Toward Technology Integration in Mathematics Education: A Technology-Integration Course Planning Assignment

ERIC Educational Resources Information Center

Kersaint, Gladis

2007-01-01

This article describes a technology integration course planning assignment that was developed to enhance preservice teachers' technological pedagogical content knowledge (TPCK). This assignment required preservice teachers work with peers to integrate various technological tools (e.g., graphing calculators, web-based mathematics applets, etc) in a…

Teachers' Attitudes toward Technology: Considerations for Designing Preservice and Practicing Teacher Instruction

ERIC Educational Resources Information Center

Banas, Jennifer R.

2010-01-01

To best design technological pedagogical content knowledge (TPCK) related instruction for preservice teachers or for practicing teachers, community college librarians must have an accurate assessment of their audience's attitudes towards technology. A summary, analysis, and excerpts from 225 student responses to a course reflection regarding…

Traditional vs. Innovative Uses of Computers among Mathematics Pre-Service Teachers in Serbia

ERIC Educational Resources Information Center

Teo, Timothy; Milutinovic, Verica; Zhou, Mingming; Bankovic, Dragic

2017-01-01

This study examined pre-service teachers' intentions to use computers in traditional and innovative teaching practices in primary mathematics classrooms. It extended the technology acceptance model (TAM) by adding as external variables pre-service teachers' experience with computers and their technological pedagogical content knowledge (TPCK).…

Designing and Evaluating a Professional Development Programme for Basic Technology Integration in English as a Foreign Language (EFL) Classrooms

ERIC Educational Resources Information Center

Ansyari, Muhammad Fauzan

2015-01-01

This study aims to develop and evaluate a professional development programme for technology integration in an Indonesian university's English language teaching setting. The study explored the characteristics of this programme to English lecturers' technological pedagogical content knowledge (TPCK) development. This design-based research employed…

The Development of TPACK, Technology Integrated Self-Efficacy and Instructional Technology Outcome Expectations of Pre-Service Physical Education Teachers

ERIC Educational Resources Information Center

Cengiz, Cevdet

2015-01-01

The purpose of this intervention has been to improve pre-service physical education teachers' Technological Pedagogical Content Knowledge (TPCK or TPACK), Technology Integrated Self-Efficacy (TISE), and Instructional Technology Outcome Expectations (ITOE). A pre-/post-test design without a control group was used in the study. Participants were…

Turkish Jewelry Technology Pre-Service Teachers' TPCK Integration through Ob-Video Materials: A Pedagogical Action Research

ERIC Educational Resources Information Center

Akay, Cenk

2017-01-01

The utilization of educational technologies in class applications and their reflections on the education have not reached to desired levels today; in other words, there are problems in the integration of technology into teaching and using technology in conjunction with the knowledge of subject field and pedagogy. The aim of this research is to…

Science Teacher Efficacy and Extrinsic Factors Toward Professional Development Using Video Games in a Design-Based Research Model: The Next Generation of STEM Learning

NASA Astrophysics Data System (ADS)

Annetta, Leonard A.; Frazier, Wendy M.; Folta, Elizabeth; Holmes, Shawn; Lamb, Richard; Cheng, Meng-Tzu

2013-02-01

Designed-based research principles guided the study of 51 secondary-science teachers in the second year of a 3-year professional development project. The project entailed the creation of student-centered, inquiry-based, science, video games. A professional development model appropriate for infusing innovative technologies into standards-based curricula was employed to determine how science teacher's attitudes and efficacy where impacted while designing science-based video games. The study's mixed-method design ascertained teacher efficacy on five factors (General computer use, Science Learning, Inquiry Teaching and Learning, Synchronous chat/text, and Playing Video Games) related to technology and gaming using a web-based survey). Qualitative data in the form of online blog posts was gathered during the project to assist in the triangulation and assessment of teacher efficacy. Data analyses consisted of an Analysis of Variance and serial coding of teacher reflective responses. Results indicated participants who used computers daily have higher efficacy while using inquiry-based teaching methods and science teaching and learning. Additional emergent findings revealed possible motivating factors for efficacy. This professional development project was focused on inquiry as a pedagogical strategy, standard-based science learning as means to develop content knowledge, and creating video games as technological knowledge. The project was consistent with the Technological Pedagogical Content Knowledge (TPCK) framework where overlapping circles of the three components indicates development of an integrated understanding of the suggested relationships. Findings provide suggestions for development of standards-based science education software, its integration into the curriculum and, strategies for implementing technology into teaching practices.

Two types of death of poliovirus-infected cells: caspase involvement in the apoptosis but not cytopathic effect.

PubMed

Agol, V I; Belov, G A; Bienz, K; Egger, D; Kolesnikova, M S; Raikhlin, N T; Romanova, L I; Smirnova, E A; Tolskaya, E A

1998-12-20

The death of poliovirus-infected cells may occur in two forms: canonical cytopathic effect (CPE) (on productive infections) or apoptosis (when the viral reproduction is hindered by certain drugs or some other restrictive conditions). Morphological manifestations of the CPE and apoptosis, being distinct, share some traits (e.g., chromatin condensation and nuclear deformation). It was shown here that a permeable caspase inhibitor, benzyloxycarbonyl-Val-Ala-Asp-(OMe) fluoromethyl ketone (zVAD.fmk), prevented the development of the poliovirus-induced apoptosis on abortive infection. The apoptotic pathway could be dissected by an inhibitor of chymotrypsin-like serine proteases, N-tosyl-l-phenylalanine chloromethyl ketone (TPCK), which prevented the cleavage of DNA to oligonucleosome-sized pieces and nuclear fragmentation but did not suppress cellular shrinkage, cytoplasmic blebbing, and partial chromatin condensation. These results demonstrate that caspase activation is involved in the execution phase of the viral apoptosis and suggest that a nuclear subset of the apoptotic program is under a separate control, involving a TPCK-sensitive event. Neither zVAD.fmk nor TPCK, at the concentrations affecting the apoptotic response, exerted appreciable influence on the virus growth or cellular pathological changes on productive infection, indicating that the pathways leading to the poliovirus-evoked CPE and apoptosis are different. Copyright 1998 Academic Press.

Cell-free released components of Streptococcus sanguis inhibit human platelet aggregation.

PubMed Central

Herzberg, M C; Brintzenhofe, K L; Clawson, C C

1983-01-01

To study the role of surface components in the selective binding and aggregation of platelet-rich plasma (PRP) by strains of viridans streptococci, we treated the binding, aggregation strain Streptococcus sanguis I 2017-78 by sonication or trypsinization. Morphologically identifiable electron-dense fibrils were released from the cell wall, apparently from an inner electron-dense layer, under conditions that left cells intact. These controlled conditions were determined to cause submaximal loss in adhesion to platelet ghosts and PRP aggregation by treated, washed S. sanguis. Soluble components were recovered from the controlled sonic or L-(tosylamido 2-phenyl)ethyl chloromethyl ketone-trypsin treatments. Each showed dose-response inhibition of aggregation when preincubated with PRP before challenge with fresh, untreated S. sanguis. The time to onset of PRP aggregation was inhibited by 50% with 0.2 mg of TPCK-trypsin peptides or 1.0 mg of the sonicate per ml per 2 X 10(8) platelets. Components of both preparations were immunologically cross-reactive, but lipoteichoic acid was not a major antigen of either. By weight, the TPCK-trypsin peptides were virtually all protein; the sonicate residues identified were about 50% protein and 7% hexose. Each was a complex mixture of components as shown by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. More than 8 TPCK-trypsin peptides and 16 sonicate components were so identified. In contrast, at least four or five components from either preparation were recognized as surface determinants by a rabbit antiserum to whole homologous microbes. Platelet-binding ligands of S. sanguis could be among these determinants. Images PMID:6618669

ICT integration in mathematics initial teacher training and its impact on visualization: the case of GeoGebra

NASA Astrophysics Data System (ADS)

Dockendorff, Monika; Solar, Horacio

2018-01-01

This case study investigates the impact of the integration of information and communications technology (ICT) in mathematics visualization skills and initial teacher education programmes. It reports on the influence GeoGebra dynamic software use has on promoting mathematical learning at secondary school and on its impact on teachers' conceptions about teaching and learning mathematics. This paper describes how GeoGebra-based dynamic applets - designed and used in an exploratory manner - promote mathematical processes such as conjectures. It also refers to the changes prospective teachers experience regarding the relevance visual dynamic representations acquire in teaching mathematics. This study observes a shift in school routines when incorporating technology into the mathematics classroom. Visualization appears as a basic competence associated to key mathematical processes. Implications of an early integration of ICT in mathematics initial teacher training and its impact on developing technological pedagogical content knowledge (TPCK) are drawn.

The "Dynabook" Project: An Engineering Approach to Research and Development of an Educational Innovation

ERIC Educational Resources Information Center

Phillips, Michelle; St. John, Mark

2013-01-01

In 2009, the National Science Foundation funded the "Dynabook: A Digital Resource and Preservice Model for Developing TPCK" project through its Discovery Research K-12 program. Dynabook project leaders and the National Science Foundation (NSF) recognized that digital textbooks would soon be a primary instructional resource, and seized…

A Model for Integrating ICT into Teacher Training Programs in Bangladesh Based on TPCK

ERIC Educational Resources Information Center

Khan, Shahadat Hossain

2014-01-01

Modern technology increasingly creates new challenges in various professional development and practice. However, in teaching, the mere adoption of new or innovative technology is not enough to meet the students' learning needs and opportunities. Technology alone could not sufficiently bring about the desired changes in students' competencies and…

Using TPCK with Digital Storytelling to Investigate Contemporary Issues in Educational Technology

ERIC Educational Resources Information Center

Maddin, Ellen

2012-01-01

Digital storytelling is recognized as a motivating instructional approach that engages students in critical thinking and reflective learning. Technology tools that support digital storytelling are readily available and much easier to use today than they were in years past. The convergence of these factors has facilitated the inclusion of digital…

Using TPCK as a Lens to Study the Practices of Math and Science Teachers Involved in a Year-Long Technology Integration Initiative

ERIC Educational Resources Information Center

Dawson, Kara; Ritzhaupt, Albert; Liu, Feng; Rodriguez, Prisca; Frey, Christopher

2013-01-01

The purpose of this study was to examine the ways teachers enact technological, pedagogical and content practices in math and science lessons and to document the change with teachers involved in a year-long technology integration initiative. Six hundred seventy-two lessons were analyzed in this research using Technological, Pedagogical Content…

Isolation and identification of group A rotaviruses among neonatal diarrheic calves, Morocco.

PubMed

Ennima, Imane; Sebbar, Ghizlane; Harif, Bachir; Amzazi, Saaid; Loutfi, Chafiqa; Touil, Nadia

2016-05-05

Group A rotaviruses (RVA) are the main cause of neonatal calve diarrhea (NCD) in Morocco. In this study, we isolated RVA strains from NCD clinical samples in order to support RVA disease control in Morocco. This isolation process constitutes a first step toward vaccine development. Thirteen fecal samples were obtained from calves with a single episode of neonate calf diarrhea at three different dairies and two samples were collected from field during a severe NCD outbreak. Diagnosis of RVA infection was based on fecal immune-chromatographic rapid test and further evaluated for their hemagglutination (HA) activity. RVA isolation was carried out on MA104 cells after inoculates were treated with different concentrations of trypsin TPCK. All RVA isolates were confirmed by LSI VetMAX™ Triplex Ruminant Rotavirus & Coronavirus Real-Time PCR kit. G and P typing were determined by direct sequencing of the VP4 and VP7 amplicons. RVA isolation was achieved for nine clinical samples following one or two passages (60 %) and was properly depended on HA activity and trypsin treatment of inoculates. The first sign of CPE detected consisted of increased cell granularity, obscure cell boundaries, cell rounding, and eventual degeneration and detachment of cells. At lower TPCK concentration (3-10 μg/inoculum), no changes at the cellular level were observed, while cells activated with 25-30 μg of trypsin/inoculums, they degenerated and trypsin cytotoxicity was enhanced. Appreciable changes in cell's morphology were detected with optimal trypsin concentration of 15-20 μg trypsin/inoculums. Data from qRT-PCR confirmed that unsuccessful cultivations have No-Ct, and all nine isolates have Ct values ranged between 12.17 and 24.69. Analysis sequencing revealed that field isolates were of G6 P[5] serotype and isolates from the dairy NCD samples were of G10 P[14] serotype. To our knowledge, this is the first study in Morocco which reports the circulation of G10P[14] in NCD on dairy farms and G6P[5] in the field. Our study constitutes a crucial and a necessary step allowing preventive and veterinary medicine to support RVA disease controls in the country.

Redundant synthesis of a conidial polyketide by two distinct secondary metabolite clusters in Aspergillus fumigatus

PubMed Central

Throckmorton, Kurt; Lim, Fang Yun; Kontoyiannis, Dimitrios P.; Zheng, Weifa; Keller, Nancy P.

2016-01-01

Summary Filamentous fungi are renowned for the production of bioactive secondary metabolites. Typically, one distinct metabolite is generated from a specific secondary metabolite cluster. Here, we characterize the newly described trypacidin (tpc) cluster in the opportunistic human pathogen Aspergillus fumigatus. We find that this cluster as well as the previously characterized endocrocin (enc) cluster both contribute to the production of the spore metabolite endocrocin. Whereas trypacidin is eliminated when only tpc cluster genes are deleted, endocrocin production is only eliminated when both the tpc and enc non-reducing polyketide synthase-encoding genes, tpcC and encA, respectively, are deleted. EncC, an anthrone oxidase, converts the product released from EncA to endocrocin as a final product. In contrast, endocrocin synthesis by the tpc cluster likely results from incomplete catalysis by TpcK (a putative decarboxylase), as its deletion results in a nearly 10-fold increase in endocrocin production. We suggest endocrocin is likely a shunt product in all related non-reducing polyketide synthase clusters containing homologues of TpcK and TpcL (a putative anthrone oxidase), e.g. geodin and monodictyphenone. This finding represents an unusual example of two physically discrete secondary metabolite clusters generating the same natural product in one fungal species by distinct routes. PMID:26242966

Respiratory syncytial virus (RSV) entry is inhibited by serine protease inhibitor AEBSF when present during an early stage of infection.

PubMed

Van der Gucht, Winke; Leemans, Annelies; De Schryver, Marjorie; Heykers, Annick; Caljon, Guy; Maes, Louis; Cos, Paul; Delputte, Peter L

2017-08-17

Host proteases have been shown to play important roles in many viral activities such as entry, uncoating, viral protein production and disease induction. Therefore, these cellular proteases are putative targets for the development of antivirals that inhibit their activity. Host proteases have been described to play essential roles in Ebola, HCV, HIV and influenza, such that specific protease inhibitors are able to reduce infection. RSV utilizes a host protease in its replication cycle but its potential as antiviral target is unknown. Therefore, we evaluated the effect of protease inhibitors on RSV infection. To measure the sensitivity of RSV infection to protease inhibitors, cells were infected with RSV and incubated for 18 h in the presence or absence of the inhibitors. Cells were fixed, stained and studied using fluorescence microscopy. Several protease inhibitors, representing different classes of proteases (AEBSF, Pepstatin A, E-64, TPCK, PMSF and aprotinin), were tested for inhibitory effects on an RSV A2 infection of HEp-2 cells. Different treatment durations, ranging from 1 h prior to inoculation and continuing for 18 h during the assay, were evaluated. Of all the inhibitors tested, AEBSF and TPCK significantly decreased RSV infection. To ascertain that the observed effect of AEBSF was not a specific feature related to HEp-2 cells, A549 and BEAS-2B cells were also used. Similar to HEp-2, an almost complete block in the number of RSV infected cells after 18 h of incubation was observed and the effect was dose-dependent. To gain insight into the mechanism of this inhibition, AEBSF treatment was applied during different phases of an infection cycle (pre-, peri- and post-inoculation treatment). The results from these experiments indicate that AEBSF is mainly active during the early entry phase of RSV. The inhibitory effect was also observed with other RSV isolates A1998/3-2 and A2000/3-4, suggesting that this is a general feature of RSV. RSV infection can be inhibited by broad serine protease inhibitors, AEBSF and TPCK. We confirmed that AEBSF inhibition is independent of the cell line used or RSV strain. The time point at which treatment with the inhibitor was most potent, was found to coincide with the expected moment of entry of the virion with the host cell.

Depth of Teachers' Knowledge: Frameworks for Teachers' Knowledge of Mathematics

ERIC Educational Resources Information Center

Holmes, Vicki-Lynn

2012-01-01

This article describes seven teacher knowledge frameworks and relates these frameworks to the teaching and assessment of elementary teacher's mathematics knowledge. The frameworks classify teachers' knowledge and provide a vocabulary and common language through which knowledge can be discussed and assessed. These frameworks are categorized into…

The Contribution of Conceptual Frameworks to Knowledge Translation Interventions in Physical Therapy

PubMed Central

Gervais, Mathieu-Joël; Hunt, Matthew

2015-01-01

There is growing recognition of the importance of knowledge translation activities in physical therapy to ensure that research findings are integrated into clinical practice, and increasing numbers of knowledge translation interventions are being conducted. Although various frameworks have been developed to guide and facilitate the process of translating knowledge into practice, these tools have been infrequently used in physical therapy knowledge translation studies to date. Knowledge translation in physical therapy implicates multiple stakeholders and environments and involves numerous steps. In light of this complexity, the use of explicit conceptual frameworks by clinicians and researchers conducting knowledge translation interventions is associated with a range of potential benefits. This perspective article argues that such frameworks are important resources to promote the uptake of new evidence in physical therapist practice settings. Four key benefits associated with the use of conceptual frameworks in designing and implementing knowledge translation interventions are identified, and limits related to their use are considered. A sample of 5 conceptual frameworks is evaluated, and how they address common barriers to knowledge translation in physical therapy is assessed. The goal of this analysis is to provide guidance to physical therapists seeking to identify a framework to support the design and implementation of a knowledge translation intervention. Finally, the use of a conceptual framework is illustrated through a case example. Increased use of conceptual frameworks can have a positive impact on the field of knowledge translation in physical therapy and support the development and implementation of robust and effective knowledge translation interventions that help span the research-practice gap. PMID:25060959

The contribution of conceptual frameworks to knowledge translation interventions in physical therapy.

PubMed

Hudon, Anne; Gervais, Mathieu-Joël; Hunt, Matthew

2015-04-01

There is growing recognition of the importance of knowledge translation activities in physical therapy to ensure that research findings are integrated into clinical practice, and increasing numbers of knowledge translation interventions are being conducted. Although various frameworks have been developed to guide and facilitate the process of translating knowledge into practice, these tools have been infrequently used in physical therapy knowledge translation studies to date. Knowledge translation in physical therapy implicates multiple stakeholders and environments and involves numerous steps. In light of this complexity, the use of explicit conceptual frameworks by clinicians and researchers conducting knowledge translation interventions is associated with a range of potential benefits. This perspective article argues that such frameworks are important resources to promote the uptake of new evidence in physical therapist practice settings. Four key benefits associated with the use of conceptual frameworks in designing and implementing knowledge translation interventions are identified, and limits related to their use are considered. A sample of 5 conceptual frameworks is evaluated, and how they address common barriers to knowledge translation in physical therapy is assessed. The goal of this analysis is to provide guidance to physical therapists seeking to identify a framework to support the design and implementation of a knowledge translation intervention. Finally, the use of a conceptual framework is illustrated through a case example. Increased use of conceptual frameworks can have a positive impact on the field of knowledge translation in physical therapy and support the development and implementation of robust and effective knowledge translation interventions that help span the research-practice gap. © 2015 American Physical Therapy Association.

Theoretical Framework of Researcher Knowledge Development in Mathematics Education

ERIC Educational Resources Information Center

Kontorovich, Igor'

2016-01-01

The goal of this paper is to present a framework of researcher knowledge development in conducting a study in mathematics education. The key components of the framework are: knowledge germane to conducting a particular study, processes of knowledge accumulation, and catalyzing filters that influence a researcher's decision making. The components…

Preparing learners with partly incorrect intuitive prior knowledge for learning

PubMed Central

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

a Conceptual Framework for Virtual Geographic Environments Knowledge Engineering

NASA Astrophysics Data System (ADS)

You, Lan; Lin, Hui

2016-06-01

VGE geographic knowledge refers to the abstract and repeatable geo-information which is related to the geo-science problem, geographical phenomena and geographical laws supported by VGE. That includes expert experiences, evolution rule, simulation processes and prediction results in VGE. This paper proposes a conceptual framework for VGE knowledge engineering in order to effectively manage and use geographic knowledge in VGE. Our approach relies on previous well established theories on knowledge engineering and VGE. The main contribution of this report is following: (1) The concepts of VGE knowledge and VGE knowledge engineering which are defined clearly; (2) features about VGE knowledge different with common knowledge; (3) geographic knowledge evolution process that help users rapidly acquire knowledge in VGE; and (4) a conceptual framework for VGE knowledge engineering providing the supporting methodologies system for building an intelligent VGE. This conceptual framework systematically describes the related VGE knowledge theories and key technologies. That will promote the rapid transformation from geodata to geographic knowledge, and furtherly reduce the gap between the data explosion and knowledge absence.

Developing a framework for transferring knowledge into action: a thematic analysis of the literature

PubMed Central

Ward, Vicky; House, Allan; Hamer, Susan

2010-01-01

Objectives Although there is widespread agreement about the importance of transferring knowledge into action, we still lack high quality information about what works, in which settings and with whom. Whilst there are a large number of models and theories for knowledge transfer interventions, they are untested meaning that their applicability and relevance is largely unknown. This paper describes the development of a conceptual framework of translating knowledge into action and discusses how it can be used for developing a useful model of the knowledge transfer process. Methods A narrative review of the knowledge transfer literature identified 28 different models which explained all or part of the knowledge transfer process. The models were subjected to a thematic analysis to identify individual components and the types of processes used when transferring knowledge into action. The results were used to build a conceptual framework of the process. Results Five common components of the knowledge transfer process were identified: problem identification and communication; knowledge/research development and selection; analysis of context; knowledge transfer activities or interventions; and knowledge/research utilization. We also identified three types of knowledge transfer processes: a linear process; a cyclical process; and a dynamic multidirectional process. From these results a conceptual framework of knowledge transfer was developed. The framework illustrates the five common components of the knowledge transfer process and shows that they are connected via a complex, multidirectional set of interactions. As such the framework allows for the individual components to occur simultaneously or in any given order and to occur more than once during the knowledge transfer process. Conclusion Our framework provides a foundation for gathering evidence from case studies of knowledge transfer interventions. We propose that future empirical work is designed to test and refine the relevant importance and applicability of each of the components in order to build more useful models of knowledge transfer which can serve as a practical checklist for planning or evaluating knowledge transfer activities. PMID:19541874

Four (Algorithms) in One (Bag): An Integrative Framework of Knowledge for Teaching the Standard Algorithms of the Basic Arithmetic Operations

ERIC Educational Resources Information Center

Raveh, Ira; Koichu, Boris; Peled, Irit; Zaslavsky, Orit

2016-01-01

In this article we present an integrative framework of knowledge for teaching the standard algorithms of the four basic arithmetic operations. The framework is based on a mathematical analysis of the algorithms, a connectionist perspective on teaching mathematics and an analogy with previous frameworks of knowledge for teaching arithmetic…

Knowledge engineering for adverse drug event prevention: on the design and development of a uniform, contextualized and sustainable knowledge-based framework.

PubMed

Koutkias, Vassilis; Kilintzis, Vassilis; Stalidis, George; Lazou, Katerina; Niès, Julie; Durand-Texte, Ludovic; McNair, Peter; Beuscart, Régis; Maglaveras, Nicos

2012-06-01

The primary aim of this work was the development of a uniform, contextualized and sustainable knowledge-based framework to support adverse drug event (ADE) prevention via Clinical Decision Support Systems (CDSSs). In this regard, the employed methodology involved first the systematic analysis and formalization of the knowledge sources elaborated in the scope of this work, through which an application-specific knowledge model has been defined. The entire framework architecture has been then specified and implemented by adopting Computer Interpretable Guidelines (CIGs) as the knowledge engineering formalism for its construction. The framework integrates diverse and dynamic knowledge sources in the form of rule-based ADE signals, all under a uniform Knowledge Base (KB) structure, according to the defined knowledge model. Equally important, it employs the means to contextualize the encapsulated knowledge, in order to provide appropriate support considering the specific local environment (hospital, medical department, language, etc.), as well as the mechanisms for knowledge querying, inference, sharing, and management. In this paper, we present thoroughly the establishment of the proposed knowledge framework by presenting the employed methodology and the results obtained as regards implementation, performance and validation aspects that highlight its applicability and virtue in medication safety. Copyright © 2012 Elsevier Inc. All rights reserved.

The Genome-based Knowledge Management in Cycles model: a complex adaptive systems framework for implementation of genomic applications.

PubMed

Arar, Nedal; Knight, Sara J; Modell, Stephen M; Issa, Amalia M

2011-03-01

The main mission of the Genomic Applications in Practice and Prevention Network™ is to advance collaborative efforts involving partners from across the public health sector to realize the promise of genomics in healthcare and disease prevention. We introduce a new framework that supports the Genomic Applications in Practice and Prevention Network mission and leverages the characteristics of the complex adaptive systems approach. We call this framework the Genome-based Knowledge Management in Cycles model (G-KNOMIC). G-KNOMIC proposes that the collaborative work of multidisciplinary teams utilizing genome-based applications will enhance translating evidence-based genomic findings by creating ongoing knowledge management cycles. Each cycle consists of knowledge synthesis, knowledge evaluation, knowledge implementation and knowledge utilization. Our framework acknowledges that all the elements in the knowledge translation process are interconnected and continuously changing. It also recognizes the importance of feedback loops, and the ability of teams to self-organize within a dynamic system. We demonstrate how this framework can be used to improve the adoption of genomic technologies into practice using two case studies of genomic uptake.

Knowledge acquisition in the fuzzy knowledge representation framework of a medical consultation system.

PubMed

Boegl, Karl; Adlassnig, Klaus-Peter; Hayashi, Yoichi; Rothenfluh, Thomas E; Leitich, Harald

2004-01-01

This paper describes the fuzzy knowledge representation framework of the medical computer consultation system MedFrame/CADIAG-IV as well as the specific knowledge acquisition techniques that have been developed to support the definition of knowledge concepts and inference rules. As in its predecessor system CADIAG-II, fuzzy medical knowledge bases are used to model the uncertainty and the vagueness of medical concepts and fuzzy logic reasoning mechanisms provide the basic inference processes. The elicitation and acquisition of medical knowledge from domain experts has often been described as the most difficult and time-consuming task in knowledge-based system development in medicine. It comes as no surprise that this is even more so when unfamiliar representations like fuzzy membership functions are to be acquired. From previous projects we have learned that a user-centered approach is mandatory in complex and ill-defined knowledge domains such as internal medicine. This paper describes the knowledge acquisition framework that has been developed in order to make easier and more accessible the three main tasks of: (a) defining medical concepts; (b) providing appropriate interpretations for patient data; and (c) constructing inferential knowledge in a fuzzy knowledge representation framework. Special emphasis is laid on the motivations for some system design and data modeling decisions. The theoretical framework has been implemented in a software package, the Knowledge Base Builder Toolkit. The conception and the design of this system reflect the need for a user-centered, intuitive, and easy-to-handle tool. First results gained from pilot studies have shown that our approach can be successfully implemented in the context of a complex fuzzy theoretical framework. As a result, this critical aspect of knowledge-based system development can be accomplished more easily.

Toward a Conceptual Knowledge Management Framework in Health

PubMed Central

Lau, Francis

2004-01-01

This paper describes a conceptual organizing scheme for managing knowledge within the health setting. First, a brief review of the notions of knowledge and knowledge management is provided. This is followed by a detailed depiction of our proposed knowledge management framework, which focuses on the concepts of production, use, and refinement of three specific knowledge sources-policy, evidence, and experience. These concepts are operationalized through a set of knowledge management methods and tools tailored for the health setting. We include two case studies around knowledge translation on parent-child relations and virtual networks in community health research to illustrate how this knowledge management framework can be operationalized within specific contexts and the issues involved. We conclude with the lessons learned and implications. PMID:18066388

Development of a mentorship strategy: a knowledge translation case study.

PubMed

Straus, Sharon E; Graham, Ian D; Taylor, Mark; Lockyer, Jocelyn

2008-01-01

There are many theories and frameworks for achieving knowledge translation, and the assortment can be confusing to those responsible for planning, evaluation, or policymaking in knowledge translation. A conceptual framework developed by Graham and colleagues provides an approach that builds on the commonalities found in an assessment of planned-action theories. This article describes the application of this knowledge to action framework to a mentorship initiative in academic medicine. Mentorship influences career success but is threatened in academia by increased clinical, research, and administrative demands. A case study review was undertaken of the role of mentors, the experiences of mentors and mentees, and mentorship initiatives in developing and retaining clinician scientists at two universities in Alberta, Canada. This project involved relevant stakeholders including researchers, university administrators, and research funders. The knowledge to action framework was used to develop a strategy for mentorship for clinician researchers. The framework highlights the need to identify and engage stakeholders in the process of knowledge implementation. A series of initiatives were selected and tailored to barriers and facilitators to implementation of the mentorship initiative; strategies for evaluating the knowledge use and its impact on outcomes were developed. The knowledge to action framework can be used to develop a mentorship initiative for clinician researchers. Future work to evaluate the impact of this intervention on recruitment and retention is planned.

Key principles for a national clinical decision support knowledge sharing framework: synthesis of insights from leading subject matter experts.

PubMed

Kawamoto, Kensaku; Hongsermeier, Tonya; Wright, Adam; Lewis, Janet; Bell, Douglas S; Middleton, Blackford

2013-01-01

To identify key principles for establishing a national clinical decision support (CDS) knowledge sharing framework. As part of an initiative by the US Office of the National Coordinator for Health IT (ONC) to establish a framework for national CDS knowledge sharing, key stakeholders were identified. Stakeholders' viewpoints were obtained through surveys and in-depth interviews, and findings and relevant insights were summarized. Based on these insights, key principles were formulated for establishing a national CDS knowledge sharing framework. Nineteen key stakeholders were recruited, including six executives from electronic health record system vendors, seven executives from knowledge content producers, three executives from healthcare provider organizations, and three additional experts in clinical informatics. Based on these stakeholders' insights, five key principles were identified for effectively sharing CDS knowledge nationally. These principles are (1) prioritize and support the creation and maintenance of a national CDS knowledge sharing framework; (2) facilitate the development of high-value content and tooling, preferably in an open-source manner; (3) accelerate the development or licensing of required, pragmatic standards; (4) acknowledge and address medicolegal liability concerns; and (5) establish a self-sustaining business model. Based on the principles identified, a roadmap for national CDS knowledge sharing was developed through the ONC's Advancing CDS initiative. The study findings may serve as a useful guide for ongoing activities by the ONC and others to establish a national framework for sharing CDS knowledge and improving clinical care.

Incorporating Resilience into Dynamic Social Models

DTIC Science & Technology

2016-07-20

solved by simply using the information provided by the scenario. Instead, additional knowledge is required from relevant fields that study these...resilience function by leveraging Bayesian Knowledge Bases (BKBs), a probabilistic reasoning network framework[5],[6]. BKBs allow for inferencing...reasoning network framework based on Bayesian Knowledge Bases (BKBs). BKBs are central to our social resilience framework as they are used to

An introduction to the multisystem model of knowledge integration and translation.

PubMed

Palmer, Debra; Kramlich, Debra

2011-01-01

Many nurse researchers have designed strategies to assist health care practitioners to move evidence into practice. While many have been identified as "models," most do not have a conceptual framework. They are unidirectional, complex, and difficult for novice research users to understand. These models have focused on empirical knowledge and ignored the importance of practitioners' tacit knowledge. The Communities of Practice conceptual framework allows for the integration of tacit and explicit knowledge into practice. This article describes the development of a new translation model, the Multisystem Model of Knowledge Integration and Translation, supported by the Communities of Practice conceptual framework.

Translational Scholarship and a Palliative Approach: Enlisting the Knowledge-As-Action Framework.

PubMed

Reimer-Kirkham, Sheryl; Doane, Gweneth Hartrick; Antifeau, Elisabeth; Pesut, Barbara; Porterfield, Pat; Roberts, Della; Stajduhar, Kelli; Wikjord, Nicole

2015-01-01

Based on a retheorized epistemology for knowledge translation (KT) that problematizes the "know-do gap" and conceptualizes the knower, knowledge, and action as inseparable, this paper describes the application of the Knowledge-As-Action Framework. When applied as a heuristic device to support an inquiry process, the framework with the metaphor of a kite facilitates a responsiveness to the complexities that characterize KT. Examples from a KT demonstration project on the integration of a palliative approach at 3 clinical sites illustrate the interrelatedness of 6 dimensions-the local context, processes, people, knowledge, fluctuating realities, and values.

Perspectives on Pre-Service Teacher Knowledge for Teaching Early Algebra

ERIC Educational Resources Information Center

McAuliffe, Sharon; Lubben, Fred

2013-01-01

This paper examines a pre-service teacher's content knowledge for teaching early algebra from two perspectives, i.e. using "Rowland's Knowledge Quartet" theory and "Ball's framework for Mathematical Knowledge for Testing" (MKfT). The study intends to examine the differences between the influences using each framework and to…

A Review of Technological Pedagogical Content Knowledge

ERIC Educational Resources Information Center

Chai, Ching Sing; Koh, Joyce Hwee Ling; Tsai, Chin-Chung

2013-01-01

This paper reviews 74 journal papers that investigate ICT integration from the framework of technological pedagogical content knowledge (TPACK). The TPACK framework is an extension of the pedagogical content knowledge (Shulman, 1986). TPACK is the type of integrative and transformative knowledge teachers need for effective use of ICT in…

Teacher Knowledge: A Complex Tapestry

ERIC Educational Resources Information Center

Adoniou, Misty

2015-01-01

Teachers need to know a great deal, in many areas and in multiple ways. Teacher knowledge is a complex tapestry, and teachers must successfully weave the multiple threads. In this article, I present a conceptualisation of teacher knowledge that provides a framework for describing the complexity of teacher knowledge. The framework describes three…

Co-production of knowledge-action systems in urban sustainable governance: The KASA approach

Treesearch

T.A. Munoz-Erickson

2014-01-01

This paper examines how knowledge-action-systems the networks of actors involved in the production, sharing and use of policy-relevant knowledge - work in the process of developing sustainable strategies for cities. I developed an interdisciplinary framework- the knowledge-action system analysis (KASA) framework ...

Understanding the Theoretical Framework of Technological Pedagogical Content Knowledge: A Collaborative Self-Study to Understand Teaching Practice and Aspects of Knowledge

ERIC Educational Resources Information Center

Fransson, Goran; Holmberg, Jorgen

2012-01-01

This paper describes a self-study research project that focused on our experiences when planning, teaching, and evaluating a course in initial teacher education. The theoretical framework of technological pedagogical content knowledge (TPACK) was used as a conceptual structure for the self-study. Our understanding of the framework in relation to…

A framework of knowledge creation processes in participatory simulation of hospital work systems.

PubMed

Andersen, Simone Nyholm; Broberg, Ole

2017-04-01

Participatory simulation (PS) is a method to involve workers in simulating and designing their own future work system. Existing PS studies have focused on analysing the outcome, and minimal attention has been devoted to the process of creating this outcome. In order to study this process, we suggest applying a knowledge creation perspective. The aim of this study was to develop a framework describing the process of how ergonomics knowledge is created in PS. Video recordings from three projects applying PS of hospital work systems constituted the foundation of process mining analysis. The analysis resulted in a framework revealing the sources of ergonomics knowledge creation as sequential relationships between the activities of simulation participants sharing work experiences; experimenting with scenarios; and reflecting on ergonomics consequences. We argue that this framework reveals the hidden steps of PS that are essential when planning and facilitating PS that aims at designing work systems. Practitioner Summary: When facilitating participatory simulation (PS) in work system design, achieving an understanding of the PS process is essential. By applying a knowledge creation perspective and process mining, we investigated the knowledge-creating activities constituting the PS process. The analysis resulted in a framework of the knowledge-creating process in PS.

NASA/DoD Aerospace Knowledge Diffusion Research Project. XXIII - Information technology and aerospace knowledge diffusion: Exploring the intermediary-end user interface in a policy framework

NASA Technical Reports Server (NTRS)

Pinelli, Thomas E.; Barclay, Rebecca O.; Bishop, Ann P.; Kennedy, John M.

1992-01-01

Federal attempts to stimulate technological innovation have been unsuccessful because of the application of an inappropriate policy framework that lacks conceptual and empirical knowledge of the process of technological innovation and fails to acknowledge the relationship between knowledge production, transfer, and use as equally important components of the process of knowledge diffusion. This article argues that the potential contributions of high-speed computing and networking systems will be diminished unless empirically derived knowledge about the information-seeking behavior of members of the social system is incorporated into a new policy framework. Findings from the NASA/DoD Aerospace Knowledge Diffusion Research Project are presented in support of this assertion.

Key principles for a national clinical decision support knowledge sharing framework: synthesis of insights from leading subject matter experts

PubMed Central

Hongsermeier, Tonya; Wright, Adam; Lewis, Janet; Bell, Douglas S; Middleton, Blackford

2013-01-01

Objective To identify key principles for establishing a national clinical decision support (CDS) knowledge sharing framework. Materials and methods As part of an initiative by the US Office of the National Coordinator for Health IT (ONC) to establish a framework for national CDS knowledge sharing, key stakeholders were identified. Stakeholders' viewpoints were obtained through surveys and in-depth interviews, and findings and relevant insights were summarized. Based on these insights, key principles were formulated for establishing a national CDS knowledge sharing framework. Results Nineteen key stakeholders were recruited, including six executives from electronic health record system vendors, seven executives from knowledge content producers, three executives from healthcare provider organizations, and three additional experts in clinical informatics. Based on these stakeholders' insights, five key principles were identified for effectively sharing CDS knowledge nationally. These principles are (1) prioritize and support the creation and maintenance of a national CDS knowledge sharing framework; (2) facilitate the development of high-value content and tooling, preferably in an open-source manner; (3) accelerate the development or licensing of required, pragmatic standards; (4) acknowledge and address medicolegal liability concerns; and (5) establish a self-sustaining business model. Discussion Based on the principles identified, a roadmap for national CDS knowledge sharing was developed through the ONC's Advancing CDS initiative. Conclusion The study findings may serve as a useful guide for ongoing activities by the ONC and others to establish a national framework for sharing CDS knowledge and improving clinical care. PMID:22865671

Using ICT to Enhance Knowledge Management in Higher Education: A Conceptual Framework and Research Agenda

ERIC Educational Resources Information Center

Omona, Walter; van der Weide, Theo; Lubega, Jude

2010-01-01

The adoption and use of ICT to enhance and facilitate Knowledge Management (KM) has brought to focus the urgent need to come out with new methods, tools and techniques in the development of KM systems frameworks, knowledge processes and knowledge technologies to promote effective management of knowledge for improved service deliveries in higher…

Narrative review of frameworks for translating research evidence into policy and practice.

PubMed

Milat, Andrew J; Li, Ben

2017-02-15

A significant challenge in research translation is that interested parties interpret and apply the associated terms and conceptual frameworks in different ways. The purpose of this review was to: a) examine different research translation frameworks; b) examine the similarities and differences between the frameworks; and c) identify key strengths and weaknesses of the models when they are applied in practice. The review involved a keyword search of PubMed. The search string was (translational research OR knowledge translation OR evidence to practice) AND (framework OR model OR theory) AND (public health OR health promotion OR medicine). Included studies were published in English between January 1990 and December 2014, and described frameworks, models or theories associated with research translation. The final review included 98 papers, and 41 different frameworks and models were identified. The most frequently applied knowledge translation framework in the literature was RE-AIM, followed by the knowledge translation continuum or 'T' models, the Knowledge to Action framework, the PARiHS framework, evidence based public health models, and the stages of research and evaluation model. The models identified in this review stem from different fields, including implementation science, basic and medical sciences, health services research and public health, and propose different but related pathways to closing the research-practice gap.

Knowledge for better health: a conceptual framework and foundation for health research systems.

PubMed Central

Pang, Tikki; Sadana, Ritu; Hanney, Steve; Bhutta, Zulfiqar A.; Hyder, Adnan A.; Simon, Jonathon

2003-01-01

Health research generates knowledge that can be utilized to improve health system performance and, ultimately, health and health equity. We propose a conceptual framework for health research systems (HRSs) that defines their boundaries, components, goals, and functions. The framework adopts a systems perspective towards HRSs and serves as a foundation for constructing a practical approach to describe and analyse HRSs. The analysis of HRSs should, in turn, provide a better understanding of how research contributes to gains in health and health equity. In this framework, the intrinsic goals of the HRS are the advancement of scientific knowledge and the utilization of knowledge to improve health and health equity. Its four principal functions are stewardship, financing, creating and sustaining resources, and producing and using research. The framework, as it is applied in consultation with countries, will provide countries and donor agencies with relevant inputs to policies and strategies for strengthening HRSs and using knowledge for better health. PMID:14758408

Knowledge for better health: a conceptual framework and foundation for health research systems.

PubMed

Pang, Tikki; Sadana, Ritu; Hanney, Steve; Bhutta, Zulfiqar A; Hyder, Adnan A; Simon, Jonathon

2003-01-01

Health research generates knowledge that can be utilized to improve health system performance and, ultimately, health and health equity. We propose a conceptual framework for health research systems (HRSs) that defines their boundaries, components, goals, and functions. The framework adopts a systems perspective towards HRSs and serves as a foundation for constructing a practical approach to describe and analyse HRSs. The analysis of HRSs should, in turn, provide a better understanding of how research contributes to gains in health and health equity. In this framework, the intrinsic goals of the HRS are the advancement of scientific knowledge and the utilization of knowledge to improve health and health equity. Its four principal functions are stewardship, financing, creating and sustaining resources, and producing and using research. The framework, as it is applied in consultation with countries, will provide countries and donor agencies with relevant inputs to policies and strategies for strengthening HRSs and using knowledge for better health.

ENTEL: A Case Study on Knowledge Networks and the Impact of Web 2.0 Technologies

ERIC Educational Resources Information Center

Griffiths, Paul; Arenas, Teresita

2014-01-01

This study re-visits an organisation that defined its knowledge-management strategy in 2008-9 applying an established strategy-intellectual capital alignment framework. It addresses questions "How has knowledge management evolved at ENTEL, and what lessons can be learnt? Does the strategy-knowledge management alignment framework applied at…

Study of Sharing Knowledge Resources in Business Schools

ERIC Educational Resources Information Center

Ranjan, Jayanthi

2011-01-01

Purpose: The purpose of this paper is to propose a common business school framework based on knowledge resources that are available in business schools. To support the arguments made based on review literature, the paper presents the holistic framework of knowledge resources in a business school and also provides a knowledge value chain in sharing…

Two frameworks for integrating knowledge in induction

NASA Technical Reports Server (NTRS)

Rosenbloom, Paul S.; Hirsh, Haym; Cohen, William W.; Smith, Benjamin D.

1994-01-01

The use of knowledge in inductive learning is critical for improving the quality of the concept definitions generated, reducing the number of examples required in order to learn effective concept definitions, and reducing the computation needed to find good concept definitions. Relevant knowledge may come in many forms (such as examples, descriptions, advice, and constraints) and from many sources (such as books, teachers, databases, and scientific instruments). How to extract the relevant knowledge from this plethora of possibilities, and then to integrate it together so as to appropriately affect the induction process is perhaps the key issue at this point in inductive learning. Here the focus is on the integration part of this problem; that is, how induction algorithms can, and do, utilize a range of extracted knowledge. Preliminary work on a transformational framework for defining knowledge-intensive inductive algorithms out of relatively knowledge-free algorithms is described, as is a more tentative problems-space framework that attempts to cover all induction algorithms within a single general approach. These frameworks help to organize what is known about current knowledge-intensive induction algorithms, and to point towards new algorithms.

Outcomes-focused knowledge translation: a framework for knowledge translation and patient outcomes improvement.

PubMed

Doran, Diane M; Sidani, Souraya

2007-01-01

Regularly accessing information that is current and reliable continues to be a challenge for front-line staff nurses. Reconceptualizing how nurses access information and designing appropriate decision support systems to facilitate timely access to information may be important for increasing research utilization. An outcomes-focused knowledge translation framework was developed to guide the continuous improvement of patient care through the uptake of research evidence and feedback data about patient outcomes. The framework operationalizes the three elements of the PARIHS framework at the point of care. Outcomes-focused knowledge translation involves four components: (a) patient outcomes measurement and real-time feedback about outcomes achievement; (b) best-practice guidelines, embedded in decision support tools that deliver key messages in response to patient assessment data; (c) clarification of patients' preferences for care; and (d) facilitation by advanced practice nurses and practice leaders. In this paper the framework is described and evidence is provided to support theorized relationships among the concepts in the framework. The framework guided the design of a knowledge translation intervention aimed at continuous improvement of patient care and evidence-based practice, which are fostered through real-time feedback data about patient outcomes, electronic access to evidence-based resources at the point of care, and facilitation by advanced practice nurses. The propositions in the framework need to be empirically tested through future research.

Does the knowledge-to-action (KTA) framework facilitate physical demands analysis development for firefighter injury management and return-to-work planning?

PubMed

Sinden, Kathryn; MacDermid, Joy C

2014-03-01

Employers are tasked with developing injury management and return-to-work (RTW) programs in response to occupational health and safety policies. Physical demands analyses (PDAs) are the cornerstone of injury management and RTW development. Synthesizing and contextualizing policy knowledge for use in occupational program development, including PDAs, is challenging due to multiple stakeholder involvement. Few studies have used a knowledge translation theoretical framework to facilitate policy-based interventions in occupational contexts. The primary aim of this case study was to identify how constructs of the knowledge-to-action (KTA) framework were reflected in employer stakeholder-researcher collaborations during development of a firefighter PDA. Four stakeholder meetings were conducted with employee participants who had experience using PDAs in their occupational role. Directed content analysis informed analyses of meeting minutes, stakeholder views and personal reflections recorded throughout the case. Existing knowledge sources including local data, stakeholder experiences, policies and priorities were synthesized and tailored to develop a PDA in response to the barriers and facilitators identified by the firefighters. The flexibility of the KTA framework and synthesis of multiple knowledge sources were identified strengths. The KTA Action cycle was useful in directing the overall process but insufficient for directing the specific aspects of PDA development. Integration of specific PDA guidelines into the process provided explicit direction on best practices in tailoring the PDA and knowledge synthesis. Although the themes of the KTA framework were confirmed in our analysis, order modification of the KTA components was required. Despite a complex context with divergent perspectives successful implementation of a draft PDA was achieved. The KTA framework facilitated knowledge synthesis and PDA development but specific standards and modifications to the KTA framework were needed to enhance process structure. Flexibility for modification and integration of PDA practice guidelines were identified as assets of the KTA framework during its application.

The knowledge-value chain: A conceptual framework for knowledge translation in health.

PubMed

Landry, Réjean; Amara, Nabil; Pablos-Mendes, Ariel; Shademani, Ramesh; Gold, Irving

2006-08-01

This article briefly discusses knowledge translation and lists the problems associated with it. Then it uses knowledge-management literature to develop and propose a knowledge-value chain framework in order to provide an integrated conceptual model of knowledge management and application in public health organizations. The knowledge-value chain is a non-linear concept and is based on the management of five dyadic capabilities: mapping and acquisition, creation and destruction, integration and sharing/transfer, replication and protection, and performance and innovation.

The knowledge-value chain: A conceptual framework for knowledge translation in health.

PubMed Central

Landry, Réjean; Amara, Nabil; Pablos-Mendes, Ariel; Shademani, Ramesh; Gold, Irving

2006-01-01

This article briefly discusses knowledge translation and lists the problems associated with it. Then it uses knowledge-management literature to develop and propose a knowledge-value chain framework in order to provide an integrated conceptual model of knowledge management and application in public health organizations. The knowledge-value chain is a non-linear concept and is based on the management of five dyadic capabilities: mapping and acquisition, creation and destruction, integration and sharing/transfer, replication and protection, and performance and innovation. PMID:16917645

Knowledge translation is the use of knowledge in health care decision making.

PubMed

Straus, Sharon E; Tetroe, Jacqueline M; Graham, Ian D

2011-01-01

To provide an overview of the science and practice of knowledge translation. Narrative review outlining what knowledge translation is and a framework for its use. Knowledge translation is defined as the use of knowledge in practice and decision making by the public, patients, health care professionals, managers, and policy makers. Failures to use research evidence to inform decision making are apparent across all these key decision maker groups. There are several proposed theories and frameworks for achieving knowledge translation. A conceptual framework developed by Graham et al., termed the knowledge-to-action cycle, provides an approach that builds on the commonalities found in an assessment of planned action theories. Review of the evidence base for the science and practice of knowledge translation has identified several gaps including the need to develop valid strategies for assessing the determinants of knowledge use and for evaluating sustainability of knowledge translation interventions. Copyright © 2011 Elsevier Inc. All rights reserved.

Practice-Based Knowledge Discovery for Comparative Effectiveness Research: An Organizing Framework

PubMed Central

Lucero, Robert J.; Bakken, Suzanne

2014-01-01

Electronic health information systems can increase the ability of health-care organizations to investigate the effects of clinical interventions. The authors present an organizing framework that integrates outcomes and informatics research paradigms to guide knowledge discovery in electronic clinical databases. They illustrate its application using the example of hospital acquired pressure ulcers (HAPU). The Knowledge Discovery through Informatics for Comparative Effectiveness Research (KDI-CER) framework was conceived as a heuristic to conceptualize study designs and address potential methodological limitations imposed by using a single research perspective. Advances in informatics research can play a complementary role in advancing the field of outcomes research including CER. The KDI-CER framework can be used to facilitate knowledge discovery from routinely collected electronic clinical data. PMID:25278645

Strengthening TPACK: A Broader Notion of Context and the Use of Teacher's Narratives to Reveal Knowledge Construction

ERIC Educational Resources Information Center

Porras-Hernandez, Laura Helena; Salinas-Amescua, Bertha

2013-01-01

Technological Pedagogical Content Knowledge (TPACK) as a framework to understand and foster teachers' knowledge for efficient technology integration has the value of unveiling new types of knowledge and departing from technocentric approaches. In this article, we consider two approaches to advance this framework. One of these opens the discussion…

NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 23: Information technology and aerospace knowledge diffusion: Exploring the intermediary-end user interface in a policy framework

NASA Technical Reports Server (NTRS)

Pinelli, Thomas E.; Barclay, Rebecca O.; Bishop, Ann P.; Kennedy, John M.

1992-01-01

Federal attempts to stimulate technological innovation have been unsuccessful because of the application of an inappropriate policy framework that lacks conceptual and empirical knowledge of the process of technological innovation and fails to acknowledge the relationship between knowled reproduction, transfer, and use as equally important components of the process of knowledge diffusion. It is argued that the potential contributions of high-speed computing and networking systems will be diminished unless empirically derived knowledge about the information-seeking behavior of the members of the social system is incorporated into a new policy framework. Findings from the NASA/DoD Aerospace Knowledge Diffusion Research Project are presented in support of this assertion.

A Hyperknowledge Framework of Decision Support Systems.

ERIC Educational Resources Information Center

Chang, Ai-Mei; And Others

1994-01-01

Presents a hyperknowledge framework of decision support systems (DSS). This framework formalizes specifics about system functionality, representation of knowledge, navigation of the knowledge system, and user-interface traits as elements of a DSS environment that conforms closely to human cognitive processes in decision making. (Contains 52…

A Framework for Teaching Tactical Game Knowledge.

ERIC Educational Resources Information Center

Wilson, Gail E.

2002-01-01

Provides an example of a framework of generic knowledge, designed for teachers, that describes and explains the foundational tactical aspects of invasive team-game play. The framework consists of four modules: participants and their roles, objectives, action principles, and action options. Guidelines to help instructors design practical activities…

Confirming the Stankosky Knowledge Management Framework

ERIC Educational Resources Information Center

Ternes, Carl D., Jr.

2011-01-01

As a managerial construct, knowledge management (KM) optimizes organizational knowledge assets to achieve sustainable business advantages by connecting people with the intellectual resources needed to operate more effectively. Yet KM may have its greatest impact when used with repeatable, systems engineering-based "frameworks." As such, this study…

Designing Computer Learning Environments for Engineering and Computer Science: The Scaffolded Knowledge Integration Framework.

ERIC Educational Resources Information Center

Linn, Marcia C.

1995-01-01

Describes a framework called scaffolded knowledge integration and illustrates how it guided the design of two successful course enhancements in the field of computer science and engineering: the LISP Knowledge Integration Environment and the spatial reasoning environment. (101 references) (Author/MKR)

Adapting Technological Pedagogical Content Knowledge Framework to Teach Mathematics

ERIC Educational Resources Information Center

Getenet, Seyum Tekeher

2017-01-01

The technological pedagogical content knowledge framework is increasingly in use by educational technology researcher as a generic description of the knowledge requirements for teachers using technology in all subjects. This study describes the development of a mathematics specific variety of the technological pedagogical content knowledge…

Knowledge and Power in the Technology Classroom: A Framework for Studying Teachers and Students in Action

ERIC Educational Resources Information Center

Danielsson, Anna T.; Berge, Maria; Lidar, Malena

2018-01-01

The purpose of this paper is to develop and illustrate an analytical framework for exploring how relations between knowledge and power are constituted in science and technology classrooms. In addition, the empirical purpose of this paper is to explore how disciplinary knowledge and knowledge-making are constituted in teacher-student interactions.…

Synthesis of Survey Questions That Accurately Discriminate the Elements of the TPACK Framework

ERIC Educational Resources Information Center

Jaikaran-Doe, Seeta; Doe, Peter Edward

2015-01-01

A number of validated survey instruments for assessing technological pedagogical content knowledge (TPACK) do not accurately discriminate between the seven elements of the TPACK framework particularly technological content knowledge (TCK) and technological pedagogical knowledge (TPK). By posing simple questions that assess technological,…

Knowledge Management ERP Curriculum Design/Mapping (Theory and Development Tools)

ERIC Educational Resources Information Center

Swanson, Zane; Hepner, Michelle

2011-01-01

This study proposes a knowledge management framework for developing and managing enterprise resource planning (ERP) curriculum within business schools. Both theory and a practical implementation are addressed. The knowledge management (KM) framework has two components which utilize ERP from a big picture curriculum overview and a ground level…

Technological Pedagogical Content Knowledge -- A Review of the Literature

ERIC Educational Resources Information Center

Voogt, J.; Fisser, P.; Roblin, N. Pareja; Tondeur, J.; van Braak, J.

2013-01-01

Technological Pedagogical Content Knowledge (TPACK) has been introduced as a conceptual framework for the knowledge base teachers need to effectively teach with technology. The framework stems from the notion that technology integration in a specific educational context benefits from a careful alignment of content, pedagogy and the potential of…

Communication, Constructivism, and Transfer of Knowledge in the Education of Bilingual Learners.

ERIC Educational Resources Information Center

Olivares, Rafael A.

2002-01-01

Discusses a theoretical framework to educate bilingual learners that links the communicative approach and the constructivist approach to learning with the transfer of knowledge from one language to another. The framework is illustrated in the communication, constructivism, and transference of knowledge (CCT) model where bilingual students use…

The applicability of the UK Public Health Skills and Knowledge Framework to the practitioner workforce: lessons for competency framework development.

PubMed

Shickle, Darren; Stroud, Laura; Day, Matthew; Smith, Kevin

2018-06-05

Many countries have developed competency frameworks for public health practice. While the number of competencies vary, frameworks cover similar knowledge and skills although they are not explicitly based on competency theory. A total of 15 qualitative group interviews (of up to six people), were conducted with 51 public health practitioners in 8 local authorities to assess the extent to which practitioners utilize competencies defined within the UK Public Health Skills and Knowledge Framework (PHSKF). Framework analysis was applied to the transcribed interviews. The overall framework was seen positively although no participants had previously read or utilized the PHSKF. Most could provide evidence, although some PHSKF competencies required creative thinking to fit expectations of practitioners and to reflect variation across the domains of practice which are impacted by job role and level of seniority. Evidence from previous NHS jobs or education may be needed as some competencies were not regularly utilized within their current local authority role. Further development of the PHSKF is required to provide guidance on how it should be used for practitioners and other members of the public health workforce. Empirical research can help benchmark knowledge/skills for workforce levels so improving the utility of competency frameworks.

An Exploration of the Utility of a Knowledge Utilization Framework to Study the Gap between Reading Disabilities Research and Practice

ERIC Educational Resources Information Center

Davidson, Katherine; Nowicki, Elizabeth

2012-01-01

This pre-pilot study explored the usefulness of a knowledge utilization framework comprised of Knott and Wildavsky's (1980) seven stages of knowledge use and Stone's (2002) three routes to knowledge use to investigate the gap between reading disabilities research and teachers' self-reported use of that research. Semi-structured interviews of ten…

A roadmap for knowledge exchange and mobilization research in conservation and natural resource management.

PubMed

Nguyen, Vivian M; Young, Nathan; Cooke, Steven J

2017-08-01

Scholars across all disciplines have long been interested in how knowledge moves within and beyond their community of peers. Rapid environmental changes and calls for sustainable management practices mean the best knowledge possible is needed to inform decisions, policies, and practices to protect biodiversity and sustainably manage vulnerable natural resources. Although the conservation literature on knowledge exchange (KE) and knowledge mobilization (KM) has grown in recent years, much of it is based on context-specific case studies. This presents a challenge for learning cumulative lessons from KE and KM research and thus effectively using knowledge in conservation and natural resources management. Although continued research on the gap between knowledge and action is valuable, overarching conceptual frameworks are now needed to enable summaries and comparisons across diverse KE-KM research. We propose a knowledge-action framework that provides a conceptual roadmap for future research and practice in KE/KM with the aim of synthesizing lessons learned from contextual case studies and guiding the development and testing of hypotheses in this domain. Our knowledge-action framework has 3 elements that occur at multiple levels and scales: knowledge production (e.g., academia and government), knowledge mediation (e.g., knowledge networks, actors, relational dimension, and contextual dimension), and knowledge-based action (e.g., instrumental, symbolic, and conceptual). The framework integrates concepts from the sociology of science in particular, and serves as a guide to further comprehensive understanding of knowledge exchange and mobilization in conservation and sustainable natural resource management. © 2016 Society for Conservation Biology.

NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 8: The role of the information intermediary in the diffusion of aerospace knowledge

NASA Technical Reports Server (NTRS)

Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.

1990-01-01

The United States aerospace industry is experiencing profound changes created by a combination of domestic actions and circumstances such as airline deregulation. Other changes result from external trends such as emerging foreign competition. These circumstances intensify the need to understand the production, transfer, and utilization of knowledge as a precursor to the rapid diffusion of technology. Presented here is a conceptual framework for understanding the diffusion of technology. A conceptual framework is given for understanding the diffusion of aerospace knowledge. The framework focuses on the information channels and members of the social system associated with the aerospace knowledge diffusion process, placing particular emphasis on aerospace librarians as information intermediaries.

Arden Syntax Clinical Foundation Framework for Event Monitoring in Intensive Care Units: Report on a Pilot Study.

PubMed

de Bruin, Jeroen S; Zeckl, Julia; Adlassnig, Katharina; Blacky, Alexander; Koller, Walter; Rappelsberger, Andrea; Adlassnig, Klaus-Peter

2017-01-01

The creation of clinical decision support systems has received a strong impulse over the last years, but their integration into a clinical routine has lagged behind, partly due to a lack of interoperability and trust by physicians. We report on the implementation of a clinical foundation framework in Arden Syntax, comprising knowledge units for (a) preprocessing raw clinical data, (b) the determination of single clinical concepts, and (c) more complex medical knowledge, which can be modeled through the composition and configuration of knowledge units in this framework. Thus, it can be tailored to clinical institutions or patients' caregivers. In the present version, we integrated knowledge units for several infection-related clinical concepts into the framework and developed a clinical event monitoring system over the framework that employs three different scenarios for monitoring clinical signs of bloodstream infection. The clinical event monitoring system was tested using data from intensive care units at Vienna General Hospital, Austria.

Designing and Implementing an Integrated Technological Pedagogical Science Knowledge Framework for Science Teachers Professional Development

ERIC Educational Resources Information Center

Jimoyiannis, Athanassios

2010-01-01

This paper reports on the design and the implementation of the Technological Pedagogical Science Knowledge (TPASK), a new model for science teachers professional development built on an integrated framework determined by the Technological Pedagogical Content Knowledge (TPACK) model and the authentic learning approach. The TPASK curriculum…

Transnational Corporations and Strategic Challenges: An Analysis of Knowledge Flows and Competitive Advantage

ERIC Educational Resources Information Center

de Pablos, Patricia Ordonez

2006-01-01

Purpose: The purpose of this paper is to analyse knowledge transfers in transnational corporations. Design/methodology/approach: The paper develops a conceptual framework for the analysis of knowledge flow transfers in transnationals. Based on this theoretical framework, the paper propose's research hypotheses and builds a causal model that links…

Conceptualization of Depth of Vocabulary Knowledge with Academic Reading Comprehension

ERIC Educational Resources Information Center

Hasan, Md. Kamrul; Shabdin, Ahmad Affendi

2016-01-01

The present study embodies a conceptual framework, and it studies the concept regarding the depth of vocabulary knowledge. Literature review is employed as a foundation for developing the conceptual framework for the present study. The current study suggests that different dimensions of depth of vocabulary knowledge, namely paradigmatic relations,…

Joint Interactions in Large Online Knowledge Communities: The A[subscript 3]C Framework

ERIC Educational Resources Information Center

Jeong, Heisawn; Cress, Ulrike; Moskaliuk, Johannes; Kimmerle, Joachim

2017-01-01

Social interaction is crucial for understanding individual and collective processes in knowledge communities. We describe how technology has changed the way people interact in large communities. Building on this description, we propose a framework that distinguishes four types of joint interactions in online knowledge communities: Attendance,…

Promoting Teachers' Learning and Knowledge Building in a Socio-Technical System

ERIC Educational Resources Information Center

Tammets, Kairit; Pata, Kai; Laanpere, Mart

2013-01-01

The study proposes a way in which the learning and knowledge building (LKB) framework, which is consistent with the knowledge conversion phases proposed by Nonaka and Takeuchi, supports teachers' informal and self-directed workplace learning. An LKB framework in a socio-technical system was developed to support professional development in an…

Interpretation of Radiological Images: Towards a Framework of Knowledge and Skills

ERIC Educational Resources Information Center

van der Gijp, A.; van der Schaaf, M. F.; van der Schaaf, I. C.; Huige, J. C. B. M.; Ravesloot, C. J.; van Schaik, J. P. J.; ten Cate, Th. J.

2014-01-01

The knowledge and skills that are required for radiological image interpretation are not well documented, even though medical imaging is gaining importance. This study aims to develop a comprehensive framework of knowledge and skills, required for two-dimensional and multiplanar image interpretation in radiology. A mixed-method study approach was…

Conceptualizing a Framework for Advanced Placement Statistics Teaching Knowledge

ERIC Educational Resources Information Center

Haines, Brenna

2015-01-01

The purpose of this article is to sketch a conceptualization of a framework for Advanced Placement (AP) Statistics Teaching Knowledge. Recent research continues to problematize the lack of knowledge and preparation among secondary level statistics teachers. The College Board's AP Statistics course continues to grow and gain popularity, but is a…

Making Just Tenure and Promotion Decisions Using the Objective Knowledge Growth Framework

ERIC Educational Resources Information Center

Chitpin, Stephanie

2015-01-01

Purpose: The purpose of this paper is to utilize the Objective Knowledge Growth Framework (OKGF) to promote a better understanding of the evaluating tenure and promotion processes. Design/Methodology/Approach: A scenario is created to illustrate the concept of using OKGF. Findings: The framework aims to support decision makers in identifying the…

A framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps

NASA Astrophysics Data System (ADS)

Xu, Jin; Li, Zheng; Li, Shuliang; Zhang, Yanyan

2015-07-01

There is still a lack of effective paradigms and tools for analysing and discovering the contents and relationships of project knowledge contexts in the field of project management. In this paper, a new framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps under big data environments is proposed and developed. The conceptual paradigm, theoretical underpinning, extended topic model, and illustration examples of the ontology model for project knowledge maps are presented, with further research work envisaged.

Using the Knowledge to Action Framework in practice: a citation analysis and systematic review.

PubMed

Field, Becky; Booth, Andrew; Ilott, Irene; Gerrish, Kate

2014-11-23

Conceptual frameworks are recommended as a way of applying theory to enhance implementation efforts. The Knowledge to Action (KTA) Framework was developed in Canada by Graham and colleagues in the 2000s, following a review of 31 planned action theories. The framework has two components: Knowledge Creation and an Action Cycle, each of which comprises multiple phases. This review sought to answer two questions: 'Is the KTA Framework used in practice? And if so, how?' This study is a citation analysis and systematic review. The index citation for the original paper was identified on three databases-Web of Science, Scopus and Google Scholar-with the facility for citation searching. Limitations of English language and year of publication 2006-June 2013 were set. A taxonomy categorising the continuum of usage was developed. Only studies applying the framework to implementation projects were included. Data were extracted and mapped against each phase of the framework for studies where it was integral to the implementation project. The citation search yielded 1,787 records. A total of 1,057 titles and abstracts were screened. One hundred and forty-six studies described usage to varying degrees, ranging from referenced to integrated. In ten studies, the KTA Framework was integral to the design, delivery and evaluation of the implementation activities. All ten described using the Action Cycle and seven referred to Knowledge Creation. The KTA Framework was enacted in different health care and academic settings with projects targeted at patients, the public, and nursing and allied health professionals. The KTA Framework is being used in practice with varying degrees of completeness. It is frequently cited, with usage ranging from simple attribution via a reference, through informing planning, to making an intellectual contribution. When the framework was integral to knowledge translation, it guided action in idiosyncratic ways and there was theory fidelity. Prevailing wisdom encourages the use of theories, models and conceptual frameworks, yet their application is less evident in practice. This may be an artefact of reporting, indicating that prospective, primary research is needed to explore the real value of the KTA Framework and similar tools.

Interoperable Data Sharing for Diverse Scientific Disciplines

NASA Astrophysics Data System (ADS)

Hughes, John S.; Crichton, Daniel; Martinez, Santa; Law, Emily; Hardman, Sean

2016-04-01

For diverse scientific disciplines to interoperate they must be able to exchange information based on a shared understanding. To capture this shared understanding, we have developed a knowledge representation framework using ontologies and ISO level archive and metadata registry reference models. This framework provides multi-level governance, evolves independent of implementation technologies, and promotes agile development, namely adaptive planning, evolutionary development, early delivery, continuous improvement, and rapid and flexible response to change. The knowledge representation framework is populated through knowledge acquisition from discipline experts. It is also extended to meet specific discipline requirements. The result is a formalized and rigorous knowledge base that addresses data representation, integrity, provenance, context, quantity, and their relationships within the community. The contents of the knowledge base is translated and written to files in appropriate formats to configure system software and services, provide user documentation, validate ingested data, and support data analytics. This presentation will provide an overview of the framework, present the Planetary Data System's PDS4 as a use case that has been adopted by the international planetary science community, describe how the framework is being applied to other disciplines, and share some important lessons learned.

Philosophical approaches to the nursing informatics data-information-knowledge-wisdom framework.

PubMed

Matney, Susan; Brewster, Philip J; Sward, Katherine A; Cloyes, Kristin G; Staggers, Nancy

2011-01-01

Although informatics is an important area of nursing inquiry and practice, few scholars have articulated the philosophical foundations of the field or how these translate into practice including the often-cited data, information, knowledge, and wisdom (DIKW) framework. Data, information, and knowledge, often approached through postpositivism, can be exhibited in computer systems. Wisdom aligns with constructivist epistemological perspectives such as Gadamerian hermeneutics. Computer systems can support wisdom development. Wisdom is an important element of the DIKW framework and adds value to the role of nursing informaticists and nursing science.

A Framework for Understanding Physics Students' Computational Modeling Practices

NASA Astrophysics Data System (ADS)

Lunk, Brandon Robert

With the growing push to include computational modeling in the physics classroom, we are faced with the need to better understand students' computational modeling practices. While existing research on programming comprehension explores how novices and experts generate programming algorithms, little of this discusses how domain content knowledge, and physics knowledge in particular, can influence students' programming practices. In an effort to better understand this issue, I have developed a framework for modeling these practices based on a resource stance towards student knowledge. A resource framework models knowledge as the activation of vast networks of elements called "resources." Much like neurons in the brain, resources that become active can trigger cascading events of activation throughout the broader network. This model emphasizes the connectivity between knowledge elements and provides a description of students' knowledge base. Together with resources resources, the concepts of "epistemic games" and "frames" provide a means for addressing the interaction between content knowledge and practices. Although this framework has generally been limited to describing conceptual and mathematical understanding, it also provides a means for addressing students' programming practices. In this dissertation, I will demonstrate this facet of a resource framework as well as fill in an important missing piece: a set of epistemic games that can describe students' computational modeling strategies. The development of this theoretical framework emerged from the analysis of video data of students generating computational models during the laboratory component of a Matter & Interactions: Modern Mechanics course. Student participants across two semesters were recorded as they worked in groups to fix pre-written computational models that were initially missing key lines of code. Analysis of this video data showed that the students' programming practices were highly influenced by their existing physics content knowledge, particularly their knowledge of analytic procedures. While this existing knowledge was often applied in inappropriate circumstances, the students were still able to display a considerable amount of understanding of the physics content and of analytic solution procedures. These observations could not be adequately accommodated by the existing literature of programming comprehension. In extending the resource framework to the task of computational modeling, I model students' practices in terms of three important elements. First, a knowledge base includes re- sources for understanding physics, math, and programming structures. Second, a mechanism for monitoring and control describes students' expectations as being directed towards numerical, analytic, qualitative or rote solution approaches and which can be influenced by the problem representation. Third, a set of solution approaches---many of which were identified in this study---describe what aspects of the knowledge base students use and how they use that knowledge to enact their expectations. This framework allows us as researchers to track student discussions and pinpoint the source of difficulties. This work opens up many avenues of potential research. First, this framework gives researchers a vocabulary for extending Resource Theory to other domains of instruction, such as modeling how physics students use graphs. Second, this framework can be used as the basis for modeling expert physicists' programming practices. Important instructional implications also follow from this research. Namely, as we broaden the use of computational modeling in the physics classroom, our instructional practices should focus on helping students understand the step-by-step nature of programming in contrast to the already salient analytic procedures.

Unfolding Possibilities through a Decolonizing Project: Indigenous Knowledges and Rural Japanese Women

ERIC Educational Resources Information Center

Mayuzumi, Kimine

2009-01-01

Rural Japanese women have been overlooked or misrepresented in the academic and nationalist discourses on Japanese women. Using an anti-colonial feminist framework, I advocate that centering discussions on Indigenous knowledges will help fill this gap based on the belief that Indigenous-knowledge framework is a tool to show the agency of the…

A Learning Framework for Knowledge Building and Collective Wisdom Advancement in Virtual Learning Communities

ERIC Educational Resources Information Center

Gan, Yongcheng; Zhu, Zhiting

2007-01-01

This study represents an effort to construct a learning framework for knowledge building and collective wisdom advancement in a virtual learning community (VLC) from the perspectives of system wholeness, intelligence wholeness and dynamics, learning models, and knowledge management. It also tries to construct the zone of proximal development (ZPD)…

The Application of SECI Model as a Framework of Knowledge Creation in Virtual Learning: Case Study of IUST Virtual Classes

ERIC Educational Resources Information Center

Hosseini, Seyede Mehrnoush

2011-01-01

The research aims to define SECI model of knowledge creation (socialization, externalization, combination, and internalization) as a framework of Virtual class management which can lead to better online teaching-learning mechanisms as well as knowledge creation. It has used qualitative research methodology including researcher's close observation…

A Framework for Integrating Knowledge Management with Risk Management for Information Technology Projects (RiskManiT)

ERIC Educational Resources Information Center

Karadsheh, Louay A.

2010-01-01

This research focused on the challenges experienced when executing risk management activities for information technology projects. The lack of adequate knowledge management support of risk management activities has caused many project failures in the past. The research objective was to propose a conceptual framework of the Knowledge-Based Risk…

A Framework of Knowledge Integration and Discovery for Supporting Pharmacogenomics Target Predication of Adverse Drug Events: A Case Study of Drug-Induced Long QT Syndrome.

PubMed

Jiang, Guoqian; Wang, Chen; Zhu, Qian; Chute, Christopher G

2013-01-01

Knowledge-driven text mining is becoming an important research area for identifying pharmacogenomics target genes. However, few of such studies have been focused on the pharmacogenomics targets of adverse drug events (ADEs). The objective of the present study is to build a framework of knowledge integration and discovery that aims to support pharmacogenomics target predication of ADEs. We integrate a semantically annotated literature corpus Semantic MEDLINE with a semantically coded ADE knowledgebase known as ADEpedia using a semantic web based framework. We developed a knowledge discovery approach combining a network analysis of a protein-protein interaction (PPI) network and a gene functional classification approach. We performed a case study of drug-induced long QT syndrome for demonstrating the usefulness of the framework in predicting potential pharmacogenomics targets of ADEs.

Design of Knowledge Management System for Diabetic Complication Diseases

NASA Astrophysics Data System (ADS)

Fiarni, Cut

2017-01-01

This paper examines how to develop a Model for Knowledge Management System (KMS) for diabetes complication diseases. People with diabetes have a higher risk of developing a series of serious health problems. Each patient has different condition that could lead to different disease and health problem. But, with the right information, patient could have early detection so the health risk could be minimized and avoided. Hence, the objective of this research is to propose a conceptual framework that integrates social network model, Knowledge Management activities, and content based reasoning (CBR) for designing such a diabetes health and complication disease KMS. The framework indicates that the critical knowledge management activities are in the process to find similar case and the index table for algorithm to fit the framework for the social media. With this framework, KMS developers can work with healthcare provider to easily identify the suitable IT associated with the CBR process when developing a diabetes KMS.

Using the knowledge-to-action framework to guide the timing of dialysis initiation.

PubMed

Sood, Manish M; Manns, Braden; Nesrallah, Gihad

2014-05-01

The optimal time at which to initiate chronic dialysis remains unknown. Using a contemporary knowledge translation approach (the knowledge-to-action framework), a pan-Canadian collaboration (CANN-NET) set out to study the scope of the problem, then develop and disseminate evidence-based guidelines addressing the timing of dialysis initiation. The purpose of this review is to summarize the key findings and describe the planned Canadian knowledge translation strategy for improving knowledge and practices pertaining to the timing dialysis initiation. New research has provided considerable insights regarding the initiation of dialysis. A Canadian cohort study identified significant variation in the estimated glomerular filtration rate level at dialysis initiation, and a survey of providers identified related knowledge gaps that might be amenable to knowledge translation interventions. A recent knowledge synthesis/guideline concluded that early dialysis initiation is costly, and provides no measureable clinical benefits. A systematic knowledge translation intervention including a multifaceted approach may aid in reducing variation in practice and improving the quality of care. Utilizing the knowledge-to-action framework, we identified practice variation and key barriers to the optimal timing for dialysis initiation that may be amenable to knowledge translation strategies.

The Exploration-Exploitation Dilemma: A Multidisciplinary Framework

PubMed Central

Berger-Tal, Oded; Meron, Ehud; Saltz, David

2014-01-01

The trade-off between the need to obtain new knowledge and the need to use that knowledge to improve performance is one of the most basic trade-offs in nature, and optimal performance usually requires some balance between exploratory and exploitative behaviors. Researchers in many disciplines have been searching for the optimal solution to this dilemma. Here we present a novel model in which the exploration strategy itself is dynamic and varies with time in order to optimize a definite goal, such as the acquisition of energy, money, or prestige. Our model produced four very distinct phases: Knowledge establishment, Knowledge accumulation, Knowledge maintenance, and Knowledge exploitation, giving rise to a multidisciplinary framework that applies equally to humans, animals, and organizations. The framework can be used to explain a multitude of phenomena in various disciplines, such as the movement of animals in novel landscapes, the most efficient resource allocation for a start-up company, or the effects of old age on knowledge acquisition in humans. PMID:24756026

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

PubMed

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

Knowledge brokering for healthy aging: a scoping review of potential approaches.

PubMed

Van Eerd, Dwayne; Newman, Kristine; DeForge, Ryan; Urquhart, Robin; Cornelissen, Evelyn; Dainty, Katie N

2016-10-19

Developing a healthcare delivery system that is more responsive to the future challenges of an aging population is a priority in Canada. The World Health Organization acknowledges the need for knowledge translation frameworks in aging and health. Knowledge brokering (KB) is a specific knowledge translation approach that includes making connections between people to facilitate the use of evidence. Knowledge gaps exist about KB roles, approaches, and guiding frameworks. The objective of the scoping review is to identify and describe KB approaches and the underlying conceptual frameworks (models, theories) used to guide the approaches that could support healthy aging. Literature searches were done in PubMed, EMBASE, PsycINFO, EBM reviews (Cochrane Database of systematic reviews), CINAHL, and SCOPUS, as well as Google and Google Scholar using terms related to knowledge brokering. Titles, abstracts, and full reports were reviewed independently by two reviewers who came to consensus on all screening criteria. Documents were included if they described a KB approach and details about the underlying conceptual basis. Data about KB approach, target stakeholders, KB outcomes, and context were extracted independently by two reviewers. Searches identified 248 unique references. Screening for inclusion revealed 19 documents that described 15 accounts of knowledge brokering and details about conceptual guidance and could be applied in healthy aging contexts. Eight KB elements were detected in the approaches though not all approaches incorporated all elements. The underlying conceptual guidance for KB approaches varied. Specific KB frameworks were referenced or developed for nine KB approaches while the remaining six cited more general KT frameworks (or multiple frameworks) as guidance. The KB approaches that we found varied greatly depending on the context and stakeholders involved. Three of the approaches were explicitly employed in the context of health aging. Common elements of KB approaches that could be conducted in healthy aging contexts focussed on acquiring, adapting, and disseminating knowledge and networking (linkage). The descriptions of the guiding conceptual frameworks (theories, models) focussed on linkage and exchange but varied across approaches. Future research should gather KB practitioner and stakeholder perspectives on effective practices to develop KB approaches for healthy aging.

A Bayesian framework for knowledge attribution: evidence from semantic integration.

PubMed

Powell, Derek; Horne, Zachary; Pinillos, N Ángel; Holyoak, Keith J

2015-06-01

We propose a Bayesian framework for the attribution of knowledge, and apply this framework to generate novel predictions about knowledge attribution for different types of "Gettier cases", in which an agent is led to a justified true belief yet has made erroneous assumptions. We tested these predictions using a paradigm based on semantic integration. We coded the frequencies with which participants falsely recalled the word "thought" as "knew" (or a near synonym), yielding an implicit measure of conceptual activation. Our experiments confirmed the predictions of our Bayesian account of knowledge attribution across three experiments. We found that Gettier cases due to counterfeit objects were not treated as knowledge (Experiment 1), but those due to intentionally-replaced evidence were (Experiment 2). Our findings are not well explained by an alternative account focused only on luck, because accidentally-replaced evidence activated the knowledge concept more strongly than did similar false belief cases (Experiment 3). We observed a consistent pattern of results across a number of different vignettes that varied the quality and type of evidence available to agents, the relative stakes involved, and surface details of content. Accordingly, the present findings establish basic phenomena surrounding people's knowledge attributions in Gettier cases, and provide explanations of these phenomena within a Bayesian framework. Copyright © 2015 Elsevier B.V. All rights reserved.

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

ERIC Educational Resources Information Center

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…

Technical-Oriented Enterprise Resource Planning (ERP) Body of Knowledge for Information Systems Programs: Content and Implementation

ERIC Educational Resources Information Center

Boyle, Todd A.

2007-01-01

In this article, the author proposes a body of knowledge that the educators can use to incorporate the technical aspects of enterprise resource planning (ERP) into an information systems (IS) program, encapsulated as the ERP technical knowledge framework. To illustrate the application of this framework, the author discusses a course sequence that…

An information extraction framework for cohort identification using electronic health records.

PubMed

Liu, Hongfang; Bielinski, Suzette J; Sohn, Sunghwan; Murphy, Sean; Wagholikar, Kavishwar B; Jonnalagadda, Siddhartha R; Ravikumar, K E; Wu, Stephen T; Kullo, Iftikhar J; Chute, Christopher G

2013-01-01

Information extraction (IE), a natural language processing (NLP) task that automatically extracts structured or semi-structured information from free text, has become popular in the clinical domain for supporting automated systems at point-of-care and enabling secondary use of electronic health records (EHRs) for clinical and translational research. However, a high performance IE system can be very challenging to construct due to the complexity and dynamic nature of human language. In this paper, we report an IE framework for cohort identification using EHRs that is a knowledge-driven framework developed under the Unstructured Information Management Architecture (UIMA). A system to extract specific information can be developed by subject matter experts through expert knowledge engineering of the externalized knowledge resources used in the framework.

A competency framework for colonoscopy training derived from cognitive task analysis techniques and expert review.

PubMed

Zupanc, Christine M; Burgess-Limerick, Robin; Hill, Andrew; Riek, Stephan; Wallis, Guy M; Plooy, Annaliese M; Horswill, Mark S; Watson, Marcus O; Hewett, David G

2015-12-01

Colonoscopy is a difficult cognitive-perceptual-motor task. Designing an appropriate instructional program for such a task requires an understanding of the knowledge, skills and attitudes underpinning the competency required to perform the task. Cognitive task analysis techniques provide an empirical means of deriving this information. Video recording and a think-aloud protocol were conducted while 20 experienced endoscopists performed colonoscopy procedures. "Cued-recall" interviews were also carried out post-procedure with nine of the endoscopists. Analysis of the resulting transcripts employed the constant comparative coding method within a grounded theory framework. The resulting draft competency framework was modified after review during semi-structured interviews conducted with six expert endoscopists. The proposed colonoscopy competency framework consists of twenty-seven skill, knowledge and attitude components, grouped into six categories (clinical knowledge; colonoscope handling; situation awareness; heuristics and strategies; clinical reasoning; and intra- and inter-personal). The colonoscopy competency framework provides a principled basis for the design of a training program, and for the design of formative assessment to gauge progress towards attaining the knowledge, skills and attitudes underpinning the achievement of colonoscopy competence.

Role of Knowledge Management and Analytical CRM in Business: Data Mining Based Framework

ERIC Educational Resources Information Center

Ranjan, Jayanthi; Bhatnagar, Vishal

2011-01-01

Purpose: The purpose of the paper is to provide a thorough analysis of the concepts of business intelligence (BI), knowledge management (KM) and analytical CRM (aCRM) and to establish a framework for integrating all the three to each other. The paper also seeks to establish a KM and aCRM based framework using data mining (DM) techniques, which…

Designing computer learning environments for engineering and computer science: The scaffolded knowledge integration framework

NASA Astrophysics Data System (ADS)

Linn, Marcia C.

1995-06-01

Designing effective curricula for complex topics and incorporating technological tools is an evolving process. One important way to foster effective design is to synthesize successful practices. This paper describes a framework called scaffolded knowledge integration and illustrates how it guided the design of two successful course enhancements in the field of computer science and engineering. One course enhancement, the LISP Knowledge Integration Environment, improved learning and resulted in more gender-equitable outcomes. The second course enhancement, the spatial reasoning environment, addressed spatial reasoning in an introductory engineering course. This enhancement minimized the importance of prior knowledge of spatial reasoning and helped students develop a more comprehensive repertoire of spatial reasoning strategies. Taken together, the instructional research programs reinforce the value of the scaffolded knowledge integration framework and suggest directions for future curriculum reformers.

Knowledge Framework Implementation with Multiple Architectures - 13090

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

Upadhyay, H.; Lagos, L.; Quintero, W.

2013-07-01

Multiple kinds of knowledge management systems are operational in public and private enterprises, large and small organizations with a variety of business models that make the design, implementation and operation of integrated knowledge systems very difficult. In recent days, there has been a sweeping advancement in the information technology area, leading to the development of sophisticated frameworks and architectures. These platforms need to be used for the development of integrated knowledge management systems which provides a common platform for sharing knowledge across the enterprise, thereby reducing the operational inefficiencies and delivering cost savings. This paper discusses the knowledge framework andmore » architecture that can be used for the system development and its application to real life need of nuclear industry. A case study of deactivation and decommissioning (D and D) is discussed with the Knowledge Management Information Tool platform and framework. D and D work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with DOE sites, the Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintain this valuable information in a universally available and easily usable system. (authors)« less

Teaching Statistics with Technology

ERIC Educational Resources Information Center

Prodromou, Theodosia

2015-01-01

The Technological Pedagogical Content Knowledge (TPACK) conceptual framework for teaching mathematics, developed by Mishra and Koehler (2006), emphasises the importance of developing integrated and interdependent understanding of three primary forms of knowledge: technology, pedagogy, and content. The TPACK conceptual framework is based upon the…

A Technological, Pedagogical, Arts Knowledge Framework

ERIC Educational Resources Information Center

Jensen, Amy Petersen

2016-01-01

This article invites media arts and technology educators to find synergies in their classroom curriculum and practice. Encouraging the use of the National Media Arts Standards it summons teachers to develop a useful framework for technological practice that utilizes arts knowledge and pedagogies.

A concept ideation framework for medical device design.

PubMed

Hagedorn, Thomas J; Grosse, Ian R; Krishnamurty, Sundar

2015-06-01

Medical device design is a challenging process, often requiring collaboration between medical and engineering domain experts. This collaboration can be best institutionalized through systematic knowledge transfer between the two domains coupled with effective knowledge management throughout the design innovation process. Toward this goal, we present the development of a semantic framework for medical device design that unifies a large medical ontology with detailed engineering functional models along with the repository of design innovation information contained in the US Patent Database. As part of our development, existing medical, engineering, and patent document ontologies were modified and interlinked to create a comprehensive medical device innovation and design tool with appropriate properties and semantic relations to facilitate knowledge capture, enrich existing knowledge, and enable effective knowledge reuse for different scenarios. The result is a Concept Ideation Framework for Medical Device Design (CIFMeDD). Key features of the resulting framework include function-based searching and automated inter-domain reasoning to uniquely enable identification of functionally similar procedures, tools, and inventions from multiple domains based on simple semantic searches. The significance and usefulness of the resulting framework for aiding in conceptual design and innovation in the medical realm are explored via two case studies examining medical device design problems. Copyright © 2015 Elsevier Inc. All rights reserved.

Knowledge translation within a population health study: how do you do it?

PubMed Central

2013-01-01

Background Despite the considerable and growing body of knowledge translation (KT) literature, there are few methodologies sufficiently detailed to guide an integrated KT research approach for a population health study. This paper argues for a clearly articulated collaborative KT approach to be embedded within the research design from the outset. Discussion Population health studies are complex in their own right, and strategies to engage the local community in adopting new interventions are often fraught with considerable challenges. In order to maximise the impact of population health research, more explicit KT strategies need to be developed from the outset. We present four propositions, arising from our work in developing a KT framework for a population health study. These cover the need for an explicit theory-informed conceptual framework; formalizing collaborative approaches within the design; making explicit the roles of both the stakeholders and the researchers; and clarifying what counts as evidence. From our deliberations on these propositions, our own co-creating (co-KT) Framework emerged in which KT is defined as both a theoretical and practical framework for actioning the intent of researchers and communities to co-create, refine, implement and evaluate the impact of new knowledge that is sensitive to the context (values, norms and tacit knowledge) where it is generated and used. The co-KT Framework has five steps. These include initial contact and framing the issue; refining and testing knowledge; interpreting, contextualising and adapting knowledge to the local context; implementing and evaluating; and finally, the embedding and translating of new knowledge into practice. Summary Although descriptions of how to incorporate KT into research designs are increasing, current theoretical and operational frameworks do not generally span a holistic process from knowledge co-creation to knowledge application and implementation within one project. Population health studies may have greater health impact when KT is incorporated early and explicitly into the research design. This, we argue, will require that particular attention be paid to collaborative approaches, stakeholder identification and engagement, the nature and sources of evidence used, and the role of the research team working with the local study community. PMID:23694753

Building capacity for knowledge translation in occupational therapy: learning through participatory action research.

PubMed

Bennett, Sally; Whitehead, Mary; Eames, Sally; Fleming, Jennifer; Low, Shanling; Caldwell, Elizabeth

2016-10-01

There has been widespread acknowledgement of the need to build capacity in knowledge translation however much of the existing work focuses on building capacity amongst researchers rather than with clinicians directly. This paper's aim is to describe a research project for developing a knowledge translation capacity building program for occupational therapy clinicians. Participatory action research methods were used to both develop and evaluate the knowledge translation capacity-building program. Participants were occupational therapists from a large metropolitan hospital in Australia. Researchers and clinicians worked together to use the action cycle of the Knowledge to Action Framework to increase use of knowledge translation itself within the department in general, within their clinical teams, and to facilitate knowledge translation becoming part of the department's culture. Barriers and enablers to using knowledge translation were identified through a survey based on the Theoretical Domains Framework and through focus groups. Multiple interventions were used to develop a knowledge translation capacity-building program. Fifty-two occupational therapists participated initially, but only 20 across the first 18 months of the project. Barriers and enablers were identified across all domains of the Theoretical Domains Framework. Interventions selected to address these barriers or facilitate enablers were categorised into ten different categories: educational outreach; teams working on clinical knowledge translation case studies; identifying time blocks for knowledge translation; mentoring; leadership strategies; communication strategies; documentation and resources to support knowledge translation; funding a knowledge translation champion one day per week; setting goals for knowledge translation; and knowledge translation reporting strategies. Use of these strategies was, and continues to be monitored. Participants continue to be actively involved in learning and shaping the knowledge translation program across the department and within their specific clinical areas. To build capacity for knowledge translation, it is important to involve clinicians. The action cycle of the Knowledge to Action framework is a useful guide to introduce the knowledge translation process to clinicians. It may be used to engage the department as a whole, and facilitate the learning and application of knowledge translation within specific clinical areas. Research evaluating this knowledge translation program is being conducted.

The Dependence on Mathematical Theory in TIMSS, PISA and TIMSS Advanced Test Items and Its Relation to Student Achievement

ERIC Educational Resources Information Center

Hole, Arne; Grønmo, Liv Sissel; Onstad, Torgeir

2018-01-01

Background: This paper discusses a framework for analyzing the dependence on mathematical theory in test items, that is, a framework for discussing to what extent knowledge of mathematical theory is helpful for the student in solving the item. The framework can be applied to any test in which some knowledge of mathematical theory may be useful,…

Theoretically informed correlates of hepatitis B knowledge among four Asian groups: the health behavior framework.

PubMed

Maxwell, Annette E; Stewart, Susan L; Glenn, Beth A; Wong, Weng Kee; Yasui, Yutaka; Chang, L Cindy; Taylor, Victoria M; Nguyen, Tung T; Chen, Moon S; Bastani, Roshan

2012-01-01

Few studies have examined theoretically informed constructs related to hepatitis B (HBV) testing, and comparisons across studies are challenging due to lack of uniformity in constructs assessed. The present analysis examined relationships among Health Behavior Framework factors across four Asian American groups to advance the development of theory-based interventions for HBV testing in at-risk populations. Data were collected from 2007-2010 as part of baseline surveys during four intervention trials promoting HBV testing among Vietnamese-, Hmong-, Korean- and Cambodian-Americans (n = 1,735). Health Behavior Framework constructs assessed included: awareness of HBV, knowledge of transmission routes, perceived susceptibility, perceived severity, doctor recommendation, stigma of HBV infection, and perceived efficacy of testing. Within each group we assessed associations between our intermediate outcome of knowledge of HBV transmission and other constructs, to assess the concurrent validity of our model and instruments. While the absolute levels for Health Behavior Framework factors varied across groups, relationships between knowledge and other factors were generally consistent. This suggests similarities rather than differences with respect to posited drivers of HBV-related behavior. Our findings indicate that Health Behavior Framework constructs are applicable to diverse ethnic groups and provide preliminary evidence for the construct validity of the Health Behavior Framework.

Theoretically Informed Correlates of Hepatitis B Knowledge among Four Asian Groups: The Health Behavior Framework

PubMed Central

Maxwell, AE; Stewart, SL; Glenn, BA; Wong, WK; Yasui, Y; Chang, LC; Taylor, VM; Nguyen, TT; Chen, MS; Bastani, R

2012-01-01

Background Few studies have examined theoretically informed constructs related to hepatitis B (HBV) testing, and comparisons across studies is challenging due to lack of uniformity in constructs assessed. This analysis examines relationships among Health Behavior Framework factors across four Asian American groups to advance the development of theory-based interventions for HBV testing in at-risk populations. Methods Data were collected from 2007–2010 as part of baseline surveys during four intervention trials promoting HBV testing among Vietnamese-, Hmong-, Korean- and Cambodian-Americans (n = 1,735). Health Behavior Framework constructs assessed included: awareness of HBV, knowledge of transmission routes, perceived susceptibility, perceived severity, doctor recommendation, stigma of HBV infection, and perceived efficacy of testing. Within each group we assessed associations between our intermediate outcome of knowledge of HBV transmission and other constructs, to assess the concurrent validity of our model and instruments. Results While the absolute levels for Health Behavior Framework factors varied across groups, relationships between knowledge and other factors were generally consistent. This suggests similarities rather than differences with respect to posited drivers of HBV-related behavior. Discussion Our findings indicate that Health Behavior Framework constructs are applicable to diverse ethnic groups and provide preliminary evidence for the construct validity of the Health Behavior Framework. PMID:22799389

Using the Advocacy Coalition Framework and Multiple Streams policy theories to examine the role of evidence, research and other types of knowledge in drug policy.

PubMed

Ritter, Alison; Hughes, Caitlin Elizabeth; Lancaster, Kari; Hoppe, Robert

2018-04-17

The prevailing 'evidence-based policy' paradigm emphasizes a technical-rational relationship between alcohol and drug research evidence and subsequent policy action. However, policy process theories do not start with this premise, and hence provide an opportunity to consider anew the ways in which evidence, research and other types of knowledge impact upon policy. This paper presents a case study, the police deployment of drug detection dogs, to highlight how two prominent policy theories [the Advocacy Coalition Framework (ACF) and the Multiple Streams (MS) approach] explicate the relationship between evidence and policy. The two theories were interrogated with reference to their descriptions and framings of evidence, research and other types of knowledge. The case study methodology was employed to extract data concerned with evidence and other types of knowledge from a previous detailed historical account and analysis of drug detection dogs in one Australian state (New South Wales). Different types of knowledge employed across the case study were identified and coded, and then analysed with reference to each theory. A detailed analysis of one key 'evidence event' within the case study was also undertaken. Five types of knowledge were apparent in the case study: quantitative program data; practitioner knowledge; legal knowledge; academic research; and lay knowledge. The ACF highlights how these various types of knowledge are only influential inasmuch as they provide the opportunity to alter the beliefs of decision-makers. The MS highlights how multiple types of knowledge may or may not form part of the strategy of policy entrepreneurs to forge the confluence of problems, solutions and politics. Neither the Advocacy Coalition Framework nor the Multiple Streams approach presents an uncomplicated linear relationship between evidence and policy action, nor do they preference any one type of knowledge. The implications for research and practice include the contestation of evidence through beliefs (Advocacy Coalition Framework), the importance of venues for debate (Advocacy Coalition Framework), the way in which data and indicators are transformed into problem specification (Multiple Streams) and the importance of the policy ('alternatives') stream (Multiple Streams). © 2018 Society for the Study of Addiction.

IoT Big-Data Centred Knowledge Granule Analytic and Cluster Framework for BI Applications: A Case Base Analysis.

PubMed

Chang, Hsien-Tsung; Mishra, Nilamadhab; Lin, Chung-Chih

2015-01-01

The current rapid growth of Internet of Things (IoT) in various commercial and non-commercial sectors has led to the deposition of large-scale IoT data, of which the time-critical analytic and clustering of knowledge granules represent highly thought-provoking application possibilities. The objective of the present work is to inspect the structural analysis and clustering of complex knowledge granules in an IoT big-data environment. In this work, we propose a knowledge granule analytic and clustering (KGAC) framework that explores and assembles knowledge granules from IoT big-data arrays for a business intelligence (BI) application. Our work implements neuro-fuzzy analytic architecture rather than a standard fuzzified approach to discover the complex knowledge granules. Furthermore, we implement an enhanced knowledge granule clustering (e-KGC) mechanism that is more elastic than previous techniques when assembling the tactical and explicit complex knowledge granules from IoT big-data arrays. The analysis and discussion presented here show that the proposed framework and mechanism can be implemented to extract knowledge granules from an IoT big-data array in such a way as to present knowledge of strategic value to executives and enable knowledge users to perform further BI actions.

IoT Big-Data Centred Knowledge Granule Analytic and Cluster Framework for BI Applications: A Case Base Analysis

PubMed Central

Chang, Hsien-Tsung; Mishra, Nilamadhab; Lin, Chung-Chih

2015-01-01

The current rapid growth of Internet of Things (IoT) in various commercial and non-commercial sectors has led to the deposition of large-scale IoT data, of which the time-critical analytic and clustering of knowledge granules represent highly thought-provoking application possibilities. The objective of the present work is to inspect the structural analysis and clustering of complex knowledge granules in an IoT big-data environment. In this work, we propose a knowledge granule analytic and clustering (KGAC) framework that explores and assembles knowledge granules from IoT big-data arrays for a business intelligence (BI) application. Our work implements neuro-fuzzy analytic architecture rather than a standard fuzzified approach to discover the complex knowledge granules. Furthermore, we implement an enhanced knowledge granule clustering (e-KGC) mechanism that is more elastic than previous techniques when assembling the tactical and explicit complex knowledge granules from IoT big-data arrays. The analysis and discussion presented here show that the proposed framework and mechanism can be implemented to extract knowledge granules from an IoT big-data array in such a way as to present knowledge of strategic value to executives and enable knowledge users to perform further BI actions. PMID:26600156

An Information Extraction Framework for Cohort Identification Using Electronic Health Records

PubMed Central

Liu, Hongfang; Bielinski, Suzette J.; Sohn, Sunghwan; Murphy, Sean; Wagholikar, Kavishwar B.; Jonnalagadda, Siddhartha R.; Ravikumar, K.E.; Wu, Stephen T.; Kullo, Iftikhar J.; Chute, Christopher G

Information extraction (IE), a natural language processing (NLP) task that automatically extracts structured or semi-structured information from free text, has become popular in the clinical domain for supporting automated systems at point-of-care and enabling secondary use of electronic health records (EHRs) for clinical and translational research. However, a high performance IE system can be very challenging to construct due to the complexity and dynamic nature of human language. In this paper, we report an IE framework for cohort identification using EHRs that is a knowledge-driven framework developed under the Unstructured Information Management Architecture (UIMA). A system to extract specific information can be developed by subject matter experts through expert knowledge engineering of the externalized knowledge resources used in the framework. PMID:24303255

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

PubMed

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.

Reaching a Consensus on the Definition of Genetic Literacy that Is Required from a Twenty-First-Century Citizen

NASA Astrophysics Data System (ADS)

Boerwinkel, Dirk Jan; Yarden, Anat; Waarlo, Arend Jan

2017-12-01

To determine what knowledge of genetics is needed for decision-making on genetic-related issues, a consensus-reaching approach was used. An international group of 57 experts, involved in teaching, studying, or developing genetic education and communication or working with genetic applications in medicine, agriculture, or forensics, answered the questions: "What knowledge of genetics is relevant to those individuals not professionally involved in science?" and "Why is this knowledge relevant?" The answers were classified in different knowledge components following the PISA 2015 science framework. During a workshop with the participants, the results were discussed and applied to seven cases in which genetic knowledge is relevant for decision-making. The analysis of these discussions resulted in a revised framework consisting of nine conceptual knowledge components, three sociocultural components, and four epistemic components. The framework can be used in curricular decisions; its open character allows for including new technologies and applications and facilitates comparisons of different cases.

Meeting the Discipline-Culture Framework of Physics Knowledge: A Teaching Experience in Italian Secondary School

NASA Astrophysics Data System (ADS)

Levrini, Olivia; Bertozzi, Eugenio; Gagliardi, Marta; Tomasini, Nella Grimellini; Pecori, Barbara; Tasquier, Giulia; Galili, Igal

2014-09-01

The paper deals with physics teaching/learning in high school. An investigation in three upper secondary school classes in Italy explored the reactions of students to a structuring lecture on optics within the discipline-culture (DC) framework that organises physics knowledge around four interrelated fundamental theories of light. The lecture presented optics as an unfolding conceptual discourse of physicists regarding the nature of light. Along with the knowledge constructed in a school course of a scientific lyceum, the students provided epistemological comments, displaying their perception of physics knowledge presented in the classroom. Students' views and knowledge were investigated by questionnaires prior to and after the lecture and in special discussions held in each class. They revealed a variety of attitudes and views which allowed inferences about the potential of the DC framework in an educational context. The findings and interpretation indicate the positive and stimulating impact of the lecture and the way in which DC-based approach to knowledge organization makes physics at school cultural and attractive.

CONCEPTUAL FRAMEWORK FOR THE CHEMICAL EFFECTS IN BIOLOGICAL SYSTEMS (CEBS) TOXICOGENOMICS KNOWLEDGE BASE

EPA Science Inventory

Conceptual Framework for the Chemical Effects in Biological Systems (CEBS) T oxicogenomics Knowledge Base

Abstract
Toxicogenomics studies how the genome is involved in responses to environmental stressors or toxicants. It combines genetics, genome-scale mRNA expressio...

Professional Development Recognizing Technology Integration Modeled after the TPACK Framework

ERIC Educational Resources Information Center

McCusker, Laura

2017-01-01

Public school teachers within a Pennsylvania intermediate unit are receiving inadequate job-embedded professional development that recognizes knowledge of content, pedagogy, and technology integration, as outlined by Mishra and Koehler's Technological Pedagogical Content Knowledge (TPACK) framework (2006). A school environment where teachers are…

Contextual Understandings in the TPACK Framework

ERIC Educational Resources Information Center

Swallow, Meredith J. C.; Olofson, Mark W.

2017-01-01

The technological, pedagogical, and content knowledge (TPACK) framework considers the role of technology in teaching. Although TPACK is grounded in context, one limitation is the lack of understanding about the interactions between particular contexts, knowledge development, and instruction. This qualitative multiple-case study was designed to…

Understanding students' explanations of biological phenomena: Conceptual frameworks or p-prims?

NASA Astrophysics Data System (ADS)

Southerland, Sherry A.; Abrams, Eleanor; Cummins, Catherine L.; Anzelmo, Julie

2001-07-01

This study explores two differing perspectives of the nature of students' biological knowledge structures, conceptual frameworks, and p-prims. Students from four grade levels and from three regions of the United States were asked to explain a variety of biological phenomena. Students' responses to the interview probes were analyzed to describe 1) patterns in the nature of students' explanations across grade levels and interview probes, and 2) the consistency of students' explanations across individual interview probes and across the range of probes. The results were interpreted from both perspectives of knowledge structures. While definitive assertions supporting either perspective could not be made, each hypothesis was explored. Although the more prevalent description of student conceptions within a broader conceptual framework could not be discounted, the p-prim of need as a rationale for change was also found to offer a useful description of knowledge frameworks for this content area. The difficulties endemic to the use of biology for the study of basic knowledge structures are also discussed.

Didactical Reconstruction of Processes in Knowledge Construction: Pre-Service Physics Teachers Learning the Law of Electromagnetic Induction

ERIC Educational Resources Information Center

Mantyla, Terhi

2012-01-01

In physics teacher education, two central goals are first to learn the structures of physics knowledge, and second the processes of its construction. To know the structure is to know the framework of concepts and laws; to know the processes is to know where the knowledge comes from, how the framework is constructed, and how it can be justified.…

University Knowledge Exchange (KE) Framework: Good Practice in Technology Transfer. Report to the UK Higher Education Sector and HEFCE by the McMillan Group

ERIC Educational Resources Information Center

Higher Education Funding Council for England, 2016

2016-01-01

As part of its commitment to keeping the UK at the leading edge as a global knowledge-based economy, the last Government asked the Higher Education Funding Council for England (HEFCE) in 2014 to develop a knowledge exchange (KE) performance framework that would secure effective practice in universities on key productive elements in the…

A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

DOE PAGES

Wang, Jing; Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; ...

2013-01-01

Background . The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process. Objective . To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme. Methods . The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC). Expertmore » knowledge was integrated into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection. Results . The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD). Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort. Conclusions . Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates. Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification.« less

A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

PubMed Central

Wang, Jing; Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Varnum, Susan M.; Brown, Joseph N.; Riensche, Roderick M.; Adkins, Joshua N.; Jacobs, Jon M.; Hoidal, John R.; Scholand, Mary Beth; Pounds, Joel G.; Blackburn, Michael R.; Rodland, Karin D.; McDermott, Jason E.

2013-01-01

Background. The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process. Objective. To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme. Methods. The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC). Expert knowledge was integrated into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection. Results. The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD). Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort. Conclusions. Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates. Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification. PMID:24223463

A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

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

Wang, Jing; Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.

2013-10-01

Background. The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process. Objective. To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme. Methods. The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC). Expert knowledge was integratedmore » into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection. Results. The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD). Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort. Conclusions. Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates. Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification.« less

A theoretical framework for measuring knowledge in screening decision aid trials.

PubMed

Smith, Sian K; Barratt, Alexandra; Trevena, Lyndal; Simpson, Judy M; Jansen, Jesse; McCaffery, Kirsten J

2012-11-01

To describe a theoretical framework for assessing knowledge about the possible outcomes of participating in bowel cancer screening for the faecal occult blood test. The content of the knowledge measure was based on the UK General Medical Council's screening guidelines and a theory-based approach to assessing gist knowledge (Fuzzy Trace Theory). It comprised conceptual and numeric questions to assess knowledge of the underlying construct (e.g. false positive concept) and the approximate numbers affected (e.g. likelihood of a false positive). The measure was used in a randomised controlled trial involving 530 adults with low education, to compare the impact of a bowel screening decision aid with a screening information booklet developed for the Australian Government National Bowel Cancer Screening Program. The numeric knowledge scale was particularly responsive to the effects of the decision aid; at follow-up decision aid participants' numeric knowledge was significantly greater than the controls (P<0.001). This contrasts with the conceptual knowledge scale which improved significantly in both groups from baseline to follow-up (P<0.001). Our theory-based knowledge measure was responsive to change in conceptual knowledge and to the effect on numeric knowledge of a decision aid. This theoretical framework has the potential to guide the development of knowledge measures in other screening settings. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

A Working Framework for Enabling International Science Data System Interoperability

NASA Astrophysics Data System (ADS)

Hughes, J. Steven; Hardman, Sean; Crichton, Daniel J.; Martinez, Santa; Law, Emily; Gordon, Mitchell K.

2016-07-01

For diverse scientific disciplines to interoperate they must be able to exchange information based on a shared understanding. To capture this shared understanding, we have developed a knowledge representation framework that leverages ISO level reference models for metadata registries and digital archives. This framework provides multi-level governance, evolves independent of the implementation technologies, and promotes agile development, namely adaptive planning, evolutionary development, early delivery, continuous improvement, and rapid and flexible response to change. The knowledge representation is captured in an ontology through a process of knowledge acquisition. Discipline experts in the role of stewards at the common, discipline, and project levels work to design and populate the ontology model. The result is a formal and consistent knowledge base that provides requirements for data representation, integrity, provenance, context, identification, and relationship. The contents of the knowledge base are translated and written to files in suitable formats to configure system software and services, provide user documentation, validate input, and support data analytics. This presentation will provide an overview of the framework, present a use case that has been adopted by an entire science discipline at the international level, and share some important lessons learned.

Towards Ubiquitous Peer Review Strategies to Sustain and Enhance a Clinical Knowledge Management Framework

PubMed Central

Rocha, Roberto A.; Bradshaw, Richard L.; Bigelow, Sharon M.; Hanna, Timothy P.; Fiol, Guilherme Del; Hulse, Nathan C.; Roemer, Lorrie K.; Wilkinson, Steven G.

2006-01-01

Widespread cooperation between domain experts and front-line clinicians is a key component of any successful clinical knowledge management framework. Peer review is an established form of cooperation that promotes the dissemination of new knowledge. The authors describe three peer collaboration scenarios that have been implemented using the knowledge management infrastructure available at Intermountain Healthcare. Utilization results illustrating the early adoption patterns of the proposed scenarios are presented and discussed, along with succinct descriptions of planned enhancements and future implementation efforts. PMID:17238422

A framework to explore the knowledge structure of multidisciplinary research fields.

PubMed

Uddin, Shahadat; Khan, Arif; Baur, Louise A

2015-01-01

Understanding emerging areas of a multidisciplinary research field is crucial for researchers, policymakers and other stakeholders. For them a knowledge structure based on longitudinal bibliographic data can be an effective instrument. But with the vast amount of available online information it is often hard to understand the knowledge structure for data. In this paper, we present a novel approach for retrieving online bibliographic data and propose a framework for exploring knowledge structure. We also present several longitudinal analyses to interpret and visualize the last 20 years of published obesity research data.

Advancing nursing practice: redefining the theoretical and practical integration of knowledge.

PubMed

Christensen, Martin

2011-03-01

The aim of this paper is to offer an alternative knowing-how knowing-that framework of nursing knowledge, which in the past has been accepted as the provenance of advanced practice. The concept of advancing practice is central to the development of nursing practice and has been seen to take on many different forms depending on its use in context. To many it has become synonymous with the work of the advanced or expert practitioner; others have viewed it as a process of continuing professional development and skills acquisition. Moreover, it is becoming closely linked with practice development. However, there is much discussion as to what constitutes the knowledge necessary for advancing and advanced practice, and it has been suggested that theoretical and practical knowledge form the cornerstone of advanced knowledge. The design of this article takes a discursive approach as to the meaning and integration of knowledge within the context of advancing nursing practice. A thematic analysis of the current discourse relating to knowledge integration models in an advancing and advanced practice arena was used to identify concurrent themes relating to the knowing-how knowing-that framework which commonly used to classify the knowledge necessary for advanced nursing practice. There is a dichotomy as to what constitutes knowledge for advanced and advancing practice. Several authors have offered a variety of differing models, yet it is the application and integration of theoretical and practical knowledge that defines and develops the advancement of nursing practice. An alternative framework offered here may allow differences in the way that nursing knowledge important for advancing practice is perceived, developed and coordinated. What has inevitably been neglected is that there are various other variables which when transposed into the existing knowing-how knowing-that framework allows for advanced knowledge to be better defined. One of the more notable variables is pattern recognition, which became the focus of Benner's work on expert practice. Therefore, if this is included into the knowing-how knowing-that framework, the knowing-how becomes the knowledge that contributes to advancing and advanced practice and the knowing-that becomes the governing action based on a deeper understanding of the problem or issue. © 2011 Blackwell Publishing Ltd.

Citizenship Orientations and Knowledge in Primary and Secondary Education

ERIC Educational Resources Information Center

Geboers, Ellen; Geijsel, Femke; Admiraal, Wilfried; ten Dam, Geert

2015-01-01

Despite widespread attention to citizenship in educational practice, knowledge of the citizenship of students is still fragmented. We therefore present a comprehensive framework to integrate empirical data and theoretical insights into the citizenship of young people today. To develop and validate the framework, we conducted exploratory and…

Discovering Knowledge from Noisy Databases Using Genetic Programming.

ERIC Educational Resources Information Center

Wong, Man Leung; Leung, Kwong Sak; Cheng, Jack C. Y.

2000-01-01

Presents a framework that combines Genetic Programming and Inductive Logic Programming, two approaches in data mining, to induce knowledge from noisy databases. The framework is based on a formalism of logic grammars and is implemented as a data mining system called LOGENPRO (Logic Grammar-based Genetic Programming System). (Contains 34…

THE ADVERSE OUTCOME PATHWAY (AOP) FRAMEWORK: A FRAMEWORK FOR ORGANIZING BIOLOGICAL KNOWLEDGE LEADING TO HEALTH RISKS.

EPA Science Inventory

An Adverse Outcome Pathway (AOP) represents the organization of current and newly acquired knowledge of biological pathways. These pathways contain a series of nodes (Key Events, KEs) that when sufficiently altered influence the next node on the pathway, beginning from an Molecul...

A Framework of Operating Models for Interdisciplinary Research Programs in Clinical Service Organizations

ERIC Educational Resources Information Center

King, Gillian; Currie, Melissa; Smith, Linda; Servais, Michelle; McDougall, Janette

2008-01-01

A framework of operating models for interdisciplinary research programs in clinical service organizations is presented, consisting of a "clinician-researcher" skill development model, a program evaluation model, a researcher-led knowledge generation model, and a knowledge conduit model. Together, these models comprise a tailored, collaborative…

Competency-Based Framework and Continuing Education for Preparing a Skilled School Health Workforce for Asthma Care: The Colorado Experience.

PubMed

Cicutto, Lisa; Gleason, Melanie; Haas-Howard, Christy; Jenkins-Nygren, Lynn; Labonde, Susan; Patrick, Kathy

2017-08-01

School health teams commonly address the needs of students with asthma, which requires specific knowledge and skills. To develop a skilled school health team, a competency-based framework for managing asthma in schools was developed. A modified Delphi with 31 panelists was completed. Consensus (≥80% agreement) was reached for all 148 items regarding the appropriateness as a minimum competency for asthma care in schools. The resultant Colorado Competency Framework for Asthma Care in Schools guided the development and pilot testing of a continuing education curriculum for school nurses. Pre- and postassessments demonstrated significant improvements in knowledge and self-confidence related to asthma care in schools and inhaler technique skills. This work is the first to use a consensus process to identify a framework of minimum competencies for providing asthma care in schools. This framework informed a continuing education curriculum that resulted in improved knowledge, confidence, and skills for school nurses.

Exploring the oxygen supply and demand framework as a learning tool in undergraduate nursing education.

PubMed

Gillespie, Mary; Shackell, Eileen

2017-11-01

In nursing education, physiological concepts are typically presented within a body 'systems' framework yet learners are often challenged to apply this knowledge in the holistic and functional manner needed for effective clinical decision-making and safe patient care. A nursing faculty addressed this learning challenge by developing an advanced organizer as a conceptual and integrative learning tool to support learners in diverse learning environments and practice settings. A mixed methods research study was conducted that explored the effectiveness of the Oxygen Supply and Demand Framework as a learning tool in undergraduate nursing education. A pretest/post-test assessment and reflective journal were used to gather data. Findings indicated the Oxygen Supply and Demand Framework guided the development of pattern recognition and thinking processes and supported knowledge development, knowledge application and clinical decision-making. The Oxygen Supply and Demand Framework supports undergraduate students learning to provide safe and effective nursing care. Copyright © 2017 Elsevier Ltd. All rights reserved.

Knowledge Management Framework for Emerging Infectious Diseases Preparedness and Response: Design and Development of Public Health Document Ontology

PubMed Central

Zhang, Zhizun; Gonzalez, Mila C; Morse, Stephen S

2017-01-01

Background There are increasing concerns about our preparedness and timely coordinated response across the globe to cope with emerging infectious diseases (EIDs). This poses practical challenges that require exploiting novel knowledge management approaches effectively. Objective This work aims to develop an ontology-driven knowledge management framework that addresses the existing challenges in sharing and reusing public health knowledge. Methods We propose a systems engineering-inspired ontology-driven knowledge management approach. It decomposes public health knowledge into concepts and relations and organizes the elements of knowledge based on the teleological functions. Both knowledge and semantic rules are stored in an ontology and retrieved to answer queries regarding EID preparedness and response. Results A hybrid concept extraction was implemented in this work. The quality of the ontology was evaluated using the formal evaluation method Ontology Quality Evaluation Framework. Conclusions Our approach is a potentially effective methodology for managing public health knowledge. Accuracy and comprehensiveness of the ontology can be improved as more knowledge is stored. In the future, a survey will be conducted to collect queries from public health practitioners. The reasoning capacity of the ontology will be evaluated using the queries and hypothetical outbreaks. We suggest the importance of developing a knowledge sharing standard like the Gene Ontology for the public health domain. PMID:29021130

Applying the knowledge to action framework to plan a strategy for implementing breast cancer screening guidelines: an interprofessional perspective.

PubMed

Munce, Sarah; Kastner, Monika; Cramm, Heidi; Lal, Shalini; Deschêne, Sarah-Maude; Auais, Mohammad; Stacey, Dawn; Brouwers, Melissa

2013-09-01

Integrated knowledge translation (IKT) interventions may be one solution to improving the uptake of clinical guidelines. IKT research initiatives are particularly relevant for breast cancer research and initiatives targeting the implementation of clinical guidelines and guideline implementation initiatives, where collaboration with an interdisciplinary team of practitioners, patients, caregivers, and policy makers is needed for producing optimum patient outcomes. The objective of this paper was to describe the process of developing an IKT strategy that could be used by guideline developers to improve the uptake of their new clinical practice guidelines on breast cancer screening. An interprofessional group of students as well as two faculty members met six times over three days at the KT Canada Summer Institute in 2011. The team used all of the phases of the action cycle in the Knowledge to Action Framework as an organizing framework. While the entire framework was used, the step involving assessing barriers to knowledge use was judged to be particularly relevant in anticipating implementation problems and being able to inform the specific KT interventions that would be appropriate to mitigate these challenges and to accomplish goals and outcomes. This activity also underscored the importance of group process and teamwork in IKT. We propose that an a priori assessment of barriers to knowledge use (i.e., level and corresponding barriers), along with the other phases of the Knowledge to Action Framework, is a strategic approach for KT strategy development, implementation, and evaluation planning and could be used in the future planning of KT strategies.

NASA/DoD aerospace knowledge diffusion research project. VIII - The role of the information intermediary in the diffusion of aerospace knowledge

NASA Technical Reports Server (NTRS)

Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.

1990-01-01

The U.S. aerospace industry is experiencing profound changes created by a combination of domestic actions and circumstances such as airline deregulation. Other changes result from external trends such as emerging foreign competition. These circumstances intensify the need to understand the production, transfer, and utilization of knowledge as a precursor to the rapid diffusion of technology. This article presents a conceptual framework for understanding the diffusion of aerospace knowledge. The framework focuses on the information channels and members of the social system associated with the aerospace knowledge diffusion process, placing particular emphasis on aerospace librarians as information intermediaries.

Structured statistical models of inductive reasoning.

PubMed

Kemp, Charles; Tenenbaum, Joshua B

2009-01-01

Everyday inductive inferences are often guided by rich background knowledge. Formal models of induction should aim to incorporate this knowledge and should explain how different kinds of knowledge lead to the distinctive patterns of reasoning found in different inductive contexts. This article presents a Bayesian framework that attempts to meet both goals and describes [corrected] 4 applications of the framework: a taxonomic model, a spatial model, a threshold model, and a causal model. Each model makes probabilistic inferences about the extensions of novel properties, but the priors for the 4 models are defined over different kinds of structures that capture different relationships between the categories in a domain. The framework therefore shows how statistical inference can operate over structured background knowledge, and the authors argue that this interaction between structure and statistics is critical for explaining the power and flexibility of human reasoning.

A 'Knowledge Ecologies' Analysis of Co-designing Water and Sanitation Services in Alaska.

PubMed

Fam, Dena; Sofoulis, Zoë

2017-08-01

Willingness to collaborate across disciplinary boundaries is necessary but not sufficient for project success. This is a case study of a transdisciplinary project whose success was constrained by contextual factors that ultimately favoured technical and scientific forms of knowledge over the cultural intelligence that might ensure technical solutions were socially feasible. In response to Alaskan Water and Sewer Challenge (AWSC), an international team with expertise in engineering, consultative design and public health formed in 2013 to collaborate on a two-year project to design remote area water and sanitation systems in consultation with two native Alaskan communities. Team members were later interviewed about their experiences. Project processes are discussed using a 'Knowledge Ecology' framework, which applies principles of ecosystems analysis to knowledge ecologies, identifying the knowledge equivalents of 'biotic' and 'abiotic' factors and looking at their various interactions. In a positivist 'knowledge integration' perspective, different knowledges are like Lego blocks that combine with other 'data sets' to create a unified structure. The knowledge ecology framework highlights how interactions between different knowledges and knowledge practitioners ('biotic factors') are shaped by contextual ('abiotic') factors: the conditions of knowledge production, the research policy and funding climate, the distribution of research resources, and differential access to enabling infrastructures (networks, facilities). This case study highlights the importance of efforts to negotiate between different knowledge frameworks, including by strategic use of language and precepts that help translate social research into technical design outcomes that are grounded in social reality.

Translational Research 2.0: a framework for accelerating collaborative discovery.

PubMed

Asakiewicz, Chris

2014-05-01

The world wide web has revolutionized the conduct of global, cross-disciplinary research. In the life sciences, interdisciplinary approaches to problem solving and collaboration are becoming increasingly important in facilitating knowledge discovery and integration. Web 2.0 technologies promise to have a profound impact - enabling reproducibility, aiding in discovery, and accelerating and transforming medical and healthcare research across the healthcare ecosystem. However, knowledge integration and discovery require a consistent foundation upon which to operate. A foundation should be capable of addressing some of the critical issues associated with how research is conducted within the ecosystem today and how it should be conducted for the future. This article will discuss a framework for enhancing collaborative knowledge discovery across the medical and healthcare research ecosystem. A framework that could serve as a foundation upon which ecosystem stakeholders can enhance the way data, information and knowledge is created, shared and used to accelerate the translation of knowledge from one area of the ecosystem to another.

Validation of the Survey of Pre-Service Teachers' Knowledge of Teaching and Technology: A Multi-Institutional Sample

ERIC Educational Resources Information Center

Ritzhaupt, Albert D.; Huggins-Manley, Anne Corinne; Ruggles, Krista; Wilson, Matthew

2016-01-01

The TPACK (technological pedagogical content knowledge) framework (Mishra & Koehler, 2006) has gained tremendous momentum from within the educational technology community. Specifically, much discourse has focused on how to measure this multidimensional construct to further define the contours of the framework and potentially make some…

Word Knowledge in a Theory of Reading Comprehension

ERIC Educational Resources Information Center

Perfetti, Charles; Stafura, Joseph

2014-01-01

We reintroduce a wide-angle view of reading comprehension, the Reading Systems Framework, which places word knowledge in the center of the picture, taking into account the progress made in comprehension research and theory. Within this framework, word-to-text integration processes can serve as a model for the study of local comprehension…

How Does Teacher Knowledge in Statistics Impact on Teacher Listening?

ERIC Educational Resources Information Center

Burgess, Tim

2012-01-01

For teaching statistics investigations at primary school level, teacher knowledge has been identified using a framework developed from a classroom based study. Through development of the framework, three types of teacher listening problems were identified, each of which had potential impact on the students' learning. The three types of problems…

Knowledge Management for School Leaders: An Ecological Framework for Thinking Schools.

ERIC Educational Resources Information Center

Petrides, Lisa A.; Guiney, Susan Zahra

2002-01-01

Using examples from schools, this paper illustrates how knowledge management can enable schools to examine the plethora of data they collect and how an ecological framework can be used to transform these data into meaningful information. The paper highlights: the history of management information systems; shifts from information management to…

21st Century Pedagogical Content Knowledge and Science Teaching and Learning

ERIC Educational Resources Information Center

Slough, Scott; Chamblee, Gregory

2017-01-01

Technological Pedagogical Content Knowledge (TPACK) is a theoretical framework that has enjoyed widespread applications as it applies to the integration of technology in the teaching and learning process. This paper reviews the background for TPACK, discusses some of its limitations, and reviews and introduces a new theoretical framework, 21st…

An Ontology and a Software Framework for Competency Modeling and Management

ERIC Educational Resources Information Center

Paquette, Gilbert

2007-01-01

The importance given to competency management is well justified. Acquiring new competencies is the central goal of any education or knowledge management process. Thus, it must be embedded in any software framework as an instructional engineering tool, to inform the runtime environment of the knowledge that is processed by actors, and their…

Guidance for Organisational Strategy on Knowledge to Action from Conceptual Frameworks and Practice

ERIC Educational Resources Information Center

Willis, Cameron; Riley, Barbara; Lewis, Mary; Stockton, Lisa; Yessis, Jennifer

2017-01-01

This paper aims to provide public health organisations involved in chronic disease prevention with conceptual and practical guidance for developing contextually sensitive knowledge-to-action (KTA) strategies. Methods involve an analysis of 13 relevant conceptual KTA frameworks, and a review of three case examples of organisations with active KTA…

The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning

ERIC Educational Resources Information Center

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

2012-01-01

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…

The Influence of the Pedagogical Content Knowledge Theoretical Framework on Research on Preservice Teacher Education

ERIC Educational Resources Information Center

Mecoli, Storey

2013-01-01

Pedagogical Content Knowledge, Lee S. Shulman's theoretical framework, has had a substantial influence on research in preservice teacher education, and consequently, schools of education. This review builds from Grossman's case studies that concluded that beginning teachers provided with excellent teacher education developed more substantial PCK…

Teaching Multidigit Multiplication: Combining Multiple Frameworks to Analyse a Class Episode

ERIC Educational Resources Information Center

Clivaz, Stéphane

2017-01-01

This paper provides an analysis of a teaching episode of the multidigit algorithm for multiplication, with a focus on the influence of the teacher's mathematical knowledge on their teaching. The theoretical framework uses Mathematical Knowledge for Teaching, mathematical pertinence of the teacher and structuration of the milieu in a descending and…

eClims: An Extensible and Dynamic Integration Framework for Biomedical Information Systems.

PubMed

Savonnet, Marinette; Leclercq, Eric; Naubourg, Pierre

2016-11-01

Biomedical information systems (BIS) require consideration of three types of variability: data variability induced by new high throughput technologies, schema or model variability induced by large scale studies or new fields of research, and knowledge variability resulting from new discoveries. Beyond data heterogeneity, managing variabilities in the context of BIS requires extensible and dynamic integration process. In this paper, we focus on data and schema variabilities and we propose an integration framework based on ontologies, master data, and semantic annotations. The framework addresses issues related to: 1) collaborative work through a dynamic integration process; 2) variability among studies using an annotation mechanism; and 3) quality control over data and semantic annotations. Our approach relies on two levels of knowledge: BIS-related knowledge is modeled using an application ontology coupled with UML models that allow controlling data completeness and consistency, and domain knowledge is described by a domain ontology, which ensures data coherence. A system build with the eClims framework has been implemented and evaluated in the context of a proteomic platform.

A Knowledge Discovery framework for Planetary Defense

NASA Astrophysics Data System (ADS)

Jiang, Y.; Yang, C. P.; Li, Y.; Yu, M.; Bambacus, M.; Seery, B.; Barbee, B.

2016-12-01

Planetary Defense, a project funded by NASA Goddard and the NSF, is a multi-faceted effort focused on the mitigation of Near Earth Object (NEO) threats to our planet. Currently, there exists a dispersion of information concerning NEO's amongst different organizations and scientists, leading to a lack of a coherent system of information to be used for efficient NEO mitigation. In this paper, a planetary defense knowledge discovery engine is proposed to better assist the development and integration of a NEO responding system. Specifically, we have implemented an organized information framework by two means: 1) the development of a semantic knowledge base, which provides a structure for relevant information. It has been developed by the implementation of web crawling and natural language processing techniques, which allows us to collect and store the most relevant structured information on a regular basis. 2) the development of a knowledge discovery engine, which allows for the efficient retrieval of information from our knowledge base. The knowledge discovery engine has been built on the top of Elasticsearch, an open source full-text search engine, as well as cutting-edge machine learning ranking and recommendation algorithms. This proposed framework is expected to advance the knowledge discovery and innovation in planetary science domain.

Gendered medicinal plant knowledge contributions to adaptive capacity and health sovereignty in Amazonia.

PubMed

Díaz-Reviriego, Isabel; Fernández-Llamazares, Álvaro; Salpeteur, Matthieu; Howard, Patricia L; Reyes-García, Victoria

2016-12-01

Local medical systems are key elements of social-ecological systems as they provide culturally appropriate and locally accessible health care options, especially for populations with scarce access to biomedicine. The adaptive capacity of local medical systems generally rests on two pillars: species diversity and a robust local knowledge system, both threatened by local and global environmental change. We first present a conceptual framework to guide the assessment of knowledge diversity and redundancy in local medicinal knowledge systems through a gender lens. Then, we apply this conceptual framework to our research on the local medicinal plant knowledge of the Tsimane' Amerindians. Our results suggest that Tsimane' medicinal plant knowledge is gendered and that the frequency of reported ailments and the redundancy of knowledge used to treat them are positively associated. We discuss the implications of knowledge diversity and redundancy for local knowledge systems' adaptive capacity, resilience, and health sovereignty.

Knowledge mapping as a technique to support knowledge translation.

PubMed Central

Ebener, S.; Khan, A.; Shademani, R.; Compernolle, L.; Beltran, M.; Lansang, Ma; Lippman, M.

2006-01-01

This paper explores the possibility of integrating knowledge mapping into a conceptual framework that could serve as a tool for understanding the many complex processes, resources and people involved in a health system, and for identifying potential gaps within knowledge translation processes in order to address them. After defining knowledge mapping, this paper presents various examples of the application of this process in health, before looking at the steps that need to be taken to identify potential gaps, to determine to what extent these gaps affect the knowledge translation process and to establish their cause. This is followed by proposals for interventions aimed at strengthening the overall process. Finally, potential limitations on the application of this framework at the country level are addressed. PMID:16917651

A Conceptual Framework for Examining Knowledge Management in Higher Education Contexts

ERIC Educational Resources Information Center

Lee, Hae-Young; Roth, Gene L.

2009-01-01

Knowledge management is an on-going process that involves varied activities: diagnosis, design, and implementation of knowledge creation, knowledge transfer, and knowledge sharing. The primary goal of knowledge management, like other management theories or models, is to identify and leverage organizational and individual knowledge for the…

Systematic reviews and knowledge translation.

PubMed Central

Tugwell, Peter; Robinson, Vivian; Grimshaw, Jeremy; Santesso, Nancy

2006-01-01

Proven effective interventions exist that would enable all countries to meet the Millennium Development Goals. However, uptake and use of these interventions in the poorest populations is at least 50% less than in the richest populations within each country. Also, we have recently shown that community effectiveness of interventions is lower for the poorest populations due to a "staircase" effect of lower coverage/access, worse diagnostic accuracy, less provider compliance and less consumer adherence. We propose an evidence-based framework for equity-oriented knowledge translation to enhance community effectiveness and health equity. This framework is represented as a cascade of steps to assess and prioritize barriers and thus choose effective knowledge translation interventions that are tailored for relevant audiences (public, patient, practitioner, policy-maker, press and private sector), as well as the evaluation, monitoring and sharing of these strategies. We have used two examples of effective interventions (insecticide-treated bednets to prevent malaria and childhood immunization) to illustrate how this framework can provide a systematic method for decision-makers to ensure the application of evidence-based knowledge in disadvantaged populations. Future work to empirically validate and evaluate the usefulness of this framework is needed. We invite researchers and implementers to use the cascade for equity-oriented knowledge translation as a guide when planning implementation strategies for proven effective interventions. We also encourage policy-makers and health-care managers to use this framework when deciding how effective interventions can be implemented in their own settings. PMID:16917652

Systematic reviews and knowledge translation.

PubMed

Tugwell, Peter; Robinson, Vivian; Grimshaw, Jeremy; Santesso, Nancy

2006-08-01

Proven effective interventions exist that would enable all countries to meet the Millennium Development Goals. However, uptake and use of these interventions in the poorest populations is at least 50% less than in the richest populations within each country. Also, we have recently shown that community effectiveness of interventions is lower for the poorest populations due to a "staircase" effect of lower coverage/access, worse diagnostic accuracy, less provider compliance and less consumer adherence. We propose an evidence-based framework for equity-oriented knowledge translation to enhance community effectiveness and health equity. This framework is represented as a cascade of steps to assess and prioritize barriers and thus choose effective knowledge translation interventions that are tailored for relevant audiences (public, patient, practitioner, policy-maker, press and private sector), as well as the evaluation, monitoring and sharing of these strategies. We have used two examples of effective interventions (insecticide-treated bednets to prevent malaria and childhood immunization) to illustrate how this framework can provide a systematic method for decision-makers to ensure the application of evidence-based knowledge in disadvantaged populations. Future work to empirically validate and evaluate the usefulness of this framework is needed. We invite researchers and implementers to use the cascade for equity-oriented knowledge translation as a guide when planning implementation strategies for proven effective interventions. We also encourage policy-makers and health-care managers to use this framework when deciding how effective interventions can be implemented in their own settings.

A theoretical framework to support research of health service innovation.

PubMed

Fox, Amanda; Gardner, Glenn; Osborne, Sonya

2015-02-01

Health service managers and policy makers are increasingly concerned about the sustainability of innovations implemented in health care settings. The increasing demand on health services requires that innovations are both effective and sustainable; however, research in this field is limited, with multiple disciplines, approaches and paradigms influencing the field. These variations prevent a cohesive approach, and therefore the accumulation of research findings, in the development of a body of knowledge. The purpose of this paper is to provide a thorough examination of the research findings and provide an appropriate theoretical framework to examine sustainability of health service innovation. This paper presents an integrative review of the literature available in relation to sustainability of health service innovation and provides the development of a theoretical framework based on integration and synthesis of the literature. A theoretical framework serves to guide research, determine variables, influence data analysis and is central to the quest for ongoing knowledge development. This research outlines the sustainability of innovation framework; a theoretical framework suitable for examining the sustainability of health service innovation. If left unaddressed, health services research will continue in an ad hoc manner, preventing full utilisation of outcomes, recommendations and knowledge for effective provision of health services. The sustainability of innovation theoretical framework provides an operational basis upon which reliable future research can be conducted.

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration.

PubMed

Yoo, Min-Jung; Grozel, Clément; Kiritsis, Dimitris

2016-07-08

This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open Messaging Interface (O-MI) and Open Data Format (O-DF), which ensures data communication. (1) BACKGROUND: Based on an existing product lifecycle management (PLM) methodology, we enhanced the ontology model for the purpose of integrating efficiently the product-service ontology model that was newly developed; (2) METHODS: The IoT message transfer layer is vertically integrated into a semantic knowledge framework inside which a Semantic Info-Node Agent (SINA) uses the message format as a common protocol of product-service lifecycle data transfer; (3) RESULTS: The product-service ontology model facilitates information retrieval and knowledge extraction during the product lifecycle, while making more information available for the sake of service business creation. The vertical integration of IoT message transfer, encompassing all semantic layers, helps achieve a more flexible and modular approach to knowledge sharing in an IoT environment; (4) Contribution: A semantic data annotation applied to IoT can contribute to enhancing collected data types, which entails a richer knowledge extraction. The ontology-based PLM model enables as well the horizontal integration of heterogeneous PLM data while breaking traditional vertical information silos; (5) CONCLUSION: The framework was applied to a fictive case study with an electric car service for the purpose of demonstration. For the purpose of demonstrating the feasibility of the approach, the semantic model is implemented in Sesame APIs, which play the role of an Internet-connected Resource Description Framework (RDF) database.

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

PubMed Central

Yoo, Min-Jung; Grozel, Clément; Kiritsis, Dimitris

2016-01-01

This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open Messaging Interface (O-MI) and Open Data Format (O-DF), which ensures data communication. (1) Background: Based on an existing product lifecycle management (PLM) methodology, we enhanced the ontology model for the purpose of integrating efficiently the product-service ontology model that was newly developed; (2) Methods: The IoT message transfer layer is vertically integrated into a semantic knowledge framework inside which a Semantic Info-Node Agent (SINA) uses the message format as a common protocol of product-service lifecycle data transfer; (3) Results: The product-service ontology model facilitates information retrieval and knowledge extraction during the product lifecycle, while making more information available for the sake of service business creation. The vertical integration of IoT message transfer, encompassing all semantic layers, helps achieve a more flexible and modular approach to knowledge sharing in an IoT environment; (4) Contribution: A semantic data annotation applied to IoT can contribute to enhancing collected data types, which entails a richer knowledge extraction. The ontology-based PLM model enables as well the horizontal integration of heterogeneous PLM data while breaking traditional vertical information silos; (5) Conclusion: The framework was applied to a fictive case study with an electric car service for the purpose of demonstration. For the purpose of demonstrating the feasibility of the approach, the semantic model is implemented in Sesame APIs, which play the role of an Internet-connected Resource Description Framework (RDF) database. PMID:27399717

A Framework to Explore the Knowledge Structure of Multidisciplinary Research Fields

PubMed Central

Uddin, Shahadat; Khan, Arif; Baur, Louise A.

2015-01-01

Understanding emerging areas of a multidisciplinary research field is crucial for researchers, policymakers and other stakeholders. For them a knowledge structure based on longitudinal bibliographic data can be an effective instrument. But with the vast amount of available online information it is often hard to understand the knowledge structure for data. In this paper, we present a novel approach for retrieving online bibliographic data and propose a framework for exploring knowledge structure. We also present several longitudinal analyses to interpret and visualize the last 20 years of published obesity research data. PMID:25915521

Knowledge and power in the technology classroom: a framework for studying teachers and students in action

NASA Astrophysics Data System (ADS)

Danielsson, Anna T.; Berge, Maria; Lidar, Malena

2018-03-01

The purpose of this paper is to develop and illustrate an analytical framework for exploring how relations between knowledge and power are constituted in science and technology classrooms. In addition, the empirical purpose of this paper is to explore how disciplinary knowledge and knowledge-making are constituted in teacher-student interactions. In our analysis we focus on how instances of teacher-student interaction can be understood as simultaneously contributing to meaning-making and producing power relations. The analytical framework we have developed makes use of practical epistemological analysis in combination with a Foucauldian conceptualisation of power, assuming that privileging of educational content needs to be understood as integral to the execution of power in the classroom. The empirical data consists of video-recorded teaching episodes, taken from a teaching sequence of three 1-h lessons in one Swedish technology classroom with sixteen 13-14 years old students. In the analysis we have identified how different epistemological moves contribute to the normalisation and exclusion of knowledge as well as ways of knowledge-making. Further, by looking at how the teacher communicates what counts as (ir)relevant knowledge or (ir)relevant ways of acquiring knowledge we are able to describe what kind of technology student is made desirable in the analysed classroom.

Purification of a toxic metalloprotease produced by the pathogenic Photobacterium damselae subsp. piscicida isolated from cobia (Rachycentron canadum).

PubMed

Liu, Ping-Chung; Chuang, Wen-Hsiao; Lee, Kuo-Kau

2011-01-01

The aim of the present study was to purify and characterize a toxic protease secreted by the pathogenic Photobacterium damselae subsp. piscicida strain CP1 originally isolated from diseased cobia (Rachycentron canadum). The toxin isolated by anion exchange chromatography, was a metalloprotease, inhibited by L-cysteine, ethylenediaminetetraacetic acid (EDTA), ethylene glycol-bis(beta-aminoethyl ether)N,N,N',N'-tetraacetic acid (EGTA), 1,10-phenanthroline, N-tosyl-L-phenylalanine-chloromethyl ketone (TPCK), and N-alpha-p-tosyl-L-lysine-chloromethyl ketone (TLCK), and showed maximal activity at pH 6.0-8.0 and an apparent molecular mass of about 34.3 kDa. The toxin was also completely inhibited by HgCl2, and partially by sodium dodecyl sulfate (SDS) and CuCl2. The extracellular products and the partially purified protease were lethal to cobia with LD50 values of 1.26 and 6.8 microg protein/g body weight, respectively. The addition of EDTA completely inhibited the lethal toxicity of the purified protease, indicating that this metalloprotease was a lethal toxin produced by the bacterium.

Experimental and theoretical investigation of the rocking curves measured for Mo K α X-ray characteristic lines in the double-crystal nondispersive scheme

NASA Astrophysics Data System (ADS)

Marchenkov, N. V.; Chukhovskii, F. N.; Blagov, A. E.

2015-03-01

The rocking curves (RCs) for Mo K α1 h Mo K α2 characteristic X-ray lines have been experimentally and theoretically studied in the nondispersive scheme of an X-ray double-crystal TPC-K diffractometer. The results of measurements and theoretical calculations of double-crystal RCs for characteristic X-rays from tubes with a molybdenum anode and different widths of slits show that a decrease in the slit width leads to an increase in the relative contribution of the Mo K α2-line RC in comparison with the intensity of the tails of the Mo K α1-line RC. It is shown that the second peak of the Mo K α2 line becomes increasingly pronounced in the tail of the Mo K α1-line RC with a decrease in the slit width. Two plane-parallel Si plates (input faces {110}, diffraction vector h <220>) were used as a monochromator crystal and a sample. The results of measuring double-crystal RCs are in good agreement with theoretical calculations.

Materials Knowledge Systems in Python - A Data Science Framework for Accelerated Development of Hierarchical Materials.

PubMed

Brough, David B; Wheeler, Daniel; Kalidindi, Surya R

2017-03-01

There is a critical need for customized analytics that take into account the stochastic nature of the internal structure of materials at multiple length scales in order to extract relevant and transferable knowledge. Data driven Process-Structure-Property (PSP) linkages provide systemic, modular and hierarchical framework for community driven curation of materials knowledge, and its transference to design and manufacturing experts. The Materials Knowledge Systems in Python project (PyMKS) is the first open source materials data science framework that can be used to create high value PSP linkages for hierarchical materials that can be leveraged by experts in materials science and engineering, manufacturing, machine learning and data science communities. This paper describes the main functions available from this repository, along with illustrations of how these can be accessed, utilized, and potentially further refined by the broader community of researchers.

The BioIntelligence Framework: a new computational platform for biomedical knowledge computing.

PubMed

Farley, Toni; Kiefer, Jeff; Lee, Preston; Von Hoff, Daniel; Trent, Jeffrey M; Colbourn, Charles; Mousses, Spyro

2013-01-01

Breakthroughs in molecular profiling technologies are enabling a new data-intensive approach to biomedical research, with the potential to revolutionize how we study, manage, and treat complex diseases. The next great challenge for clinical applications of these innovations will be to create scalable computational solutions for intelligently linking complex biomedical patient data to clinically actionable knowledge. Traditional database management systems (DBMS) are not well suited to representing complex syntactic and semantic relationships in unstructured biomedical information, introducing barriers to realizing such solutions. We propose a scalable computational framework for addressing this need, which leverages a hypergraph-based data model and query language that may be better suited for representing complex multi-lateral, multi-scalar, and multi-dimensional relationships. We also discuss how this framework can be used to create rapid learning knowledge base systems to intelligently capture and relate complex patient data to biomedical knowledge in order to automate the recovery of clinically actionable information.

Materials Knowledge Systems in Python - A Data Science Framework for Accelerated Development of Hierarchical Materials

PubMed Central

Brough, David B; Wheeler, Daniel; Kalidindi, Surya R.

2017-01-01

There is a critical need for customized analytics that take into account the stochastic nature of the internal structure of materials at multiple length scales in order to extract relevant and transferable knowledge. Data driven Process-Structure-Property (PSP) linkages provide systemic, modular and hierarchical framework for community driven curation of materials knowledge, and its transference to design and manufacturing experts. The Materials Knowledge Systems in Python project (PyMKS) is the first open source materials data science framework that can be used to create high value PSP linkages for hierarchical materials that can be leveraged by experts in materials science and engineering, manufacturing, machine learning and data science communities. This paper describes the main functions available from this repository, along with illustrations of how these can be accessed, utilized, and potentially further refined by the broader community of researchers. PMID:28690971

Do health-promoting schools improve nutrition in China?

PubMed

Wang, Dongxu; Stewart, Donald; Yuan, Yanfei; Chang, Chun

2015-06-01

To demonstrate the effectiveness of health-promoting school framework to promoting healthy eating behaviours and nutrition knowledge among Chinese middle school students, their parents and school staff. Three schools were randomly selected from 15 rural middle schools, then were randomly assigned to either (i) school using HPS framework (HPS school), (ii) school with improved health education only (HE school) or (iii) school received no intervention (control school). Nutrition knowledge and eating behaviours were measured at baseline and 3-month after interventions, using the same instrument. Students and parents in the HPS school had the largest improvement in nutrition knowledge, from 4.92 to 8.23 and 4.84 to 7.74, followed by those in the HE school, from 4.98 to 8.09 and 4.78 to 5.80. School staff in the HE school had the largest improvement in nutrition knowledge (from 4.40 to 8.45), followed by those in the HPS school (from 5.20 to 9.15). Students in the HPS school had the largest improvement in eating behaviours (from 3.16 to 4.13), followed by those in the HE school (from 2.78 to 3.54). There was a statistical difference in the improvement of nutrition knowledge of all target population and of eating behaviours of students after interventions across three schools (p < 0.05). Both HPS framework and health education can increase nutrition knowledge among Chinese middle school students, their parents and school staff. However, HPS framework was more effective than health education only. Noticeably, HPS framework had a positive impact on students' eating behaviours, which should be in the subject of further research. © The Author (2013). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Knowledge Management Framework for Emerging Infectious Diseases Preparedness and Response: Design and Development of Public Health Document Ontology.

PubMed

Zhang, Zhizun; Gonzalez, Mila C; Morse, Stephen S; Venkatasubramanian, Venkat

2017-10-11

There are increasing concerns about our preparedness and timely coordinated response across the globe to cope with emerging infectious diseases (EIDs). This poses practical challenges that require exploiting novel knowledge management approaches effectively. This work aims to develop an ontology-driven knowledge management framework that addresses the existing challenges in sharing and reusing public health knowledge. We propose a systems engineering-inspired ontology-driven knowledge management approach. It decomposes public health knowledge into concepts and relations and organizes the elements of knowledge based on the teleological functions. Both knowledge and semantic rules are stored in an ontology and retrieved to answer queries regarding EID preparedness and response. A hybrid concept extraction was implemented in this work. The quality of the ontology was evaluated using the formal evaluation method Ontology Quality Evaluation Framework. Our approach is a potentially effective methodology for managing public health knowledge. Accuracy and comprehensiveness of the ontology can be improved as more knowledge is stored. In the future, a survey will be conducted to collect queries from public health practitioners. The reasoning capacity of the ontology will be evaluated using the queries and hypothetical outbreaks. We suggest the importance of developing a knowledge sharing standard like the Gene Ontology for the public health domain. ©Zhizun Zhang, Mila C Gonzalez, Stephen S Morse, Venkat Venkatasubramanian. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 11.10.2017.

A scalable architecture for incremental specification and maintenance of procedural and declarative clinical decision-support knowledge.

PubMed

Hatsek, Avner; Shahar, Yuval; Taieb-Maimon, Meirav; Shalom, Erez; Klimov, Denis; Lunenfeld, Eitan

2010-01-01

Clinical guidelines have been shown to improve the quality of medical care and to reduce its costs. However, most guidelines exist in a free-text representation and, without automation, are not sufficiently accessible to clinicians at the point of care. A prerequisite for automated guideline application is a machine-comprehensible representation of the guidelines. In this study, we designed and implemented a scalable architecture to support medical experts and knowledge engineers in specifying and maintaining the procedural and declarative aspects of clinical guideline knowledge, resulting in a machine comprehensible representation. The new framework significantly extends our previous work on the Digital electronic Guidelines Library (DeGeL) The current study designed and implemented a graphical framework for specification of declarative and procedural clinical knowledge, Gesher. We performed three different experiments to evaluate the functionality and usability of the major aspects of the new framework: Specification of procedural clinical knowledge, specification of declarative clinical knowledge, and exploration of a given clinical guideline. The subjects included clinicians and knowledge engineers (overall, 27 participants). The evaluations indicated high levels of completeness and correctness of the guideline specification process by both the clinicians and the knowledge engineers, although the best results, in the case of declarative-knowledge specification, were achieved by teams including a clinician and a knowledge engineer. The usability scores were high as well, although the clinicians' assessment was significantly lower than the assessment of the knowledge engineers.

The SPIRIT Action Framework: A structured approach to selecting and testing strategies to increase the use of research in policy.

PubMed

Redman, Sally; Turner, Tari; Davies, Huw; Williamson, Anna; Haynes, Abby; Brennan, Sue; Milat, Andrew; O'Connor, Denise; Blyth, Fiona; Jorm, Louisa; Green, Sally

2015-07-01

The recent proliferation of strategies designed to increase the use of research in health policy (knowledge exchange) demands better application of contemporary conceptual understandings of how research shapes policy. Predictive models, or action frameworks, are needed to organise existing knowledge and enable a more systematic approach to the selection and testing of intervention strategies. Useful action frameworks need to meet four criteria: have a clearly articulated purpose; be informed by existing knowledge; provide an organising structure to build new knowledge; and be capable of guiding the development and testing of interventions. This paper describes the development of the SPIRIT Action Framework. A literature search and interviews with policy makers identified modifiable factors likely to influence the use of research in policy. An iterative process was used to combine these factors into a pragmatic tool which meets the four criteria. The SPIRIT Action Framework can guide conceptually-informed practical decisions in the selection and testing of interventions to increase the use of research in policy. The SPIRIT Action Framework hypothesises that a catalyst is required for the use of research, the response to which is determined by the capacity of the organisation to engage with research. Where there is sufficient capacity, a series of research engagement actions might occur that facilitate research use. These hypotheses are being tested in ongoing empirical work. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Knowledge Translation Tools are Emerging to Move Neck Pain Research into Practice.

PubMed

Macdermid, Joy C; Miller, Jordan; Gross, Anita R

2013-01-01

Development or synthesis of the best clinical research is in itself insufficient to change practice. Knowledge translation (KT) is an emerging field focused on moving knowledge into practice, which is a non-linear, dynamic process that involves knowledge synthesis, transfer, adoption, implementation, and sustained use. Successful implementation requires using KT strategies based on theory, evidence, and best practice, including tools and processes that engage knowledge developers and knowledge users. Tools can provide instrumental help in implementing evidence. A variety of theoretical frameworks underlie KT and provide guidance on how tools should be developed or implemented. A taxonomy that outlines different purposes for engaging in KT and target audiences can also be useful in developing or implementing tools. Theoretical frameworks that underlie KT typically take different perspectives on KT with differential focus on the characteristics of the knowledge, knowledge users, context/environment, or the cognitive and social processes that are involved in change. Knowledge users include consumers, clinicians, and policymakers. A variety of KT tools have supporting evidence, including: clinical practice guidelines, patient decision aids, and evidence summaries or toolkits. Exemplars are provided of two KT tools to implement best practice in management of neck pain-a clinician implementation guide (toolkit) and a patient decision aid. KT frameworks, taxonomies, clinical expertise, and evidence must be integrated to develop clinical tools that implement best evidence in the management of neck pain.

Understanding the Linkage Gap between L2 Education Researchers and Teachers

ERIC Educational Resources Information Center

Knouzi, Ibtissem; Mady, Callie

2015-01-01

This paper reports on the results of a study that analyzed second language practitioners' and researchers' on-line interactions about six published articles written by the researcher participants. The project used Lavis et al.'s (2003) knowledge transfer framework and Graham et al. (2006) knowledge to action framework as foundations to create a…

Students and Teacher Academic Evaluation Perceptions: Methodology to Construct a Representation Based on Actionable Knowledge Discovery Framework

ERIC Educational Resources Information Center

Molina, Otilia Alejandro; Ratté, Sylvie

2017-01-01

This research introduces a method to construct a unified representation of teachers and students perspectives based on the actionable knowledge discovery (AKD) and delivery framework. The representation is constructed using two models: one obtained from student evaluations and the other obtained from teachers' reflections about their teaching…

A Comparative Study of the Literature on the Dissemination and Utilization of Scientific Knowledge.

ERIC Educational Resources Information Center

Havelock, Ronald G.; And Others

This report provides a framework for understanding the processes of innovation, dissemination, and knowledge utilization (D&U) and it reviews the relevant literature in education and other fields of practice within this framework. D&U is viewed as a transfer of messages by various media between resource systems and users. Major sections analyze…

Investigating Teacher Questions within the Framework of Knowledge Building Pedagogy

ERIC Educational Resources Information Center

Kiss, Tamas; Wang, Alex

2017-01-01

This study is designed to investigate the impact of teacher experience and cognition on teacher questioning in the framework of Knowledge Building (KB) pedagogy. We already know that teachers ask the most questions in a classroom and that the majority of their questions have little impact on learning since they focus on classroom management…

Meeting the Discipline-Culture Framework of Physics Knowledge: A Teaching Experience in Italian Secondary School

ERIC Educational Resources Information Center

Levrini, Olivia; Bertozzi, Eugenio; Gagliardi, Marta; Tomasini, Nella Grimellini; Pecori, Barbara; Tasquier, Giulia; Galili, Igal

2014-01-01

The paper deals with physics teaching/learning in high school. An investigation in three upper secondary school classes in Italy explored the reactions of students to a structuring lecture on optics within the discipline-culture (DC) framework that organises physics knowledge around four interrelated fundamental theories of light. The lecture…

The Effects of Idealized and Grounded Materials on Learning, Transfer, and Interest: An Organizing Framework for Categorizing External Knowledge Representations

ERIC Educational Resources Information Center

Belenky, Daniel M.; Schalk, Lennart

2014-01-01

Research in both cognitive and educational psychology has explored the effect of different types of external knowledge representations (e.g., manipulatives, graphical/pictorial representations, texts) on a variety of important outcome measures. We place this large and multifaceted research literature into an organizing framework, classifying three…

Sustainable Design Re-Examined: Integrated Approach to Knowledge Creation for Sustainable Interior Design

ERIC Educational Resources Information Center

Lee, Young S.

2014-01-01

The article focuses on a systematic approach to the instructional framework to incorporate three aspects of sustainable design. It also aims to provide an instruction model for sustainable design stressing a collective effort to advance knowledge creation as a community. It develops a framework conjoining the concept of integrated process in…

Integrating Social Activity Theory and Critical Discourse Analysis: A Multilayered Methodological Model for Examining Knowledge Mediation in Mentoring

ERIC Educational Resources Information Center

Becher, Ayelet; Orland-Barak, Lily

2016-01-01

This study suggests an integrative qualitative methodological framework for capturing complexity in mentoring activity. Specifically, the model examines how historical developments of a discipline direct mentors' mediation of professional knowledge through the language that they use. The model integrates social activity theory and a framework of…

Developing a Framework for Social Technologies in Learning via Design-Based Research

ERIC Educational Resources Information Center

Parmaxi, Antigoni; Zaphiris, Panayiotis

2015-01-01

This paper reports on the use of design-based research (DBR) for the development of a framework that grounds the use of social technologies in learning. The paper focuses on three studies which step on the learning theory of constructionism. Constructionism assumes that knowledge is better gained when students find this knowledge for themselves…

Evidence-Based Administration for Decision Making in the Framework of Knowledge Strategic Management

ERIC Educational Resources Information Center

Del Junco, Julio Garcia; Zaballa, Rafael De Reyna; de Perea, Juan Garcia Alvarez

2010-01-01

Purpose: This paper seeks to present a model based on evidence-based administration (EBA), which aims to facilitate the creation, transformation and diffusion of knowledge in learning organizations. Design/methodology/approach: A theoretical framework is proposed based on EBA and the case method. Accordingly, an empirical study was carried out in…

Keeping the Local Local: Recalibrating the Status of Science and Traditional Ecological Knowledge (TEK) in Education

ERIC Educational Resources Information Center

Van Eijck, Michiel; Roth, Wolff-Michael

2007-01-01

The debate on the status of traditional ecological knowledge (TEK) in science curricula is currently centered on a juxtaposition of two incompatible frameworks: multiculturalism and universalism. The aim of this paper is to establish a framework that overcomes this opposition between multiculturalism and universalism in science education, so that…

A K-6 Computational Thinking Curriculum Framework: Implications for Teacher Knowledge

ERIC Educational Resources Information Center

Angeli, Charoula; Voogt, Joke; Fluck, Andrew; Webb, Mary; Cox, Margaret; Malyn-Smith, Joyce; Zagami, Jason

2016-01-01

Adding computer science as a separate school subject to the core K-6 curriculum is a complex issue with educational challenges. The authors herein address two of these challenges: (1) the design of the curriculum based on a generic computational thinking framework, and (2) the knowledge teachers need to teach the curriculum. The first issue is…

Knowledge Discovery from Vibration Measurements

PubMed Central

Li, Jian; Wang, Daoyao

2014-01-01

The framework as well as the particular algorithms of pattern recognition process is widely adopted in structural health monitoring (SHM). However, as a part of the overall process of knowledge discovery from data bases (KDD), the results of pattern recognition are only changes and patterns of changes of data features. In this paper, based on the similarity between KDD and SHM and considering the particularity of SHM problems, a four-step framework of SHM is proposed which extends the final goal of SHM from detecting damages to extracting knowledge to facilitate decision making. The purposes and proper methods of each step of this framework are discussed. To demonstrate the proposed SHM framework, a specific SHM method which is composed by the second order structural parameter identification, statistical control chart analysis, and system reliability analysis is then presented. To examine the performance of this SHM method, real sensor data measured from a lab size steel bridge model structure are used. The developed four-step framework of SHM has the potential to clarify the process of SHM to facilitate the further development of SHM techniques. PMID:24574933

Taking knowledge users' knowledge needs into account in health: an evidence synthesis framework.

PubMed

Wickremasinghe, Deepthi; Kuruvilla, Shyama; Mays, Nicholas; Avan, Bilal Iqbal

2016-05-01

The increased demand for evidence-based practice in health policy in recent years has provoked a parallel increase in diverse evidence-based outputs designed to translate knowledge from researchers to policy makers and practitioners. Such knowledge translation ideally creates user-friendly outputs, tailored to meet information needs in a particular context for a particular audience. Yet matching users' knowledge needs to the most suitable output can be challenging. We have developed an evidence synthesis framework to help knowledge users, brokers, commissioners and producers decide which type of output offers the best 'fit' between 'need' and 'response'. We conducted a four-strand literature search for characteristics and methods of evidence synthesis outputs using databases of peer reviewed literature, specific journals, grey literature and references in relevant documents. Eight experts in synthesis designed to get research into policy and practice were also consulted to hone issues for consideration and ascertain key studies. In all, 24 documents were included in the literature review. From these we identified essential characteristics to consider when planning an output-Readability, Relevance, Rigour and Resources-which we then used to develop a process for matching users' knowledge needs with an appropriate evidence synthesis output. We also identified 10 distinct evidence synthesis outputs, classifying them in the evidence synthesis framework under four domains: key features, utility, technical characteristics and resources, and in relation to six primary audience groups-professionals, practitioners, researchers, academics, advocates and policy makers. Users' knowledge needs vary and meeting them successfully requires collaborative planning. The Framework should facilitate a more systematic assessment of the balance of essential characteristics required to select the best output for the purpose. © The Author 2015. Published by Oxford University Press.

Assessing communities of practice in health policy: a conceptual framework as a first step towards empirical research

PubMed Central

2013-01-01

Communities of Practice (CoPs) are groups of people that interact regularly to deepen their knowledge on a specific topic. Thanks to information and communication technologies, CoPs can involve experts distributed across countries and adopt a ‘transnational’ membership. This has allowed the strategy to be applied to domains of knowledge such as health policy with a global perspective. CoPs represent a potentially valuable tool for producing and sharing explicit knowledge, as well as tacit knowledge and implementation practices. They may also be effective in creating links among the different ‘knowledge holders’ contributing to health policy (e.g., researchers, policymakers, technical assistants, practitioners, etc.). CoPs in global health are growing in number and activities. As a result, there is an increasing need to document their progress and evaluate their effectiveness. This paper represents a first step towards such empirical research as it aims to provide a conceptual framework for the analysis and assessment of transnational CoPs in health policy. The framework is developed based on the findings of a literature review as well as on our experience, and reflects the specific features and challenges of transnational CoPs in health policy. It organizes the key elements of CoPs into a logical flow that links available resources and the capacity to mobilize them, with knowledge management activities and the expansion of knowledge, with changes in policy and practice and, ultimately, with an improvement in health outcomes. Additionally, the paper addresses the challenges in the operationalization and empirical application of the framework. PMID:24139662

Assessing communities of practice in health policy: a conceptual framework as a first step towards empirical research.

PubMed

Bertone, Maria Paola; Meessen, Bruno; Clarysse, Guy; Hercot, David; Kelley, Allison; Kafando, Yamba; Lange, Isabelle; Pfaffmann, Jérôme; Ridde, Valéry; Sieleunou, Isidore; Witter, Sophie

2013-10-20

Communities of Practice (CoPs) are groups of people that interact regularly to deepen their knowledge on a specific topic. Thanks to information and communication technologies, CoPs can involve experts distributed across countries and adopt a 'transnational' membership. This has allowed the strategy to be applied to domains of knowledge such as health policy with a global perspective. CoPs represent a potentially valuable tool for producing and sharing explicit knowledge, as well as tacit knowledge and implementation practices. They may also be effective in creating links among the different 'knowledge holders' contributing to health policy (e.g., researchers, policymakers, technical assistants, practitioners, etc.). CoPs in global health are growing in number and activities. As a result, there is an increasing need to document their progress and evaluate their effectiveness. This paper represents a first step towards such empirical research as it aims to provide a conceptual framework for the analysis and assessment of transnational CoPs in health policy.The framework is developed based on the findings of a literature review as well as on our experience, and reflects the specific features and challenges of transnational CoPs in health policy. It organizes the key elements of CoPs into a logical flow that links available resources and the capacity to mobilize them, with knowledge management activities and the expansion of knowledge, with changes in policy and practice and, ultimately, with an improvement in health outcomes. Additionally, the paper addresses the challenges in the operationalization and empirical application of the framework.

Exploring knowledge exchange: a useful framework for practice and policy.

PubMed

Ward, Vicky; Smith, Simon; House, Allan; Hamer, Susan

2012-02-01

Knowledge translation is underpinned by a dynamic and social knowledge exchange process but there are few descriptions of how this unfolds in practice settings. This has hampered attempts to produce realistic and useful models to help policymakers and researchers understand how knowledge exchange works. This paper reports the results of research which investigated the nature of knowledge exchange. We aimed to understand whether dynamic and fluid definitions of knowledge exchange are valid and to produce a realistic, descriptive framework of knowledge exchange. Our research was informed by a realist approach. We embedded a knowledge broker within three service delivery teams across a mental health organisation in the UK, each of whom was grappling with specific challenges. The knowledge broker participated in the team's problem-solving process and collected observational fieldnotes. We also interviewed the team members. Observational and interview data were analysed quantitatively and qualitatively in order to determine and describe the nature of the knowledge exchange process in more detail. This enabled us to refine our conceptual framework of knowledge exchange. We found that knowledge exchange can be understood as a dynamic and fluid process which incorporates distinct forms of knowledge from multiple sources. Quantitative analysis illustrated that five broadly-defined components of knowledge exchange (problem, context, knowledge, activities, use) can all be in play at any one time and do not occur in a set order. Qualitative analysis revealed a number of distinct themes which better described the nature of knowledge exchange. By shedding light on the nature of knowledge exchange, our findings problematise some of the linear, technicist approaches to knowledge translation. The revised model of knowledge exchange which we propose here could therefore help to reorient thinking about knowledge exchange and act as a starting point for further exploration and evaluation of the knowledge exchange process. Copyright © 2011 Elsevier Ltd. All rights reserved.

The Framework of Knowledge Creation for Online Learning Environments

ERIC Educational Resources Information Center

Huang, Hsiu­-Mei; Liaw, Shu­-Sheng

2004-01-01

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. Information technology facilitates knowledge…

NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 67: Maximizing the Results of Federally-Funded Research and Development Through Knowledge Management: A Strategic Imperative for Improving US Competitiveness

NASA Technical Reports Server (NTRS)

Pinelli, Thomas E.; Barclay, Rebecca O.

1998-01-01

Federally-funded research and development (R&D) represents a significant annual investment (approximately $79 billion in fiscal year 1996) on the part of U.S. taxpayers. Based on the results of a 10-year study of knowledge diffusion in U.S. aerospace industry, the authors take the position that U.S. competitiveness will be enhanced if knowledge management strategies, employed within a capability-enhancing U.S. technology policy framework, are applied to diffusing the results of federally-funded R&D. In making their case, the authors stress the importance of knowledge as the source of competitive advantage in today's global economy. Next, they offer a practice-based definition of knowledge management and discuss three current approaches to knowledge management implementation-mechanistic, "the learning organization," and systemic. The authors then examine three weaknesses in existing U.S. public policy and policy implementation-the dominance of knowledge creation, the need for diffusion-oriented technology policy, and the prevalence of a dissemination model- that affect diffusion of the results of federally-funded R&D. To address these shortcomings, they propose the development of a knowledge management framework for diffusing the results of federally-funded R&D. The article closes with a discussion of some issues and challenges associated with implementing a knowledge management framework for diffusing the results of federally-funded R&D.

Collaborative Metaliteracy: Putting the New Information Literacy Framework into (Digital) Practice

ERIC Educational Resources Information Center

Gersch, Beate; Lampner, Wendy; Turner, Dudley

2016-01-01

This article describes a course-integrated collaborative project between a subject librarian, a communication professor, and an instructional designer that illustrates how the TPACK (Technological Pedagogical Content Knowledge) framework, developed by Mishra and Koehler (2006), and the new ACRL Framework for Information Literacy (Framework)…

A framework for the continual improvement of behavioral healthcare. Part II--Policy for leadership.

PubMed

Redelheim, P S; Pomeroy, L H; Batalden, P

1994-01-01

In the first part of this article, published in the November/December 1993 issue of Behavioral Healthcare Tomorrow, the authors presented a framework for understanding the process of continuous quality improvement in the behavioral healthcare setting. Four elements of continual improvement were identified: underlying knowledge, policy for leadership, tools and methods, and daily work applications. They showed how traditional professional knowledge of one's subject, discipline and values must be augmented by improvement knowledge--which quality improvement guru W. Edwards Deming calls "the system of profound knowledge." In Part II, they focus on the second element of continual improvement, the importance of organizational leadership.

Lost in Knowledge Translation: Time for a Map?

ERIC Educational Resources Information Center

Graham, Ian D.; Logan, Jo; Harrison, Margaret B.; Straus, Sharon E.; Tetroe, Jacqueline; Caswell, Wenda; Robinson, Nicole

2006-01-01

There is confusion and misunderstanding about the concepts of knowledge translation, knowledge transfer, knowledge exchange, research utilization, implementation, diffusion, and dissemination. We review the terms and definitions used to describe the concept of moving knowledge into action. We also offer a conceptual framework for thinking about…

Domain-Specific Aspects of Technological Pedagogical Content Knowledge: Music Education and the Importance of Affect

ERIC Educational Resources Information Center

Macrides, Elena; Angeli, Charoula

2018-01-01

The present study addresses the lack of a theoretical framework for the integration of technology in music teaching and learning, and explores, within the framework of Technological Pedagogical Content Knowledge (TPACK), the importance of affect in the instructional design of music lessons. The purpose of this study is twofold: (a) to extend the…

Bioenergy Knowledge Discovery Framework Fact Sheet

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

None

The Bioenergy Knowledge Discovery Framework (KDF) supports the development of a sustainable bioenergy industry by providing access to a variety of data sets, publications, and collaboration and mapping tools that support bioenergy research, analysis, and decision making. In the KDF, users can search for information, contribute data, and use the tools and map interface to synthesize, analyze, and visualize information in a spatially integrated manner.

The Normative Structure of Knowledge Production and Utilization in Education: A Report on Work in Progress.

ERIC Educational Resources Information Center

Markley, O. W.

The primary objective of this study is to develop a systems-oriented analytical framework with which to better understand how formal policies serve as regulatory influences on knowledge production and utilization (KPU) in education. When completed, the framework being developed should be able to organize information about the KPU system and its…

From Instructional Systems Design to Managing the Life Cycle of Knowledge in Organizations

ERIC Educational Resources Information Center

Salisbury, Mark

2008-01-01

This article describes a framework for managing the life cycle of knowledge in organizations. The framework emerges from years of work with the laboratories and facilities that are under the direction of the U.S. Department of Energy (DOE). The article begins by describing the instructional systems design (ISD) process and how it is used to…

Extending the psycho-historical framework to understand artistic production.

PubMed

Kozbelt, Aaron; Ostrofsky, Justin

2013-04-01

We discuss how the psycho-historical framework can be profitably applied to artistic production, facilitating a synthesis of perception-based and knowledge-based perspectives on realistic observational drawing. We note that artists' technical knowledge itself constitutes a major component of an artwork's historical context, and that links between artistic practice and psychological theory may yet yield conclusions in line with universalist perspectives.

Knowledge, instruction and behavioural change: building a framework for effective eczema education in clinical practice.

PubMed

Thompson, Deryn Lee; Thompson, Murray John

2014-11-01

A discussion on the reasons educational interventions about eczema, by nurses, are successful, with the subsequent development of a theoretical framework to guide nurses to become effective patient educators. Effective child and parent education is the key to successful self-management of eczema. When diagnosed, children and parents should learn to understand the condition through clear explanations, seeing treatment demonstrations and have ongoing support to learn practical skills to control eczema. Dermatology nurses provide these services, but no one has proposed a framework of the concepts underpinning their successful eczema educational interventions. A discussion paper. A literature search of online databases was undertaken utilizing terms 'eczema OR atopic dermatitis', 'education', 'parent', 'nurs*', 'framework', 'knowledge', motivation', in Scopus, CINAHL, Web of Science, Medline and Pubmed. Limits were English language and 2003-2013. The framework can inform discussion on child and parent education, provide a scaffold for future research and guide non-specialist nurses, internationally, in providing consistent patient education about eczema. Founded on an understanding of knowledge, the framework utilizes essential elements of cognitive psychology and social cognitive theory leading to successful self-management of eczema. This framework may prove useful as a basis for future research in child and parent education, globally, in the healthcare community. A framework has been created to help nurses understand the essential elements of the learning processes at the foundation of effective child and parent education. The framework serves to explain the improved outcomes reported in previous nurse-led eczema educational interventions. © 2014 The Authors. Journal of Advanced Nursing Published by John Wiley & Sons Ltd.

Self organising hypothesis networks: a new approach for representing and structuring SAR knowledge

PubMed Central

2014-01-01

Background Combining different sources of knowledge to build improved structure activity relationship models is not easy owing to the variety of knowledge formats and the absence of a common framework to interoperate between learning techniques. Most of the current approaches address this problem by using consensus models that operate at the prediction level. We explore the possibility to directly combine these sources at the knowledge level, with the aim to harvest potentially increased synergy at an earlier stage. Our goal is to design a general methodology to facilitate knowledge discovery and produce accurate and interpretable models. Results To combine models at the knowledge level, we propose to decouple the learning phase from the knowledge application phase using a pivot representation (lingua franca) based on the concept of hypothesis. A hypothesis is a simple and interpretable knowledge unit. Regardless of its origin, knowledge is broken down into a collection of hypotheses. These hypotheses are subsequently organised into hierarchical network. This unification permits to combine different sources of knowledge into a common formalised framework. The approach allows us to create a synergistic system between different forms of knowledge and new algorithms can be applied to leverage this unified model. This first article focuses on the general principle of the Self Organising Hypothesis Network (SOHN) approach in the context of binary classification problems along with an illustrative application to the prediction of mutagenicity. Conclusion It is possible to represent knowledge in the unified form of a hypothesis network allowing interpretable predictions with performances comparable to mainstream machine learning techniques. This new approach offers the potential to combine knowledge from different sources into a common framework in which high level reasoning and meta-learning can be applied; these latter perspectives will be explored in future work. PMID:24959206

A knowledge engineering framework towards clinical support for adverse drug event prevention: the PSIP approach.

PubMed

Koutkias, Vassilis; Stalidis, George; Chouvarda, Ioanna; Lazou, Katerina; Kilintzis, Vassilis; Maglaveras, Nicos

2009-01-01

Adverse Drug Events (ADEs) are currently considered as a major public health issue, endangering patients' safety and causing significant healthcare costs. Several research efforts are currently concentrating on the reduction of preventable ADEs by employing Information Technology (IT) solutions, which aim to provide healthcare professionals and patients with relevant knowledge and decision support tools. In this context, we present a knowledge engineering approach towards the construction of a Knowledge-based System (KBS) regarded as the core part of a CDSS (Clinical Decision Support System) for ADE prevention, all developed in the context of the EU-funded research project PSIP (Patient Safety through Intelligent Procedures in Medication). In the current paper, we present the knowledge sources considered in PSIP and the implications they pose to knowledge engineering, the methodological approach followed, as well as the components defining the knowledge engineering framework based on relevant state-of-the-art technologies and representation formalisms.

Framework Support For Knowledge-Based Software Development

NASA Astrophysics Data System (ADS)

Huseth, Steve

1988-03-01

The advent of personal engineering workstations has brought substantial information processing power to the individual programmer. Advanced tools and environment capabilities supporting the software lifecycle are just beginning to become generally available. However, many of these tools are addressing only part of the software development problem by focusing on rapid construction of self-contained programs by a small group of talented engineers. Additional capabilities are required to support the development of large programming systems where a high degree of coordination and communication is required among large numbers of software engineers, hardware engineers, and managers. A major player in realizing these capabilities is the framework supporting the software development environment. In this paper we discuss our research toward a Knowledge-Based Software Assistant (KBSA) framework. We propose the development of an advanced framework containing a distributed knowledge base that can support the data representation needs of tools, provide environmental support for the formalization and control of the software development process, and offer a highly interactive and consistent user interface.

Structural and Informal Knowledge Acquisition and Dissemination in Organizational Learning: An Exploratory Analysis

ERIC Educational Resources Information Center

Hoe, Siu Loon; McShane, Steven

2010-01-01

Purpose: The topic of organizational learning is populated with many theories and models; many relate to the enduring organizational learning framework consisting of knowledge acquisition, knowledge dissemination, and knowledge use. However, most of the research either emphasizes structural knowledge acquisition and dissemination as a composite…

Sociospatial Knowledge Networks: Appraising Community as Place.

ERIC Educational Resources Information Center

Skelly, Anne H.; Arcury, Thomas A.; Gesler, Wilbert M.; Cravey, Altha J.; Dougherty, Molly C.; Washburn, Sarah A.; Nash, Sally

2002-01-01

A new theory of geographical analysis--sociospatial knowledge networks--provides a framework for understanding the social and spatial locations of a community's health knowledge and beliefs. This theory is guiding an ethnographic study of health beliefs, knowledge, and knowledge networks in a diverse rural community at high risk for type-2…

Measuring and Visualizing Group Knowledge Elaboration in Online Collaborative Discussions

ERIC Educational Resources Information Center

Zheng, Yafeng; Xu, Chang; Li, Yanyan; Su, You

2018-01-01

Knowledge elaboration plays a critical role in promoting knowledge acquisition and facilitating the retention of target knowledge in online collaborative discussions. Adopting a key-term-based automated analysis approach, we proposed an indicator framework to measure the level of knowledge elaboration in terms of coverage, activation, and…

Leadership emergence: the application of the Cynefin framework during a bio-social HIV/AIDS risk-reduction pilot.

PubMed

Burman, Christopher J; Aphane, Marota A

2016-09-01

This article focuses on the utility of a knowledge management heuristic called the Cynefin framework, which was applied during an ongoing pilot intervention in the Limpopo province, South Africa. The intervention aimed to identify and then consolidate low-cost, innovative bio-social responses to reinforce the biomedical opportunities that now have the potential to "end AIDS by 2030″. The Cynefin framework is designed to enable leaders to identify specific decision-making domain typologies as a mechanism to maximise the effectiveness of leadership responses to both opportunities and challenges that emerge during interventions. In this instance the Cynefin framework was used to: (1) provide an indication to the project managers whether the early stages of the intervention had been effective; (2) provide the participants an opportunity to identify emergent knowledge action spaces (opportunities and challenges); and (3) categorise them into appropriate decision-making domains in preparation for the next phases of the intervention. A qualitative methodology was applied to collect and analyse the findings. The findings indicate that applying the Cynefin framework enabled the participants to situate knowledge action spaces into appropriate decision-making domains. From this participatory evaluation a targeted management strategy was developed for the next phases of the initiative. The article concludes by arguing that the Cynefin framework was an effective mechanism for situating emergent knowledge action spaces into appropriate decision-making domains, which enabled them to prepare for the next phases of the intervention. This process of responsive decision making could have utility in other development related interventions.

A knowledge transfer scheme to bridge the gap between science and practice: an integration of existing research frameworks into a tool for practice.

PubMed

Verhagen, Evert; Voogt, Nelly; Bruinsma, Anja; Finch, Caroline F

2014-04-01

Evidence of effectiveness does not equal successful implementation. To progress the field, practical tools are needed to bridge the gap between research and practice and to truly unite effectiveness and implementation evidence. This paper describes the Knowledge Transfer Scheme integrating existing implementation research frameworks into a tool which has been developed specifically to bridge the gap between knowledge derived from research on the one side and evidence-based usable information and tools for practice on the other.

KNODWAT: A scientific framework application for testing knowledge discovery methods for the biomedical domain

PubMed Central

2013-01-01

Background Professionals in the biomedical domain are confronted with an increasing mass of data. Developing methods to assist professional end users in the field of Knowledge Discovery to identify, extract, visualize and understand useful information from these huge amounts of data is a huge challenge. However, there are so many diverse methods and methodologies available, that for biomedical researchers who are inexperienced in the use of even relatively popular knowledge discovery methods, it can be very difficult to select the most appropriate method for their particular research problem. Results A web application, called KNODWAT (KNOwledge Discovery With Advanced Techniques) has been developed, using Java on Spring framework 3.1. and following a user-centered approach. The software runs on Java 1.6 and above and requires a web server such as Apache Tomcat and a database server such as the MySQL Server. For frontend functionality and styling, Twitter Bootstrap was used as well as jQuery for interactive user interface operations. Conclusions The framework presented is user-centric, highly extensible and flexible. Since it enables methods for testing using existing data to assess suitability and performance, it is especially suitable for inexperienced biomedical researchers, new to the field of knowledge discovery and data mining. For testing purposes two algorithms, CART and C4.5 were implemented using the WEKA data mining framework. PMID:23763826

KNODWAT: a scientific framework application for testing knowledge discovery methods for the biomedical domain.

PubMed

Holzinger, Andreas; Zupan, Mario

2013-06-13

Professionals in the biomedical domain are confronted with an increasing mass of data. Developing methods to assist professional end users in the field of Knowledge Discovery to identify, extract, visualize and understand useful information from these huge amounts of data is a huge challenge. However, there are so many diverse methods and methodologies available, that for biomedical researchers who are inexperienced in the use of even relatively popular knowledge discovery methods, it can be very difficult to select the most appropriate method for their particular research problem. A web application, called KNODWAT (KNOwledge Discovery With Advanced Techniques) has been developed, using Java on Spring framework 3.1. and following a user-centered approach. The software runs on Java 1.6 and above and requires a web server such as Apache Tomcat and a database server such as the MySQL Server. For frontend functionality and styling, Twitter Bootstrap was used as well as jQuery for interactive user interface operations. The framework presented is user-centric, highly extensible and flexible. Since it enables methods for testing using existing data to assess suitability and performance, it is especially suitable for inexperienced biomedical researchers, new to the field of knowledge discovery and data mining. For testing purposes two algorithms, CART and C4.5 were implemented using the WEKA data mining framework.

The Framework for the National Assessment of Educational Progress in Civics. ERIC Digest.

ERIC Educational Resources Information Center

Patrick, John J.

This digest briefly summarizes the contents of the "Civics Framework for the 1998 National Assessment of Educational Progress" in terms of the Framework's development and components including civic knowledge, civic skills, and civic dispositions. The framework may be used to inform and guide curriculum development projects in civics and…

The European Qualification Framework: Skills, Competences or Knowledge?

ERIC Educational Resources Information Center

Mehaut, Philippe; Winch, Christopher

2012-01-01

The European Qualification Framework (EQF) is intended to transform European national qualification frameworks (NQFs) by moulding them into a learning outcomes framework. Currently adopted as an enabling law by the European Union, the EQF has now operated for several years. In order to secure widespread adoption, however, it will be necessary for…

Implementation of Knowledge Management in Organizations

ERIC Educational Resources Information Center

Winkler, Katrin; Mandl, Heinz

2007-01-01

In the context of learning implementation of new ideas e.g. knowledge management in organizations often is neglected. Concerning knowledge management measures we demonstrate its implementation in organizations. A theoretical framework was developed showing the necessary basic conditions for implementing knowledge management. Subsequently we…

The BioIntelligence Framework: a new computational platform for biomedical knowledge computing

PubMed Central

Farley, Toni; Kiefer, Jeff; Lee, Preston; Von Hoff, Daniel; Trent, Jeffrey M; Colbourn, Charles

2013-01-01

Breakthroughs in molecular profiling technologies are enabling a new data-intensive approach to biomedical research, with the potential to revolutionize how we study, manage, and treat complex diseases. The next great challenge for clinical applications of these innovations will be to create scalable computational solutions for intelligently linking complex biomedical patient data to clinically actionable knowledge. Traditional database management systems (DBMS) are not well suited to representing complex syntactic and semantic relationships in unstructured biomedical information, introducing barriers to realizing such solutions. We propose a scalable computational framework for addressing this need, which leverages a hypergraph-based data model and query language that may be better suited for representing complex multi-lateral, multi-scalar, and multi-dimensional relationships. We also discuss how this framework can be used to create rapid learning knowledge base systems to intelligently capture and relate complex patient data to biomedical knowledge in order to automate the recovery of clinically actionable information. PMID:22859646

The Framework of a Generic DProf Programme--A Reflection on Its Design, the Relational Dimension for Candidates and Advisers and the Potential for Knowledge Co-Creation

ERIC Educational Resources Information Center

Fillery-Travis, Annette Jayne

2014-01-01

This paper critically engages with the pedagogical design of a generic professional doctorate programme as a framework for creation of actionable knowledge within the practice of both adviser and candidate. Within this exploration the relational dimensions of the adviser-candidate interaction are identified and their potential impact partially…

The enhanced knowledge translation and exchange framework for road safety: a brief report on its development and potential impacts.

PubMed

Hinchcliff, Reece; Senserrick, Teresa; Travaglia, Joanne; Greenfield, David; Ivers, Rebecca

2017-04-01

Knowledge translation and exchange (KTE) can enable evidence-informed road safety policy and practice by reducing the gap between what is known to be effective and what actually occurs. A quality improvement project, undertaken within a government policy frame, was implemented in 2015 to produce an enhanced KTE framework for road safety (the framework). Information was collected from 35 road safety stakeholders in the UK, the Netherlands, Norway and Sweden. Thirteen KTE facilitators were identified that covered research funding and production, the expertise of knowledge users and dissemination practices. The framework was subsequently developed, which separated facilitators seen as essential for a KTE system, from others perceived as aspirational due to their lesser influence and the considerable time and resources required for their implementation. The framework provides a heuristic device to enable policy agencies to holistically assess and improve current KTE systems for road safety, to encourage evidence-informed policy and practice. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Advanced techniques for the storage and use of very large, heterogeneous spatial databases. The representation of geographic knowledge: Toward a universal framework. [relations (mathematics)

NASA Technical Reports Server (NTRS)

Peuquet, Donna J.

1987-01-01

A new approach to building geographic data models that is based on the fundamental characteristics of the data is presented. An overall theoretical framework for representing geographic data is proposed. An example of utilizing this framework in a Geographic Information System (GIS) context by combining artificial intelligence techniques with recent developments in spatial data processing techniques is given. Elements of data representation discussed include hierarchical structure, separation of locational and conceptual views, and the ability to store knowledge at variable levels of completeness and precision.

Central Component Descriptors for Levels of Technological Pedagogical Content Knowledge

ERIC Educational Resources Information Center

Niess, Margaret L.

2013-01-01

Technological pedagogical content knowledge (TPACK) proposes a theoretical framework that incorporates four central components: an overarching conception of what it means to teach with technology, knowledge of students' thinking and understandings of specific topics with technologies, knowledge of curricular materials that incorporate…

Investigating TPACK: Knowledge Growth in Teaching with Technology

ERIC Educational Resources Information Center

Niess, Margaret L.

2011-01-01

Technological pedagogical and content knowledge (TPACK) presents a dynamic framework for describing teachers' knowledge required for designing, implementing, and evaluating curriculum and instruction with technology. TPACK strategic thinking includes knowing when, where, and how to use domain-specific knowledge and strategies for guiding students'…

From data towards knowledge: revealing the architecture of signaling systems by unifying knowledge mining and data mining of systematic perturbation data.

PubMed

Lu, Songjian; Jin, Bo; Cowart, L Ashley; Lu, Xinghua

2013-01-01

Genetic and pharmacological perturbation experiments, such as deleting a gene and monitoring gene expression responses, are powerful tools for studying cellular signal transduction pathways. However, it remains a challenge to automatically derive knowledge of a cellular signaling system at a conceptual level from systematic perturbation-response data. In this study, we explored a framework that unifies knowledge mining and data mining towards the goal. The framework consists of the following automated processes: 1) applying an ontology-driven knowledge mining approach to identify functional modules among the genes responding to a perturbation in order to reveal potential signals affected by the perturbation; 2) applying a graph-based data mining approach to search for perturbations that affect a common signal; and 3) revealing the architecture of a signaling system by organizing signaling units into a hierarchy based on their relationships. Applying this framework to a compendium of yeast perturbation-response data, we have successfully recovered many well-known signal transduction pathways; in addition, our analysis has led to many new hypotheses regarding the yeast signal transduction system; finally, our analysis automatically organized perturbed genes as a graph reflecting the architecture of the yeast signaling system. Importantly, this framework transformed molecular findings from a gene level to a conceptual level, which can be readily translated into computable knowledge in the form of rules regarding the yeast signaling system, such as "if genes involved in the MAPK signaling are perturbed, genes involved in pheromone responses will be differentially expressed."

Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation.

PubMed

Jenkins, Emily K; Kothari, Anita; Bungay, Vicky; Johnson, Joy L; Oliffe, John L

2016-08-30

Much of the research and theorising in the knowledge translation (KT) field has focused on clinical settings, providing little guidance to those working in community settings. In this study, we build on previous research in community-based KT by detailing the theory driven and empirically-informed CollaboraKTion framework. A case study design and ethnographic methods were utilised to gain an in-depth understanding of the processes for conducting a community-based KT study as a means to distilling the CollaboraKTion framework. Drawing on extensive field notes describing fieldwork observations and interactions as well as evidence from the participatory research and KT literature, we detail the processes and steps undertaken in this community-based KT study as well as their rationale and the challenges encountered. In an effort to build upon existing knowledge, Kitson and colleagues' co-KT framework, which provides guidance for conducting KT aimed at addressing population-level health, was applied as a coding structure to inform the current analysis. This approach was selected because it (1) supported the application of an existing community-based KT framework to empirical data and (2) provided an opportunity to contribute to the theory and practice gaps in the community-based KT literature through an inductively derived empirical example. Analysis revealed that community-based KT is an iterative process that can be viewed as comprising five overarching processes: (1) contacting and connecting; (2) deepening understandings; (3) adapting and applying the knowledge base; (4) supporting and evaluating continued action; and (5) transitioning and embedding as well as several key elements within each of these processes (e.g. building on existing knowledge, establishing partnerships). These empirically informed theory advancements in KT and participatory research traditions are summarised in the CollaboraKTion framework. We suggest that community-based KT researchers place less emphasis on enhancing uptake of specific interventions and focus on collaboratively identifying and creating changes to the contextual factors that influence health outcomes. The CollaboraKTion framework can be used to guide the development, implementation and evaluation of contextually relevant, evidence-informed initiatives aimed at improving population health, amid providing a foundation to leverage future research and practice in this emergent KT area.

Development of a framework to improve the utilisation of malaria research for policy development in Malawi.

PubMed

Mwendera, Chikondi; de Jager, Christiaan; Longwe, Herbert; Hongoro, Charles; Phiri, Kamija; Mutero, Clifford M

2017-11-21

The existing gap between research evidence and public health practice has attributed to the unmet Millennium Development Goals in Africa and consequently, has stimulated the development of frameworks to enhance knowledge translation. These efforts aim at maximising health research utilisation in policy and practice to address the world's disease burdens, including malaria. This study aimed at developing a contextual framework to improve the utilisation of malaria research for policy development in Malawi. The study used two approaches including: two case studies of policy analysis exploring the policy-making process in Malawi, utilisation of local malaria research, and the role of key stakeholders in policy formulation process; and the assessment of facilitating factors and barriers to malaria research utilisation for policy-making in Malawi. From the case studies' lessons and elements identified during the assessment of facilitating factors and barriers, a framework is developed to promote an integrated approach to knowledge translation. In this framework the Ministry of Health is considered as the main user of knowledge from research through the demand created by the research directorate and the National Malaria Control Programme. Key documents identified as being particularly relevant to the Ministry of Health for purposes of knowledge translation include the National Health Research Agenda, Guidelines for Policy Development and Analysis, and Guidelines for Evidence Use in Policy-making. Institutions conducting academic and policy-relevant malaria research in Malawi are identified and a consolidation of their linkages with the users of research is established through the Knowledge Translation Unit, the Evidence Informed decision-making Centre, and the African Institute for Development Policy. Equally, key players in this framework are the funding partners for both research and programmes that need to see accountability and impact of their support. Independent advisors, partners, and consultants also have their vital role in the process. The framework offers a practical basis for the factors identified and their linkages to promote a co-ordinated approach to malaria research utilisation in policy-making. Its applicability and success hinges on its wider dissemination and ownership by the government through the National Malaria Control Programme.

Contextualising Vocational Knowledge: A Theoretical Framework and Illustrations from Culinary Education

ERIC Educational Resources Information Center

Heusdens, W. T.; Bakker, A.; Baartman, L. K. J.; De Bruijn, E.

2016-01-01

The nature of knowledge in vocational education is often described in dichotomies such as theory versus practice or general versus specific. Although different scholars now acknowledge that vocational knowledge is more than putting bits of theoretical and practical knowledge together, it is still unclear how vocational knowledge should be…

CReaTE Excellence: Using a Teacher Framework to Maximize STEM Learning with Your Child

ERIC Educational Resources Information Center

Tassell, Janet; Maxwell, Margaret; Stobaugh, Rebecca

2013-01-01

Gifted children crave meaning through learning experiences, and they are naturally inquisitive. This article provides a teaching framework that parents can adapt for use with gifted children to help facilitate STEM knowledge and skills. The CReaTE Framework, adapted from an evolving lesson plan framework, can promote learning in a nontraditional,…

Theoretical frameworks used to discuss ethical issues in private physiotherapy practice and proposal of a new ethical tool.

PubMed

Drolet, Marie-Josée; Hudon, Anne

2015-02-01

In the past, several researchers in the field of physiotherapy have asserted that physiotherapy clinicians rarely use ethical knowledge to solve ethical issues raised by their practice. Does this assertion still hold true? Do the theoretical frameworks used by researchers and clinicians allow them to analyze thoroughly the ethical issues they encounter in their everyday practice? In our quest for answers, we conducted a literature review and analyzed the ethical theoretical frameworks used by physiotherapy researchers and clinicians to discuss the ethical issues raised by private physiotherapy practice. Our final analysis corpus consisted of thirty-nine texts. Our main finding is that researchers and clinicians in physiotherapy rarely use ethical knowledge to analyze the ethical issues raised in their practice and that gaps exist in the theoretical frameworks currently used to analyze these issues. Consequently, we developed, for ethical analysis, a four-part prism which we have called the Quadripartite Ethical Tool (QET). This tool can be incorporated into existing theoretical frameworks to enable professionals to integrate ethical knowledge into their ethical analyses. The innovative particularity of the QET is that it encompasses three ethical theories (utilitarism, deontologism, and virtue ethics) and axiological ontology (professional values) and also draws on both deductive and inductive approaches. It is our hope that this new tool will help researchers and clinicians integrate ethical knowledge into their analysis of ethical issues and contribute to fostering ethical analyses that are grounded in relevant philosophical and axiological foundations.

Knowledge of Curriculum Embedded Mathematics: Exploring a Critical Domain of Teaching

ERIC Educational Resources Information Center

Remillard, Janine; Kim, Ok-Kyeong

2017-01-01

This paper proposes a framework for identifying the mathematical knowledge teachers activate when using curriculum resources. We use the term "knowledge of curriculum embedded mathematics" (KCEM) to refer to the mathematics knowledge activated by teachers when reading and interpreting mathematical tasks, instructional designs, and…

Background Knowledge in Learning-Based Relation Extraction

ERIC Educational Resources Information Center

Do, Quang Xuan

2012-01-01

In this thesis, we study the importance of background knowledge in relation extraction systems. We not only demonstrate the benefits of leveraging background knowledge to improve the systems' performance but also propose a principled framework that allows one to effectively incorporate knowledge into statistical machine learning models for…

Developing a Framework For Managing Knowledge in Enterprises.

ERIC Educational Resources Information Center

du Toit, Adeline

1999-01-01

Discusses the strategic management of knowledge assets for competitive advantage in enterprises. Presents an integrative, systematic approach that can be followed in order to improve the business value of the knowledge assets of an enterprise. (Author/AEF)

Measuring Intangible Assets: Assessing the Impact of Knowledge Management in the S&T Fight Against Terrorism

DTIC Science & Technology

2009-12-01

standards for assessing the value of intangible assets or intellectual capital. Historically, a number of frameworks have evolved, each with a ...different focus and a different assessment methodology. In order to assess that knowledge management initiatives contributed to the fight against...terrorism in Canada, a results-based framework was selected, customized and applied to CRTI ( a networked science and technology program to counter

Heat-Passing Framework for Robust Interpretation of Data in Networks

PubMed Central

Fang, Yi; Sun, Mengtian; Ramani, Karthik

2015-01-01

Researchers are regularly interested in interpreting the multipartite structure of data entities according to their functional relationships. Data is often heterogeneous with intricately hidden inner structure. With limited prior knowledge, researchers are likely to confront the problem of transforming this data into knowledge. We develop a new framework, called heat-passing, which exploits intrinsic similarity relationships within noisy and incomplete raw data, and constructs a meaningful map of the data. The proposed framework is able to rank, cluster, and visualize the data all at once. The novelty of this framework is derived from an analogy between the process of data interpretation and that of heat transfer, in which all data points contribute simultaneously and globally to reveal intrinsic similarities between regions of data, meaningful coordinates for embedding the data, and exemplar data points that lie at optimal positions for heat transfer. We demonstrate the effectiveness of the heat-passing framework for robustly partitioning the complex networks, analyzing the globin family of proteins and determining conformational states of macromolecules in the presence of high levels of noise. The results indicate that the methodology is able to reveal functionally consistent relationships in a robust fashion with no reference to prior knowledge. The heat-passing framework is very general and has the potential for applications to a broad range of research fields, for example, biological networks, social networks and semantic analysis of documents. PMID:25668316

The knowledge-based framework for a nuclear power plant operator advisor

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

Miller, D.W.; Hajek, B.K.

1989-01-01

An important facet in the design, development, and evaluation of aids for complex systems is the identification of the tasks performed by the operator. Operator aids utilizing artificial intelligence, or more specifically knowledge-based systems, require identification of these tasks in the context of a knowledge-based framework. In this context, the operator responses to the plant behavior are to monitor and comprehend the state of the plant, identify normal and abnormal plant conditions, diagnose abnormal plant conditions, predict plant response to specific control actions, and select the best available control action, implement a feasible control action, monitor system response to themore » control action, and correct for any inappropriate responses. These tasks have been identified to formulate a knowledge-based framework for an operator advisor under development at Ohio State University that utilizes the generic task methodology proposed by Chandrasekaran. The paper lays the foundation to identify the responses as a knowledge-based set of tasks in accordance with the expected human operator responses during an event. Initial evaluation of the expert system indicates the potential for an operator aid that will improve the operator's ability to respond to both anticipated and unanticipated events.« less

A conceptual framework for teaching research in nursing.

PubMed

Wright, S C D

2005-08-01

Though research is often referred to the lifeblood, hallmark or cornerstone in the development of a profession (Brink, 1996:2), teaching research in nursing is a challenge. The challenge does not just lie in teaching the subject, but in resistance and unwillingness of students to engage in the subject. In the experience of the researcher, registered nurses identify themselves with being a nurse and a caregiver; the role of researcher has never been internalised. The challenge is to achieve the outcome envisaged, namely, nurses who are knowledgeable consumers of research as well as continuous productive scholars in their application of nursing. Research generates knowledge and knowledge is the basis of caring with excellence. Nursing is an art and a science and the science must produce the knowledge upon which the art is based. The purpose of this article is to propose a conceptual framework of how to teach research in order to achieve such a successful outcome. The conceptual framework proposed in this article is based on four pillars, theoretical knowledge of research, scientific writing, psychological support and experiential learning. The importance of the research facilitator, not just as a teacher but also as a positive role model, is also described.

Methods to Succeed in Effective Knowledge Translation in Clinical Practice.

PubMed

Kitson, Alison L; Harvey, Gillian

2016-05-01

To explore the evidence around facilitation as an intervention for the successful implementation of new knowledge into clinical practice. The revised version of the Promoting Action on Research Implementation in Health Services (PARIHS) framework, called the integrated or i-PARIHS framework, is used as the explanatory framework. This framework posits that evidence is a multidimensional construct embedded within innovation and operationalized by clinicians (individuals and within teams), working across multiple layers of context. Facilitation is the active ingredient that promotes successful implementation. An emerging body of evidence supports facilitation as a mechanism to getting new knowledge into clinical practice. Facilitation roles are divided into beginner, experienced, and expert facilitators. Facilitators can be internal or external to the organization they work in, and their skills and attributes complement other knowledge translation (KT) roles. Complex KT projects require facilitators who are experienced in implementation methods. Facilitation is positioned as the active ingredient to effectively introduce new knowledge into a clinical setting. Levels of facilitation experience are assessed in relation to the complexity of the KT task. Three core facilitation roles are identified, and structured interventions are established taking into account the nature and novelty of the evidence, the receptiveness of the clinicians, and the context or setting where the new evidence is to be introduced. Roles such as novice, experienced, and expert facilitators have important and complementary parts to play in enabling the successful translation of evidence into everyday practice in order to provide effective care for patients. © 2016 Sigma Theta Tau International.

Transforming practice into clinical scholarship.

PubMed

Limoges, Jacqueline; Acorn, Sonia

2016-04-01

The aims of this paper were to explicate clinical scholarship as synonymous with the scholarship of application and to explore the evolution of scholarly practice to clinical scholarship. Boyer contributed an expanded view of scholarship that recognized various approaches to knowledge production beyond pure research (discovery) to include the scholarship of integration, application and teaching. There is growing interest in using Boyer's framework to advance knowledge production in nursing but the discussion of clinical scholarship in relation to Boyer's framework is sparse. Discussion paper. Literature from 1983-2015 and Boyer's framework. When clinical scholarship is viewed as a synonym for Boyer's scholarship of application, it can be aligned to this well established framework to support knowledge generated in clinical practice. For instance, applying the three criteria for scholarship (documentation, peer review and dissemination) can ensure that the knowledge produced is rigorous, available for critique and used by others to advance nursing practice and patient care. Understanding the differences between scholarly practice and clinical scholarship can promote the development of clinical scholarship. Supporting clinical leaders to identify issues confronting nursing practice can enable scholarly practice to be transformed into clinical scholarship. Expanding the understanding of clinical scholarship and linking it to Boyer's scholarship of application can assist nurses to generate knowledge that addresses clinical concerns. Further dialogue about how clinical scholarship can address the theory-practice gap and how publication of clinical scholarship could be expanded given the goals of clinical scholarship is warranted. © 2016 John Wiley & Sons Ltd.

Integrating Relational Reasoning and Knowledge Revision during Reading

ERIC Educational Resources Information Center

Kendeou, Panayiota; Butterfuss, Reese; Van Boekel, Martin; O'Brien, Edward J.

2017-01-01

Our goal in this theoretical contribution is to connect research on knowledge revision and relational reasoning. To achieve this goal, first, we review the "knowledge revision components framework" (KReC) that provides an account of knowledge revision processes, specifically as they unfold during reading of texts. Second, we review a…

Schools as Knowledge-Building Organizations: Thirty Years of Design Research

ERIC Educational Resources Information Center

Chen, Bodong; Hong, Huang-Yao

2016-01-01

In this article we review the Knowledge-Building literature, unpacking its conceptual framework, principle-based pedagogy, distinctive features, and issues regarding scalability and sustainability. The Knowledge-Building goal is to reframe education as a knowledge-creating enterprise, engaging students from the earliest years of schooling. Despite…

Foundation Content Knowledge: What Do Pre-Service Teachers Need to Know?

ERIC Educational Resources Information Center

Linsell, Chris; Anakin, Megan

2013-01-01

The mathematics content knowledge of pre-service teachers is a growing area of inquiry. This topic requires further theoretical development due to the limited applicability of current cognitive and practice-oriented frameworks of mathematics content knowledge to beginning pre-service teachers. Foundation content knowledge is an integrated,…

Assessing the Science Knowledge of University Students: Perils, Pitfalls and Possibilities

ERIC Educational Resources Information Center

Jones, Susan M.

2014-01-01

Science content knowledge is internationally regarded as a fundamentally important learning outcome for graduates of bachelor level science degrees: the Science Threshold Learning Outcomes (TLOs) recently adopted in Australia as a nationally agreed framework include "Science Knowledge" as TLO 2. Science knowledge is commonly assessed…

Teacher Education: Considerations for a Knowledge Base Framework.

ERIC Educational Resources Information Center

Tumposky, Nancy

Traditionally, the knowledge base has been defined more as product than process and has encompassed definitions, principles, values, and facts. Recent reforms in teaching and teacher education have brought about efforts to redefine the knowledge base. The reconceptualized knowledge base builds upon the earlier model but gives higher priority to…

Mathematics University Teachers' Perception of Pedagogical Content Knowledge (PCK)

ERIC Educational Resources Information Center

Khakbaz, Azimehsadat

2016-01-01

Teaching mathematics in university levels is one of the most important fields of research in the area of mathematics education. Nevertheless, there is little information about teaching knowledge of mathematics university teachers. Pedagogical content knowledge (PCK) provides a suitable framework to study knowledge of teachers. The purpose of this…

Applying Knowledge to Generate Action: A Community-Based Knowledge Translation Framework

ERIC Educational Resources Information Center

Campbell, Barbara

2010-01-01

Introduction: Practical strategies are needed to translate research knowledge between researchers and users into action. For effective translation to occur, researchers and users should partner during the research process, recognizing the impact that knowledge, when translated into practice, will have on those most affected by that research.…

What Knowledge Is of Most Worth: Teacher Knowledge for 21st Century Learning

ERIC Educational Resources Information Center

Kereluik, Kristen; Mishra, Punya; Fahnoe, Chris; Terry, Laura

2013-01-01

This article offers a critical review of the literature on 21st century knowledge frameworks, with a particular focus on what this means for teachers and teacher educators. The authors accomplish this by identifying common themes and knowledge domains in 15 reports, books, and articles that describe the kinds of knowledge that researchers state…

Knowledge Diffusion in the Context of Development in Rural Areas. Keynote Address.

ERIC Educational Resources Information Center

Martinez-Brawley, Emilia E.

This paper analyzes principles of knowledge diffusion and provides a framework for applying new ideas or innovations, particularly in relation to rural community development. As new knowledge is created or old knowledge is found to have new applications, the art of spreading knowledge and managing innovation has become more crucial in both urban…

Framework for measuring adaptive knowledge-rich systems performance.

PubMed

Bushko, Renata G

2005-01-01

The universe is non repeatable in nature--most of events cannot be prestated and do not repeat themselves. The only way to create systems that are truly useful is to make them adaptive (able to reason by analogy and learn) and rich in knowledge (including common sense knowledge). Adaptive and knowledge-rich health management could get us closer to errorless health care where small incremental adjustments happen all the time preventing occurrence of an error. In the era of adaptive systems we need to have a way to evaluate their performance. Are they truly adaptive? How adaptive are they? Are they accurate enough? Are they fast enough? Are they cost effective? This chapter presents general framework for measuring adaptive knowledge-rich systems' performance and includes among others definitions of adaptiveness factor, britt (a unit of brittleness) and uso-quant (unit of usefulness of a piece of knowledge). Measuring adaptive knowledge-rich systems performance is one of the most important research areas that can have a big pay-off in healthcare now and in the future.

The Service Environment for Enhanced Knowledge and Research (SEEKR) Framework

NASA Astrophysics Data System (ADS)

King, T. A.; Walker, R. J.; Weigel, R. S.; Narock, T. W.; McGuire, R. E.; Candey, R. M.

2011-12-01

The Service Environment for Enhanced Knowledge and Research (SEEKR) Framework is a configurable service oriented framework to enable the discovery, access and analysis of data shared in a community. The SEEKR framework integrates many existing independent services through the use of web technologies and standard metadata. Services are hosted on systems by using an application server and are callable by using REpresentational State Transfer (REST) protocols. Messages and metadata are transferred with eXtensible Markup Language (XML) encoding which conform to a published XML schema. Space Physics Archive Search and Extract (SPASE) metadata is central to utilizing the services. Resources (data, documents, software, etc.) are described with SPASE and the associated Resource Identifier is used to access and exchange resources. The configurable options for the service can be set by using a web interface. Services are packaged as web application resource (WAR) files for direct deployment on application services such as Tomcat or Jetty. We discuss the composition of the SEEKR framework, how new services can be integrated and the steps necessary to deploying the framework. The SEEKR Framework emerged from NASA's Virtual Magnetospheric Observatory (VMO) and other systems and we present an overview of these systems from a SEEKR Framework perspective.

Novel organisms: comparing invasive species, GMOs, and emerging pathogens.

PubMed

Jeschke, Jonathan M; Keesing, Felicia; Ostfeld, Richard S

2013-09-01

Invasive species, range-expanding species, genetically modified organisms (GMOs), synthetic organisms, and emerging pathogens increasingly affect the human environment. We propose a framework that allows comparison of consecutive stages that such novel organisms go through. The framework provides a common terminology for novel organisms, facilitating knowledge exchange among researchers, managers, and policy makers that work on, or have to make effective decisions about, novel organisms. The framework also indicates that knowledge about the causes and consequences of stage transitions for the better studied novel organisms, such as invasive species, can be transferred to more poorly studied ones, such as GMOs and emerging pathogens. Finally, the framework advances understanding of how climate change can affect the establishment, spread, and impacts of novel organisms, and how biodiversity affects, and is affected by, novel organisms.

Reasoning and Knowledge Acquisition Framework for 5G Network Analytics

PubMed Central

2017-01-01

Autonomic self-management is a key challenge for next-generation networks. This paper proposes an automated analysis framework to infer knowledge in 5G networks with the aim to understand the network status and to predict potential situations that might disrupt the network operability. The framework is based on the Endsley situational awareness model, and integrates automated capabilities for metrics discovery, pattern recognition, prediction techniques and rule-based reasoning to infer anomalous situations in the current operational context. Those situations should then be mitigated, either proactive or reactively, by a more complex decision-making process. The framework is driven by a use case methodology, where the network administrator is able to customize the knowledge inference rules and operational parameters. The proposal has also been instantiated to prove its adaptability to a real use case. To this end, a reference network traffic dataset was used to identify suspicious patterns and to predict the behavior of the monitored data volume. The preliminary results suggest a good level of accuracy on the inference of anomalous traffic volumes based on a simple configuration. PMID:29065473

The role of simulation in mixed-methods research: a framework & application to patient safety.

PubMed

Guise, Jeanne-Marie; Hansen, Matthew; Lambert, William; O'Brien, Kerth

2017-05-04

Research in patient safety is an important area of health services research and is a national priority. It is challenging to investigate rare occurrences, explore potential causes, and account for the complex, dynamic context of healthcare - yet all are required in patient safety research. Simulation technologies have become widely accepted as education and clinical tools, but have yet to become a standard tool for research. We developed a framework for research that integrates accepted patient safety models with mixed-methods research approaches and describe the performance of the framework in a working example of a large National Institutes of Health (NIH)-funded R01 investigation. This worked example of a framework in action, identifies the strengths and limitations of qualitative and quantitative research approaches commonly used in health services research. Each approach builds essential layers of knowledge. We describe how the use of simulation ties these layers of knowledge together and adds new and unique dimensions of knowledge. A mixed-methods research approach that includes simulation provides a broad multi-dimensional approach to health services and patient safety research.

Reasoning and Knowledge Acquisition Framework for 5G Network Analytics.

PubMed

Sotelo Monge, Marco Antonio; Maestre Vidal, Jorge; García Villalba, Luis Javier

2017-10-21

Autonomic self-management is a key challenge for next-generation networks. This paper proposes an automated analysis framework to infer knowledge in 5G networks with the aim to understand the network status and to predict potential situations that might disrupt the network operability. The framework is based on the Endsley situational awareness model, and integrates automated capabilities for metrics discovery, pattern recognition, prediction techniques and rule-based reasoning to infer anomalous situations in the current operational context. Those situations should then be mitigated, either proactive or reactively, by a more complex decision-making process. The framework is driven by a use case methodology, where the network administrator is able to customize the knowledge inference rules and operational parameters. The proposal has also been instantiated to prove its adaptability to a real use case. To this end, a reference network traffic dataset was used to identify suspicious patterns and to predict the behavior of the monitored data volume. The preliminary results suggest a good level of accuracy on the inference of anomalous traffic volumes based on a simple configuration.

A Feminist Framework for Nurses on Boards.

PubMed

Sundean, Lisa J; Polifroni, E Carol

Nurses' knowledge, skills, and expertise uniquely situate them to contribute to health care transformation as equal partners in organizational board governance. The Institute of Medicine, the 10,000 Nurses on Boards Coalition, and a growing number of nurse and health care scholars advocate nurse board leadership; however, nurses are rarely appointed as voting board members. When no room is made for nurses to take a seat at the table, the opportunity is lost to harness the power of nursing knowledge for health care transformation and social justice. No philosophical framework underpins the emerging focus on nurse board leadership. The purpose of this article is to add to the extant nursing literature by suggesting feminism as a philosophical framework for nurses on boards. Feminism contributes to the knowledge base of nursing as it relates to the expanding roles of nurses in health care transformation, policy, and social justice. Furthermore, a feminist philosophical framework for nurses on boards sets the foundation for new theory development and validates ongoing advancement of the nursing profession. Copyright © 2016 Elsevier Inc. All rights reserved.

Structured feedback on students' concept maps: the proverbial path to learning?

PubMed

Joseph, Conran; Conradsson, David; Nilsson Wikmar, Lena; Rowe, Michael

2017-05-25

Good conceptual knowledge is an essential requirement for health professions students, in that they are required to apply concepts learned in the classroom to a variety of different contexts. However, the use of traditional methods of assessment limits the educator's ability to correct students' conceptual knowledge prior to altering the educational context. Concept mapping (CM) is an educational tool for evaluating conceptual knowledge, but little is known about its use in facilitating the development of richer knowledge frameworks. In addition, structured feedback has the potential to develop good conceptual knowledge. The purpose of this study was to use Kinchin's criteria to assess the impact of structured feedback on the graphical complexity of CM's by observing the development of richer knowledge frameworks. Fifty-eight physiotherapy students created CM's targeting the integration of two knowledge domains within a case-based teaching paradigm. Each student received one round of structured feedback that addressed correction, reinforcement, forensic diagnosis, benchmarking, and longitudinal development on their CM's prior to the final submission. The concept maps were categorized according to Kinchin's criteria as either Spoke, Chain or Net representations, and then evaluated against defined traits of meaningful learning. The inter-rater reliability of categorizing CM's was good. Pre-feedback CM's were predominantly Chain structures (57%), with Net structures appearing least often. There was a significant reduction of the basic Spoke- structured CMs (P = 0.002) and a significant increase of Net-structured maps (P < 0.001) at the final evaluation (post-feedback). Changes in structural complexity of CMs appeared to be indicative of broader knowledge frameworks as assessed against the meaningful learning traits. Feedback on CM's seemed to have contributed towards improving conceptual knowledge and correcting naive conceptions of related knowledge. Educators in medical education could therefore consider using CM's to target individual student development.

Combining patient journey modelling and visual multi-agent computer simulation: a framework to improving knowledge translation in a healthcare environment.

PubMed

Curry, Joanne; Fitzgerald, Anneke; Prodan, Ante; Dadich, Ann; Sloan, Terry

2014-01-01

This article focuses on a framework that will investigate the integration of two disparate methodologies: patient journey modelling and visual multi-agent simulation, and its impact on the speed and quality of knowledge translation to healthcare stakeholders. Literature describes patient journey modelling and visual simulation as discrete activities. This paper suggests that their combination and their impact on translating knowledge to practitioners are greater than the sum of the two technologies. The test-bed is ambulatory care and the goal is to determine if this approach can improve health services delivery, workflow, and patient outcomes and satisfaction. The multidisciplinary research team is comprised of expertise in patient journey modelling, simulation, and knowledge translation.

Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.gov

PubMed Central

Xu, Jun; Lee, Hee-Jin; Zeng, Jia; Wu, Yonghui; Zhang, Yaoyun; Huang, Liang-Chin; Johnson, Amber; Holla, Vijaykumar; Bailey, Ann M; Cohen, Trevor; Meric-Bernstam, Funda; Bernstam, Elmer V

2016-01-01

Objective: Clinical trials investigating drugs that target specific genetic alterations in tumors are important for promoting personalized cancer therapy. The goal of this project is to create a knowledge base of cancer treatment trials with annotations about genetic alterations from ClinicalTrials.gov. Methods: We developed a semi-automatic framework that combines advanced text-processing techniques with manual review to curate genetic alteration information in cancer trials. The framework consists of a document classification system to identify cancer treatment trials from ClinicalTrials.gov and an information extraction system to extract gene and alteration pairs from the Title and Eligibility Criteria sections of clinical trials. By applying the framework to trials at ClinicalTrials.gov, we created a knowledge base of cancer treatment trials with genetic alteration annotations. We then evaluated each component of the framework against manually reviewed sets of clinical trials and generated descriptive statistics of the knowledge base. Results and Discussion: The automated cancer treatment trial identification system achieved a high precision of 0.9944. Together with the manual review process, it identified 20 193 cancer treatment trials from ClinicalTrials.gov. The automated gene-alteration extraction system achieved a precision of 0.8300 and a recall of 0.6803. After validation by manual review, we generated a knowledge base of 2024 cancer trials that are labeled with specific genetic alteration information. Analysis of the knowledge base revealed the trend of increased use of targeted therapy for cancer, as well as top frequent gene-alteration pairs of interest. We expect this knowledge base to be a valuable resource for physicians and patients who are seeking information about personalized cancer therapy. PMID:27013523

Knowledge Discovery, Integration and Communication for Extreme Weather and Flood Resilience Using Artificial Intelligence: Flood AI Alpha

NASA Astrophysics Data System (ADS)

Demir, I.; Sermet, M. Y.

2016-12-01

Nobody is immune from extreme events or natural hazards that can lead to large-scale consequences for the nation and public. One of the solutions to reduce the impacts of extreme events is to invest in improving resilience with the ability to better prepare, plan, recover, and adapt to disasters. The National Research Council (NRC) report discusses the topic of how to increase resilience to extreme events through a vision of resilient nation in the year 2030. The report highlights the importance of data, information, gaps and knowledge challenges that needs to be addressed, and suggests every individual to access the risk and vulnerability information to make their communities more resilient. This abstracts presents our project on developing a resilience framework for flooding to improve societal preparedness with objectives; (a) develop a generalized ontology for extreme events with primary focus on flooding; (b) develop a knowledge engine with voice recognition, artificial intelligence, natural language processing, and inference engine. The knowledge engine will utilize the flood ontology and concepts to connect user input to relevant knowledge discovery outputs on flooding; (c) develop a data acquisition and processing framework from existing environmental observations, forecast models, and social networks. The system will utilize the framework, capabilities and user base of the Iowa Flood Information System (IFIS) to populate and test the system; (d) develop a communication framework to support user interaction and delivery of information to users. The interaction and delivery channels will include voice and text input via web-based system (e.g. IFIS), agent-based bots (e.g. Microsoft Skype, Facebook Messenger), smartphone and augmented reality applications (e.g. smart assistant), and automated web workflows (e.g. IFTTT, CloudWork) to open the knowledge discovery for flooding to thousands of community extensible web workflows.

Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.gov.

PubMed

Xu, Jun; Lee, Hee-Jin; Zeng, Jia; Wu, Yonghui; Zhang, Yaoyun; Huang, Liang-Chin; Johnson, Amber; Holla, Vijaykumar; Bailey, Ann M; Cohen, Trevor; Meric-Bernstam, Funda; Bernstam, Elmer V; Xu, Hua

2016-07-01

Clinical trials investigating drugs that target specific genetic alterations in tumors are important for promoting personalized cancer therapy. The goal of this project is to create a knowledge base of cancer treatment trials with annotations about genetic alterations from ClinicalTrials.gov. We developed a semi-automatic framework that combines advanced text-processing techniques with manual review to curate genetic alteration information in cancer trials. The framework consists of a document classification system to identify cancer treatment trials from ClinicalTrials.gov and an information extraction system to extract gene and alteration pairs from the Title and Eligibility Criteria sections of clinical trials. By applying the framework to trials at ClinicalTrials.gov, we created a knowledge base of cancer treatment trials with genetic alteration annotations. We then evaluated each component of the framework against manually reviewed sets of clinical trials and generated descriptive statistics of the knowledge base. The automated cancer treatment trial identification system achieved a high precision of 0.9944. Together with the manual review process, it identified 20 193 cancer treatment trials from ClinicalTrials.gov. The automated gene-alteration extraction system achieved a precision of 0.8300 and a recall of 0.6803. After validation by manual review, we generated a knowledge base of 2024 cancer trials that are labeled with specific genetic alteration information. Analysis of the knowledge base revealed the trend of increased use of targeted therapy for cancer, as well as top frequent gene-alteration pairs of interest. We expect this knowledge base to be a valuable resource for physicians and patients who are seeking information about personalized cancer therapy. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Graduate Attributes for Master's Programs in Health Services and Policy Research: Results of a National Consultation

PubMed Central

Morgan, Steve; Orr, Karen; Mah, Catherine

2010-01-01

Objective: Our objective was to identify desirable attributes to be developed through graduate training in health services and policy research (HSPR) by identifying the knowledge, skills and abilities thought to be keys to success in HSPR-related careers. We aimed for a framework clear enough to serve as a touchstone for HSPR training programs across Canada yet flexible enough to permit diversity of specialization across and within those programs. Methods: Our approach involved several stages of data collection and analysis: a review of literature; telephone interviews with opinion leaders; online surveys of HSPR students, recent graduates and employers; an invitational workshop; and an interactive panel at a national conference. Our final framework was arrived at through an iterative process of thematic analysis, reflection on invited feedback from consultation participants and triangulation with existing competency frameworks. Results: Our final result was a framework that identifies traits, knowledge and abilities of master's-level graduates who are capable of fostering health system improvement through planning, management, analysis or monitoring that is informed by credible evidence and relevant theory. These attributes are organized into three levels: generic graduate attributes, knowledge related to health and health systems and, finally, attributes related to the application of knowledge for health system improvement. The HSPR-specific attributes include not only an understanding of HSPR theories and methods but also the skills related to the practical application of knowledge in the complex environments of health system decision-making and healthcare policy. Conclusion: Master's-level HSPR training programs should prepare students to pose and seek answers to important questions and provide them with the skills necessary to apply their knowledge within complex decision-making environments. PMID:21804839

Real-time visual tracking of less textured three-dimensional objects on mobile platforms

NASA Astrophysics Data System (ADS)

Seo, Byung-Kuk; Park, Jungsik; Park, Hanhoon; Park, Jong-Il

2012-12-01

Natural feature-based approaches are still challenging for mobile applications (e.g., mobile augmented reality), because they are feasible only in limited environments such as highly textured and planar scenes/objects, and they need powerful mobile hardware for fast and reliable tracking. In many cases where conventional approaches are not effective, three-dimensional (3-D) knowledge of target scenes would be beneficial. We present a well-established framework for real-time visual tracking of less textured 3-D objects on mobile platforms. Our framework is based on model-based tracking that efficiently exploits partially known 3-D scene knowledge such as object models and a background's distinctive geometric or photometric knowledge. Moreover, we elaborate on implementation in order to make it suitable for real-time vision processing on mobile hardware. The performance of the framework is tested and evaluated on recent commercially available smartphones, and its feasibility is shown by real-time demonstrations.

Modeling patient safety incidents knowledge with the Categorial Structure method.

PubMed

Souvignet, Julien; Bousquet, Cédric; Lewalle, Pierre; Trombert-Paviot, Béatrice; Rodrigues, Jean Marie

2011-01-01

Following the WHO initiative named World Alliance for Patient Safety (PS) launched in 2004 a conceptual framework developed by PS national reporting experts has summarized the knowledge available. As a second step, the Department of Public Health of the University of Saint Etienne team elaborated a Categorial Structure (a semi formal structure not related to an upper level ontology) identifying the elements of the semantic structure underpinning the broad concepts contained in the framework for patient safety. This knowledge engineering method has been developed to enable modeling patient safety information as a prerequisite for subsequent full ontology development. The present article describes the semantic dissection of the concepts, the elicitation of the ontology requirements and the domain constraints of the conceptual framework. This ontology includes 134 concepts and 25 distinct relations and will serve as basis for an Information Model for Patient Safety.

Using the TPACK Framework to Facilitate Decision Making on Instructional Technologies

ERIC Educational Resources Information Center

Sobel, Karen; Grotti, Margaret G.

2013-01-01

Technological pedagogical content knowledge ("TPACK") is a theoretical framework used primarily in the field of education to facilitate the integration of technology into educational endeavors. This framework can be particularly valuable to librarians, who are heavy users of technology, and can provide a structure that can help…

VIRTUAL LIVER: AN IN SILICO FRAMEWORK FOR ANALYZING CHEMICAL-INDUCED HEPATOTOXICITY

EPA Science Inventory

The US EPA Virtual Liver (v-LiverTM) is an in silico framework for the dose-dependent perturbation of normal hepatic functions by chemicals using in vitro data. The framework consists of a computable knowledge-base (KB) to infer putative pathways in hepatotoxicity and a cellular...

An Online Social Constructivist Course: Toward a Framework for Usability Evaluations

ERIC Educational Resources Information Center

Phillips, Alana S.; Sheffield, Anneliese; Moore, Michelle; Robinson, Heather A.

2016-01-01

There is a need for a holistic usability evaluation framework that accommodates social constructivist online courses. Social knowledge construction may not be adequately evaluated using current frameworks. This qualitative research study examined the usability needs of a social constructivist online course. Data from an online course were analyzed…

Frameworks for organizing exposure and toxicity data - the Aggregate Exposure Pathway (AEP) and the Adverse Outcome Pathway (AOP)

EPA Science Inventory

The Adverse Outcome Pathway (AOP) framework organizes existing knowledge regarding a series of biological events, starting with a molecular initiating event (MIE) and ending at an adverse outcome. The AOP framework provides a biological context to interpret in vitro toxicity dat...

Movement Education Framework (MEF) Made EZ!

ERIC Educational Resources Information Center

Weiller-Abels, Karen; Bridges, Jennifer

2011-01-01

All physical educators want to provide lessons that foster success. Particularly essential to the movement education framework is not only providing lessons that foster motor success, but also to develop knowledge about movement to help the learner develop skill in executing all different types of movement. The framework and examples provided in…

Threshold Capabilities: Threshold Concepts and Knowledge Capability Linked through Variation Theory

ERIC Educational Resources Information Center

Baillie, Caroline; Bowden, John A.; Meyer, Jan H. F.

2013-01-01

The Threshold Capability Integrated Theoretical Framework (TCITF) is presented as a framework for the design of university curricula, aimed at developing graduates' capability to deal with previously unseen situations in their professional, social, and personal lives. The TCITF is a new theoretical framework derived from, and heavily dependent…

What is health systems responsiveness? Review of existing knowledge and proposed conceptual framework.

PubMed

Mirzoev, Tolib; Kane, Sumit

2017-01-01

Responsiveness is a key objective of national health systems. Responsive health systems anticipate and adapt to existing and future health needs, thus contributing to better health outcomes. Of all the health systems objectives, responsiveness is the least studied, which perhaps reflects lack of comprehensive frameworks that go beyond the normative characteristics of responsive services. This paper contributes to a growing, yet limited, knowledge on this topic. Herewith, we review the current frameworks for understanding health systems responsiveness and drawing on these, as well as key frameworks from the wider public services literature, propose a comprehensive conceptual framework for health systems responsiveness. This paper should be of interest to different stakeholders who are engaged in analysing and improving health systems responsiveness. Our review shows that existing knowledge on health systems responsiveness can be extended along the three areas. First, responsiveness entails an actual experience of people's interaction with their health system, which confirms or disconfirms their initial expectations of the system. Second, the experience of interaction is shaped by both the people and the health systems sides of this interaction. Third, different influences shape people's interaction with their health system, ultimately affecting their resultant experiences. Therefore, recognition of both people and health systems sides of interaction and their key determinants would enhance the conceptualisations of responsiveness. Our proposed framework builds on, and advances, the core frameworks in the health systems literature. It positions the experience of interaction between people and health system as the centrepiece and recognises the determinants of responsiveness experience both from the health systems (eg, actors, processes) and the people (eg, initial expectations) sides. While we hope to trigger further thinking on the conceptualisation of health system responsiveness, the proposed framework can guide assessments of, and interventions to strengthen, health systems responsiveness.

What is health systems responsiveness? Review of existing knowledge and proposed conceptual framework

PubMed Central

Mirzoev, Tolib; Kane, Sumit

2017-01-01

Responsiveness is a key objective of national health systems. Responsive health systems anticipate and adapt to existing and future health needs, thus contributing to better health outcomes. Of all the health systems objectives, responsiveness is the least studied, which perhaps reflects lack of comprehensive frameworks that go beyond the normative characteristics of responsive services. This paper contributes to a growing, yet limited, knowledge on this topic. Herewith, we review the current frameworks for understanding health systems responsiveness and drawing on these, as well as key frameworks from the wider public services literature, propose a comprehensive conceptual framework for health systems responsiveness. This paper should be of interest to different stakeholders who are engaged in analysing and improving health systems responsiveness. Our review shows that existing knowledge on health systems responsiveness can be extended along the three areas. First, responsiveness entails an actual experience of people’s interaction with their health system, which confirms or disconfirms their initial expectations of the system. Second, the experience of interaction is shaped by both the people and the health systems sides of this interaction. Third, different influences shape people’s interaction with their health system, ultimately affecting their resultant experiences. Therefore, recognition of both people and health systems sides of interaction and their key determinants would enhance the conceptualisations of responsiveness. Our proposed framework builds on, and advances, the core frameworks in the health systems literature. It positions the experience of interaction between people and health system as the centrepiece and recognises the determinants of responsiveness experience both from the health systems (eg, actors, processes) and the people (eg, initial expectations) sides. While we hope to trigger further thinking on the conceptualisation of health system responsiveness, the proposed framework can guide assessments of, and interventions to strengthen, health systems responsiveness. PMID:29225953

DyKOSMap: A framework for mapping adaptation between biomedical knowledge organization systems.

PubMed

Dos Reis, Julio Cesar; Pruski, Cédric; Da Silveira, Marcos; Reynaud-Delaître, Chantal

2015-06-01

Knowledge Organization Systems (KOS) and their associated mappings play a central role in several decision support systems. However, by virtue of knowledge evolution, KOS entities are modified over time, impacting mappings and potentially turning them invalid. This requires semi-automatic methods to maintain such semantic correspondences up-to-date at KOS evolution time. We define a complete and original framework based on formal heuristics that drives the adaptation of KOS mappings. Our approach takes into account the definition of established mappings, the evolution of KOS and the possible changes that can be applied to mappings. This study experimentally evaluates the proposed heuristics and the entire framework on realistic case studies borrowed from the biomedical domain, using official mappings between several biomedical KOSs. We demonstrate the overall performance of the approach over biomedical datasets of different characteristics and sizes. Our findings reveal the effectiveness in terms of precision, recall and F-measure of the suggested heuristics and methods defining the framework to adapt mappings affected by KOS evolution. The obtained results contribute and improve the quality of mappings over time. The proposed framework can adapt mappings largely automatically, facilitating thus the maintenance task. The implemented algorithms and tools support and minimize the work of users in charge of KOS mapping maintenance. Copyright © 2015 Elsevier Inc. All rights reserved.

Learners' strategies for reconstructing cognitive frameworks and navigating conceptual change from prior conception to consensual genetics knowledge

NASA Astrophysics Data System (ADS)

Parrott, Annette M.

Problem. Science teachers are charged with preparing students to become scientifically literate individuals. Teachers are given curriculum that specifies the knowledge that students should come away with; however, they are not necessarily aware of the knowledge with which the student arrives or how best to help them navigate between the two knowledge states. Educators must be aware, not only of where their students are conceptually, but how their students move from their prior knowledge and naive theories, to scientifically acceptable theories. The understanding of how students navigate this course has the potential to revolutionize educational practices. Methods. This study explored how five 9th grade biology students reconstructed their cognitive frameworks and navigated conceptual change from prior conception to consensual genetics knowledge. The research questions investigated were: (1) how do students in the process of changing their naive science theories to accepted science theories describe their journey from prior knowledge to current conception, and (2) what are the methods that students utilize to bridge the gap between alternate and consensual science conceptions to effect conceptual change. Qualitative and quantitative methods were employed to gather and analyze the data. In depth, semi-structured interviews formed the primary data for probing the context and details of students' conceptual change experience. Primary interview data was coded by thematic analysis. Results and discussion. This study revealed information about students' perceived roles in learning, the role of articulation in the conceptual change process, and ways in which a community of learners aids conceptual change. It was ascertained that students see their role in learning primarily as repeating information until they could add that information to their knowledge. Students are more likely to consider challenges to their conceptual frameworks and be more motivated to become active participants in constructing their knowledge when they are working collaboratively with peers instead of receiving instruction from their teacher. Articulation was found to be instrumental in aiding learners in identifying their alternate conceptions as well as in revisiting, investigating and reconstructing their conceptual frameworks. Based on the assumptions generated, suggestions were offered to inform pedagogical practice in support of the conceptual change process.

Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality

USGS Publications Warehouse

Walsh, Daniel P.; Norton, Andrew S.; Storm, Daniel J.; Van Deelen, Timothy R.; Heisy, Dennis M.

2018-01-01

Implicit and explicit use of expert knowledge to inform ecological analyses is becoming increasingly common because it often represents the sole source of information in many circumstances. Thus, there is a need to develop statistical methods that explicitly incorporate expert knowledge, and can successfully leverage this information while properly accounting for associated uncertainty during analysis. Studies of cause-specific mortality provide an example of implicit use of expert knowledge when causes-of-death are uncertain and assigned based on the observer's knowledge of the most likely cause. To explicitly incorporate this use of expert knowledge and the associated uncertainty, we developed a statistical model for estimating cause-specific mortality using a data augmentation approach within a Bayesian hierarchical framework. Specifically, for each mortality event, we elicited the observer's belief of cause-of-death by having them specify the probability that the death was due to each potential cause. These probabilities were then used as prior predictive values within our framework. This hierarchical framework permitted a simple and rigorous estimation method that was easily modified to include covariate effects and regularizing terms. Although applied to survival analysis, this method can be extended to any event-time analysis with multiple event types, for which there is uncertainty regarding the true outcome. We conducted simulations to determine how our framework compared to traditional approaches that use expert knowledge implicitly and assume that cause-of-death is specified accurately. Simulation results supported the inclusion of observer uncertainty in cause-of-death assignment in modeling of cause-specific mortality to improve model performance and inference. Finally, we applied the statistical model we developed and a traditional method to cause-specific survival data for white-tailed deer, and compared results. We demonstrate that model selection results changed between the two approaches, and incorporating observer knowledge in cause-of-death increased the variability associated with parameter estimates when compared to the traditional approach. These differences between the two approaches can impact reported results, and therefore, it is critical to explicitly incorporate expert knowledge in statistical methods to ensure rigorous inference.

Purification and characterization of chymotrypsin from viscera of vermiculated sailfin catfish, Pterygoplichthys disjunctivus, Weber, 1991.

PubMed

Villalba-Villalba, Ana Gloria; Ramírez-Suárez, Juan Carlos; Pacheco-Aguilar, Ramón; Valenzuela-Soto, Elisa Miriam; Lugo-Sánchez, María Elena; Figueroa-Soto, Ciria Guadalupe

2013-04-01

Pterygoplichthys disjunctivus viscera chymotrypsin was purified by fractionation with ammonium sulfate (30-70 % saturation), gel filtration, affinity, and ion exchange chromatography. Chymotrypsin molecular weight was approximately 29 kDa according to sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), shown a single band in zymogram. Electrofocusing study suggested being an anionic enzyme (pI ≈ 3.9), exhibiting maximal activity at pH 9 and 50 °C, using Suc-Ala-Ala-Pro-Phe-p-nitroanilide (SAAPNA) as substrate. Enzyme was effectively inhibited by phenyl methyl sulfonyl fluoride (PMSF) (99 %), and N-tosyl-L-phenylalanine chloromethyl ketone (TPCK) (94 %). Enzyme activity was affected by the following ions in decreasing order: Hg(2+), Fe(2+), Cu(2+), Li(1+), Mg(2+), K(1+), Mn(2+), while Ca(2+) had no effect. Chymotrypsin activity decreased continuously as NaCl concentration increased (from 0 to 30 %). K m and V max values were 0.72 ± 1.4 mM and 1.15 ± 0.06 μmol/min/mg of protein, respectively (SAAPNA as substrate). Results suggest the enzyme has a potential application where low processing temperatures are needed, such as in fish sauce production.

Novel thrombolytic protease from edible and medicinal plant Aster yomena (Kitam.) Honda with anticoagulant activity: purification and partial characterization.

PubMed

Choi, Jun-Hui; Kim, Dae-Won; Park, Se-Eun; Choi, Bong-Suk; Sapkota, Kumar; Kim, Seung; Kim, Sung-Jun

2014-10-01

A thrombolytic protease named kitamase possessing anticoagulant property was purified from edible and medicinal plant Aster yomena (Kitam.) Honda. Kitamase showed a molecular weight of 50 kDa by SDS-PAGE and displayed a strong fibrin zymogram lysis band corresponding to the similar molecular mass. The enzyme was active at high temperatures (50°C). The fibrinolytic activity of kitamase was strongly inhibited by EDTA, EGTA, TPCK and PMSF, inhibited by Zn(2+). The Km and Vmax values for substrate S-2251 were determined as 4.31 mM and 23.81 mM/mg respectively. It dissolved fibrin clot directly and specifically cleaved the α, Aα and γ-γ chains of fibrin and fibrinogen. In addition, kitamase delayed the coagulation time and increased activated partial thromboplastin time and prothrombin time. Kitamase exerted a significant protective effect against collagen and epinephrine induced pulmonary thromboembolism in mice. These results suggest that kitamase may have the property of metallo-protease like enzyme, novel fibrino(geno)lytic enzyme and a potential to be a therapeutic agent for thrombosis. Copyright © 2014 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.

Experimental and theoretical investigation of the rocking curves measured for MoK{sub α} X-ray characteristic lines in the double-crystal nondispersive scheme

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

Marchenkov, N. V., E-mail: marchenkov@ns.crys.ras.ru; Chukhovskii, F. N.; Blagov, A. E.

2015-03-15

The rocking curves (RCs) for MoK{sub α1} and MoK{sub α2} characteristic X-ray lines have been experimentally and theoretically studied in the nondispersive scheme of an X-ray double-crystal TPC-K diffractometer. The results of measurements and theoretical calculations of double-crystal RCs for characteristic X-rays from tubes with a molybdenum anode and different widths of slits show that a decrease in the slit width leads to an increase in the relative contribution of the MoK{sub α2}-line RC in comparison with the intensity of the tails of the MoK{sub α1}-line RC. It is shown that the second peak of the MoK{sub α2} line becomesmore » increasingly pronounced in the tail of the MoK{sub α1}-line RC with a decrease in the slit width. Two plane-parallel Si plates (input faces (110), diffraction vector h 〈220〉) were used as a monochromator crystal and a sample. The results of measuring double-crystal RCs are in good agreement with theoretical calculations.« less

An easily regenerable enzyme reactor prepared from polymerized high internal phase emulsions.

PubMed

Ruan, Guihua; Wu, Zhenwei; Huang, Yipeng; Wei, Meiping; Su, Rihui; Du, Fuyou

2016-04-22

A large-scale high-efficient enzyme reactor based on polymerized high internal phase emulsion monolith (polyHIPE) was prepared. First, a porous cross-linked polyHIPE monolith was prepared by in-situ thermal polymerization of a high internal phase emulsion containing styrene, divinylbenzene and polyglutaraldehyde. The enzyme of TPCK-Trypsin was then immobilized on the monolithic polyHIPE. The performance of the resultant enzyme reactor was assessed according to the conversion ability of Nα-benzoyl-l-arginine ethyl ester to Nα-benzoyl-l-arginine, and the protein digestibility of bovine serum albumin (BSA) and cytochrome (Cyt-C). The results showed that the prepared enzyme reactor exhibited high enzyme immobilization efficiency and fast and easy-control protein digestibility. BSA and Cyt-C could be digested in 10 min with sequence coverage of 59% and 78%, respectively. The peptides and residual protein could be easily rinsed out from reactor and the reactor could be regenerated easily with 4 M HCl without any structure destruction. Properties of multiple interconnected chambers with good permeability, fast digestion facility and easily reproducibility indicated that the polyHIPE enzyme reactor was a good selector potentially applied in proteomics and catalysis areas. Copyright © 2016 Elsevier Inc. All rights reserved.

Development of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach.

PubMed

Kagawa, Rina; Kawazoe, Yoshimasa; Ida, Yusuke; Shinohara, Emiko; Tanaka, Katsuya; Imai, Takeshi; Ohe, Kazuhiko

2017-07-01

Phenotyping is an automated technique that can be used to distinguish patients based on electronic health records. To improve the quality of medical care and advance type 2 diabetes mellitus (T2DM) research, the demand for T2DM phenotyping has been increasing. Some existing phenotyping algorithms are not sufficiently accurate for screening or identifying clinical research subjects. We propose a practical phenotyping framework using both expert knowledge and a machine learning approach to develop 2 phenotyping algorithms: one is for screening; the other is for identifying research subjects. We employ expert knowledge as rules to exclude obvious control patients and machine learning to increase accuracy for complicated patients. We developed phenotyping algorithms on the basis of our framework and performed binary classification to determine whether a patient has T2DM. To facilitate development of practical phenotyping algorithms, this study introduces new evaluation metrics: area under the precision-sensitivity curve (AUPS) with a high sensitivity and AUPS with a high positive predictive value. The proposed phenotyping algorithms based on our framework show higher performance than baseline algorithms. Our proposed framework can be used to develop 2 types of phenotyping algorithms depending on the tuning approach: one for screening, the other for identifying research subjects. We develop a novel phenotyping framework that can be easily implemented on the basis of proper evaluation metrics, which are in accordance with users' objectives. The phenotyping algorithms based on our framework are useful for extraction of T2DM patients in retrospective studies.

The Effect of Field Specialization Variation on Technological Pedagogical Content Knowledge (TPACK) among Malaysian TVET Instructors

ERIC Educational Resources Information Center

Chua, Junnaina Husin; Jamil, Hazri

2014-01-01

Technological Knowledge is directly related to productivity, enhanced performance and service quality. Technology integration in the Technical and Vocational Education and Training (TVET) curriculum is expected due to high application of technical knowledge and technology applications. TPACK is a professional knowledge framework that gives…

Understanding the Role of Representation in Interorganizational Knowledge Integration: A Case Study of an IT Outsourcing Project

ERIC Educational Resources Information Center

Werr, Andreas; Runsten, Philip

2013-01-01

Purpose: The current paper aims at contributing to the understanding of interorganizational knowledge integration by highlighting the role of individuals' understandings of the task and how they shape knowledge integrating behaviours. Design/methodology/approach: The paper presents a framework of knowledge integration as heedful interrelating.…

Linking a Conceptual Framework on Systems Thinking with Experiential Knowledge

ERIC Educational Resources Information Center

Garavito-Bermúdez, Diana; Lundholm, Cecilia; Crona, Beatrice

2016-01-01

This paper addresses a systemic approach for the study of fishers' ecological knowledge in order to describe fishers' ways of knowing and dealing with complexity in ecosystems, and discusses how knowledge is generated through, e.g. apprenticeship, experiential knowledge, and testing of hypotheses. The description and analysis of fishers'…

Bridging the Gap in Knowledge Transfer between Academia and Practitioners

ERIC Educational Resources Information Center

Gera, Rajat

2012-01-01

Purpose: The paper intends to identify the causes or gaps in transfer of managerial knowledge between academia and practitioners and to develop a framework that overcomes the gaps through knowledge management, information technology and human resource practices. The paper aims to suggest a strategic approach based on the knowledge transfer cycle.…

The Co-Evolution of Knowledge and Event Memory

ERIC Educational Resources Information Center

Nelson, Angela B.; Shiffrin, Richard M.

2013-01-01

We present a theoretical framework and a simplified simulation model for the co-evolution of knowledge and event memory, both termed SARKAE (Storing and Retrieving Knowledge and Events). Knowledge is formed through the accrual of individual events, a process that operates in tandem with the storage of individual event memories. In 2 studies, new…

They're Lovin' It: How Preschool Children Mediated Their Funds of Knowledge into Dramatic Play

ERIC Educational Resources Information Center

Karabon, Anne

2017-01-01

The funds of knowledge framework promotes connecting community contexts with curriculum aimed to activate children's prior knowledge. Typically, teachers determine what knowledge sources harmonise best with their existing programming, potentially omitting particular resources that may not align. Young children, on the other hand, can act as agents…

Managing Knowledge Performance: Testing the Components of a Knowledge Management System on Organizational Performance

ERIC Educational Resources Information Center

Cho, Taejun; Korte, Russell

2014-01-01

The main purpose of the current study is to validate the framework of knowledge management (KM) capabilities created by Gold ("Towards a theory of organizational knowledge management capabilities." Doctoral dissertation, University of North Carolina, Chapel Hill) 2001) in a study of South Korean companies. However, the original framework…

Introducing the Intellectual Capital Interplay Model: Advancing Knowledge Frameworks in the Not-for-Profit Environment of Higher Education

ERIC Educational Resources Information Center

Helm-Stevens, Roxanne; Brown, Kneeland C.; Russell, Julia K.

2011-01-01

Knowledge management has the potential to develop strategic advantage and enhance the performance of an organization in terms of productivity and business process efficiency. For this reason, organizations are contributing significant resources to knowledge management; investing in information location and implementing knowledge management…

Packaging and Unpackaging Knowledge in Mass Higher Education--A Knowledge Management Perspective

ERIC Educational Resources Information Center

Guzman, Gustavo; Trivelato, Luiz F.

2011-01-01

The progressive deployment of market-oriented regulatory frameworks in mass Higher Education Institutions (MHEI hereafter) triggered, in a wide variety of forms and degrees, the application of Knowledge Management principles in MHEI. This means the application of the knowledge "codification strategy", where the focus is on the economies of the…

Knowledge Management in Doctoral Education toward Knowledge Economy

ERIC Educational Resources Information Center

Stamou, Adamantia

2017-01-01

Purpose: The purpose of this paper is to investigate the role and the scope of knowledge management (KM) in doctoral education, in the emerging knowledge economy (KE) context, and the recommendation of a framework for KM in doctoral education. Design/Methodology/Approach: An extended literature analysis was contacted to elaborate the role and the…

Learning a Theory of Causality

ERIC Educational Resources Information Center

Goodman, Noah D.; Ullman, Tomer D.; Tenenbaum, Joshua B.

2011-01-01

The very early appearance of abstract knowledge is often taken as evidence for innateness. We explore the relative learning speeds of abstract and specific knowledge within a Bayesian framework and the role for innate structure. We focus on knowledge about causality, seen as a domain-general intuitive theory, and ask whether this knowledge can be…

Knowledge assistant: A sensor fusion framework for robotic environmental characterization

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

Feddema, J.T.; Rivera, J.J.; Tucker, S.D.

1996-12-01

A prototype sensor fusion framework called the {open_quotes}Knowledge Assistant{close_quotes} has been developed and tested on a gantry robot at Sandia National Laboratories. This Knowledge Assistant guides the robot operator during the planning, execution, and post analysis stages of the characterization process. During the planning stage, the Knowledge Assistant suggests robot paths and speeds based on knowledge of sensors available and their physical characteristics. During execution, the Knowledge Assistant coordinates the collection of data through a data acquisition {open_quotes}specialist.{close_quotes} During execution and post analysis, the Knowledge Assistant sends raw data to other {open_quotes}specialists,{close_quotes} which include statistical pattern recognition software, a neuralmore » network, and model-based search software. After the specialists return their results, the Knowledge Assistant consolidates the information and returns a report to the robot control system where the sensed objects and their attributes (e.g. estimated dimensions, weight, material composition, etc.) are displayed in the world model. This paper highlights the major components of this system.« less

The value of program science to optimize knowledge brokering on infectious diseases for public health.

PubMed

Becker, Marissa; Haworth-Brockman, Margaret; Keynan, Yoav

2018-05-02

Knowledge translation (KT) and related terms have variously been defined as process and as products. In this paper we contribute to debates on effective KT, specifically knowledge brokering, by describing an adaptation of Program Science that aligns with the real-world of public health activities. We describe an adaptation of the Program Science framework to our knowledge translation and brokering planning and projects at the National Collaborating Centre for Infectious Diseases. The systematic approach allows for layering of knowledge year to year and translating knowledge from one infectious disease content area to another. Using a recent forum on syphilis outbreaks as an example, we also demonstrate the value of using Program Science to shape the design and delivery of the knowledge brokering event. The use of scientific knowledge to improve public health program design, implementation and evaluation forms the basis for the program science framework. Providing the right public health information to the right audience at the right time can foster long-term outcomes of networks and new partnerships which can potentially improve delivery of public health services.

A framework for teaching medical students and residents about practice-based learning and improvement, synthesized from a literature review.

PubMed

Ogrinc, Greg; Headrick, Linda A; Mutha, Sunita; Coleman, Mary T; O'Donnell, Joseph; Miles, Paul V

2003-07-01

To create a framework for teaching the knowledge and skills of practice-based learning and improvement to medical students and residents based on proven, effective strategies. The authors conducted a Medline search of English-language articles published between 1996 and May 2001, using the term "quality improvement" (QI), and cross-matched it with "medical education" and "health professions education." A thematic-synthesis method of review was used to compile the information from the articles. Based on the literature review, an expert panel recommended educational objectives for practice-based learning and improvement. Twenty-seven articles met the inclusion criteria. The majority of studies were conducted in academic medical centers and medical schools and 40% addressed experiential learning of QI. More than 75% were qualitative case reports capturing educational outcomes, and 7% included an experimental study design. The expert panel integrated data from the literature review with the Dreyfus model of professional skill acquisition, the Institute for Healthcare Improvement's (IHI) knowledge domains for improving health care, and the ACGME competencies and generated a framework of core educational objectives about teaching practice-based learning and improvement to medical students and residents. Teaching the knowledge and skills of practice-based learning and improvement to medical students and residents is a necessary and important foundation for improving patient care. The authors present a framework of learning objectives-informed by the literature and synthesized by the expert panel-to assist educational leaders when integrating these objectives into a curriculum. This framework serves as a blueprint to bridge the gap between current knowledge and future practice needs.

Knowledge Interaction Design for Creative Knowledge Work

NASA Astrophysics Data System (ADS)

Nakakoji, Kumiyo; Yamamoto, Yasuhiro

This paper describes our approach for the development of application systems for creative knowledge work, particularly for early stages of information design tasks. Being a cognitive tool serving as a means of externalization, an application system affects how the user is engaged in the creative process through its visual interaction design. Knowledge interaction design described in this paper is a framework where a set of application systems for different information design domains are developed based on an interaction model, which is designed for a particular model of a thinking process. We have developed two sets of application systems using the knowledge interaction design framework: one includes systems for linear information design, such as writing, movie-editing, and video-analysis; the other includes systems for network information design, such as file-system navigation and hypertext authoring. Our experience shows that the resulting systems encourage users to follow a certain cognitive path through graceful user experience.

Empowering Physicians with Financial Literacy.

PubMed

Bar-Or, Yuval

2015-01-01

Most doctors complete their medical training without sufficient knowledge of business and finance. This leads to inefficient financial decisions, avoidable losses, and unnecessary anxiety. A big part of the problem is that the existing options for gaining financial knowledge are flawed. The ideal solution is to provide a simple framework of financial literacy to all students: one that can be adapted to their specific circumstances. That framework must be delivered by an objective expert to young physicians before they complete medical training.

Validation of an Information-Motivation-Behavioral Skills model of diabetes self-care (IMB-DSC).

PubMed

Osborn, Chandra Y; Egede, Leonard E

2010-04-01

Comprehensive behavior change frameworks are needed to provide guidance for the design, implementation, and evaluation of diabetes self-care programs in diverse populations. We applied the Information-Motivation-Behavioral Skills (IMB) model, a well-validated, comprehensive health behavior change framework, to diabetes self-care. Patients with diabetes were recruited from an outpatient clinic. Information gathered pertained to demographics, diabetes knowledge (information); diabetes fatalism (personal motivation); social support (social motivation); and diabetes self-care (behavior). Hemoglobin A1C values were extracted from the patient medical record. Structural equation models tested the IMB framework. More diabetes knowledge (r=0.22 p<0.05), less fatalistic attitudes (r=-0.20, p<0.05), and more social support (r=0.27, p<0.01) were independent, direct predictors of diabetes self-care behavior; and through behavior, were related to glycemic control (r=-0.20, p<0.05). Consistent with the IMB model, having more information (more diabetes knowledge), personal motivation (less fatalistic attitudes), and social motivation (more social support) was associated with behavior; and behavior was the sole predictor of glycemic control. The IMB model is an appropriate, comprehensive health behavior change framework for diabetes self-care. The findings indicate that in addition to knowledge, diabetes education programs should target personal and social motivation to effect behavior change. 2009 Elsevier Ireland Ltd. All rights reserved.

A Framework for Integrating Qualitative and Quantitative Data in Knowledge, Attitude, and Practice Studies: A Case Study of Pesticide Usage in Eastern Uganda

PubMed Central

Muleme, James; Kankya, Clovice; Ssempebwa, John C.; Mazeri, Stella; Muwonge, Adrian

2017-01-01

Knowledge, attitude, and practice (KAP) studies guide the implementation of public health interventions (PHIs), and they are important tools for political persuasion. The design and implementation of PHIs assumes a linear KAP relationship, i.e., an awareness campaign results in the desirable societal behavioral change. However, there is no robust framework for testing this relationship before and after PHIs. Here, we use qualitative and quantitative data on pesticide usage to test this linear relationship, identify associated context specific factors as well as assemble a framework that could be used to guide and evaluate PHIs. We used data from a cross-sectional mixed methods study on pesticide usage. Quantitative data were collected using a structured questionnaire from 167 households representing 1,002 individuals. Qualitative data were collected from key informants and focus group discussions. Quantitative and qualitative data analysis was done in R 3.2.0 as well as qualitative thematic analysis, respectively. Our framework shows that a KAP linear relationship only existed for households with a low knowledge score, suggesting that an awareness campaign would only be effective for ~37% of the households. Context specific socioeconomic factors explain why this relationship does not hold for households with high knowledge scores. These findings are essential for developing targeted cost-effective and sustainable interventions on pesticide usage and other PHIs with context specific modifications. PMID:29276703

A Framework for Integrating Qualitative and Quantitative Data in Knowledge, Attitude, and Practice Studies: A Case Study of Pesticide Usage in Eastern Uganda.

PubMed

Muleme, James; Kankya, Clovice; Ssempebwa, John C; Mazeri, Stella; Muwonge, Adrian

2017-01-01

Knowledge, attitude, and practice (KAP) studies guide the implementation of public health interventions (PHIs), and they are important tools for political persuasion. The design and implementation of PHIs assumes a linear KAP relationship, i.e., an awareness campaign results in the desirable societal behavioral change. However, there is no robust framework for testing this relationship before and after PHIs. Here, we use qualitative and quantitative data on pesticide usage to test this linear relationship, identify associated context specific factors as well as assemble a framework that could be used to guide and evaluate PHIs. We used data from a cross-sectional mixed methods study on pesticide usage. Quantitative data were collected using a structured questionnaire from 167 households representing 1,002 individuals. Qualitative data were collected from key informants and focus group discussions. Quantitative and qualitative data analysis was done in R 3.2.0 as well as qualitative thematic analysis, respectively. Our framework shows that a KAP linear relationship only existed for households with a low knowledge score, suggesting that an awareness campaign would only be effective for ~37% of the households. Context specific socioeconomic factors explain why this relationship does not hold for households with high knowledge scores. These findings are essential for developing targeted cost-effective and sustainable interventions on pesticide usage and other PHIs with context specific modifications.

The Digital Anatomist Distributed Framework and Its Applications to Knowledge-based Medical Imaging

PubMed Central

Brinkley, James F.; Rosse, Cornelius

1997-01-01

Abstract The domain of medical imaging is anatomy. Therefore, anatomic knowledge should be a rational basis for organizing and analyzing images. The goals of the Digital Anatomist Program at the University of Washington include the development of an anatomically based software framework for organizing, analyzing, visualizing and utilizing biomedical information. The framework is based on representations for both spatial and symbolic anatomic knowledge, and is being implemented in a distributed architecture in which multiple client programs on the Internet are used to update and access an expanding set of anatomical information resources. The development of this framework is driven by several practical applications, including symbolic anatomic reasoning, knowledge based image segmentation, anatomy information retrieval, and functional brain mapping. Since each of these areas involves many difficult image processing issues, our research strategy is an evolutionary one, in which applications are developed somewhat independently, and partial solutions are integrated in a piecemeal fashion, using the network as the substrate. This approach assumes that networks of interacting components can synergistically work together to solve problems larger than either could solve on its own. Each of the individual projects is described, along with evaluations that show that the individual components are solving the problems they were designed for, and are beginning to interact with each other in a synergistic manner. We argue that this synergy will increase, not only within our own group, but also among groups as the Internet matures, and that an anatomic knowledge base will be a useful means for fostering these interactions. PMID:9147337

Supporting Collective Inquiry: A Technology Framework for Distributed Learning

NASA Astrophysics Data System (ADS)

Tissenbaum, Michael

This design-based study describes the implementation and evaluation of a technology framework to support smart classrooms and Distributed Technology Enhanced Learning (DTEL) called SAIL Smart Space (S3). S3 is an open-source technology framework designed to support students engaged in inquiry investigations as a knowledge community. To evaluate the effectiveness of S3 as a generalizable technology framework, a curriculum named PLACE (Physics Learning Across Contexts and Environments) was developed to support two grade-11 physics classes (n = 22; n = 23) engaged in a multi-context inquiry curriculum based on the Knowledge Community and Inquiry (KCI) pedagogical model. This dissertation outlines three initial design studies that established a set of design principles for DTEL curricula, and related technology infrastructures. These principles guided the development of PLACE, a twelve-week inquiry curriculum in which students drew upon their community-generated knowledge base as a source of evidence for solving ill-structured physics problems based on the physics of Hollywood movies. During the culminating smart classroom activity, the S3 framework played a central role in orchestrating student activities, including managing the flow of materials and students using real-time data mining and intelligent agents that responded to emergent class patterns. S3 supported students' construction of knowledge through the use individual, collective and collaborative scripts and technologies, including tablets and interactive large-format displays. Aggregate and real-time ambient visualizations helped the teacher act as a wondering facilitator, supporting students in their inquiry where needed. A teacher orchestration tablet gave the teacher some control over the flow of the scripted activities, and alerted him to critical moments for intervention. Analysis focuses on S3's effectiveness in supporting students' inquiry across multiple learning contexts and scales of time, and in making timely and effective use of the community's knowledge base, towards producing solutions to sophisticated, ill defined problems in the domain of physics. Video analysis examined whether S3 supported teacher orchestration, freeing him to focus less on classroom management and more on students' inquiry. Three important outcomes of this research are a set of design principles for DTEL environments, a specific technology infrastructure (S3), and a DTEL research framework.

A Theoretical Framework for the Studio as a Learning Environment

ERIC Educational Resources Information Center

Brandt, Carol B.; Cennamo, Katherine; Douglas, Sarah; Vernon, Mitzi; McGrath, Margarita; Reimer, Yolanda

2013-01-01

In this article we describe a holistic, ecological framework that takes into account the surface structures and pedagogical approaches in the studio and how these elements are connected to the construction of design knowledge: epistemology. In our development of this framework, we came to understand how disciplinary underpinnings and academic…

Developing and Implementing a Framework of Participatory Simulation for Mobile Learning Using Scaffolding

ERIC Educational Resources Information Center

Yin, Chengjiu; Song, Yanjie; Tabata, Yoshiyuki; Ogata, Hiroaki; Hwang, Gwo-Jen

2013-01-01

This paper proposes a conceptual framework, scaffolding participatory simulation for mobile learning (SPSML), used on mobile devices for helping students learn conceptual knowledge in the classroom. As the pedagogical design, the framework adopts an experiential learning model, which consists of five sequential but cyclic steps: the initial stage,…

Framework for Leading Next Generation Science Standards Implementation

ERIC Educational Resources Information Center

Stiles, Katherine; Mundry, Susan; DiRanna, Kathy

2017-01-01

In response to the need to develop leaders to guide the implementation of the Next Generation Science Standards (NGSS), the Carnegie Corporation of New York provided funding to WestEd to develop a framework that defines the leadership knowledge and actions needed to effectively implement the NGSS. The development of the framework entailed…

Towards a Theory-Based Design Framework for an Effective E-Learning Computer Programming Course

ERIC Educational Resources Information Center

McGowan, Ian S.

2016-01-01

Built on Dabbagh (2005), this paper presents a four component theory-based design framework for an e-learning session in introductory computer programming. The framework, driven by a body of exemplars component, emphasizes the transformative interaction between the knowledge building community (KBC) pedagogical model, a mixed instructional…

An Exploratory Framework for Handling the Complexity of Mathematical Problem Posing in Small Groups

ERIC Educational Resources Information Center

Kontorovich, Igor; Koichu, Boris; Leikin, Roza; Berman, Avi

2012-01-01

The paper introduces an exploratory framework for handling the complexity of students' mathematical problem posing in small groups. The framework integrates four facets known from past research: task organization, students' knowledge base, problem-posing heuristics and schemes, and group dynamics and interactions. In addition, it contains a new…

P21 Framework Definitions

ERIC Educational Resources Information Center

Partnership for 21st Century Skills, 2009

2009-01-01

To help practitioners integrate skills into the teaching of core academic subjects, the Partnership for 21st Century Skills has developed a unified, collective vision for learning known as the Framework for 21st Century Learning. This Framework describes the skills, knowledge and expertise students must master to succeed in work and life; it is a…

Analytical Overview of the European and Russian Qualifications Frameworks with a Focus on Doctoral Degree Level

ERIC Educational Resources Information Center

Chigisheva, Oksana; Bondarenko, Anna; Soltovets, Elena

2017-01-01

The paper provides analytical insights into highly acute issues concerning preparation and adoption of Qualifications Frameworks being an adequate response to the growing interactions at the global labor market and flourishing of knowledge economy. Special attention is paid to the analyses of transnational Meta Qualifications Frameworks (A…

A Framework and a Methodology for Developing Authentic Constructivist e-Learning Environments

ERIC Educational Resources Information Center

Zualkernan, Imran A.

2006-01-01

Semantically rich domains require operative knowledge to solve complex problems in real-world settings. These domains provide an ideal environment for developing authentic constructivist e-learning environments. In this paper we present a framework and a methodology for developing authentic learning environments for such domains. The framework is…

A legal framework to enable sharing of Clinical Decision Support knowledge and services across institutional boundaries.

PubMed

Hongsermeier, Tonya; Maviglia, Saverio; Tsurikova, Lana; Bogaty, Dan; Rocha, Roberto A; Goldberg, Howard; Meltzer, Seth; Middleton, Blackford

2011-01-01

The goal of the CDS Consortium (CDSC) is to assess, define, demonstrate, and evaluate best practices for knowledge management and clinical decision support in healthcare information technology at scale - across multiple ambulatory care settings and Electronic Health Record technology platforms. In the course of the CDSC research effort, it became evident that a sound legal foundation was required for knowledge sharing and clinical decision support services in order to address data sharing, intellectual property, accountability, and liability concerns. This paper outlines the framework utilized for developing agreements in support of sharing, accessing, and publishing content via the CDSC Knowledge Management Portal as well as an agreement in support of deployment and consumption of CDSC developed web services in the context of a research project under IRB oversight.

An intelligent interactive simulator of clinical reasoning in general surgery.

PubMed Central

Wang, S.; el Ayeb, B.; Echavé, V.; Preiss, B.

1993-01-01

We introduce an interactive computer environment for teaching in general surgery and for diagnostic assistance. The environment consists of a knowledge-based system coupled with an intelligent interface that allows users to acquire conceptual knowledge and clinical reasoning techniques. Knowledge is represented internally within a probabilistic framework and externally through a interface inspired by Concept Graphics. Given a set of symptoms, the internal knowledge framework computes the most probable set of diseases as well as best alternatives. The interface displays CGs illustrating the results and prompting essential facts of a medical situation or a process. The system is then ready to receive additional information or to suggest further investigation. Based on the new information, the system will narrow the solutions with increased belief coefficients. PMID:8130508

An Efficient Framework for Development of Task-Oriented Dialog Systems in a Smart Home Environment.

PubMed

Park, Youngmin; Kang, Sangwoo; Seo, Jungyun

2018-05-16

In recent times, with the increasing interest in conversational agents for smart homes, task-oriented dialog systems are being actively researched. However, most of these studies are focused on the individual modules of such a system, and there is an evident lack of research on a dialog framework that can integrate and manage the entire dialog system. Therefore, in this study, we propose a framework that enables the user to effectively develop an intelligent dialog system. The proposed framework ontologically expresses the knowledge required for the task-oriented dialog system's process and can build a dialog system by editing the dialog knowledge. In addition, the framework provides a module router that can indirectly run externally developed modules. Further, it enables a more intelligent conversation by providing a hierarchical argument structure (HAS) to manage the various argument representations included in natural language sentences. To verify the practicality of the framework, an experiment was conducted in which developers without any previous experience in developing a dialog system developed task-oriented dialog systems using the proposed framework. The experimental results show that even beginner dialog system developers can develop a high-level task-oriented dialog system.

An Efficient Framework for Development of Task-Oriented Dialog Systems in a Smart Home Environment

PubMed Central

Park, Youngmin; Kang, Sangwoo; Seo, Jungyun

2018-01-01

In recent times, with the increasing interest in conversational agents for smart homes, task-oriented dialog systems are being actively researched. However, most of these studies are focused on the individual modules of such a system, and there is an evident lack of research on a dialog framework that can integrate and manage the entire dialog system. Therefore, in this study, we propose a framework that enables the user to effectively develop an intelligent dialog system. The proposed framework ontologically expresses the knowledge required for the task-oriented dialog system’s process and can build a dialog system by editing the dialog knowledge. In addition, the framework provides a module router that can indirectly run externally developed modules. Further, it enables a more intelligent conversation by providing a hierarchical argument structure (HAS) to manage the various argument representations included in natural language sentences. To verify the practicality of the framework, an experiment was conducted in which developers without any previous experience in developing a dialog system developed task-oriented dialog systems using the proposed framework. The experimental results show that even beginner dialog system developers can develop a high-level task-oriented dialog system. PMID:29772668

An intelligent knowledge-based and customizable home care system framework with ubiquitous patient monitoring and alerting techniques.

PubMed

Chen, Yen-Lin; Chiang, Hsin-Han; Yu, Chao-Wei; Chiang, Chuan-Yen; Liu, Chuan-Ming; Wang, Jenq-Haur

2012-01-01

This study develops and integrates an efficient knowledge-based system and a component-based framework to design an intelligent and flexible home health care system. The proposed knowledge-based system integrates an efficient rule-based reasoning model and flexible knowledge rules for determining efficiently and rapidly the necessary physiological and medication treatment procedures based on software modules, video camera sensors, communication devices, and physiological sensor information. This knowledge-based system offers high flexibility for improving and extending the system further to meet the monitoring demands of new patient and caregiver health care by updating the knowledge rules in the inference mechanism. All of the proposed functional components in this study are reusable, configurable, and extensible for system developers. Based on the experimental results, the proposed intelligent homecare system demonstrates that it can accomplish the extensible, customizable, and configurable demands of the ubiquitous healthcare systems to meet the different demands of patients and caregivers under various rehabilitation and nursing conditions.

An Intelligent Knowledge-Based and Customizable Home Care System Framework with Ubiquitous Patient Monitoring and Alerting Techniques

PubMed Central

Chen, Yen-Lin; Chiang, Hsin-Han; Yu, Chao-Wei; Chiang, Chuan-Yen; Liu, Chuan-Ming; Wang, Jenq-Haur

2012-01-01

This study develops and integrates an efficient knowledge-based system and a component-based framework to design an intelligent and flexible home health care system. The proposed knowledge-based system integrates an efficient rule-based reasoning model and flexible knowledge rules for determining efficiently and rapidly the necessary physiological and medication treatment procedures based on software modules, video camera sensors, communication devices, and physiological sensor information. This knowledge-based system offers high flexibility for improving and extending the system further to meet the monitoring demands of new patient and caregiver health care by updating the knowledge rules in the inference mechanism. All of the proposed functional components in this study are reusable, configurable, and extensible for system developers. Based on the experimental results, the proposed intelligent homecare system demonstrates that it can accomplish the extensible, customizable, and configurable demands of the ubiquitous healthcare systems to meet the different demands of patients and caregivers under various rehabilitation and nursing conditions. PMID:23112650

Online epistemic communities: theoretical and methodological directions for understanding knowledge co-elaboration in new digital spaces.

PubMed

Détienne, Françoise; Barcellini, Flore; Baker, Michael; Burkhardt, Jean-Marie; Fréard, Dominique

2012-01-01

This paper presents, illustrates and discusses a generic framework for studying knowledge co-elaboration in online epistemic communities ("OECs"). Our approach is characterised by: considering knowledge co-elaboration as a design activity; distinguishing discussion and production spaces in OECs; characterising participation via the notion of role; fine-grained analyses of meaning, content and communicative functions in interactions. On this basis, three key issues for ergonomics research on OECs are discussed and illustrated by results from our previous studies on OSS and Wikipedia. One issue concerns the interrelation between design (task) and regulation. Whereas design task-oriented activity is distributed among participants, we illustrate that OCEs function with specialised emerging roles of group regulation. However, the task-oriented activity also functions at an interpersonal level, as an interplay of knowledge-based discussion with negotiation of competencies. Another issue concerns the foci of activity on the (designed) knowledge object. Based on a generic task model, we illustrate asymmetry and distinctiveness in tasks' foci of participants. The last issue concerns how design-use mediation is ensured by specific forms of mediation roles in OECs. Finally we discuss the degree of generality of our framework and draw some perspectives for extending our framework to other OECs.

Knowledge transfer and exchange frameworks in health and their applicability to palliative care: scoping review protocol.

PubMed

Prihodova, Lucia; Guerin, Suzanne; Kernohan, W George

2015-07-01

To review knowledge transfer and exchange frameworks used in health, to analyse the core concepts of these frameworks and appraise their potential applicability to palliative care. Although there are over 60 different models of knowledge transfer and exchange designed for various areas of the fields of health care, many remain largely unrefined and untested. There is a lack of studies that create guidelines for scaling-up successful implementation of research findings and of proven models ensuring that patients have access to optimal health care, guided by current research. The protocol for this scoping review was devised according to the guidelines proposed by Arksey and O'Malley (2005) and Levac et al. (2010). The protocol includes decisions about the review objectives, inclusion criteria, search strategy, study selection, data extraction, quality assessment, data synthesis and plans for dissemination. The review will allow us to identify the currently used models of knowledge transfer and exchange in healthcare setting and analyse their applicability to the complex demands of palliative care. Results from this review will identify effective way of translating different types of knowledge to different PC providers and could be used in hospital, community and home based PC and future research. © 2015 John Wiley & Sons Ltd.

Developing Content Knowledge in Students through Explicit Teaching of the Nature of Science: Influences of Goal Setting and Self-Monitoring

ERIC Educational Resources Information Center

Peters, Erin E.

2012-01-01

Knowledge about the nature of science has been advocated as an important component of science because it provides a framework on which the students can incorporate content knowledge. However, little empirical evidence has been provided that links nature of science knowledge with content knowledge. The purpose of this mixed method study was to…

Entrepreneurship as a legitimate field of knowledge.

PubMed

Sánchez, José C

2011-08-01

Entrepreneurship as a research topic has been approached from disciplines such as economics, sociology or psychology. After justifying its study, we define the domain of the field, highlighting what has currently become its dominant paradigm, the process of the discovery, assessment and exploitation of opportunities. We then describe the main perspectives and offer an integrated conceptual framework that will allow us to legitimize the study of entrepreneurship as a field of knowledge in its own right. We believe that this framework will help researchers to better recognize the relations among the many factors forming part of the study of entrepreneurship. Lastly, we conclude with some brief reflections on the potential value of the framework presented.

EUReKA! A Conceptual Model of Emotion Understanding

PubMed Central

Castro, Vanessa L.; Cheng, Yanhua; Halberstadt, Amy G.; Grühn, Daniel

2015-01-01

The field of emotion understanding is replete with measures, yet lacks an integrated conceptual organizing structure. To identify and organize skills associated with the recognition and knowledge of emotions, and to highlight the focus of emotion understanding as localized in the self, in specific others, and in generalized others, we introduce the conceptual framework of Emotion Understanding in Recognition and Knowledge Abilities (EUReKA). We then categorize fifty-six existing methods of emotion understanding within this framework to highlight current gaps and future opportunities in assessing emotion understanding across the lifespan. We hope the EUReKA model provides a systematic and integrated framework for conceptualizing and measuring emotion understanding for future research. PMID:27594904

A theoretical framework for antigay aggression: Review of established and hypothesized effects within the context of the general aggression model⋆

PubMed Central

Parrott, Dominic J.

2008-01-01

Theory and research on antigay aggression has identified different motives that facilitate aggression based on sexual orientation. However, the individual and situational determinants of antigay aggression associated with these motivations have yet to be organized within a single theoretical framework. This limits researchers’ ability to organize existing knowledge, link that knowledge with related aggression theory, and guide the application of new findings. To address these limitations, this article argues for the use of an existing conceptual framework to guide thinking and generate new research in this area of study. Contemporary theories of antigay aggression, and empirical support for these theories, are reviewed and interpreted within the unifying framework of the general aggression model [Anderson, C.A. & Bushman, B.J. (2002). Human aggression. Annual Review of Psychology, 53, 27–51.]. It is concluded that this conceptual framework will facilitate investigation of individual and situational risk factors that may contribute to antigay aggression and guide development of individual-level intervention. PMID:18355952

Library and Information Professionals as Knowledge Engagement Specialists. Theories, Competencies and Current Educational Possibilities in Accredited Graduate Programmes

ERIC Educational Resources Information Center

Prado, Javier Calzada; Marzal, Miguel Angel

2013-01-01

Introduction: The role of library and information science professionals as knowledge facilitators is solidly grounded in the profession's theoretical foundations as much as connected with its social relevance. Knowledge science is presented in this paper as a convenient theoretical framework for this mission, and knowledge engagement…

Problematizing Knowledge-Power Relationships: A Rancièrian Provocation for Music Education

ERIC Educational Resources Information Center

Kanellopoulos, Panagiotis A.

2016-01-01

This paper suggests a framework for re-thinking the relationships between power and knowledge in music education. Informed by Jacques Rancière's notion of equality it explores how a dialectic between knowledge/mastery and ignorance/equality effects a rupture in the canonical relationships between knowledge and authority. Further, and based on a…

Adoption by Policy Makers of Knowledge from Educational Research: An Alternative Perspective

ERIC Educational Resources Information Center

Brown, Chris

2012-01-01

The phrase knowledge adoption refers to the ways in which policymakers take up and use evidence. Whilst frameworks and models have been put forward to explain knowledge adoption activity, this paper argues that current approaches are flawed and do not address the complexities affecting the successful realisation of knowledge-adoption efforts.…

How best practices are copied, transferred, or translated between health care facilities: A conceptual framework.

PubMed

Guzman, Gustavo; Fitzgerald, Janna Anneke; Fulop, Liz; Hayes, Kathryn; Poropat, Arthur; Avery, Mark; Campbell, Steve; Fisher, Ron; Gapp, Rod; Herington, Carmel; McPhail, Ruth; Vecchio, Nerina

2015-01-01

In spite of significant investment in quality programs and activities, there is a persistent struggle to achieve quality outcomes and performance improvements within the constraints and support of sociopolitical parsimonies. Equally, such constraints have intensified the need to better understand the best practice methods for achieving quality improvements in health care organizations over time.This study proposes a conceptual framework to assist with strategies for the copying, transferring, and/or translation of best practice between different health care facilities. Applying a deductive logic, the conceptual framework was developed by blending selected theoretical lenses drawn from the knowledge management and organizational learning literatures. The proposed framework highlighted that (a) major constraints need to be addressed to turn best practices into everyday practices and (b) double-loop learning is an adequate learning mode to copy and to transfer best practices and deuteron learning mode is a more suitable learning mode for translating best practice. We also found that, in complex organizations, copying, transferring, and translating new knowledge is more difficult than in smaller, less complex organizations. We also posit that knowledge translation cannot happen without transfer and copy, and transfer cannot happen without copy of best practices. Hence, an integration of all three learning processes is required for knowledge translation (copy best practice-transfer knowledge about best practice-translation of best practice into new context). In addition, the higher the level of complexity of the organization, the more best practice is tacit oriented and, in this case, the higher the level of K&L capabilities are required to successfully copy, transfer, and/or translate best practices between organizations. The approach provides a framework for assessing organizational context and capabilities to guide copy/transfer/translation of best practices. A roadmap is provided to assist managers and practitioners to select appropriate learning modes for building success and positive systemic change.

Predictive Models and Computational Embryology

EPA Science Inventory

EPA’s ‘virtual embryo’ project is building an integrative systems biology framework for predictive models of developmental toxicity. One schema involves a knowledge-driven adverse outcome pathway (AOP) framework utilizing information from public databases, standardized ontologies...

Knowledge Transfer through a Transnational Program Partnership between Indonesian and Australian Universities

ERIC Educational Resources Information Center

Sutrisno, Agustian; Pillay, Hitendra

2015-01-01

As transnational programs are often advocated as a knowledge transfer opportunity between the partner universities, this case study investigated the knowledge transfer (KT) processes between Indonesian and Australian universities through an undergraduate transnational program partnership (TPP). An inter-organisational KT theoretical framework from…

Knowledge Management: A Tripartite Conceptual Framework for Career and Technical Teacher Educators

ERIC Educational Resources Information Center

Lee, Hae-Young; Roth, Gene L.

2008-01-01

Researchers and practitioners consider knowledge management to be a strategic intervention that integrates organizational resources such as technologies and human resources. This conceptual paper focuses on the foundational contributions of economics, sociology, and psychology to knowledge management. Select theories from each foundational area…

The Leader's Role in Strategic Knowledge Creation and Mobilization

ERIC Educational Resources Information Center

Reid, Steven

2013-01-01

The purpose of this paper is to explore how leaders influence knowledge creation and mobilization processes. As a basis for the theoretical framework, the researcher selected theories that informed the investigation of this influence: leadership theory, knowledge theory, learning theory, organizational learning theory, and organizational knowledge…

[Current status of the knowledge on Moroccan anophelines (Diptera: Culicidae): systematic, geographical distribution and vectorial competence].

PubMed

Faraj, C; Ouahabi, S; Adlaoui, E; Elaouad, R

2010-10-01

This bibliographical study, based on published works, ministry of Health Reports, exploitation of the database relative to the entomological surveillance conducted in the framework of the National Malaria Control Program, as well as unpublished results obtained within the framework of the European project "Emerging disease in a changing European environment", summarizes and completes with new data current knowledge on the systematics, the distribution and the vectorial competence of moroccan anophelines. Copyright © 2010 Elsevier Masson SAS. All rights reserved.

Community health workers in Brazil's Unified Health System: a framework of their praxis and contributions to patient health behaviors.

PubMed

Pinto, Rogério M; da Silva, Sueli Bulhões; Soriano, Rafaela

2012-03-01

Community health workers (CHWs) play a pivotal role in primary care, serving as liaisons between community members and medical providers. However, the growing reliance of health care systems worldwide on CHWs has outpaced research explaining their praxis - how they combine indigenous and technical knowledge, overcome challenges and impact patient outcomes. This paper thus articulates the CHW Praxis and Patient Health Behavior Framework. Such a framework is needed to advance research on CHW impact on patient outcomes and to advance CHW training. The project that originated this framework followed community-based participatory research principles. A team of U.S.-Brazil research partners, including CHWs, worked together from conceptualization of the study to dissemination of its findings. The framework is built on an integrated conceptual foundation including learning/teaching and individual behavior theories. The empirical base of the framework comprises in-depth interviews with 30 CHWs in Brazil's Unified Health System, Mesquita, Rio de Janeiro. Data collection for the project which originated this report occurred in 2008-10. Semi-structured questions examined how CHWs used their knowledge/skills; addressed personal and environmental challenges; and how they promoted patient health behaviors. This study advances an explanation of how CHWs use self-identified strategies--i.e., empathic communication and perseverance--to help patients engage in health behaviors. Grounded in our proposed framework, survey measures can be developed and used in predictive models testing the effects of CHW praxis on health behaviors. Training for CHWs can explicitly integrate indigenous and technical knowledge in order for CHWs to overcome contextual challenges and enhance service delivery. Copyright © 2012 Elsevier Ltd. All rights reserved.

Community Health Workers in Brazil's Unified Health System: A Framework of their Praxis and Contributions to Patient Health Behaviors

PubMed Central

Pinto, Rogério M.; da Silva, Sueli Bulhões; Soriano, Rafaela

2012-01-01

Community Health Workers (CHWs) play a pivotal role in primary care, serving as liaisons between community members and medical providers. However, the growing reliance of health care systems worldwide on CHWs has outpaced research explaining their praxis – how they combine indigenous and technical knowledge, overcome challenges and impact patient outcomes. This paper thus articulates the CHW Praxis and Patient Health Behavior Framework. Such a framework is needed to advance research on CHW impact on patient outcomes and to advance CHW training. The project that originated this framework followed Community-Based Participatory Research principles. A team of U.S.-Brazil research partners, including CHWs, worked together from conceptualization of the study to dissemination of its findings. The framework is built on an integrated conceptual foundation including learning/teaching and individual behavior theories. The empirical base of the framework comprises in-depth interviews with 30 CHWs in Brazil's Unified Health System, Mesquita, Rio de Janeiro. Data collection for the project which originated this report occurred in 2008–10. Semi-structured questions examined how CHWs used their knowledge/skills; addressed personal and environmental challenges; and how they promoted patient health behaviors. This study advances an explanation of how CHWs use self-identified strategies – i.e., empathic communication and perseverance – to help patients engage in health behaviors. Grounded in our proposed framework, survey measures can be developed and used in predictive models testing the effects of CHW praxis on health behaviors. Training for CHWs can explicitly integrate indigenous and technical knowledge in order for CHWs to overcome contextual challenges and enhance service delivery. PMID:22305469

Reflective practice: a framework for case manager development.

PubMed

Brubakken, Karen; Grant, Sara; Johnson, Mary K; Kollauf, Cynthia

2011-01-01

The role of a nurse case manager (NCM) incorporates practice that is built upon knowledge gained in other roles as well as components unique to case management. The concept of reflective practice was used in creating a framework to recognize the developmental stages that occur within community based case management practice. The formation of this framework and its uses are described in this article. The practice setting is a community based case management department in a large midwestern metropolitan health care system with Magnet recognition. Advanced practice nurses provide care for clients with chronic health conditions. Twenty-four narratives were used to identify behaviors of community based case managers and to distinguish stages of practice. The behaviors of advanced practice found within the narratives were labeled and analyzed for similarities. Related behaviors were grouped and descriptor statements were written. These statements grouped into 3 domains of practice: relationship/partnership, coordination/collaboration, and clinical knowledge/decision making. The statements in each domain showed practice variations from competent to expert, and 3 stages were determined. Reliability and validity of the framework involved analysis of additional narratives. The reflective practice process, used for monthly case review presentations, provides opportunity for professional development and group learning focused on improving case manager practice. The framework is also being used in orientation as new case managers acclimate to the role. Reflective writing has unveiled the richness and depth of nurse case manager practice. The depth of knowledge and skills involved in community-based case management is captured within this reflective practice framework. This framework provides a format for describing community based case manager practice development over the course of time and has been used as a tool for orientation and peer review.

Development of a Design Supporting System for Nano-Materials based on a Framework for Integrated Knowledge of Functioning-Manufacturing Process

NASA Astrophysics Data System (ADS)

Tarumi, Shinya; Kozaki, Kouji; Kitamura, Yoshinobu; Mizoguchi, Riichiro

In the recent materials research, much work aims at realization of ``functional materials'' by changing structure and/or manufacturing process with nanotechnology. However, knowledge about the relationship among function, structure and manufacturing process is not well organized. So, material designers have to consider a lot of things at the same time. It would be very helpful for them to support their design process by a computer system. In this article, we discuss a conceptual design supporting system for nano-materials. Firstly, we consider a framework for representing functional structures and manufacturing processes of nano-materials with relationships among them. We expand our former framework for representing functional knowledge based on our investigation through discussion with experts of nano-materials. The extended framework has two features: 1) it represents functional structures and manufacturing processes comprehensively, 2) it expresses parameters of function and ways with their dependencies because they are important for material design. Next, we describe a conceptual design support system we developed based on the framework with its functionalities. Lastly, we evaluate the utility of our system in terms of functionality for design supports. For this purpose, we tried to represent two real examples of material design. And then we did an evaluation experiment on conceptual design of material using our system with the collaboration of domain experts.

Alternative Classification Framework for Engineering Capability Enhancement

ERIC Educational Resources Information Center

Patamakajonpong, Mana; Chandarasupsang, Tirapot

2015-01-01

Purpose: This paper aims to present an alternative practical framework to classify the skill and knowledge of the individual trainees by comparing it with the expert in an organization. This framework gives the benefit to the organization in order to know the ability level of the personnel and to be able to provide the personnel development method…

High Possibility Classrooms as a Pedagogical Framework for Technology Integration in Classrooms: An Inquiry in Two Australian Secondary Schools

ERIC Educational Resources Information Center

Hunter, Jane

2017-01-01

Understanding how well teachers integrate digital technology in learning is the subject of considerable debate in education. High Possibility Classrooms (HPC) is a pedagogical framework drawn from research on exemplary teachers' knowledge of technology integration in Australian school classrooms. The framework is being used to support teachers who…

Rainbow: A Framework for Analysing Computer-Mediated Pedagogical Debates

ERIC Educational Resources Information Center

Baker, Michael; Andriessen, Jerry; Lund, Kristine; van Amelsvoort, Marie; Quignard, Matthieu

2007-01-01

In this paper we present a framework for analysing when and how students engage in a specific form of interactive knowledge elaboration in CSCL environments: broadening and deepening understanding of a space of debate. The framework is termed "Rainbow," as it comprises seven principal analytical categories, to each of which a colour is assigned,…

Using the Resources Framework to Design, Assess, and Refine Interventions on Pressure in Fluids

ERIC Educational Resources Information Center

Young, Daniel E.; Meredith, Dawn C.

2017-01-01

The resources framework provides a useful and generative model of student thinking and learning. In particular, it suggests various strategies for instruction such as priming resources and refining intuition that allow students to build on knowledge they already have. In this paper, we describe the affordances of the resources framework in guiding…

Should We Use a Capital Framework to Understand Culture? Applying Cultural Capital to Communities of Color

ERIC Educational Resources Information Center

Hinton, Kip Austin

2015-01-01

Social science research on communities of color has long been shaped by theories of social and cultural capital. This article is a hermeneutic reading of metaphorical capital frameworks, including community cultural wealth and funds of knowledge. Financial capital, the basis of these frameworks, is premised on unequal exchange. Money only becomes…

The Inquiry, Communication, Construction and Expression (ICCE) Framework for Understanding Learning Experiences in Games

ERIC Educational Resources Information Center

Shah, Mamta; Foster, Aroutis

2014-01-01

There is a paucity of research frameworks that focus on aiding game selection and use, analyzing the game as a holistic system, and studying learner experiences in games. There is a need for frameworks that provide a lens for understanding learning experiences afforded in digital games and facilitating knowledge construction and motivation to…

Using social knowledge networking technology to enable meaningful use of electronic health record technology in hospitals and health systems.

PubMed

Rangachari, Pavani

2014-12-01

Despite the federal policy momentum towards "meaningful use" of Electronic Health Records, the healthcare organizational literature remains replete with reports of unintended adverse consequences of implementing Electronic Health Records, including: increased work for clinicians, unfavorable workflow changes, and unexpected changes in communication patterns & practices. In addition to being costly and unsafe, these unintended adverse consequences may pose a formidable barrier to "meaningful use" of Electronic Health Records. Correspondingly, it is essential for hospital administrators to understand and detect the causes of unintended adverse consequences, to ensure successful implementation of Electronic Health Records. The longstanding Technology-in-Practice framework emphasizes the role of human agency in enacting structures of technology use or "technologies-in-practice." Given a set of unintended adverse consequences from health information technology implementation, this framework could help trace them back to specific actions (types of technology-in-practice) and institutional conditions (social structures). On the other hand, the more recent Knowledge-in-Practice framework helps understand how information and communication technologies ( e.g. , social knowledge networking systems) could be implemented alongside existing technology systems, to create new social structures, generate new knowledge-in-practice, and transform technology-in-practice. Therefore, integrating the two literature streams could serve the dual purpose of understanding and overcoming unintended adverse consequences of Electronic Health Record implementation. This paper seeks to: (1) review the theoretical literatures on technology use & implementation, and identify a framework for understanding & overcoming unintended adverse consequences of implementing Electronic Health Records; (2) outline a broad project proposal to test the applicability of the framework in enabling "meaningful use" of Electronic Health Records in a healthcare context; and (3) identify strategies for successful implementation of Electronic Health Records in hospitals & health systems, based on the literature review and application.

An application of the Hospital-in-the-Home unlearning context.

PubMed

Cegarra-Navarro, Juan-Gabriel; Wensley, Anthony K P; Sánchez-Polo, Maria-Teresa

2010-01-01

Many researchers who have investigated health care organizations have indicated that health care professionals are replete with outdated knowledge, and some researchers go even further to argue that without the presence of a context that facilitates unlearning (forgetting) practitioners may lose the ability to recognize relevant changes with respect to knowledge pertaining to all aspects of the health care sector and they may decide to rely on potentially out-of-date knowledge and inappropriate ways of interpreting data with attendant loss of decision quality and attendant risks. This article presents an analysis and develops a model of the factors that influence unlearning which is focused on the health care industry and is comprised of three constituent components: (1) a framework characterizing the lens through which individuals view situations; (2) a framework for characterizing how individual habits change; and (3) a framework for characterizing the manner in which emergent understandings are consolidated into existing knowledge and knowledge structures. The model was developed and analyzed using qualitative data from the Hospital-in-the-Home Unit of a Spanish Regional Hospital. From a practical perspective the article provides for the identification of factors that influence the nature and effectiveness of the unlearning context in Hospital-in-the-Home-Units in regional hospitals. This not only valuably adds to the knowledge of the way these units function but also may enable actions to be taken to improve the learning processes associated with such units, resulting in an improvement in the quality of knowledge used in day-to-day decision making. It is to be assumed that, as a result of improving the quality of knowledge used in decision making, the quality of decisions will be improved.

Predictive Models and Computational Toxicology (II IBAMTOX)

EPA Science Inventory

EPA’s ‘virtual embryo’ project is building an integrative systems biology framework for predictive models of developmental toxicity. One schema involves a knowledge-driven adverse outcome pathway (AOP) framework utilizing information from public databases, standardized ontologies...

Clinical Knowledge Governance Framework for Nationwide Data Infrastructure Projects.

PubMed

Wulff, Antje; Haarbrandt, Birger; Marschollek, Michael

2018-01-01

The availability of semantically-enriched and interoperable clinical information models is crucial for reusing once collected data across institutions like aspired in the German HiGHmed project. Funded by the Federal Ministry of Education and Research, this nationwide data infrastructure project adopts the openEHR approach for semantic modelling. Here, strong governance is required to define high-quality and reusable models. Design of a clinical knowledge governance framework for openEHR modelling in cross-institutional settings like HiGHmed. Analysis of successful practices from international projects, published ideas on archetype governance and own modelling experiences as well as modelling of BPMN processes. We designed a framework by presenting archetype variations, roles and responsibilities, IT support and modelling workflows. Our framework has great potential to make the openEHR modelling efforts manageable. Because practical experiences are rare, prospectively our work will be predestinated to evaluate the benefits of such structured governance approaches.

Analyzing Data Generated Through Deliberative Dialogue: Bringing Knowledge Translation Into Qualitative Analysis.

PubMed

Plamondon, Katrina M; Bottorff, Joan L; Cole, Donald C

2015-11-01

Deliberative dialogue (DD) is a knowledge translation strategy that can serve to generate rich data and bridge health research with action. An intriguing alternative to other modes of generating data, the purposeful and evidence-informed conversations characteristic of DD generate data inclusive of collective interpretations. These data are thus dialogic, presenting complex challenges for qualitative analysis. In this article, we discuss the nature of data generated through DD, orienting ourselves toward a theoretically grounded approach to analysis. We offer an integrated framework for analysis, balancing analytical strategies of categorizing and connecting with the use of empathetic and suspicious interpretive lenses. In this framework, data generation and analysis occur in concert, alongside engaging participants and synthesizing evidence. An example of application is provided, demonstrating nuances of the framework. We conclude with reflections on the strengths and limitations of the framework, suggesting how it may be relevant in other qualitative health approaches. © The Author(s) 2015.

Goldilocks and TPACK: Is the Construct "Just Right?"

ERIC Educational Resources Information Center

Brantley-Dias, Laurie; Ertmer, Peggy A.

2013-01-01

In the education community, the Technological Pedagogical Content Knowledge (TPACK) framework has become a popular construct for examining the types of teacher knowledge needed to achieve technology integration. In accordance with Katz and Raths's 'Goldilocks Principlen' (cited in Kagan, 1990), TPACK, with its seven knowledge domains, may be too…

Knowledge Management in Higher Education in Thailand

ERIC Educational Resources Information Center

Chumjit, Surat

2012-01-01

This study examines how knowledge management (KM) is applied to higher education in Thailand, and it will also examine whether higher education in Thailand is ready to combine KM with their educational missions in terms of teaching, research, administration, and strategic planning. Knowledge creation and social networking frameworks are used to…

Inside Pasteur's Quadrant: Knowledge Production in a Profession

ERIC Educational Resources Information Center

Tierney, William G.; Holley, Karri A.

2008-01-01

In this paper, we examine the current state of educational research through the framework of "use-inspired" knowledge. Previous discussions regarding the nature of educational research have disproportionately focused on the soft/applied nature of knowledge in the discipline or a need for methodological priority. After acknowledging these…

Strategizing Computer-Supported Collaborative Learning toward Knowledge Building

ERIC Educational Resources Information Center

Mukama, Evode

2010-01-01

The purpose of this paper is to explore how university students can develop knowledge in small task-based groups while acquiring hands-on computer skills. Inspired by the sociocultural perspective, this study presents a theoretical framework on co-construction of knowledge and on computer-supported collaborative learning. The participants were…

Difficult Knowledge and the English Classroom: A Catholic Framework Using Cormac McCarthy's "The Road"

ERIC Educational Resources Information Center

Jarvie, Scott; Burke, Kevin

2015-01-01

In this article, the authors explore the generative possibilities of risk-taking in the Catholic school English classroom. They associate pedagogical risk with what Deborah Britzman (1998) has called "difficult knowledge"--content that causes students to consider social trauma. Incorporating difficult knowledge meaningfully requires…

The Knowledge-Productive Corporate University

ERIC Educational Resources Information Center

Jansink, Femke; Kwakman, Kitty; Streumer, Jan

2005-01-01

Purpose: In this paper the concept of knowledge production is used as a framework to study Dutch corporate universities. Knowledge production serves not simply as a desirable aim of corporate universities, as the concept also offers guidelines for the design of corporate universities. The purpose is to clarify the extent to which corporate…

Preparing to Teach with ICT: Subject Knowledge, Didaktik and Improvisation

ERIC Educational Resources Information Center

Loveless, Avril

2007-01-01

The article argues that preparing to be, in Shulman's words, "ready, willing and able" to teach with ICT can be supported by an integrative framework of teacher professional knowledge which recognizes connections between subject domain knowledge, the didactic relation with information and communications technology (ICT), and an openness…

Collaborative Knowledge Production Model in the Field of Organizational Development

ERIC Educational Resources Information Center

Ramstad, Elise

2008-01-01

The paper proposes a framework for collaborative knowledge production in order to enhance the amount and quality of knowledge in the field of organizational development (OD). We distinguish three types of actors that offer development services for work organizations: academic R&D units, training and educational institutes and management…

Structured Statistical Models of Inductive Reasoning

ERIC Educational Resources Information Center

Kemp, Charles; Tenenbaum, Joshua B.

2009-01-01

Everyday inductive inferences are often guided by rich background knowledge. Formal models of induction should aim to incorporate this knowledge and should explain how different kinds of knowledge lead to the distinctive patterns of reasoning found in different inductive contexts. This article presents a Bayesian framework that attempts to meet…

Measuring Mathematics Teacher Educators' Knowledge of Technology Integrated Teaching: Instrument Development

ERIC Educational Resources Information Center

Getenet, Seyum Tekeher; Beswick, Kim

2013-01-01

This study describes the construction of a questionnaire instrument to measure mathematics teacher educators' knowledge for technology integrated mathematics teaching. The study was founded on a reconceptualisation of the generic Technological Pedagogical Content Knowledge framework in the specific context of mathematics teaching. Steps in the…

A Logical Framework for Service Migration Based Survivability

DTIC Science & Technology

2016-06-24

platforms; Service Migration Strategy Fuzzy Inference System Knowledge Base Fuzzy rules representing domain expert knowledge about implications of...service migration strategy. Our approach uses expert knowledge as linguistic reasoning rules and takes service programs damage assessment, service...programs complexity, and available network capability as input. The fuzzy inference system includes four components as shown in Figure 5: (1) a knowledge

Knowledge Discovery from Biomedical Ontologies in Cross Domains.

PubMed

Shen, Feichen; Lee, Yugyung

2016-01-01

In recent years, there is an increasing demand for sharing and integration of medical data in biomedical research. In order to improve a health care system, it is required to support the integration of data by facilitating semantic interoperability systems and practices. Semantic interoperability is difficult to achieve in these systems as the conceptual models underlying datasets are not fully exploited. In this paper, we propose a semantic framework, called Medical Knowledge Discovery and Data Mining (MedKDD), that aims to build a topic hierarchy and serve the semantic interoperability between different ontologies. For the purpose, we fully focus on the discovery of semantic patterns about the association of relations in the heterogeneous information network representing different types of objects and relationships in multiple biological ontologies and the creation of a topic hierarchy through the analysis of the discovered patterns. These patterns are used to cluster heterogeneous information networks into a set of smaller topic graphs in a hierarchical manner and then to conduct cross domain knowledge discovery from the multiple biological ontologies. Thus, patterns made a greater contribution in the knowledge discovery across multiple ontologies. We have demonstrated the cross domain knowledge discovery in the MedKDD framework using a case study with 9 primary biological ontologies from Bio2RDF and compared it with the cross domain query processing approach, namely SLAP. We have confirmed the effectiveness of the MedKDD framework in knowledge discovery from multiple medical ontologies.

Knowledge Discovery from Biomedical Ontologies in Cross Domains

PubMed Central

Shen, Feichen; Lee, Yugyung

2016-01-01

In recent years, there is an increasing demand for sharing and integration of medical data in biomedical research. In order to improve a health care system, it is required to support the integration of data by facilitating semantic interoperability systems and practices. Semantic interoperability is difficult to achieve in these systems as the conceptual models underlying datasets are not fully exploited. In this paper, we propose a semantic framework, called Medical Knowledge Discovery and Data Mining (MedKDD), that aims to build a topic hierarchy and serve the semantic interoperability between different ontologies. For the purpose, we fully focus on the discovery of semantic patterns about the association of relations in the heterogeneous information network representing different types of objects and relationships in multiple biological ontologies and the creation of a topic hierarchy through the analysis of the discovered patterns. These patterns are used to cluster heterogeneous information networks into a set of smaller topic graphs in a hierarchical manner and then to conduct cross domain knowledge discovery from the multiple biological ontologies. Thus, patterns made a greater contribution in the knowledge discovery across multiple ontologies. We have demonstrated the cross domain knowledge discovery in the MedKDD framework using a case study with 9 primary biological ontologies from Bio2RDF and compared it with the cross domain query processing approach, namely SLAP. We have confirmed the effectiveness of the MedKDD framework in knowledge discovery from multiple medical ontologies. PMID:27548262

Middle school students' beliefs about matter

NASA Astrophysics Data System (ADS)

Nakhleh, Mary B.; Samarapungavan, Ala; Saglam, Yilmaz

2005-05-01

The objective of this study was to examine middle school students' developing understanding of the nature of matter and to compare middle school students' ideas to those of elementary schools students, as was done by Nakhleh and Samarapungavan [J Res Sci Teach 36(7):777-805, 1999]. Nine middle school students were interviewed using a scripted, semistructured interview. The interview probed students' understanding of the composition and particulate (atomic/molecular) structure of a variety of material substances; the relationship between particulate structure and macroscopic properties such as fluidity and malleability; as well as understanding of processes such as phase transition and dissolving. The results indicate that most of the middle school students interviewed knew that matter was composed of atoms and molecules and some of them were able to use this knowledge to explain some processes such as phase transitions of water. In contrast, almost no elementary students knew that matter was composed of atoms and molecules. However, the middle school students were unable to consistently explain material properties or processes based on their knowledge of material composition. In contrast to elementary school students, who had scientifically inaccurate but relatively consistent (macrocontinuous or macroparticulate) knowledge frameworks, the middle school students could not be classified as having consistent knowledge frameworks because their ideas were very fragmented. The fragmentation of middle school students' ideas about matter probably reflects the difficulty of assimilating the microscopic level scientific knowledge acquired through formal instruction into students' initial macroscopic knowledge frameworks.

Team knowledge research: emerging trends and critical needs.

PubMed

Wildman, Jessica L; Thayer, Amanda L; Pavlas, Davin; Salas, Eduardo; Stewart, John E; Howse, William R

2012-02-01

This article provides a systematic review of the team knowledge literature and guidance for further research. Recent research has called attention to the need for the improved study and understanding of team knowledge. Team knowledge refers to the higher level knowledge structures that emerge from the interactions of individual team members. We conducted a systematic review of the team knowledge literature, focusing on empirical work that involves the measurement of team knowledge constructs. For each study, we extracted author degree area, study design type, study setting, participant type, task type, construct type, elicitation method, aggregation method, measurement timeline, and criterion domain. Our analyses demonstrate that many of the methodological characteristics of team knowledge research can be linked back to the academic training of the primary author and that there are considerable gaps in our knowledge with regard to the relationships between team knowledge constructs, the mediating mechanisms between team knowledge and performance, and relationships with criteria outside of team performance, among others. We also identify categories of team knowledge not yet examined based on an organizing framework derived from a synthesis of the literature. There are clear opportunities for expansion in the study of team knowledge; the science of team knowledge would benefit from a more holistic theoretical approach. Human factors researchers are increasingly involved in the study of teams. This review and the resulting organizing framework provide researchers with a summary of team knowledge research over the past 10 years and directions for improving further research.

Teaching for adaptive expertise in biomedical engineering ethics.

PubMed

Martin, Taylor; Rayne, Karen; Kemp, Nate J; Hart, Jack; Diller, Kenneth R

2005-04-01

This paper considers an approach to teaching ethics in bioengineering based on the How People Learn (HPL) framework. Curricula based on this framework have been effective in mathematics and science instruction from the kindergarten to the college levels. This framework is well suited to teaching bioengineering ethics because it helps learners develop "adaptive expertise". Adaptive expertise refers to the ability to use knowledge and experience in a domain to learn in unanticipated situations. It differs from routine expertise, which requires using knowledge appropriately to solve routine problems. Adaptive expertise is an important educational objective for bioengineers because the regulations and knowledge base in the discipline are likely to change significantly over the course of their careers. This study compares the performance of undergraduate bioengineering students who learned about ethics for stem cell research using the HPL method of instruction to the performance of students who learned following a standard lecture sequence. Both groups learned the factual material equally well, but the HPL group was more prepared to act adaptively when presented with a novel situation.

The National Health Service Knowledge and Skills Framework and its implications for continuing professional development in nursing.

PubMed

Gould, Dinah; Berridge, Emma-Jane; Kelly, Daniel

2007-01-01

The National Health Service Knowledge and Skills Framework has been introduced as part of the Agenda for Change Reforms in the United Kingdom to link pay and career progression to competency. The purpose of this paper is to consider the implications for nurses, their managers and the impact on university departments delivering continuing professional development for nurses. The new system has the potential to increase the human resources management aspect of the clinical nurse managers' role and could have legal implications, for example if practitioners perceive that their needs for continuing professional development have been overlooked to the detriment of their pay and career aspirations. The new system also has implications for providers of continuing professional development in the universities and is likely to demand closer liaison between education providers and trust staff who commission education and training. The Knowledge and Skills Framework is of interest to nurses and nurse educators internationally because the system, if effective, could be introduced elsewhere.

A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.

PubMed

El-Sappagh, Shaker; Elmogy, Mohammed; Riad, A M

2015-11-01

Case-based reasoning (CBR) is a problem-solving paradigm that uses past knowledge to interpret or solve new problems. It is suitable for experience-based and theory-less problems. Building a semantically intelligent CBR that mimic the expert thinking can solve many problems especially medical ones. Knowledge-intensive CBR using formal ontologies is an evolvement of this paradigm. Ontologies can be used for case representation and storage, and it can be used as a background knowledge. Using standard medical ontologies, such as SNOMED CT, enhances the interoperability and integration with the health care systems. Moreover, utilizing vague or imprecise knowledge further improves the CBR semantic effectiveness. This paper proposes a fuzzy ontology-based CBR framework. It proposes a fuzzy case-base OWL2 ontology, and a fuzzy semantic retrieval algorithm that handles many feature types. This framework is implemented and tested on the diabetes diagnosis problem. The fuzzy ontology is populated with 60 real diabetic cases. The effectiveness of the proposed approach is illustrated with a set of experiments and case studies. The resulting system can answer complex medical queries related to semantic understanding of medical concepts and handling of vague terms. The resulting fuzzy case-base ontology has 63 concepts, 54 (fuzzy) object properties, 138 (fuzzy) datatype properties, 105 fuzzy datatypes, and 2640 instances. The system achieves an accuracy of 97.67%. We compare our framework with existing CBR systems and a set of five machine-learning classifiers; our system outperforms all of these systems. Building an integrated CBR system can improve its performance. Representing CBR knowledge using the fuzzy ontology and building a case retrieval algorithm that treats different features differently improves the accuracy of the resulting systems. Copyright © 2015 Elsevier B.V. All rights reserved.

Application of data mining in performance measures

NASA Astrophysics Data System (ADS)

Chan, Michael F. S.; Chung, Walter W.; Wong, Tai Sun

2001-10-01

This paper proposes a structured framework for exploiting data mining application for performance measures. The context is set in an airline company is illustrated for the use of such framework. The framework takes in consideration of how a knowledge worker interacts with performance information at the enterprise level to support them to make informed decision in managing the effectiveness of operations. A case study of applying data mining technology for performance data in an airline company is illustrated. The use of performance measures is specifically applied to assist in the aircraft delay management process. The increasingly dispersed and complex operations of airline operation put much strain on the part of knowledge worker in using search, acquiring and analyzing information to manage performance. One major problem faced with knowledge workers is the identification of root causes of performance deficiency. The large amount of factors involved in the analyze the root causes can be time consuming and the objective of applying data mining technology is to reduce the time and resources needed for such process. The increasing market competition for better performance management in various industries gives rises to need of the intelligent use of data. Because of this, the framework proposed here is very much generalizable to industries such as manufacturing. It could assist knowledge workers who are constantly looking for ways to improve operation effectiveness through new initiatives and the effort is required to be quickly done to gain competitive advantage in the marketplace.

Automatized spleen segmentation in non-contrast-enhanced MR volume data using subject-specific shape priors

NASA Astrophysics Data System (ADS)

Gloger, Oliver; Tönnies, Klaus; Bülow, Robin; Völzke, Henry

2017-07-01

To develop the first fully automated 3D spleen segmentation framework derived from T1-weighted magnetic resonance (MR) imaging data and to verify its performance for spleen delineation and volumetry. This approach considers the issue of low contrast between spleen and adjacent tissue in non-contrast-enhanced MR images. Native T1-weighted MR volume data was performed on a 1.5 T MR system in an epidemiological study. We analyzed random subsamples of MR examinations without pathologies to develop and verify the spleen segmentation framework. The framework is modularized to include different kinds of prior knowledge into the segmentation pipeline. Classification by support vector machines differentiates between five different shape types in computed foreground probability maps and recognizes characteristic spleen regions in axial slices of MR volume data. A spleen-shape space generated by training produces subject-specific prior shape knowledge that is then incorporated into a final 3D level set segmentation method. Individually adapted shape-driven forces as well as image-driven forces resulting from refined foreground probability maps steer the level set successfully to the segment the spleen. The framework achieves promising segmentation results with mean Dice coefficients of nearly 0.91 and low volumetric mean errors of 6.3%. The presented spleen segmentation approach can delineate spleen tissue in native MR volume data. Several kinds of prior shape knowledge including subject-specific 3D prior shape knowledge can be used to guide segmentation processes achieving promising results.

Plant-Soil Feedback: Bridging Natural and Agricultural Sciences.

PubMed

Mariotte, Pierre; Mehrabi, Zia; Bezemer, T Martijn; De Deyn, Gerlinde B; Kulmatiski, Andrew; Drigo, Barbara; Veen, G F Ciska; van der Heijden, Marcel G A; Kardol, Paul

2018-02-01

In agricultural and natural systems researchers have demonstrated large effects of plant-soil feedback (PSF) on plant growth. However, the concepts and approaches used in these two types of systems have developed, for the most part, independently. Here, we present a conceptual framework that integrates knowledge and approaches from these two contrasting systems. We use this integrated framework to demonstrate (i) how knowledge from complex natural systems can be used to increase agricultural resource-use efficiency and productivity and (ii) how research in agricultural systems can be used to test hypotheses and approaches developed in natural systems. Using this framework, we discuss avenues for new research toward an ecologically sustainable and climate-smart future. Copyright © 2017 Elsevier Ltd. All rights reserved.

Development of a competency framework for evidence-based practice in nursing.

PubMed

Leung, Kat; Trevena, Lyndal; Waters, Donna

2016-04-01

The measurement of competence in evidence-based practice (EBP) remains challenging to many educators and academics due to the lack of explicit competency criteria. Much uncertainty exists about what specific EBP competencies nurses should meet and how these should be measured. The objectives of this study are to develop a competency framework for measuring evidence-based knowledge and skills in nursing and to elicit the views of health educators/researchers about elements within the framework. A descriptive survey design with questionnaire. Between August and December 2013, forty-two health academics/educators, clinicians; and researchers from the medical and nursing schools at the University of Sydney and the Nurse Teacher's Society in Australia were invited to comment on proposed elements for measuring evidence-based knowledge and skills. The EBP competency framework was designed to measure nurses' knowledge and skills for using evidence in practice. Participants were invited to rate their agreement on the structure and relevance of the framework and to state their opinion about the measurement criteria for evidence-based nursing practice. Participant agreement on the structure and relevance of the framework was substantial, ICC: 0.80, 95% CI: 0.67-0.88, P<0.0001. Qualitative analysis of two open-ended survey questions revealed three common themes in participants' opinion of the competency elements: (1) a useful EBP framework; (2) varying expectations of EBP competence; and (3) challenges to EBP implementation. The findings of this study suggested that the EBP competency framework is of credible value for facilitating evidence-based practice education and research in nursing. However, there remains some uncertainty and disagreement about the levels of EBP competence required for nurses. These challenges further implicate the need for setting a reasonable competency benchmark with a broader group of stakeholders in nursing. Copyright © 2016 Elsevier Ltd. All rights reserved.

Disseminating research findings: what should researchers do? A systematic scoping review of conceptual frameworks

PubMed Central

2010-01-01

Background Addressing deficiencies in the dissemination and transfer of research-based knowledge into routine clinical practice is high on the policy agenda both in the UK and internationally. However, there is lack of clarity between funding agencies as to what represents dissemination. Moreover, the expectations and guidance provided to researchers vary from one agency to another. Against this background, we performed a systematic scoping to identify and describe any conceptual/organising frameworks that could be used by researchers to guide their dissemination activity. Methods We searched twelve electronic databases (including MEDLINE, EMBASE, CINAHL, and PsycINFO), the reference lists of included studies and of individual funding agency websites to identify potential studies for inclusion. To be included, papers had to present an explicit framework or plan either designed for use by researchers or that could be used to guide dissemination activity. Papers which mentioned dissemination (but did not provide any detail) in the context of a wider knowledge translation framework, were excluded. References were screened independently by at least two reviewers; disagreements were resolved by discussion. For each included paper, the source, the date of publication, a description of the main elements of the framework, and whether there was any implicit/explicit reference to theory were extracted. A narrative synthesis was undertaken. Results Thirty-three frameworks met our inclusion criteria, 20 of which were designed to be used by researchers to guide their dissemination activities. Twenty-eight included frameworks were underpinned at least in part by one or more of three different theoretical approaches, namely persuasive communication, diffusion of innovations theory, and social marketing. Conclusions There are currently a number of theoretically-informed frameworks available to researchers that can be used to help guide their dissemination planning and activity. Given the current emphasis on enhancing the uptake of knowledge about the effects of interventions into routine practice, funders could consider encouraging researchers to adopt a theoretically-informed approach to their research dissemination. PMID:21092164

Evaluating a Web-Based Educational Module on Oral Cancer Examination Based on a Behavioral Framework.

PubMed

Wee, Alvin G; Zimmerman, Lani M; Pullen, Carol H; Allen, Carl M; Lambert, Paul M; Paskett, Electra D

2016-03-01

Patients at risk of developing oral and/or oropharyngeal cancer (OPC) are more likely to see primary care providers (PCPs) than a dentist. Many PCPs do not regularly perform oral cancer examination (OCE). The purpose of this study was to design a web-based educational program based on a behavioral framework to encourage PCPs to conduct OCE. PCPs were solicited to provide feedback on the program and to evaluate their short-term knowledge. The integrated behavioral model was used to design the program. Fifteen PCPs (five in each group: physicians, physician assistants, and nurse practitioners) reviewed the program and took a posttest: (1) index of knowledge of risk factors for oral cancer (RiskOC) and (2) index of knowledge of diagnostic procedures for oral cancer (DiagOC). Findings from the process evaluation were mainly positive, with comments on the length of the program comprising the ten negative comments. No significant difference among groups of PCPs (physicians, physician assistants, and nurse practitioners) was detected for DiagOC (p = 0.43) or RiskOC (p = 0.201). A program on OPC for PCPs should be less than 40 min. Postviewing knowledge outcomes were similar for all PCPs. The web-based program on OPC based on a behavioral framework could have similar short-term knowledge outcomes for all PCPs and may increase the number of PCPs performing OCEs.

Meta-Synthetic Support Frameworks for Reuse of Government Information Resources on City Travel and Traffic: The Case of Beijing

ERIC Educational Resources Information Center

An, Xiaomi; Xu, Shaotong; Mu, Yong; Wang, Wei; Bai, Xian Yang; Dawson, Andy; Han, Hongqi

2012-01-01

Purpose: The purpose of this paper is to propose meta-synthetic ideas and knowledge asset management approaches to build a comprehensive strategic framework for Beijing City in China. Design/methodology/approach: Methods include a review of relevant literature in both English and Chinese, case studies of different types of support frameworks in…

Challenges and promises of integrating knowledge engineering and qualitative methods

NASA Astrophysics Data System (ADS)

Lundberg, C. Gustav; Holm, Gunilla

Our goal is to expose some of the close ties that exist between knowledge engineering (KE) and qualitative methodology (QM). Many key concepts of qualitative research, for example meaning, commonsense, understanding, and everyday life, overlap with central research concerns in artificial intelligence. These shared interests constitute a largely unexplored avenue for interdisciplinary cooperation. We compare and take some steps toward integrating two historically diverse methodologies by exploring the commonalities of KE and QM both from a substantive and a methodological/technical perspective. In the second part of this essay, we address knowledge acquisition problems and procedures. Knowledge acquisition within KE has been based primarily on cognitive psychology/science foundations, whereas knowledge acquisition within QM has a broader foundation in phenomenology, symbolic interactionism, and ethnomethodology. Our discussion and examples are interdisciplinary in nature. We do not suggest that there is a clash between the KE and QM frameworks, but rather that the lack of communication potentially may limit each framework's future development.

Knowledge integration: conceptualizing communications in cancer control systems.

PubMed

Best, Allan; Hiatt, Robert A; Norman, Cameron D

2008-06-01

This paper was prepared by the National Cancer Institute of Canada (NCIC) Working Group on Translational Research and Knowledge Transfer. The goal was to nurture common ground upon which to build a platform for translating what we know about cancer into what we do in practice and policy. Methods included expert panels, literature review, and concept mapping, to develop a framework that built on earlier cancer control conceptualizations of communications that have guided researchers and end users. The concept of 'knowledge integration' is used to describe the resulting refinement and the nature of evidence necessary for decision-making to at the systems level. Current evidence for knowledge integration in cancer control is presented across the levels of individual, organizational and systems level interventions and across basic, clinical and population science knowledge bases. A systems-oriented approach to integrating evidence into action assists organizations to conduct research and policy and practice. Practitioners can use this framework to understand the challenges of implementing and evaluating cancer control strategies.

Ontology to relational database transformation for web application development and maintenance

NASA Astrophysics Data System (ADS)

Mahmudi, Kamal; Inggriani Liem, M. M.; Akbar, Saiful

2018-03-01

Ontology is used as knowledge representation while database is used as facts recorder in a KMS (Knowledge Management System). In most applications, data are managed in a database system and updated through the application and then they are transformed to knowledge as needed. Once a domain conceptor defines the knowledge in the ontology, application and database can be generated from the ontology. Most existing frameworks generate application from its database. In this research, ontology is used for generating the application. As the data are updated through the application, a mechanism is designed to trigger an update to the ontology so that the application can be rebuilt based on the newest ontology. By this approach, a knowledge engineer has a full flexibility to renew the application based on the latest ontology without dependency to a software developer. In many cases, the concept needs to be updated when the data changed. The framework is built and tested in a spring java environment. A case study was conducted to proof the concepts.

Promoting Reflective Physics Teaching Through the Use of Collaborative Learning Annotation System

NASA Astrophysics Data System (ADS)

Milner-Bolotin, Marina

2018-05-01

Effective physics teaching requires extensive knowledge of physics, relevant pedagogies, and modern educational technologies that can support student learning. Acquiring this knowledge is a challenging task, considering how fast modern technologies and expectations of student learning outcomes and of teaching practices are changing Therefore 21st-century physics teachers should be supported in developing a different way of thinking about technology-enhanced physics teaching and learning. We call it Deliberate Pedagogical Thinking with Technology, and base it on the original Pedagogical Content Knowledge and Technological Pedagogical Content Knowledge frameworks. However, unlike the two aforementioned frameworks, the Deliberate Pedagogical Thinking with Technology emphasizes not only teachers' knowledge, but also their attitudes and dispositions about using digital tools in order to support student learning. This paper examines how an online system that allows an ongoing discussion of videos uploaded on it by the students can support reflection in physics teacher education. Examples of using such a system in physics teacher education and teacher-candidates' feedback on their experiences with it are also discussed.

Memory-Based Simple Heuristics as Attribute Substitution: Competitive Tests of Binary Choice Inference Models.

PubMed

Honda, Hidehito; Matsuka, Toshihiko; Ueda, Kazuhiro

2017-05-01

Some researchers on binary choice inference have argued that people make inferences based on simple heuristics, such as recognition, fluency, or familiarity. Others have argued that people make inferences based on available knowledge. To examine the boundary between heuristic and knowledge usage, we examine binary choice inference processes in terms of attribute substitution in heuristic use (Kahneman & Frederick, 2005). In this framework, it is predicted that people will rely on heuristic or knowledge-based inference depending on the subjective difficulty of the inference task. We conducted competitive tests of binary choice inference models representing simple heuristics (fluency and familiarity heuristics) and knowledge-based inference models. We found that a simple heuristic model (especially a familiarity heuristic model) explained inference patterns for subjectively difficult inference tasks, and that a knowledge-based inference model explained subjectively easy inference tasks. These results were consistent with the predictions of the attribute substitution framework. Issues on usage of simple heuristics and psychological processes are discussed. Copyright © 2016 Cognitive Science Society, Inc.

The Body of Knowledge & Content Framework. Identifying the Important Knowledge Required for Productive Performance of a Plastics Machine Operator. Blow Molding, Extrusion, Injection Molding, Thermoforming.

ERIC Educational Resources Information Center

Society of the Plastics Industry, Inc., Washington, DC.

Designed to guide training and curriculum development to prepare machine operators for the national certification exam, this publication identifies the important knowledge required for productive performance by a plastics machine operator. Introductory material discusses the rationale for a national standard, uses of the Body of Knowledge,…

Transfer and Conceptual Change: The Change Process from the Theoretical Perspectives of Coordination Classes and Phenomenological Primitives

ERIC Educational Resources Information Center

Ozdemir, Omer F.

2013-01-01

The purpose of this study is to understand the nature of pre-instructional knowledge transferred by students into problem situations and the change process on students' knowledge system during classroom discussions. This study was framed by two interrelated theoretical frameworks on knowledge structures, phenomenological primitives and…

Assessing College Student Subjective and Objective Knowledge in an Online Financial Education Program

ERIC Educational Resources Information Center

Bowles, Charity

2017-01-01

Purpose: This purpose of this correlational study using Joo's (2008) financial wellness framework was to determine the impact of an online financial literacy workshop on student subjective knowledge, dependent on indicators of stress, behavior, and objective knowledge, when controlling for demographic differences at a large public university.…

Drawing on Dynamic Local Knowledge through Student-Generated Photography

ERIC Educational Resources Information Center

Coles-Ritchie, Marilee; Monson, Bayley; Moses, Catherine

2015-01-01

In this research, the authors explored how teachers using student-generated photography draw on local knowledge. The study draws on the framework of funds of knowledge to highlight the assets marginalized students bring to the classroom and the need for culturally relevant pedagogy to address the needs of a diverse public school population. The…

Knowledge Management in Sustainability Research Projects: Concepts, Effective Models, and Examples in a Multi-Stakeholder Environment

ERIC Educational Resources Information Center

Kaiser, David Brian; Köhler, Thomas; Weith, Thomas

2016-01-01

This article aims to sketch a conceptual design for an information and knowledge management system in sustainability research projects. The suitable frameworks to implement knowledge transfer models constitute social communities, because the mutual exchange and learning processes among all stakeholders promote key sustainable developments through…

Craft Knowledge: Of Disciplinarity in Writing Studies

ERIC Educational Resources Information Center

Johnson, Robert R.

2010-01-01

This article argues that craft knowledge can provide a disciplinary rationale for writing studies. It draws from the ancient concepts of teche, phronesis, and the four causes of making and makes the case for a definition of disciplinary knowledge fitting for writing studies. The article concludes with a conceptual framework that can serve as a…

Supporting Self-Regulated Personalised Learning through Competence-Based Knowledge Space Theory

ERIC Educational Resources Information Center

Steiner, Christina M.; Nussbaumer, Alexander; Albert, Dietrich

2009-01-01

This article presents two current research trends in e-learning that at first sight appear to compete. Competence-Based Knowledge Space Theory (CBKST) provides a knowledge representation framework which, since its invention by Doignon & Falmagne, has been successfully applied in various e-learning systems (for example, Adaptive Learning with…

Developing a Knowledge Management Framework to Assist With Current USMC Information Management Practices

DTIC Science & Technology

2010-09-01

OF CONTENTS I. INTRODUCTION ........................................................................................................1 II. LITERATURE...LEFT BLANK 1 I. INTRODUCTION Marine Corps Information Management is performed in accordance with Marine Corps Warfighting Publication (MCWP) 3...November 13). Air Force Center of Excellence for Knowledge Mangement Briefing. Washington, D.C. Alavi, M., & Leidner, D. E. (2001). Review: Knowledge

Investigating the Knowledge Needed for Teaching Mathematics: An Exploratory Validation Study Focusing on Teaching Practices

ERIC Educational Resources Information Center

Charalambous, Charalambos Y.

2016-01-01

Central in the frameworks proposed to capture the knowledge needed for teaching mathematics is the assumption that teachers need more than pure subject-matter knowledge. Validation studies exploring this assumption by recruiting contrasting populations are relatively scarce. Drawing on a sample of 644 Greek-Cypriots preservice and inservice…

Knowledge Management in Preserving Ecosystems: The Case of Seoul

ERIC Educational Resources Information Center

Lee, Jeongseok

2009-01-01

This study explores the utility of employing knowledge management as a framework for understanding how public managers perform ecosystem management. It applies the grounded theory method to build a model. The model is generated by applying the concept of knowledge process to an investigation of how the urban ecosystem is publicly managed by civil…

Use of Recreation Specialization to Understand Resource Knowledge of Trout Anglers

ERIC Educational Resources Information Center

Morgan, Mark; Soucy, Jeremy

2008-01-01

This study combined the activity involvement and place attachment scores of trout anglers at Montauk State Park (Missouri, USA) into a typology of recreation specialization. The framework was used to explain anglers' knowledge of park resources. Highly specialized anglers were more knowledgeable about the park than those who were less specialized.…

Mathematics Teachers' Knowledge of Student Thinking and Its Evidences in Their Instruction

ERIC Educational Resources Information Center

Çelik, Aytug Özaltun; Güzel, Esra Bukova

2017-01-01

The aim of this case study is to examine mathematics teachers' knowledge of students' thinking and its evidences in their teaching. The participants were three secondary mathematics teachers. Data were gathered from interviews and observations. While analyzing the data, the framework about teachers' knowledge of students' thinking was used. The…

A Truth-Based Epistemological Framework for Supporting Teachers in Integrating Indigenous Knowledge into Science Teaching

ERIC Educational Resources Information Center

Zinyeka, Gracious; Onwu, Gilbert O.M.; Braun, Max

2016-01-01

Integrating indigenous knowledge (IK) into school science teaching is one way of maximising the socio-cultural relevance of science education for enhanced learners' performance. The epistemological differences however between the nature of science (NOS) and nature of indigenous knowledge (NOIK) constitute a major challenge for an inclusive…

The Development of Scientific Knowledge in Elementary School Children: A Context of Meaning Perspective.

ERIC Educational Resources Information Center

Bloom, J. W.

1992-01-01

Children in grade one (n=8) and grade five (n=9) were interviewed to determine the influence of contexts of meaning on their knowledge of earthworms. Four components of contexts of meaning were identified and discussed: episodic knowledge, metaphors, interpretive frameworks, and emotions-values-aesthetics. (Contains 20 references.) (MDH)

Knowledge of Algebra for Teaching: A Framework of Knowledge and Practices

ERIC Educational Resources Information Center

McCrory, Raven; Floden, Robert; Ferrini-Mundy, Joan; Reckase, Mark D.; Senk, Sharon L.

2012-01-01

Defining what teachers need to know to teach algebra successfully is important for informing teacher preparation and professional development efforts. Based on prior research, analysis of video, interviews with teachers, and analysis of textbooks, we define categories of knowledge and practices of teaching for understanding and assessing teachers'…

The Development of Scientific Knowledge of the Earth

ERIC Educational Resources Information Center

Nobes, Gavin; Martin, Alan E.; Panagiotaki, Georgia

2005-01-01

Investigation of children's knowledge of the Earth can reveal much about the origins, content and structure of scientific knowledge, and the processes of conceptual change and development. Vosniadou and Brewer (1992, claim that children construct coherent mental models of a flat, flattened, or hollow Earth based on a framework theory and intuitive…

PhD Pedagogy and the Changing Knowledge Landscapes of Universities

ERIC Educational Resources Information Center

Adkins, Barbara

2009-01-01

PhD supervision is increasingly embedded in frameworks that link research to issues of knowledge transfer involving the translation of knowledge to domains outside the university where it can be taken up and applied. This tends to require research that goes beyond traditional disciplinary boundaries and raises questions of the nature of knowledge…

Beliefs about Knowledge, Knowing, and Learning: Differences across Knowledge Types in Physics

ERIC Educational Resources Information Center

Muis, Krista R.; Gierus, Bogusia

2014-01-01

The authors examined whether students' epistemic and learning beliefs varied across different knowledge types in physics. On the basis of various beliefs frameworks, the authors predicted that individuals' beliefs would vary within a domain across the same content when presented conceptually versus procedurally. Participants were 81 high…

Funds of High School to College Knowledge: Exploring Low-Income Student Perceptions of College Writing

ERIC Educational Resources Information Center

Relles, Stefani R.

2017-01-01

This narrative study tracks low-income student perceptions of college writing. The study uses the Funds of Knowledge theoretical framework to suggest that underperforming high schools--like diverse households and families--socialize students into bodies of knowledge that are academically relevant regardless of whether or not they resemble…

Theory and knowledge translation: setting some coordinates.

PubMed

Rycroft-Malone, Jo

2007-01-01

In a healthcare context in which research evidence is not used routinely in practice, there have been increasingly loud calls for the use of theory from investigators working in the field of knowledge translation. Implementation researchers argue that theory should be used to guide the design of testable and practical intervention strategies, and thus, contribute to generalizable knowledge about implementation interventions. The purpose of this commentary is to critique model papers writing by a team of scholars who aimed to disentangle some of the relationships determining research utilization, by scrutinizing an existing conceptual framework that acknowledges, along with other factors, the importance of contextual factors in knowledge translation. These papers are used as a vehicle to explore theory application in knowledge translation research. As theory use and development is in its infancy, some key issues, including different ideological perspectives, factors for and against theory use, ensuring conceptual clarity, selecting coherent overarching frameworks, and choosing appropriately among theories, are considered. Finally, an agenda for theory-informed research is outlined, which highlights the need for scholarly, pluralistic, and collaborative activity if the state of knowledge translation science is to advance.

Putting program evaluation to work: a framework for creating actionable knowledge for suicide prevention practice.

PubMed

Wilkins, Natalie; Thigpen, Sally; Lockman, Jennifer; Mackin, Juliette; Madden, Mary; Perkins, Tamara; Schut, James; Van Regenmorter, Christina; Williams, Lygia; Donovan, John

2013-06-01

The economic and human cost of suicidal behavior to individuals, families, communities, and society makes suicide a serious public health concern, both in the US and around the world. As research and evaluation continue to identify strategies that have the potential to reduce or ultimately prevent suicidal behavior, the need for translating these findings into practice grows. The development of actionable knowledge is an emerging process for translating important research and evaluation findings into action to benefit practice settings. In an effort to apply evaluation findings to strengthen suicide prevention practice, the Centers for Disease Control and Prevention (CDC) and the Substance Abuse and Mental Health Services Administration (SAMHSA) supported the development of three actionable knowledge products that make key findings and lessons learned from youth suicide prevention program evaluations accessible and useable for action. This paper describes the actionable knowledge framework (adapted from the knowledge transfer literature), the three products that resulted, and recommendations for further research into this emerging method for translating research and evaluation findings and bridging the knowledge-action gap.

On the Epistemological Crisis in Genomics

PubMed Central

Dougherty, Edward R

2008-01-01

There is an epistemological crisis in genomics. At issue is what constitutes scientific knowledge in genomic science, or systems biology in general. Does this crisis require a new perspective on knowledge heretofore absent from science or is it merely a matter of interpreting new scientific developments in an existing epistemological framework? This paper discusses the manner in which the experimental method, as developed and understood over recent centuries, leads naturally to a scientific epistemology grounded in an experimental-mathematical duality. It places genomics into this epistemological framework and examines the current situation in genomics. Meaning and the constitution of scientific knowledge are key concerns for genomics, and the nature of the epistemological crisis in genomics depends on how these are understood. PMID:19440447

ECO: A Framework for Entity Co-Occurrence Exploration with Faceted Navigation

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

Halliday, K. D.

2010-08-20

Even as highly structured databases and semantic knowledge bases become more prevalent, a substantial amount of human knowledge is reported as written prose. Typical textual reports, such as news articles, contain information about entities (people, organizations, and locations) and their relationships. Automatically extracting such relationships from large text corpora is a key component of corporate and government knowledge bases. The primary goal of the ECO project is to develop a scalable framework for extracting and presenting these relationships for exploration using an easily navigable faceted user interface. ECO uses entity co-occurrence relationships to identify related entities. The system aggregates andmore » indexes information on each entity pair, allowing the user to rapidly discover and mine relational information.« less

HRM in the Knowledge-based Economy: Is There an Afterlife?

ERIC Educational Resources Information Center

Raich, Mario

2002-01-01

Explains changes in the workplace attributed to the knowledge economy and poses questions for businesses, workers, and the human resources function. Outlines new expectations of and a new framework for human resource management. (SK)

Presenting an Approach for Conducting Knowledge Architecture within Large-Scale Organizations

PubMed Central

Varaee, Touraj; Habibi, Jafar; Mohaghar, Ali

2015-01-01

Knowledge architecture (KA) establishes the basic groundwork for the successful implementation of a short-term or long-term knowledge management (KM) program. An example of KA is the design of a prototype before a new vehicle is manufactured. Due to a transformation to large-scale organizations, the traditional architecture of organizations is undergoing fundamental changes. This paper explores the main strengths and weaknesses in the field of KA within large-scale organizations and provides a suitable methodology and supervising framework to overcome specific limitations. This objective was achieved by applying and updating the concepts from the Zachman information architectural framework and the information architectural methodology of enterprise architecture planning (EAP). The proposed solution may be beneficial for architects in knowledge-related areas to successfully accomplish KM within large-scale organizations. The research method is descriptive; its validity is confirmed by performing a case study and polling the opinions of KA experts. PMID:25993414

Presenting an Approach for Conducting Knowledge Architecture within Large-Scale Organizations.

PubMed

Varaee, Touraj; Habibi, Jafar; Mohaghar, Ali

2015-01-01

Knowledge architecture (KA) establishes the basic groundwork for the successful implementation of a short-term or long-term knowledge management (KM) program. An example of KA is the design of a prototype before a new vehicle is manufactured. Due to a transformation to large-scale organizations, the traditional architecture of organizations is undergoing fundamental changes. This paper explores the main strengths and weaknesses in the field of KA within large-scale organizations and provides a suitable methodology and supervising framework to overcome specific limitations. This objective was achieved by applying and updating the concepts from the Zachman information architectural framework and the information architectural methodology of enterprise architecture planning (EAP). The proposed solution may be beneficial for architects in knowledge-related areas to successfully accomplish KM within large-scale organizations. The research method is descriptive; its validity is confirmed by performing a case study and polling the opinions of KA experts.

Knowledge is power: how conceptual knowledge transforms visual cognition.

PubMed

Collins, Jessica A; Olson, Ingrid R

2014-08-01

In this review, we synthesize the existing literature demonstrating the dynamic interplay between conceptual knowledge and visual perceptual processing. We consider two theoretical frameworks that demonstrate interactions between processes and brain areas traditionally considered perceptual or conceptual. Specifically, we discuss categorical perception, in which visual objects are represented according to category membership, and highlight studies showing that category knowledge can penetrate early stages of visual analysis. We next discuss the embodied account of conceptual knowledge, which holds that concepts are instantiated in the same neural regions required for specific types of perception and action, and discuss the limitations of this framework. We additionally consider studies showing that gaining abstract semantic knowledge about objects and faces leads to behavioral and electrophysiological changes that are indicative of more efficient stimulus processing. Finally, we consider the role that perceiver goals and motivation may play in shaping the interaction between conceptual and perceptual processing. We hope to demonstrate how pervasive such interactions between motivation, conceptual knowledge, and perceptual processing are in our understanding of the visual environment, and to demonstrate the need for future research aimed at understanding how such interactions arise in the brain.

Knowledge is Power: How Conceptual Knowledge Transforms Visual Cognition

PubMed Central

Collins, Jessica A.; Olson, Ingrid R.

2014-01-01

In this review we synthesize the existing literature demonstrating the dynamic interplay between conceptual knowledge and visual perceptual processing. We consider two theoretical frameworks demonstrating interactions between processes and brain areas traditionally considered perceptual or conceptual. Specifically, we discuss categorical perception, in which visual objects are represented according to category membership, and highlight studies showing that category knowledge can penetrate early stages of visual analysis. We next discuss the embodied account of conceptual knowledge, which holds that concepts are instantiated in the same neural regions required for specific types of perception and action, and discuss the limitations of this framework. We additionally consider studies showing that gaining abstract semantic knowledge about objects and faces leads to behavioral and electrophysiological changes that are indicative of more efficient stimulus processing. Finally, we consider the role that perceiver goals and motivation may play in shaping the interaction between conceptual and perceptual processing. We hope to demonstrate how pervasive such interactions between motivation, conceptual knowledge, and perceptual processing are to our understanding of the visual environment, and demonstrate the need for future research aimed at understanding how such interactions arise in the brain. PMID:24402731

Identifying 21st Century STEM Competencies Using Workplace Data

NASA Astrophysics Data System (ADS)

Jang, Hyewon

2016-04-01

Gaps between science, technology, engineering, and mathematics (STEM) education and required workplace skills have been identified in industry, academia, and government. Educators acknowledge the need to reform STEM education to better prepare students for their future careers. We pursue this growing interest in the skills needed for STEM disciplines and ask whether frameworks for 21st century skills and engineering education cover all of important STEM competencies. In this study, we identify important STEM competencies and evaluate the relevance of current frameworks applied in education using the standardized job-specific database operated and maintained by the US Department of Labor. Our analysis of the importance of 109 skills, types of knowledge and work activities, revealed 18 skills, seven categories of knowledge, and 27 work activities important for STEM workers. We investigate the perspectives of STEM and non-STEM job incumbents, comparing the importance of each skill, knowledge, and work activity for the two groups. We aimed to condense dimensions of the 52 key areas by categorizing them according to the Katz and Kahn (1978) framework and testing for inter-rater reliability. Our findings show frameworks for 21st century skills and engineering education do not encompass all important STEM competencies. Implications for STEM education programs are discussed, including how they can bridge gaps between education and important workplace competencies.

A framework of analysis for field experiments with alternative materials in road construction.

PubMed

François, D; Jullien, A

2009-01-01

In France, a wide variety of alternative materials is produced or exists in the form of stockpiles built up over time. Such materials are distributed over various regions of the territory depending on local industrial development and urbanisation trends. The use of alternative materials at a national scale implies sharing local knowledge and experience. Building a national database on alternative materials for road construction is useful in gathering and sharing information. An analysis of feedback from onsite experiences (back analysis) is essential to improve knowledge on alternative material use in road construction. Back analysis of field studies has to be conducted in accordance with a single common framework. This could enable drawing comparisons between alternative materials and between road applications. A framework for the identification and classification of data used in back analyses is proposed. Since the road structure is an open system, this framework has been based on a stress-response approach at both the material and structural levels and includes a description of external factors applying during the road service life. The proposal has been shaped from a review of the essential characteristics of road materials and structures, as well as from the state of knowledge specific to alternative material characterisation.

A Learning Framework for Development.

ERIC Educational Resources Information Center

Chi, Michelene T. H.; Rees, Ernest T.

1983-01-01

Responding to recent advances in developmental and cognitive science research on knowledge acquisition, this report presents a theoretical framework for analyzing cognitive development as a process of learning. The first section summarizes three developmental characteristics recognized in both the Piagetian and the quantita experimental tradition:…

Reflections on Assessment

ERIC Educational Resources Information Center

DiRanna, Kathy; Osmundson, Ellen; Topps, Jo; Gearhart, Maryl

2008-01-01

In this article, the authors describe an assessment-centered teaching (ACT) framework they developed to communicate the integration of assessment and instruction. The framework is a visual representation of the relationships among the fundamental elements of assessment knowledge: the characteristics of quality goals for student learning and…

Students' Partitive Reasoning

ERIC Educational Resources Information Center

Norton, Anderson; Wilkins, Jesse L. M.

2010-01-01

In building models of students' fractions knowledge, two prominent frameworks have arisen: Kieren's rational number subconstructs, and Steffe's fractions schemes. The purpose of this paper is to clarify and reconcile aspects of those frameworks through a quantitative analysis. In particular, we focus on the measurement subconstruct and the…

A Framework for Analyzing Biometric Template Aging and Renewal Prediction

DTIC Science & Technology

2009-03-01

databases has sufficient data to support template aging over an extended period of time. Another assumption is that there is significant variance to...mentioned above for enrollment also apply to verification. When combining enrollment and verification, there is a significant amount of variance that... significant advancement in the biometrics body of knowledge. This research presents the CTARP Framework, a novel foundational framework for methods of

Science-based Framework for Environmental Benefits Assessment

DTIC Science & Technology

2013-03-01

ER D C/ EL T R -1 3 -4 Environmental Benefits Analysis Program Science-based Framework for Environmental Benefits Assessment E nv ir...acwc.sdp.sirsi.net/client/default. Environmental Benefits Analysis Program ERDC/EL TR-13-4 March 2013 Science-based Framework for Environmental Benefits ...evaluating ecosystem restoration benefits within the context of USACE Civil Works planning process. An emphasis is placed on knowledge gained from

Processing SPARQL queries with regular expressions in RDF databases

PubMed Central

2011-01-01

Background As the Resource Description Framework (RDF) data model is widely used for modeling and sharing a lot of online bioinformatics resources such as Uniprot (dev.isb-sib.ch/projects/uniprot-rdf) or Bio2RDF (bio2rdf.org), SPARQL - a W3C recommendation query for RDF databases - has become an important query language for querying the bioinformatics knowledge bases. Moreover, due to the diversity of users’ requests for extracting information from the RDF data as well as the lack of users’ knowledge about the exact value of each fact in the RDF databases, it is desirable to use the SPARQL query with regular expression patterns for querying the RDF data. To the best of our knowledge, there is currently no work that efficiently supports regular expression processing in SPARQL over RDF databases. Most of the existing techniques for processing regular expressions are designed for querying a text corpus, or only for supporting the matching over the paths in an RDF graph. Results In this paper, we propose a novel framework for supporting regular expression processing in SPARQL query. Our contributions can be summarized as follows. 1) We propose an efficient framework for processing SPARQL queries with regular expression patterns in RDF databases. 2) We propose a cost model in order to adapt the proposed framework in the existing query optimizers. 3) We build a prototype for the proposed framework in C++ and conduct extensive experiments demonstrating the efficiency and effectiveness of our technique. Conclusions Experiments with a full-blown RDF engine show that our framework outperforms the existing ones by up to two orders of magnitude in processing SPARQL queries with regular expression patterns. PMID:21489225

Processing SPARQL queries with regular expressions in RDF databases.

PubMed

Lee, Jinsoo; Pham, Minh-Duc; Lee, Jihwan; Han, Wook-Shin; Cho, Hune; Yu, Hwanjo; Lee, Jeong-Hoon

2011-03-29

As the Resource Description Framework (RDF) data model is widely used for modeling and sharing a lot of online bioinformatics resources such as Uniprot (dev.isb-sib.ch/projects/uniprot-rdf) or Bio2RDF (bio2rdf.org), SPARQL - a W3C recommendation query for RDF databases - has become an important query language for querying the bioinformatics knowledge bases. Moreover, due to the diversity of users' requests for extracting information from the RDF data as well as the lack of users' knowledge about the exact value of each fact in the RDF databases, it is desirable to use the SPARQL query with regular expression patterns for querying the RDF data. To the best of our knowledge, there is currently no work that efficiently supports regular expression processing in SPARQL over RDF databases. Most of the existing techniques for processing regular expressions are designed for querying a text corpus, or only for supporting the matching over the paths in an RDF graph. In this paper, we propose a novel framework for supporting regular expression processing in SPARQL query. Our contributions can be summarized as follows. 1) We propose an efficient framework for processing SPARQL queries with regular expression patterns in RDF databases. 2) We propose a cost model in order to adapt the proposed framework in the existing query optimizers. 3) We build a prototype for the proposed framework in C++ and conduct extensive experiments demonstrating the efficiency and effectiveness of our technique. Experiments with a full-blown RDF engine show that our framework outperforms the existing ones by up to two orders of magnitude in processing SPARQL queries with regular expression patterns.

Towards a Cognitive Organisational Framework for Knowledge Management

DTIC Science & Technology

2001-09-01

of knowledge now exist only at the bottom of the organisation, with management uninformed on specific detail. For many knowledge- based ...the organisation’ s internal context - its internal management practices, learning culture and knowledge base . This has particularly been found to...of the process is based in ’Kaizen’. Within the Western culture we may well have ignored important insights in our own tradition. Traditionally, in

Weaving Traditional Ecological Knowledge into Biological Education: A Call to Action.

ERIC Educational Resources Information Center

Kimmerer, Robin Wall

2002-01-01

Traditional ecological knowledge has value not only for the wealth of biological information it contains but also for the cultural framework of respect, reciprocity, and responsibility in which it is embedded. (Contains 48 references.) (DDR)

Transnational Discourses of Knowledge and Learning in Professional Work: Examples from Computer Engineering

ERIC Educational Resources Information Center

Nerland, Monika

2010-01-01

Taking a Foucauldian framework as its point of departure, this paper discusses how transnational discourses of knowledge and learning operate in the profession of computer engineering and form a certain logic through which modes of being an engineer are regulated. Both the knowledge domain of computer engineering and its related labour market is…

Preservice Teachers' Level of Web Pedagogical Content Knowledge: Assessment by Individual Innovativeness

ERIC Educational Resources Information Center

Gökçearslan, Sahin; Karademir, Tugra; Korucu, Agah Tugrul

2017-01-01

Technological Pedagogical Content Knowledge, one of the frameworks proposed in order to popularize the use of technology in a classroom environment, has been customized and has taken the form of Web Pedagogical Content Knowledge. The Relational Screening Model was used in this study. It aims to determine whether a profile of preservice teachers…

Forecasting Doctoral-Level Content in Agricultural Education: Viewpoints of Engaged Scholars in the United States

ERIC Educational Resources Information Center

Shinn, Glen C.; Briers, Gary; Baker, Matt

2008-01-01

In this study, the researchers used a classical Delphi method to re-examine the conceptual framework, definition, and knowledge base of the field. Seventeen engaged scholars, each representing the expert agricultural education community, reached consensus on defining the field of study, 10 knowledge domains, and 67 knowledge objects. The Delphi…

The Cochrane Collaboration: Institutional Analysis of a Knowledge Commons

ERIC Educational Resources Information Center

Heywood, Peter; Stephani, Anne Marie; Garner, Paul

2018-01-01

Cochrane is an international network that produces and updates new knowledge through systematic reviews for the health sector. Knowledge is a shared resource, and can be viewed as a commons. As Cochrane has been in existence for 25 years, we used Elinor Ostrom's theory of the commons and Institutional Analysis and Development Framework to appraise…

A Case Study of Pedagogy of Mathematics Support Tutors without a Background in Mathematics Education

ERIC Educational Resources Information Center

Walsh, Richard

2017-01-01

This study investigates the pedagogical skills and knowledge of three tertiary-level mathematics support tutors in a large group classroom setting. This is achieved through the use of video analysis and a theoretical framework comprising Rowland's Knowledge Quartet and general pedagogical knowledge. The study reports on the findings in relation to…

Knowledge-Sharing in Virtual Communities: Familiarity, Anonymity and Self-Determination Theory

ERIC Educational Resources Information Center

Yoon, Cheolho; Rolland, Erik

2012-01-01

Although the role of motivation has been emphasised in knowledge-sharing literature, traditional motivation theories, such as self-determination theory (SDT), have not been actively used as a research framework in knowledge-sharing research. The purposes of this study are twofold. The first objective is to propose a model, based on SDT, to test…

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

ERIC Educational Resources Information Center

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,…

Knowledge Management at the Finnish Government: Now, Never or Later.

ERIC Educational Resources Information Center

Jussilainen, Maija

In this paper, knowledge management is seen as an element of strategic management for which the highest level of the organization is responsible. Knowledge management is discussed in the framework of the current reform of the central government in Finland. The main goals of the reform are to strengthen the cooperation in the central government, to…

Towards Accomplished Practice in Learning Skills for Science (LSS): The Synergy between Design and Evaluation Methodology in a Reflective CPD Programme

ERIC Educational Resources Information Center

Scherz, Zahava; Bialer, Liora; Eylon, Bat-Sheva

2011-01-01

This study was carried out in the framework of continuous professional development (CPD) programmes following a CPD model aimed at promoting "accomplished practice" involving: pedagogical knowledge, content knowledge, pedagogical content knowledge and scholarship of teaching. Teachers were asked to bring evidence about their practice.…

The precautionary principle in fisheries management under climate change: How the international legal framework formulate it?

NASA Astrophysics Data System (ADS)

Latifah, E.; Imanullah, M. N.

2018-03-01

One of the objectives of fisheries management is to reach long-term sustainable benefits of the fish stocks while reducing the risk of severe or irreversible damage to the marine ecosystem. Achieving this objective needs, the good scientific knowledge and understanding on fisheries management including scientific data and information on the fish stock, fishing catch, distribution, migration, the proportion of mature fish, the mortality rate, reproduction as well as the knowledge on the impact of fishing on dependent and associated species and other species belonging to the same ecosystem, and further the impact of climate change and climate variability on the fish stocks and marine ecosystem. Lack of this scientific knowledge may lead to high levels of uncertainty. The precautionary principle is one of the basic environmental principles needed in overcoming this problem. An essence of this principle is that, in facing the serious risk as a result of the limited scientific knowledge or the absence of complete evidence of harm, it should not prevent the precautionary measures in minimizing risks and protecting the fish stocks and ecosystem. This study aims to examine how the precautionary principle in fisheries management be formulated into the international legal framework, especially under the climate change framework.

A Framework for Bridging Scientists, Knowledge Brokers and Local Decision Makers in State-level Climate Assessments

NASA Astrophysics Data System (ADS)

Galford, G. L.; Nash, J. L.

2016-12-01

Large-scale analyses like the National Climate Assessment (NCA) contain a wealth of information critical to national and regional responses to climate change but tend to be insufficiently detailed for action at state or local levels. Many states now develop assessments (SCAs) to provide relevant, actionable information to state and local authorities. These assessments generate new or additional primary information, build networks and inform stakeholders. Based on our experience in the Vermont Climate Assessment (VCA), we present a SCA framework to engage local decision makers, using a fluid network of scientific experts and knowledge brokers to conduct subject area prioritization, data analysis, and writing. Knowledge brokers bridged the scientific and stakeholder communities, providing a two-way flow of information by capitalizing on their existing networks. Rich citizen records of climate and climate change impacts associated a human voice, a memorable story, or personal observation with a climate record, improving climate information salience. This engagement process that created salient climate information perceived as credible and legitimate by local and state decision makers. We present this framework as an effective structure for SCAs to foster interaction among scientists, knowledge brokers and stakeholders. We include a qualitative impact evaluation and lessons learned for future SCAs.

Conceptual Model-Based Systems Biology: Mapping Knowledge and Discovering Gaps in the mRNA Transcription Cycle

PubMed Central

Somekh, Judith; Choder, Mordechai; Dori, Dov

2012-01-01

We propose a Conceptual Model-based Systems Biology framework for qualitative modeling, executing, and eliciting knowledge gaps in molecular biology systems. The framework is an adaptation of Object-Process Methodology (OPM), a graphical and textual executable modeling language. OPM enables concurrent representation of the system's structure—the objects that comprise the system, and behavior—how processes transform objects over time. Applying a top-down approach of recursively zooming into processes, we model a case in point—the mRNA transcription cycle. Starting with this high level cell function, we model increasingly detailed processes along with participating objects. Our modeling approach is capable of modeling molecular processes such as complex formation, localization and trafficking, molecular binding, enzymatic stimulation, and environmental intervention. At the lowest level, similar to the Gene Ontology, all biological processes boil down to three basic molecular functions: catalysis, binding/dissociation, and transporting. During modeling and execution of the mRNA transcription model, we discovered knowledge gaps, which we present and classify into various types. We also show how model execution enhances a coherent model construction. Identification and pinpointing knowledge gaps is an important feature of the framework, as it suggests where research should focus and whether conjectures about uncertain mechanisms fit into the already verified model. PMID:23308089

Towards a Semantic Web of Things: A Hybrid Semantic Annotation, Extraction, and Reasoning Framework for Cyber-Physical System.

PubMed

Wu, Zhenyu; Xu, Yuan; Yang, Yunong; Zhang, Chunhong; Zhu, Xinning; Ji, Yang

2017-02-20

Web of Things (WoT) facilitates the discovery and interoperability of Internet of Things (IoT) devices in a cyber-physical system (CPS). Moreover, a uniform knowledge representation of physical resources is quite necessary for further composition, collaboration, and decision-making process in CPS. Though several efforts have integrated semantics with WoT, such as knowledge engineering methods based on semantic sensor networks (SSN), it still could not represent the complex relationships between devices when dynamic composition and collaboration occur, and it totally depends on manual construction of a knowledge base with low scalability. In this paper, to addresses these limitations, we propose the semantic Web of Things (SWoT) framework for CPS (SWoT4CPS). SWoT4CPS provides a hybrid solution with both ontological engineering methods by extending SSN and machine learning methods based on an entity linking (EL) model. To testify to the feasibility and performance, we demonstrate the framework by implementing a temperature anomaly diagnosis and automatic control use case in a building automation system. Evaluation results on the EL method show that linking domain knowledge to DBpedia has a relative high accuracy and the time complexity is at a tolerant level. Advantages and disadvantages of SWoT4CPS with future work are also discussed.

Understanding Preservice Teachers' Technology Use through TPACK Framework

ERIC Educational Resources Information Center

Pamuk, S.

2012-01-01

This study discusses preservice teachers' achievement barriers to technology integration, using principles of technological pedagogical content knowledge (TPACK) as an evaluative framework. Technology-capable participants each freely chose a content area to comprise project. Data analysis based on interactions among core components of TPACK…

NASA System Safety Framework and Concepts for Implementation

NASA Technical Reports Server (NTRS)

Dezfuli, Homayoon

2012-01-01

This report has been developed by the National Aeronautics and Space Administration (NASA) Human Exploration and Operations Mission Directorate (HEOMD) Risk Management team knowledge capture forums.. This document provides a point-in-time, cumulative, summary of actionable key lessons learned in safety framework and concepts.

The adverse outcome pathway: A multifaceted framework supporting 21st century toxicology

EPA Science Inventory

The adverse outcome pathway (AOP) framework serves as a knowledge assembly, interpretation, and communication tool designed to support the translation of pathway-specific mechanistic data into responses relevant to assessing and managing risks of chemicals to human health and the...

SAIL: A Framework for Promoting Next-Generation Word Study

ERIC Educational Resources Information Center

Ganske, Kathy

2016-01-01

This article introduces SAIL, an instructional framework designed to help teachers optimize students' learning during small-group word study instruction. Small-group word study interactions afford opportunities for teachers to engage students in thinking, talking, advancing vocabulary knowledge (including general academic vocabulary), and making…

Deciphering the Diploid Ancestral Genome of the Mesohexaploid Brassica rapa[C][W

PubMed Central

Cheng, Feng; Mandáková, Terezie; Wu, Jian; Xie, Qi; Lysak, Martin A.; Wang, Xiaowu

2013-01-01

The genus Brassica includes several important agricultural and horticultural crops. Their current genome structures were shaped by whole-genome triplication followed by extensive diploidization. The availability of several crucifer genome sequences, especially that of Chinese cabbage (Brassica rapa), enables study of the evolution of the mesohexaploid Brassica genomes from their diploid progenitors. We reconstructed three ancestral subgenomes of B. rapa (n = 10) by comparing its whole-genome sequence to ancestral and extant Brassicaceae genomes. All three B. rapa paleogenomes apparently consisted of seven chromosomes, similar to the ancestral translocation Proto-Calepineae Karyotype (tPCK; n = 7), which is the evolutionarily younger variant of the Proto-Calepineae Karyotype (n = 7). Based on comparative analysis of genome sequences or linkage maps of Brassica oleracea, Brassica nigra, radish (Raphanus sativus), and other closely related species, we propose a two-step merging of three tPCK-like genomes to form the hexaploid ancestor of the tribe Brassiceae with 42 chromosomes. Subsequent diversification of the Brassiceae was marked by extensive genome reshuffling and chromosome number reduction mediated by translocation events and followed by loss and/or inactivation of centromeres. Furthermore, via interspecies genome comparison, we refined intervals for seven of the genomic blocks of the Ancestral Crucifer Karyotype (n = 8), thus revising the key reference genome for evolutionary genomics of crucifers. PMID:23653472

A memory learning framework for effective image retrieval.

PubMed

Han, Junwei; Ngan, King N; Li, Mingjing; Zhang, Hong-Jiang

2005-04-01

Most current content-based image retrieval systems are still incapable of providing users with their desired results. The major difficulty lies in the gap between low-level image features and high-level image semantics. To address the problem, this study reports a framework for effective image retrieval by employing a novel idea of memory learning. It forms a knowledge memory model to store the semantic information by simply accumulating user-provided interactions. A learning strategy is then applied to predict the semantic relationships among images according to the memorized knowledge. Image queries are finally performed based on a seamless combination of low-level features and learned semantics. One important advantage of our framework is its ability to efficiently annotate images and also propagate the keyword annotation from the labeled images to unlabeled images. The presented algorithm has been integrated into a practical image retrieval system. Experiments on a collection of 10,000 general-purpose images demonstrate the effectiveness of the proposed framework.

A unified framework for mesh refinement in random and physical space

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

Li, Jing; Stinis, Panos

In recent work we have shown how an accurate reduced model can be utilized to perform mesh renement in random space. That work relied on the explicit knowledge of an accurate reduced model which is used to monitor the transfer of activity from the large to the small scales of the solution. Since this is not always available, we present in the current work a framework which shares the merits and basic idea of the previous approach but does not require an explicit knowledge of a reduced model. Moreover, the current framework can be applied for renement in both randommore » and physical space. In this manuscript we focus on the application to random space mesh renement. We study examples of increasing difficulty (from ordinary to partial differential equations) which demonstrate the effciency and versatility of our approach. We also provide some results from the application of the new framework to physical space mesh refinement.« less

Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems.

PubMed

Huang, Lifu; May, Jonathan; Pan, Xiaoman; Ji, Heng; Ren, Xiang; Han, Jiawei; Zhao, Lin; Hendler, James A

2017-03-01

The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data. Most existing entity typing systems are limited to certain domains, genres, and languages. In this article, we propose a novel unsupervised entity-typing framework by combining symbolic and distributional semantics. We start from learning three types of representations for each entity mention: general semantic representation, specific context representation, and knowledge representation based on knowledge bases. Then we develop a novel joint hierarchical clustering and linking algorithm to type all mentions using these representations. This framework does not rely on any annotated data, predefined typing schema, or handcrafted features; therefore, it can be quickly adapted to a new domain, genre, and/or language. Experiments on genres (news and discussion forum) show comparable performance with state-of-the-art supervised typing systems trained from a large amount of labeled data. Results on various languages (English, Chinese, Japanese, Hausa, and Yoruba) and domains (general and biomedical) demonstrate the portability of our framework.

Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems

PubMed Central

Huang, Lifu; May, Jonathan; Pan, Xiaoman; Ji, Heng; Ren, Xiang; Han, Jiawei; Zhao, Lin; Hendler, James A.

2017-01-01

Abstract The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data. Most existing entity typing systems are limited to certain domains, genres, and languages. In this article, we propose a novel unsupervised entity-typing framework by combining symbolic and distributional semantics. We start from learning three types of representations for each entity mention: general semantic representation, specific context representation, and knowledge representation based on knowledge bases. Then we develop a novel joint hierarchical clustering and linking algorithm to type all mentions using these representations. This framework does not rely on any annotated data, predefined typing schema, or handcrafted features; therefore, it can be quickly adapted to a new domain, genre, and/or language. Experiments on genres (news and discussion forum) show comparable performance with state-of-the-art supervised typing systems trained from a large amount of labeled data. Results on various languages (English, Chinese, Japanese, Hausa, and Yoruba) and domains (general and biomedical) demonstrate the portability of our framework. PMID:28328252

Integration of Culturally Relevant Pedagogy Into the Science Learning Progression Framework

NASA Astrophysics Data System (ADS)

Bernardo, Cyntra

This study integrated elements of culturally relevant pedagogy into a science learning progression framework, with the goal of enhancing teachers' cultural knowledge and thereby creating better teaching practices in an urban public high school science classroom. The study was conducted using teachers, an administrator, a science coach, and students involved in science courses in public high school. Through a qualitative intrinsic case study, data were collected and analyzed using traditional methods. Data from primary participants (educators) were analyzed through identification of big ideas, open coding, and themes. Through this process, patterns and emergent ideas were reported. Outcomes of this study demonstrated that educators lack knowledge about research-based academic frameworks and multicultural education strategies, but benefit through institutionally-based professional development. Students from diverse cultures responded positively to culturally-based instruction. Their progress was further manifested in better communication and discourse with their teacher and peers, and increased academic outcomes. This study has postulated and provided an exemplar for science teachers to expand and improve multicultural knowledge, ultimately transferring these skills to their pedagogical practice.

Towards a resilience management framework for complex enterprise systems upgrade implementation

NASA Astrophysics Data System (ADS)

Teoh, Say Yen; Yeoh, William; Zadeh, Hossein Seif

2017-05-01

The lack of knowledge of how resilience management supports enterprise system (ES) projects accounts for the failure of firms to leverage their investments in costly ES implementations. Using a structured-pragmatic-situational (SPS) case study research approach, this paper reports on an investigation into the resilience management of a large utility company as it implemented an ES upgrade. Drawing on the literature and on the case study findings, we developed a process-based resilience management framework that involves three strategies (developing situation awareness, demystifying threats, and executing restoration plans) and four organisational capabilities that transform resilience management concepts into practices. We identified the crucial phases of ES upgrade implementation and developed indicators for how different strategies and capabilities of resilience management can assist managers at different stages of an ES upgrade. This research advances the state of existing knowledge by providing specific and verifiable propositions for attaining a state of resilience, the knowledge being grounded in the empirical reality of a case study. Moreover, the framework offers ES practitioners a roadmap to better identify appropriate responses and levels of preparedness.

On uncertainty in information and ignorance in knowledge

NASA Astrophysics Data System (ADS)

Ayyub, Bilal M.

2010-05-01

This paper provides an overview of working definitions of knowledge, ignorance, information and uncertainty and summarises formalised philosophical and mathematical framework for their analyses. It provides a comparative examination of the generalised information theory and the generalised theory of uncertainty. It summarises foundational bases for assessing the reliability of knowledge constructed as a collective set of justified true beliefs. It discusses system complexity for ancestor simulation potentials. It offers value-driven communication means of knowledge and contrarian knowledge using memes and memetics.

The adverse outcome pathway knowledge base

EPA Science Inventory

The rapid advancement of the Adverse Outcome Pathway (AOP) framework has been paralleled by the development of tools to store, analyse, and explore AOPs. The AOP Knowledge Base (AOP-KB) project has brought three independently developed platforms (Effectopedia, AOP-Wiki, and AOP-X...

Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier–Stokes simulations: A data-driven, physics-informed Bayesian approach

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

Xiao, H., E-mail: hengxiao@vt.edu; Wu, J.-L.; Wang, J.-X.

Despite their well-known limitations, Reynolds-Averaged Navier–Stokes (RANS) models are still the workhorse tools for turbulent flow simulations in today's engineering analysis, design and optimization. While the predictive capability of RANS models depends on many factors, for many practical flows the turbulence models are by far the largest source of uncertainty. As RANS models are used in the design and safety evaluation of many mission-critical systems such as airplanes and nuclear power plants, quantifying their model-form uncertainties has significant implications in enabling risk-informed decision-making. In this work we develop a data-driven, physics-informed Bayesian framework for quantifying model-form uncertainties in RANS simulations.more » Uncertainties are introduced directly to the Reynolds stresses and are represented with compact parameterization accounting for empirical prior knowledge and physical constraints (e.g., realizability, smoothness, and symmetry). An iterative ensemble Kalman method is used to assimilate the prior knowledge and observation data in a Bayesian framework, and to propagate them to posterior distributions of velocities and other Quantities of Interest (QoIs). We use two representative cases, the flow over periodic hills and the flow in a square duct, to evaluate the performance of the proposed framework. Both cases are challenging for standard RANS turbulence models. Simulation results suggest that, even with very sparse observations, the obtained posterior mean velocities and other QoIs have significantly better agreement with the benchmark data compared to the baseline results. At most locations the posterior distribution adequately captures the true model error within the developed model form uncertainty bounds. The framework is a major improvement over existing black-box, physics-neutral methods for model-form uncertainty quantification, where prior knowledge and details of the models are not exploited. This approach has potential implications in many fields in which the governing equations are well understood but the model uncertainty comes from unresolved physical processes. - Highlights: • Proposed a physics–informed framework to quantify uncertainty in RANS simulations. • Framework incorporates physical prior knowledge and observation data. • Based on a rigorous Bayesian framework yet fully utilizes physical model. • Applicable for many complex physical systems beyond turbulent flows.« less

Knowledge-Based Decision Support in Department of Defense Acquisitions

DTIC Science & Technology

2010-09-01

from the analysis framework developed by Miles and Huberman (1994). The framework describes the major phases of data analysis as data reduction, data... Miles and Huberman , 1994) Survey Effort For this research effort, the survey data was obtained from SAF/ACPO (Air Force Acquisition Chief...rank O-6/GS-15 or above. Data Reduction and Content Analysis Within the Miles and Huberman (1994) framework, the researcher used Microsoft

A knowledge-based framework for image enhancement in aviation security.

PubMed

Singh, Maneesha; Singh, Sameer; Partridge, Derek

2004-12-01

The main aim of this paper is to present a knowledge-based framework for automatically selecting the best image enhancement algorithm from several available on a per image basis in the context of X-ray images of airport luggage. The approach detailed involves a system that learns to map image features that represent its viewability to one or more chosen enhancement algorithms. Viewability measures have been developed to provide an automatic check on the quality of the enhanced image, i.e., is it really enhanced? The choice is based on ground-truth information generated by human X-ray screening experts. Such a system, for a new image, predicts the best-suited enhancement algorithm. Our research details the various characteristics of the knowledge-based system and shows extensive results on real images.

Development of an Agile Knowledge Engineering Framework in Support of Multi-Disciplinary Translational Research

PubMed Central

Borlawsky, Tara B.; Dhaval, Rakesh; Hastings, Shannon L.; Payne, Philip R. O.

2009-01-01

In October 2006, the National Institutes of Health launched a new national consortium, funded through Clinical and Translational Science Awards (CTSA), with the primary objective of improving the conduct and efficiency of the inherently multi-disciplinary field of translational research. To help meet this goal, the Ohio State University Center for Clinical and Translational Science has launched a knowledge management initiative that is focused on facilitating widespread semantic interoperability among administrative, basic science, clinical and research computing systems, both internally and among the translational research community at-large, through the integration of domain-specific standard terminologies and ontologies with local annotations. This manuscript describes an agile framework that builds upon prevailing knowledge engineering and semantic interoperability methods, and will be implemented as part this initiative. PMID:21347164

Development of an agile knowledge engineering framework in support of multi-disciplinary translational research.

PubMed

Borlawsky, Tara B; Dhaval, Rakesh; Hastings, Shannon L; Payne, Philip R O

2009-03-01

In October 2006, the National Institutes of Health launched a new national consortium, funded through Clinical and Translational Science Awards (CTSA), with the primary objective of improving the conduct and efficiency of the inherently multi-disciplinary field of translational research. To help meet this goal, the Ohio State University Center for Clinical and Translational Science has launched a knowledge management initiative that is focused on facilitating widespread semantic interoperability among administrative, basic science, clinical and research computing systems, both internally and among the translational research community at-large, through the integration of domain-specific standard terminologies and ontologies with local annotations. This manuscript describes an agile framework that builds upon prevailing knowledge engineering and semantic interoperability methods, and will be implemented as part this initiative.

A watershed-based adaptive knowledge system for developing ecosystem stakeholder partnerships

NASA Astrophysics Data System (ADS)

Lin, Hebin; Thornton, Jeffrey A.; Shadrin, Nickolai

2015-11-01

This study proposes a Watershed-based Adaptive Knowledge System (WAKES) to consistently coordinate multiple stakeholders in developing sustainable partnerships for ecosystem management. WAKES is extended from the institutional mechanism of Payments for Improving Ecosystem Services at the Watershed-scale (PIES-W). PIES-W is designed relating to the governance of ecosystem services fl ows focused on a lake as a resource stock connecting its infl owing and outfl owing rivers within its watershed. It explicitly realizes the values of conservation services provided by private land managers and incorporates their activities into the public organizing framework for ecosystem management. It implicitly extends the "upstream-to-downstream" organizing perspective to a broader vision of viewing the ecosystems as comprised of both "watershed landscapes" and "marine landscapes". Extended from PIES-W, WAKES specifies two corresponding feedback: Framework I and II. Framework I is a relationship matrix comprised of three input-output structures of primary governance factors intersecting three subsystems of a watershed with regard to ecosystem services and human stakeholders. Framework II is the Stakeholder-and-Information structure channeling five types of information among four stakeholder groups in order to enable the feedbacks mechanism of Framework I. WAKES identifies the rationales behind three fundamental information transformations, illustrated with the Transboundary Diagnostic Analysis and the Strategic Action Program of the Bermejo River Binational Basin. These include (1) translating scientific knowledge into public information within the Function-and-Service structure corresponding to the ecological subsystem, (2) incorporating public perceptions into political will within the Service- and- Value structure corresponding to the economic subsystem, and (3) integrating scientific knowledge, public perceptions and political will into management options within the Value-and-Stakeholder structure corresponding to the social subsystem. This study seeks to share a vision of social adaptation for a global sustainable future through developing a network to adopt contributions from and forming partnerships among all ecosystem stakeholders.

Ethics skills laboratory experience for surgery interns.

PubMed

Moon, Margaret R; Hughes, Mark T; Chen, Jiin-Yu; Khaira, Kiran; Lipsett, Pamela; Carrese, Joseph A

2014-01-01

Ethics curricula are nearly universal in residency training programs, but the content and delivery methods are not well described, and there is still a relative paucity of literature evaluating the effect of ethics curricula. Several commentators have called for more ethics curriculum development at the postgraduate level, and specifically in surgery training. We detail our development and implementation of a clinical ethics curriculum for surgery interns. We developed curricula and simulated patient cases for 2 core clinical ethics skills--breaking bad news and obtaining informed consent. Educational sessions for each topic included (1) framework development (discussion of interns' current experience, development of a consensus framework for ethical practice, and comparison with established frameworks) and (2) practice with simulated patient followed by peer and faculty feedback. At the beginning and end of each session, we administered a test of confidence and knowledge about the topics to assess the effect of the sessions. A total of 98 surgical interns participated in the ethics skills laboratory from Spring 2008 to Spring 2011. We identified significant improvement in confidence regarding the appropriate content of informed consent (<0.001) and capacity to break bad news (<0.001). We also identified significant improvement in overall knowledge regarding informed consent (<0.01), capacity assessment (<0.05), and breaking bad news (0.001). Regarding specific components of informed consent, capacity assessment, and breaking bad news, significant improvement was shown in some areas, while we failed to improve knowledge in others. Through faculty-facilitated small group discussion, surgery interns were able to develop frameworks for ethical practice that paralleled established frameworks. Skills-based training in clinical ethics resulted in an increase in knowledge scores and self-reported confidence. Evaluation of 4 annual cohorts of surgery interns demonstrates significant successes and some areas for improvement in this educational intervention. Copyright © 2014 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Transformative Mixed Methods Research

ERIC Educational Resources Information Center

Mertens, Donna M.

2010-01-01

Paradigms serve as metaphysical frameworks that guide researchers in the identification and clarification of their beliefs with regard to ethics, reality, knowledge, and methodology. The transformative paradigm is explained and illustrated as a framework for researchers who place a priority on social justice and the furtherance of human rights.…

Framing Care for Planners of Education Programs

ERIC Educational Resources Information Center

Glowacki-Dudka, Michelle; Mullett, Cathy; Griswold, Wendy; Baize-Ward, Amy; Vetor-Suits, Crissy; Londt, Susan Cole

2018-01-01

Using a framework of care to design experiences in formal or informal learning does two things. It acknowledges intentions of reflective learning through open communication and meets expectations of scholars seeking knowledge within a learning community. This proposed framework was developed from programs involving popular education, community…

Analyzing Agricultural Technology Systems: A Research Report.

ERIC Educational Resources Information Center

Swanson, Burton E.

The International Program for Agricultural Knowledge Systems (INTERPAKS) research team is developing a descriptive and analytic framework to examine and assess agricultural technology systems. The first part of the framework is an inductive methodology that organizes data collection and orders data for comparison between countries. It requires and…

Principles for ecologically based invasive plant management

Treesearch

Jeremy J. James; Brenda S. Smith; Edward A. Vasquez; Roger L. Sheley

2010-01-01

Land managers have long identified a critical need for a practical and effective framework for designing restoration strategies, especially where invasive plants dominate. A holistic, ecologically based, invasive plant management (EBIPM) framework that integrates ecosystem health assessment, knowledge of ecological processes, and adaptive management into a successional...

Knowledge representation into Ada parallel processing

NASA Technical Reports Server (NTRS)

Masotto, Tom; Babikyan, Carol; Harper, Richard

1990-01-01

The Knowledge Representation into Ada Parallel Processing project is a joint NASA and Air Force funded project to demonstrate the execution of intelligent systems in Ada on the Charles Stark Draper Laboratory fault-tolerant parallel processor (FTPP). Two applications were demonstrated - a portion of the adaptive tactical navigator and a real time controller. Both systems are implemented as Activation Framework Objects on the Activation Framework intelligent scheduling mechanism developed by Worcester Polytechnic Institute. The implementations, results of performance analyses showing speedup due to parallelism and initial efficiency improvements are detailed and further areas for performance improvements are suggested.

Translating knowledge: a framework for evidence-informed yoga programs in oncology.

PubMed

Wurz, Amanda J; Capozzi, Lauren C; Mackenzie, Michael J; Danhauer, Suzanne C; Culos-Reed, Nicole

2013-01-01

Empirical research suggests that yoga may positively influence the negative psychosocial and physical side effects associated with cancer and its treatment. The translation of these findings into sustainable, evidence-informed yoga programming for cancer survivors has lagged behind the research. This article provides (a) an overview of the yoga and cancer research, (b) a framework for successfully developing and delivering yoga to cancer populations, and (c) an example of a successful community-based program. The importance of continued research and knowledge translation efforts in the context of yoga and integrative oncology are highlighted.

Effects of Reading Strategies and Depth of Vocabulary Knowledge on Turkish EFL Learners' Text Inferencing Skills

ERIC Educational Resources Information Center

Çakir, Abdulvahit; Ünaldi, Ihsan; Arslan, Fadime Yalçin; Kiliç, Mehmet

2016-01-01

Within the framework of foreign language teaching and learning, reading strategies, depth of vocabulary knowledge and text inferencing skills have not been researched extensively. This study tries to fill this gap by analyzing the effects of reading strategies used by Turkish EFL learners and their depth of vocabulary knowledge on their text…

Examining EFL Teachers' Technological Pedagogical Content Knowledge and the Adoption of Mobile-Assisted Language Learning: A Partial Least Square Approach

ERIC Educational Resources Information Center

Hsu, Liwei

2016-01-01

This study examines EFL (English as a foreign Language) teachers' technological pedagogical content knowledge (TPACK) and how such knowledge affects the adoption of mobile-assisted language learning (MALL). A total of 158 in-service Taiwanese English teachers were surveyed. Two frameworks were employed to examine latent constructs: TPACK and the…

Putting TPACK on the Radar: A Visual Quantitative Model for Tracking Growth of Essential Teacher Knowledge

ERIC Educational Resources Information Center

Colvin, Julien C.; Tomayko, Ming C.

2015-01-01

Since Mishra and Koehler's (2006) description of technological pedagogical content knowledge (also known as TPACK), scholars have analyzed the various paths preservice and in-service teachers can take to develop their knowledge in each of the subdomains. However, the model of the overall framework can be confusing to teachers, as Venn diagrams are…

Management Perception of Introducing Social Networking Sites as a Knowledge Management Tool in Higher Education: A Case Study

ERIC Educational Resources Information Center

Garcia, Elaine; Annansingh, Fenio; Elbeltagi, Ibrahim

2011-01-01

Purpose: The purpose of this paper is to present a study of the understanding and usage of social networking sites (SNS) as a knowledge management (KM) tool in knowledge-intensive enterprises. Design/methodology/approach: In terms of research approach, the study has taken an interpretitivist framework, using a higher education (HE) institution as…

Status of Teachers' Proficiency in Mathematical Knowledge for Teaching at Secondary School Level in Kenya

ERIC Educational Resources Information Center

Miheso-O'Connor Khakasa, Marguerite; Berger, Margot

2016-01-01

Mathematical knowledge for teaching (MKT), defined by Ball ("Elementary Journal," 93, 373-397, 1993) as knowledge that is needed to teach mathematics, has been used as a framework by researchers to interrogate various aspects of teaching and learning mathematics. In this article, which draws from a larger study, we show how an in-depth…

From Words to Concepts: Focusing on Word Knowledge When Teaching for Conceptual Understanding within an Inquiry-Based Science Setting

ERIC Educational Resources Information Center

Haug, Berit S.; Ødegaard, Marianne

2014-01-01

This qualitative video study explores how two elementary school teachers taught for conceptual understanding throughout different phases of science inquiry. The teachers implemented teaching materials with a focus on learning science key concepts through the development of word knowledge. A framework for word knowledge was applied to examine the…

Organization and integration of biomedical knowledge with concept maps for key peroxisomal pathways.

PubMed

Willemsen, A M; Jansen, G A; Komen, J C; van Hooff, S; Waterham, H R; Brites, P M T; Wanders, R J A; van Kampen, A H C

2008-08-15

One important area of clinical genomics research involves the elucidation of molecular mechanisms underlying (complex) disorders which eventually may lead to new diagnostic or drug targets. To further advance this area of clinical genomics one of the main challenges is the acquisition and integration of data, information and expert knowledge for specific biomedical domains and diseases. Currently the required information is not very well organized but scattered over biological and biomedical databases, basic text books, scientific literature and experts' minds and may be highly specific, heterogeneous, complex and voluminous. We present a new framework to construct knowledge bases with concept maps for presentation of information and the web ontology language OWL for the representation of information. We demonstrate this framework through the construction of a peroxisomal knowledge base, which focuses on four key peroxisomal pathways and several related genetic disorders. All 155 concept maps in our knowledge base are linked to at least one other concept map, which allows the visualization of one big network of related pieces of information. The peroxisome knowledge base is available from www.bioinformaticslaboratory.nl (Support-->Web applications). Supplementary data is available from www.bioinformaticslaboratory.nl (Research-->Output--> Publications--> KB_SuppInfo)

A knowledge translation project on community-centred approaches in public health.

PubMed

Stansfield, J; South, J

2018-03-01

This article examines the development and impact of a national knowledge translation project aimed at improving access to evidence and learning on community-centred approaches for health and wellbeing. Structural changes in the English health system meant that knowledge on community engagement was becoming lost and a fragmented evidence base was seen to impact negatively on policy and practice. A partnership started between Public Health England, NHS England and Leeds Beckett University in 2014 to address these issues. Following a literature review and stakeholder consultation, evidence was published in a national guide to community-centred approaches. This was followed by a programme of work to translate the evidence into national strategy and local practice.The article outlines the key features of the knowledge translation framework developed. Results include positive impacts on local practice and national policy, for example adoption within National Institute for Health and Care Evidence (NICE) guidance and Local Authority public health plans and utilization as a tool for local audit of practice and commissioning. The framework was successful in its non-linear approach to knowledge translation across a range of inter-connected activity, built on national leadership, knowledge brokerage, coalition building and a strong collaboration between research institute and government agency.

A framework for using magic to study the mind.

PubMed

Rensink, Ronald A; Kuhn, Gustav

2014-01-01

Over the centuries, magicians have developed extensive knowledge about the manipulation of the human mind-knowledge that has been largely ignored by psychology. It has recently been argued that this knowledge could help improve our understanding of human cognition and consciousness. But how might this be done? And how much could it ultimately contribute to the exploration of the human mind? We propose here a framework outlining how knowledge about magic can be used to help us understand the human mind. Various approaches-both old and new-are surveyed, in terms of four different levels. The first focuses on the methods in magic, using these to suggest new approaches to existing issues in psychology. The second focuses on the effects that magic can produce, such as the sense of wonder induced by seeing an apparently impossible event. Third is the consideration of magic tricks-methods and effects together-as phenomena of scientific interest in their own right. Finally, there is the organization of knowledge about magic into an informative whole, including the possibility of a science centered around the experience of wonder.

A framework for using magic to study the mind

PubMed Central

Rensink, Ronald A.; Kuhn, Gustav

2015-01-01

Over the centuries, magicians have developed extensive knowledge about the manipulation of the human mind—knowledge that has been largely ignored by psychology. It has recently been argued that this knowledge could help improve our understanding of human cognition and consciousness. But how might this be done? And how much could it ultimately contribute to the exploration of the human mind? We propose here a framework outlining how knowledge about magic can be used to help us understand the human mind. Various approaches—both old and new—are surveyed, in terms of four different levels. The first focuses on the methods in magic, using these to suggest new approaches to existing issues in psychology. The second focuses on the effects that magic can produce, such as the sense of wonder induced by seeing an apparently impossible event. Third is the consideration of magic tricks—methods and effects together—as phenomena of scientific interest in their own right. Finally, there is the organization of knowledge about magic into an informative whole, including the possibility of a science centered around the experience of wonder. PMID:25698983

Student Learning: Education's Field of Dreams.

ERIC Educational Resources Information Center

Blackwell, Peggy L.

2003-01-01

Discusses seven research-based benchmarks providing a framework for the student-learning-focused reform of teacher education: knowledge and understanding based on previous experience, usable content knowledge, transfer of learning/the learning context, strategic thinking, motivation and affect, development and individual differences, and standards…

Young Children's Knowledge About the Moon: A Complex Dynamic System

NASA Astrophysics Data System (ADS)

Venville, Grady J.; Louisell, Robert D.; Wilhelm, Jennifer A.

2012-08-01

The purpose of this research was to use a multidimensional theoretical framework to examine young children's knowledge about the Moon. The research was conducted in the interpretive paradigm and the design was a multiple case study of ten children between the ages of three and eight from the USA and Australia. A detailed, semi-structured interview was conducted with each child. In addition, each child's parents were interviewed to determine possible social and cultural influences on the child's knowledge. We sought evidence about how the social and cultural experiences of the children might have influenced the development of their ideas. From a cognitive perspective we were interested in whether the children's ideas were constructed in a theory like form or whether the knowledge was the result of gradual accumulation of fragments of isolated cultural information. Findings reflected the strong and complex relationship between individual children, their social and cultural milieu, and the way they construct ideas about the Moon and astronomy. Findings are presented around four themes including ontology, creatures and artefacts, animism, and permanence. The findings support a complex dynamic system view of students' knowledge that integrates the framework theory perspective and the knowledge in fragments perspective. An initial model of a complex dynamic system of young children's knowledge about the Moon is presented.

Flood AI: An Intelligent Systems for Discovery and Communication of Disaster Knowledge

NASA Astrophysics Data System (ADS)

Demir, I.; Sermet, M. Y.

2017-12-01

Communities are not immune from extreme events or natural disasters that can lead to large-scale consequences for the nation and public. Improving resilience to better prepare, plan, recover, and adapt to disasters is critical to reduce the impacts of extreme events. The National Research Council (NRC) report discusses the topic of how to increase resilience to extreme events through a vision of resilient nation in the year 2030. The report highlights the importance of data, information, gaps and knowledge challenges that needs to be addressed, and suggests every individual to access the risk and vulnerability information to make their communities more resilient. This project presents an intelligent system, Flood AI, for flooding to improve societal preparedness by providing a knowledge engine using voice recognition, artificial intelligence, and natural language processing based on a generalized ontology for disasters with a primary focus on flooding. The knowledge engine utilizes the flood ontology and concepts to connect user input to relevant knowledge discovery channels on flooding by developing a data acquisition and processing framework utilizing environmental observations, forecast models, and knowledge bases. Communication channels of the framework includes web-based systems, agent-based chat bots, smartphone applications, automated web workflows, and smart home devices, opening the knowledge discovery for flooding to many unique use cases.

Protocol for a qualitative study of knowledge translation in a participatory research project.

PubMed

Lillehagen, Ida; Vøllestad, Nina; Heggen, Kristin; Engebretsen, Eivind

2013-08-19

In this article, we present a methodological design for qualitative investigation of knowledge translation (KT) between participants in a participatory research project. In spite of a vast expansion of conceptual models and frameworks for conducting KT between research and practice, few models emphasise how KTs come about. Better understanding of the actions and activities involved in a KT process is important for promoting diffusion of knowledge and improving patient care. The purpose of this article is to describe a methodological design for investigating how KTs come about in participatory research. The article presents an ethnographic study which investigates meetings between participants in a participatory research project. The participants are researchers and primary healthcare clinicians. Data are collected through observation, interviews and document studies. The material is analysed using the analytical concepts of knowledge objects, knowledge forms and knowledge positions. These concepts represent an analytical framework enabling us to observe knowledge and how it is translated between participants. The main expected outcome of our study is to develop a typology of KT practices relevant to participatory research. The project has been evaluated and approved by the Norwegian Social Science Data Services. Informed consent was obtained for all participants. The findings from this study will be disseminated through peer-reviewed publications and national and international conference presentations.

Social exclusion of older persons: a scoping review and conceptual framework.

PubMed

Walsh, Kieran; Scharf, Thomas; Keating, Norah

2017-03-01

As a concept, social exclusion has considerable potential to explain and respond to disadvantage in later life. However, in the context of ageing populations, the construct remains ambiguous. A disjointed evidence-base, spread across disparate disciplines, compounds the challenge of developing a coherent understanding of exclusion in older age. This article addresses this research deficit by presenting the findings of a two-stage scoping review encompassing seven separate reviews of the international literature pertaining to old-age social exclusion. Stage one involved a review of conceptual frameworks on old-age exclusion, identifying conceptual understandings and key domains of later-life exclusion. Stage two involved scoping reviews on each domain (six in all). Stage one identified six conceptual frameworks on old-age exclusion and six common domains across these frameworks: neighbourhood and community; services, amenities and mobility; social relations; material and financial resources; socio-cultural aspects; and civic participation. International literature concentrated on the first four domains, but indicated a general lack of research knowledge and of theoretical development. Drawing on all seven scoping reviews and a knowledge synthesis, the article presents a new definition and conceptual framework relating to old-age exclusion.

EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos.

PubMed

Schott, Benjamin; Traub, Manuel; Schlagenhauf, Cornelia; Takamiya, Masanari; Antritter, Thomas; Bartschat, Andreas; Löffler, Katharina; Blessing, Denis; Otte, Jens C; Kobitski, Andrei Y; Nienhaus, G Ulrich; Strähle, Uwe; Mikut, Ralf; Stegmaier, Johannes

2018-04-01

State-of-the-art light-sheet and confocal microscopes allow recording of entire embryos in 3D and over time (3D+t) for many hours. Fluorescently labeled structures can be segmented and tracked automatically in these terabyte-scale 3D+t images, resulting in thousands of cell migration trajectories that provide detailed insights to large-scale tissue reorganization at the cellular level. Here we present EmbryoMiner, a new interactive open-source framework suitable for in-depth analyses and comparisons of entire embryos, including an extensive set of trajectory features. Starting at the whole-embryo level, the framework can be used to iteratively focus on a region of interest within the embryo, to investigate and test specific trajectory-based hypotheses and to extract quantitative features from the isolated trajectories. Thus, the new framework provides a valuable new way to quantitatively compare corresponding anatomical regions in different embryos that were manually selected based on biological prior knowledge. As a proof of concept, we analyzed 3D+t light-sheet microscopy images of zebrafish embryos, showcasing potential user applications that can be performed using the new framework.

Academic-Hospital Partnership: Conducting a Community Health Needs Assessment as a Service Learning Project.

PubMed

Krumwiede, Kelly A; Van Gelderen, Stacey A; Krumwiede, Norma K

2015-01-01

The purposes of this service learning project were to trial nursing student application of the Community-Based Collaborative Action Research (CBCAR) framework while conducting a community health needs assessment and to assess the effectiveness of the CBCAR framework in providing real-world learning opportunities for enhancing baccalaureate nursing students' public health knowledge. In this case study analysis, the CBCAR framework linked service learning and community health needs assessment with public health nursing core competencies. Fifteen nursing students partnered with collaborative members. Student observational field notes and narrative reflections were analyzed qualitatively for fidelity to the CBCAR framework and to evaluate student public health knowledge. Students successfully employed the CBCAR framework in collaboration with the critical access hospital and community stakeholders to design and conduct the community health needs assessment. Service learning themes were real-world solutions, professional development, community collaboration, and making a difference. Students developed skills in six of the eight domains of the Quad Council's core competencies for public health nurses. Community-Based Collaborative Action Research facilitates collaborative partnerships and relationships throughout the research process. Students benefited by applying what they have learned from their education to a real community who lacks resources. © 2014 Wiley Periodicals, Inc.

The Australian Health Informatics Competencies Framework and Its Role in the Certified Health Informatician Australasia (CHIA) Program.

PubMed

Martin-Sanchez, Fernando; Rowlands, David; Schaper, Louise; Hansen, David

2017-01-01

The Certified Health Informatician Australasia (CHIA) program consists of an online exam, which aims to test whether a candidate has the knowledge and skills that are identified in the competencies framework to perform as a health informatics professional. The CHIA Health Informatics Competencies Framework provides the context in which the questions for the exam have been developed. The core competencies for health informatics that are tested in the exam have been developed with reference to similar programs by the American Medical Informatics Association, the International Medical Informatics Association and COACH, Canada's Health Informatics Association, and builds on the previous work done by the Australian Health Informatics Education Council. This paper shows how the development of this competency framework is helping to raise the profile of health informaticians in Australasia, contributing to a wider recognition of the profession, and defining more clearly the body of knowledge underpinning this discipline. This framework can also be used as a set of guidelines for recruiting purposes, definitions of career pathways, or the design of educational and training activities. We discuss here the current status of the program, its resultsandprospectsfor the future.

A cognitive framework to inform the design of professional development supporting teachers' classroom assessment of inquiry-based science

NASA Astrophysics Data System (ADS)

Matese, Gabrielle

Inquiry-based science places new demands on teachers for assessing students' growth, both of deep conceptual understanding as well as developing inquiry skills. In addition, new ideas about classroom assessment, such as the importance of formative assessment, are gaining currency. While we have ideas about what classroom assessment consistent with inquiry-based pedagogy might look like, and why it is necessary, we have little understanding of what it takes to implement it. That teachers face a challenge in doing so is well-documented. Researchers have noted that teachers attempting changes in classroom assessment often bring with them incompatible beliefs, knowledge, and practices. However, noting general incompatibility is insufficient to support addressing these issues through professional development. In response to this need, I initiated a research project to identify and describe in more detail the categories of beliefs, knowledge and skills that play an important role in inquiry-based science assessment practices. I created an assessment framework outlining specific categories of beliefs, knowledge, and skills affecting particular classroom assessment practices. I then used the framework to examine teachers' classroom assessment practices and to create comparative cases between three middle-school science teachers, highlighting how the different cognitive factors affect four particular assessment practices. The comparative cases demonstrate the framework's utility for analyzing and explicating teacher assessment practices. As a tool for analyzing and understanding teacher practice, the framework supports the design of professional development. To demonstrate the value of the framework, I draw on the comparative cases to identify implications for the design of professional development to support teachers' classroom assessment of inquiry-based science. In this dissertation I provide a brief overview of the framework and its rationale, present an example of the comparative case studies demonstrating the application of the framework and what it reveals about the cognitive influences on teacher practice, and outline the resulting design implications for professional development. This research allows us to better understand the cognitive factors underlying classroom assessment in inquiry-based science, and to design professional development to support teachers engaging in these practices.

Qualifications Frameworks: Implementation and Impact in Botswana

ERIC Educational Resources Information Center

Tau, Daniel; Modesto, Stanslaus T.

2011-01-01

A growing number of countries are introducing qualification frameworks (QFs) following a common definition of outcomes, level descriptors, and a set of occupational or knowledge fields. Botswana has been no exception to this trend. The passing of the Vocational Training Act (1998) led to the creation of the Botswana National Vocational…

A Conceptual Framework for Web-Based Learning Design

ERIC Educational Resources Information Center

Alomyan, Hesham

2017-01-01

The purpose of this paper is to provide a coherent framework to present the relationship between individual differences and web-based learning. Two individual difference factors have been identified for investigation within the present paper: Cognitive style and prior knowledge. The importance of individual differences is reviewed and previous…

Using a CAS Self-Study to Teach Assessment Practice

ERIC Educational Resources Information Center

Bourke, Brian

2017-01-01

There are likely as many approaches to teaching assessment as there are people teaching assessment. Graduate courses on assessment can be structured with a singular focus, such as learning outcomes assessment, or along a competencies-based framework. Such frameworks include the Assessment Skills and Knowledge (ASK) Standards developed by College…

National Framework of Professional Standards for Change Leadership in Education

ERIC Educational Resources Information Center

Duffy, Francis M.

2009-01-01

The ten professional standards form what Francis Duffy refers to as a "National Framework of Professional Standards for Change Leadership in Education." Each standard has examples of the knowledge, skills, and dispositions that the research suggests are important for effective change leadership. Duffy's hope is that this proposed…

Integration of Culturally Relevant Pedagogy into the Science Learning Progression Framework

ERIC Educational Resources Information Center

Bernardo, Cyntra

2017-01-01

This study integrated elements of culturally relevant pedagogy into a science learning progression framework, with the goal of enhancing teachers' cultural knowledge and thereby creating better teaching practices in an urban public high school science classroom. The study was conducted using teachers, an administrator, a science coach, and…

Rigorous Measures of Implementation: A Methodological Framework for Evaluating Innovative STEM Programs

ERIC Educational Resources Information Center

Cassata-Widera, Amy; Century, Jeanne; Kim, Dae Y.

2011-01-01

The practical need for multidimensional measures of fidelity of implementation (FOI) of reform-based science, technology, engineering, and mathematics (STEM) instructional materials, combined with a theoretical need in the field for a shared conceptual framework that could support accumulating knowledge on specific enacted program elements across…

Establishing a General Framework Civic Competency for European Youth

ERIC Educational Resources Information Center

Chow, Joseph

2012-01-01

This paper proposes a project that aims to construct a general framework of civic competency that will help understand civic competence as a blended measure of civic knowledge, skills, attitudes, values, beliefs, behavioural intentions and behaviours. By distinguishing between civic potential, civic behaviour and civic outcomes, with empirical…

From Research to Practice: A Framework for Contextualizing Teaching and Learning

ERIC Educational Resources Information Center

Ambrose, Valerie K.; Davis, C. Amelia; Ziegler, Mary F.

2013-01-01

Developmental reading instructors are increasingly pressured to include real-world content in their curriculum to bring contextualized teaching and learning to life. The purpose of this practitioner-focused article is to tie knowledge about contextualized teaching and learning with classroom application techniques. We present a framework that…

Towards Evolutional Authoring Support Systems

ERIC Educational Resources Information Center

Aroyo, Lora; Mizoguchi, Riichiro

2004-01-01

The ultimate aim of this research is to specify and implement a general authoring framework for content and knowledge engineering for Intelligent Educational Systems (IES). In this context we attempt to develop an authoring tool supporting this framework that is powerful in its functionality, generic in its support of instructional strategies and…

Preparing Teachers for Technology Based Teaching-Learning Using TPACK

ERIC Educational Resources Information Center

Padmavathi, M.

2017-01-01

Technological Pedagogical Content Knowledge (TPACK) is a conceptual framework for teachers to teach effectively using technology. This framework originates from the opinion that use of technology in educational context would be effective only if content, pedagogy and technology are aligned carefully. It implies that for teachers to use technology…