is often the norm rather than the exception. Helping students help others in any setting is powerful. In a richly diverse venue there are added benefits. The "third-culture kids" attending international schools…
ERIC Educational Resources Information Center
Khuong, Cam Thi Hong
2016-01-01
This paper addresses the work-integrated learning (WIL) initiative embedded in selected tourism training programs in Vietnam. The research was grounded on the framework of stakeholder ethos. Drawing on tourism training curriculum analysis and interviews with lecturers, institutional leaders, industry managers and internship supervisors, this study…
Promoting Reflection in Asynchronous Virtual Learning Spaces: Tertiary Distance Tutors' Conceptions
ERIC Educational Resources Information Center
Rivers, Bethany Alden; Richardson, John T. E.; Price, Linda
2014-01-01
Increasingly, universities are embedding reflective activities into the curriculum. With the growth in online tertiary education, how effectively is reflection being promoted or used in online learning spaces? Based on the notion that teachers' beliefs will influence their approaches to teaching, this research sought to understand how a group of…
Designing Ubiquitous Computing to Enhance Children's Learning in Museums
ERIC Educational Resources Information Center
Hall, T.; Bannon, L.
2006-01-01
In recent years, novel paradigms of computing have emerged, which enable computational power to be embedded in artefacts and in environments in novel ways. These developments may create new possibilities for using computing to enhance learning. This paper presents the results of a design process that set out to explore interactive techniques,…
ERIC Educational Resources Information Center
Belkhir, Lotfi
2015-01-01
In this pedagogical study, we introduce the design and findings of a pilot study on the effectiveness of a new Engineering graduate course, "Total Sustainability Management", in teaching and learning sustainability, both at the cognitive and the management level. The design of an "arms-length" anonymized pre- and post-course…
Physicality and Language Learning
ERIC Educational Resources Information Center
Park, Jaeuk; Seedhouse, Paul; Seedhouse, Rob; Kiaer, Jieun
2016-01-01
The study draws on the digital technology which allows users to be able to learn both linguistic and non-linguistic skills at the same time. Activity recognition as well as wireless sensor technology, similar to a Nintendo Wii, is embedded or attached to the equipment and ingredients, allowing users to detect and evaluate progress as they carry…
Grounding Assessment in Authentic Pedagogy: A Case Study of General Education Assessment
ERIC Educational Resources Information Center
Hall, Kevin
2012-01-01
The purpose of the study was to understand how instructors of general education courses, seeking to improve student learning, integrate assessment into their pedagogy. These assessment approaches, embedded within rich pedagogical understandings and experiences, reside at the core of the teaching and learning process. The study explored how…
The Effects of Fantasy Context on Children's Learning and Motivation.
ERIC Educational Resources Information Center
Parker, Louise E.; Lepper, Mark R.
Examined were the effects on children's learning and motivation of the embedding of instructional materials in various fantasy contexts. Students in the third grade worked with graphics commands from the LOGO programming language under one of three conditions. In a control condition, students were given a series of abstract problems characteristic…
ERIC Educational Resources Information Center
Borst Pauwels, H. W. J.; And Others
The integration of existing applications in hypermedia environments is a promising approach towards more flexible and user-friendly hypermedia learning materials. A hypermedia courseware editor, called HyDE (Hypermedia Document Editor) was developed using Microsoft Windows TM OLE technology. OLE (object Linking and Embedding) stands for an…
Who Needs 3D When the Universe Is Flat?
ERIC Educational Resources Information Center
Eriksson, Urban; Linder, Cedric; Airey, John; Redfors, Andreas
2014-01-01
An overlooked feature in astronomy education is the need for students to learn to extrapolate three-dimensionality and the challenges that this may involve. Discerning critical features in the night sky that are embedded in dimensionality is a long-term learning process. Several articles have addressed the usefulness of three-dimensional (3D)…
Growth Infusion: Embedding Staff Development in a Culture of Learning
ERIC Educational Resources Information Center
Bennett, Betty J.
2017-01-01
To address increasing accountability demands, instructional leaders must find ways to expand the current reality of faculty development to create a culture where continuous growth and learning are the standard for professional behavior. Growth Infusion is a framework for creating such a culture. The framework is a result of an extensive search for…
A Contest-Oriented Project for Learning Intelligent Mobile Robots
ERIC Educational Resources Information Center
Huang, Hsin-Hsiung; Su, Juing-Huei; Lee, Chyi-Shyong
2013-01-01
A contest-oriented project for undergraduate students to learn implementation skills and theories related to intelligent mobile robots is presented in this paper. The project, related to Micromouse, Robotrace (Robotrace is the title of Taiwanese and Japanese robot races), and line-maze contests was developed by the embedded control system research…
ERIC Educational Resources Information Center
Ziegler, Nicholas Allan
2014-01-01
The European Language Portfolio (ELP) is an alternative assessment used in foreign language classes throughout Europe to support and record language learning. Directly linked to the Common European Framework of Reference for Languages (Council of Europe, 2001) proficiency guidelines, it is designed to achieve an ambitious dual goal: document…
ERIC Educational Resources Information Center
Bierman, Karen L.; Coie, John D.; Dodge, Kenneth A.; Greenberg, Mark T.; Lochman, John E.; McMahon, Robert J.; Pinderhughes, Ellen
2010-01-01
Objective: This article examines the impact of a universal social-emotional learning program, the Fast Track PATHS (Promoting Alternative Thinking Strategies) curriculum and teacher consultation, embedded within the Fast Track selective prevention model. Method: The longitudinal analysis involved 2,937 children of multiple ethnicities who remained…
Sem-Analysing Events: Towards a Cultural Pedagogy of Hope
ERIC Educational Resources Information Center
Semetsky, Inna
2007-01-01
This paper locates the concept of learning among real-life human experiences and events. Functioning as a sign, a meaningful event can be understood in terms of a cultural extra-linguistic "text." Reading and interpreting diverse cultural "texts" are equivalent to constructing and learning critical symbolic lessons embedded in a continuous process…