Software support environment design knowledge capture

Science.gov (United States)

Dollman, Tom

1990-01-01

The objective of this task is to assess the potential for using the software support environment (SSE) workstations and associated software for design knowledge capture (DKC) tasks. This assessment will include the identification of required capabilities for DKC and hardware/software modifications needed to support DKC. Several approaches to achieving this objective are discussed and interim results are provided: (1) research into the problem of knowledge engineering in a traditional computer-aided software engineering (CASE) environment, like the SSE; (2) research into the problem of applying SSE CASE tools to develop knowledge based systems; and (3) direct utilization of SSE workstations to support a DKC activity.

E-LEARNING AS A KNOWLEDGE MANAGEMENT APPROACH FOR INTELLECTUAL CAPITAL UTILIZATION

Directory of Open Access Journals (Sweden)

Issa SHEHABAT

2009-01-01

Full Text Available This paper addresses human resources utilization at the university environment. We address the design issues of e-learning courses that can capture the teacher knowledge. The underlying objective is that e-learning is a key knowledge and major resources for many universities. Therefore, the design of e-learning should be an important part of the university knowledge management process. Teachers' knowledge in any important topic or field should be managed in a way that the university can benefit from it in case of teacher leaving or retired. Hence, intellectual personal knowledge management will be explored through the development of e-learning systems. Some concepts from the Artificial Intelligence field can be used in developing such systems. The potential for utilizing human knowledge in the university environment will optimize the resources and can be of cost effective and quality assurance factors and provide the university with a sustainable competitive advantage. Assuring the proper knowledge management within the university environment is a more complex issue. This is due to the diverse of topics in one hand and the behavior of the student and the lecturers on the other hand. Effective implementation and success requires a lot of efforts that will guarantee the utilization of the intellectual capital within the university environment.

E-LEARNING AS A KNOWLEDGE MANAGEMENT APPROACH FOR INTELLECTUAL CAPITAL UTILIZATION

Directory of Open Access Journals (Sweden)

Issa SHEHABAT

2008-01-01

Full Text Available This paper addresses human resources utilization at the university environment. We address the design issues of e-learning courses that can capture the teacher knowledge. The underlying objective is that e-learning is a key knowledge and major resources for many universities. Therefore, the design of e-learning should be an important part of the university knowledge management process. Teachers' knowledge in any important topic or field should be managed in a way that the university can benefit from it in case of teacher leaving or retired. Hence, intellectual personal knowledge management will be explored through the development of e-learning systems. Some concepts from the Artificial Intelligence field can be used in developing such systems.The potential for utilizing human knowledge in the university environment will optimize the resources and can be of cost effective and quality assurance factors and provide the university with a sustainable competitive advantage.Assuring the proper knowledge management within the university environment is a more complex issue. This is due to the diverse of topics in one hand and the behavior of the student and the lecturers on the other hand. Effective implementation and success requires a lot of efforts that will guarantee the utilization of the intellectual capital within the university environment.

Robust automated knowledge capture.

Energy Technology Data Exchange (ETDEWEB)

Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt

2011-10-01

This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.

Knowledge management: an analysis of the tools of expert knowledge capture

International Nuclear Information System (INIS)

Fernandez Larcher, A.

2009-01-01

This work proposes the revision of the strategies and tools used to elicit and capture expert knowledge, particularly those suggested by the EPRI and the IAEA. The main objective of this paper consists of examining the effectiveness and scope of the methodologies proposed, in order to apply them and make them suitable according to our institutional context. This article emphasizes the value and usefulness of the interview's methods with the aim of implementing some of them to the activities created and organized by CNEA Nuclear Knowledge Management Group, especially to the ConRRad Project. (author)

Knowledge capture and preservation at Cernavoda Unit 2 Project

International Nuclear Information System (INIS)

Condu, M.; Chirica, T.; Popescu, D.; Marculescu, N.

2007-01-01

Full text: As it is known, Cernavoda Unit 2 - Romania, is a delayed nuclear power plant (NPP), started in early '80s, works were frozen in 1990 and resumed in 2003 under a management contract concluded by Nuclearelectrica, the Romanian nuclear utility, with Atomic Energy of Canada Ltd (AECL)-Canada and Ansaldo - Italy. This project has many specificities, including long time stored equipment, some works done 15 to 20 years ago; technology developments during these years; only couple of staff available from those initially involved; and a forthcoming project (Cernavoda Units 3 and 4) in its latest development phase. On top of that, like in other Eastern European countries, Nuclearelectrica is losing people due to salary issue and 'brain drain'. In the actual international situation where the nuclear energy contribution to energy mix is under reconsideration and where the demand for qualified personnel significantly exceeds the offer, it is estimated that maybe the biggest challenge of the forthcoming Cernavoda Units 3 and 4 would be availability of human resources. As Cernavoda Unit 2 Project goes towards a successful completion, all those who put lots of efforts and a difficult to overestimate contribution to overcome all challenges of this special Project will leave one after the other. Special attention is being given by Nuclearelectrica and the main contractors AECL and Ansaldo capturing the knowledge (both explicit and tacit) accumulated in these last almost five years and to leave to those who will continue the forthcoming Unit 3 and 4 Projects and to the nuclear industry in general. The objective on knowledge capture and preservation is to gather all experience and lessons learned during contracting, financing, constructing and commissioning of NPP Cernavoda Unit 2, with a focus on tacit knowledge and to asses potential improvements that might be applied in the forthcoming projects, in order to improve nuclear and economic performance. There are couple of

The Power of a Question: A Case Study of Two Organizational Knowledge Capture Systems

Science.gov (United States)

Cooper, Lynn P.

2003-01-01

This document represents a presentation regarding organizational knowledge capture systems which was delivered at the HICSS-36 conference held from January 6-9, 2003. An exploratory case study of two knowledge resources is offered. Then, two organizational knowledge capture systems are briefly described: knowledge transfer from practitioner and the use of questions to represent knowledge. Finally, the creation of a database of peer review questions is suggested as a method of promoting organizational discussions and knowledge representation and exchange.

Learning Task Knowledge from Dialog and Web Access

Directory of Open Access Journals (Sweden)

Vittorio Perera

2015-06-01

Full Text Available We present KnoWDiaL, an approach for Learning and using task-relevant Knowledge from human-robot Dialog and access to the Web. KnoWDiaL assumes that there is an autonomous agent that performs tasks, as requested by humans through speech. The agent needs to “understand” the request, (i.e., to fully ground the task until it can proceed to plan for and execute it. KnoWDiaL contributes such understanding by using and updating a Knowledge Base, by dialoguing with the user, and by accessing the web. We believe that KnoWDiaL, as we present it, can be applied to general autonomous agents. However, we focus on our work with our autonomous collaborative robot, CoBot, which executes service tasks in a building, moving around and transporting objects between locations. Hence, the knowledge acquired and accessed consists of groundings of language to robot actions, and building locations, persons, and objects. KnoWDiaL handles the interpretation of voice commands, is robust regarding speech recognition errors, and is able to learn commands involving referring expressions in an open domain, (i.e., without requiring a lexicon. We present in detail the multiple components of KnoWDiaL, namely a frame-semantic parser, a probabilistic grounding model, a web-based predicate evaluator, a dialog manager, and the weighted predicate-based Knowledge Base. We illustrate the knowledge access and updates from the dialog and Web access, through detailed and complete examples. We further evaluate the correctness of the predicate instances learned into the Knowledge Base, and show the increase in dialog efficiency as a function of the number of interactions. We have extensively and successfully used KnoWDiaL in CoBot dialoguing and accessing the Web, and extract a few corresponding example sequences from captured videos.

Safety and Mission Assurance Knowledge Management Retention: Managing Knowledge for Successful Mission Operations

Science.gov (United States)

Johnson, Teresa A.

2006-01-01

Knowledge Management is a proactive pursuit for the future success of any large organization faced with the imminent possibility that their senior managers/engineers with gained experiences and lessons learned plan to retire in the near term. Safety and Mission Assurance (S&MA) is proactively pursuing unique mechanism to ensure knowledge learned is retained and lessons learned captured and documented. Knowledge Capture Event/Activities/Management helps to provide a gateway between future retirees and our next generation of managers/engineers. S&MA hosted two Knowledge Capture Events during 2005 featuring three of its retiring fellows (Axel Larsen, Dave Whittle and Gary Johnson). The first Knowledge Capture Event February 24, 2005 focused on two Safety and Mission Assurance Safety Panels (Space Shuttle System Safety Review Panel (SSRP); Payload Safety Review Panel (PSRP) and the latter event December 15, 2005 featured lessons learned during Apollo, Skylab, and Space Shuttle which could be applicable in the newly created Crew Exploration Vehicle (CEV)/Constellation development program. Gemini, Apollo, Skylab and the Space Shuttle promised and delivered exciting human advances in space and benefits of space in people s everyday lives on earth. Johnson Space Center's Safety & Mission Assurance team work over the last 20 years has been mostly focused on operations we are now beginning the Exploration development program. S&MA will promote an atmosphere of knowledge sharing in its formal and informal cultures and work processes, and reward the open dissemination and sharing of information; we are asking "Why embrace relearning the "lessons learned" in the past?" On the Exploration program the focus will be on Design, Development, Test, & Evaluation (DDT&E); therefore, it is critical to understand the lessons from these past programs during the DDT&E phase.

Nuclear muon capture

CERN Document Server

Mukhopadhyay, N C

1977-01-01

Our present knowledge of the nuclear muon capture reactions is surveyed. Starting from the formation of the muonic atom, various phenomena, having a bearing on the nuclear capture, are reviewed. The nuclear reactions are then studied from two angles-to learn about the basic muon+nucleon weak interaction process, and to obtain new insights on the nuclear dynamics. Future experimental prospects with the newer generation muon 'factories' are critically examined. Possible modification of the muon+nucleon weak interaction in complex nuclei remains the most important open problem in this field. (380 refs).

Knowledge Management Design Using Collaborative Knowledge Retrieval Function

OpenAIRE

Suryadi, Kadarsah; Sigit Pramudyo, Cahyono

2008-01-01

Knowledge is a key word in the information age. Organizational knowledge provides businesses with a way to compete effectively and efficiently in the market. The performance of many organizations is determined more by their knowledge than their physical assets. Capturing and representing knowledge is critical in knowledge management. The spread of organizational knowledge has made a difficulty in sharing knowledge. This problem creates a longer learning cycle. This research proposes a web bas...

Beyond the Learning Process and toward the Knowledge Creation Process: Linking Learning and Knowledge in the Supportive Learning Culture

Science.gov (United States)

Yoon, Seung Won; Song, Ji Hoon; Lim, Doo Hun

2009-01-01

This integrative literature review synthesizes the concepts and process of organizational knowledge creation with theories of individual learning. The knowledge conversion concept (Nonaka & Takeuchi, 1995; Nonaka, Toyama, & Byosiere, 2001) is used as the basis of the organizational knowledge creation process, while major learning theories relevant…

Using Modern Technologies to Capture and Share Indigenous Astronomical Knowledge

Science.gov (United States)

Nakata, Martin; Hamacher, Duane W.; Warren, John; Byrne, Alex; Pagnucco, Maurice; Harley, Ross; Venugopal, Srikumar; Thorpe, Kirsten; Neville, Richard; Bolt, Reuben

2014-06-01

Indigenous Knowledge is important for Indigenous communities across the globe and for the advancement of our general scientific knowledge. In particular, Indigenous astronomical knowledge integrates many aspects of Indigenous Knowledge, including seasonal calendars, navigation, food economics, law, ceremony, and social structure. Capturing, managing, and disseminating this knowledge in the digital environment poses a number of challenges, which we aim to address using a collaborative project emerging between experts in the higher education, library, archive and industry sectors. Using Microsoft's WorldWide Telescope and Rich Interactive Narratives technologies, we propose to develop software, media design, and archival management solutions to allow Indigenous communities to share their astronomical knowledge with the world on their terms and in a culturally sensitive manner.

Interactive Business Development, Capturing Business Knowledge and Practice: A Case Study

Science.gov (United States)

McKelvie, Gregor; Dotsika, Fefie; Patrick, Keith

2007-01-01

Purpose: The purpose of this paper is to follow the planning and development of MapaWiki, a Knowledge Management System for Mapa, an independent research company that specialises in competitor benchmarking. Starting with the standard requirements to capture, store and share information and knowledge, a system was sought that would allow growth and…

How Knowledge Influences Learning.

Science.gov (United States)

Siegler, Robert S.

1983-01-01

Discusses how children's knowledge can be measured/described, knowledge patterns across diverse concepts, interaction of knowledge/learning, and ways children construct more advanced problem-solving rules to replace less adequate ones. Evidence, drawn from studies on children's acquisition of knowledge about balance beams, suggests that knowledge…

Organisational Learning: Conceptual Links to Individual Learning, Learning Organisation and Knowledge Management

OpenAIRE

Siu Loon Hoe

2007-01-01

Organisational learning has over the years been subject of much study by scholars and managers. In the process, the organisational learning concept has been linked to many other knowledge concepts such as individual learning, learning organisation, and knowledge management. This paper draws from existing literature in organisational behaviour, human resource management, marketing, and information management, to further develop the conceptual links between organisational learning and these kno...

Learning processes across knowledge domains

DEFF Research Database (Denmark)

Hall-Andersen, Lene Bjerg; Broberg, Ole

2014-01-01

Purpose - The purpose of this paper is to shed light on the problematics of learning across knowledge boundaries in organizational settings. The paper specifically explores learning processes that emerge, when a new knowledge domain is introduced into an existing organizational practice with the ...

From capturing nursing knowledge to retrieval of data from a data warehouse.

Science.gov (United States)

Thoroddsen, Asta; Guðjónsdóttir, Hanna K; Guðjónsdóttir, Elisabet

2014-01-01

The purpose of the project was to capture nursing data and knowledge, represent it for use and re-use by retrieval from a data warehouse, which contains both clinical and financial hospital data. Today nurses at LUH use standardized nursing terminologies to document information related to patients and the nursing care in the EHR at all times. Pre-defined order sets for nursing care have been developed using best practice where available and tacit nursing knowledge has been captured and coded with standardized nursing terminologies and made explicit for dissemination in the EHR. All patient-nursing data is permanently stored in a data repository. Core nursing data elements have been selected for transfer and storage in the data warehouse and patient-nursing data are now captured, stored, can be related to other data elements from the warehouse and be retrieved for use and re-use.

How Do Clinicians Learn About Knowledge Translation? An Investigation of Current Web-Based Learning Opportunities.

Science.gov (United States)

Damarell, Raechel A; Tieman, Jennifer J

2017-07-13

Clinicians are important stakeholders in the translation of well-designed research evidence into clinical practice for optimal patient care. However, the application of knowledge translation (KT) theories and processes may present conceptual and practical challenges for clinicians. Online learning platforms are an effective means of delivering KT education, providing an interactive, time-efficient, and affordable alternative to face-to-face education programs. This study investigates the availability and accessibility of online KT learning opportunities for health professionals. It also provides an analysis of the types of resources and associated disciplines retrieved by a range of KT synonyms. We searched a range of bibliographic databases and the Internet (Google advanced option) using 9 KT terms to identify online KT learning resources. To be eligible, resources had to be free, aimed at clinicians, educational in intent, and interactive in design. Each term was searched using two different search engines. The details of the first 100 websites captured per browser (ie, n=200 results per term) were entered into EndNote. Each site was subsequently visited to determine its status as a learning resource. Eligible websites were appraised for quality using the AACODS (Authority, Accuracy, Coverage, Objectivity, Date, Significance) tool. We identified 971 unique websites via our multiple search strategies. Of these, 43 were health-related and educational in intent. Once these sites were evaluated for interactivity, a single website matched our inclusion criteria (Dementia Knowledge Translation Learning Centre). KT is an important but complex system of processes. These processes overlap with knowledge, practice, and improvement processes that go by a range of different names. For clinicians to be informed and competent in KT, they require better access to free learning opportunities. These resources should be designed from the viewpoint of the clinician, presenting KT

Employee performance in the knowledge economy: Capturing the keys to success

Directory of Open Access Journals (Sweden)

Rebecca Fauth

2008-11-01

Full Text Available Rebecca Fauth1, Stephen Bevan1, Peter Mills2,31The Work Foundation, London, UK; 2CIGNA, London, UK; 3The Whittington Hospital, London, UKAbstract: The present study examines the key determinants of employee performance in a knowledge-intensive service firm located in the UK. Using data from a pilot study, we mapped eight performance-related behaviors to two measures of global performance to isolate the strongest predictors of the latter. We also examined the degree to which these associations varied depending on whether employees or their managers reported on performance as well as according to the degree of complexity (eg, ongoing learning, multitasking, problem solving, etc. present in workers’ jobs. Findings revealed that more traditional employee performance-related behaviors (eg, dependability as well as behaviors that have likely increased in importance in the knowledge economy (eg, sharing ideas and information accounted for the most variance in reported global performance. Sharing ideas and information was a particularly important predictor for workers in complex jobs. When the performance-related behaviors were regressed on the organization’s annual employee appraisal ratings, only dependability and time management behaviors were significantly associated with the outcome. As organizational success increasingly is dependent on intangible inputs stemming from the ideas, innovations and creativity of its workforce, organizations need to ensure that they are capturing the full range of behaviors that help to define their success. Further research with a diverse range of organizations will help defi ne this further.Keywords: employee performance, knowledge economy, job complexity

Developing Pre-Service Teachers' Subject Matter Knowledge of Electromagnetism by Integrating Concept Maps and Collaborative Learning

Science.gov (United States)

Govender, Nadaraj

2015-01-01

This case study explored the development of two pre-service teachers' subject matter knowledge (SMK) of electromagnetism while integrating the use of concept maps (CM) and collaborative learning (CL) strategies. The study aimed at capturing how these pre-service teachers' SMK in electromagnetism was enhanced after having been taught SMK in a…

Implicit learning modulates attention capture: evidence from an item-specific proportion congruency manipulation

OpenAIRE

Thomson, David R.; Willoughby, Karen; Milliken, Bruce

2014-01-01

A host of research has now shown that our explicit goals and intentions can, in large part, overcome the capture of visual attention by objects that differ from their surroundings in terms of size, shape, or color. Surprisingly however, there is little evidence for the role of implicit learning in mitigating capture effects despite the fact that such learning has been shown to strongly affect behavior in a host of other performance domains. Here, we employ a modified attention capture paradig...

General Video Game AI: Learning from Screen Capture

OpenAIRE

Kunanusont, Kamolwan; Lucas, Simon M.; Perez-Liebana, Diego

2017-01-01

General Video Game Artificial Intelligence is a general game playing framework for Artificial General Intelligence research in the video-games domain. In this paper, we propose for the first time a screen capture learning agent for General Video Game AI framework. A Deep Q-Network algorithm was applied and improved to develop an agent capable of learning to play different games in the framework. After testing this algorithm using various games of different categories and difficulty levels, th...

Knowledge Creation in Constructivist Learning

Science.gov (United States)

Jaleel, Sajna; Verghis, Alie Molly

2015-01-01

In today's competitive global economy characterized by knowledge acquisition, the concept of knowledge management has become increasingly prevalent in academic and business practices. Knowledge creation is an important factor and remains a source of competitive advantage over knowledge management. Constructivism holds that learners learn actively…

Contribution of Content Knowledge and Learning Ability to the Learning of Facts.

Science.gov (United States)

Kuhara-Kojima, Keiko; Hatano, Giyoo

1991-01-01

In 3 experiments, 1,598 Japanese college students were examined concerning the learning of facts in 2 content domains, baseball and music. Content knowledge facilitated fact learning only in the relevant domain; learning ability facilitated fact learning in both domains. Effects of content knowledge and learning ability were additive. (SLD)

Knowledge and Learning in Engineering Practice

DEFF Research Database (Denmark)

Buch, Anders

2007-01-01

, this chapter discusses the cencept of learning and purports to theorize learning in a Social Theory of Learning (STL). The attempt to reconstruct learning in an STL addresses three main issues: an STL must try to specify the subject-world relationship, describe the 'mechanism' of learning, and identify......During the 20th century, traditional epistemological theories of knowledge have been under siege. In recent years, efforts have been made to reconstruct the concept of 'knowledge' to emphasize its contextual, situated and social character. Drawing on the results and methods of these efforts...... the 'telos' of learning. This attempt will in fact give answers to three fundamental questions: 1) What is learning? 2) How do we learn? and 3) Why do we learn? These questions are discussed in relation to engineering practices of getting to know and learning....

Knowledgeable Feedback via a Cast of Virtual Characters with Different Competences

NARCIS (Netherlands)

Beek, W.; Liem, J.; Linnebank, F.; Bühling, R.; Wißner, M.; Lozano, E.; Gracia del Río, J.; Bredeweg, B.; Biswas, G.; Bull, S.; Kay, J.; Mitrovic, A.

2011-01-01

DynaLearn (http://www.DynaLearn.eu) develops a cognitive artefact that engages learners in an active learning by modelling process to develop conceptual system knowledge. Learners create external representations using diagrams. The diagrams capture conceptual knowledge using the Garp3 Qualitative

The knowledge economy and lifelong learning

DEFF Research Database (Denmark)

Milana, Marcella

2014-01-01

Anmeldelse af bogen: The knowledge economy and lifelong learning. A critical reader, edited by David W. Livingstone and David Guile (Sense Publishers, Rotterdam, 2012.......Anmeldelse af bogen: The knowledge economy and lifelong learning. A critical reader, edited by David W. Livingstone and David Guile (Sense Publishers, Rotterdam, 2012....

Distance learning, problem based learning and dynamic knowledge networks.

Science.gov (United States)

Giani, U; Martone, P

1998-06-01

This paper is an attempt to develop a distance learning model grounded upon a strict integration of problem based learning (PBL), dynamic knowledge networks (DKN) and web tools, such as hypermedia documents, synchronous and asynchronous communication facilities, etc. The main objective is to develop a theory of distance learning based upon the idea that learning is a highly dynamic cognitive process aimed at connecting different concepts in a network of mutually supporting concepts. Moreover, this process is supposed to be the result of a social interaction that has to be facilitated by the web. The model was tested by creating a virtual classroom of medical and nursing students and activating a learning session on the concept of knowledge representation in health sciences.

Knowledge management practices at an institution of higher learning

Directory of Open Access Journals (Sweden)

Judith Mavodza

2012-02-01

Full Text Available Background: This article underscores the fact that society is becoming more and more knowledge-based, and that the organisations that can identify, value, create and evolve their knowledge assets are likely to be more successful than those that do not. Knowledge management (KM is about enhancing the use of organisational knowledge through sound practices of KM and organisational learning. KM practices encompass the capture and/or acquisition of knowledge, its retention and organisation, its dissemination and re-use, and lastly responsiveness to the new knowledge.Objective: The focus of this study was on KM principles and practices that may be in place in the Metropolitan College of New York (MCNY. The argument is that KM and its survival principles and tools may help the College to improve performance. However, there is uncertainty about whether the use of KM principles and tools can partly solve the College’s approach to improving the quality of education it provides.Methods: A mixed methods research methodology encompassing a questionnaire, observation, interviews, and use of institutional documents was used in the investigation.Results: The findings of the study indicate that KM concepts were not universally understood at MCNY.Conclusion: There is a need to create a knowledge inventory at MCNY. This may help the College to develop appropriate institution-wide policies and practices for proper and well organised methods of integrating work processes, collaborating and sharing (including the efficient use of social media, and developing an enabling institutional culture.

Expert knowledge maps for knowledge management: a case study in Traditional Chinese Medicine research.

Science.gov (United States)

Cui, Meng; Yang, Shuo; Yu, Tong; Yang, Ce; Gao, Yonghong; Zhu, Haiyan

2013-10-01

To design a model to capture information on the state and trends of knowledge creation, at both an individual and an organizational level, in order to enhance knowledge management. We designed a graph-theoretic knowledge model, the expert knowledge map (EKM), based on literature-based annotation. A case study in the domain of Traditional Chinese Medicine research was used to illustrate the usefulness of the model. The EKM successfully captured various aspects of knowledge and enhanced knowledge management within the case-study organization through the provision of knowledge graphs, expert graphs, and expert-knowledge biography. Our model could help to reveal the hot topics, trends, and products of the research done by an organization. It can potentially be used to facilitate knowledge learning, sharing and decision-making among researchers, academicians, students, and administrators of organizations.

Capturing, using, and managing quality assurance knowledge for shuttle post-MECO flight design

Science.gov (United States)

Peters, H. L.; Fussell, L. R.; Goodwin, M. A.; Schultz, Roger D.

1991-01-01

Ascent initialization values used by the Shuttle's onboard computer for nominal and abort mission scenarios are verified by a six degrees of freedom computer simulation. The procedure that the Ascent Post Main Engine Cutoff (Post-MECO) group uses to perform quality assurance (QA) of the simulation is time consuming. Also, the QA data, checklists and associated rationale, though known by the group members, is not sufficiently documented, hindering transfer of knowledge and problem resolution. A new QA procedure which retains the current high level of integrity while reducing the time required to perform QA is needed to support the increasing Shuttle flight rate. Documenting the knowledge is also needed to increase its availability for training and problem resolution. To meet these needs, a knowledge capture process, embedded into the group activities, was initiated to verify the existing QA checks, define new ones, and document all rationale. The resulting checks were automated in a conventional software program to achieve the desired standardization, integrity, and time reduction. A prototype electronic knowledge base was developed with Macintosh's HyperCard to serve as a knowledge capture tool and data storage.

KNOWLEDGE TRANSFER AND LEARNING: PROBLEMS OF KNOWLEDGE TRANSFER ASSOCIATED WITH TRYING TO SHORT-CIRCUIT THE LEARNING CYCLE

Directory of Open Access Journals (Sweden)

Sue Newell

2006-11-01

Full Text Available Knowledge is considered to be a key organizational resource in the 21st century and the knowledge management ‘movement’ has alerted organizations to the fact that they should more strategically exploit their knowledge assets. Companies are thus lured by the suggestion that they can gain competitive advantage by the more astute management of their knowledge base and in particular, by the transfer of knowledge across individuals, groups and organizational units, using IT to accomplish this. In this paper, we reflect on this common view of knowledge transfer. More specifically, we question an implication of this view - essentially the possibility of short-circuiting the learning cycle, so that individuals do not have to rely on their personal or shared experiences to identify better practices, but can learn from the codified lessons of others in IT systems. More importantly, we consider the characteristics of knowledge – that knowledge is distributed, ambiguous and disruptive – that makes its transfer highly problematic. Drawing on case research, we relate this to the learning cycle (Kolb 1984 and thereby identify barriers to knowledge transfer. We conclude by considering ways of overcoming these barriers by emphasizing the importance of social systems alongside technical systems.

DynaLearn-An Intelligent Learning Environment for Learning Conceptual Knowledge

NARCIS (Netherlands)

Bredeweg, Bert; Liem, Jochem; Beek, Wouter; Linnebank, Floris; Gracia, Jorge; Lozano, Esther; Wißner, Michael; Bühling, René; Salles, Paulo; Noble, Richard; Zitek, Andreas; Borisova, Petya; Mioduser, David

2013-01-01

Articulating thought in computerbased media is a powerful means for humans to develop their understanding of phenomena. We have created DynaLearn, an intelligent learning environment that allows learners to acquire conceptual knowledge by constructing and simulating qualitative models of how systems

Towards a Continuous Knowledge Learning Engine for Chatbots

OpenAIRE

Mazumder, Sahisnu; Ma, Nianzu; Liu, Bing

2018-01-01

Although chatbots have been very popular in recent years, they still have some serious weaknesses which limit the scope of their applications. One major weakness is that they cannot learn new knowledge during the conversation process, i.e., their knowledge is fixed beforehand and cannot be expanded or updated during conversation. In this paper, we propose to build a general knowledge learning engine for chatbots to enable them to continuously and interactively learn new knowledge during conve...

Knowledge models as agents of meaninful learning and knowledge creation.

OpenAIRE

Fermín María González García; Jorge Fernando Veloz Ortiz; Iovanna Alejandra Rodríguez Moreno; Luis Efrén Velos Ortiz; Beatriz Guardián Soto; Antoni Ballester Valori

2013-01-01

The educational change that pushes the current context requires a shift in the unfortunately predominant positivist-behaviourist model that favours mechanical      memoristic learning, ideal breeding ground for the existence and maintenance of conceptual errors, to another cognitive-constructivist that stimulates meaningful learning to allow students to build and master knowledge, therefore to be more creative and critical. We present here a model of knowledge where students construct new...

Leveraging Faculty Reflective Practice to Understand Active Learning Spaces: Flashbacks and Re-Captures

Science.gov (United States)

Ramsay, Crystal M.; Guo, Xiuyan; Pursel, Barton K.

2017-01-01

Although learning spaces research is not new, research approaches that target the specific teaching and learning experiences of faculty and students who occupy active learning classrooms (ALCs) is nascent. We report on two novels data collection approaches: Flashbacks and Re-Captures. Both leverage faculty reflective practice and provide windows…

Capture and Reuse of Knowledge in ICT-based Decisional Environments

Directory of Open Access Journals (Sweden)

Florin Gheorghe FILIP

2009-01-01

Full Text Available Health care practitioners continually confront with a wide range of challenges, seeking to making difficult diagnoses, avoiding errors, ensuring highest quality, maximizing efficacy and reducing costs. Information technology has the potential to reduce clinical errors and to im-prove the decision making in the clinical milieu. This paper presents a pilot development of a clinical decision support systems (CDSS entitled MEDIS that was designed to incorporate knowledge from heterogeneous environments with the purpose of increasing the efficiency and the quality of the decision making process, and reducing costs based on advances of in-formation technologies, especially under the impact of the transition towards the mobile space. The system aims to capture and reuse knowledge in order to provide real-time access to clinical knowledge for a variety of users, including medical personnel, patients, teachers and students.

On Knowledge of Learning. A Phenomenological Sketch

Directory of Open Access Journals (Sweden)

Käte Meyer-Drawe

2011-02-01

Full Text Available He word “learning” has the endless meanings. The learning occurs not only from knowledge but also as knowledge. Learning in this sense depends not only on our initiative. We cannot just resolve to learn. The whole reliable order can reach deadlock.. The old reliable knowledge and ability mismatchwhile we do not yet have any new possibility. Learning in this sense means a kind of “awakening”, in statu nascendi as the response to a challenge. Thus the condition of learning is sensitiveness to the other or to something, while it is possible via agreement that is not always disposed to us because of our peculiar attitudes. We always think more than we can express. Inevitably, we can do more than we anticipate. Only after the other takes this surplus the knowledge and the ability correspond to reality before they are realized. In learning we are met by another, to which we answer as to something.. This Something is always outstripping the meanings and aspirations. That is why this learning in true sense begins not in us. The destiny of every experience concerning us depends on this, while we cannot anticipate it exactly. Thus, the sense of in statu nascendi corresponds to the saying modo praeterito. 

SUPER LEARNING: PROPITIATORS STRATEGIES OF A PROCESS OF PICK UP OF KNOWLEDGE IN FORM ACCELERATED

Directory of Open Access Journals (Sweden)

Gilma Álamo Sánchez

2007-11-01

Full Text Available To analyze the strategies of reception of knowledge in quick form and the definition of derivative thought processes of the learning transpersonal, it implies the development of investigations that you/they allow to capture the meaning of the application of Superaprendizaje strategies. This way, the study is based in the neuroscience and in the pattern of the mental spheres for the interpretation of the metabolic activities of the neurons, propitiators of the recording of information, the conception of the brain triuno, model of multiple intelligence, spirituality, personality, cognitive processes, intuition, meditation, and Superaprendizaje strategies: breathing, relaxation, music, aroma, and communication assertive conscience, they conform learning transpersonal.

E-learning as a Vehicle for Knowledge Management

NARCIS (Netherlands)

Choenni, R.S.; Walker, R.; Bakker, R; Baets, W.

2001-01-01

Nowadays, companies want to learn from their own experiences and to be able to enhance that experience with best principles and lessons learned from other companies. Companies emphasise the importance of knowledge management, particularly the relationship between knowledge and learning within an

Capturing the Integration of Practice-Based Learning with Beliefs, Values, and Attitudes using Modified Concept Mapping.

Science.gov (United States)

Mcnaughton, Susan; Barrow, Mark; Bagg, Warwick; Frielick, Stanley

2016-01-01

Practice-based learning integrates the cognitive, psychomotor, and affective domains and is influenced by students' beliefs, values, and attitudes. Concept mapping has been shown to effectively demonstrate students' changing concepts and knowledge structures. This article discusses how concept mapping was modified to capture students' perceptions of the connections between the domains of thinking and knowing, emotions, behavior, attitudes, values, and beliefs and the specific experiences related to these, over a period of eight months of practice-based clinical learning. The findings demonstrate that while some limitations exist, modified concept mapping is a manageable way to gather rich data about students' perceptions of their clinical practice experiences. These findings also highlight the strong integrating influence of beliefs and values on other areas of practice, suggesting that these need to be attended to as part of a student's educational program.

Knowledge management in learning communities

NARCIS (Netherlands)

Guizzardi-Silva Souza, R.; Wagner, G.; Aroyo, L.M.

Collaborative learning motivates active participation of individuals in their learning process, which often results in the attaining of creative and critical thinking skills. In this way, students and teachers are viewed as both providers and consumers of knowledge gathered in environments where

Knowledge management in the learning economy

DEFF Research Database (Denmark)

Lundvall, Bengt-Åke

organisation, are more innovative than the average firm. The paper contributes to the empirical foundation for the argument that learning organisations stimulate innovation and competence building and it makes an original conceptual contribution of practical relevance by linking knowledge management to HRM......The purpose of this paper is to show why to build ‘learning organisations' must be a central element of knowledge management. The paper argues that the wide use of information technology has a contradictory impact on knowledge management. On the one hand it extends the potential for codifying...... and innovation management....

Simulation videos presented in a blended learning platform to improve Australian nursing students' knowledge of family assessment.

Science.gov (United States)

Coyne, Elisabeth; Frommolt, Valda; Rands, Hazel; Kain, Victoria; Mitchell, Marion

2018-07-01

The provision of simulation to enhance learning is becoming common practice as clinical placement becomes harder to secure within Bachelor of Nursing programs. The use of simulation videos within a blended learning platform enables students to view best practice and provides relevant links between theory and practice. Four simulation videos depicting family assessment viewed by a cohort of Australian undergraduate nursing students were evaluated. These videos were professionally developed using actors and experienced family nurses. Surveys were used to explore the students' self-assessed knowledge, confidence and learning preferences before and after exposure to blended learning resources. Students' engagement with the simulated videos was captured via the Learning Management System. Time 1 survey was completed by 163 students and Time 2 by 91 students. There was a significant increase in students' perceived knowledge of family theory Item 1 from a mean 4.13 (SD = 1.04) at Time 1 to 4.74 (SD = 0.89) (Z = -4.54 p blended learning resource increases the students' understanding of family assessment and is worth incorporating into future development of courses. Copyright © 2018 Elsevier Ltd. All rights reserved.

Ubiquitous mobile knowledge construction in collaborative learning environments.

Science.gov (United States)

Baloian, Nelson; Zurita, Gustavo

2012-01-01

Knowledge management is a critical activity for any organization. It has been said to be a differentiating factor and an important source of competitiveness if this knowledge is constructed and shared among its members, thus creating a learning organization. Knowledge construction is critical for any collaborative organizational learning environment. Nowadays workers must perform knowledge creation tasks while in motion, not just in static physical locations; therefore it is also required that knowledge construction activities be performed in ubiquitous scenarios, and supported by mobile and pervasive computational systems. These knowledge creation systems should help people in or outside organizations convert their tacit knowledge into explicit knowledge, thus supporting the knowledge construction process. Therefore in our understanding, we consider highly relevant that undergraduate university students learn about the knowledge construction process supported by mobile and ubiquitous computing. This has been a little explored issue in this field. This paper presents the design, implementation, and an evaluation of a system called MCKC for Mobile Collaborative Knowledge Construction, supporting collaborative face-to-face tacit knowledge construction and sharing in ubiquitous scenarios. The MCKC system can be used by undergraduate students to learn how to construct knowledge, allowing them anytime and anywhere to create, make explicit and share their knowledge with their co-learners, using visual metaphors, gestures and sketches to implement the human-computer interface of mobile devices (PDAs).

Knowledge and knowledge bases in the learning process og polish companies

DEFF Research Database (Denmark)

Lorentzen, Anne

2003-01-01

strategies of which are analysed and compared. These strategies have much in common and can be seen as quite successful. Some common problems also exist in relation to mismatches within and between the different knowledge bases. The differences are none the less interesting to consider. They are due......The paper deals with the learning and innovation strategies of manufacturing companies in the economies of transformation. The point of departure is the development of a theoretical framework dealing innovation, knowledge and learning. The case is two manufacturing companies in Poland, the learning...

Participative Knowledge Production of Learning Objects for E-Books.

Science.gov (United States)

Dodero, Juan Manuel; Aedo, Ignacio; Diaz, Paloma

2002-01-01

Defines a learning object as any digital resource that can be reused to support learning and thus considers electronic books as learning objects. Highlights include knowledge management; participative knowledge production, i.e. authoring electronic books by a distributed group of authors; participative knowledge production architecture; and…

Erratum to: The blocking effect in associative learning involves learned biases in rapid attentional capture.

Science.gov (United States)

2018-04-01

Luque, D., Vadillo, M, A., Gutiérrez-Cobo, M, J., Le Pelley, M, E. (2018). The blocking effect in associative learning involves learned biases in rapid attentional capture. Quarterly Journal of Experimental Psychology, 71, 522-544. doi: 10.1080/17470218.2016.1262435. The above article is part of the Special Issue on Associative Learning (in honour of Nick Mackintosh) and was inadvertently published in the February 2018 issue of Quarterly Journal of Experimental Psychology. After publication of the Special Issue, an online collection on Associative Learning will be created on SAGE Journals and this paper will be included in that collection. The Publisher apologises for this error.

Technological learning for carbon capture and sequestration technologies

International Nuclear Information System (INIS)

Riahi, Keywan; Rubin, Edward S.; Taylor, Margaret R.; Schrattenholzer, Leo; Hounshell, David

2004-01-01

This paper analyzes potentials of carbon capture and sequestration technologies (CCT) in a set of long-term energy-economic-environmental scenarios based on alternative assumptions for technological progress of CCT. In order to get a reasonable guide to future technological progress in managing CO 2 emissions, we review past experience in controlling sulfur dioxide (SO 2 ) emissions from power plants. By doing so, we quantify a 'learning curve' for CCT, which describes the relationship between the improvement of costs due to accumulation of experience in CCT construction. We incorporate the learning curve into the energy-modeling framework MESSAGE-MACRO and develop greenhouse gas emissions scenarios of economic, demographic, and energy demand development, where alternative policy cases lead to the stabilization of atmospheric CO 2 concentrations at 550 parts per million by volume (ppmv) by the end of the 21st century. We quantify three types of contributors to the carbon emissions mitigation: (1) demand reductions due to the increased price of energy, (2) fuel switching primarily away from coal, and (3) carbon capture and sequestration from fossil fuels. Due to the assumed technological learning, costs of the emissions reduction for CCT drop rapidly and in parallel with the massive introduction of CCT on the global scale. Compared to scenarios based on static cost assumptions for CCT, the contribution of carbon sequestration is about 50% higher in the case of learning, resulting in cumulative sequestration of CO 2 ranging from 150 to 250 billion (10 9 ) tons with carbon during the 21st century. Also, carbon values (tax) across scenarios (to meet the 550 ppmv carbon concentration constraint) are between 2% and 10% lower in the case of learning for CCT by 2100. The results illustrate that assumptions on technological change are a critical determinant of future characteristics of the energy system, indicating the importance of long-term technology policies in

Knowledge models as agents of meaninful learning and knowledge creation.

Directory of Open Access Journals (Sweden)

Fermín María González García

2013-08-01

Full Text Available 0 0 1 172 952 USAL 7 2 1122 14.0 Normal 0 21 false false false ES JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:Calibri; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-ansi-language:ES; mso-fareast-language:EN-US;} The educational change that pushes the current context requires a shift in the unfortunately predominant positivist-behaviourist model that favours mechanical      memoristic learning, ideal breeding ground for the existence and maintenance of conceptual errors, to another cognitive-constructivist that stimulates meaningful learning to allow students to build and master knowledge, therefore to be more creative and critical. We present here a model of knowledge where students construct new knowledge as a result of significant learning. Students play an active role, learning not only about the product, but also about the process itself (meta-cognition. We also show how to promote teacher activity primarily in order to create the conditions that facilitate the student to transform the information in useful, substantive knowledge, to be  incorporated in his knowledge structure and in his long-term memory. Finally, we provide elements to measure what the student knows and to assess how their cognitive structure has changed regarding their ancient knowledge; that is, to assess the necessary conceptual change.

The Knowledge Dimension of Production Transfer

DEFF Research Database (Denmark)

Riis, Jens Ove; Sørensen, Brian Vejrum; Madsen, Erik Skov

2008-01-01

Purpose Even companies with many years of experience in production transfer tend to focus much attention on planning the physical move and on the explicit knowledge associated with normal production. At best management is aware of the challenges of capturing the tacit individual and collective...... knowledge having been developed over years in the production unit to be transferred. The purpose of this paper is to develop a model for capturing this hidden knowledge as a basis for supporting an accelerated learning on the new site. Methodology The guiding principle states that hidden knowledge can only...... be captured in the course of acting important incidents. Three case studies illustrate and support the developed model. Findings The case studies show that the classification of the model can be used in practice and provide a comprehensive picture of hidden knowledge to be developed in the new site. Research...

Organizational Learning through Knowledge Acquisitions

NARCIS (Netherlands)

Amiryany Araghy, N.; Huysman, M.H.; de Man, A.P.; Cloodt, M.; Vrontis, D.; Weber, Y.; Kaufmann, R.; Tarba, S.

2008-01-01

Many acquisitions in the high-tech industry are motivated by a desire to share knowledge in order to stimulate organizational learning, with the ultimate aim of innovation. However, acquiring a firm does not guarantee that valuable knowledge will be successfully shared. Recent research has in fact

Knowledge Visualization for Self-Regulated Learning

Science.gov (United States)

Wang, Minhong; Peng, Jun; Cheng, Bo; Zhou, Hance; Liu, Jie

2011-01-01

The Web allows self-regulated learning through interaction with large amounts of learning resources. While enjoying the flexibility of learning, learners may suffer from cognitive overload and conceptual and navigational disorientation when faced with various information resources under disparate topics and complex knowledge structures. This study…

Extending the "Knowledge Advantage": Creating Learning Chains

Science.gov (United States)

Maqsood, Tayyab; Walker, Derek; Finegan, Andrew

2007-01-01

Purpose: The purpose of this paper is to develop a synergy between the approaches of knowledge management in a learning organisation and supply chain management so that learning chains can be created in order to unleash innovation and creativity by managing knowledge in supply chains. Design/methodology/approach: Through extensive literature…

Unconscious Attentional Capture Effect Can be Induced by Perceptual Learning

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Zhe Qu

2011-05-01

Full Text Available Previous ERP studies have shown that N2pc serves as an index for salient stimuli that capture attention, even if they are task irrelevant. This study aims to investigate whether nonsalient stimuli can capture attention automatically and unconsciously after perceptual learning. Adult subjects were trained with a visual search task for eight to ten sessions. The training task was to detect whether the target (triangle with one particular direction was present or not. After training, an ERP session was performed, in which subjects were required to detect the presence of either the trained triangle (i.e., the target triangle in the training sessions or an untrained triangle. Results showed that, while the untrained triangle did not elicit an N2pc effect, the trained triangle elicited a significant N2pc effect regardless of whether it was perceived correctly or not, even when it was task irrelevant. Moreover, the N2pc effect for the trained triangle was completely retained 3 months later. These results suggest that, after perceptual learning, previously unsalient stimuli become more salient and can capture attention automatically and unconsciously. Once the facilitating process of the unsalient stimulus has been built up in the brain, it can last for a long time.

Causal Mechanism Graph - A new notation for capturing cause-effect knowledge in software dependability

International Nuclear Information System (INIS)

Huang, Fuqun; Smidts, Carol

2017-01-01

Understanding cause-effect relations between concepts in software dependability engineering is fundamental to various research or industrial activities. Cognitive maps are traditionally used to elicit and represent such knowledge; however they seem incapable of accurately representing complex causal mechanisms in dependability engineering. This paper proposes a new notation called Causal Mechanism Graph (CMG) to elicit and represent the cause-effect domain knowledge embedded in experts’ minds or described in the literature. CMG contains a new set of symbols elicited from domain experts to capture the recurring interaction mechanisms between multiple concepts in software dependability engineering. Furthermore, compared to major existing graphic methods, CMG is particularly robust and suitable for mental knowledge elicitation: it allows one to represent the full range of cause-effect knowledge, accurately or fuzzily as one sees fit depending on the depth of knowledge he/she has. This feature combined with excellent reliability and validity poses CMG as a promising method that has the potential to be used in various areas, such as software dependability requirement elicitation, software dependability assessment and dependability risk control. - Highlights: • A new notation CMG for capturing cause-effect conceptual knowledge in software dependability. • CMG is particularly robust and suitable for mental knowledge representation. • CMG is a visual representation that bridges mental knowledge, natural and mathematical language. • CMG possesses excellent representation capability, validity and inter-coder reliability. • CMG is a fundamental method for various areas in dependability engineering.

Knowledge Management: Individual versus organizational learning

OpenAIRE

Noemí Martínez Caraballo

2007-01-01

During the last two decades, there has been a profusion of articles dealing with the topics organizational learning and knowledge management, on the academic and managerial side. For this reason, the present paper is focused on further analysing these concepts. In particular, the purpose is studying the link between individual and organizational learning, taking into account the literature about knowledge management, and trying to establish the application field and the intersection of them. ...

Knowledge management for libraries

CERN Document Server

Forrestal, Valerie

2015-01-01

Libraries are creating dynamic knowledge bases to capture both tacit and explicit knowledge and subject expertise for use within and beyond their organizations. In this book, readers will learn to move policies and procedures manuals online using a wiki, get the most out of Microsoft SharePoint with custom portals and Web Parts, and build an FAQ knowledge base from reference management applications such as LibAnswers. Knowledge Management for Libraries guides readers through the process of planning, developing, and launching th

Adaptive Knowledge Management of Project-Based Learning

Science.gov (United States)

Tilchin, Oleg; Kittany, Mohamed

2016-01-01

The goal of an approach to Adaptive Knowledge Management (AKM) of project-based learning (PBL) is to intensify subject study through guiding, inducing, and facilitating development knowledge, accountability skills, and collaborative skills of students. Knowledge development is attained by knowledge acquisition, knowledge sharing, and knowledge…

Knowledge Management: Individual versus organizational learning

Directory of Open Access Journals (Sweden)

Noemí Martínez Caraballo

2007-07-01

Full Text Available During the last two decades, there has been a profusion of articles dealing with the topics organizational learning and knowledge management, on the academic and managerial side. For this reason, the present paper is focused on further analysing these concepts. In particular, the purpose is studying the link between individual and organizational learning, taking into account the literature about knowledge management, and trying to establish the application field and the intersection of them. Finally, it is pursued to point out several managerial implications for the companies that must have in consideration that individual and organizational learning are two phenomena different but indissolubly united

Evaluation on knowledge extraction and machine learning in ...

African Journals Online (AJOL)

Evaluation on knowledge extraction and machine learning in resolving Malay word ambiguity. ... No 5S (2017) >. Log in or Register to get access to full text downloads. ... Keywords: ambiguity; lexical knowledge; machine learning; Malay word ...

Preparing learners with partly incorrect intuitive prior knowledge for learning

Directory of Open Access Journals (Sweden)

Andrea eOhst

2014-07-01

Full Text Available Learners sometimes have incoherent and fragmented intuitive prior knowledge that is (partly ‘incompatible’ with the to-be-learned contents. Such knowledge in pieces can cause conceptual disorientation and cognitive overload while learning. We hypothesized that a pre-training intervention providing a generalized schema as a structuring framework for such knowledge in pieces would support (reorganizing-processes of prior knowledge and thus reduce unnecessary cognitive load during subsequent learning. Fifty-six student teachers participated in the experiment. A framework group underwent a pre-training intervention providing a generalized, categorical schema for categorizing primary learning strategies and related but different strategies as a cognitive framework for (re-organizing their prior knowledge. Our control group received comparable factual information but no framework. Afterwards, all participants learned about primary learning strategies. The framework group claimed to possess higher levels of interest and self-efficacy, achieved higher learning outcomes, and learned more efficiently. Hence, providing a categorical framework can help overcome the barrier of incorrect prior knowledge in pieces.

Preparing learners with partly incorrect intuitive prior knowledge for learning

Science.gov (United States)

Ohst, Andrea; Fondu, Béatrice M. E.; Glogger, Inga; Nückles, Matthias; Renkl, Alexander

2014-01-01

Learners sometimes have incoherent and fragmented intuitive prior knowledge that is (partly) “incompatible” with the to-be-learned contents. Such knowledge in pieces can cause conceptual disorientation and cognitive overload while learning. We hypothesized that a pre-training intervention providing a generalized schema as a structuring framework for such knowledge in pieces would support (re)organizing-processes of prior knowledge and thus reduce unnecessary cognitive load during subsequent learning. Fifty-six student teachers participated in the experiment. A framework group underwent a pre-training intervention providing a generalized, categorical schema for categorizing primary learning strategies and related but different strategies as a cognitive framework for (re-)organizing their prior knowledge. Our control group received comparable factual information but no framework. Afterwards, all participants learned about primary learning strategies. The framework group claimed to possess higher levels of interest and self-efficacy, achieved higher learning outcomes, and learned more efficiently. Hence, providing a categorical framework can help overcome the barrier of incorrect prior knowledge in pieces. PMID:25071638

An Integrated Open Approach to Capturing Systematic Knowledge for Manufacturing Process Innovation Based on Collective Intelligence

Directory of Open Access Journals (Sweden)

Gangfeng Wang

2018-02-01

Full Text Available Process innovation plays a vital role in the manufacture realization of increasingly complex new products, especially in the context of sustainable development and cleaner production. Knowledge-based innovation design can inspire designers’ creative thinking; however, the existing scattered knowledge has not yet been properly captured and organized according to Computer-Aided Process Innovation (CAPI. Therefore, this paper proposes an integrated approach to tackle this non-trivial issue. By analyzing the design process of CAPI and technical features of open innovation, a novel holistic paradigm of process innovation knowledge capture based on collective intelligence (PIKC-CI is constructed from the perspective of the knowledge life cycle. Then, a multi-source innovation knowledge fusion algorithm based on semantic elements reconfiguration is applied to form new public knowledge. To ensure the credibility and orderliness of innovation knowledge refinement, a collaborative editing strategy based on knowledge lock and knowledge–social trust degree is explored. Finally, a knowledge management system MPI-OKCS integrating the proposed techniques is implemented into the pre-built CAPI general platform, and a welding process innovation example is provided to illustrate the feasibility of the proposed approach. It is expected that our work would lay the foundation for the future knowledge-inspired CAPI and smart process planning.

Role of organizational learning and knowledge management

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Haleem Fazal

2017-12-01

Full Text Available This research is based on Electrocell, a US battery manufacturing company, which was facing problems in its marketing and sales departments as evidenced by its low performance. Following a short introduction to the firm, literature reviews the two recently emerged and widely debated topics, that is, organizational learning and knowledge management. It is followed by the reasons for Electrocell’s declination and revival before and after acquisition by Restart, a US cosmetic manufacturing company. Then, Knowledge Sharing Model, General Hierarchical Model of Organizational Commitment, Knowledge Management, and Learning Organization Capacity, and Three Dimensional Model are described and critically analyzed. At the end, Knowledge Management System Conceptual Model is applied on the case study thoroughly and critically analyzed followed by summary. The research contributes to the literature and offers important implications for academics, managers and strategists that why learning is important and how does it matter to an organization.

Discovering Learning Strategy to Increase Metacognitive Knowledge in Biology Learning in Secondary School

Directory of Open Access Journals (Sweden)

Y. Herlanti

2017-04-01

Full Text Available The study is aimed at finding an effective learning strategy that can increase metacognitive knowledge. Metacognitive knowledge is a standard that based on 2016-revised edition of 2013 curriculum needs to be achieved by every graduate in all level of education in Indonesia. The study is conducted in three different schools and engages 207 students, which then divided into six groups. The groups are students who study under mind mapping strategy, concept mapping, reciprocal teaching using summary notes, reciprocal teaching using mind mapping, problem-based learning, and investigation group. The results showed that those studying under problem-based learning strategy spent a significantly higher numbers in metacognitive knowledge in biology learning and followed by students who study under reciprocal teaching using mind mapping. According to the finding, it is expected that teachers of Biology will practice problem-based learning strategy in their classroom in order to increase the Metacognitive knowledge.

Knowledge translation in healthcare: Incorporating theories of learning and knowledge from the management literature.

Science.gov (United States)

Oborn, Eivor; Barrett, Michael; Racko, Girts

2013-01-01

The authors draw selectively on theories of learning and knowledge, which currently have received little attention from knowledge translation (KT) researchers, and suggest how they might usefully inform future development of the KT literature. The purpose of this paper is to provide conceptual tools and strategies for the growing number of managers, clinicians and decision makers navigating this arena The authors conducted a narrative review to synthesise two streams of literature and examine evolving conceptual landscape concerning knowledge translation over the previous three decades. Conceptual mapping was used iteratively to develop and synthesise the literature. Iterative feedback from relevant research and practice stakeholder groups was used to focus and strengthen the review. KT has been conceptualised along three competing frames; one focusing on linear (largely unidirectional) transfer of knowledge; one focusing on KT as a social process; and another that seeks to more fully incorporate contextual issues in understanding research implementation. Three overlapping themes are found in the management literature that inform these debates in the health literature, namely knowledge boundaries, organisational learning and absorptive capacity. Literature on knowledge boundaries problematizes the nature of boundaries and the stickiness of knowledge. Organisational learning conceptualises the need for organisational wide systems to facilitate learning processes; it also draws on a more expansive view of knowledge. Absorptive capacity focuses at the firm level on the role of developing organisational capabilities that enable the identification, assimilation and use of new knowledge to enable innovation. The paper highlights the need to consider KT processes at multiple levels, including individual, organisational and strategic levels. These are important not only for research but also have practical implications for individuals and organisations involved in KT

Examining Change in Metacognitive Knowledge and Metacognitive Control During Motor Learning: What Can be Learned by Combining Methodological Approaches?

Directory of Open Access Journals (Sweden)

Claire Sangster Jokić

2014-04-01

Full Text Available Growing recognition of the importance of understanding metacognitive behaviour as it occurs in everyday learning situations has prompted an expansion of the methodological approaches used to examine metacognition. This becomes especially pertinent when examining the process of metacognitive change, where 'on-line' observational approaches able to capture metacognitive performance as it occurs during socially-mediated learning are being increasingly applied. This study applied a mixed methods approach to examine children's metacognitive performance as it was exhibited during participation in an intervention program aimed at addressing motor performance difficulties. Participants in the study were ten 7-9 year old children with developmental coordination disorder (DCD, a condition characterized by poor motor coordination and difficulty acquiring motor-based tasks. All participants engaged in a 10-session program in which children were taught to use a problem-solving strategy for addressing motor performance difficulties. To examine children's metacognitive performance, sessions were video-taped and subsequently analysed using a quantitative observational coding method and an in-depth qualitative review of therapist-child interactions. This allowed for a fine-grained analysis of children's demonstration of metacognitive knowledge and control and how such performance evolved over the course of the program. Of particular interest was the finding that while children were often able to express task-specific knowledge, they failed to apply this knowledge during practice. Conversely, children were often able to demonstrate performance-based evidence for metacognitive control but were not able to make conscious reports of such skill following practice. This finding is consistent with models of metacognitive development which suggest that the emergence of performance-based metacognitive skills precede the ability for the conscious expression of

Search and capture of tacit knowledge and their transference to work

International Nuclear Information System (INIS)

Lucas, A. S.

2006-01-01

The organizational changes due to internal promotion or personal rotation require that new workers acquire proper training adapted to needed knowledge, abilities and attitudes. Training should allow make their work suitably. It is not enough teaching associated technical competence to the technology but it is necessary to complement them with abilities associated to the interaction with the people at social level, communication, team work... etc. current training programs tries to reach two objectives, one focused on providing explicit knowledge (gathered in documents, procedures, others) and on other centred in the tacit knowledge. This tacit knowledge is most of the times no structured, nor recorded in document. Implicitly, tacit knowledge remains in outcome workers (manners to work, attitude to face activities, relationship with peers, clients or others. Usually, new worker is able to catch tacit knowledge during on-the-job training process in contact with the outcomes worker (always the training program include this phase of overlap). The best would be to collect and transfer tacit knowledge, at least critic knowledge associated to the job position. This paper presents an overview of important points associated to the tools to retain the explicit knowledge and two tools to capture the tacit knowledge. In addition, main concepts and definitions of these tools will be briefly describes, and benefits to incorporate these tools to the organization dynamics, as well. These tools will cause safer, reliable and efficient organization. (Author)

Using Knowledge-Based Systems to Support Learning of Organizational Knowledge: A Case Study

Science.gov (United States)

Cooper, Lynne P.; Nash, Rebecca L.; Phan, Tu-Anh T.; Bailey, Teresa R.

2003-01-01

This paper describes the deployment of a knowledge system to support learning of organizational knowledge at the Jet Propulsion Laboratory (JPL), a US national research laboratory whose mission is planetary exploration and to 'do what no one has done before.' Data collected over 19 weeks of operation were used to assess system performance with respect to design considerations, participation, effectiveness of communication mechanisms, and individual-based learning. These results are discussed in the context of organizational learning research and implications for practice.

Open Source for Knowledge and Learning Management: Strategies beyond Tools

Science.gov (United States)

Lytras, Miltiadis, Ed.; Naeve, Ambjorn, Ed.

2007-01-01

In the last years, knowledge and learning management have made a significant impact on the IT research community. "Open Source for Knowledge and Learning Management: Strategies Beyond Tools" presents learning and knowledge management from a point of view where the basic tools and applications are provided by open source technologies.…

Active Learning Innovations in Knowledge Management Education Generate Higher Quality Learning Outcomes

Directory of Open Access Journals (Sweden)

Arthur Shelley

2014-01-01

Full Text Available Innovations in how a postgraduate course in knowledge management is delivered have generated better learning outcomes and made the course more engaging for learners. Course participant feedback has shown that collaborative active learning is preferred and provides them with richer insights into how knowledge is created and applied to generate innovation and value. The course applies an andragogy approach in which students collaborate in weekly dialogue of their experiences of the content, rather than learn the content itself. The approach combines systems thinking, learning praxis, and active learning to explore the interdependencies between topics and how they impact outcomes in real world situations. This has stimulated students to apply these ideas in their own workplaces.

E-Learning Barriers and Solutions to Knowledge Management and Transfer

Science.gov (United States)

Oye, Nathaniel David; Salleh, Mazleena

2013-01-01

This paper present a systematic overview of barriers and solutions of e-learning in knowledge management (KM) and knowledge transfer (KT) with more focus on organizations. The paper also discusses KT in organizational settings and KT in the field of e-learning. Here, an e-learning initiative shows adaptive solutions to overcome knowledge transfer…

Integrating Video-Capture Virtual Reality Technology into a Physically Interactive Learning Environment for English Learning

Science.gov (United States)

Yang, Jie Chi; Chen, Chih Hung; Jeng, Ming Chang

2010-01-01

The aim of this study is to design and develop a Physically Interactive Learning Environment, the PILE system, by integrating video-capture virtual reality technology into a classroom. The system is designed for elementary school level English classes where students can interact with the system through physical movements. The system is designed to…

The management of nuclear knowledge and expertise for sustainable development

International Nuclear Information System (INIS)

Stumpf, W.

2004-01-01

Knowledge is the key resource of most organisations in today's world. To manage it effectively requires the concept of organisational knowledge rather than simply knowledge that is centered in individuals. This needs to be addressed through the concept of an 'organisational core competency' that has proven itself within many organisations. Hard knowledge can be captured easily but not the nebulous 'tacit learning' that is embodied in the life-long experience of employees. Some of the more recent methods to capture the tacit learning within organisations are explored. Since the middle 1990s, the International Atomic Energy Agency has redirected its technical co-operation (TC) programme towards a focused 'needs driven' approach away from the former 'technologically driven' approach. From a 'before' and 'after' comparison, it is concluded that the new strategy is better placed to manage the preservation of the nuclear knowledge and to ensure the sustainability of these projects. (author)

Neuro-symbolic representation learning on biological knowledge graphs

KAUST Repository

Alshahrani, Mona

2017-04-21

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.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 SemanticWeb 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 Knowledge Circulated-Organisational Management for Accomplishing E-Learning

Directory of Open Access Journals (Sweden)

Toshio Okamoto

2009-03-01

Full Text Available Nowadays, e-Learning has been used in many kinds of educational institutes as a regular learning/teaching system. In the real practices, Educational knowledge management among the relevant organizations is quite important. This means “knowledge in universities circulated-systematic process” of finding, selecting, organising, distilling and presenting information in a way that improves a learner‟s competency and/or ability to fulfil his or her necessary learning objectives. In order to construct such educational management systems, the fundamental processing modules are required, such as a distributed file system, synchronous data communications, etc. If any applications and tools related to e-Learning can be plugged into the core framework, we can build an integrated e-Learning environment where learners/teachers can share/operate this software/data in real time. Universities also have many organisations to perform educational activities and researches. In order to operate and manage an e-Learning system, the information/knowledge occurring in each of organisations must be connected seamlessly and integrated under the standardised data format and the procedure of job-processing. In this paper, we mention the conceptual framework of Knowledge Circulated-Organizational Management according to our experiences of UEC-GP project. Moreover, we introduce how to construct & analyze the content-frames of e-Learning as technological knowledge on Instructional Design.

Learning Management Systems: Are They Knowledge Management Tools?

Directory of Open Access Journals (Sweden)

Bayan Aref Abu Shawar

2010-03-01

Full Text Available The new adventure of online world has helped to improve many domains and sectors. Knowledge management era which originally related to business sector is now required in industry, health, or any institute that needs to manage its knowledge. Education is no exception! The advancement in computers speed and memory, and the growth of Internet usage are behind the inspiration of e-learning approach. In which the computer is used as a medium to deliver and share educational materials and knowledge instead of face-to-face tutoring. This makes education available to any one, any place, and any time as learner need. This paper presents the relationship between knowledge management and learning management system (LMS that is used in e-learning paradigms. A detailed description of the LMS used at Arab Open University (AOU is included in this paper. We claim that the LMS used at AOU can be considered as a knowledge management tool.

Implicit Learning Modulates Attention Capture: Evidence from an Item-Specific Proportion Congruency Manipulation

Directory of Open Access Journals (Sweden)

David R Thomson

2014-06-01

Full Text Available A host of research has now shown that our explicit goals and intentions can, in large part, overcome the capture of visual attention by objects that differ from their surroundings in terms of size, shape, or color. Surprisingly however, there is little evidence for the role of implicit learning in mitigating capture effects despite the fact that such learning has been shown to strongly affect behavior in a host of other performance domains. Here, we employ a modified attention capture paradigm, based on the work of Theeuwes (1991; 1992, in which participants must search for an odd-shaped target amongst homogeneous distracters. On each trial, there is also a salient, but irrelevant odd-colored distracter. Across the experiments reported, we intermix two search contexts: for one set of distracters (e.g. squares the shape singleton and color singleton coincide on a majority of trials (high proportion congruent condition, whereas for the other set of distracters (e.g. circles the shape and color singletons are highly unlikely to coincide (low proportion congruent condition. Crucially, we find that observers learn to allow the capture of attention by the salient distracter to a greater extent in the high, compared to the low proportion congruent condition, albeit only when search is sufficiently difficult. Moreover, this effect of prior experience on search behavior occurs in the absence of awareness of our proportion manipulation. We argue that low-level properties of the search displays recruit representations of prior experience in a rapid, flexible, and implicit manner.

Implicit learning modulates attention capture: evidence from an item-specific proportion congruency manipulation.

Science.gov (United States)

Thomson, David R; Willoughby, Karen; Milliken, Bruce

2014-01-01

A host of research has now shown that our explicit goals and intentions can, in large part, overcome the capture of visual attention by objects that differ from their surroundings in terms of size, shape, or color. Surprisingly however, there is little evidence for the role of implicit learning in mitigating capture effects despite the fact that such learning has been shown to strongly affect behavior in a host of other performance domains. Here, we employ a modified attention capture paradigm, based on the work of Theeuwes (1991, 1992), in which participants must search for an odd-shaped target amongst homogeneous distracters. On each trial, there is also a salient, but irrelevant odd-colored distracter. Across the experiments reported, we intermix two search contexts: for one set of distracters (e.g., squares) the shape singleton and color singleton coincide on a majority of trials (high proportion congruent condition), whereas for the other set of distracters (e.g., circles) the shape and color singletons are highly unlikely to coincide (low proportion congruent condition). Crucially, we find that observers learn to allow the capture of attention by the salient distracter to a greater extent in the high, compared to the low proportion congruent condition, albeit only when search is sufficiently difficult. Moreover, this effect of prior experience on search behavior occurs in the absence of awareness of our proportion manipulation. We argue that low-level properties of the search displays recruit representations of prior experience in a rapid, flexible, and implicit manner.

Mediated learning in the workplace: student perspectives on knowledge resources.

Science.gov (United States)

Shanahan, Madeleine

2015-01-01

In contemporary clinical practice, student radiographers can use many types of knowledge resources to support their learning. These include workplace experts, digital and nondigital information sources (eg, journals, textbooks, and the Internet), and electronic communication tools such as e-mail and social media. Despite the range of knowledge tools available, there is little available data about radiography students' use of these resources during clinical placement. A 68-item questionnaire was distributed to 62 students enrolled in an Australian university undergraduate radiography program after they completed a clinical placement. Researchers used descriptive statistics to analyze student access to workplace experts and their use of digital and nondigital information sources and electronic communication tools. A 5-point Likert scale (1 = very important; 5 = not important) was used to assess the present importance and perceived future value of knowledge tools for workplace learning. Of the 53 students who completed and returned the questionnaire anonymously, most rely on the knowledge of practicing technologists and on print and electronic information sources to support their learning; some students also use electronic communication tools. Students perceive that these knowledge resources also will be important tools for their future learning as qualified health professionals. The findings from this study present baseline data regarding the value students attribute to multiple knowledge tools and regarding student access to and use of these tools during clinical placement. In addition, most students have access to multiple knowledge tools in the workplace and incorporate these tools simultaneously into their overall learning practice during clinical placement. Although a range of knowledge tools is used in the workplace to support learning among student radiographers, the quality of each tool should be critically analyzed before it is adopted in practice

Individual learning effects on knowledge transfer in international joint ventures

DEFF Research Database (Denmark)

Dao, Li Thuy; Napier, Nancy

2016-01-01

This paper examines micro (individual-level) aspects of knowledge transfer and learning in international joint ventures in an emerging economy context. Learning by expatriate and local managers appears far more complex, mutually dependent, and significant to the knowledge transfer process than...... suggested in existing literature. Building upon conceptualizations of individual learning and cognitive – behavioural effects in an organisational context while drawing evidence from two cases of Danish – Vietnamese joint ventures, we propose a model of individual-level knowledge transfer and learning...

Learning about knowledge management for improving environmental impact assessment in a government agency: the Western Australian experience.

Science.gov (United States)

Sánchez, Luis Enrique; Morrison-Saunders, Angus

2011-09-01

How does knowledge management (KM) by a government agency responsible for environmental impact assessment (EIA) potentially contribute to better environmental assessment and management practice? Staff members at government agencies in charge of the EIA process are knowledge workers who perform judgement-oriented tasks highly reliant on individual expertise, but also grounded on the agency's knowledge accumulated over the years. Part of an agency's knowledge can be codified and stored in an organizational memory, but is subject to decay or loss if not properly managed. The EIA agency operating in Western Australia was used as a case study. Its KM initiatives were reviewed, knowledge repositories were identified and staff surveyed to gauge the utilisation and effectiveness of such repositories in enabling them to perform EIA tasks. Key elements of KM are the preparation of substantive guidance and spatial information management. It was found that treatment of cumulative impacts on the environment is very limited and information derived from project follow-up is not properly captured and stored, thus not used to create new knowledge and to improve practice and effectiveness. Other opportunities for improving organizational learning include the use of after-action reviews. The learning about knowledge management in EIA practice gained from Western Australian experience should be of value to agencies worldwide seeking to understand where best to direct their resources for their own knowledge repositories and environmental management practice. Copyright © 2011 Elsevier Ltd. All rights reserved.

The knowledge-learning-instruction framework: bridging the science-practice chasm to enhance robust student learning.

Science.gov (United States)

Koedinger, Kenneth R; Corbett, Albert T; Perfetti, Charles

2012-07-01

Despite the accumulation of substantial cognitive science research relevant to education, there remains confusion and controversy in the application of research to educational practice. In support of a more systematic approach, we describe the Knowledge-Learning-Instruction (KLI) framework. KLI promotes the emergence of instructional principles of high potential for generality, while explicitly identifying constraints of and opportunities for detailed analysis of the knowledge students may acquire in courses. Drawing on research across domains of science, math, and language learning, we illustrate the analyses of knowledge, learning, and instructional events that the KLI framework affords. We present a set of three coordinated taxonomies of knowledge, learning, and instruction. For example, we identify three broad classes of learning events (LEs): (a) memory and fluency processes, (b) induction and refinement processes, and (c) understanding and sense-making processes, and we show how these can lead to different knowledge changes and constraints on optimal instructional choices. Copyright © 2012 Cognitive Science Society, Inc.

Learning knowledge as an integral part of competencies in higher education: Effects on students' knowledge

NARCIS (Netherlands)

Van Bommel, Marijke; Boshuizen, Els; Kwakman, Kitty

2011-01-01

Van Bommel, M., Boshuizen, H. P. A., & Kwakman, K. (2010, 25-27 August). Learning knowledge as an integral part of competencies in higher education: Effects on students' knowledge. Paper presented at the 5th EARLI-SIG14 Learning and Professional Development, Munich, Germany.

The Online Learning Knowledge Garden: A Pedagogic Planning Tool for e-Learning

NARCIS (Netherlands)

Scott, Bernard

2006-01-01

Please, cite this publication as: Scott, B. (2006). The Online Learning Knowledge Garden: A Pedagogic Planning Tool for e-Learning. Proceedings of International Workshop in Learning Networks for Lifelong Competence Development, TENCompetence Conference. March 30th-31st, Sofia, Bulgaria:

Neuro-symbolic representation learning on biological knowledge graphs.

Science.gov (United States)

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.

Studi E-Learning Berbasis Knowledge Management Lingkungan Hidup

Directory of Open Access Journals (Sweden)

Prasetya Cahya Saputra

2013-12-01

Full Text Available National sustainable development needs to take into account the utilization of environmental natural resources for future generations. For the community, environment is a space or a place to stay for that need to be more preserved than utilized. Collaboration between knowledge of environment and preservation with ICT knowledge can be developed into a management system which is environmental knowledge management systems. Approach on the efficiency and effectiveness of ICT, which include variable timing, capacity, relevance,accessibility, flexibility, accuracy and reliability, can be used to explore the success determinants of communitybased environmental conservation as a central participant. Analysis method of this study uses the Core Processof KM consisting knowledge identification, knowledge aqcuition, knowledge development, knowledge sharing and distribution, knowledge utilization, and knowledge retention. Menawhile, the design method uses objectorientedbased approach (OOAD that contains the UML diagrams, followed by evaluation and verification of test results of the e-learning application prototype which will be measured by IT Balanced Scorecard through four perspectives, namely: (1 government contribution; (2 society orientation, (3 excellent operation, (4future orientation. With the formulation of the critical success factors is then developed a virtual learning model, in order to raise public awareness of the importance of environmental preservation. The result is a prototype model of environmental KMS application or e-learning which will be piloted in a few areas, especially in Jabodetabek.

Stochastic abstract policies: generalizing knowledge to improve reinforcement learning.

Science.gov (United States)

Koga, Marcelo L; Freire, Valdinei; Costa, Anna H R

2015-01-01

Reinforcement learning (RL) enables an agent to learn behavior by acquiring experience through trial-and-error interactions with a dynamic environment. However, knowledge is usually built from scratch and learning to behave may take a long time. Here, we improve the learning performance by leveraging prior knowledge; that is, the learner shows proper behavior from the beginning of a target task, using the knowledge from a set of known, previously solved, source tasks. In this paper, we argue that building stochastic abstract policies that generalize over past experiences is an effective way to provide such improvement and this generalization outperforms the current practice of using a library of policies. We achieve that contributing with a new algorithm, AbsProb-PI-multiple and a framework for transferring knowledge represented as a stochastic abstract policy in new RL tasks. Stochastic abstract policies offer an effective way to encode knowledge because the abstraction they provide not only generalizes solutions but also facilitates extracting the similarities among tasks. We perform experiments in a robotic navigation environment and analyze the agent's behavior throughout the learning process and also assess the transfer ratio for different amounts of source tasks. We compare our method with the transfer of a library of policies, and experiments show that the use of a generalized policy produces better results by more effectively guiding the agent when learning a target task.

Lecture capturing assisted teaching and learning experience

Science.gov (United States)

Chen, Li

2015-03-01

When it comes to learning, a deep understanding of the material and a broadband of knowledge are equally important. However, provided limited amount of semester time, instructors often find themselves struggling to reach both aspects at the same time and are often forced to make a choice between the two. On one hand, we would like to spend much time to train our students, with demonstrations, step by step guidance and practice, to develop strong critical thinking skills and problem-solving skills. On the other hand, we also would like to cover a wide range of content topics to broaden our students' understanding. In this presentation, we propose a working scheme that may assist to achieve these two goals at the same time without sacrificing either one. With the help of recorded and pre-recorded lectures and other class materials, it allows instructors to spend more class time to focus on developing critical thinking skills and problem-solving skills, and to apply and connect principle knowledge with real life phenomena. It also allows our students to digest the material at a pace they are comfortable with by watching the recorded lectures over and over. Students now have something as a backup to refer to when they have random mistakes and/or missing spots on their notes, and hence take more ownership of their learning. Advanced technology have offered flexibility of how/when the content can be delivered, and have been assisting towards better teaching and learning strategies.

Knowledge-Based Reinforcement Learning for Data Mining

Science.gov (United States)

Kudenko, Daniel; Grzes, Marek

Data Mining is the process of extracting patterns from data. Two general avenues of research in the intersecting areas of agents and data mining can be distinguished. The first approach is concerned with mining an agent’s observation data in order to extract patterns, categorize environment states, and/or make predictions of future states. In this setting, data is normally available as a batch, and the agent’s actions and goals are often independent of the data mining task. The data collection is mainly considered as a side effect of the agent’s activities. Machine learning techniques applied in such situations fall into the class of supervised learning. In contrast, the second scenario occurs where an agent is actively performing the data mining, and is responsible for the data collection itself. For example, a mobile network agent is acquiring and processing data (where the acquisition may incur a certain cost), or a mobile sensor agent is moving in a (perhaps hostile) environment, collecting and processing sensor readings. In these settings, the tasks of the agent and the data mining are highly intertwined and interdependent (or even identical). Supervised learning is not a suitable technique for these cases. Reinforcement Learning (RL) enables an agent to learn from experience (in form of reward and punishment for explorative actions) and adapt to new situations, without a teacher. RL is an ideal learning technique for these data mining scenarios, because it fits the agent paradigm of continuous sensing and acting, and the RL agent is able to learn to make decisions on the sampling of the environment which provides the data. Nevertheless, RL still suffers from scalability problems, which have prevented its successful use in many complex real-world domains. The more complex the tasks, the longer it takes a reinforcement learning algorithm to converge to a good solution. For many real-world tasks, human expert knowledge is available. For example, human

knowledge management practices in higher learning institutions

African Journals Online (AJOL)

user

Knowledge Management (KM) Practices in Institutions of Higher Learning in .... quality and skills to cope with the labour market demands. .... Total. 44. 100.0. Source: Field Data (2012/13). Staff's Level of Awareness of Knowledge Management.

Teaching & Learning for International Students in a 'Learning Community': Creating, Sharing and Building Knowledge

Directory of Open Access Journals (Sweden)

Linzi Kemp, PhD

2010-08-01

Full Text Available This article considers the culture of learning communities for effective teaching. A learning community is defined here as an environment where learners are brought together to share information, to learn from each other, and to create new knowledge. The individual student develops her/his own learning by building on learning from others. In a learning community approach to teaching, educators can ensure that students gain workplace skills such as collaboration, creativity, critical thinking, and problem solving. In this case study, it is shown how an active learning community, introduced into a blended teaching environment (face-to-face and virtual, effectively supported international undergraduates in the building of knowledge and workplace skills.

Editorial: Collaborative Knowledge Management and E-Learning

Directory of Open Access Journals (Sweden)

Helen S. Du

2011-06-01

Full Text Available Finding effective ways to collaborate, and to create and share knowledge among people who are connected via disperse networks is one of the most challenging tasks. Many of our traditional learning models and educational systems are not yet ready for new forms of collaboration and knowledge management due to recent technology advancement. To achieve effective education and training, we need to pay attention not only to the technology itself, but also to technology infrastructures, pedagogies, social, and management aspects. This special issue of the KM&EL international journal focuses on recent directions for the alignment of collaborative knowledge management and e-learning, and their rising impact on research and pedagogical practice.

Implementing Moodle for e-learning for a successful knowledge management strategy

Directory of Open Access Journals (Sweden)

Dana Tessier

2016-09-01

Full Text Available A knowledge management strategy was implemented in a call centre organization. Part of this strategy included an e-learning tool ‘Moodle’ to support employee training and knowledge management (KM initiatives. The research looked at the ways in which the e-learning tool could be used to help successfully implement the knowledge management strategy – specifically, to improve knowledge transfer between employees, improve individual and organizational performance and have a better understanding of the critical success factors involved for the KM strategy. The study analyzed three different methods of knowledge transfer to determine which resulted in the highest frequency of use for the knowledge repository. The results showed that by using e-learning, the knowledge repository had a high frequency of use and this shows that e-learning was a successful method of knowledge transfer. To keep employees functioning at an optimal level, employers will need to ensure knowledge management, training, and performance management strategies are aligned, measurable and maximized.

An exploratory study of knowledge brokering in hospital settings: facilitating knowledge sharing and learning for patient safety?

Science.gov (United States)

Waring, Justin; Currie, Graeme; Crompton, Amanda; Bishop, Simon

2013-12-01

This paper reports on an exploratory study of intra-organisational knowledge brokers working within three large acute hospitals in the English National Health Services. Knowledge brokering is promoted as a strategy for supporting knowledge sharing and learning in healthcare, especially in the diffusion of research evidence into practice. Less attention has been given to brokers who support knowledge sharing and learning within healthcare organisations. With specific reference to the need for learning around patient safety, this paper focuses on the structural position and role of four types of intra-organisational brokers. Through ethnographic research it examines how variations in formal role, location and relationships shape how they share and support the use of knowledge across organisational and occupational boundaries. It suggests those occupying hybrid organisational roles, such as clinical-managers, are often best positioned to support knowledge sharing and learning because of their 'ambassadorial' type position and legitimacy to participate in multiple communities through dual-directed relationships. Copyright © 2013 Elsevier Ltd. All rights reserved.

Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective

Science.gov (United States)

Lytras, Miltiadis, Ed.; Naeve, Ambjorn, Ed.

2005-01-01

In the context of Knowledge Society, the convergence of knowledge and learning management is a critical milestone. "Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective" provides state-of-the art knowledge through a balanced theoretical and technological discussion. The semantic web perspective…

The Status Quo of Ontology Learning from Unstructured Knowledge Sources for Knowledge Management

OpenAIRE

Scheuermann , Andreas; Obermann , Jens

2012-01-01

International audience; In the global race for competitive advantage Knowledge Management gains increasing importance for companies. The purposeful and systematic creation, maintenance, and transfer of unstructured knowledge sources demands for advanced Information Technology. Ontologies constitute a basic ingredient of Knowledge Management; thus, ontology learning from unstructured knowledge sources is of particular interest since it bears the potential to bring significant advantages for Kn...

Technology and Products Supporting E-learning by Knowledge Management - A Review

Directory of Open Access Journals (Sweden)

Ying Wang

2014-06-01

Full Text Available Abstract—Knowledge management is supported by many strategies such as business intelligence, collaboration, document management and e-learning. With the development of modern information technology and the increases of demand for building and maintaining dynamic capabilities, E-learning has played more and more important role of all the technologies in the supporting knowledge management. A successful e-learning system is supported by many critical success factors and technology has become the key factor among these factors. Consequently, the review of basic technologies and corresponding products that support e-learning will be in favor of further study on e-learning. From perspective of knowledge management, this paper makes a review about the relationship between e-learning and knowledge management and advanced technologies and corresponding products that support the design and operation of e-learning system. At the end of this paper, we analyze the main trends of the development direction of e-learning technology.

Capturing and portraying science student teachers' pedagogical content knowledge through CoRe construction

Science.gov (United States)

Thongnoppakun, Warangkana; Yuenyong, Chokchai

2018-01-01

Pedagogical content knowledge (PCK) is an essential kind of knowledge that teacher have for teaching particular content to particular students for enhance students' understanding, therefore, teachers with adequate PCK can give content to their students in an understandable way rather than transfer subject matter knowledge to learner. This study explored science student teachers' PCK for teaching science using Content representation base methodology. Research participants were 68 4th year science student teachers from department of General Science, faculty of Education, Phuket Rajabhat University. PCK conceptualization for teaching science by Magnusson et al. (1999) was applied as a theoretical framework in this study. In this study, Content representation (CoRe) by Loughran et al. (2004) was employed as research methodology in the lesson preparation process. In addition, CoRe consisted of eight questions (CoRe prompts) that designed to elicit and portray teacher's PCK for teaching science. Data were collected from science student teachers' CoRes design for teaching a given topic and student grade. Science student teachers asked to create CoRes design for teaching in topic `Motion in one direction' for 7th grade student and further class discussion. Science student teachers mostly created a same group of science concepts according to subunits of school science textbook rather than planned and arranged content to support students' understanding. Furthermore, they described about the effect of student's prior knowledge and learning difficulties such as students' knowledge of Scalar and Vector quantity; and calculating skill. These responses portrayed science student teacher's knowledge of students' understanding of science and their content knowledge. However, they still have inadequate knowledge of instructional strategies and activities for enhance student learning. In summary, CoRes design can represented holistic overviews of science student teachers' PCK related

Prospects for carbon capture and sequestration technologies assuming their technological learning

International Nuclear Information System (INIS)

Riahi, Keywan; Rubin, Edward S.; Schrattenholzer, Leo

2004-01-01

This paper analyzes potentials of carbon capture and sequestration technologies (CCS) in a set of long-term energy-economic-environmental scenarios based on alternative assumptions for technological progress of CCS. In order to get a reasonable guide to future technological progress in managing CO 2 emissions, we review past experience in controlling sulfur dioxide emissions (SO 2 ) from power plants. By doing so, we quantify a 'learning curve' for CCS, which describes the relationship between the improvement of costs due to accumulation of experience in CCS construction. We incorporate the learning curve into the energy modeling framework MESSAGE-MACRO and develop greenhouse gas emissions scenarios of economic, demographic, and energy demand development, where alternative policy cases lead to the stabilization of atmospheric CO 2 concentrations at 550 parts per million by volume (ppmv) by the end of the 21st century. Due to the assumed technological learning, costs of the emissions reduction for CCS drop rapidly and in parallel with the massive introduction of CCS on the global scale. Compared to scenarios based on static cost assumptions for CCS, the contribution of carbon sequestration is about 50 percent higher in the case of learning resulting in cumulative sequestration of CO 2 ranging from 150 to 250 billion (10 9 ) tons carbon during the 21st century. The results illustrate that carbon capture and sequestration is one of the obvious priority candidates for long-term technology policies and enhanced R and D efforts to hedge against the risk associated with high environmental impacts of climate change

Knowledge Representation and Reasoning in Personalized Web-Based e-Learning Applications

DEFF Research Database (Denmark)

Dolog, Peter

2006-01-01

a user inferred from user interactions with the eLeanrning systems is used to adapt o®ered learning resources and guide a learner through them. This keynote gives an overview about knowledge and rules taken into account in current adaptive eLearning prototypes when adapting learning instructions....... Adaptation is usually based on knowledge about learning esources and users. Rules are used for heuristics to match the learning resources with learners and infer adaptation decisions.......Adaptation that is so natural for teaching by humans is a challenging issue for electronic learning tools. Adaptation in classic teaching is based on observations made about students during teaching. Similar idea was employed in user-adapted (personalized) eLearning applications. Knowledge about...

To Capture Dynamic Shop Floor Knowledge in Global Production Networks

DEFF Research Database (Denmark)

Madsen, Erik Skov; Riis, Jens Ove; Sørensen, Brian Vejrum

2007-01-01

­ing of the jobs to be transferred and has led to a changed focus for training new workers. Secondly, the paper will address how to capture the knowl­edge associated with carrying out these jobs. And third, planning the trans­fer process will be discussed to form a basis for future continuous improve...... industrial companies with plans to transfer production units to an­other location, this paper addresses  the initial steps of pursuing this issue by presenting and testing a model for identification of the activities, task and  knowledge on the shop floor jobs. This has provided a broader understand...

Doctoral Student Learning Patterns: Learning about Active Knowledge Creation or Passive Production

Science.gov (United States)

Vekkaila, Jenna; Pyhältö, Kirsi

2016-01-01

Doctoral studies are about learning to create new knowledge and to become a researcher. Yet surprisingly little is known about the individual learning patterns of doctoral students. The study aims to explore learning patterns among natural science doctoral students. The participants included 19 doctoral students from a top-level natural science…

Effectiveness of adolescent suicide prevention e-learning modules that aim to improve knowledge and self-confidence of gatekeepers: study protocol for a randomized controlled trial

OpenAIRE

Ghoncheh, Rezvan; Kerkhof, Ad JFM; Koot, Hans M

2014-01-01

Background Providing e-learning modules can be an effective strategy for enhancing gatekeepers’ knowledge, self-confidence and skills in adolescent suicide prevention. The aim of this study was to test the effectiveness of an online training program called Mental Health Online which consists of eight short e-learning modules, each capturing an important aspect of the process of recognition, guidance and referral of suicidal adolescents (12–20 years). The primary outcomes of this study are par...

Effectiveness of adolescent suicide prevention e-learning modules that aim to improve knowledge and self-confidence of gatekeepers: Study protocol of a randomized controlled trial

OpenAIRE

Ghoncheh, R.; Kerkhof, A.J.F.M.; Koot, H.M.

2014-01-01

Background: Providing e-learning modules can be an effective strategy for enhancing gatekeepers' knowledge, self-confidence and skills in adolescent suicide prevention. The aim of this study was to test the effectiveness of an online training program called Mental Health Online which consists of eight short e-learning modules, each capturing an important aspect of the process of recognition, guidance and referral of suicidal adolescents (12-20 years). The primary outcomes of this study are pa...

Children's informal learning in the context of school of knowledge society

DEFF Research Database (Denmark)

Sørensen, Birgitte Holm; Danielsen, Oluf; Nielsen, Janni

2007-01-01

interactive media. The project shows that in children's spare-time use of ICT they employ informal forms of learning based to a large extent on their social interaction both in physical and virtual spaces. These informal learning forms can be identified as learning hierarchies, learning communities...... and learning networks; they are important contributions to the school of the knowledge society. The ICT in New Learning Environments project based on anthropologically inspired methods and social learning theories shows that students bring their informal forms of learning into the school context. This happens...... working with ICT and project-based learning is shown to simultaneously constitute a mixed mode between the school of the industrial and the knowledge society. The research shows that it is possible to tip the balance in the direction of the school of the knowledge society, and thus of the future...

Learning from the Mars Rover Mission: Scientific Discovery, Learning and Memory

Science.gov (United States)

Linde, Charlotte

2005-01-01

Purpose: Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in knowledge production. This paper uses the Mars Exploration Rover mission as a site to explore this process. Approach: Observational study and analysis of the work of the MER science and engineering team during rover operations, to investigate how learning occurs, how it is recorded, and how these representations might be made available for subsequent missions. Findings: Learning occurred in many areas: planning science strategy, using instrumen?s within the constraints of the martian environment, the Deep Space Network, and the mission requirements; using software tools effectively; and running two teams on Mars time for three months. This learning is preserved in many ways. Primarily it resides in individual s memories. It is also encoded in stories, procedures, programming sequences, published reports, and lessons learned databases. Research implications: Shows the earliest stages of knowledge creation in a scientific mission, and demonstrates that knowledge management must begin with an understanding of knowledge creation. Practical implications: Shows that studying learning and knowledge creation suggests proactive ways to capture and use knowledge across multiple missions and generations. Value: This paper provides a unique analysis of the learning process of a scientific space mission, relevant for knowledge management researchers and designers, as well as demonstrating in detail how new learning occurs in a learning organization.

Fostering Environmental Knowledge and Action through Online Learning Resources

DEFF Research Database (Denmark)

Maier, Carmen Daniela

2010-01-01

In order to secure correct understanding of environmental issues, to promote behavioral change and to encourage environmental action, more and more educational practices support and provide environmental programs. This article explores the design of online learning resources created for teachers...... and students by the GreenLearning environmental education program. The topic is approached from a social semiotic perspective. I conduct a multimodal analysis of the knowledge processes and the knowledge selection types that characterize the GreenLearning environmental education program and its online...

Knowledge discovery based on experiential learning corporate culture management

Science.gov (United States)

Tu, Kai-Jan

2014-10-01

A good corporate culture based on humanistic theory can make the enterprise's management very effective, all enterprise's members have strong cohesion and centripetal force. With experiential learning model, the enterprise can establish an enthusiastic learning spirit corporate culture, have innovation ability to gain the positive knowledge growth effect, and to meet the fierce global marketing competition. A case study on Trend's corporate culture can offer the proof of industry knowledge growth rate equation as the contribution to experiential learning corporate culture management.

Teacher Knowledge for Active-Learning Instruction: Expert-Novice Comparison Reveals Differences.

Science.gov (United States)

Auerbach, A J; Higgins, M; Brickman, P; Andrews, T C

2018-01-01

Active-learning strategies can improve science, technology, engineering, and mathematics (STEM) undergraduates' abilities to learn fundamental concepts and skills. However, the results instructors achieve vary substantially. One explanation for this is that instructors commonly implement active learning differently than intended. An important factor affecting how instructors implement active learning is knowledge of teaching and learning. We aimed to discover knowledge that is important to effective active learning in large undergraduate courses. We developed a lesson-analysis instrument to elicit teacher knowledge, drawing on the theoretical construct of teacher noticing. We compared the knowledge used by expert ( n = 14) and novice ( n = 29) active-learning instructors as they analyzed lessons. Experts and novices differed in what they noticed, with experts more commonly considering how instructors hold students accountable, topic-specific student difficulties, whether the instructor elicited and responded to student thinking, and opportunities students had to generate their own ideas and work. Experts were also better able to support their lesson analyses with reasoning. This work provides foundational knowledge for the future design of preparation and support for instructors adopting active learning. Improving teacher knowledge will improve the implementation of active learning, which will be necessary to widely realize the potential benefits of active learning in undergraduate STEM. © 2018 A. J. Auerbach et al. CBE—Life Sciences Education © 2018 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

Non-formal learning and tacit knowledge in professional work.

Science.gov (United States)

Eraut, M

2000-03-01

This paper explores the conceptual and methodological problems arising from several empirical investigations of professional education and learning in the workplace. 1. To clarify the multiple meanings accorded to terms such as 'non-formal learning', 'implicit learning' and 'tacit knowledge', their theoretical assumptions and the range of phenomena to which they refer. 2. To discuss their implications for professional practice. A largely theoretical analysis of issues and phenomena arising from empirical investigations. The author's typology of non-formal learning distinguishes between implicit learning, reactive on-the-spot learning and deliberative learning. The significance of the last is commonly overemphasized. The problematic nature of tacit knowledge is discussed with respect to both detecting it and representing it. Three types of tacit knowledge are discussed: tacit understanding of people and situations, routinized actions and the tacit rules that underpin intuitive decision-making. They come together when professional performance involves sequences of routinized action punctuated by rapid intuitive decisions based on tacit understanding of the situation. Four types of process are involved--reading the situation, making decisions, overt activity and metacognition--and three modes of cognition--intuitive, analytic and deliberative. The balance between these modes depends on time, experience and complexity. Where rapid action dominates, periods of deliberation are needed to maintain critical control. Finally the role of both formal and informal social knowledge is discussed; and it is argued that situated learning often leads not to local conformity but to greater individual variation as people's careers take them through a series of different contexts. This abstract necessarily simplifies a more complex analysis in the paper itself.

Learning through a portfolio of carbon capture and storage demonstration projects

Science.gov (United States)

Reiner, David M.

2016-01-01

Carbon dioxide capture and storage (CCS) technology is considered by many to be an essential route to meet climate mitigation targets in the power and industrial sectors. Deploying CCS technologies globally will first require a portfolio of large-scale demonstration projects. These first projects should assist learning by diversity, learning by replication, de-risking the technologies and developing viable business models. From 2005 to 2009, optimism about the pace of CCS rollout led to mutually independent efforts in the European Union, North America and Australia to assemble portfolios of projects. Since 2009, only a few of these many project proposals remain viable, but the initial rationales for demonstration have not been revisited in the face of changing circumstances. Here I argue that learning is now both more difficult and more important given the slow pace of deployment. Developing a more coordinated global portfolio will facilitate learning across projects and may determine whether CCS ever emerges from the demonstration phase.

Contextual influences on reverse knowledge transfer

DEFF Research Database (Denmark)

Søberg, Peder Veng

2010-01-01

Further development of theories about how contextual factors influence the beneficial reverse knowledge transfer from subsidiary to head quarters in disparate national country contexts, is the aim of our study. Earlier studies do not fully capture the different effects national country cultures can....... A proposition model is developed where the dependent variable is beneficial reverse knowledge transfer. The independent variables are: higher relative knowledge level in subsidiaty than in HQ, authority respect, activity fit with contextual learning preference. The conclusion suggest that different contexts...

Knowledge acquisition and interface design for learning on demand systems

Science.gov (United States)

Nelson, Wayne A.

1993-01-01

The rapid changes in our world precipitated by technology have created new problems and new challenges for education and training. A knowledge 'explosion' is occurring as our society moves toward a service oriented economy that relies on information as the major resource. Complex computer systems are beginning to dominate the workplace, causing alarming growth and change in many fields. The rapidly changing nature of the workplace, especially in fields related to information technology, requires that our knowledge be updated constantly. This characteristic of modern society poses seemingly unsolvable instructional problems involving coverage and obsolescence. The sheer amount of information to be learned is rapidly increasing, while at the same time some information becomes obsolete in light of new information. Education, therefore, must become a lifelong process that features learning of new material and skills as needed in relation to the job to be done. Because of the problems cited above, the current model of learning in advance may no longer be feasible in our high-technology world. In many cases, learning in advance is impossible because there are simply too many things to learn. In addition, learning in advance can be time consuming, and often results in decontextualized knowledge that does not readily transfer to the work environment. The large and growing discrepancy between the amount of potentially relevant knowledge available and the amount a person can know and remember makes learning on demand an important alternative to current instructional practices. Learning on demand takes place whenever an individual must learn something new in order to perform a task or make a decision. Learning on demand is a promising approach for addressing the problems of coverage and obsolescence because learning is contextualized and integrated into the task environment rather than being relegated to a separate phase that precedes work. Learning on demand allows learners

An agent architecture with on-line learning of both procedural and declarative knowledge

Energy Technology Data Exchange (ETDEWEB)

Sun, R.; Peterson, T.; Merrill, E. [Univ. of Alabama, Tuscaloosa, AL (United States)

1996-12-31

In order to develop versatile cognitive agents that learn in situated contexts and generalize resulting knowledge to different environments, we explore the possibility of learning both declarative and procedural knowledge in a hybrid connectionist architecture. The architecture is based on the two-level idea proposed earlier by the author. Declarative knowledge is represented symbolically, while procedural knowledge is represented subsymbolically. The architecture integrates reactive procedures, rules, learning, and decision-making in a unified framework, and structures different learning components (including Q-learning and rule induction) in a synergistic way to perform on-line and integrated learning.

Concept formation knowledge and experience in unsupervised learning

CERN Document Server

Fisher, Douglas H; Langley, Pat

1991-01-01

Concept Formation: Knowledge and Experience in Unsupervised Learning presents the interdisciplinary interaction between machine learning and cognitive psychology on unsupervised incremental methods. This book focuses on measures of similarity, strategies for robust incremental learning, and the psychological consistency of various approaches.Organized into three parts encompassing 15 chapters, this book begins with an overview of inductive concept learning in machine learning and psychology, with emphasis on issues that distinguish concept formation from more prevalent supervised methods and f

Knowledge Building Conceptualisation within Smart Constructivist Learning Systems

DEFF Research Database (Denmark)

Badie, Farshad

2017-01-01

This chapter focuses on the meeting of Constructivism (as a learning theory) and Smart Learning and, thus, theorises Smart Constructivist Learning. The main field of research is Smart Learning Environments. Relying on the phenomena of ‘meaning construction’ and ‘meaningful understanding production......’ in the framework of smart constructivism, we will focus on analysing Smart Constructivist Knowledge Building. Accordingly, we analysed Learning-and-Constructing-Together as a smart constructivist model. The outcomes of this chapter could support the developments of smart learning strategies....

Use of e-learning in clinical clerkships: effects on acquisition of dermatological knowledge and learning processes

Science.gov (United States)

Martens, Herm; Nagtzaam, Ivo; Heeneman, Sylvia

2018-01-01

Objectives To obtain a deeper understanding of how the e-learning program, Education in Dermatology (ED), affects the acquisition of dermatological knowledge and the underlying learning processes of medical students in their clinical phase. Methods The study used a mixed method design with a convergent parallel collection of data. Medical students (n=62) from Maastricht University (The Netherlands) were randomized to either a conventional teaching group (control group n=30) or conventional teaching plus the e-learning program (application on smartphone) group (e-learning group n=32). Pre- and post-intervention knowledge test results were analysed using an independent t-test. Individual semi-structured interviews (n=9) were conducted and verbatim-transcribed recordings were analysed using King’s template analysis. Results The e-learning program positively influenced students’ level of knowledge and their process of learning. A significant difference was found in the post-test scores for the control group (M=51.4, SD=6.43) and the e-learning group (M=73.09, SD=5.12); t(60)=-14.75, pe-learning program stimulated students’ learning as the application promoted the identification and recognition of skin disorders, the use of references, creation of documents and sharing information with colleagues. Conclusions This study demonstrated that use of the e-learning program led to a significant improvement in basic dermatological knowledge. The underlying learning processes indicated that e-learning programs in dermatology filled a vital gap in the understanding of clinical reasoning in dermatology. These results might be useful when developing (clinical) teaching formats with a special focus on visual disciplines.  PMID:29352748

Use of e-learning in clinical clerkships: effects on acquisition of dermatological knowledge and learning processes.

Science.gov (United States)

Fransen, Frederike; Martens, Herm; Nagtzaam, Ivo; Heeneman, Sylvia

2018-01-17

To obtain a deeper understanding of how the e-learning program, Education in Dermatology (ED), affects the acquisition of dermatological knowledge and the underlying learning processes of medical students in their clinical phase. The study used a mixed method design with a convergent parallel collection of data. Medical students (n=62) from Maastricht University (The Netherlands) were randomized to either a conventional teaching group (control group n=30) or conventional teaching plus the e-learning program (application on smartphone) group (e-learning group n=32). Pre- and post-intervention knowledge test results were analysed using an independent t-test. Individual semi-structured interviews (n=9) were conducted and verbatim-transcribed recordings were analysed using King's template analysis. The e-learning program positively influenced students' level of knowledge and their process of learning. A significant difference was found in the post-test scores for the control group (M=51.4, SD=6.43) and the e-learning group (M=73.09, SD=5.12); t(60)=-14.75, pe-learning program stimulated students' learning as the application promoted the identification and recognition of skin disorders, the use of references, creation of documents and sharing information with colleagues. This study demonstrated that use of the e-learning program led to a significant improvement in basic dermatological knowledge. The underlying learning processes indicated that e-learning programs in dermatology filled a vital gap in the understanding of clinical reasoning in dermatology. These results might be useful when developing (clinical) teaching formats with a special focus on visual disciplines.

Neuro-symbolic representation learning on biological knowledge graphs

KAUST Repository

AlShahrani, Mona; Khan, Mohammed Asif; Maddouri, Omar; Kinjo, Akira R; Queralt-Rosinach, Nú ria; Hoehndorf, Robert

2017-01-01

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

e-Learning Content Design for Corrective Maintenance of Toshiba BMC 80.5 based on Knowledge Conversion using SECI Method: A Case Study in Aerospace Company

Science.gov (United States)

Permata Shabrina, Ayu; Pramuditya Soesanto, Rayinda; Kurniawati, Amelia; Teguh Kurniawan, Mochamad; Andrawina, Luciana

2018-03-01

Knowledge is a combination of experience, value, and information that is based on the intuition that allows an organization to evaluate and combine new information. In an organization, knowledge is not only attached to document but also in routine value creating activities, therefore knowledge is an important asset for the organization. X Corp is a company that focused on manufacturing aerospace components. In carrying out the production process, the company is supported by various machines, one of the machines is Toshiba BMC 80.5. The machine is used occasionally and therefore maintenance activity is needed, especially corrective maintenance. Corrective maintenance is done to make a breakdown machine back to work. Corrective maintenance is done by maintenance operator whose retirement year is close. The long term experience of the maintenance operator needs to be captured by the organization and shared across maintenance division. E-learning is one type of media that can support and assist knowledge sharing. This research purpose is to create the e-learning content for best practice of corrective maintenance activity for Toshiba BMC 80.5 by extracting the knowledge and experience from the operator based on knowledge conversion using SECI method. The knowledge source in this research is a maintenance supervisor and a senior maintenance engineer. From the evaluation of the e-learning content, it is known that the average test score of the respondents who use the e-learning increases from 77.5 to 87.5.

Capturing knowledge integration through collaborations: measures of the diversity and coherence in multiple proximity dimensions

Energy Technology Data Exchange (ETDEWEB)

Lang, F.; Rafols, I.; Hopkins, M.

2016-07-01

This paper proposes a novel approach to determine changes that occur as a result of collaborations that is intended to support knowledge integration. The approach combines and applies indicators of proximity, diversity, coherence and has potential applications in the study and evaluation of research collaborations. The scientometric literature has been exploring the topic of knowledge integration and interdisciplinarity for more than a decade (Bordons, 2004; Zitt, 2005; Rafols, 2014). The paper builds on the line of research that seeks to develop measures of knowledge integration, namely diversity and coherence (Rafols, 2014). Successful exchange and integration of knowledge through collaboration not only requires disciplinary or cognitive diversity, as previously studied in the scientometric literature (Rafols & Meyer, 2009; Rafols, 2014) but also other dimensions linked to the social, cultural background of the individuals involved. Economic geographers have developed a framework, the proximity framework (Boschma, 2005), identifying five features that may be important for collaborative learning which are: cognitive, social, geographical, institutional, and organisational proximities. The paper therefore proposes to use the diversity and coherence measures to not only look at diversity from a cognitive standpoint, but also apply it to the other proximities proposed in the Boschma framework. These indicators will capture the relationship occurring betweenindividuals taking part in the research and the categories (proximity dimensions) that they are associated to. This paper reviews and integrates concepts from economic geography with the scientometric literature on interdisciplinarity to form a conceptual framework that the paper applies to an illustrative case study. In order to apply the framework, the paper develops indicators for diversity and coherence that can be applied to each of Boschma’s five proximities. The illustrative case study looks at

Learning spaces as representational scaffolds for learning conceptual knowledge of system behaviour

NARCIS (Netherlands)

Bredeweg, B.; Liem, J.; Beek, W.; Salles, P.; Linnebank, F.; Wolpers, M.; Kirschner, P.A.; Scheffel, M.; Lindstaedt, S.; Dimitrova, V.

2010-01-01

Scaffolding is a well-known approach to bridge the gap between novice and expert capabilities in a discovery-oriented learning environment. This paper discusses a set of knowledge representations referred to as Learning Spaces (LSs) that can be used to support learners in acquiring conceptual

Knowledge Management through the Equilibrium Pattern Model for Learning

Science.gov (United States)

Sarirete, Akila; Noble, Elizabeth; Chikh, Azeddine

Contemporary students are characterized by having very applied learning styles and methods of acquiring knowledge. This behavior is consistent with the constructivist models where students are co-partners in the learning process. In the present work the authors developed a new model of learning based on the constructivist theory coupled with the cognitive development theory of Piaget. The model considers the level of learning based on several stages and the move from one stage to another requires learners' challenge. At each time a new concept is introduced creates a disequilibrium that needs to be worked out to return back to its equilibrium stage. This process of "disequilibrium/equilibrium" has been analyzed and validated using a course in computer networking as part of Cisco Networking Academy Program at Effat College, a women college in Saudi Arabia. The model provides a theoretical foundation for teaching especially in a complex knowledge domain such as engineering and can be used in a knowledge economy.

Feature selection for domain knowledge representation through multitask learning

CSIR Research Space (South Africa)

Rosman, Benjamin S

2014-10-01

Full Text Available represent stimuli of interest, and rich feature sets which increase the dimensionality of the space and thus the difficulty of the learning problem. We focus on a multitask reinforcement learning setting, where the agent is learning domain knowledge...

PENERAPAN KNOWLEDGE MANAGEMENT: ORAL HISTORY PENANGANAN ARSIP BENCANA TOPAN HAIYAN DI FILIPINA

Directory of Open Access Journals (Sweden)

Aris Riyadi

2016-11-01

Full Text Available Knowledge management process using Nonaka’s SECI model in creation of knowledge can provide guidance for learning and developing activities. Nevertheless, understanding the process of socialization, externalization, combination and internalization needs to be deepened with a lot of practice directly. This article provides a framework for real method that synthesizes basic phases as informal knowledge from an expert who has never capture and promotes knowledge before. Purpose of this article is to open earlier tacit knowledge form into process of socialization and internalization. An expert knowledge how to handling damage records by natural disaster will revealed in explicit way through capture process of oral history. Process for document damage recovery is conducted using disaster management procedure or library materials preservation knowledge. Research method for knowledge capture carried through pre-interview, interview and post-interview. Support data such as form of images, diaries, letters, agreements and others are used to reinforce methodology. Applying this method will produce two knowledge directly which are disaster management knowledge and management knowledge processes.

Conceptualisation of knowledge construction in community service-learning programmes in nursing education

Directory of Open Access Journals (Sweden)

Sindi Z. Mthembu

2013-06-01

Full Text Available Background: Practices in higher education have been criticised for not developing and preparing students for the expertise required in real environments. Literature reports that educational programmes tend to favour knowledge conformation rather than knowledge construction; however, community service learning (CSL is a powerful pedagogical strategy that encourages students to make meaningful connections between the content in the classroom and real-life experiences as manifested by the communities. Through CSL, learning is achieved by the active construction of knowledge supported by multiple perspectives within meaningful real contexts, and the social interactions amongst students are seen to play a critical role in the processes of learning and cognition. This article reflects facilitators’ perspective of the knowledge construction process as used with students doing community service learning in basic nursing programmes. Objectives: The aim of this article was to conceptualise the phenomenon of knowledge construction and thereby provide educators with a shared meaning and common understanding, and to analyse the interaction strategies utilised by nurse educators in the process of knowledge construction in community service-learning programmes in basic nursing education. Method: A qualitative research approach based on a grounded theory research design was used in this article. Two nursing education institutions were purposively selected. Structured interviews were conducted with 16 participants. Results: The results revealed that the knowledge construction in community service-learning programmes is conceptualised as having specific determinants, including the use of authentic health-related problems, academic coaching through scaffolding, academic discourse-dialogue, interactive learning in communities of learners, active learning, continuous reflection as well as collaborative and inquiry-based learning. Upon completion of an experience

Conceptualisation of knowledge construction in community service-learning programmes in nursing education.

Science.gov (United States)

Mthembu, Sindi Z; Mtshali, Fikile G

2013-01-01

Practices in higher education have been criticised for not developing and preparing students for the expertise required in real environments. Literature reports that educational programmes tend to favour knowledge conformation rather than knowledge construction; however, community service learning (CSL) is a powerful pedagogical strategy that encourages students to make meaningful connections between the content in the classroom and real-life experiences as manifested by the communities. Through CSL, learning is achieved by the active construction of knowledge supported by multiple perspectives within meaningful real contexts, and the social interactions amongst students are seen to play a critical role in the processes of learning and cognition. This article reflects facilitators’ perspective of the knowledge construction process as used with students doing community service learning in basic nursing programmes. The aim of this article was to conceptualise the phenomenon of knowledge construction and thereby provide educators with a shared meaning and common understanding, and to analyse the interaction strategies utilised by nurse educators in the process of knowledge construction in community service-learning programmes in basic nursing education. A qualitative research approach based on a grounded theory research design was used in this article. Two nursing education institutions were purposively selected. Structured interviews were conducted with 16 participants. The results revealed that the knowledge construction in community service-learning programmes is conceptualised as having specific determinants, including the use of authentic health-related problems, academic coaching through scaffolding, academic discourse-dialogue, interactive learning in communities of learners, active learning, continuous reflection as well as collaborative and inquiry-based learning. Upon completion of an experience, students create and test generated knowledge in different

Self-Monitoring and Knowledge-Building in Learning by Teaching

Science.gov (United States)

Roscoe, Rod D.

2014-01-01

Prior research has established that learning by teaching depends upon peer tutors' engagement in knowledge-building, in which tutors integrate their knowledge and generate new knowledge through reasoning. However, many tutors adopt a "knowledge-telling bias" defined by shallow summarizing of source materials and didactic lectures.…

Tacit Knowledge in Online Learning: Community, Identity, and Social Capital

Science.gov (United States)

Oztok, Murat

2013-01-01

This article discusses the possibilities that tacit knowledge could provide for social constructivist pedagogies; in particular, pedagogies for online learning. Arguing that the tacit dimension of knowledge is critical for meaning making in situated learning practices and for a community of practice to function, the article considers whether…

Learning Declarative and Procedural Knowledge via Video Lectures: Cognitive Load and Learning Effectiveness

Science.gov (United States)

Hong, Jianzhong; Pi, Zhongling; Yang, Jiumin

2018-01-01

Video lectures are being widely used in online and blended learning classes worldwide, and their learning effectiveness is becoming a focus of many educators and researchers. This study examined the cognitive load and learning effectiveness of video lectures in terms of the type of knowledge being taught (declarative or procedural) and instructor…

Inter-firm Networks, Organizational Learning and Knowledge Updating: An Empirical Study

Science.gov (United States)

Zhang, Su-rong; Wang, Wen-ping

In the era of knowledge-based economy which information technology develops rapidly, the rate of knowledge updating has become a critical factor for enterprises to gaining competitive advantage .We build an interactional theoretical model among inter-firm networks, organizational learning and knowledge updating thereby and demonstrate it with empirical study at last. The result shows that inter-firm networks and organizational learning is the source of knowledge updating.

Automatic Knowledge Base Evolution by Learning Instances

OpenAIRE

Kim, Sundong

2016-01-01

Knowledge base is the way to store structured and unstructured data throughout the web. Since the size of the web is increasing rapidly, there are huge needs to structure the knowledge in a fully automated way. However fully-automated knowledge-base evolution on the Semantic Web is a major challenges, although there are many ontology evolution techniques available. Therefore learning ontology automatically can contribute to the semantic web society significantly. In this paper, we propose ful...

Metacognitive Knowledge in Relation to Inquiry Skills and Knowledge Acquisition Within a Computer-Supported Inquiry Learning Environment

Directory of Open Access Journals (Sweden)

Zrinka Ristić Dedić

2014-04-01

Full Text Available The study examines two components of metacognitive knowledge in the context of inquiry learning: metatask and metastrategic. Existing work on the topic has shown that adolescents often lacked metacognitive understanding necessary for optimal inquiry learning (Keselman & Kuhn, 2002; Kuhn, 2002a; Kuhn, Black, Keselman, & Kaplan, 2000, but demonstrated that engagement with inquiry tasks may improve it (Keselman, 2003; Kuhn & Pearsall, 1998.The aim of the study is to investigate the gains in metacognitive knowledge that occur as a result of repeated engagement with an inquiry learning task, and to examine the relationship between metacognitive knowledge and performance on the task.The participants were 34 eighth grade pupils, who participated in a self-directed experimentation task using the FILE programme (Hulshof, Wilhelm, Beishuizen, & van Rijn, 2005. The task required pupils to design and conduct experiments and to make inferences regarding the causal structure of a multivariable system. Pupils participated in four learning sessions over the course of one month. Metacognitive knowledge was assessed by the questionnaire before and after working in FILE.The results indicate that pupils improved in metacognitive knowledge following engagement with the task. However, many pupils showed insufficient metacognitive knowledge in the post-test and failed to apply newly achieved knowledge to the transfer task. Pupils who attained a higher level of metacognitive knowledge were more successful on the task than pupils who did not improve on metacognitive knowledge. A particular level of metacognitive understanding is a necessary, but not sufficient condition for successful performance on the task.

Pedagogical content knowledge: Knowledge of pedagogy novice teachers in mathematics learning on limit algebraic function

Science.gov (United States)

Ma'rufi, Budayasa, I. Ketut; Juniati, Dwi

2017-02-01

Teacher is one of the key aspects of student's achievement. Teachers should master content material taught, how to teach it, and can interpret the students' thinking so that students easily understand the subject matter. This research was a qualitative research that aimed at describing profile of PCK's teachers in mathematics on limit algebraic functions in terms of the differences of teaching experience. Pedagogical Content Knowledge (PCK) and understanding of teachers is defined as involving the relationship between knowledge of teaching materials, how to transfer the subject matter, and the knowledge of students in mathematics on limit algebraic functions that the subject matter may be understood by students. The PCK components in this research were knowledge of subject matter, knowledge of pedagogy, and knowledge of students. Knowledge of pedagogy defines as knowledge and understanding of teachers about the planning and organization of the learning and teaching strategy of limit algebraic function. The subjects were two mathematics high school teachers who teach in class XI IPS. Data were collected through observation of learning during five meetings and interviews before and after the lesson continued with qualitative data analysis. Focus of this article was to describe novice teacher's knowledge of student in mathematics learning on limit algebraic function. Based on the results of the analysis of qualitative data the data concluded that novice teacher's knowledge of pedagogy in mathematics on limit algebraic function showed: 1) in teaching the definitions tend to identify prior knowledge of the student experience with the material to be studied, but not in the form of a problem, 2) in posing the questions tend to be monotonous non lead and dig, 3) in response to student questions preservice teachers do not take advantage of the characteristics or the potential of other students, 4) in addressing the problem of students, tend to use the drill approach and did

Towards Intelligence and Flexibility of Learning and Knowledge Testing Environments

Directory of Open Access Journals (Sweden)

Nerijus AUKSTAKALNIS

2006-02-01

Full Text Available The proposed goal oriented knowledge acquisition and assessment are based on the flexible educational model and allows to implement an adaptive control of the enhanced learning process according to the requirements of student's knowledge level, his state of cognition and subject learning history. The enhanced learner knowledge model specifies how the cognition state of the user will be achieved step by step. The use case actions definition is a starting point of the specification, which depends on different levels of learning scenarios and user cognition sub goals. The use case actions specification is used as a basis to set the requirements for service software specification and attributes of learning objects respectively. The paper presents the enhanced architecture of the student self-evaluation and on-line assessment system TestTool. The system is explored as an assessment engine capable of supporting and improving the individualized intelligent goal oriented self-instructional and simulation based mode of learning, grounded on the GRID distributed service architecture.

E-learning and nursing assessment skills and knowledge - An integrative review.

Science.gov (United States)

McDonald, Ewan W; Boulton, Jessica L; Davis, Jacqueline L

2018-07-01

This review examines the current evidence on the effectiveness of digital technologies or e-based learning for enhancing the skills and knowledge of nursing students in nursing assessment. This integrative review identifies themes emerging from e-learning and 'nursing assessment' literature. Literature reviews have been undertaken in relation to digital learning and nursing education, including clinical skills, clinical case studies and the nurse-educator role. Whilst perceptions of digital learning are well covered, a gap in knowledge persists for understanding the effectiveness of e-learning on nursing assessment skills and knowledge. This is important as comprehensive assessment skills and knowledge are a key competency for newly qualified nurses. The MEDLINE, CINAHL, Cochrane Library and ProQuest Nursing and Allied Health Source electronic databases were searched for the period 2006 to 2016. Hand searching in bibliographies was also undertaken. Selection criteria for this review included: FINDINGS: Twenty articles met the selection criteria for this review, and five major themes for e-based learning were identified (a) students become self-evaluators; (b) blend and scaffold learning; (c) measurement of clinical reasoning; (d) mobile technology and Facebook are effective; and (e) training and preparation is vital. Although e-based learning programs provide a flexible teaching method, evidence suggests e-based learning alone does not exceed face-to-face patient simulation. This is particularly the case where nursing assessment learning is not scaffolded. This review demonstrates that e-based learning and traditional teaching methods used in conjunction with each other create a superior learning style. Copyright © 2018 Elsevier Ltd. All rights reserved.

Poor knowledge about osteoporosis in learned Indian women.

Science.gov (United States)

Pande, K; Pande, Sonali; Tripathi, S; Kanoi, R; Thakur, A; Patle, S

2005-05-01

The present study was done to assess knowledge about osteoporosis in learned Indian women, identify their source of knowledge and to study the correlation of level of knowledge with other variables. A total of 73 female staff members (average age 44.7 years) of a teaching institute completed the Osteoporosis Questionnaire (OPQ). The mean +/- SD of total score for the sample was 4.1 +/- 4.1 (range -8 to 15; maximum possible score 20). The correct definition of osteoporosis was given by 74%, but there was general lack of awareness in all the areas assessed. There was statistically significant difference in the total score depending on the faculty of education, with staff members from the science faculty having the maximum mean score (p lack of knowledge about osteoporosis in learned Indian women and also the need for increased involvement of medical professionals in patient education.

Designing learning curves for carbon capture based on chemical absorption according to the minimum work of separation

International Nuclear Information System (INIS)

Rochedo, Pedro R.R.; Szklo, Alexandre

2013-01-01

Highlights: • This work defines the minimum work of separation (MWS) for a capture process. • Findings of the analysis indicated a MWS of 0.158 GJ/t for post-combustion. • A review of commercially available processes based on chemical absorption was made. • A review of learning models was conducted, with the addition on a novel model. • A learning curve for post-combustion carbon capture was successfully designed. - Abstract: Carbon capture is one of the most important alternatives for mitigating greenhouse gas emissions in energy facilities. The post-combustion route based on chemical absorption with amine solvents is the most feasible alternative for the short term. However, this route implies in huge energy penalties, mainly related to the solvent regeneration. By defining the minimum work of separation (MWS), this study estimated the minimum energy required to capture the CO 2 emitted by coal-fired thermal power plants. Then, by evaluating solvents and processes and comparing it to the MWS, it proposes the learning model with the best fit for the post-combustion chemical absorption of CO 2 . Learning models are based on earnings from experience, which can include the intensity of research and development. In this study, three models are tested: Wright, DeJong and D and L. Findings of the thermochemical analysis indicated a MWS of 0.158 GJ/t for post-combustion. Conventional solvents currently present an energy penalty eight times the MWS. By using the MWS as a constraint, this study found that the D and L provided the best fit to the available data of chemical solvents and absorption plants. The learning rate determined through this model is very similar to the ones found in the literature

Understanding psychiatric disorder by capturing ecologically relevant features of learning and decision-making.

Science.gov (United States)

Scholl, Jacqueline; Klein-Flügge, Miriam

2017-09-28

Recent research in cognitive neuroscience has begun to uncover the processes underlying increasingly complex voluntary behaviours, including learning and decision-making. Partly this success has been possible by progressing from simple experimental tasks to paradigms that incorporate more ecological features. More specifically, the premise is that to understand cognitions and brain functions relevant for real life, we need to introduce some of the ecological challenges that we have evolved to solve. This often entails an increase in task complexity, which can be managed by using computational models to help parse complex behaviours into specific component mechanisms. Here we propose that using computational models with tasks that capture ecologically relevant learning and decision-making processes may provide a critical advantage for capturing the mechanisms underlying symptoms of disorders in psychiatry. As a result, it may help develop mechanistic approaches towards diagnosis and treatment. We begin this review by mapping out the basic concepts and models of learning and decision-making. We then move on to consider specific challenges that emerge in realistic environments and describe how they can be captured by tasks. These include changes of context, uncertainty, reflexive/emotional biases, cost-benefit decision-making, and balancing exploration and exploitation. Where appropriate we highlight future or current links to psychiatry. We particularly draw examples from research on clinical depression, a disorder that greatly compromises motivated behaviours in real-life, but where simpler paradigms have yielded mixed results. Finally, we highlight several paradigms that could be used to help provide new insights into the mechanisms of psychiatric disorders. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Making Sense of Rocket Science - Building NASA's Knowledge Management Program

Science.gov (United States)

Holm, Jeanne

2002-01-01

The National Aeronautics and Space Administration (NASA) has launched a range of KM activities-from deploying intelligent "know-bots" across millions of electronic sources to ensuring tacit knowledge is transferred across generations. The strategy and implementation focuses on managing NASA's wealth of explicit knowledge, enabling remote collaboration for international teams, and enhancing capture of the key knowledge of the workforce. An in-depth view of the work being done at the Jet Propulsion Laboratory (JPL) shows the integration of academic studies and practical applications to architect, develop, and deploy KM systems in the areas of document management, electronic archives, information lifecycles, authoring environments, enterprise information portals, search engines, experts directories, collaborative tools, and in-process decision capture. These systems, together, comprise JPL's architecture to capture, organize, store, and distribute key learnings for the U.S. exploration of space.

Active and passive spatial learning in human navigation: acquisition of graph knowledge.

Science.gov (United States)

Chrastil, Elizabeth R; Warren, William H

2015-07-01

It is known that active exploration of a new environment leads to better spatial learning than does passive visual exposure. We ask whether specific components of active learning differentially contribute to particular forms of spatial knowledge-the exploration-specific learning hypothesis. Previously, we found that idiothetic information during walking is the primary active contributor to metric survey knowledge (Chrastil & Warren, 2013). In this study, we test the contributions of 3 components to topological graph and route knowledge: visual information, idiothetic information, and cognitive decision making. Four groups of participants learned the locations of 8 objects in a virtual hedge maze by (a) walking or (b) watching a video, crossed with (1) either making decisions about their path or (2) being guided through the maze. Route and graph knowledge were assessed by walking in the maze corridors from a starting object to the remembered location of a test object, with frequent detours. Decision making during exploration significantly contributed to subsequent route finding in the walking condition, whereas idiothetic information did not. Participants took novel routes and the metrically shortest routes on the majority of both direct and barrier trials, indicating that labeled graph knowledge-not merely route knowledge-was acquired. We conclude that, consistent with the exploration-specific learning hypothesis, decision making is the primary component of active learning for the acquisition of topological graph knowledge, whereas idiothetic information is the primary component for metric survey knowledge. (c) 2015 APA, all rights reserved.

Education for Knowledge Society: Learning and Scientific Innovation Environment

OpenAIRE

Alexander O. Karpov

2017-01-01

Cognitive-active learning research-type environment is the fundamental component of the education system for the knowledge society. The purpose of the research is the development of conceptual bases and a constructional model of a cognitively active learning environment that stimulates the creation of new knowledge and its socio-economic application. Research methods include epistemic-didactic analysis of empirical material collected as a result of the study of research environments at school...

Nuclear Knowledge Creation and Transfer in Enriched Learning Environments: A Practical Approach

International Nuclear Information System (INIS)

Ruiz, F.; Gonzalez, J.; Delgado, J.L.

2016-01-01

Full text: Technology, the social nature of learning and the generational learning style are conforming new models of training that are changing the roles of the instructors, the channels of communication and the proper learning content of the knowledge to be transferred. New training methodologies are being using in the primary and secondary education and “Vintage” classroom learning does not meet the educational requirements of these methodologies; therefore, it’s necessary to incorporate them in the Knowledge Management processes used in the nuclear industry. This paper describes a practical approach of an enriched learning environment with the purpose of creating and transferring nuclear knowledge. (author

The Role of Leadership: The Challenge of Knowledge Management and Learning in Knowledge-Intensive Organizations

Science.gov (United States)

Mas-Machuca, Marta

2014-01-01

Knowledge and learning are important driving forces for business success and competitiveness, especially in the knowledge-intensive organizations (KIO's) whose core business is to create and sell knowledge (e.g. education, R&D units, and consultancy organizations, among others). Previous works suggested one of the Critical Success Factor (CSF)…

Theoretical Commitment and Implicit Knowledge: Why Anomalies do not Trigger Learning

Science.gov (United States)

Ohlsson, Stellan

A theory consists of a mental model, laws that specify parameters of the model and one or more explanatory schemas. Models represent by being isomorphic to real systems. To explain an event is to reenact its genesis by executing the relevant model in the mind's eye. Schemas capture recurring structural features of explanations. To subscribe to a theory is to be committed to explaining a particular class of events with that theory (and nothing else). Given theoretical commitment, an anomaly, i.e., an event that cannot be explained, is an occasion for theory change, but in the absence of commitment, the response is instead to exclude the anomalous event from the domain of application of the theory. Lay people and children hold their theories implicitly and hence without commitment. These observations imply that the analogy between scientist's theories and children's knowledge is valid, but that the analogy between theory change and learning is not.

Teacher Design Knowledge for Technology Enhanced Learning

NARCIS (Netherlands)

McKenney, Susan

2014-01-01

This presentation shares a framework for investigating the knowledge teachers need to be able to design technology-enhanced learning. Specific activities are undertaken to consider elements within the framework

The relation between prior knowledge and students' collaborative discovery learning processes.

NARCIS (Netherlands)

Gijlers, Aaltje H.; de Jong, Anthonius J.M.

2005-01-01

In this study we investigate how prior knowledge influences knowledge development during collaborative discovery learning. Fifteen dyads of students (pre-university education, 15-16 years old) worked on a discovery learning task in the physics field of kinematics. The (face-to-face) communication

Collaborative work and medical talk: opportunities for learning through knowledge sharing.

Science.gov (United States)

Nilsen, Line Lundvoll; Ludvigsen, Sten R

2010-01-01

Teleconsultations provide new opportunities for learning in medical settings. This study explores the conditions under which learning among physicians takes place. The empirical context is 47 real-time video conferences carried out to examine collaborative work and the medical talk involved. Sixteen of the observations were consultations wherein general practitioners (GPs) and specialists shared knowledge with the purpose of solving a medical problem related to a patient under treatment. In this exploratory study, the learning opportunities are seen as what medical practitioners with different types of expertise achieve through interaction while working with patients over periods of time. The analysis of medical talk in consultations shows that collaborative work among GPs and specialists creates a shared understanding of the patient's clinical history and treatment trajectory. As knowledge is demanded and attributed and gaps of knowledge become shared, consultations create a work tool that expands the medical work and talk. Collaborative work in and between different levels of the health care service expands knowledge, creates opportunities for learning in everyday settings, and improves the quality of knowledge distribution in the health care system.

An Effective Assessment of Knowledge Sharing and E-Learning Portals

Science.gov (United States)

Subramanian, D. Venkata; Geetha, Angelina; Shankar, P.

2015-01-01

In recent years, most of the companies have increasingly realized the importance of the knowledge sharing portal and E-Learning portals to provide competitive knowledge for their employees. The knowledge stored in these portals varies from technical, process and project knowledge functional or domain specific knowledge to face the competitiveness…

Making the Invisible Visible: modelling social learning in a knowledge management context

Directory of Open Access Journals (Sweden)

Henry Linger

2001-11-01

Full Text Available The articulation of Knowledge Management as an organisational strategy has occurred in the context of a radical shift towards an information based economy. The most significant aspect for organisations operating in the information economy is their ability to utilise the volumes of information that are now readily available without the constraint of media, geography or time. A critical factor for organisations is the speed at which they are able to productively process such information to enable the organisation to react rapidly to changes in their operating environments. In this context organisation needs to produce and re-produce knowledge. The shift from information to knowledge is an acknowledgment of the significant role of the human actor in the process of transforming information into effective organisational outcomes. Social learning represents important processes that contribute to actors’ ability to understand information, create knowledge from that information and share what they know. Social learning is therefore intrinsic to knowledge management. In this paper we present a knowledge management architecture that supports a learning organisation. This architecture accommodates social learning and processes by which knowledge is internalised and externalised by individuals, work groups and the organisation as a whole. The architecture incorporates a model social learning based on the results of ethnographic studies and a model of learning derived from knowledge management case studies. The architecture is not domain specific but can be applied to activity that can be characterised as knowledge work in an organisational context. As such the architecture can play a variety of roles; as a conceptual framework, as a diagnostic tool to identify breakdown and as a design tool for organisational change.

Uptake of critical knowledge in nursing practice: lessons learned from a knowledge translation study.

Science.gov (United States)

Anderson, Joan M; Browne, Annette J; Reimer-Kirkham, Sheryl; Lynam, M Judith; Rodney, Paddy; Varcoe, Colleen; Wong, Sabrina; Tan, Elsie; Smye, Victoria; McDonald, Heather; Baumbusch, Jennifer; Khan, Koushambhi Basu; Reimer, Joanne; Peltonen, Adrienne; Brar, Anureet

2010-09-01

This article is based on a knowledge translation (KT) study of the transition of patients from hospital to home. It focuses on the lessons learned about the challenges of translating research-derived critical knowledge in practice settings. The authors situate the article in current discourses about KT; discuss their understanding of the nature of critical knowledge; and present themes from their body of research, which comprises the knowledge that was translated. The findings have the potential to guide future KT research that focuses on the uptake of critical knowledge in nursing practice.

Adding Learning to Knowledge-Based Systems: Taking the "Artificial" Out of AI

Science.gov (United States)

Daniel L. Schmoldt

1997-01-01

Both, knowledge-based systems (KBS) development and maintenance require time-consuming analysis of domain knowledge. Where example cases exist, KBS can be built, and later updated, by incorporating learning capabilities into their architecture. This applies to both supervised and unsupervised learning scenarios. In this paper, the important issues for learning systems-...

(CBTP) on knowledge, problem-solving and learning approach

African Journals Online (AJOL)

In the first instance attention is paid to the effect of a computer-based teaching programme (CBTP) on the knowledge, problem-solving skills and learning approach of student ... In the practice group (oncology wards) no statistically significant change in the learning approach of respondents was found after using the CBTP.

Strategies Used In Capture The Flag Events Contributing To Team Performance

Science.gov (United States)

2016-03-01

words) Capture-the-flag (CTF) exercises are useful pedagogical tools and have been employed, both formally and informally, by academic institutions...Much like their physical counterparts, cyber CTF exercises hold pedagogical value and are gaining wide popularity. Existing studies on CTF exercises...examined either how they benefit learning, or are best conducted. To our knowledge, no formal study has yet looked at the relationship between the

Effects of prior knowledge on learning from different compositions of representations in a mobile learning environment

NARCIS (Netherlands)

T.-C. Liu (Tzu-Chien); Y.-C. Lin (Yi-Chun); G.W.C. Paas (Fred)

2014-01-01

textabstractTwo experiments examined the effects of prior knowledge on learning from different compositions of multiple representations in a mobile learning environment on plant leaf morphology for primary school students. Experiment 1 compared the learning effects of a mobile learning environment

Pervasive Knowledge, Social Networks, and Cloud Computing: E-Learning 2.0

Science.gov (United States)

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.…

A SOCIO-COGNITIVE APPROACH TO KNOWLEDGE CONSTRUCTION THROUGH BLENDED LEARNING

Directory of Open Access Journals (Sweden)

Tuba Kocaturk

2017-01-01

Full Text Available This paper results from an educational research project that was undertaken by the School of Architecture, at the University of Liverpool funded by the Higher Education Academy in UK. The research explored technology driven shifts in architectural design studio education, identified their cognitive effects on design learning and developed an innovative blended learning approach that was implemented at a masters level digital design studio. The contribution of the research and the proposed approach to the existing knowledge and practice are twofold. Firstly, it offers a new pedagogical framework which integrates social, technical and cognitive dimensions of knowledge construction. And secondly, it offers a unique operational model through the integration of both mediational and instrumental use of digital media. The proposed model provides a useful basis for the effective mobilization of next generation learning technologies which can effectively respond to the learning challenges specific to architectural design knowledge and its means of creation.

A "Knowledge Trading Game" for Collaborative Design Learning in an Architectural Design Studio

Science.gov (United States)

Wang, Wan-Ling; Shih, Shen-Guan; Chien, Sheng-Fen

2010-01-01

Knowledge-sharing and resource exchange are the key to the success of collaborative design learning. In an architectural design studio, design knowledge entails learning efforts that need to accumulate and recombine dispersed and complementary pieces of knowledge. In this research, firstly, "Knowledge Trading Game" is proposed to be a way for…

Assessing the Impact of Voice-Over Screen-Captured Presentations Delivered Online on Dental Students' Learning.

Science.gov (United States)

Schönwetter, Dieter J; Gareau-Wilson, Nicole; Cunha, Rodrigo Sanches; Mello, Isabel

2016-02-01

The traditional lecturing method is still one of the most common forms of delivering content to students in dental education, but innovative learning technologies have the potential to improve the effectiveness and quality of teaching dental students. What challenges instructors is the extent to which these learning tools have a direct impact on student learning outcomes. The aim of this study was to assess the impact of a voice-over screen-captured learning tool by identifying a positive, nil, or negative impact on student learning as well as student engagement (affective, behavioral, and cognitive) when compared to the traditional face-to-face lecture. Extraneous variables thought to impact student learning were controlled by the use of baseline measures as well as random assignment of second-year dental students to one of two teaching conditions: voice-over screen-captured presentation delivered online and the traditional classroom lecture. A total of 28 students enrolled in the preclinical course in endodontics at a Canadian dental school participated in the study, 14 in each of the two teaching conditions. The results showed that, in most cases, the students who experienced the online lecture had somewhat higher posttest scores and perceived satisfaction levels than those in the face-to-face lecture group, but the differences did not achieve statistical significance except for their long-term recognition test scores. This study found that the students had comparable learning outcomes whether they experienced the face-to-face or the online lecture, but that the online lecture had a more positive impact on their long-term learning. The controls for extraneous variables used in this study suggest ways to improve research into the comparative impact of traditional and innovative teaching methods on student learning outcomes.

Foregrounding Knowledge in E-Learning Design: An Illustration in a Museum Setting

Science.gov (United States)

Carvalho, Lucila; Dong, Andy; Maton, Karl

2015-01-01

The nature of knowledge, and the various forms knowledge may take, is a neglected aspect of the development of e-learning environments. This paper uses Legitimation Code Theory (LCT) to conceptualise the organising principles of knowledge practices. As we will illustrate, when it comes to the design of e-learning, the organising principles of the…

Indigenous Knowledge in Post-Secondary Educators' Practices: Nourishing the Learning Spirit

Science.gov (United States)

Anuik, Jonathan; Gillies, Carmen L.

2012-01-01

From 2006 to 2009, Indigenous Elders and scholars shared their insights in the Comprehending and Nourishing the Learning Spirit Animation Theme Bundle of the Aboriginal Learning Knowledge Centre (ABLKC). The ABLKC was an applied research, knowledge exchange, and monitoring program with a mandate to advance Aboriginal education in Canada. One of…

Learning a Health Knowledge Graph from Electronic Medical Records.

Science.gov (United States)

Rotmensch, Maya; Halpern, Yoni; Tlimat, Abdulhakim; Horng, Steven; Sontag, David

2017-07-20

Demand for clinical decision support systems in medicine and self-diagnostic symptom checkers has substantially increased in recent years. Existing platforms rely on knowledge bases manually compiled through a labor-intensive process or automatically derived using simple pairwise statistics. This study explored an automated process to learn high quality knowledge bases linking diseases and symptoms directly from electronic medical records. Medical concepts were extracted from 273,174 de-identified patient records and maximum likelihood estimation of three probabilistic models was used to automatically construct knowledge graphs: logistic regression, naive Bayes classifier and a Bayesian network using noisy OR gates. A graph of disease-symptom relationships was elicited from the learned parameters and the constructed knowledge graphs were evaluated and validated, with permission, against Google's manually-constructed knowledge graph and against expert physician opinions. Our study shows that direct and automated construction of high quality health knowledge graphs from medical records using rudimentary concept extraction is feasible. The noisy OR model produces a high quality knowledge graph reaching precision of 0.85 for a recall of 0.6 in the clinical evaluation. Noisy OR significantly outperforms all tested models across evaluation frameworks (p < 0.01).

Overcoming Learning Barriers through Knowledge Management

Science.gov (United States)

Dror, Itiel E.; Makany, Tamas; Kemp, Jonathan

2011-01-01

The ability to learn highly depends on how knowledge is managed. Specifically, different techniques for note-taking utilize different cognitive processes and strategies. In this paper, we compared dyslexic and control participants when using linear and non-linear note-taking. All our participants were professionals working in the banking and…

Learning strategies of workers in the knowledge creating company

NARCIS (Netherlands)

Poell, R.F.; van der Krogt, F.J.

2003-01-01

This study presents a critical examination of Nonaka and Takeuchi's theory about knowledge-creating companies (1995), taken as one example of contemporary management theories concerning innovation and learning. Two main questions are investigated. First, how is the learning of workers organized in

Constructing and Refining Knowledge Bases: A Collaborative Apprenticeship Multistrategy Learning Approach

National Research Council Canada - National Science Library

Tecuci, Gheorghe

2000-01-01

This research has developed a theory, methodology and learning agent shell for development of knowledge bases and knowledge-based agents, by domain experts, with limited assistance from knowledge engineers...

The Role of Learning Goals in Building a Knowledge Base for Elementary Mathematics Teacher Education

Science.gov (United States)

Jansen, Amanda; Bartell, Tonya; Berk, Dawn

2009-01-01

In this article, we describe features of learning goals that enable indexing knowledge for teacher education. Learning goals are the key enabler for building a knowledge base for teacher education; they define what counts as essential knowledge for prospective teachers. We argue that 2 characteristics of learning goals support knowledge-building…

Computer game-based and traditional learning method: a comparison regarding students' knowledge retention.

Science.gov (United States)

Rondon, Silmara; Sassi, Fernanda Chiarion; Furquim de Andrade, Claudia Regina

2013-02-25

Educational computer games are examples of computer-assisted learning objects, representing an educational strategy of growing interest. Given the changes in the digital world over the last decades, students of the current generation expect technology to be used in advancing their learning requiring a need to change traditional passive learning methodologies to an active multisensory experimental learning methodology. The objective of this study was to compare a computer game-based learning method with a traditional learning method, regarding learning gains and knowledge retention, as means of teaching head and neck Anatomy and Physiology to Speech-Language and Hearing pathology undergraduate students. Students were randomized to participate to one of the learning methods and the data analyst was blinded to which method of learning the students had received. Students' prior knowledge (i.e. before undergoing the learning method), short-term knowledge retention and long-term knowledge retention (i.e. six months after undergoing the learning method) were assessed with a multiple choice questionnaire. Students' performance was compared considering the three moments of assessment for both for the mean total score and for separated mean scores for Anatomy questions and for Physiology questions. Students that received the game-based method performed better in the pos-test assessment only when considering the Anatomy questions section. Students that received the traditional lecture performed better in both post-test and long-term post-test when considering the Anatomy and Physiology questions. The game-based learning method is comparable to the traditional learning method in general and in short-term gains, while the traditional lecture still seems to be more effective to improve students' short and long-term knowledge retention.

Examining Collaborative Knowledge Construction in Microblogging-Based Learning Environments

Directory of Open Access Journals (Sweden)

Tian Luo

2017-09-01

Full Text Available Aim/Purpose: The purpose of the study is to provide foundational research to exemplify how knowledge construction takes place in microblogging-based learning environments, to understand learner interaction representing the knowledge construction process, and to analyze learner perception, thereby suggesting a model of delivery for microblogging. Background: Up-and-coming digital native learners crave the real-time, multimedia, global-interconnectedness of microblogging, yet there has been limited research that specifically proposes a working model of Twitter’s classroom integration for designers and practitioners without bundling it in with other social media tools. Methodology: This semester-long study utilized a case-study research design via a multi-dimensional approach in a hybrid classroom with both face-to-face and online environments. Tweets were collected from four types of activities and coded based on content within their contextual setting. Twenty-four college students participated in the study. Contribution: The findings shed light on the process of knowledge construction in mi-croblogging and reveal key types of knowledge manifested during learning activities. The study also proposes a model for delivering microblogging to formal learning environments applicable to various contexts for designers and practitioners. Findings: There are distinct learner interaction patterns representing the process of knowledge construction in microblogging activities ranging from low-order to high-order cognitive tasks. Students generally were in favor of the Twitter integration in this study. Recommendations for Practitioners: The three central activities (exploring hashtags, discussion topics, and participating in live chats along with the backchannel activity formulate a working model that represents the sequential process of Twitter integration into classrooms. Impact on Society: Microblogging allows learners omnichannel access while hashtags

Nonword Repetition and Vocabulary Knowledge as Predictors of Children's Phonological and Semantic Word Learning.

Science.gov (United States)

Adlof, Suzanne M; Patten, Hannah

2017-03-01

This study examined the unique and shared variance that nonword repetition and vocabulary knowledge contribute to children's ability to learn new words. Multiple measures of word learning were used to assess recall and recognition of phonological and semantic information. Fifty children, with a mean age of 8 years (range 5-12 years), completed experimental assessments of word learning and norm-referenced assessments of receptive and expressive vocabulary knowledge and nonword repetition skills. Hierarchical multiple regression analyses examined the variance in word learning that was explained by vocabulary knowledge and nonword repetition after controlling for chronological age. Together with chronological age, nonword repetition and vocabulary knowledge explained up to 44% of the variance in children's word learning. Nonword repetition was the stronger predictor of phonological recall, phonological recognition, and semantic recognition, whereas vocabulary knowledge was the stronger predictor of verbal semantic recall. These findings extend the results of past studies indicating that both nonword repetition skill and existing vocabulary knowledge are important for new word learning, but the relative influence of each predictor depends on the way word learning is measured. Suggestions for further research involving typically developing children and children with language or reading impairments are discussed.

Optimizing Knowledge Sharing In Learning Networks Through Peer Tutoring

NARCIS (Netherlands)

Hsiao, Amy; Brouns, Francis; Kester, Liesbeth; Sloep, Peter

2009-01-01

Hsiao, Y. P., Brouns, F., Kester, L., & Sloep, P. B. (2009). Optimizing Knowledge Sharing In Learning Networks Through Peer Tutoring. In D. Kinshuk, J. Sampson, J. Spector, P. Isaías, P. Barbosa & D. Ifenthaler (Eds.). Proceedings of IADIS International Conference Cognition and Exploratory Learning

Knowledge production as organizational learning: The case of Danish universities

DEFF Research Database (Denmark)

Elkjær, Bente

2018-01-01

One of the political means to encourage competitive knowledge production in universities is to employ strategic management, but is this a promising method? I explore this question through a practice-based and pragmatist version of organisational learning as well as the Nordic tradition for work...... participation from ‘below’ as a prerequisite for learning and innovation. Research leadership that works in collaboration with peers rather than maintaining a focus on strategic management could be an answer to more competitive and sustainable knowledge production....... and education to suggest ways for sustainable knowledge production. University scholars not only participate in research practices at their home university but also in worldwide knowledge production driven by passions for specific fields of inquiry. Further, the Nordic countries have a tradition for active...

Conscious knowledge of learning: accessing learning strategies in a final year high school biology class

Science.gov (United States)

Conner, Lindsey; Gunstone, Richard

2004-12-01

This paper reports on a qualitative case study investigation of the knowledge and use of learning strategies by 16 students in a final year high school biology class to expand their conscious knowledge of learning. Students were provided with opportunities to engage in purposeful inquiry into the biological, social and ethical aspects of cancer. A constructivist approach was implemented to access prior content and procedural knowledge in various ways. Students were encouraged to develop evaluation of their learning skills independently through activities that promoted metacognition. Those students who planned and monitored their work produced essays of higher quality. The value and difficulties of promoting metacognitive approaches in this context are discussed, as well as the idea that metacognitive processes are difficult to research, because they have to be conscious in order to be identified by the learner, thereby making them accessible to the researcher.

A learning arena for knowledge development by the use of didactics and situated learning

DEFF Research Database (Denmark)

Madsen, Erik Skov; Riis, Jens Ove; Wæhrens, Brian Vejrum

2010-01-01

This paper unfolds the concept of a learning arena as a means of building robust and effec-tive global operations networks through a focus on organizational didactics and situated learning. The paper builds on six case studies in three MNEs which have come far in establishing capabilities...... for the transfer of operations activities. However, they have tended to take a piecemeal and substance-based approach in relation to learning. A new model shows the contours of a learning arena, and case studies illustrate how different learning arenas may be used for supporting knowledge development....

Motion Capturing Emotions

Directory of Open Access Journals (Sweden)

Wood Karen

2017-12-01

Full Text Available The paper explores the activities conducted as part of WhoLoDancE: Whole Body Interaction Learning for Dance Education which is an EU-funded Horizon 2020 project. In particular, we discuss the motion capture sessions that took place at Motek, Amsterdam as well as the dancers’ experience of being captured and watching themselves or others as varying visual representations through the HoloLens. HoloLens is Microsoft’s first holographic computer that you wear as you would a pair of glasses. The study embraced four dance genres: Ballet, Contemporary, Flamenco and Greek Folk dance. We are specifically interested in the kinesthetic and emotional engagement with the moving body and what new corporeal awareness may be experienced. Positioning the moving, dancing body as fundamental to technological advancements, we discuss the importance of considering the dancer’s experience in the real and virtual space. Some of the artists involved in the project have offered their experiences, which are included, and they form the basis of the discussion. In addition, we discuss the affect of immersive environments, how these environments expand reality and what effect (emotionally and otherwise that has on the body. The research reveals insights into relationships between emotion, movement and technology and what new sensorial knowledge this evokes for the dancer.

Computer game-based and traditional learning method: a comparison regarding students’ knowledge retention

Directory of Open Access Journals (Sweden)

Rondon Silmara

2013-02-01

Full Text Available Abstract Background Educational computer games are examples of computer-assisted learning objects, representing an educational strategy of growing interest. Given the changes in the digital world over the last decades, students of the current generation expect technology to be used in advancing their learning requiring a need to change traditional passive learning methodologies to an active multisensory experimental learning methodology. The objective of this study was to compare a computer game-based learning method with a traditional learning method, regarding learning gains and knowledge retention, as means of teaching head and neck Anatomy and Physiology to Speech-Language and Hearing pathology undergraduate students. Methods Students were randomized to participate to one of the learning methods and the data analyst was blinded to which method of learning the students had received. Students’ prior knowledge (i.e. before undergoing the learning method, short-term knowledge retention and long-term knowledge retention (i.e. six months after undergoing the learning method were assessed with a multiple choice questionnaire. Students’ performance was compared considering the three moments of assessment for both for the mean total score and for separated mean scores for Anatomy questions and for Physiology questions. Results Students that received the game-based method performed better in the pos-test assessment only when considering the Anatomy questions section. Students that received the traditional lecture performed better in both post-test and long-term post-test when considering the Anatomy and Physiology questions. Conclusions The game-based learning method is comparable to the traditional learning method in general and in short-term gains, while the traditional lecture still seems to be more effective to improve students’ short and long-term knowledge retention.

Education for Knowledge Society: Learning and Scientific Innovation Environment

Directory of Open Access Journals (Sweden)

Alexander O. Karpov

2017-11-01

Full Text Available Cognitive-active learning research-type environment is the fundamental component of the education system for the knowledge society. The purpose of the research is the development of conceptual bases and a constructional model of a cognitively active learning environment that stimulates the creation of new knowledge and its socio-economic application. Research methods include epistemic-didactic analysis of empirical material collected as a result of the study of research environments at schools and universities; conceptualization and theoretical modeling of the cognitively active surrounding, which provides an infrastructure of the research-type cognitive process. The empirical material summarized in this work was collected in the research-cognitive space of the “Step into the Future” program, which is one of the most powerful systems of research education in present-day Russia. The article presents key points of the author's concept of generative learning environments and a model of learning and scientific innovation environment implemented at Russian schools and universities.

Knowledge Management in the IAEA Department of Safeguards

International Nuclear Information System (INIS)

Carrillo-de-Fischer, J.; Martinez, J. D.; Konecni, S.

2015-01-01

Knowledge management is the discipline of enabling individuals and teams to collectively and systematically create, share and apply knowledge. The most important assets in the IAEA Department of Safeguards are people and their knowledge. The focus of the Department’s knowledge management activities are to create an environment within which people share, learn and work together. The efforts to manage the knowledge of an individual leaving the Department have been focused on helping the supervisor of the departing staff member to identify what critical knowledge needs to be retained, and how to retain that knowledge. The Safeguards Knowledge Management team developed a person-centred approach. This approach involves interviews with the staff member, co-workers and/or customers to identify the critical knowledge to be transferred. Although time consuming, this method has been found to be effective in capturing the needed knowledge. This approach has four steps: – Identify the critical knowledge to be retained; – Select the knowledge transfer methods; – Apply the knowledge transfer methods; and – Assess and refine the transfer process. The paper will describe the person-centred approach and lessons learned from implementing this programme in the Department over several years. (author)

Stealing Knowledge in a Landscape of Learning: Conceptualizations of Jazz Education

Science.gov (United States)

Bjerstedt, Sven

2016-01-01

Theoretical approaches to learning in practice-based jazz improvisation contexts include situated learning and ecological perspectives. This article focuses on how interest-driven, self-sustaining jazz learning activities can be matched against the concepts of stolen knowledge (Brown & Duguid, 1996) and landscape of learning (Bjerstedt, 2014).…

Song of the Open Road: Business Students Blog about Tacit Knowledge in Their Internships

Science.gov (United States)

DeWitt, Arlene O.

2010-01-01

Student interns produce professional blogs, using Web 2.0, to capture tacit knowledge concepts which are the experiential learning goals of internships in business education. This article discusses the pedagogical goals, methods and outcomes of this initiative. It also provides the theoretical underpinnings of the concept of tacit knowledge in…

The Retention of Tacit Knowledge in Higher Learning Administration

Science.gov (United States)

Muniz, Andrew Everardo

2013-01-01

Higher education institutions (HEIs) could be among organizations without effective programs for preserving tacit knowledge (TK) when knowledge workers retire, quit, take a leave of absence, or are terminated. The theoretical underpinnings of this study were neuroscience related to brain learning physiology, transformational leadership theory,…

The Need for a Strategic Foundation for Digital Learning and Knowledge Management Solutions

Science.gov (United States)

Asgarkhani, Mehdi

2004-01-01

This paper elaborates on the importance of a strategic foundation when digital learning or knowledge management (KM) solutions are planned and developed. It looks at some key issues of e-Learning and knowledge management (KM) through discussing the various stages (technologies) and potential benefits of e-Learning; the state of the e-Learning…

Knowledge Management in the IAEA Department of Safeguards

International Nuclear Information System (INIS)

Konecni, S.; McCullough, R.

2015-01-01

Knowledge management is the discipline of enabling individuals and teams to collectively and systematically create, share and apply knowledge. The most important assets in the IAEA Department of Safeguards are people and their knowledge. The focus of the Department is to create an environment within which people share, learn and work together. The efforts to manage the knowledge leaving the Department have been focused on helping the supervisor of the departing staff member to identify what critical knowledge needs to be retained, and how to retain that knowledge. The Safeguards Knowledge Management team developed a person-centred approach. This approach involves interviews with the staff member, co-workers and/or customers to identify the critical knowledge to be transferred. Although time consuming we have found that this method is most effective to capture the needed knowledge. This approach has four steps: · Identify the critical knowledge to be retained; · Select the knowledge transfer methods; · Apply the knowledge transfer methods; and · Assess and refine the transfer process. The paper will describe the person-centred approach and lessons learned from implementing this programme in the Department over several years. (author)

Knowing Means Existing: Organizational Learning Dimensions and Knowledge Management Capability

Directory of Open Access Journals (Sweden)

Turulja Lejla

2018-03-01

Full Text Available Background: Many studies have considered knowledge as the most important strategic resource for ensuring firm’s competitiveness. Accordingly, learning is an important concept for firms whether it is individual or organizational learning.

Enabling organisational learning and knowledge sharing through employee involvement

DEFF Research Database (Denmark)

Bjerrum, Eva; Dahl, Susanne

In this paper we want to suggest that involving the employees in the development of the new workspaces is an important element in organisational learning and that it makes good sense to rethink space in order to support both tacit knowledge and collaboration. We want to argue that involving...... the employees in the design of their future workplace is key to giving the employee ownership for the change and may provide the organisation with invaluable ideas for the new work environment and the process of enabling organisational learning and knowledge sharing. We base our argument on a series of research...

Sexual promiscuity: knowledge of dangers in institutions of higher learning.

Science.gov (United States)

Ebong, R D

1994-06-01

Knowledge of dangers of sexual promiscuity was assessed in 2 institutions of higher learning. The objectives were to find out the knowledge of medical and social consequences as well as the factors responsible for sexual promiscuity among Nigerian youths. The study also assessed the discrepancies in societal concept of sex norms for males and females. The result was used as an index to determine the need for sex education for Nigerian youths. A total of 200 students (100 from each school) was assessed by random selection and use of a questionnaire. The result showed that students had a fair knowledge of sexual promiscuity, although in terms of medical consequences the knowledge was low for both groups. On social consequences, the knowledge was fair for both groups. Students agreed that lack of financial support and of supervision from parents and teachers were among the causes of sexual promiscuity. Recommendations were made for Health Education in these areas in institutions of higher learning. Also, recommendations were made for parental education on how to bring up, and care for, their adolescents to reduce the problems of sexual promiscuity. It was also recommended that a compulsory course on sexual promiscuity should be included in the syllabus in institutions of higher learning.

Learning about Ecological Systems by Constructing Qualitative Models with DynaLearn

Science.gov (United States)

Leiba, Moshe; Zuzovsky, Ruth; Mioduser, David; Benayahu, Yehuda; Nachmias, Rafi

2012-01-01

A qualitative model of a system is an abstraction that captures ordinal knowledge and predicts the set of qualitatively possible behaviours of the system, given a qualitative description of its structure and initial state. This paper examines an innovative approach to science education using an interactive learning environment that supports…

Teachers' Professional Learning: The Role of Knowledge Management Practices

Science.gov (United States)

Niehoff, Karissa

2010-01-01

This qualitative study explored the degree to which knowledge management strategies addressed teacher professional learning at the high school level. In the setting of a Connecticut public high school, interviews were conducted which explored teacher perceptions of knowledge sharing practices in the school and how those practices influenced their…

Multi-agent system for Knowledge-based recommendation of Learning Objects

Directory of Open Access Journals (Sweden)

Paula Andrea RODRÍGUEZ MARÍN

2015-12-01

Full Text Available Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.

A Foundation for Understanding Knowledge Sharing: Organizational Culture, Informal Workplace Learning, Performance Support, and Knowledge Management

Science.gov (United States)

Caruso, Shirley J.

2017-01-01

This paper serves as an exploration into some of the ways in which organizations can promote, capture, share, and manage the valuable knowledge of their employees. The problem is that employees typically do not share valuable information, skills, or expertise with other employees or with the entire organization. The author uses research as well as…

Help&Learn: A peer-to-peer architecture to support knowledge management in collaborative learning communities

NARCIS (Netherlands)

Guizzardi-Silva Souza, R.; Aroyo, L.M.; Wagner, G.

Collaborative learning motivates active participation of individuals in their learning process, which often results in the attaining of creative and critical thinking skills. This way, students and teachers are viewed as both providers and consumers of knowledge gathered in environments where

New learning: knowledge management and e-business in Portuguese higher education

NARCIS (Netherlands)

Mendes, M.M.; Gomes, J.F.; Batiz-Lázo, B.; Gupta, J.N.D.; Sharma, S.K.

2003-01-01

Creating knowledge based organizations brings together high quality concepts closely related to organizational learning, knowledge workers, intellectual capital, virtual teams and will include the methodologies, systems and approaches needed to create and manage knowledge-based organizations of the

Online Scientific Dissemination of Knowledge Blended with Face-to-Face Learning

DEFF Research Database (Denmark)

Tveden-Nyborg, Svend

2013-01-01

is experienced differently throughout a society due to fast and slow adopters. Blending online learning with face-to-face experience will strengthen the learning curve among the targeted users and ensure a faster dissemination of knowledge and thus learning to the entire community....... between the seed scientists, seed consultants, and the seed growers, and the requirements for a knowledge website for learning new seed science. This paper describes the specification requirements set for the required website including taxonomized hierarchical meta-tagging, RSS, legal matters, together...... with limitations and potentials. However, selecting online communication media as a dissemination tool for a community comes with a challenge – among other things it risks creating a learning divide between fast and slow learners. According to the theoretical framework “Diffusion of Innovation”[1] innovation...

A Knowledge Comparison Environment for Supporting Meaningful Learning of E-Book Users

Directory of Open Access Journals (Sweden)

Jingyun Wang

2016-05-01

Full Text Available In this paper, we present an ontology-based visualization support system which can provide a meaningful learning environment to help e-book learners to effectively construct their knowledge frameworks. In this personalized visualization support system, learners are encouraged to actively locate new knowledge in their own knowledge framework and check the logical consistency of their ideas for clearing up misunderstandings; on the other hand, instructors will be able to decide the group distribution for collaborative learning activities based on the knowledge structure of learners. For facilitating those visualization supports, a method to semi-automatically construct a course-centered ontology to describe the required information in a map structure is presented. To automatically manipulate this course-centered ontology to provide visualization learning supports, a prototype system is designed and developed.

Enhancing the Teaching-Learning Process: A Knowledge Management Approach

Science.gov (United States)

Bhusry, Mamta; Ranjan, Jayanthi

2012-01-01

Purpose: The purpose of this paper is to emphasize the need for knowledge management (KM) in the teaching-learning process in technical educational institutions (TEIs) in India, and to assert the impact of information technology (IT) based KM intervention in the teaching-learning process. Design/methodology/approach: The approach of the paper is…

Learning and Knowledge: A Dream or Nightmare for Employees

Science.gov (United States)

Newman, Nadine; Newman, Dunstan

2015-01-01

Purpose: The paper aims to focus on the issues relating to the concepts of knowledge management (KM) and the learning organization and discusses the relationship between these concepts and the issues of power and control. It looks at Coopey's (1998) critical review of the "Foucauldian gloom" with regard to the learning organization and…

Leading to Learn: Knowledge Management Enables Administrators to Excel as Instructional Leaders

Science.gov (United States)

Weischadle, David E.

2005-01-01

The article discusses knowledge management as a means of changing the way administrators carry out their role as instructional leaders. Knowledge management utilizes many concepts from learning organizations, encourages the formation of communities of practice, and employs best practices as a means of leading others to improve learning. Instead of…

Building Learning Culture Towards A Learning Organization to Empower Employee’s Knowledge

Directory of Open Access Journals (Sweden)

Maryani Maryani

2010-12-01

Full Text Available This paper contains the application of knowledge management in PT Unilever to create a learning culture within the organization. Which consists of: knowledge sharing, informal sharing, online sharing and other sources. With the implementation of cultural sharing between employees, the module is already owned by PT Unilever as many as 250 modules. With the application of Knowledge Management PT Unilever awarded a global level, the Most Admired Knowledge Enterprise (MAKE Award in the year 2005-2007 to the level of Indonesia and 2008 for the Asian level. In the end, knowledge-owned companies, creating a good performance by individuals or companies, and will create sustainable growth for the company. Sustainable growth is what is expected by the whole company in running its business activities. 

Evolution of co-management: role of knowledge generation, bridging organizations and social learning.

Science.gov (United States)

Berkes, Fikret

2009-04-01

Over a period of some 20 years, different aspects of co-management (the sharing of power and responsibility between the government and local resource users) have come to the forefront. The paper focuses on a selection of these: knowledge generation, bridging organizations, social learning, and the emergence of adaptive co-management. Co-management can be considered a knowledge partnership. Different levels of organization, from local to international, have comparative advantages in the generation and mobilization of knowledge acquired at different scales. Bridging organizations provide a forum for the interaction of these different kinds of knowledge, and the coordination of other tasks that enable co-operation: accessing resources, bringing together different actors, building trust, resolving conflict, and networking. Social learning is one of these tasks, essential both for the co-operation of partners and an outcome of the co-operation of partners. It occurs most efficiently through joint problem solving and reflection within learning networks. Through successive rounds of learning and problem solving, learning networks can incorporate new knowledge to deal with problems at increasingly larger scales, with the result that maturing co-management arrangements become adaptive co-management in time.

Blended learning with Moodle in medical statistics: an assessment of knowledge, attitudes and practices relating to e-learning.

Science.gov (United States)

Luo, Li; Cheng, Xiaohua; Wang, Shiyuan; Zhang, Junxue; Zhu, Wenbo; Yang, Jiaying; Liu, Pei

2017-09-19

Blended learning that combines a modular object-oriented dynamic learning environment (Moodle) with face-to-face teaching was applied to a medical statistics course to improve learning outcomes and evaluate the impact factors of students' knowledge, attitudes and practices (KAP) relating to e-learning. The same real-name questionnaire was administered before and after the intervention. The summed scores of every part (knowledge, attitude and practice) were calculated using the entropy method. A mixed linear model was fitted using the SAS PROC MIXED procedure to analyse the impact factors of KAP. Educational reform, self-perceived character, registered permanent residence and hours spent online per day were significant impact factors of e-learning knowledge. Introversion and middle type respondents' average scores were higher than those of extroversion type respondents. Regarding e-learning attitudes, educational reform, community number, Internet age and hours spent online per day had a significant impact. Specifically, participants whose Internet age was no greater than 6 years scored 7.00 points lower than those whose Internet age was greater than 10 years. Regarding e-learning behaviour, educational reform and parents' literacy had a significant impact, as the average score increased 10.05 points (P learning KAP. Additionally, this type of blended course can be implemented in many other curriculums.

Exploring Knowledge Creation Processes as a Source of Organizational Learning

DEFF Research Database (Denmark)

Brix, Jacob

2017-01-01

The purpose of the study is to reestablish the link between theories of organizational learning and knowledge creation – theories that in research, have been pursued as independent themes for almost two decades. Based on the literature review, I build a framework that proposes how the two streams...... build eight propositions that are used to discuss and extend the organizational learning and knowledge creation literatures and to justify the framework’s applicability. Finally, I present the managerial implications and the conclusions of the study....

Developing and Assessing Teachers' Knowledge of Game-Based Learning

Science.gov (United States)

Shah, Mamta; Foster, Aroutis

2015-01-01

Research focusing on the development and assessment of teacher knowledge in game-based learning is in its infancy. A mixed-methods study was undertaken to educate pre-service teachers in game-based learning using the Game Network Analysis (GaNA) framework. Fourteen pre-service teachers completed a methods course, which prepared them in game…

Evolution from Collaborative Learning to Symbiotic E-Learning: Creation of New E-Learning Environment for Knowledge Society

Science.gov (United States)

Songhao, He; Saito, Kenji; Maeda, Takashi; Kubo, Takara

2011-01-01

For people who live in the knowledge society which has rapidly been changing, learning in the widest sense becomes indispensable in all phases of working, living and playing. The construction of an environment, to meet the demands of people who need to acquire new knowledge and skills as the need arises, and enlighten each other regularly, is…

The Relationship between Workplace Climate, Motivation and Learning Approaches for Knowledge Workers

Science.gov (United States)

Vanthournout, Gert; Noyens, Dorien; Gijbels, David; Van den Bossche, Piet

2014-01-01

Workplace learning is becoming a central tenet for a large proportion of today's employees. This seems especially true for so-called knowledge workers. Today, it remains unclear how differences in the quality of workplace learning are affected by differences in perception of the workplace environment and the motivation of knowledge workers to…

Health-Related Fitness Knowledge Development through Project-Based Learning

Science.gov (United States)

Hastle, Peter A.; Chen, Senlin; Guarino, Anthony J.

2017-01-01

Purpose: The purpose of this study was to examine the process and outcome of an intervention using the project-based learning (PBL) model to increase students' health-related fitness (HRF) knowledge. Method: The participants were 185 fifth-grade students from three schools in Alabama (PBL group: n = 109; control group: n = 76). HRF knowledge was…

Action Learning: Developing Critical Competencies for Knowledge Era Workers

Science.gov (United States)

Robinson, Greg

2005-01-01

For most of the twentieth century, the goal in education was the generation and dissemination of information. With the rise of technology and unlimited access to information, it is the ability to apply knowledge and learn from experience that is the new priority for employee development. Action learning, with its emphasis on action and reflection,…

Identifying different methods for creating knowledge from lessons learned in project oriented organizations

Directory of Open Access Journals (Sweden)

Ahmad Norang

2016-01-01

Full Text Available Nowadays, the increase in competition has increased the relative importance of innovation for most firms and many managers believe a good innovation must be knowledge oriented. This paper has tried to determine different methods for creating knowledge in project oriented organizations. The study designs a questionnaire in Likert scale and distributes it among 32 experts who were well informed about different methods of knowledge creation and lessons learned. Cronbach alphas for all components of the survey were well above the desirable level. The study has detected 11 methods for knowledge creation and lessons learned. In terms of preliminary assessment, business transactions has received the highest impact while knowledge team has received the highest effect in terms of necessary assessment. The results of this survey have indicated that although there are several methods for detecting knowledge within organizations, in most cases, it is not easy to gain value added knowledge within an organization, quickly. The people who participated in our survey have indicated that organizational commitment, brainstorming, Delphi and storytelling also have played important role for creation of knowledge. The results have also shown that brainstorming, knowledge brokers, map knowledge and work experience were easier to use for knowledge creation and lessons learned compared with other forms of knowledge creation.

Cognitive foundations of organizational learning: re-introducing the distinction between declarative and non-declarative knowledge.

Science.gov (United States)

Kump, Barbara; Moskaliuk, Johannes; Cress, Ulrike; Kimmerle, Joachim

2015-01-01

Contemporary research into socio-cognitive foundations of organizational learning tends to disregard the distinction between declarative and non-declarative knowledge. By reviewing the literature from organizational learning research and cognitive psychology we explain that this distinction is crucial. We describe the foundations of organizational learning by referring to models that consider the interplay between individual and collective knowledge-related processes in organizations. We highlight the existence of a research gap resulting from the finding that these approaches have widely neglected the existence of different types of knowledge. We then elaborate on characteristics of declarative and non-declarative knowledge in general, consider organizations as structures of distributed cognition, and discuss the relationship between organizational knowledge and practice. Subsequently, we examine the role of declarative and non-declarative knowledge in the context of organizational learning. Here, we analyze (1) the cognitive and social mechanisms underlying the development of declarative and non-declarative knowledge within structures of distributed cognition; and (2) the relationship between alterations in declarative and non-declarative types of knowledge on the one hand and changes in organizational practice on the other. Concluding, we discuss implications of our analysis for organizational learning research. We explain how our integrative perspective may offer starting points for a refined understanding of the sub-processes involved in organizational learning and unlearning and may support a better understanding of practical problems related to organizational learning and change.

Cognitive foundations of organizational learning: re-introducing the distinction between declarative and non-declarative knowledge

Science.gov (United States)

Kump, Barbara; Moskaliuk, Johannes; Cress, Ulrike; Kimmerle, Joachim

2015-01-01

Contemporary research into socio-cognitive foundations of organizational learning tends to disregard the distinction between declarative and non-declarative knowledge. By reviewing the literature from organizational learning research and cognitive psychology we explain that this distinction is crucial. We describe the foundations of organizational learning by referring to models that consider the interplay between individual and collective knowledge-related processes in organizations. We highlight the existence of a research gap resulting from the finding that these approaches have widely neglected the existence of different types of knowledge. We then elaborate on characteristics of declarative and non-declarative knowledge in general, consider organizations as structures of distributed cognition, and discuss the relationship between organizational knowledge and practice. Subsequently, we examine the role of declarative and non-declarative knowledge in the context of organizational learning. Here, we analyze (1) the cognitive and social mechanisms underlying the development of declarative and non-declarative knowledge within structures of distributed cognition; and (2) the relationship between alterations in declarative and non-declarative types of knowledge on the one hand and changes in organizational practice on the other. Concluding, we discuss implications of our analysis for organizational learning research. We explain how our integrative perspective may offer starting points for a refined understanding of the sub-processes involved in organizational learning and unlearning and may support a better understanding of practical problems related to organizational learning and change. PMID:26483739

Public School Teachers' Knowledge, Perception, and Implementation of Brain-Based Learning Practices

Science.gov (United States)

Wachob, David A.

2012-01-01

The purpose of this study was to determine K-12 teachers' knowledge, beliefs, and practices of brain-based learning strategies in western Pennsylvania schools. The following five research questions were explored: (a) What is the extent of knowledge K-12 public school teachers have about the indicators of brain-based learning and Brain Gym?; (b) To…

A Transactional Way of Analysing the Learning of "Tacit Knowledge"

Science.gov (United States)

Andersson, Joacim; Östman, Leif

2015-01-01

Methodological challenges point to a reconceptualization of "tacit knowledge" to "tacit knowing". The paper outlines the concept of "tacit knowing" and explores the need for educational research to reformulate questions about tacit knowledge as a practical learning concern. Using John Dewey's transactional perspective…

Active and passive spatial learning in human navigation: acquisition of survey knowledge.

Science.gov (United States)

Chrastil, Elizabeth R; Warren, William H

2013-09-01

It seems intuitively obvious that active exploration of a new environment would lead to better spatial learning than would passive visual exposure. It is unclear, however, which components of active learning contribute to spatial knowledge, and previous literature is decidedly mixed. This experiment tests the contributions of 4 components to metric survey knowledge: visual, vestibular, and podokinetic information and cognitive decision making. In the learning phase, 6 groups of participants learned the locations of 8 objects in a virtual hedge maze by (a) walking, (b) being pushed in a wheelchair, or (c) watching a video, crossed with (1) making decisions about their path or (2) being guided through the maze. In the test phase, survey knowledge was assessed by having participants walk a novel shortcut from a starting object to the remembered location of a test object, with the maze removed. Performance was slightly better than chance in the passive video condition. The addition of vestibular information did not improve performance in the wheelchair condition, but the addition of podokinetic information significantly improved angular accuracy in the walking condition. In contrast, there was no effect of decision making in any condition. The results indicate that visual and podokinetic information significantly contribute to survey knowledge, whereas vestibular information and decision making do not. We conclude that podokinetic information is the primary component of active learning for the acquisition of metric survey knowledge. PsycINFO Database Record (c) 2013 APA, all rights reserved.

What Role Does Knowledge Quality Play in Online Students' Satisfaction, Learning and Loyalty? An Empirical Investigation in an eLearning Context

Science.gov (United States)

Waheed, M.; Kaur, K.; Kumar, S.

2016-01-01

Quality knowledge has an impact on online students learning outcomes and loyalty. A framework that delineates the perceived eLearning knowledge quality (KQ) and its relationship with learning outcomes and loyalty is currently absent. Grounded in the KQ and information system success framework--this study presents the indicators of perceived…

Collaborative Learning Using a Project across Multiple Business Courses: A Cognitive Load and Knowledge Convergence Approach

Science.gov (United States)

Bhowmick, Sandeep; Chandra, Aruna; Harper, Jeffrey S.; Sweetin, Vernon

2015-01-01

Four business professors at a state university in the Midwestern United States launched a collaborative learning project grounded in cognitive learning theory and knowledge convergence theory with the objective of assessing student learning gains in cross-functional knowledge (CFK), course-related knowledge (CRK), and overall satisfaction with…

Knowledge Management and Organizational Proficiency with NPP

International Nuclear Information System (INIS)

Marler, M.

2016-01-01

Full text: The pace of new NPP construction, startup, and operation is straining the supply of proficient operators, technicians, and engineers. This technical brief explains an approach implemented by a US nuclear utility to capture and transfer knowledge possessed by proficient workers to new workers using the VISION learning content management system. This approach could also be used to accelerate worker proficiency in new NPP organizations. (author

The impact of fraction magnitude knowledge on algebra performance and learning.

Science.gov (United States)

Booth, Julie L; Newton, Kristie J; Twiss-Garrity, Laura K

2014-02-01

Knowledge of fractions is thought to be crucial for success with algebra, but empirical evidence supporting this conjecture is just beginning to emerge. In the current study, Algebra 1 students completed magnitude estimation tasks on three scales (0-1 [fractions], 0-1,000,000, and 0-62,571) just before beginning their unit on equation solving. Results indicated that fraction magnitude knowledge, and not whole number knowledge, was especially related to students' pretest knowledge of equation solving and encoding of equation features. Pretest fraction knowledge was also predictive of students' improvement in equation solving and equation encoding skills. Students' placement of unit fractions (e.g., those with a numerator of 1) was not especially useful for predicting algebra performance and learning in this population. Placement of non-unit fractions was more predictive, suggesting that proportional reasoning skills might be an important link between fraction knowledge and learning algebra. Copyright © 2013 Elsevier Inc. All rights reserved.

Robust Visual Knowledge Transfer via Extreme Learning Machine Based Domain Adaptation.

Science.gov (United States)

Zhang, Lei; Zhang, David

2016-08-10

We address the problem of visual knowledge adaptation by leveraging labeled patterns from source domain and a very limited number of labeled instances in target domain to learn a robust classifier for visual categorization. This paper proposes a new extreme learning machine based cross-domain network learning framework, that is called Extreme Learning Machine (ELM) based Domain Adaptation (EDA). It allows us to learn a category transformation and an ELM classifier with random projection by minimizing the -norm of the network output weights and the learning error simultaneously. The unlabeled target data, as useful knowledge, is also integrated as a fidelity term to guarantee the stability during cross domain learning. It minimizes the matching error between the learned classifier and a base classifier, such that many existing classifiers can be readily incorporated as base classifiers. The network output weights cannot only be analytically determined, but also transferrable. Additionally, a manifold regularization with Laplacian graph is incorporated, such that it is beneficial to semi-supervised learning. Extensively, we also propose a model of multiple views, referred as MvEDA. Experiments on benchmark visual datasets for video event recognition and object recognition, demonstrate that our EDA methods outperform existing cross-domain learning methods.

Assessing Learner Perception of Corporate E-Learning Knowledge and Skill Development

Science.gov (United States)

Hewitt, Jason C.

2017-01-01

Given corporations increasing reliance on the use e-learning modules for their employees assumed learning and development, this study sought to understand the perceptions and experiences of individual's who undergo e-learning modules as attempts to increase their knowledge and skills to be successful in their work assignments in a corporate…

Establishment of a Digital Knowledge Conversion Architecture Design Learning with High User Acceptance

Science.gov (United States)

Wu, Yun-Wu; Weng, Apollo; Weng, Kuo-Hua

2017-01-01

The purpose of this study is to design a knowledge conversion and management digital learning system for architecture design learning, helping students to share, extract, use and create their design knowledge through web-based interactive activities based on socialization, internalization, combination and externalization process in addition to…

Alliance Coordination, Dysfunctions, and the Protection of Idiosyncratic Knowledge in Strategic Learning Alliances

OpenAIRE

Müller, Dirk

2010-01-01

In high technology industries firms use strategic learning alliances to create value that can’t be created alone. While they open their interorganizational membrane to gain new skills and competences, generate new products and services, accelerate development speed, and enter into new markets their idiosyncratic knowledge base may be impaired when knowledge related dysfunctions like the unintended knowledge transfer, asymmetric learning speed or premature closing occur. Within a value approac...

Using concurrent think-aloud and protocol analysis to explore student nurses' social learning information communication technology knowledge and skill development.

Science.gov (United States)

Todhunter, Fern

2015-06-01

Observations obtained through concurrent think-aloud and protocol analysis offer new understanding about the influence of social learning on student nurses' acquisition of Information and Communication Technology (ICT) knowledge and skills. The software used provides a permanent record of the underpinning study method, events and analyses. The emerging themes reflect the dimensions of social engagement, and the characteristics of positive and negative reactions to ICT. The evidence shows that given the right conditions, stronger learners will support and guide their peers. To explore the use of concurrent think-aloud and protocol analysis as a method to examine how student nurses approach ICT. To identify the benefits and challenges of using observational technology to capture learning behaviours. To show the influence of small group arrangement and student interactions on their ICT knowledge and skills development. Previous studies examining social interaction between students show how they work together and respond to interactive problem solving. Social interaction has been shown to enhance skills in both ICT and collaborative decision making. Structured observational analysis using concurrent think-aloud and protocol analysis. Students displayed varying degrees of pastoral support and emotional need, leadership, reflection, suggestion and experimentation skills. Encouraging student nurses to work in small mixed ability groups can be conducive for social and ICT skill and knowledge development. Observational software gives a permanent record of the proceedings. Copyright © 2015 Elsevier Ltd. All rights reserved.

Developing a knowledge based generic theory of e-learning – and some implications for the design of e-learning

DEFF Research Database (Denmark)

Helms, Niels Henrik

2014-01-01

This brief paper offers a broad comprehensive definition: E-learning is the adaptation, sharing and development of knowledge which is mediated or partly mediated through digital media. In this definition both the organized formal and the informal e-learning is addressed. The definition...... is a starting point in a process of developing a reflexive theory of e-learing. In accordance with this the paper suggesting a design structure for e-learning with focus on different domains of knowledge....

An Adaptive Approach to Managing Knowledge Development in a Project-Based Learning Environment

Science.gov (United States)

Tilchin, Oleg; Kittany, Mohamed

2016-01-01

In this paper we propose an adaptive approach to managing the development of students' knowledge in the comprehensive project-based learning (PBL) environment. Subject study is realized by two-stage PBL. It shapes adaptive knowledge management (KM) process and promotes the correct balance between personalized and collaborative learning. The…

The promise of new ideas and new technology for improving teaching and learning.

Science.gov (United States)

Novak, Joseph D

2003-01-01

There have been enormous advances in our understanding of human learning in the past three decades. There have also been important advances in our understanding of the nature of knowledge and new knowledge creation. These advances, when combined with the explosive development of the Internet and other technologies, permit advances in educational practices at least as important as the invention of the printing press in 1460. We have built on the cognitive learning theory of David Ausubel and various sources of new ideas on epistemology. Our research program has focused on understanding meaningful learning and on developing better methods to achieve such learning and to assess progress in meaningful learning. The concept map tool developed in our program has proved to be highly effective both in promoting meaningful learning and in assessing learning outcomes. Concept mapping strategies are also proving powerful for eliciting, capturing, and archiving knowledge of experts and organizations. New technology for creating concept maps developed at the University of West Florida permits easier and better concept map construction, thus facilitating learning, knowledge capture, and local or distance creation and sharing of structured knowledge, especially when utilized with the Internet. A huge gap exists between what we now know to improve learning and use of knowledge and the practices currently in place in most schools and corporations. There are promising projects in progress that may help to achieve accelerated advances. These include projects in schools at all educational levels, including projects in Colombia, Costa Rica, Italy, Spain, and the United States, and collaborative projects with corporate organizations and distance learning projects. Results to date have been encouraging and suggest that we may be moving from the lag phase of educational innovation to a phase of exponential growth.

An active learning curriculum improves fellows' knowledge and faculty teaching skills.

Science.gov (United States)

Inra, Jennifer A; Pelletier, Stephen; Kumar, Navin L; Barnes, Edward L; Shields, Helen M

2017-01-01

Traditional didactic lectures are the mainstay of teaching for graduate medical education, although this method may not be the most effective way to transmit information. We created an active learning curriculum for Brigham and Women's Hospital (BWH) gastroenterology fellows to maximize learning. We evaluated whether this new curriculum improved perceived knowledge acquisition and knowledge base. In addition, our study assessed whether coaching faculty members in specific methods to enhance active learning improved their perceived teaching and presentation skills. We compared the Gastroenterology Training Exam (GTE) scores before and after the implementation of this curriculum to assess whether an improved knowledge base was documented. In addition, fellows and faculty members were asked to complete anonymous evaluations regarding their learning and teaching experiences. Fifteen fellows were invited to 12 lectures over a 2-year period. GTE scores improved in the areas of stomach ( p active learning curriculum. Scores in hepatology, as well as biliary and pancreatic study, showed a trend toward improvement ( p >0.05). All fellows believed the lectures were helpful, felt more prepared to take the GTE, and preferred the interactive format to traditional didactic lectures. All lecturers agreed that they acquired new teaching skills, improved teaching and presentation skills, and learned new tools that could help them teach better in the future. An active learning curriculum is preferred by GI fellows and may be helpful for improving transmission of information in any specialty in medical education. Individualized faculty coaching sessions demonstrating new ways to transmit information may be important for an individual faculty member's teaching excellence.

"Actually, I Wanted to Learn": Study-Related Knowledge Exchange on Social Networking Sites

Science.gov (United States)

Wodzicki, Katrin; Schwammlein, Eva; Moskaliuk, Johannes

2012-01-01

Social media open up multiple options to add a new dimension to learning and knowledge processes. Particularly, social networking sites allow students to connect formal and informal learning settings. Students can find like-minded people and organize informal knowledge exchange for educational purposes. However, little is known about in which way…

Designing self-monitoring warm-up strategy with blog-based learning system to support knowledge building

Directory of Open Access Journals (Sweden)

James Chan

2012-03-01

Full Text Available Preparing lessons before class is widely recognized as an effective means of increasing student motivation for classroom activities and learning outcome. However, the unclear status of lesson preparation generally discourages teachers and students from maintaining this effective learning strategy. This study applied the self-explanation theory and reading comprehension strategies to design a lesson warm-up mechanism that scaffolds knowledge building. A set of corresponding supporting tools were developed into a blog-based learning system (BBLS to implement the warm-up process. Results of a teaching experiment reveal positive effects of the tools on learning achievement, recall of old knowledge, connection between old and new knowledge, and understanding of new knowledge.

Knowledge sharing at the World Bank

International Nuclear Information System (INIS)

Denning, S.

2004-01-01

The World Bank is thus one of many organizations that have recognized that knowledge sharing is a central driver of the 21st century economy. The World Bank experience replicates what has been learned in many organizations that have attempted to implement an organization-wide program over the last eight years. Here are ten main features of that experience. 1. Knowledge sharing requires seven basic elements: strategy of knowledge management; organizing for knowledge management; budget of knowledge management; incentives for knowledge management; communities of practice; technology of knowledge management; measurement of KM strategy. 2. Communities of practice are the key to knowledge sharing. 3. Virtual community members also need physical interactions. 4. Passion is the driving force behind communities of practice. 5. Tacit knowledge can be at least partially captured. 6. Knowledge sharing has an inside-out and outside-in dynamic. 7. Storytelling is needed to ignite knowledge sharing. 8. Knowledge sharing is at some point confused with IT. 9. Vibrant communities of practice attract new talents. 10. Organizations are in different stages of knowledge sharing

On Combining Elements of Different Ways of Learning, Methods and Knowledge

Directory of Open Access Journals (Sweden)

Dušana Findeisen

2013-12-01

Full Text Available The paper deals with different thinkers' attitude towards methods in adult education. It examines the value of some elements of »trial and error learning« and »non-directive learning«. Like a multifaceted approach based on elements drawn from different methods, the way we learn can also be eclectic.  To illustrate this assertion, the author analyses the »anti method« used by Maurice Pialat, a French film director, contrasting it with methods in which the aim is set in advance and the process leading towards it is organised in sequences. This is most often the case in script-based shooting of films, directing a theatre performance or running adult education. Moreover, the author argues that learning about how to do something is combined with learning about how to be. She further emphasises that methods should not be used to impose one’s knowledge and one’s reality on the learner, thus destroying circumstances necessary for gaining or creating knowledge.

Play as mediator for knowledge-creation in Problem Based Learning

DEFF Research Database (Denmark)

Thorsted, Ann Charlotte; Bing, Rie Grønbeck; Kristensen, Michael

2015-01-01

the students find that this experience enhanced a different learning form, from the one they knew from their earlier PBL processes? What was it the playful approach to PBL as a learning method had mediated? The article leads on to a distinction and a model encircling three different knowledge forms based...

Employee’s Learning in the Organization - A Study of Knowledge Based Industries

Directory of Open Access Journals (Sweden)

Kuruppuge Ravindra Hewa

2018-03-01

Full Text Available This paper focuses on reviewing the learning behavior of individual employees in the firm over other influencing factors in knowledge-based industries in Sri Lanka. Using a stratified random sampling technique, a sample of 143 employees from jobs in Database Administration & Development, Systems & Network Administration, Web Development & Programming and Software Engineering was selected as respondents for the survey from 13 knowledge based industrial firms in Sri Lanka. After a descriptive analysis of the characteristics of respondents, the causal relationships among predictor and outcome variables were tested using the partial least squares regression method. The results indicated that the use of digital methods, digital tools, organizational identification and knowledge sharing are positively influenced by employee’s learning in the firm. Yet, the employee’s turnover intention has negatively influenced employee learning.

Apprenticeship Learning: Learning to Schedule from Human Experts

Science.gov (United States)

2016-06-09

identified by the heuristic . A spectrum of problems (i.e. traveling salesman, job-shop scheduling, multi-vehicle routing) was represented , as task locations...caus- ing the codification of this knowledge to become labori- ous. We propose a new approach for capturing domain- expert heuristics through a...demonstrate that this approach accu- rately learns multi-faceted heuristics on both a synthetic data set incorporating job-shop scheduling and vehicle

"Shut up and Squat!" Learning Body Knowledge within the Gym

Science.gov (United States)

Andreasson, Jesper

2014-01-01

The aim of this article is to describe and analyse learning processes among bodybuilders in bodybuilding environments, focusing on the ways activities form the basis for incorporation of both physical and cultural knowledge. Emanating from an ethnographic study, the arguments are based on a constructionist approach to knowledge. The result…

Make Gestures to Learn: Reproducing Gestures Improves the Learning of Anatomical Knowledge More than Just Seeing Gestures.

Science.gov (United States)

Cherdieu, Mélaine; Palombi, Olivier; Gerber, Silvain; Troccaz, Jocelyne; Rochet-Capellan, Amélie

2017-01-01

Manual gestures can facilitate problem solving but also language or conceptual learning. Both seeing and making the gestures during learning seem to be beneficial. However, the stronger activation of the motor system in the second case should provide supplementary cues to consolidate and re-enact the mental traces created during learning. We tested this hypothesis in the context of anatomy learning by naïve adult participants. Anatomy is a challenging topic to learn and is of specific interest for research on embodied learning, as the learning content can be directly linked to learners' body. Two groups of participants were asked to look at a video lecture on the forearm anatomy. The video included a model making gestures related to the content of the lecture. Both groups see the gestures but only one also imitate the model. Tests of knowledge were run just after learning and few days later. The results revealed that imitating gestures improves the recall of structures names and their localization on a diagram. This effect was however significant only in long-term assessments. This suggests that: (1) the integration of motor actions and knowledge may require sleep; (2) a specific activation of the motor system during learning may improve the consolidation and/or the retrieval of memories.

Make Gestures to Learn: Reproducing Gestures Improves the Learning of Anatomical Knowledge More than Just Seeing Gestures

Science.gov (United States)

Cherdieu, Mélaine; Palombi, Olivier; Gerber, Silvain; Troccaz, Jocelyne; Rochet-Capellan, Amélie

2017-01-01

Manual gestures can facilitate problem solving but also language or conceptual learning. Both seeing and making the gestures during learning seem to be beneficial. However, the stronger activation of the motor system in the second case should provide supplementary cues to consolidate and re-enact the mental traces created during learning. We tested this hypothesis in the context of anatomy learning by naïve adult participants. Anatomy is a challenging topic to learn and is of specific interest for research on embodied learning, as the learning content can be directly linked to learners' body. Two groups of participants were asked to look at a video lecture on the forearm anatomy. The video included a model making gestures related to the content of the lecture. Both groups see the gestures but only one also imitate the model. Tests of knowledge were run just after learning and few days later. The results revealed that imitating gestures improves the recall of structures names and their localization on a diagram. This effect was however significant only in long-term assessments. This suggests that: (1) the integration of motor actions and knowledge may require sleep; (2) a specific activation of the motor system during learning may improve the consolidation and/or the retrieval of memories. PMID:29062287

Make Gestures to Learn: Reproducing Gestures Improves the Learning of Anatomical Knowledge More than Just Seeing Gestures

Directory of Open Access Journals (Sweden)

Mélaine Cherdieu

2017-10-01

Full Text Available Manual gestures can facilitate problem solving but also language or conceptual learning. Both seeing and making the gestures during learning seem to be beneficial. However, the stronger activation of the motor system in the second case should provide supplementary cues to consolidate and re-enact the mental traces created during learning. We tested this hypothesis in the context of anatomy learning by naïve adult participants. Anatomy is a challenging topic to learn and is of specific interest for research on embodied learning, as the learning content can be directly linked to learners' body. Two groups of participants were asked to look at a video lecture on the forearm anatomy. The video included a model making gestures related to the content of the lecture. Both groups see the gestures but only one also imitate the model. Tests of knowledge were run just after learning and few days later. The results revealed that imitating gestures improves the recall of structures names and their localization on a diagram. This effect was however significant only in long-term assessments. This suggests that: (1 the integration of motor actions and knowledge may require sleep; (2 a specific activation of the motor system during learning may improve the consolidation and/or the retrieval of memories.

Knowledgeable Learning and Conceptual Change: Value Adding to Teacher Training

Science.gov (United States)

Yeigh, Tony

2013-01-01

This report concerns the use of pre and post responses to an online questionnaire as evidence of knowledgeable learning by education students at a regional Australian university. Factor analysis was used to reveal conceptual changes in the students' thinking about classroom management across a unit of learning they had undertaken. These changes…

Knowledge Sharing, Communities of Practice, and Learning Asset Integration - DAU's Major Initiatives

National Research Council Canada - National Science Library

Hickok, John

2005-01-01

.... What follows is an overview of Knowledge Sharing through the eyes of the Defense Acquisition University, along with some new initiatives called Learning Asset Integration and Workflow Learning...

Measuring Knowledge Integration Learning of Energy Topics: A Two-Year Longitudinal Study

Science.gov (United States)

Liu, Ou Lydia; Ryoo, Kihyun; Linn, Marcia C.; Sato, Elissa; Svihla, Vanessa

2015-01-01

Although researchers call for inquiry learning in science, science assessments rarely capture the impact of inquiry instruction. This paper reports on the development and validation of assessments designed to measure middle-school students' progress in gaining integrated understanding of energy while studying an inquiry-oriented curriculum. The…

Understanding the Knowledge and Use of Experiential Learning within Pennsylvania 4-H Clubs

Science.gov (United States)

Bechtel, Robyn; Ewing, John C.; Threeton, Mark; Mincemoyer, Claudia

2013-01-01

Experiential learning is incorporated into the National 4-H curriculum. However, the state 4-H staff in Pennsylvania is unsure of the current knowledge and use of experiential learning within the local 4-H clubs. An online survey was distributed to Extension educators and volunteer leaders within Pennsylvania to assess the current knowledge and…

An Approach for Externalization of Expert Tacit Knowledge Using a Query Management System in an E-Learning Environment

Science.gov (United States)

Khan, Abdul Azeez; Khader, Sheik Abdul

2014-01-01

E-learning or electronic learning platforms facilitate delivery of the knowledge spectrum to the learning community through information and communication technologies. The transfer of knowledge takes place from experts to learners, and externalization of the knowledge transfer is significant. In the e-learning environment, the learners seek…

Learning an Optimized Deep Neural Network for Link Prediction on Knowledge Graphs

NARCIS (Netherlands)

Wilcke, W.X.

2015-01-01

Recent years have seen the emergence of graph-based Knowledge Bases build upon Semantic Web technologies, known as Knowledge Graphs. Effectively learning from these complex relational structures remains a challenge yet to be overcome. Knowledge Graphs For this purpose, we are investigating the

Examining the Use of Lecture Capture Technology: Implications for Teaching and Learning

Directory of Open Access Journals (Sweden)

Jovan F. Groen

2016-06-01

Full Text Available This study sought to provide a better understanding of how lecture capture technology is used by students and how its use is related to student satisfaction, attendance, and academic performance. Using a mixed method design with both quantitative and qualitative methods to collect data, instruments included a student questionnaire, interviews and focus groups, lecture capture usage statistics, and grades. Results showed that 63% of students were satisfied with lecture capture and 75% of students indicated that it had facilitated their learning. Students primarily used the recordings to learn what they had missed while in class (79% or because they were absent (72%. 70% of students reported having watched at least 50% of the recorded material (27% watched all the material, and only 8% of students did not view any recordings. Student satisfaction had a significant positive relationship with the number of lectures viewed. In regards to attendance, the self-reported data from students indicated that 61% of students did not miss classes (none or just one class. Students with the greatest number of missed classes viewed the recordings more frequently. As for student achievement, 68% of students indicated that lecture capture helped them to achieve better grades. Students with lower course marks accessed the recordings more frequently than those with higher marks. Instructor perceptions were that lecture capture predominately helped average to below average students achieve slightly better marks, but had less of an impact on the grades for particularly low and high achieving students. Cette étude avait pour but de fournir une meilleure compréhension de la manière dont la capture de cours en vidéo est utilisée par les étudiants et comment son utilisation est reliée à la satisfaction des étudiants, à leur assiduité et à leurs résultats académiques. Grâce à un concept de méthodes mixtes comprenant des méthodes quantitatives et

Improving Online Collaboration for FR Knowledge Preservation – Repositories, E-learning and Sharing

International Nuclear Information System (INIS)

Grosbois, John de

2013-01-01

Nuclear Knowledge Portals: 1. Focus on common theme (e.g. technology); 2. Central homepage for multiple services or resources related to theme; 3. Focus on “community with shared interest”; Possible service bundle examples: • knowledge repository or archive access; • related news and/or events; • e-learning (learning management system); • “social media” for organizational collaboration

Learning About Semi Conductors for Teaching—the Role Played by Content Knowledge in Pedagogical Content Knowledge (PCK) Development

Science.gov (United States)

Rollnick, Marissa

2017-08-01

This study focuses on how teachers learn to teach a new topic and the role played by their developing content knowledge as they teach. The paper is based on seven high school science teachers' studies on the teaching of semiconductors, at the time a new topic in the curriculum. Analysis of artefacts such as teacher concept maps, video recordings of lessons, journals and other classroom-based evidence shows how the extent and type of teachers' content knowledge informed their choice of teaching approaches and how their learning of content took place alongside the development of teaching strategies. The development of content knowledge was combined with increased understanding of how to teach the topic in almost all cases. Evidence of development of teachers' PCK was found in their increased ability to design teaching strategies, and their use of representations and suitable assessment tasks for their lessons. Some specific common teaching strategies were identified across the teachers. These strategies could add to the canon of teachers' topic - specific professional knowledge for semiconductors. The study provides increased understanding of how teachers simultaneously master content and its teaching and how mediated self-reflection is a fruitful approach for assisting teachers to learn to teach a new topic.

In Light of Visual Arts – A knowledge transfer partnership project as experiential learning

Directory of Open Access Journals (Sweden)

Ming-hoi Lai

2013-10-01

Full Text Available Knowledge transfer between universities and the commercial sector is becoming more prevalent, and different processes have been adopted to facilitate the transfer of knowledge. The ‘In Light of Visual Arts’ project aimed to facilitate knowledge exchange in relation to an innovative concept, the ‘eco-philosophy of light’, between the lighting industry and the arts and cultural sector through an Informal Learning approach. Young visual artists, light designers and lighting technicians were encouraged to explore and exchange experiences in the areas of visual communication, art appreciation and art archiving to create practical lighting solutions. This project offers a feasible framework for the enhancement of artistic training through knowledge sharing, for the benefit of the participants themselves and, in turn, academia, industry and the community. Keywords: informal learning, experiential learning, knowledge transfer, art education, interdisciplinary study

STEM learning research through a funds of knowledge lens

Science.gov (United States)

Civil, Marta

2016-03-01

This article examines STEM learning as a cultural process with a focus on non-dominant communities. Building on my work in funds of knowledge and mathematics education, I present three vignettes to raise some questions around connections between in-school and out-of-school mathematics. How do we define competence? How do task and environment affect engagement? What is the role of affect, language, and cognition in different settings? These vignettes serve to highlight the complexity of moving across different domains of STEM practice—everyday life, school, and STEM disciplines. Based on findings from occupational interviews I discuss characteristics of learning and engaging in everyday practices and propose several areas for further research, including the nature of everyday STEM practices, valorization of knowledge, language choice, and different forms of engagement.

Motion Capturing Emotions

OpenAIRE

Wood Karen; Cisneros Rosemary E.; Whatley Sarah

2017-01-01

The paper explores the activities conducted as part of WhoLoDancE: Whole Body Interaction Learning for Dance Education which is an EU-funded Horizon 2020 project. In particular, we discuss the motion capture sessions that took place at Motek, Amsterdam as well as the dancers’ experience of being captured and watching themselves or others as varying visual representations through the HoloLens. HoloLens is Microsoft’s first holographic computer that you wear as you would a pair of glasses. The ...

Benefiting from Customer and Competitor Knowledge: A Market-Based Approach to Organizational Learning

Science.gov (United States)

Hoe, Siu Loon

2008-01-01

Purpose: The purpose of this paper is to review the organizational learning, market orientation and learning orientation concepts, highlight the importance of market knowledge to organizational learning and recommend ways in adopting a market-based approach to organizational learning. Design/methodology/approach: The extant organizational learning…

Receptive and Productive Vocabulary Learning: The Effects of Reading and Writing on Word Knowledge

Science.gov (United States)

Webb, Stuart

2005-01-01

This study investigates the effects of receptive and productive vocabulary learning on word knowledge. Japanese students studying English as a foreign language learned target words in three glossed sentences and in a sentence production task in two experiments. Five aspects of vocabulary knowledge--orthography, syntax, association, grammatical…

Learning and transfer of category knowledge in an indirect categorization task.

Science.gov (United States)

Helie, Sebastien; Ashby, F Gregory

2012-05-01

Knowledge representations acquired during category learning experiments are 'tuned' to the task goal. A useful paradigm to study category representations is indirect category learning. In the present article, we propose a new indirect categorization task called the "same"-"different" categorization task. The same-different categorization task is a regular same-different task, but the question asked to the participants is about the stimulus category membership instead of stimulus identity. Experiment 1 explores the possibility of indirectly learning rule-based and information-integration category structures using the new paradigm. The results suggest that there is little learning about the category structures resulting from an indirect categorization task unless the categories can be separated by a one-dimensional rule. Experiment 2 explores whether a category representation learned indirectly can be used in a direct classification task (and vice versa). The results suggest that previous categorical knowledge acquired during a direct classification task can be expressed in the same-different categorization task only when the categories can be separated by a rule that is easily verbalized. Implications of these results for categorization research are discussed.

Three Forms of the Knowledge Economy: Learning, Creativity and Openness

Science.gov (United States)

Peters, Michael A.

2010-01-01

This paper outlines and reviews three forms and associated discourses of the "knowledge economy": the "learning economy", based on the work of Bengt-Ake Lundvall; the "creative economy" based on the work of Charles Landry, John Howkins and Richard Florida; and the "open knowledge economy" based on the work of Yochai Benkler and others. Arguably,…

Evaluating Evidence-Based Practice Knowledge and Beliefs Through the e-Learning EBP Academy.

Science.gov (United States)

Green, Angela; Jeffs, Debra A; Boateng, Beatrice A; Lowe, Gary R; Walden, Marlene

2017-07-01

This research examined evidence-based practice (EBP) knowledge and beliefs before and after a 3-month e-learning program was implemented to build EBP capacity at a large children's hospital. Ten clinicians completed the development, implementation, and evaluation of the e-learning education, comprising phase one. Revision and participation by 41 clinicians followed in phase two. Participants in both phases completed the EBP Beliefs and Implementation Scales preintervention, postintervention, and 6 months after postintervention. EBP beliefs and implementation increased immediately and 6 months after postintervention, with statistically significant increases in both phases. Participants in both phases applied knowledge by completing mentor-supported EBP projects. Although EBP beliefs and implementation scores increased and e-learning provided flexibility for clinician participation, challenges arose, resulting in lower-than-expected completion. Subsequent revisions resulted in hybrid education, integrating classroom and e-learning with project mentoring. This funded e-learning research contributes knowledge to the growing specialty of professional development. J Contin Educ Nurs. 2017;48(7):304-311. Copyright 2017, SLACK Incorporated.

Comfort and experience with online learning: trends over nine years and associations with knowledge.

Science.gov (United States)

Cook, David A; Thompson, Warren G

2014-07-01

Some evidence suggests that attitude toward computer-based instruction is an important determinant of success in online learning. We sought to determine how comfort using computers and perceptions of prior online learning experiences have changed over the past decade, and how these associate with learning outcomes. Each year from 2003-2011 we conducted a prospective trial of online learning. As part of each year's study, we asked medicine residents about their comfort using computers and if their previous experiences with online learning were favorable. We assessed knowledge using a multiple-choice test. We used regression to analyze associations and changes over time. 371 internal medicine and family medicine residents participated. Neither comfort with computers nor perceptions of prior online learning experiences showed a significant change across years (p > 0.61), with mean comfort rating 3.96 (maximum 5 = very comfortable) and mean experience rating 4.42 (maximum 6 = strongly agree [favorable]). Comfort showed no significant association with knowledge scores (p = 0.39) but perceptions of prior experiences did, with a 1.56% rise in knowledge score for a 1-point rise in experience score (p = 0.02). Correlations among comfort, perceptions of prior experiences, and number of prior experiences were all small and not statistically significant. Comfort with computers and perceptions of prior experience with online learning remained stable over nine years. Prior good experiences (but not comfort with computers) demonstrated a modest association with knowledge outcomes, suggesting that prior course satisfaction may influence subsequent learning.

Knowledge vs. Action: Discrepancies in University Students' Knowledge about and Self-Reported Use of Self-Regulated Learning Strategies

Directory of Open Access Journals (Sweden)

Nora M. Foerst

2017-07-01

Full Text Available University students are supposed to be autonomous learners, able to adapt to an educational environment significantly less guided than school. Entering higher education poses a challenge of self-regulation, in which beginning students are often not prepared with self-regulation strategies needed. Since there are many studies assessing self-regulated learning (SRL via classical self-reports, we know a lot about how students generally self-assess their SRL strategies. However, SRL and performance do not always correlate highly in these studies. The aim of the present study is to determine whether there are discrepancies between students' knowledge about SRL and their action in applying adequate SRL strategies in relevant learning situations. We also want to know whether such discrepancies generalize across domains and what the reasons for discrepancies are. The situation-specific Self-Regulated Learning Questionnaire for Action and Knowledge (SRL-QuAK was used in a sample of 408 psychology and economic sciences students. Descriptive data analysis was conducted to determine potential discrepancies between SRL knowledge and action and differences between the study domains in an explorative way. The reasons for not using SRL-strategies were derived via qualitative content analysis. The results showed that although students had quite advanced knowledge of SRL strategies, they did not put this knowledge into action. This dissonance between SRL knowledge and action was found in both domains. In terms of reasons, students stated that they (a lacked the time to use SRL strategies, (b would not benefit from SRL strategies in the given situation, (c would not be able to put the strategies to use effectively or (d found it too arduous to use SRL strategies. The implications of these results will be discussed, e.g., the consequences for measures to overcome students' dissonance between knowledge and action and therefore to promote academic performance and

Knowledge vs. Action: Discrepancies in University Students' Knowledge about and Self-Reported Use of Self-Regulated Learning Strategies.

Science.gov (United States)

Foerst, Nora M; Klug, Julia; Jöstl, Gregor; Spiel, Christiane; Schober, Barbara

2017-01-01

University students are supposed to be autonomous learners, able to adapt to an educational environment significantly less guided than school. Entering higher education poses a challenge of self-regulation, in which beginning students are often not prepared with self-regulation strategies needed. Since there are many studies assessing self-regulated learning (SRL) via classical self-reports, we know a lot about how students generally self-assess their SRL strategies. However, SRL and performance do not always correlate highly in these studies. The aim of the present study is to determine whether there are discrepancies between students' knowledge about SRL and their action in applying adequate SRL strategies in relevant learning situations. We also want to know whether such discrepancies generalize across domains and what the reasons for discrepancies are. The situation-specific Self-Regulated Learning Questionnaire for Action and Knowledge (SRL-QuAK) was used in a sample of 408 psychology and economic sciences students. Descriptive data analysis was conducted to determine potential discrepancies between SRL knowledge and action and differences between the study domains in an explorative way. The reasons for not using SRL-strategies were derived via qualitative content analysis. The results showed that although students had quite advanced knowledge of SRL strategies, they did not put this knowledge into action. This dissonance between SRL knowledge and action was found in both domains. In terms of reasons, students stated that they (a) lacked the time to use SRL strategies, (b) would not benefit from SRL strategies in the given situation, (c) would not be able to put the strategies to use effectively or (d) found it too arduous to use SRL strategies. The implications of these results will be discussed, e.g., the consequences for measures to overcome students' dissonance between knowledge and action and therefore to promote academic performance and well-being.

Project-Based Learning and Student Knowledge Construction during Asynchronous Online Discussion

Science.gov (United States)

Koh, Joyce Hwee Ling; Herring, Susan C.; Hew, Khe Foon

2010-01-01

Project-based learning engages students in problem solving through artefact design. However, previous studies of online project-based learning have focused primarily on the dynamics of online collaboration; students' knowledge construction throughout this process has not been examined thoroughly. This case study analyzed the relationship between…

Knowledge Sharing, Communities of Practice, and Learning Asset Integration - DAU's Major Initiatives

National Research Council Canada - National Science Library

Hickok, John

2005-01-01

The concepts of Knowledge Management (KM) and knowledge communities have matured over the past decade and are being recognized as major enablers for personal learning and job performance in achieving organizational business objectives...

WE-F-BRB-00: New Developments in Knowledge-Based Treatment Planning and Automation

Energy Technology Data Exchange (ETDEWEB)

NONE

2015-06-15

Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, it is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.

WE-F-BRB-00: New Developments in Knowledge-Based Treatment Planning and Automation

International Nuclear Information System (INIS)

2015-01-01

Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, it is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented

RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach.

Science.gov (United States)

Pan, Xiaoyong; Shen, Hong-Bin

2017-02-28

RNAs play key roles in cells through the interactions with proteins known as the RNA-binding proteins (RBP) and their binding motifs enable crucial understanding of the post-transcriptional regulation of RNAs. How the RBPs correctly recognize the target RNAs and why they bind specific positions is still far from clear. Machine learning-based algorithms are widely acknowledged to be capable of speeding up this process. Although many automatic tools have been developed to predict the RNA-protein binding sites from the rapidly growing multi-resource data, e.g. sequence, structure, their domain specific features and formats have posed significant computational challenges. One of current difficulties is that the cross-source shared common knowledge is at a higher abstraction level beyond the observed data, resulting in a low efficiency of direct integration of observed data across domains. The other difficulty is how to interpret the prediction results. Existing approaches tend to terminate after outputting the potential discrete binding sites on the sequences, but how to assemble them into the meaningful binding motifs is a topic worth of further investigation. In viewing of these challenges, we propose a deep learning-based framework (iDeep) by using a novel hybrid convolutional neural network and deep belief network to predict the RBP interaction sites and motifs on RNAs. This new protocol is featured by transforming the original observed data into a high-level abstraction feature space using multiple layers of learning blocks, where the shared representations across different domains are integrated. To validate our iDeep method, we performed experiments on 31 large-scale CLIP-seq datasets, and our results show that by integrating multiple sources of data, the average AUC can be improved by 8% compared to the best single-source-based predictor; and through cross-domain knowledge integration at an abstraction level, it outperforms the state-of-the-art predictors by 6

Learning a Practice through Practise: Presenting Knowledge in Doctoral Spoken Presentations

Science.gov (United States)

Manidis, Marie; Addo, Rebecca

2017-01-01

Learning to "become doctor" requires PhD candidates to undertake progressive public displays--material and social--of knowledge. Knowledge in doctoral pedagogy is primarily realised textually, with speaking and writing remaining as the primary assessment rubrics of progress and of the qualification. Participating textually begins, in a…

SISL and SIRL: Two knowledge dissemination models with leader nodes on cooperative learning networks

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Li, Jingjing; Zhang, Yumei; Man, Jiayu; Zhou, Yun; Wu, Xiaojun

2017-02-01

Cooperative learning is one of the most effective teaching methods, which has been widely used. Students' mutual contact forms a cooperative learning network in this process. Our previous research demonstrated that the cooperative learning network has complex characteristics. This study aims to investigating the dynamic spreading process of the knowledge in the cooperative learning network and the inspiration of leaders in this process. To this end, complex network transmission dynamics theory is utilized to construct the knowledge dissemination model of a cooperative learning network. Based on the existing epidemic models, we propose a new susceptible-infected-susceptible-leader (SISL) model that considers both students' forgetting and leaders' inspiration, and a susceptible-infected-removed-leader (SIRL) model that considers students' interest in spreading and leaders' inspiration. The spreading threshold λcand its impact factors are analyzed. Then, numerical simulation and analysis are delivered to reveal the dynamic transmission mechanism of knowledge and leaders' role. This work is of great significance to cooperative learning theory and teaching practice. It also enriches the theory of complex network transmission dynamics.

Knowledge Transfer in Health Care Through Digitally Collecting Learning Experiences - Results of Witra Care.

Science.gov (United States)

Behrends, Marianne; Kupka, Thomas; Schmeer, Regina; Meyenburg-Altwarg, Iris; Marschollek, Michael

2016-01-01

The goal of the project Witra Care was to investigate how far the use of mobile technology is suitable to collect experience-based knowledge of nurses. Nine new employees and seven experienced nurses received for six weeks a mobile phone or a tablet pc with a mobile application that allowed them to collect learning object as pictures, videos, audio files or notes. In Witra Care the nurses created 303 learning objects. They have found the collecting of learning experiences was helpful for their learning processes. The learning objects demonstrate various aspects of daily routines in nursing. The results of Witra Care show that the documentation of learning experiences with mobile devices helps to gather information about the practical knowledge in the daily work of nurses, identifies individual learning needs of the employees and supports them in their personal learning processes.

Example-based learning: comparing the effects of additionally providing three different integrative learning activities on physiotherapy intervention knowledge.

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Dyer, Joseph-Omer; Hudon, Anne; Montpetit-Tourangeau, Katherine; Charlin, Bernard; Mamede, Sílvia; van Gog, Tamara

2015-03-07

Example-based learning using worked examples can foster clinical reasoning. Worked examples are instructional tools that learners can use to study the steps needed to solve a problem. Studying worked examples paired with completion examples promotes acquisition of problem-solving skills more than studying worked examples alone. Completion examples are worked examples in which some of the solution steps remain unsolved for learners to complete. Providing learners engaged in example-based learning with self-explanation prompts has been shown to foster increased meaningful learning compared to providing no self-explanation prompts. Concept mapping and concept map study are other instructional activities known to promote meaningful learning. This study compares the effects of self-explaining, completing a concept map and studying a concept map on conceptual knowledge and problem-solving skills among novice learners engaged in example-based learning. Ninety-one physiotherapy students were randomized into three conditions. They performed a pre-test and a post-test to evaluate their gains in conceptual knowledge and problem-solving skills (transfer performance) in intervention selection. They studied three pairs of worked/completion examples in a digital learning environment. Worked examples consisted of a written reasoning process for selecting an optimal physiotherapy intervention for a patient. The completion examples were partially worked out, with the last few problem-solving steps left blank for students to complete. The students then had to engage in additional self-explanation, concept map completion or model concept map study in order to synthesize and deepen their knowledge of the key concepts and problem-solving steps. Pre-test performance did not differ among conditions. Post-test conceptual knowledge was higher (P example and completion example strategies to foster intervention selection.

Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge.

Science.gov (United States)

Guyon, Isabelle; Saffari, Amir; Dror, Gideon; Cawley, Gavin

2008-01-01

We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in the form of a table, with each example being encoded as a linear feature vector. Is it worth spending time incorporating domain knowledge in feature construction or algorithm design, or can off-the-shelf programs working directly on simple low-level features do better than skilled data analysts? To answer these questions, we formatted five datasets using two data representations. The participants in the "prior knowledge" track used the raw data, with full knowledge of the meaning of the data representation. Conversely, the participants in the "agnostic learning" track used a pre-formatted data table, with no knowledge of the identity of the features. The results indicate that black-box methods using relatively unsophisticated features work quite well and rapidly approach the best attainable performance. The winners on the prior knowledge track used feature extraction strategies yielding a large number of low-level features. Incorporating prior knowledge in the form of generic coding/smoothing methods to exploit regularities in data is beneficial, but incorporating actual domain knowledge in feature construction is very time consuming and seldom leads to significant improvements. The AL vs. PK challenge web site remains open for post-challenge submissions: http://www.agnostic.inf.ethz.ch/.

Pedagogical Content Knowledge: Teacher’s Knowledge of Students in Learning Mathematics on Limit of Function Subject

Science.gov (United States)

Ma'rufi; Ketut Budayasa, I.; Juniati, Dwi

2018-01-01

This research aims at describing the profile of high school teacher’s Pedagogical Content Knowledge in learning mathematics from the perspective of teaching experience. Pedagogical Content Knowledge (PCK) covers teacher’s knowledge of subject matter, knowledge of pedagogy, and knowledge of students. The subject of this research was two high school mathematics teachers who have different teaching experience. The data were obtained through interview and observation then analyzed qualitatively. The focus of this research is the novice teacher’s PCK deals with knowledge of students. Knowledge of Student is defined as teacher’s knowledge about the students’ conception and misconception on limit of function material and teacher’s ability to cope with students’ difficulty, mistake, and misconception. The result of this research shows that novice teacher’s ability in analyzing the cause of students’ difficulty, mistake, and misconception was limited. Novice teacher tended to overcome the students’ difficulty, mistake, and misconception by re-explaining the procedure of question completion which is not understood by the students.

Learning object repositories as knowledge management systems

Directory of Open Access Journals (Sweden)

Demetrios G. Sampson

2013-06-01

Full Text Available Over the past years, a number of international initiatives that recognize the importance of sharing and reusing digital educational resources among educational communities through the use of Learning Object Repositories (LORs have emerged. Typically, these initiatives focus on collecting digital educational resources that are offered by their creators for open access and potential reuse. Nevertheless, most of the existing LORs are designed more as digital repositories, rather than as Knowledge Management Systems (KMS. By exploiting KMSs functionalities in LORs would bare the potential to support the organization and sharing of educational communities’ explicit knowledge (depicted in digital educational resources constructed by teachers and/or instructional designers and tacit knowledge (depicted in teachers’ and students’ experiences and interactions of using digital educational resources available in LORs. Within this context, in this paper we study the design and the implementation of fourteen operating LORs from the KMSs’ perspective, so as to identify additional functionalities that can support the management of educational communities’ explicit and tacit knowledge. Thus, we propose a list of essential LORs’ functionalities, which aim to facilitate the organization and sharing of educational communities’ knowledge. Finally, we present the added value of these functionalities by identifying their importance towards addressing the current demands of web-facilitated educational communities, as well as the knowledge management activities that they execute.

Design, Analysis and User Acceptance of Architectural Design Education in Learning System Based on Knowledge Management Theory

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Wu, Yun-Wu; Lin, Yu-An; Wen, Ming-Hui; Perng, Yeng-Hong; Hsu, I-Ting

2016-01-01

The major purpose of this study is to develop an architectural design knowledge management learning system with corresponding learning activities to help the students have meaningful learning and improve their design capability in their learning process. Firstly, the system can help the students to obtain and share useful knowledge. Secondly,…

Optimizing Knowledge Sharing in Learning Networks through Peer Tutoring

NARCIS (Netherlands)

Hsiao, Amy; Brouns, Francis; Kester, Liesbeth; Sloep, Peter

2009-01-01

Hsiao, Y. P., Brouns, F., Kester, L., & Sloep, P. (2009). Optimizing Knowledge Sharing in Learning Networks through Peer Tutoring. Presentation at the IADIS international conference on Cognition and Exploratory in Digital Age (CELDA 2009). November, 20-22, 2009, Rome, Italy.

Cohort Learning Online in Graduate Higher Education: Constructing Knowledge in Cyber Community

Directory of Open Access Journals (Sweden)

Gabriele I. E. Strohschen

2004-01-01

Full Text Available This paper discusses a qualitative participatory action research study, which examined the nature of the cohort learning experience in an online master’s program, from both faculty and student perspectives. After describing this online master’s program in adult education designed from a social constructivist theoretical frame, this paper discusses two primary areas of findings related to cohort learning. First, were those related to the ongoing negotiation of the learning process: the importance of an opening residential; a consistent but flexible cohort structure; and building ongoing relationships. Second, were those related to the ongoing construction of knowledge: the role of team-teaching and the cohort model in transformative learning; the application of theory to real life practice, and the value of group support and collaboration in conducting research and constructing knowledge. Implications for practice are discussed.

[Job rotation in anaesthesiological care: impacts on knowledge and learning].

Science.gov (United States)

Jordan, Silvia; Brauner, Elisabeth

2008-04-01

Job rotation in anaesthesiological care is explored in this article. Based on discussions of 'high reliability organizations', and based on current theory in social and organizational psychology, we empirically investigated the impact of job rotation on knowledge management and learning. The study was conducted at the University Hospital of Innsbruck during the job training period of novice nurse anaesthetists. Qualitative interviews were conducted as well as a questionnaire administered. Data were collected between September 2003 and June 2005. Observational and interview data were combined with a questionnaire study to assess transactive memory and cooperation using a mixed-method design. Qualitative data were analyzed using GABEK, a computer-supported content analysis system; quantitative data were analyzed statistically with SPSS. Results indicate that job rotation had both positive and negative effects on knowledge and learning. On the one hand, job rotation can foster flexibility and awareness of a person's own fallibility and lack of knowledge. On the other hand, trust, group cohesion, and social meta-knowledge can be hampered by constant rotation. Consequently, stabilization and change need equal consideration when designing work in high reliability organizations.

Beyond Learning Management Systems: Designing for Interprofessional Knowledge Building in the Health Sciences

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Leila Lax

2010-12-01

Full Text Available This paper examines theoretical, pedagogical, and technological differences between two technologies that have been used in undergraduate interprofessional health sciences at the University of Toronto. One, a learning management system, WebCT 2.0, supports online coursework. The other, a Knowledge Building environment, Knowledge Forum 2.0, supports the collaborative work of knowledge-creating communities. Seventy students from six health science programs (Dentistry, Medicine, Nursing, Occupational Therapy, Pharmacy and Physical Therapy participated online in a 5-day initiative to advance understanding of core principles and professional roles in pain assessment and management. Knowledge Forum functioned well as a learning management system but to preserve comparability between the two technologies its full resources were not brought into play. In this paper we examine three distinctive affordances of Knowledge Forum that have implications for health sciences education: (1 supports for Knowledge Building discourse as distinct from standard threaded discourse; (2 integration of sociocognitive functions as distinct from an assortment of separate tools; and (3 resources for multidimensional social and cognitive assessment that go beyond common participation indicators and instructor-designed quizzes and analyses. We argue that these design characteristics have the potential to open educational pathways that traditional learning management systems leave closed.

E-Learning and Knowledge Management: The MEMORAe Project.

Science.gov (United States)

Abel, Marie-Helene; Lenne, Dominique; Cisse, Omar

E-learning leads to changes in the way courses are conceived. Diffused through the Web, course content cannot be the pure transcription of a "classical" course. The students need to personalize it and to access it when they need it (just-in-time). The MEMORAe project aims at applying knowledge management techniques to improve the…

Contribution of Prior Semantic Knowledge to New Episodic Learning in Amnesia

Science.gov (United States)

Kan, Irene P.; Alexander, Michael P.; Verfaellie, Mieke

2009-01-01

We evaluated whether prior semantic knowledge would enhance episodic learning in amnesia. Subjects studied prices that are either congruent or incongruent with prior price knowledge for grocery and household items and then performed a forced-choice recognition test for the studied prices. Consistent with a previous report, healthy controls'…

The Knowledge Base as an Extension of Distance Learning Reference Service

Science.gov (United States)

Casey, Anne Marie

2012-01-01

This study explores knowledge bases as extension of reference services for distance learners. Through a survey and follow-up interviews with distance learning librarians, this paper discusses their interest in creating and maintaining a knowledge base as a resource for reference services to distance learners. It also investigates their perceptions…

The knowledge-Based Organization and Learning in Practice

DEFF Research Database (Denmark)

Kjelgaard, Jacob Brix

 Purpose: The purpose of the research project was to co-create functional knowledge management processes and to improve the social working environment at Strategy-Lab, a research center affiliated with the Department of Management, Aarhus School of Business, Aarhus University in Denmark.  Methodo...... Purpose: The purpose of the research project was to co-create functional knowledge management processes and to improve the social working environment at Strategy-Lab, a research center affiliated with the Department of Management, Aarhus School of Business, Aarhus University in Denmark...... where the results are tested in practice and then modified accordingly. This methodology was combined with Dunn and Dunn's Learning Styles Construct and Rundle and Dunn's Building Excellence Survey. In addition, Buber's philosophy of intersubjectivity was applied to the analysis as a language tool...... providing a common language for creating a communion working environment. Findings: The clinical inquiry action research methodology together with the application of Dunn and Dunn's learning styles construct and Rundle and Dunn's Building Excellence Survey were valuable tools for creating organizational...

Intelligent Learning for Knowledge Graph towards Geological Data

Directory of Open Access Journals (Sweden)

Yueqin Zhu

2017-01-01

Full Text Available Knowledge graph (KG as a popular semantic network has been widely used. It provides an effective way to describe semantic entities and their relationships by extending ontology in the entity level. This article focuses on the application of KG in the traditional geological field and proposes a novel method to construct KG. On the basis of natural language processing (NLP and data mining (DM algorithms, we analyze those key technologies for designing a KG towards geological data, including geological knowledge extraction and semantic association. Through this typical geological ontology extracting on a large number of geological documents and open linked data, the semantic interconnection is achieved, KG framework for geological data is designed, application system of KG towards geological data is constructed, and dynamic updating of the geological information is completed accordingly. Specifically, unsupervised intelligent learning method using linked open data is incorporated into the geological document preprocessing, which generates a geological domain vocabulary ultimately. Furthermore, some application cases in the KG system are provided to show the effectiveness and efficiency of our proposed intelligent learning approach for KG.

Facilitating Work Based Learning Projects: A Business Process Oriented Knowledge Management Approach

NARCIS (Netherlands)

Miao, Yongwu; Sloep, Peter; Koper, Rob

2009-01-01

Miao, Y., Sloep, P. B., & Koper, R. (2009). Facilitating Work Based Learning Projects: A Business Process Oriented Knowledge Management Approach. Presented at the 'Open workshop of TENCompetence - Rethinking Learning and Employment at a Time of Economic Uncertainty-event'. November, 19, 2009,

How students learn to coordinate knowledge of physical and mathematical models in cellular physiology

Science.gov (United States)

Lira, Matthew

This dissertation explores the Knowledge in Pieces (KiP) theory to account for how students learn to coordinate knowledge of mathematical and physical models in biology education. The KiP approach characterizes student knowledge as a fragmented collection of knowledge elements as opposed to stable and theory-like knowledge. This dissertation sought to use this theoretical lens to account for how students understand and learn with mathematical models and representations, such as equations. Cellular physiology provides a quantified discipline that leverages concepts from mathematics, physics, and chemistry to understand cellular functioning. Therefore, this discipline provides an exemplary context for assessing how biology students think and learn with mathematical models. In particular, the resting membrane potential provides an exemplary concept well defined by models of dynamic equilibrium borrowed from physics and chemistry. In brief, membrane potentials, or voltages, "rest" when the electrical and chemical driving forces for permeable ionic species are equal in magnitude but opposite in direction. To assess students' understandings of this concept, this dissertation employed three studies: the first study employed the cognitive clinical interview to assess student thinking in the absence and presence of equations. The second study employed an intervention to assess student learning and the affordances of an innovative assessment. The third student employed a human-computer-interaction paradigm to assess how students learn with a novel multi-representational technology. Study 1 revealed that students saw only one influence--the chemical gradient--and that students coordinated knowledge of only this gradient with the related equations. Study 2 revealed that students benefited from learning with the multi-representational technology and that the assessment detected performance gains across both calculation and explanation tasks. Last, Study 3 revealed how students

Assessing Implicit Knowledge in BIM Models with Machine Learning

DEFF Research Database (Denmark)

Krijnen, Thomas; Tamke, Martin

2015-01-01

architects and engineers are able to deduce non-explicitly explicitly stated information, which is often the core of the transported architectural information. This paper investigates how machine learning approaches allow a computational system to deduce implicit knowledge from a set of BIM models....

Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model

Science.gov (United States)

Pathak, Jaideep; Wikner, Alexander; Fussell, Rebeckah; Chandra, Sarthak; Hunt, Brian R.; Girvan, Michelle; Ott, Edward

2018-04-01

A model-based approach to forecasting chaotic dynamical systems utilizes knowledge of the mechanistic processes governing the dynamics to build an approximate mathematical model of the system. In contrast, machine learning techniques have demonstrated promising results for forecasting chaotic systems purely from past time series measurements of system state variables (training data), without prior knowledge of the system dynamics. The motivation for this paper is the potential of machine learning for filling in the gaps in our underlying mechanistic knowledge that cause widely-used knowledge-based models to be inaccurate. Thus, we here propose a general method that leverages the advantages of these two approaches by combining a knowledge-based model and a machine learning technique to build a hybrid forecasting scheme. Potential applications for such an approach are numerous (e.g., improving weather forecasting). We demonstrate and test the utility of this approach using a particular illustrative version of a machine learning known as reservoir computing, and we apply the resulting hybrid forecaster to a low-dimensional chaotic system, as well as to a high-dimensional spatiotemporal chaotic system. These tests yield extremely promising results in that our hybrid technique is able to accurately predict for a much longer period of time than either its machine-learning component or its model-based component alone.

A Holistic Approach to Knowledge Management and Social Learning: lessons learnt from military headquarters

Directory of Open Access Journals (Sweden)

Leoni Warne

2001-11-01

Full Text Available This paper reports on research conducted by the Enterprise Social Learning Architecture (ESLA team of the Defence Science and Technology Organisation. The ESLA team is investigating collaborative social learning within the Australian Defence Organisation (ADO. Social learning is tightly coupled to knowledge management. Three studies in three different settings have been conducted to date. The studies have provided multi-layered findings about social learning, and validated the use of ethnography for this purpose. Preliminary findings are discussed in this paper in terms of identified enablers and motivators for effective social learning and knowledge management. Although the paper deals with the defence environment, the findings can be generalised to other organisational settings, as the study deals with understanding the issues inherent in building sustainable and adaptive learning organisations.

Screen captures to support switching attention.

NARCIS (Netherlands)

Gellevij, M.R.M.; van der Meij, Hans

2002-01-01

The study set out to validate the supportive role of screen captures for switching attention. Forty-two participants learned how to work with Microsoft Excel with a paper manual. There were three types of manuals: a textual manual, a visual manual with full-screen captures, and a visual manual with

Knowledge as an Asset and Knowledge Management

OpenAIRE

Sevinç Gülseçen

2014-01-01

The most valuable resource available to any organization today is its knowledge asset which is stored in processes and information systems, corporate data warehouses, employees’ brains, copyrights and patents. Knowledge management is the process of capturing, distributing, and effectively using this knowledge. The factors affecting Knowledge Management can be listed as follows: organizational culture, knowledge manager, the evolution of knowledge, knowledge polution and technology.

Knowledge as an Asset and Knowledge Management

Directory of Open Access Journals (Sweden)

Sevinç Gülseçen

2014-03-01

Full Text Available The most valuable resource available to any organization today is its knowledge asset which is stored in processes and information systems, corporate data warehouses, employees’ brains, copyrights and patents. Knowledge management is the process of capturing, distributing, and effectively using this knowledge. The factors affecting Knowledge Management can be listed as follows: organizational culture, knowledge manager, the evolution of knowledge, knowledge polution and technology.

Incorporating rapid neocortical learning of new schema-consistent information into complementary learning systems theory.

Science.gov (United States)

McClelland, James L

2013-11-01

The complementary learning systems theory of the roles of hippocampus and neocortex (McClelland, McNaughton, & O'Reilly, 1995) holds that the rapid integration of arbitrary new information into neocortical structures is avoided to prevent catastrophic interference with structured knowledge representations stored in synaptic connections among neocortical neurons. Recent studies (Tse et al., 2007, 2011) showed that neocortical circuits can rapidly acquire new associations that are consistent with prior knowledge. The findings challenge the complementary learning systems theory as previously presented. However, new simulations extending those reported in McClelland et al. (1995) show that new information that is consistent with knowledge previously acquired by a putatively cortexlike artificial neural network can be learned rapidly and without interfering with existing knowledge; it is when inconsistent new knowledge is acquired quickly that catastrophic interference ensues. Several important features of the findings of Tse et al. (2007, 2011) are captured in these simulations, indicating that the neural network model used in McClelland et al. has characteristics in common with neocortical learning mechanisms. An additional simulation generalizes beyond the network model previously used, showing how the rate of change of cortical connections can depend on prior knowledge in an arguably more biologically plausible network architecture. In sum, the findings of Tse et al. are fully consistent with the idea that hippocampus and neocortex are complementary learning systems. Taken together, these findings and the simulations reported here advance our knowledge by bringing out the role of consistency of new experience with existing knowledge and demonstrating that the rate of change of connections in real and artificial neural networks can be strongly prior-knowledge dependent. PsycINFO Database Record (c) 2013 APA, all rights reserved.

Declarative knowledge and professional vision in teacher education: effect of courses in teaching and learning.

Science.gov (United States)

Stürmer, Kathleen; Könings, Karen D; Seidel, Tina

2013-09-01

Teachers' professional vision includes the ability to apply general pedagogical knowledge about components of effective teaching and learning to reason about significant features of classroom practice. It requires teachers to (a) describe, (b) explain, and (c) predict classroom situations. Although the acquisition of underling knowledge can be considered as a key element of university-based teacher education programmes, to date, there has been little empirical research on teacher candidates' development of professional vision. This study aims to improve understanding of how different university-based courses in teaching and learning impact the development of professional vision. Participants were teacher candidates (N= 53) attending the same teacher education programme at a German university. They were enrolled in one of three different compulsory courses in teaching and learning, lasting one semester. In a pre-test-post-test design, participants' declarative knowledge about teaching and learning was measured with a test, professional vision with the online tool Observer. Analysis of covariance and multivariate analysis of variance were conducted. Teacher candidates in all three courses showed significant gains both in declarative knowledge and professional vision. Patterns of results differed depending on the course attended. A video-based course with a focus on effective teaching resulted in highest gains in prediction of the consequences of observed events for student learning processes, which is the highest level of knowledge transfer. The development of professional vision is a strongly knowledge-guided process. In line with their content and aims, university-based courses can enhance teaching-relevant knowledge for teacher candidates. © 2012 The British Psychological Society.

Attitude, Knowledge and Skill of Medical Students Toward E-Learning Kerman University Of Medical Sciences

Directory of Open Access Journals (Sweden)

Okhovati M

2015-04-01

Full Text Available  Aims: According to the development of e-learning and its high efficiency on the development of Iran’s universities, level of knowledge and the attitude of the students to this modern method of education and indeed students’ skills in using it needed to be assessed to improve the quality and quantity of universities’ education. This study aimed to determine the attitude, knowledge and skill of medical students toward e-learning at Kerman University of Medical Sciences.  Instrument & Methods: In this descriptive cross-sectional study that was performed in 2013, 196 students of Kerman University of Medical Sciences were selected using proportional stratified sampling method. The research instrument was a valid and reliable questionnaire. Data were analyzed using Pearson correlation coefficient, ANOVA and independent T tests by SPSS 19 software.  Findings: The level of knowledge and skill of the students toward e-learning was “moderate” and their attitude was “high”. There were significant relationships between knowledge and skill (p=0.001 r=0.82 and also knowledge and attitude (p=0.001 r=0.37 but there was no significant relationship between skill and attitude (p=0.35 r=0.82. The scores of knowledge and skill were significantly different according to sex, but attitude had no significant difference with sex.  Conclusion: Kerman University of Medical Sciences’ students have a positive attitude to e-learning but according to their moderate knowledge and skills, performing this method of learning is not welcomed in this university.

Facilitating Work Based Learning Projects: A Business Process Oriented Knowledge Management Approach

NARCIS (Netherlands)

Miao, Yongwu; Sloep, Peter; Koper, Rob

2009-01-01

Miao, Y., Sloep, P. B., & Koper, R. (2010). Facilitating Work Based Learning Projects: A Business Process Oriented Knowledge Management Approach. In D. Griffiths & R. Koper (Eds.), Rethinking Learning and Employment at a Time of Economic Uncertainty. Proceedings of the 6th TENCompetence Open

Using lecture capture: a qualitative study of nursing faculty's experience.

Science.gov (United States)

Freed, Patricia E; Bertram, Julie E; McLaughlin, Dorcas E

2014-04-01

As lecture capture technology becomes widely available in schools of nursing, faculty will need to master new technological skills and make decisions about recording their classroom lectures or other activities. This study sought to understand faculty's experience of using a new lecture capture system. This qualitative study used Kruger's systematic approach to explore undergraduate nursing faculty's first-time experience using a lecture capture system purchased by the university. Four focus groups were conducted with a total of fourteen undergraduate faculty using lecture capture for the first-time. The interviews were recorded and transcribed and then analyzed by the researchers. Four themes were identified from the faculty interviews. Two of the themes expressed faculty's concerns about the teaching role, and two themes expressed the faculty's concerns about student learning. Participants experienced stress when learning to use the new lecture capture technology and struggled to resolve it with their own beliefs and teaching values. The impact of lecture capture on student learning, impact on class attendance, and the promotion of a culture of lecturing were revealed as important issues to consider when lecture capture becomes available. © 2013.

Education and Knowledge Production in Workers' Struggles: Learning to Resist, Learning from Resistance

Science.gov (United States)

Choudry, Aziz; Bleakney, David

2013-01-01

Trade unions and other sites of community-labour organizing such as workers centres are rich, yet contested spaces of education and knowledge production in which both non-formal and informal / incidental forms of learning occur. Putting forward a critique of dominant strands of worker education, the authors ask what spaces exist for social…

Sustaining knowledge in the neutron generator community and benchmarking study.

Energy Technology Data Exchange (ETDEWEB)

Barrentine, Tameka C.; Kennedy, Bryan C.; Saba, Anthony W.; Turgeon, Jennifer L.; Schneider, Julia Teresa; Stubblefield, William Anthony; Baldonado, Esther

2008-03-01

In 2004, the Responsive Neutron Generator Product Deployment department embarked upon a partnership with the Systems Engineering and Analysis knowledge management (KM) team to develop knowledge management systems for the neutron generator (NG) community. This partnership continues today. The most recent challenge was to improve the current KM system (KMS) development approach by identifying a process that will allow staff members to capture knowledge as they learn it. This 'as-you-go' approach will lead to a sustainable KM process for the NG community. This paper presents a historical overview of NG KMSs, as well as research conducted to move toward sustainable KM.

Effectiveness of adolescent suicide prevention e-learning modules that aim to improve knowledge and self-confidence of gatekeepers: study protocol for a randomized controlled trial.

Science.gov (United States)

Ghoncheh, Rezvan; Kerkhof, Ad J F M; Koot, Hans M

2014-02-08

Providing e-learning modules can be an effective strategy for enhancing gatekeepers' knowledge, self-confidence and skills in adolescent suicide prevention. The aim of this study was to test the effectiveness of an online training program called Mental Health Online which consists of eight short e-learning modules, each capturing an important aspect of the process of recognition, guidance and referral of suicidal adolescents (12-20 years). The primary outcomes of this study are participant's ratings on perceived knowledge, perceived self-confidence, and actual knowledge regarding adolescent suicidality. A randomized controlled trial will be carried out among 154 gatekeepers. After completing the first assessment (pre-test), participants will be randomly assigned to either the experimental group or the waitlist control group. One week after completing the first assessment the experimental group will have access to the website Mental Health Online containing the eight e-learning modules and additional information on adolescent suicide prevention. Participants in both conditions will be assessed 4 weeks after completing the first assessment (post-test), and 12 weeks after completing the post-test (follow-up). At post-test, participants from the experimental group are asked to complete an evaluation questionnaire on the modules. The waitlist control group will have access to the modules and additional information on the website after completing the follow-up assessment. Gatekeepers can benefit from e-learning modules on adolescent suicide prevention. This approach allows them to learn about this sensitive subject at their own pace and from any given location, as long as they have access to the Internet. Given the flexible nature of the program, each participant can compose his/her own training creating an instant customized course with the required steps in adolescent suicide prevention. Netherlands Trial Register NTR3625.

Evaluation of the impact of a diabetes education eLearning program for school personnel on diabetes knowledge, knowledge retention and confidence in caring for students with diabetes.

Science.gov (United States)

Taha, Nehad A; Rahme, Zahra; Mesbah, Naglaa; Mahmoud, Fatma; AlKandari, Sarah; Othman, Nashwa; Sharaikha, Hanan; Lari, Bashayer S; AlBeloushi, Shaima; Saad, Eglal; Arefanian, Hossein; Sukkar, Faten F

2018-05-01

To study the impact of a novel comprehensive eLearning approach in delivering diabetes related education program that includes knowledge and sets of practices to the school personnel in Kuwait to enable them to provide a supportive environment for students with diabetes. The program was designed with three components namely; knowledge, skills and recommendations. The diabetes knowledge was delivered through an interactive eLearning program, the effectiveness of which was assessed using diabetes knowledge questionnaires which were deployed pre- and post-course delivery. Additionally, the participants' knowledge retention and confidence in caring for a student with diabetes were evaluated at 6 or 12 months post-intervention. A total of 124 public schools' personnel participated in the program. Post e-Learning delivery, diabetes knowledge increased significantly from baseline (p eLearning diabetes education for school personnel increases their knowledge which can be retained for up to 12 months and imparts confidence in caring for students with diabetes. This novel approach of delivering diabetes education will help school personnel in managing students with diabetes. Copyright © 2018 Elsevier B.V. All rights reserved.

Using Service-Learning in Urban Areas in Semarang Regency to Address Local Knowledge System

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Rully Adi Nugroho

2017-08-01

Full Text Available Service-learning has gained substantial recognition as an effective type of pedagogy and has enhanced civic education across the disciplines, however remains a lack of understanding of this type of learning in Indonesia. The goals of the study were (1 to explore the forms of local knowledge systems practiced in Semarang Regency and how they are used in resources conservation using service-learning method, (2 to foster student engagement with the community, and (3 to promote student awareness of community resources that are directly relevant to local knowledge system issues. The success of the service-learning projects in meeting these goals was assessed via qualitative analysis of student reflective papers and classroom presentations. The results indicated there were local knowledges that were still successfully in use, but often only very locally. Furthermore, the results also indicated that the service-learning projects promoted students’ valuable academic skills, including communication, team-building, and critical thinking, built their self-esteem, their awareness of community needs and resources, and demonstrated the relevance of course content to real life.

Digital Repositories of Learning Material as a Support Tool for Knowledge Management and Capacity Building

International Nuclear Information System (INIS)

Marmonti, E.

2016-01-01

Full text: For some years, digital repositories are emerging as a de facto standard service for storing, preserving and disseminate knowledge: academic, scientific information and, more recently, primary research data of institutions. Some of the digital repositories host also collections of material classified as learning objects; some others are created to manage only learning objects (LO), as the Learning Objects Digital Repositories, or were built to function as learning objects aggregators. The term “learning object” itself is involving different types of structures, organization and complexity. This paper will show how digital repositories, metadata standards and semantic web technologies can be valuable tools for managing educational content, which can contribute to build a learning and knowledge driven organization. (author

Identification of the Learning Styles and "On-the-Job" Learning Methods Implemented by Nurses for Promoting Their Professional Knowledge and Skills.

Science.gov (United States)

Rassin, Michal; Kurzweil, Yaffa; Maoz, Yael

2015-05-09

The aim of this study was to identify the learning styles and methods used by nurses to promote their professional knowledge and skills. 928 nurses from 11 hospitals across Israel completed 2 questionnaires, (1) Kolb's Learning Style Inventory, Version 3.1. and (2) the On-The-Job Learning Styles Questionnaire for the Nursing Profession. The most common learning style was the convergent style. The other learning styles were rated in the following descending order: accommodation, assimilation, and divergence. The on-the-job learning style consistently ranked highest was experience of relevant situations. On the other hand, seeking knowledge from books, journals, television, or the Internet was ranked lowest on all the indicators examined. With respect to general and on-the-job learning styles, statistically significant differences were found between groups of nurses by: country of birth, gender, department, age, education, and role. Nurses required to take more personal responsibility for their own professional development by deepening their self-learning skills.

An Intelligent Knowledge Management System from a Semantic Perspective

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Vasile MAZILESCU

2008-01-01

Full Text Available Knowledge Management Systems (KMS are important tools by whichorganizations can better use information and, more importantly, manageknowledge. Unlike other strategies, knowledge management (KM is difficult todefine because it encompasses a range of concepts, management tasks,technologies, and organizational practices, all of which come under the umbrella ofthe information management. Semantic approaches allow easier and more efficienttraining, maintenance, and support knowledge. Current ICT markets are dominatedby relational databases and document-centric information technologies, proceduralalgorithmic programming paradigms, and stack architecture. A key driver of globaleconomic expansion in the coming decade is the build-out of broadbandtelecommunications and the deployment of intelligent services bundling. This paperintroduces the main characteristics of an Intelligent Knowledge ManagementSystem as a multiagent system used in a Learning Control Problem (IKMSLCP,from a semantic perspective. We describe an intelligent KM framework, allowingthe observer (a human agent to learn from experience. This framework makes thesystem dynamic (flexible and adaptable so it evolves, guaranteeing high levels ofstability when performing his domain problem P. To capture by the agent who learnthe control knowledge for solving a task-allocation problem, the control expertsystem uses at any time, an internal fuzzy knowledge model of the (businessprocess based on the last knowledge model.

Physical Activity and Fitness Knowledge Learning in Physical Education: Seeking a Common Ground

Science.gov (United States)

Chen, Senlin; Chen, Ang; Sun, Haichun; Zhu, Xihe

2013-01-01

Motivation to learn is a disposition developed through exposure to learning opportunities. Guided by the expectancy-value theory of Eccles and Wigfield (1995), this study examined the extent to which expectancy belief and task value influenced elementary school students' physical activity and knowledge learning in physical education (PE).…

Learning, Unlearning and Relearning--Knowledge Life Cycles in Library and Information Science Education

Science.gov (United States)

Bedford, Denise A. D.

2015-01-01

The knowledge life cycle is applied to two core capabilities of library and information science (LIS) education--teaching, and research and development. The knowledge claim validation, invalidation and integration steps of the knowledge life cycle are translated to learning, unlearning and relearning processes. Mixed methods are used to determine…

Competency development information system - Knowledge management based competency development management tool

International Nuclear Information System (INIS)

Aminuddin, R.; Zainuddin, Z.; Taib, Z.; Hamid, A.H.Ab.; Hamdan, S.N.

2007-01-01

Full text: Knowledge identification, acquisition, sharing, preservation and measurement are some of the desired habits and processes necessary for knowledge management to be effective and contributes to increased innovation, organizational value, competitiveness and sustainability. The knowledge workers in the K-economic era are expected to be an innovative knowledge professional who are capable of managing their own work as well as their own competency development. Organizations however need to provide an environment, tools and policies to support and encourage learning and knowledge acquisition in all forms, methods and approaches beyond what is traditionally done. For an ordinary knowledge professional, he is only interested in developing the necessary competency to complete his assigned tasks and progress in his career. He would not be interested to learn and be lectured on knowledge management or learning principles and concepts. But for the organization it is not only important that its staff members understand and able to go through the process of acquiring the necessary skills to carry out their current and future tasks at the right time, but it has to ensure that what they learn or their individual knowledge is converted into organizational knowledge, utilised, shared and preserved. Hence it is important that tools are provided and policies are set in place to ensure that staff identify, acquire, utilise, share and preserve knowledge necessary for organizational sustainability and growth. A Competency Development Information System was recently developed to address the issue of inculcating the habit of identifying, acquiring, utilising, sharing, preserving and measuring knowledge among staff members hands-on by doing and repeating without having to learn the theory first. Besides that it helps organization manage competency development processes from analysis to planning, implementing and right through to evaluation. The process starts from capturing

Using Social Network and Dropbox in Blended Learning: an Application to University Education

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Justo de Jorge Moreno

2012-12-01

Full Text Available The main objective of this study is to analyze the use of the Social Networking and dropbox in blended learning by University students. We try identifying this method, over the student’s performance. The results show that the implementation of blended learning has a positive effect on in learning outcomes. The use of the Knowledge Management process has enabled captures a three-factor structure that reflected the five types of knowledge. The segmentation of the student sample analyzed using cluster technique, has established a clear typology of four groups. Students with higher levels of learning are related to the increased use of resources used and more proactive in blended learning.

A modelling approach to study learning processes with a focus on knowledge creation

NARCIS (Netherlands)

Naeve, Ambjorn; Yli-Luoma, Pertti; Kravcik, Milos; Lytras, Miltiadis

2008-01-01

Naeve, A., Yli-Luoma, P., Kravcik, M., & Lytras, M. D. (2008). A modelling approach to study learning processes with a focus on knowledge creation. International Journal Technology Enhanced Learning, 1(1/2), 1–34.

Teaching Place Value Concepts to First Grade Romanian Students: Teacher Knowledge and its Influence on Student Learning

Science.gov (United States)

Tanase, Madalina

2011-01-01

Researchers (Ball, 2003; Ma, 1999; Schulman, 1986) have long investigated how a teacher's subject matter and pedagogical content knowledge impact on students' learning of mathematics. In an attempt to account for the relationship between teacher knowledge and student learning, this study examined four Romanian first grade teachers' knowledge about…

Inexplicit Learning: Transferring Knowledge through Visual and Emulative practices

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Koumudi Patil

2017-12-01

Full Text Available This study attempts to understand how expert knowledge is transmitted in the absence or lack of explicit and formal means of knowledge acquisition, with particular interest in the evolved relationship of a master-apprentice, observable in pockets of traditional communities of practice. An ethnographic study based on content analysis of the transcriptions of members of a craft community from Varanasi, India has been used to strengthen the undermined pedagogical role of observation and emulation in the transfer of inexplicit knowledge. It is argued that in-situ observation and emulation foster situations for facilitating co-production of knowledge, further implying co-authorship. Gaining community membership in craft communities is not merely a matter of gaining a professional degree; instead, it is a slow process of enculturation.Keywords: Observation, Emulation, Inexplicit learning, Master-apprentice. Communities of Practice

A knowledge representation approach using fuzzy cognitive maps for better navigation support in an adaptive learning system.

Science.gov (United States)

Chrysafiadi, Konstantina; Virvou, Maria

2013-12-01

In this paper a knowledge representation approach of an adaptive and/or personalized tutoring system is presented. The domain knowledge should be represented in a more realistic way in order to allow the adaptive and/or personalized tutoring system to deliver the learning material to each individual learner dynamically taking into account her/his learning needs and her/his different learning pace. To succeed this, the domain knowledge representation has to depict the possible increase or decrease of the learner's knowledge. Considering that the domain concepts that constitute the learning material are not independent from each other, the knowledge representation approach has to allow the system to recognize either the domain concepts that are already partly or completely known for a learner, or the domain concepts that s/he has forgotten, taking into account the learner's knowledge level of the related concepts. In other words, the system should be informed about the knowledge dependencies that exist among the domain concepts of the learning material, as well as the strength on impact of each domain concept on others. Fuzzy Cognitive Maps (FCMs) seem to be an ideal way for representing graphically this kind of information. The suggested knowledge representation approach has been implemented in an e-learning adaptive system for teaching computer programming. The particular system was used by the students of a postgraduate program in the field of Informatics in the University of Piraeus and was compared with a corresponding system, in which the domain knowledge was represented using the most common used technique of network of concepts. The results of the evaluation were very encouraging.

Pedagogical-Research Designs to Capture the Symbiotic Nature of Professional Knowledge and Learning about e-Learning in Initial Teacher Education in the UK

Science.gov (United States)

Turvey, Keith

2010-01-01

This paper argues that if new communications technologies and online spaces are to yield "new relationship[s] with learners" then research that is tuned to recognize, capture and explain the pedagogical processes at the center of such interactions is vital. This has implications for the design of pedagogical activities within Initial…

Preservation and Implementation of Decommissioning Lessons Learned in the United States Nuclear Regulatory Commission

International Nuclear Information System (INIS)

Rodriguez, Rafael L.

2008-01-01

Over the past several years, the United States Nuclear Regulatory Commission (NRC) has actively worked to capture and preserve lessons learned from the decommissioning of nuclear facilities. More recently, NRC has involved industry groups, the Organization of Agreement States (OAS), and the Department of Energy (DOE) in the effort to develop approaches to capture, preserve and disseminate decommissioning lessons learned. This paper discusses the accomplishments of the working group, some lessons learned by the NRC in the recent past, and how NRC will incorporate these lessons learned into its regulatory framework. This should help ensure that the design and operation of current and future nuclear facilities will result in less environmental impact and more efficient decommissioning. In summary, the NRC will continue capturing today's experience in decommissioning so that future facilities can take advantage of lessons learned from today's decommissioning projects. NRC, both individually and collectively with industry groups, OAS, and DOE, is aggressively working on the preservation and implementation of decommissioning lessons learned. The joint effort has helped to ensure the lessons from the whole spectrum of decommissioning facilities (i.e., reactor, fuel cycle, and material facilities) are better understood, thus maximizing the amount of knowledge and best practices obtained from decommissioning activities. Anticipated regulatory activities at the NRC will make sure that the knowledge gained from today's decommissioning projects is preserved and implemented to benefit the nuclear facilities that will decommission in the future

Building Knowledge Structures by Testing Helps Children With Mathematical Learning Difficulty.

Science.gov (United States)

Zhang, Yiyun; Zhou, Xinlin

2016-01-01

Mathematical learning difficulty (MLD) is prevalent in the development of mathematical abilities. Previous interventions for children with MLD have focused on number sense or basic mathematical skills. This study investigated whether mathematical performance of fifth grade children with MLD could be improved by developing knowledge structures by testing using a web-based curriculum learning system. A total of 142 children with MLD were recruited; half of the children were in the experimental group (using the system), and the other half were in the control group (not using the system). The children were encouraged to use the web-based learning system at home for at least a 15-min session, at least once a week, for one and a half months. The mean accumulated time of testing on the system for children in the experimental group was 56.2 min. Children in the experimental group had significantly higher scores on their final mathematical examination compared to the control group. The results suggest that web-based curriculum learning through testing that promotes the building of knowledge structures for a mathematical course was helpful for children with MLD. © Hammill Institute on Disabilities 2014.

Effects of Example Variability and Prior Knowledge in How Students Learn to Solve Equations

Science.gov (United States)

Guo, Jian-Peng; Yang, Ling-Yan; Ding, Yi

2014-01-01

Researchers have consistently demonstrated that multiple examples are better than one example in facilitating learning because the comparison evoked by multiple examples supports learning and transfer. However, research outcomes are unclear regarding the effects of example variability and prior knowledge on learning from comparing multiple…

Exploring Students' Knowledge Construction Strategies in Computer-Supported Collaborative Learning Discussions Using Sequential Analysis

NARCIS (Netherlands)

Shukor, N.B.A.; Tasir, Z.; Meijden, H.A.T. van der; Harun, J.

2014-01-01

Online collaborative learning allows discussion to occur at greater depth where knowledge can be constructed remotely. However students were found to construct knowledge at low-level where they discussed by sharing and comparing opinions; those are inadequate for new knowledge creation. As such,

Connectivism: A knowledge learning theory for the digital age?

Science.gov (United States)

Goldie, John Gerard Scott

2016-10-01

The emergence of the internet, particularly Web 2.0 has provided access to the views and opinions of a wide range of individuals opening up opportunities for new forms of communication and knowledge formation. Previous ways of navigating and filtering available information are likely to prove ineffective in these new contexts. Connectivism is one of the most prominent of the network learning theories which have been developed for e-learning environments. It is beginning to be recognized by medical educators. This article aims to examine connectivism and its potential application. The conceptual framework and application of connectivism are presented along with an outline of the main criticisms. Its potential application in medical education is then considered. While connectivism provides a useful lens through which teaching and learning using digital technologies can be better understood and managed, further development and testing is required. There is unlikely to be a single theory that will explain learning in technological enabled networks. Educators have an important role to play in online network learning.

Learning and Development Expertise: An Australian Analysis

Science.gov (United States)

Hodge, Steven; Harvey, Jack

2015-01-01

Learning and development (L&D) practitioners draw on a distinctive range of knowledge, skills and techniques in their work. Over the years, there have been attempts to capture this range and identify typical L&D roles. The research presented here was undertaken to identify characteristic areas of expertise (AOEs) of L&D practice in…

Linking departmental priorities to knowledge management: the experiences of Santa Cruz County's Human Services Department.

Science.gov (United States)

Lindberg, Arley

2012-01-01

Federal welfare reform, local service collaborations, and the evolution of statewide information systems inspired agency interest in evidence-informed practice and knowledge sharing systems. Four agency leaders, including the Director, Deputy Director, Director of Planning and Evaluation, and Staff Development Program Manager championed the development of a learning organization based on knowledge management throughout the agency. Internal department restructuring helped to strengthen the Planning and Evaluation, Staff Development, and Personnel units, which have become central to supporting knowledge sharing activities. The Four Pillars of Knowledge framework was designed to capture agency directions in relationship to future knowledge management goals. Featuring People, Practice, Technology and Budget, the framework links the agency's services, mission and goals to the process of becoming a learning organization. Built through an iterative process, the framework was created by observing existing activities in each department rather than being designed from the top down. Knowledge management can help the department to fulfill its mission despite reduced resources. Copyright © Taylor & Francis Group, LLC

Facilitating Effective Digital Game-Based Learning Behaviors and Learning Performances of Students Based on a Collaborative Knowledge Construction Strategy

Science.gov (United States)

Sung, Han-Yu; Hwang, Gwo-Jen

2018-01-01

Researchers have recognized the potential of educational computer games in improving students' learning engagement and outcomes; however, facilitating effective learning behaviors during the gaming process remains an important and challenging issue. In this paper, a collaborative knowledge construction strategy was incorporated into an educational…

Effects of a Web-based course on nursing skills and knowledge learning.

Science.gov (United States)

Lu, Der-Fa; Lin, Zu-Chun; Li, Yun-Ju

2009-02-01

The purpose of the study was to assess the effectiveness of supplementing traditional classroom teaching with Web-based learning design when teaching intramuscular injection nursing skills. Four clusters of nursing students at a junior college in eastern Taiwan were randomly assigned to experimental and control groups. A total of 147 students (80 in the experimental group, 67 in the control group) completed the study. All participants received the same classroom lectures and skill demonstration. The experimental group interacted using a Web-based course and were able to view the content on demand. The students and instructor interacted via a chatroom, the bulletin board, and e-mail. Participants in the experimental group had significantly higher scores on both intramuscular injection knowledge and skill learning. A Web-based design can be an effective supplementing learning tool for teaching nursing knowledge and skills.

Learning and Collective Knowledge Construction With Social Media: A Process-Oriented Perspective

Science.gov (United States)

Kimmerle, Joachim; Moskaliuk, Johannes; Oeberst, Aileen; Cress, Ulrike

2015-01-01

Social media are increasingly being used for educational purposes. The first part of this article briefly reviews literature that reports on educational applications of social media tools. The second part discusses theories that may provide a basis for analyzing the processes that are relevant for individual learning and collective knowledge construction. We argue that a systems-theoretical constructivist approach is appropriate to examine the processes of educational social media use, namely, self-organization, the internalization of information, the externalization of knowledge, and the interplay of externalization and internalization providing the basis of a co-evolution of cognitive and social systems. In the third part we present research findings that illustrate and support this systems-theoretical framework. Concluding, we discuss the implications for educational design and for future research on learning and collective knowledge construction with social media. PMID:26246643

The Impact of Knowledge Management Capability, Organizational Learning, and Supply Chain Management Practices on Organizational Performance

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Ingy Essam Eldin Salama

2017-03-01

Full Text Available The focus of this research is developing and examining a conceptual framework relating resource-based organizational capabilities and inter-organizational practices with organizational performance. Specifically, it investigates the relationship between knowledge management capability, organizational learning, supply chain management practices and organizational performance. Such a study is important as it contributes to the growing body of literature that links organizational capabilities and practices with organizational performance. In addition, it also contributes to empirical knowledge by applying the proposed conceptual framework in the Egyptian context, which is currently under-researched. The research approach adopted in this research includes empirical examination of the hypothesized relationships among research variables applied on 63 factories with more than 100 employees located at New Borg Al-Arab industrial city using self-administrated questionnaires. The findings of this research provide evidence that knowledge management capability has an impact on organizational learning as well as on supply chain management practices. However, none of the research variables; i.e. knowledge management capability, organizational learning and supply chain management practices have an impact on organizational performance. The main conclusion drawn from this study is that knowledge management capability may be useful to managers for predicting organizational learning and coordinating supply chain management practices between supply chain members. In addition, it could be concluded that organizational performance, in the factories under study, is affected by variables other than knowledge management capability, organizational learning and supply chain management practices.

The Effects of a Systematically Designed Online Learning Environment on Preservice Teachers' Professional Knowledge

Science.gov (United States)

Evens, Marie; Larmuseau, Charlotte; Dewaele, Katrien; Van Craesbeek, Leen; Elen, Jan; Depaepe, Fien

2017-01-01

This study examines the effects of an online learning environment on preservice teachers' pedagogical content knowledge (PCK), content knowledge (CK) (related to French in primary teacher education), and pedagogical knowledge (PK) in a quasi-experimental design. More specifically, the following research question is addressed: Is a systematically…

Breaking Boundaries: Quality E-Learning for the Global Knowledge Society

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Lalilta Rajasingham

2009-03-01

Full Text Available The ideas and issues raised in this paper reflect a global challenge to understand the nature of E-learning in a knowledge society so that appropriate quality frameworks can be developed for new educational environments. E-learning and virtual classes evolved from distance education and struggle to gain recognition in mainstream education as legitimate quality higher education providers. The increasing use of information technology advances, particularly the internet present new educational paradigms and models that challenge conventional assumptions and indicators of quality assurance. What is needed is the development of global standards and quality assurance frameworks that can improve pedagogy in diverse cultural, knowledge and delivery paradigms. This paper seeks to explore how quality is defined, who sets whose standards, who will teach what to whom with what effect in a world of competing paradigms and parallel worlds of reality and virtual reality.

Technical Knowledge Creation: Enabling Tacit Knowledge Use

DEFF Research Database (Denmark)

Søberg, Peder Veng; Chaudhuri, Atanu

2018-01-01

The paper investigates knowledge creation in nascent technical industries, a somewhat neglected empirical setting concerning knowledge creation. Frameworks on organizational learning and knowledge creation assume that knowledge creation depends on language creation and neglect the benefits involved...... by allowing elements of new product and process ideas to mature in a tacit form, whereas cognitive neuroscience data suggests that technical knowledge creation is largely nonlinguistic. The four case studies point to excessive reliance on group discussion, a need for more trial and error and that field tests...... and prototypes generate new learnings that save time and lowers subsequent risks. Technical knowledge creation in nascent high tech industries requires opportunities to work with and further develop knowledge in its tacit form. The paper refines frameworks on organizational learning and knowledge creation...

The effect of fifth grade science teachers' pedagogical content knowledge on their decision making and student learning outcomes on the concept of chemical change

Science.gov (United States)

Ogletree, Glenda Lee

This study investigated the science pedagogical content knowledge (PCK) among teachers as they taught the concept of chemical change to fifth grade students. The purpose was to identify teachers' PCK and its impact in middle grade science classrooms. A second purpose was to investigate the possible relationship of teachers' science PCK to teacher actions and student learning outcomes in the classroom. The instruments used to capture PCK were background and demographic information, Content Representations (CoRe), and Professional and Pedagogical experience Repertoire (PaP-eR). The study investigated CoRe and PaP-eR with seven classroom teachers as they planned and taught chemical change to fifth grade students. Four levels of a Pedagogical Content Knowledge rubric were used to describe varying levels of PCK. The four levels were content knowledge of chemical change; knowledge of students' thinking; knowledge of how to represent chemical change to promote student learning; and professional development, collaboration, and leadership roles in science. The Reformed Teaching Observation Protocol (RTOP) described and evaluated science teaching performance levels of the teachers. In this study, 176 students were assessed to determine understanding of chemical change. There was a significant correlation between teachers' PCK scores and student achievement. The study also determined that a significant correlation existed between teachers' PCK scores and their RTOP scores revealing that RTOP scores could be predictors of PCK. Through this approach, understandings of PCK emerged that are of interest to university preservice preparation programs, research in understanding effective teachers and teaching, and the planning and implementation of professional development for teachers of science with middle grade students.

Modelling Digital Knowledge Transfer: Nurse Supervisors Transforming Learning at Point of Care to Advance Nursing Practice

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Carey Mather

2017-05-01

Full Text Available Limited adoption of mobile technology for informal learning and continuing professional development within Australian healthcare environments has been explained primarily as an issue of insufficient digital and ehealth literacy of healthcare professionals. This study explores nurse supervisors’ use of mobile technology for informal learning and continuing professional development both for their own professional practice, and in their role in modelling digital knowledge transfer, by facilitating the learning and teaching of nursing students in the workplace. A convenience sample of 27 nurse supervisors involved with guiding and supporting undergraduate nurses participated in one of six focus groups held in two states of Australia. Expanding knowledge emerged as the key theme of importance to this group of clinicians. Although nurse supervisors regularly browsed Internet sources for learning and teaching purposes, a mixed understanding of the mobile learning activities that could be included as informal learning or part of formal continuing professional development was detected. Participants need educational preparation and access to mobile learning opportunities to improve and maintain their digital and ehealth literacy to appropriately model digital professionalism with students. Implementation of mobile learning at point of care to enable digital knowledge transfer, augment informal learning for students and patients, and support continuing professional development opportunities is necessary. Embedding digital and ehealth literacy within nursing curricula will promote mobile learning as a legitimate nursing function and advance nursing practice.

Knowledge exchange and learning from failures in distributed environments: The role of contractor relationship management and work characteristics

International Nuclear Information System (INIS)

Gressgård, Leif Jarle; Hansen, Kåre

2015-01-01

Learning from failures is vital for improvement of safety performance, reliability, and resilience in organizations. In order for such learning to take place in distributed environments, knowledge has to be shared among organizational members at different locations and units. This paper reports on a study conducted in the context of drilling and well operations on the Norwegian Continental Shelf, which represents a high-risk distributed organizational environment. The study investigates the relationships between organizations' abilities to learn from failures, knowledge exchange within and between organizational units, quality of contractor relationship management, and work characteristics. The results show that knowledge exchange between units is the most important predictor of perceived ability to learn from failures. Contractor relationship management, leadership involvement, role clarity, and empowerment are also important factors for failure-based learning, both directly and through increased knowledge exchange. The results of the study enhance our understanding of how abilities to learn from failures can be improved in distributed environments where similar work processes take place at different locations and involve employees from several companies. Theoretical contributions and practical implications are discussed. - Highlights: • We investigate factors affecting failure-based learning in distributed environments. • Knowledge exchange between units is the most important predictor. • Contractor relationship management is positively related to knowledge exchange. • Leadership involvement, role clarity, and empowerment are significant variables. • Respondents from an operator firm and eight contractors are included in the study

Broken Expectations: Violation of Expectancies, Not Novelty, Captures Auditory Attention

Science.gov (United States)

Vachon, Francois; Hughes, Robert W.; Jones, Dylan M.

2012-01-01

The role of memory in behavioral distraction by auditory attentional capture was investigated: We examined whether capture is a product of the novelty of the capturing event (i.e., the absence of a recent memory for the event) or its violation of learned expectancies on the basis of a memory for an event structure. Attentional capture--indicated…

Machine learning for identifying botnet network traffic

DEFF Research Database (Denmark)

Stevanovic, Matija; Pedersen, Jens Myrup

2013-01-01

. Due to promise of non-invasive and resilient detection, botnet detection based on network traffic analysis has drawn a special attention of the research community. Furthermore, many authors have turned their attention to the use of machine learning algorithms as the mean of inferring botnet......-related knowledge from the monitored traffic. This paper presents a review of contemporary botnet detection methods that use machine learning as a tool of identifying botnet-related traffic. The main goal of the paper is to provide a comprehensive overview on the field by summarizing current scientific efforts....... The contribution of the paper is three-fold. First, the paper provides a detailed insight on the existing detection methods by investigating which bot-related heuristic were assumed by the detection systems and how different machine learning techniques were adapted in order to capture botnet-related knowledge...

Three Generational Issues in Organizational Learning: Knowledge Management, Perspectives on Training and "Low-Stakes" Development

Science.gov (United States)

Sprinkle, Therese A.; Urick, Michael J.

2018-01-01

Purpose: Methods for facilitating learning and knowledge transfer in multigenerational workplaces are of importance to organizations. Yet, intergenerational learning is vastly understudied in academic organizational literature. This conceptual paper aims to recommend future directions for studying intergenerational learning by examining three…

Re-living anatomy: medical student use of lecture capture

OpenAIRE

Diss, L; Sharp, A; Scott, F; Moore, L; Daniel, P; Memon, S; Smith, C

2017-01-01

Lecture capture resources have become common place within UK Higher education to enhance and support learning in addition to the tradition lecture. These resources can be particularly useful for medical students in anatomy teaching where time dedicated to anatomy within the curriculum has been reduced compared to previous generations(1).\\ud \\ud This study aimed to investigate how lecture capture aided student learning Qualitative feedback was also collected in view to further improve the reso...

Editorial: E-learning and Knowledge Management in the Early Years: Where Are We and Where Should We Go

Directory of Open Access Journals (Sweden)

Hui Li

2009-12-01

Full Text Available E-learning and knowledge management are increasingly accepted as established practices in the field of early childhood education. Living in the age of Web 2.0, young children can learn through experience, application, and conversation in community, physically or virtually, with peers, parents, teachers, and other adults, beyond the classroom and across the media. These concepts are of growing interest in communities of practice and knowledge networks. Although most early childhood educators recognize and practice some kinds of e-learning, most have yet to master the basic theory and practice of knowledge management. What does e-learning mean for young children? How do we apply knowledge management in early childhood setting? These questions are of great importance and a special collection such as this issue will be beneficial to take stock of the ongoing practices as well as to explore future directions in the field. This issue will combine knowledge management and e-learning with early childhood education to provide a valuable arena for the discussion and dissemination of this topic and related studies.

Seeking a potential system in managing organizational knowledge flow towards enhancing individual learning and intellectual capital

Directory of Open Access Journals (Sweden)

Intan Soraya Rosdi

2013-12-01

Full Text Available The knowledge-based economy of today heralds an era where the business environment is characterized by complex and ever-changing conditions, driven by rapid technological advancements. With knowledge regarded as the main competitive resource, continuous learning becomes critical to firms as they try to keep up with the latest technology and business practices. Moreover, knowledge resides within individual employees, and the challenge is to ensure that knowledge is acquired, applied, and shared to benefit the firm. The situation becomes more complex when it is established that there exists different human capital in firms at any one time, differentiated based on the types of knowledge they contribute to the firm. Further, scant literature exists on the relationship dynamics between the different human capital groups and their influences on individual learning. This paper aims to propose a potential system to manage interaction between the different human capital groups within firms, and its link to enhancing different types of individual learning and intellectual capital.

Integrating the Use of Interdisciplinary Learning Activity Task in Creating Students' Mathematical Knowledge

Science.gov (United States)

Mahanin, Hajah Umisuzimah Haji; Shahrill, Masitah; Tan, Abby; Mahadi, Mar Aswandi

2017-01-01

This study investigated the use of interdisciplinary learning activity task to construct students' knowledge in Mathematics, specifically on the topic of scale drawing application. The learning activity task involved more than one academic discipline, which is Mathematics, English Language, Art, Geography and integrating the Brunei Darussalam…

Global learning on carbon capture and storage: A call for strong international cooperation on CCS demonstration

International Nuclear Information System (INIS)

Coninck, Heleen de; Stephens, Jennie C.; Metz, Bert

2009-01-01

Closing the gap between carbon dioxide capture and storage (CCS) rhetoric and technical progress is critically important to global climate mitigation efforts. Developing strong international cooperation on CCS demonstration with global coordination, transparency, cost-sharing and communication as guiding principles would facilitate efficient and cost-effective collaborative global learning on CCS, would allow for improved understanding of the global capacity and applicability of CCS, and would strengthen global trust, awareness and public confidence in the technology.

Drawing on indigenous knowledge: Students\\' learning in and from a ...

African Journals Online (AJOL)

Drawing on indigenous knowledge: Students\\' learning in and from a rural community. E Bitzer, H Menkveld. Abstract. No Abstract Available South African Journal of Higher Education Vol.18(3) 2004: 226-240. Full Text: EMAIL FULL TEXT EMAIL FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT.

Learning processes in the professional development of mental health counselors: knowledge restructuring and illness script formation.

Science.gov (United States)

Strasser, Josef; Gruber, Hans

2015-05-01

An important part of learning processes in the professional development of counselors is the integration of declarative knowledge and professional experience. It was investigated in-how-far mental health counselors at different levels of expertise (experts, intermediates, novices) differ in their availability of experience-based knowledge structures. Participants were prompted with 20 client problems. They had to explain those problems, the explanations were analyzed using think-aloud protocols. The results show that experts' knowledge is organized in script-like structures that integrate declarative knowledge and professional experience and help experts in accessing relevant information about cases. Novices revealed less integrated knowledge structures. It is concluded that knowledge restructuring and illness script formation are crucial parts of the professional learning of counselors.

Learning Ecosystem Complexity: A Study on Small-Scale Fishers' Ecological Knowledge Generation

Science.gov (United States)

Garavito-Bermúdez, Diana

2018-01-01

Small-scale fisheries are learning contexts of importance for generating, transferring and updating ecological knowledge of natural environments through everyday work practices. The rich knowledge fishers have of local ecosystems is the result of the intimate relationship fishing communities have had with their natural environments across…

Students' Perceptions of Vocabulary Knowledge and Learning in a Middle School Science Classroom

Science.gov (United States)

Brown, Patrick L.; Concannon, James P.

2016-01-01

This study investigated eighth-grade science students' (13-14-year-olds) perceptions of their vocabulary knowledge, learning, and content achievement. Data sources included pre- and posttest of students' perceptions of vocabulary knowledge, students' perceptions of vocabulary and reading strategies surveys, and a content achievement test.…

Knowledge, Attitude and Faculty Members’ performance on e-Learning in Tehran University of Medical Sciences

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Aeen Mohammadi

2016-11-01

Full Text Available Introduction : E-learning is used in the worldwide in higher education to improve the quality of the learning experience by students; at the same time using this approach requires behavioral changes in the faculty members. One of the steps in the implementation and monitoring of e-learning, is audience analysis using techniques such as knowledge, attitude and practices (KAP. This study investigates the knowledge, attitude and faculty members’ performance of Tehran University of Medical Sciences (TUMS on e-learning. Methods: This descriptive, cross-sectional study was conducted in 2014-15 through a research-made questionnaire. Face validity was determined by expert opinion, Cronbach’s alpha was measured to assess the reliability and its construct validity was investigated through exploratory factor analysis. . The questionnaire was e-mailed to all TUMS faculty members . 218 faculty members responded to the questionnaire. Results: The reliability score of the questionnaire was assessed using Cronbach alphs, and it was 0.79. Exploratory factor analysis of the attitude part of the questionnaire produced a single factor that explained 53% of the variance. The results showed the positive attitude of faculty members regarding e-learning, although their knowledge and practice scores was less than half of the total score. There wass not found any meaningful differences between knowledge, attitude and performance of the participants based on sex, rank and work experience. ANOVA test showed that the difference of scores among schools was statistically significant (  = 0.000;  = 0.003 and  = 0.000, respectively. Conclusion: The findings of this study showed the state of knowledge, attitude and faculty members’ performance of TUMS on e-learning. Over the past years, TUMS has established suitable e-learning infrastructure such as educational websites and virtual programs as well as training workshop for faculty members. The results of this study can

Dress Nicer = Know More? Young Children's Knowledge Attribution and Selective Learning Based on How Others Dress.

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Kyla P McDonald

Full Text Available This research explored whether children judge the knowledge state of others and selectively learn novel information from them based on how they dress. The results indicated that 4- and 6-year-olds identified a formally dressed individual as more knowledgeable about new things in general than a casually dressed one (Study 1. Moreover, children displayed an overall preference to seek help from a formally dressed individual rather than a casually dressed one when learning about novel objects and animals (Study 2. These findings are discussed in relation to the halo effect, and may have important implications for child educators regarding how instructor dress might influence young students' knowledge attribution and learning preferences.

Deep Transfer Metric Learning.

Science.gov (United States)

Junlin Hu; Jiwen Lu; Yap-Peng Tan; Jie Zhou

2016-12-01

Conventional metric learning methods usually assume that the training and test samples are captured in similar scenarios so that their distributions are assumed to be the same. This assumption does not hold in many real visual recognition applications, especially when samples are captured across different data sets. In this paper, we propose a new deep transfer metric learning (DTML) method to learn a set of hierarchical nonlinear transformations for cross-domain visual recognition by transferring discriminative knowledge from the labeled source domain to the unlabeled target domain. Specifically, our DTML learns a deep metric network by maximizing the inter-class variations and minimizing the intra-class variations, and minimizing the distribution divergence between the source domain and the target domain at the top layer of the network. To better exploit the discriminative information from the source domain, we further develop a deeply supervised transfer metric learning (DSTML) method by including an additional objective on DTML, where the output of both the hidden layers and the top layer are optimized jointly. To preserve the local manifold of input data points in the metric space, we present two new methods, DTML with autoencoder regularization and DSTML with autoencoder regularization. Experimental results on face verification, person re-identification, and handwritten digit recognition validate the effectiveness of the proposed methods.

Students’ Use of Knowledge Resources in Environmental Interaction on an Outdoor Learning Trail

NARCIS (Netherlands)

Tan, Esther; So, Hyo-Jeong

2016-01-01

This study examined how students leveraged different types of knowledge resources on an outdoor learning trail. We positioned the learning trail as an integral part of the curriculum with a pre- and post-trail phase to scaffold and to support students’ meaning-making process. The study was conducted

Cross-Cultural Learning and Knowledge Transfer between Wetern and African Firms

DEFF Research Database (Denmark)

Kuada, John

2006-01-01

: (1) cultural sensitivity, (2) transfer and learning capacity of partners, and (3) the strategic importance and uniqueness of the relationships. The evidence also highlights the importance of inter-cultural communication skills in the knowledge transfer process...

An XML Based Knowledge Management System for e-Collaboration and e-Learning

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Varun Gopalakrishna

2004-02-01

Full Text Available This paper presents the development, key features, and the implementation principles of a sustainable and scaleable knowledge management system (KMS prototype for creating, capturing, organizing, and managing digital information in the form of Extensible Markup Language (XML documents and other popular file formats. It is aimed to provide a platform for global, instant, and secure access to and dissemination of information within a knowledge-intensive organization or a cluster of organizations through Internet or intranet. A three-tier system architecture was chosen for the KMS to provide performance and scalability while enabling future development that supports global, secure, real-time, and multi-media communication of information and knowledge among team members separated by great distance. An XML Content Server has been employed in this work to store, index, and retrieve large volumes of XML and binary content.

Knowledge preservation of Atucha type reactor: Practical approaches and lessons learned

International Nuclear Information System (INIS)

Eppenstein, M.; Vetere, C.

2004-01-01

As Siemens, designer of the Atucha type HWRs, has transferred its nuclear activities to Framatome ANP, Argentina must undertake the knowledge preservation of this type of reactor, both if life extension is decided for the operating Atucha I NPP, and/or if ending the construction of Atucha II is decided. Another reason for undertaking a knowledge preservation program is aging and increasing retirement of personnel in the nuclear field, and the small number of young people in nuclear related disciplines at the universities. This situation motivated CNEA to implement a Knowledge Management system (KM), in order to capture and capitalize the tacit and explicit knowledge, to spread it and share it, making use of the technical and suitable tools through the organization. The strategy was based on recognizing the critical knowledge by means of a methodology incorporating the critical knowledge map technique. This map is a tool that uses the cognitive surfing in order to access to the organization heritage knowledge. Different techniques and methodologies are applied for identifying the critical knowledge domains. The result is a vigorous graphical tool with a certain formalism, able to describe knowledge in a hierarchical way in order to preserve it. It is used to analyze the criticality, and as an access portal to the knowledge patrimony, pointing out, according to each knowledge area, the people skills, publications, related documents and others. Experience obtained through the KM system development shows how training techniques are put into practice, in order not to interfere with normal plant operation, and how to initiate the KM processes in order to improve the criticity. (author)

An Integrative Model of Organizational Learning and Social Capital on Effective Knowledge Transfer and Perceived Organizational Performance

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Rhodes, Jo; Lok, Peter; Hung, Richard Yu-Yuan; Fang, Shih-Chieh

2008-01-01

Purpose: The purpose of this paper is to set out to examine the relationships of organizational learning, social capital and the effectiveness of knowledge transfer and perceived organisational performance. Integrating organizational learning capability with social capital networks to shape a holistic knowledge sharing and management enterprise…

Beyond Learning Management Systems: Designing for Interprofessional Knowledge Building in the Health Sciences

Science.gov (United States)

Lax, Leila; Scardamalia, Marlene; Watt-Watson, Judy; Hunter, Judith; Bereiter, Carl

2010-01-01

This paper examines theoretical, pedagogical, and technological differences between two technologies that have been used in undergraduate interprofessional health sciences at the University of Toronto. One, a learning management system, WebCT 2.0, supports online coursework. The other, a Knowledge Building environment, Knowledge Forum 2.0,…

Evaluating the E-Learning Platform from the Perspective of Knowledge Management: The AHP Approach

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I-Chin Wu

2013-06-01

Full Text Available A growing number of higher education institutions have adopted asynchronous and synchronous Web-based learning platforms to improve students’ learning efficiency and increase learning satisfaction in the past decade. Unlike traditional face-to-face learning methods, e-learning platforms allow teachers to communicate with students and discuss course content anytime or anywhere. In addition, the teaching material can be reused via the e-learning platforms. To understand how students use e-learning platforms and what the implications are, we conducted an empirical study of the iCAN e-learning platform, which has been widely used in Fu-Jen Catholic University since 2005. We use the Analytic Hierarchy Process (AHP, a well-known multi-criteria evaluation approach, to compare five practices, i.e. the functions of the iCAN teaching platform. We adopted a brainstorming approach to design a questionnaire to measure learners’ perception of the e-learning platform based on the theory of knowledge transforming process in knowledge management. Accordingly, the model considers functioning and objectivity in terms of the following three attributes of learning effectiveness: individual learning, group sharing and learning performance. Twelve criteria with twelve evaluation items were used to investigate the effectiveness of the five practices. We also evaluated the strengths and weaknesses of the functions based on the types of courses in the iCan platform. We expect that the empirical evaluation results will provide teachers with suggestions and guidelines for using the e-learning platform effectively to facilitate their teaching activities and promote students’ learning efficiency and satisfaction.

eLearning, knowledge brokering, and nursing: strengthening collaborative practice in long-term care.

Science.gov (United States)

Halabisky, Brenda; Humbert, Jennie; Stodel, Emma J; MacDonald, Colla J; Chambers, Larry W; Doucette, Suzanne; Dalziel, William B; Conklin, James

2010-01-01

Interprofessional collaboration is vital to the delivery of quality care in long-term care settings; however, caregivers in long-term care face barriers to participating in training programs to improve collaborative practices. Consequently, eLearning can be used to create an environment that combines convenient, individual learning with collaborative experiential learning. Findings of this study revealed that learners enjoyed the flexibility of the Working Together learning resource. They acquired new knowledge and skills that they were able to use in their practice setting to achieve higher levels of collaborative practice. Nurses were identified as team leaders because of their pivotal role in the long-term care home and collaboration with all patient care providers. Nurses are ideal as knowledge brokers for the collaborative practice team. Quantitative findings showed no change in learner's attitudes regarding collaborative practice; however, interviews provided examples of positive changes experienced. Face-to-face collaboration was found to be a challenge, and changes to organizations, systems, and technology need to be made to facilitate this process. The Working Together learning resource is an important first step toward strengthening collaboration in long-term care, and the pilot implementation provides insights that further our understanding of both interprofessional collaboration and effective eLearning.

Knowledge sharing and organizational learning in the context of hospital infection prevention.

Science.gov (United States)

Rangachari, Pavani

2010-01-01

Recently, hospitals that have been successful in preventing infections have labeled their improvement approaches as either the Toyota Production System (TPS) approach or the Positive Deviance (PD) approach. PD has been distinguished from TPS as being a bottom-up approach to improvement, as against top-down. Facilities that have employed both approaches have suggested that PD may be more effective than TPS for infection prevention. This article integrates organizational learning, institutional, and knowledge network theories to develop a theoretical framework for understanding the structure and evolution of effective knowledge-sharing networks in health care organizations, that is, networks most conducive to learning and improvement. Contrary to arguments put forth by hospital success stories, the framework suggests that networks rich in brokerage and hierarchy (ie, top-down, "TPS-like" structures) may be more effective for learning and improvement in health care organizations, compared with a networks rich in density (ie, bottom-up, "PD-like" structures). The theoretical framework and ensuing analysis help identify several gaps in the literature related to organization learning and improvement in the infection prevention context. This, in turn, helps put forth recommendations for health management research and practice.

Machine Learning Methods for Knowledge Discovery in Medical Data on Atherosclerosis

Czech Academy of Sciences Publication Activity Database

Serrano, J.I.; Tomečková, Marie; Zvárová, Jana

2006-01-01

Roč. 1, - (2006), s. 6-33 ISSN 1801-5603 Institutional research plan: CEZ:AV0Z10300504 Keywords : knowledge discovery * supervised machine learning * biomedical data mining * risk factors of atherosclerosis Subject RIV: BB - Applied Statistics, Operational Research

The role of emotion in the learning and transfer of clinical skills and knowledge.

Science.gov (United States)

McConnell, Meghan M; Eva, Kevin W

2012-10-01

Medical school and residency are emotional experiences for trainees. Most research examining emotion in medicine has focused on negative moods associated with physician burnout and poor quality of life. However, positive emotional states also may have important influences on student learning and performance. The authors present a review of the literature on the influence of emotion on cognition, specifically how individuals learn complex skills and knowledge and how they transfer that information to new scenarios. From September 2011 to February 2012, the authors searched Medline, PsycInfo, GoogleScholar, ERIC, and Web of Science, as well as the reference lists of relevant articles, for research on the interaction between emotion, learning, and knowledge transfer. They extracted representative themes and noted particularly relevant empirical findings. The authors found articles that show that emotion influences various cognitive processes that are involved in the acquisition and transfer of knowledge and skills. More specifically, emotion influences how individuals identify and perceive information, how they interpret it, and how they act on the information available in learning and practice situations. There are many ways in which emotions may influence medical education. Researchers must further explore the implications of these findings to ensure that learning is not treated simply as a rational, mechanistic process but that trainees are effectively prepared to perform under a wide range of emotional conditions.

Virk: An Active Learning-based System for Bootstrapping Knowledge Base Development in the Neurosciences

Directory of Open Access Journals (Sweden)

Kyle H. Ambert

2013-12-01

Full Text Available The frequency and volume of newly-published scientific literature is quickly making manual maintenance of publicly-available databases of primary data unrealistic and costly. Although machine learning can be useful for developing automated approaches to identifying scientific publications containing relevant information for a database, developing such tools necessitates manually annotating an unrealistic number of documents. One approach to this problem, active learning, builds classification models by iteratively identifying documents that provide the most information to a classifier. Although this approach has been shown to be effective for related problems, in the context of scientific databases curation, it falls short. We present Virk, an active learning system that, while being trained, simultaneously learns a classification model and identifies documents having information of interest for a knowledge base. Our approach uses a support vector machine classifier with input features derived from neuroscience-related publications from the primary literature. Using our approach, we were able to increase the size of the Neuron Registry, a knowledge base of neuron-related information, by a factor of 90%, a knowledge base of neuron-related information, in 3 months. Using standard biocuration methods, it would have taken between 1-2 years to make the same number of contributions to the Neuron Registry. Here, we describe the system pipeline in detail, and evaluate its performance against other approaches to sampling in active learning.

Theory of mind selectively predicts preschoolers' knowledge-based selective word learning.

Science.gov (United States)

Brosseau-Liard, Patricia; Penney, Danielle; Poulin-Dubois, Diane

2015-11-01

Children can selectively attend to various attributes of a model, such as past accuracy or physical strength, to guide their social learning. There is a debate regarding whether a relation exists between theory-of-mind skills and selective learning. We hypothesized that high performance on theory-of-mind tasks would predict preference for learning new words from accurate informants (an epistemic attribute), but not from physically strong informants (a non-epistemic attribute). Three- and 4-year-olds (N = 65) completed two selective learning tasks, and their theory-of-mind abilities were assessed. As expected, performance on a theory-of-mind battery predicted children's preference to learn from more accurate informants but not from physically stronger informants. Results thus suggest that preschoolers with more advanced theory of mind have a better understanding of knowledge and apply that understanding to guide their selection of informants. This work has important implications for research on children's developing social cognition and early learning. © 2015 The British Psychological Society.

Theory of mind selectively predicts preschoolers’ knowledge-based selective word learning

Science.gov (United States)

Brosseau-Liard, Patricia; Penney, Danielle; Poulin-Dubois, Diane

2015-01-01

Children can selectively attend to various attributes of a model, such as past accuracy or physical strength, to guide their social learning. There is a debate regarding whether a relation exists between theory-of-mind skills and selective learning. We hypothesized that high performance on theory-of-mind tasks would predict preference for learning new words from accurate informants (an epistemic attribute), but not from physically strong informants (a non-epistemic attribute). Three- and 4-year-olds (N = 65) completed two selective learning tasks, and their theory of mind abilities were assessed. As expected, performance on a theory-of-mind battery predicted children’s preference to learn from more accurate informants but not from physically stronger informants. Results thus suggest that preschoolers with more advanced theory of mind have a better understanding of knowledge and apply that understanding to guide their selection of informants. This work has important implications for research on children’s developing social cognition and early learning. PMID:26211504

Knowledge bases, clinical decision support systems, and rapid learning in oncology.

Science.gov (United States)

Yu, Peter Paul

2015-03-01

One of the most important benefits of health information technology is to assist the cognitive process of the human mind in the face of vast amounts of health data, limited time for decision making, and the complexity of the patient with cancer. Clinical decision support tools are frequently cited as a technologic solution to this problem, but to date useful clinical decision support systems (CDSS) have been limited in utility and implementation. This article describes three unique sources of health data that underlie fundamentally different types of knowledge bases which feed into CDSS. CDSS themselves comprise a variety of models which are discussed. The relationship of knowledge bases and CDSS to rapid learning health systems design is critical as CDSS are essential drivers of rapid learning in clinical care. Copyright © 2015 by American Society of Clinical Oncology.

Knitted Patterns or Contagious Hotspots?: Linking Views on Knowledge and Organizational Networked Learning

Science.gov (United States)

Cornelissen, Frank; de Jong, Tjip; Kessels, Joseph

2012-01-01

Purpose: This paper aims to propose a framework which connects perspectives on knowledge and learning to various approaches of social networks studies. The purpose is twofold: providing input for the discourse in organizational studies about the way different views on knowledge and networks drive design choices and activities of researchers,…

Service-Learning Enriches Advertising Knowledge, Builds Students' Portfolios, and Promotes Community Engagement after Graduation

Science.gov (United States)

Tucciarone, Krista

2012-01-01

This study investigated the influence of a service-learning component in an advertising course, specifically examining its ability to enrich advertising knowledge, build students' portfolios, and influence students' community engagement after graduation. The research revealed that service-learning positively affects students' understanding of…

On knowledge transfer management as a learning process for ad hoc teams

Science.gov (United States)

Iliescu, D.

2017-08-01

Knowledge management represents an emerging domain becoming more and more important. Concepts like knowledge codification and personalisation, knowledge life-cycle, social and technological dimensions, knowledge transfer and learning management are integral parts. Focus goes here in the process of knowledge transfer for the case of ad hoc teams. The social dimension of knowledge transfer plays an important role. No single individual actors involved in the process, but a collective one, representing the organisation. It is critically important for knowledge to be managed from the life-cycle point of view. A complex communication network needs to be in place to supports the process of knowledge transfer. Two particular concepts, the bridge tie and transactive memory, would eventually enhance the communication. The paper focuses on an informational communication platform supporting the collaborative work on knowledge transfer. The platform facilitates the creation of a topic language to be used in knowledge modelling, storage and reuse, by the ad hoc teams.

ICT enabled education and ICT driven e-learning strategies ...

African Journals Online (AJOL)

This paper centres on ICT enabled education and ICT driven e-learning strategies: benefits and setbacks in Nigeria education system. It is in fact among the academic struggle to bring to the lime-light, the knowledge of ICT to scholars especially in the domain of education. The paper captured interesting discussion on the ...

Mobile learning for teacher professional learning: benefits, obstacles and issues

OpenAIRE

Aubusson, Peter; Schuck, Sandy; Burden, Kevin

2009-01-01

This paper reflects on the role of mobile learning in teachers’ professional learning. It argues that effective professional learning requires reflection and collaboration and that mobile learning is ideally suited to allow reflection-inaction and to capture the spontaneity of learning moments. The paper also argues for the value of collaborations between teachers and students in professional learning. It suggests that authentic artefacts and anecdotes, captured through mobile technologies, c...

First Calorimetric Measurement of OI-line in the Electron Capture Spectrum of $^{163}$Ho

CERN Document Server

Ranitzsch, P. C. -O.; Wegner, M.; Kempf, S.; Fleischmann, A.; Enss, C.; Gastaldo, L.; Herlert, A.; Johnston, K.

2014-01-01

The isotope $^{163}$Ho undergoes an electron capture process with a recommended value for the energy available to the decay, $Q_{\\rm EC}$, of about 2.5 keV. According to the present knowledge, this is the lowest $Q_{\\rm EC}$ value for electron capture processes. Because of that, $^{163}$Ho is the best candidate to perform experiments to investigate the value of the electron neutrino mass based on the analysis of the calorimetrically measured spectrum. We present for the first time the calorimetric measurement of the atomic de-excitation of the $^{163}$Dy daughter atom upon the capture of an electron from the 5s shell in $^{163}$Ho, OI-line. The measured peak energy is 48 eV. This measurement was performed using low temperature metallic magnetic calorimeters with the $^{163}$Ho ion implanted in the absorber. We demonstrate that the calorimetric spectrum of $^{163}$Ho can be measured with high precision and that the parameters describing the spectrum can be learned from the analysis of the data. Finally, we dis...

Effects of Improving Primary Health Care Workers’ Knowledge About Public Health Services in Rural China: A Comparative Study of Blended Learning and Pure E-Learning

Science.gov (United States)

Zhan, Xingxin; Zhang, Zhixia; Sun, Fang; Liu, Qian; Peng, Weijun; Zhang, Heng

2017-01-01

Background Primary health care workers (PHCWs) are a major force in delivering basic public health services (BPHS) in rural China. It is necessary to take effective training approaches to improve PHCWs’ competency on BPHS. Both electronic learning (e-learning) and blended learning have been widely used in the health workers’ education. However, there is limited evidence on the effects of blended learning in comparison with pure e-learning. Objective The aim of this study was to evaluate the effects of a blended-learning approach for rural PHCWs in improving their knowledge about BPHS as well as training satisfaction in comparison with a pure e-learning approach. Methods The study was conducted among PHCWs in 6 rural counties of Hubei Province, China, between August 2013 and April 2014. Three counties were randomly allocated blended-learning courses (29 township centers or 612 PHCWs—the experimental group), and three counties were allocated pure e-learning courses (31 township centers or 625 PHCWs—the control group). Three course modules were administered for 5 weeks, with assessments at baseline and postcourse. Primary outcomes were score changes in courses’ knowledge. Secondary outcome was participant satisfaction (5-point Likert scale anchored between 1 [strongly agree] and 5 [strongly disagree]). Results The experimental group had higher mean scores than the control group in knowledge achievement in three course modules: (1) module 1: 93.21 (95% CI 92.49-93.93) in experimental group versus 88.29 (95% CI 87.19-89.40) in the control group; adjusted difference, 4.92 (95% CI 2.61-7.24; Plearning group gave more positive responses with the four issues than control group participants: (1) the increase of interest in learning, 1.85 (95% CI 1.22-2.80; P=.003); (2) the increase of interaction with others, 1.77 (95% CI 1.20-2.60; P=.004); (3) the satisfaction with learning experience, 1.78 (95% CI 1.11-2.88; P=.02); and (4) achievement of learning objectives, 1

Integrated learning: Ways of fostering the applicability of teachers’ pedagogical and psychological knowledge

Directory of Open Access Journals (Sweden)

Nora eHarr

2015-06-01

Full Text Available In teacher education, general pedagogical and psychological knowledge is often taught separately from the teaching subject itself, potentially leading to inert knowledge. In an experimental study with 69 mathematics student teachers, we tested the benefits of fostering the integration of pedagogical content knowledge and general pedagogical and psychological knowledge with respect to knowledge application. Integration was fostered either by integrating the contents or by prompting the learners to integrate separately-taught knowledge. Fostering integration, as compared to a separate presentation without integration help, led to more applicable pedagogical and psychological knowledge and greater simultaneous application of pedagogical and psychological knowledge and pedagogical content knowledge. The advantages of fostering knowledge integration were not moderated by the student teachers’ prior knowledge or working memory capacity. A disadvantage of integrating different knowledge types referred to increased learning times.

Sequential Design of Experiments to Maximize Learning from Carbon Capture Pilot Plant Testing

Energy Technology Data Exchange (ETDEWEB)

Soepyan, Frits B.; Morgan, Joshua C.; Omell, Benjamin P.; Zamarripa-Perez, Miguel A.; Matuszewski, Michael S.; Miller, David C.

2018-02-06

Pilot plant test campaigns can be expensive and time-consuming. Therefore, it is of interest to maximize the amount of learning and the efficiency of the test campaign given the limited number of experiments that can be conducted. This work investigates the use of sequential design of experiments (SDOE) to overcome these challenges by demonstrating its usefulness for a recent solvent-based CO2 capture plant test campaign. Unlike traditional design of experiments methods, SDOE regularly uses information from ongoing experiments to determine the optimum locations in the design space for subsequent runs within the same experiment. However, there are challenges that need to be addressed, including reducing the high computational burden to efficiently update the model, and the need to incorporate the methodology into a computational tool. We address these challenges by applying SDOE in combination with a software tool, the Framework for Optimization, Quantification of Uncertainty and Surrogates (FOQUS) (Miller et al., 2014a, 2016, 2017). The results of applying SDOE on a pilot plant test campaign for CO2 capture suggests that relative to traditional design of experiments methods, SDOE can more effectively reduce the uncertainty of the model, thus decreasing technical risk. Future work includes integrating SDOE into FOQUS and using SDOE to support additional large-scale pilot plant test campaigns.

The Relationship between Vocabulary Learning Strategies and Breadth and Depth of Vocabulary Knowledge

Science.gov (United States)

Zhang, Xian; Lu, Xiaofei

2015-01-01

This study investigated the relationship between vocabulary learning strategies and vocabulary breadth and depth knowledge. One hundred and fifty first-year university students in China took the Vocabulary Levels Test, a meaning recall task, and the Depth of Vocabulary Knowledge Test. The first two tests were used to elicit two types of vocabulary…

The Difference Engine: Computing, Knowledge, and the Transformation of Learning

Science.gov (United States)

Provenzo, Eugene F.

2011-01-01

Since the 1960s, the rapid evolution of technology has created a new cultural geography--a virtual geography. "The Difference Engine: Computing, Knowledge and the Transformation of Learning" offers a conscious critique of this change and its effects on contemporary culture and education. This engaging text assumes that we are at a critical…

Social Learning and Knowledge Management - A Journey through the Australian Defence Organisation: The Final Report of the Enterprise Social Learning Architectures Task

National Research Council Canada - National Science Library

Warne, Leoni

2003-01-01

...) are reported on in this document. Social learning is defined as learning occurring within or by a group, an organization, or any cultural cluster and includes the procedures by which knowledge and practice are transmitted across...

Knowledge Management in the IAEA Department of Safeguards

International Nuclear Information System (INIS)

Konecni, S.; Carrillo de Fischer, J.

2016-01-01

Full text: Knowledge Management (KM) is an integral part of the Departmental Quality Management System because knowledge (i.e., the ‘know-how’, ‘know-when’, ‘know-who’, ‘know-why’, etc.) is needed to produce high quality products and services on a daily basis. The ability to continue providing such products and services is challenged each time an experienced staff member leaves the IAEA due to retirement or end of contract and takes with them important job-related knowledge. The most important assets in the International Atomic Energy Agency (IAEA) Department of Safeguards (SG) are people and their knowledge. The Department of Safeguards developed a knowledge management (KM) framework and the corresponding approaches as well as specific guidelines for its implementation. Knowledge retention (KR) is part of knowledge management and focusses on eliminating the risk of losing the critical job-related knowledge by putting in place a systematic knowledge retention plan. Particularly, for knowledge retention, the Safeguards Division of Concepts and Planning (SGCP) developed a model to draw out and capture the critical knowledge and making it available for use by others. This paper describes the knowledge retention model/approach and lessons learned from implementing the knowledge management programme in SG. (author

Application of whole slide image markup and annotation for pathologist knowledge capture.

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Campbell, Walter S; Foster, Kirk W; Hinrichs, Steven H

2013-01-01

The ability to transfer image markup and annotation data from one scanned image of a slide to a newly acquired image of the same slide within a single vendor platform was investigated. The goal was to study the ability to use image markup and annotation data files as a mechanism to capture and retain pathologist knowledge without retaining the entire whole slide image (WSI) file. Accepted mathematical principles were investigated as a method to overcome variations in scans of the same glass slide and to accurately associate image markup and annotation data across different WSI of the same glass slide. Trilateration was used to link fixed points within the image and slide to the placement of markups and annotations of the image in a metadata file. Variation in markup and annotation placement between WSI of the same glass slide was reduced from over 80 μ to less than 4 μ in the x-axis and from 17 μ to 6 μ in the y-axis (P < 0.025). This methodology allows for the creation of a highly reproducible image library of histopathology images and interpretations for educational and research use.

The role of service-learning in college students' environmental literacy: Content knowledge, attitudes, and behaviors

Science.gov (United States)

Singletary, Joanna Lynn Bush

This study evaluated the relationship of environmental service-learning on environmental literacy in undergraduates. The subjects were 36 undergraduates at a small liberal arts university enrolled in an environmental biology course. To determine the role of environmental service-learning on college students' environmental knowledge, attitudes, behaviors, and environmental literacy, this study utilized concurrent mixed methods approach for qualitative and quantitative analysis. A quasi-experimental repeated measures approach was the design of the quantitative component of the study. Data were collected on attitude, behavior, and content knowledge aspects of environmental literacy as measured by the Environmental Literacy Survey (Kibert, 2000). Hypotheses were tested by independent samples ttests and repeated measures ANOVA. Repeated measures ANOVA conducted on participants' three subscales scores for the Environmental Literacy Survey (attitude, behavior, and knowledge) indicated that students who participated in environmental service-learning scored statistically significantly higher than those that did not initially participate in service-learning. Qualitative data collected in the form of journal reflections and portfolios were evaluated for themes of environmental attitudes or affective statements, environmentally positive behaviors and skills, and ecological content. Quantitative and qualitative data support the positive role of environmental service-learning in the development of environmental literacy in undergraduate students.

Case Study of Lessons Learned from the Operation of the Fast Flux Test Facility

International Nuclear Information System (INIS)

Wootan, D.; Omberg, R.; Grandy, C.

2016-01-01

Full text: The lessons learned approach being followed at the Fast Flux Test Facility is to have domain experts in each subject area develop a short write-up or report on each lesson learned. Each lesson learned write-up is on the order of 4–6 pages. Longer reports can be developed as needed. Each lessons learned summary discusses the problem and the resolution method employed to address the problem, and also tries to capture the essential “tacit knowledge” associated with each topic in a focused manner. All lessons learned write-ups are supported by more detailed documents. For example, references of more detailed reports are generally included, where available. Topics are selected as those most likely to apply to future design or operating problems. This lessons learned approach has been successful in capturing essential tacit knowledge about key events in FFTF history and providing a context for interpreting the existing data and references. (author

The Effects of Enhancing Prospective EFL Teachers' Knowledge Management Strategies in Virtual Learning Environments on Their Ideational Flexibility and Engagement

Directory of Open Access Journals (Sweden)

Ammar Abdullah Mahmoud Ismail

2017-01-01

Full Text Available The last few years have witnessed an increased interest in moving away from traditional language instruction settings towards more hybrid and virtual learning environments. Face-to-face interaction, guided practice, and uniformity of knowledge sources and skills are all replaced by settings where multiplicity of views from different learning communities, interconnectedness, self-directedness, and self-management of knowledge and learning are increasingly emphasized. This shift from walled-classroom instruction with its limited scope and resources to hybrid and virtual learning environments with their limitless provisions requires that learners be equipped with requisite skills and strategies to manage knowledge and handle language learning in ways commensurate with the nature and limitless possibilities of these new environments. The current study aimed at enhancing knowledge management strategies of EFL teachers in virtual learning environments and examine the impact on their ideational flexibility and engagement in language learning settings. A knowledge management model was proposed and field-test on a cohort of prospective EFL teachers in the Emirati context. Participants were prospective EFL teachers enrolled in the Methods of Teaching Courses and doing their practicum in the Emirati EFL context. Participants' ideational flexibility was tapped via a bi-methodical approach including a contextualized task and a decontextualized one. Their engagement in virtual language learning settings was tapped via an engagement scale. Results of the study indicated that enhancing prospective EFL teachers' knowledge management strategies in virtual learning environments had a significant impact on their ideational flexibility and engagement in foreign language learning settings. Details of the instructional intervention, instruments for tapping students’ ideational flexibility and engagement, and results of the study are discussed. Implications for

Ecological knowledge and incidental capture of sea turtles in São João de Pirabas, Pará, Brazil

Directory of Open Access Journals (Sweden)

Tiago Pereira Brito

2015-09-01

Full Text Available This study aimed to register the ecological knowledge of fishermen from the municipality of São João de Pirabas, Pará, Brazil, regarding the occurrence of sea turtles on the Pará state coast, as well as measure their incidental capture when fishing; to do this, 50 semi-structured interviews were conducted with local fishermen. Fishing was practiced mostly by adult men, who used 7 fishing arts (gillnetting, hook and line, longline, fish corrals, net of tide canals, casting net, and basket trap, mainly aimed at catching king mackerel (Scomberomorus cavalla, serra Spanish mackerel (S. brasiliensis, king weakfish (Macrodon ancylodon, weakfish (Cynoscion spp., hake (Cynoscion spp., catfish (Bagre bagre, and mullet (Mugil spp.. Fishermen observed in the region 5 turtle species, with a more frequent occurrence of Chelonia mydas (100%, Dermochelys coriacea (66%, and Eretmochelys imbricata (46%; the less frequent species are Caretta caretta (16% and Lepidochelys olivacea (8%. The spawning areas of the 3 most common species demonstrate the significance of the Pará state coast for their conservation. Incidental capture was reported by 76% of fishermen, mainly occurring in net, longlines, and fish corrals. Usually, captured animals were released, although there is consumption of sea turtle meat and eggs by fishermen.

Concept maps: A tool for knowledge management and synthesis in web-based conversational learning.

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Joshi, Ankur; Singh, Satendra; Jaswal, Shivani; Badyal, Dinesh Kumar; Singh, Tejinder

2016-01-01

Web-based conversational learning provides an opportunity for shared knowledge base creation through collaboration and collective wisdom extraction. Usually, the amount of generated information in such forums is very huge, multidimensional (in alignment with the desirable preconditions for constructivist knowledge creation), and sometimes, the nature of expected new information may not be anticipated in advance. Thus, concept maps (crafted from constructed data) as "process summary" tools may be a solution to improve critical thinking and learning by making connections between the facts or knowledge shared by the participants during online discussion This exploratory paper begins with the description of this innovation tried on a web-based interacting platform (email list management software), FAIMER-Listserv, and generated qualitative evidence through peer-feedback. This process description is further supported by a theoretical construct which shows how social constructivism (inclusive of autonomy and complexity) affects the conversational learning. The paper rationalizes the use of concept map as mid-summary tool for extracting information and further sense making out of this apparent intricacy.

Dress Nicer = Know More? Young Children’s Knowledge Attribution and Selective Learning Based on How Others Dress

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McDonald, Kyla P.; Ma, Lili

2015-01-01

This research explored whether children judge the knowledge state of others and selectively learn novel information from them based on how they dress. The results indicated that 4- and 6-year-olds identified a formally dressed individual as more knowledgeable about new things in general than a casually dressed one (Study 1). Moreover, children displayed an overall preference to seek help from a formally dressed individual rather than a casually dressed one when learning about novel objects and animals (Study 2). These findings are discussed in relation to the halo effect, and may have important implications for child educators regarding how instructor dress might influence young students’ knowledge attribution and learning preferences. PMID:26636980