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Sample records for learning areas kla

  1. Design Of The Canal System Of KLA-60 Condensation Produce

    International Nuclear Information System (INIS)

    Sriawan; Wiranto, Slamet

    2000-01-01

    The RSG-GAS reactor pool ventilation system (KLA-60) which be used to avoid circulation of contamination air in the reactor hall, flow the 60% air from the pool surface to stack through the various filters. In case the isolation building the air from the pool surface is flooded back to the operation hall after exceed the heat exchanger, cooler and the various filters. One of the weakness of this system and must be solved by RSG is handing of the condensation water because in the canal system of the KLA-60 condensation produce is to be found some soiled like algae and to go the reactor pool. To solve this problem should be carried out research about the canal system of KLA-60 condensation produce and design the new canal system to find the good function. At the first design is carried out study about the function of the old of canal system of KLA-60 condensation produce. Base on this study have been carried out design of the canal system KLA-60 condensation produce, with can prevent the soiled to go to the reactor pool

  2. kLa of stirred tank bioreactors revisited.

    Science.gov (United States)

    Schaepe, S; Kuprijanov, A; Sieblist, C; Jenzsch, M; Simutis, R; Lübbert, A

    2013-12-01

    By means of improved feedback control kLa measurements become possible at a precision and reproducibility that now allow a closer look at the influences of power input and aeration rate on the oxygen mass transfer. These measurements are performed online during running fermentations without a notable impact on the biochemical conversion processes. A closer inspection of the mass transfer during cultivations showed that at least the number of impellers influences mass transfer and mixing: On the laboratory scale, two hollow blade impellers clearly showed a larger kLa than the usually employed three impeller versions when operated at the same agitation power and aeration rate. Hollow blade impellers are preferable under most operational conditions because of their perfect gas handling capacity. Mixing time studies showed that these two impeller systems are also preferable with respect to mixing. Furthermore the widths of the baffle bars depict a significant influence on the kLa. All this clearly supports the fact that it is not only the integral power density that finally determines kLa. Copyright © 2013 Elsevier B.V. All rights reserved.

  3. Towards a single empirical correlation to predict kLa across scales and processes

    DEFF Research Database (Denmark)

    Quintanilla Hernandez, Daniela Alejandra; Gernaey, Krist; Albæk, Mads O.

    Mathematical models are increasingly used in fermentation. Nevertheless, one of the major limitations of these models is that the parameters they include are process specific, e.g. the volumetric mass transfer coefficient (kLa). Oxygen transfer was studied in order to establish a single equation...... different calculations of the average shear rate. The experimental kLa value was determined with the direct method; however, eight variations of its calculation were evaluated. Several simple correlations were fitted to the measured kLa data. The standard empirical equation was found to be best...... scales using on ‐ line viscosity measurements. A single correlation for all processes and all scales could not be established...

  4. SO2 influence on the K/La2O3 soot combustion catalyst deactivation

    International Nuclear Information System (INIS)

    Peralta, M.A.; Ulla, M.A.; Querini, C.A.

    2008-01-01

    In the present work, K/La 2 O 3 was prepared and tested as a potential catalyst to be used in a diesel engine exhaust. The soot combustion activity was evaluated by temperature-programmed-oxidation (TPO), and the NO x -catalyst interaction was studied using a microbalance experiment. The SO 2 poisoning process and the regeneration of a poisoned K/La 2 O 3 catalyst were analyzed. The fresh catalyst presented a good soot combustion activity. After being treated with a 1000 ppm SO 2 stream, the catalyst was poisoned due to lanthanum sulfate and potassium sulfate formation. The NO x treatment contributed to the K 2 (SO 4 ) decomposition at the expense of extra La 2 (SO 4 ) 3 formation and the H 2 treatment contributed to the La 2 (SO 4 ) 3 decomposition. (author)

  5. Estimation of above ground biomass by using multispectral data for Evergreen Forest in Phu Hin Rong Kla National Park, Thailand

    International Nuclear Information System (INIS)

    Suwanprasit, C.

    2010-01-01

    Tropical forest is the most important and largest source for stocking CO 2 from the atmosphere which might be one of the main sources of carbon emission, global warming and climate change in recent decades. There are two main objectives of this study. The first one is to establish a relationship between above ground biomass and vegetation indices and the other is to evaluate above ground biomass and carbon sequestration for evergreen forest areas in Phu Hin Rong Kla National park, Thailand. Random sampling design based was applied for calculating the above ground biomass at stand level in the selected area by using Brown and Tsutsumi allometric equations. Landsat 7 ETM+ data in February 2009 was used. Support Vector Machine (SVM) was applied for identifying evergreen forest area. Forty-three of vegetation indices and image transformations were used for finding the best correlation with forest stand biomass. Regression analysis was used to investigate the relationship between the biomass volume at stand level and digital data from the satellite image. TM51 which derived from Tsutsumi allometric equation was the highest correlation with stand biomass. Normalized Difference Vegetation Index (NDVI) was not the best correlation in this study. The best biomass estimation model was from TM51 and ND71 (R2 =0.658). The totals of above ground biomass and carbon sequestration were 112,062,010 ton and 56,031,005 ton respectively. The application of this study would be quite useful for understanding the terrestrial carbon dynamics and global climate change. (author)

  6. Rietveld refinement of KLaTiO4 from X-ray powder data

    Directory of Open Access Journals (Sweden)

    Bai-Chuan Zhu

    2011-04-01

    Full Text Available Potassium lanthanum titanate(IV, KLaTiO4, has been synthesized by conventional solid-state reaction. It crystallizes isotypically with the NaLnTiO4 (Ln = La, Pr, Nd, Sm, Eu, Gd, Y and Lu family. Five of the six atoms in the asymmetric unit (one K, one La, one Ti and two O atoms are situated on sites with 4mm symmetry, whereas one O atom has 2mm. site symmetry. The crystal structure can be described as being composed of single layers of distorted corner-sharing TiO6 octahedra extending parallel to (001. The layers are alternately separated by K+ and La3+ cations along [001]. The coordination number of both K+ and La3+ cations is nine, resulting in distorted KO9 and LaO9 polyhedra.

  7. Enhanced anticancer efficacy of paclitaxel through multistage tumor-targeting liposomes modified with RGD and KLA peptides

    Directory of Open Access Journals (Sweden)

    Sun J

    2017-02-01

    Full Text Available Jiawei Sun,1 Lei Jiang,2 Yi Lin,3 Ethan Michael Gerhard,4 Xuehua Jiang,1 Li Li,3 Jian Yang,4 Zhongwei Gu3 1West China School of Pharmacy, Sichuan University, Chengdu, Sichuan, 2Department of Pharmaceutics, China Pharmaceutical University, Nanjing, Jiangsu, 3National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 4Department of Biomedical Engineering Materials Research Institute, The Huck Institutes of The Life Sciences, The Pennsylvania State University, University Park, PA, USA Abstract: Mitochondria serve as both “energy factories” and “suicide weapon stores” of cells. Targeted delivery of cytotoxic drugs to the mitochondria of tumor cells and tumor vascular cells is a promising strategy to improve the efficacy of chemotherapy. Here, multistage tumor-targeting liposomes containing two targeted peptide-modified lipids, cRGD-PEG2000-DSPE and KLA-PEG2000-DSPE, were developed for encapsulation of the anticancer drug paclitaxel (PTX, RGD-KLA/PTX-Lips. Compared with Taxol (free PTX, RGD/PTX-Lips and KLA/PTX-Lips, the half-maximal inhibitory concentration (IC50 value of RGD-KLA/PTX-Lips in vitro was 1.9-, 36.7- and 22.7-fold lower with 4T1 cells, respectively, because of higher levels of cellular uptake. Similar results were also observed with human umbilical vascular endothelial cells (HUVECs. An apoptosis assay showed that the total apoptotic ratio of RGD-KLA/PTX-Lips was the highest because of the mitochondria-targeted drug delivery and the activation of mitochondrial apoptosis pathways, as evidenced by visible mitochondrial localization, decreased mitochondrial membrane potential, release of cytochrome c and increased activities of caspase-9 and caspase-3. The strongest tumor growth inhibition (TGI; 80.6% and antiangiogenesis effects without systemic toxicity were also observed in RGD-KLA/PTX-Lip-treated 4T1 tumor xenograft BALB/c mice. In conclusion, these multistage

  8. Synthesis and luminescence characteristics of Dy{sup 3+} doped KLa(PO{sub 3}){sub 4}

    Energy Technology Data Exchange (ETDEWEB)

    Chemingui, S.; Ferhi, M., E-mail: ferhi.mounir@gmail.com; Horchani-Naifer, K.; Férid, M.

    2015-10-15

    Polycrystalline powders of KLa{sub (1−x)}Dy{sub x}(PO{sub 3}){sub 4} (x=0.5%, 1%, 5% and 10%) with linear chain have been grown by solid state reaction. The obtained powders are characterized by X-ray powder diffraction, FTIR and Raman spectroscopies. Emission, excitation spectra and decay curves analysis have been used to study the spectroscopic properties of Dy{sup 3+} in KLa(PO{sub 3}){sub 4}. The photoluminescence spectra show two characteristic blue and yellow bands of Dy{sup 3+}. The yellow-to-blue emission intensity ratios and CIE chromaticity coordinates have been determined from emission spectra to evaluate the emitted light as function of Dy{sup 3+} concentration. The measured decay rates for {sup 4}F{sub 9/2}→{sup 6}H{sub 15/2} deviated from exponential to non-exponential shape with increase of Dy{sup 3+} concentration. The observed non-exponential behavior of the decay curve has been fitted to Inokuti–Hirayama model, which indicates that the energy transfer between the donor and the acceptor is of dipole–dipole nature. The energy transfer, between the donor (excited Dy{sup 3+}) and the acceptor (unexcited Dy{sup 3+}), increases with Dy{sup 3+} ions concentration. - Highlights: • Polycrystalline powders of KLa{sub (1−x)}Dy{sub x}(PO{sub 3}){sub 4} were grown by solid state reaction. • The obtained samples are characterized by XRD, FTIR and Raman spectroscopies. • The luminescent properties of Dy{sup 3+} in KLa(PO{sub 3}){sub 4} are investigated. • Lifetime and chromatic coordinates depend strongly on Dy{sup 3+} concentration. • White and blue emissions are obtained at high and low concentration, respectively.

  9. Correlation between mass transfer coefficient kLa and relevant operating parameters in cylindrical disposable shaken bioreactors on a bench-to-pilot scale.

    Science.gov (United States)

    Klöckner, Wolf; Gacem, Riad; Anderlei, Tibor; Raven, Nicole; Schillberg, Stefan; Lattermann, Clemens; Büchs, Jochen

    2013-12-02

    Among disposable bioreactor systems, cylindrical orbitally shaken bioreactors show important advantages. They provide a well-defined hydrodynamic flow combined with excellent mixing and oxygen transfer for mammalian and plant cell cultivations. Since there is no known universal correlation between the volumetric mass transfer coefficient for oxygen kLa and relevant operating parameters in such bioreactor systems, the aim of this current study is to experimentally determine a universal kLa correlation. A Respiration Activity Monitoring System (RAMOS) was used to measure kLa values in cylindrical disposable shaken bioreactors and Buckingham's π-Theorem was applied to define a dimensionless equation for kLa. In this way, a scale- and volume-independent kLa correlation was developed and validated in bioreactors with volumes from 2 L to 200 L. The final correlation was used to calculate cultivation parameters at different scales to allow a sufficient oxygen supply of tobacco BY-2 cell suspension cultures. The resulting equation can be universally applied to calculate the mass transfer coefficient for any of seven relevant cultivation parameters such as the reactor diameter, the shaking frequency, the filling volume, the viscosity, the oxygen diffusion coefficient, the gravitational acceleration or the shaking diameter within an accuracy range of +/- 30%. To our knowledge, this is the first kLa correlation that has been defined and validated for the cited bioreactor system on a bench-to-pilot scale.

  10. Perceptual learning as improved probabilistic inference in early sensory areas.

    Science.gov (United States)

    Bejjanki, Vikranth R; Beck, Jeffrey M; Lu, Zhong-Lin; Pouget, Alexandre

    2011-05-01

    Extensive training on simple tasks such as fine orientation discrimination results in large improvements in performance, a form of learning known as perceptual learning. Previous models have argued that perceptual learning is due to either sharpening and amplification of tuning curves in early visual areas or to improved probabilistic inference in later visual areas (at the decision stage). However, early theories are inconsistent with the conclusions of psychophysical experiments manipulating external noise, whereas late theories cannot explain the changes in neural responses that have been reported in cortical areas V1 and V4. Here we show that we can capture both the neurophysiological and behavioral aspects of perceptual learning by altering only the feedforward connectivity in a recurrent network of spiking neurons so as to improve probabilistic inference in early visual areas. The resulting network shows modest changes in tuning curves, in line with neurophysiological reports, along with a marked reduction in the amplitude of pairwise noise correlations.

  11. Canadian Council for Area Studies Learned Societies - 2007-2008 ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    CCASLS) ... for four area studies associations: the Canadian Association of African Studies (CAAS); the ... IDRC invites applications for the IDRC Doctoral Research Awards ... Canada can learn from Uganda's gender budgeting experience.

  12. Learning with and about Technology: A Middle School Nature Area.

    Science.gov (United States)

    Fetterman, David

    1998-01-01

    Discussion of learning with technology as well as about technology focuses on a case study of a middle school nature area that uses technology to extend accessibility of environmental data. Highlights include the design of Web pages to describe the nature area; file sharing software; and the use of videoconferencing. (LRW)

  13. [Associative Learning between Orientation and Color in Early Visual Areas].

    Science.gov (United States)

    Amano, Kaoru; Shibata, Kazuhisa; Kawato, Mitsuo; Sasaki, Yuka; Watanabe, Takeo

    2017-08-01

    Associative learning is an essential neural phenomenon where the contingency of different items increases after training. Although associative learning has been found to occur in many brain regions, there is no clear evidence that associative learning of visual features occurs in early visual areas. Here, we developed an associative decoded functional magnetic resonance imaging (fMRI) neurofeedback (A-DecNef) to determine whether associative learning of color and orientation can be induced in early visual areas. During the three days' training, A-DecNef induced fMRI signal patterns that corresponded to a specific target color (red) mostly in early visual areas while a vertical achromatic grating was simultaneously, physically presented to participants. Consequently, participants' perception of "red" was significantly more frequently than that of "green" in an achromatic vertical grating. This effect was also observed 3 to 5 months after training. These results suggest that long-term associative learning of two different visual features such as color and orientation, was induced most likely in early visual areas. This newly extended technique that induces associative learning may be used as an important tool for understanding and modifying brain function, since associations are fundamental and ubiquitous with respect to brain function.

  14. Spectroscopic properties of Eu{sup 3+}:KLa(WO{sub 4}){sub 2} novel red phosphors

    Energy Technology Data Exchange (ETDEWEB)

    Rasu, K. Kavi; Balaji, D.; Babu, S. Moorthy, E-mail: babusm@yahoo.com

    2016-02-15

    Eu{sup 3+}:KLa(WO{sub 4}){sub 2} (Eu:KLW) phosphors were prepared through Pechini type sol–gel method. Low temperature synthesis was achieved through polyesterification between citric acid and ethylene glycol during the growth procedure. The properties of phosphors were analysed using X-ray diffractogram (XRD), scanning electron microscopy (SEM), Raman and luminescence spectroscopy. An effective energy transfer from the tungstate matrix to the activator Eu{sup 3+} was observed. Intense red emission in Eu:KLW phosphors was observed while excited with f–f transitions of Eu{sup 3+}. The Judd–Ofelt (J–O) intensity parameters Ω{sub 2} and Ω{sub 4} were obtained from the emission intensities of {sup 5}D{sub 0}→{sup 7}F{sub 2},{sub 4,} respectively by taking the magnetic dipole {sup 5}D{sub 0}→{sup 7}F{sub 1} emission band intensity as reference. The CIE colour co-ordinates of the Eu:KLW red phosphors was calculated (x=0.650, y=0.348), which are close to NTSC standard values. - Highlights: • Eu:KLW phosphors were synthesized by pechini type sol–gel method. • Structural, morphological, vibrational and luminescence properties were well investigation. • Eu{sup 3+}:KLa(WO{sub 4}){sub 2} phosphors has strong red emission at about 615 nm ({sup 5}D{sub 0}→{sup 7}F{sub 2}) under the excitation of near UV and blue LEDs regions. • Decay measurement and Judd–Ofelt parameter were calculated and dicussed. • These phosphors can serve as a potential candidate for red source for White LEDs application.

  15. Perceptual learning modifies the functional specializations of visual cortical areas.

    Science.gov (United States)

    Chen, Nihong; Cai, Peng; Zhou, Tiangang; Thompson, Benjamin; Fang, Fang

    2016-05-17

    Training can improve performance of perceptual tasks. This phenomenon, known as perceptual learning, is strongest for the trained task and stimulus, leading to a widely accepted assumption that the associated neuronal plasticity is restricted to brain circuits that mediate performance of the trained task. Nevertheless, learning does transfer to other tasks and stimuli, implying the presence of more widespread plasticity. Here, we trained human subjects to discriminate the direction of coherent motion stimuli. The behavioral learning effect substantially transferred to noisy motion stimuli. We used transcranial magnetic stimulation (TMS) and functional magnetic resonance imaging (fMRI) to investigate the neural mechanisms underlying the transfer of learning. The TMS experiment revealed dissociable, causal contributions of V3A (one of the visual areas in the extrastriate visual cortex) and MT+ (middle temporal/medial superior temporal cortex) to coherent and noisy motion processing. Surprisingly, the contribution of MT+ to noisy motion processing was replaced by V3A after perceptual training. The fMRI experiment complemented and corroborated the TMS finding. Multivariate pattern analysis showed that, before training, among visual cortical areas, coherent and noisy motion was decoded most accurately in V3A and MT+, respectively. After training, both kinds of motion were decoded most accurately in V3A. Our findings demonstrate that the effects of perceptual learning extend far beyond the retuning of specific neural populations for the trained stimuli. Learning could dramatically modify the inherent functional specializations of visual cortical areas and dynamically reweight their contributions to perceptual decisions based on their representational qualities. These neural changes might serve as the neural substrate for the transfer of perceptual learning.

  16. Response to "Learning through Life": Thematic Area of Poverty Reduction

    Science.gov (United States)

    Preece, Julia

    2010-01-01

    This paper responds to the NIACE report "Learning through Life" in relation to the report's thematic area of poverty reduction. The paper draws on the thematic working papers that informed the report as well as wider literature on poverty. It takes a multidimensional perspective of poverty, drawing on Sen's concept of poverty as "unfreedom" and…

  17. Learning through Hallmark People in the Content Areas

    Science.gov (United States)

    Ciecierski, Lisa M.; Bintz, William P.

    2018-01-01

    This article shares aspects to consider when designing and implementing content area instruction through the study of people. It begins with a description of an inquiry that investigated students' learning with the use of authentic literature and meaningful writing in social studies, and then extends to a discussion of how to apply these same…

  18. Scale-up of Escherichia coli growth and recombinant protein expression conditions from microwell to laboratory and pilot scale based on matched k(L)a.

    Science.gov (United States)

    Islam, R S; Tisi, D; Levy, M S; Lye, G J

    2008-04-01

    Fermentation optimization experiments are ideally performed at small scale to reduce time, cost and resource requirements. Currently microwell plates (MWPs) are under investigation for this purpose as the format is ideally suited to automated high-throughput experimentation. In order to translate an optimized small-scale fermentation process to laboratory and pilot scale stirred-tank reactors (STRs) it is necessary to characterize key engineering parameters at both scales given the differences in geometry and the mechanisms of aeration and agitation. In this study oxygen mass transfer coefficients are determined in three MWP formats and in 7.5 L and 75 L STRs. k(L)a values were determined in cell-free media using the dynamic gassing-out technique over a range of agitation conditions. Previously optimized culture conditions at the MWP scale were then scaled up to the larger STR scales on the basis of matched k(L)a values. The accurate reproduction of MWP (3 mL) E. coli BL21 (DE3) culture kinetics at the two larger scales was shown in terms of cell growth, protein expression, and substrate utilization for k(L)a values that provided effective mixing and gas-liquid distribution at each scale. This work suggests that k(L)a provides a useful initial scale-up criterion for MWP culture conditions which enabled a 15,000-fold scale translation in this particular case. This work complements our earlier studies on the application of DoE techniques to MWP fermentation optimization and in so doing provides a generic framework for the generation of large quantities of soluble protein in a rapid and cost-effective manner.

  19. Upconversion improvement in KLaF{sub 4}:Yb{sup 3+}/Er{sup 3+} nanoparticles by doping Al{sup 3+} ions

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Haifang [Fuzhou University, School of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou (China); Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou, Jiangsu (China); Wang, Xiechun; Lai, Yunfeng; Cheng, Shuying; Zheng, Qiao; Yu, Jinlin [Fuzhou University, School of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou (China)

    2017-10-15

    Rare-earth ion-doped upconversion (UC) materials show great potential applications in optical and optoelectronic devices due to their novel optical properties. In this work, hexagonal KLaF{sub 4}:Yb{sup 3+}/Er{sup 3+} nanoparticles (NPs) were successfully synthesized by a hydrothermal method, and remarkably enhanced upconversion luminescence in green and red emission bands in KLaF{sub 4}:Yb{sup 3+}/Er{sup 3+} NPs has been achieved by doping Al{sup 3+} ions under 980 nm excitation. Compared to the aluminum-free KLaF{sub 4}:Yb{sup 3+}/Er{sup 3+} NPs sample, the UC fluorescence intensities of the green and red emissions of NPs doped with 10 at.% Al{sup 3+} ions were significantly enhanced by 5.9 and 7.3 times, respectively. Longer lifetimes of the doped samples were observed for the {sup 4}S{sub 3/2} state and {sup 4}F{sub 9/2} state. The underlying reason for the UC enhancement by doping Al{sup 3+} ions was mainly ascribed to distortion of the local symmetry around Er{sup 3+} ions and adsorption reduction of organic ligands on the surface of NPs. In addition, the influence of doping Al{sup 3+} ions on the structure and morphology of the NPs samples was also discussed. (orig.)

  20. Utilization of Electronic Learning System in Swat Rural Areas

    Directory of Open Access Journals (Sweden)

    Nazir Ahmed Sangi

    2017-12-01

    Full Text Available As developments in electronic technologies i.e. personal computers, laptops, tablets, mobiles and wearable devices, the way of learning is also changing. Therefore, utilization of Information and Communication Technology (ICT has great important role in schools and colleges. ICT is using by students, teachers and societies in District Swat, KP, Pakistan in the form of mobiles internet (for social contact and chat, computers internet (for knowledge exploration and entertainment and multimedia (for teaching and learning. One of the difficulties involved in rural areas’ students of District Swat is that they cannot join class rooms due to their poor livelihood condition and far away from schools and colleges. Especially most of the females of rural areas of Swat do not come to schools and colleges for their family tradition and culture. Various questions were examined in every aspect of educational technologies in this study. We surveyed 50 responded randomly at District Swat from different schools and colleges and discovered that the responded were generally positive and have great interest about e-learning in Swat. The use of proposed electronic system for the learning, the literacy rate will increase in rural areas and students will achieve their individual goals.

  1. Heritage learning outcomes in the Nordic and Baltic area

    DEFF Research Database (Denmark)

    Fristrup, Tine; Kling, Sofia,; Sonne, Lasse

    , there is a cultural heritage sector in a somewhat new arena, where concepts such as citizenship, lifelong learning, social cohesion and human capital are central. This means that museums and archives need to find new ways to justify their activities: it is no longer sufficient to focus on the collection and the care...... and preservation of documents and objects. On the contrary, it has become increasingly important to create new areas of use, relevant to the surrounding society, for the documents and objects chosen for preservation. These guidelines relate to competence development among adult visitors to archives and museums...

  2. Cognitive Neurostimulation: Learning to Volitionally Sustain Ventral Tegmental Area Activation.

    Science.gov (United States)

    MacInnes, Jeff J; Dickerson, Kathryn C; Chen, Nan-Kuei; Adcock, R Alison

    2016-03-16

    Activation of the ventral tegmental area (VTA) and mesolimbic networks is essential to motivation, performance, and learning. Humans routinely attempt to motivate themselves, with unclear efficacy or impact on VTA networks. Using fMRI, we found untrained participants' motivational strategies failed to consistently activate VTA. After real-time VTA neurofeedback training, however, participants volitionally induced VTA activation without external aids, relative to baseline, Pre-test, and control groups. VTA self-activation was accompanied by increased mesolimbic network connectivity. Among two comparison groups (no neurofeedback, false neurofeedback) and an alternate neurofeedback group (nucleus accumbens), none sustained activation in target regions of interest nor increased VTA functional connectivity. The results comprise two novel demonstrations: learning and generalization after VTA neurofeedback training and the ability to sustain VTA activation without external reward or reward cues. These findings suggest theoretical alignment of ideas about motivation and midbrain physiology and the potential for generalizable interventions to improve performance and learning. Copyright © 2016 Elsevier Inc. All rights reserved.

  3. Analysis of an Interactive Technology Supported Problem-Based Learning STEM Project Using Selected Learning Sciences Interest Areas (SLSIA)

    Science.gov (United States)

    Kumar, David Devraj

    2017-01-01

    This paper reports an analysis of an interactive technology-supported, problem-based learning (PBL) project in science, technology, engineering and mathematics (STEM) from a Learning Sciences perspective using the Selected Learning Sciences Interest Areas (SLSIA). The SLSIA was adapted from the "What kinds of topics do ISLS [International…

  4. Mājas lapas loma mārketinga komunikācijā: veikalu tīkla "Biotēka" piemērs

    OpenAIRE

    Drizļionoka, Diāna

    2010-01-01

    Autores Diānas Drizļionokas izstrādātā bakalaura darba temats ir „Mājas lapas loma mārketinga komunikācijā: veikalu tīkla „Biotēka” piemērs” . Darba ietvaros veiktā pētījuma mērķis noteikt mājas lapas lomu mazumtirdzniecības veikalu tīkla „Biotēka” mārketinga komunikācijā. Darbā izstrādē autore balstās uz Filipa Kotlera (Philip Kotler) teorētiskajām nostādnēm par mārketingu, Davīda Čefija (David Chaffey) teorētiskajām nostādnēm par interneta mārketingu un mājas lapu, Tomasa Pauela (Thomas Pow...

  5. On the Use of Dynamical Diffraction Theory To Refine Crystal Structure from Electron Diffraction Data: Application to KLa5O5(VO4)2, a Material with Promising Luminescent Properties.

    Science.gov (United States)

    Colmont, Marie; Palatinus, Lukas; Huvé, Marielle; Kabbour, Houria; Saitzek, Sébastien; Djelal, Nora; Roussel, Pascal

    2016-03-07

    A new lanthanum oxide, KLa5O5(VO4)2, was synthesized using a flux growth technique that involved solid-state reaction under an air atmosphere at 900 °C. The crystal structure was solved and refined using an innovative approach recently established and based on three-dimensional (3D) electron diffraction data, using precession of the electron beam and then validated against Rietveld refinement and denisty functional theory (DFT) calculations. It crystallizes in a monoclinic unit cell with space group C2/m and has unit cell parameters of a = 20.2282(14) Å, b = 5.8639(4) Å, c = 12.6060(9) Å, and β = 117.64(1)°. Its structure is built on Cresnel-like two-dimensional (2D) units (La5O5) of 4*3 (OLa4) tetrahedra, which run parallel to (001) plane, being surrounded by isolated VO4 tetrahedra. Four isolated vanadate groups create channels that host K(+) ions. Substitution of K(+) cations by another alkali metal is possible, going from lithium to rubidium. Li substitution led to a similar phase with a primitive monoclinic unit cell. A complementary selected area electron diffraction (SAED) study highlighted diffuse streaks associated with stacking faults observed on high-resolution electron microscopy (HREM) images of the lithium compound. Finally, preliminary catalytic tests for ethanol oxidation are reported, as well as luminescence evidence. This paper also describes how solid-state chemists can take advantages of recent progresses in electron crystallography, assisted by DFT calculations and powder X-ray diffraction (PXRD) refinements, to propose new structural types with potential applications to the physicist community.

  6. A framework for exploring integrated learning systems for the governance and management of public protected areas.

    Science.gov (United States)

    Nkhata, Bimo Abraham; Breen, Charles

    2010-02-01

    This article discusses how the concept of integrated learning systems provides a useful means of exploring the functional linkages between the governance and management of public protected areas. It presents a conceptual framework of an integrated learning system that explicitly incorporates learning processes in governance and management subsystems. The framework is premised on the assumption that an understanding of an integrated learning system is essential if we are to successfully promote learning across multiple scales as a fundamental component of adaptability in the governance and management of protected areas. The framework is used to illustrate real-world situations that reflect the nature and substance of the linkages between governance and management. Drawing on lessons from North America and Africa, the article demonstrates that the establishment and maintenance of an integrated learning system take place in a complex context which links elements of governance learning and management learning subsystems. The degree to which the two subsystems are coupled influences the performance of an integrated learning system and ultimately adaptability. Such performance is largely determined by how integrated learning processes allow for the systematic testing of societal assumptions (beliefs, values, and public interest) to enable society and protected area agencies to adapt and learn in the face of social and ecological change. It is argued that an integrated perspective provides a potentially useful framework for explaining and improving shared understanding around which the concept of adaptability is structured and implemented.

  7. An Automated Self-Learning Quantification System to Identify Visible Areas in Capsule Endoscopy Images.

    Science.gov (United States)

    Hashimoto, Shinichi; Ogihara, Hiroyuki; Suenaga, Masato; Fujita, Yusuke; Terai, Shuji; Hamamoto, Yoshihiko; Sakaida, Isao

    2017-08-01

    Visibility in capsule endoscopic images is presently evaluated through intermittent analysis of frames selected by a physician. It is thus subjective and not quantitative. A method to automatically quantify the visibility on capsule endoscopic images has not been reported. Generally, when designing automated image recognition programs, physicians must provide a training image; this process is called supervised learning. We aimed to develop a novel automated self-learning quantification system to identify visible areas on capsule endoscopic images. The technique was developed using 200 capsule endoscopic images retrospectively selected from each of three patients. The rate of detection of visible areas on capsule endoscopic images between a supervised learning program, using training images labeled by a physician, and our novel automated self-learning program, using unlabeled training images without intervention by a physician, was compared. The rate of detection of visible areas was equivalent for the supervised learning program and for our automatic self-learning program. The visible areas automatically identified by self-learning program correlated to the areas identified by an experienced physician. We developed a novel self-learning automated program to identify visible areas in capsule endoscopic images.

  8. Evaluating E-Learning Systems: An Empirical Investigation on Students' Perception in Higher Education Area

    Directory of Open Access Journals (Sweden)

    Muneer Abbad

    2014-06-01

    Full Text Available In search of better, traditional learning universities have expanded their ways to deliver knowledge and integrate cost effective e-learning systems. Universities' use of information and communication technologies has grown tremendously over the last decade. To ensure efficient use of the e-learning system, the Arab Open University (AOU in Bahrain was the first to use e-learning system there, aimed to evaluate the good and bad practices, detect errors and determine areas for further improvements in usage. This study critically evaluated the students' perception of the elearning system in Bahrain and recommended changes to improve students' e-learning usage. Results of the study indicated that, in general, students have favourable perceptions toward using the e-learning system. This study has shown that technology acceptance is the most variable, factor that contributes to students' perception and satisfaction of the e-learning system.

  9. WHAT ARE AGRICULTURAL ECONOMICS PH.D. STUDENTS LEARNING ABOUT AGRIBUSINESS RESEARCH METHODS AND SUBJECT AREAS?

    OpenAIRE

    House, Lisa; Sterns, James A.

    2002-01-01

    This document contains the PowerPoint presentation given by the authors at the 2002 WCC-72 meetings, regarding what agricultural economics Ph.D students are learning about agribusiness research methods and subject areas.

  10. Globalizācijas procesu ietekme uz sociālā tīkla facebook.com lietotāju motivāciju

    OpenAIRE

    Krastiņa, Elīna

    2010-01-01

    Bakalaura darba tēma ir „Globalizācijas ietekme uz sociālā tīkla facebook.com lietotāju motivāciju”. Tā mērķis ir aplūkot globālo sociālo tīklu facebook.com kā globalizācijas izpausmju piemēru un izpētīt tā lietotāju motivāciju - vai un cik lielā mērā to ietekmē globalizācijas procesi un to izraisītās blakusparādības. Darba ietvaros apskatītas vairākas pieejas globalizācijas jēdziena skaidrojumam, kā arī apskatītas globalizācijas ietekmes un sekas – kultūras globalizācija, kosmopolītisms u. c...

  11. Universal Design for Learning: Critical Need Areas for People with Learning Disabilities

    Science.gov (United States)

    Strobel, Wendy; Arthanat, Sajay; Bauer, Stephen; Flagg, Jennifer

    2007-01-01

    The primary market research outlined in this paper was conducted by the Rehabilitation Engineering Research Center on Technology Transfer to identify critical technology needs for people with learning disabilities. Based on the research conducted, the underlying context of these technology needs is Universal Design for Learning (UDL). The paper…

  12. Do textbooks address known learning challenges in area measurement? A comparative analysis

    Science.gov (United States)

    Hong, Dae S.; Choi, Kyong Mi; Runnalls, Cristina; Hwang, Jihyun

    2018-02-01

    This study compared area lessons from Korean textbooks and US standard-based textbooks to understand differences and similarities among these textbooks, as well as how these textbooks address known learning challenges in area measurement. Several well-known challenges have been identified in previous studies, such as covering, array structure, and linking array structure to area formula. We were interested in knowing if textbooks addressed these issues in their treatments of area measurement and, in doing so, provided students with opportunities to overcome or become familiar with known challenges. The results show that both countries' textbooks demonstrated similar limitations; only few area and area-related lessons are covered and three important learning challenges in area measurement are not covered well, which need to be informed to practicing teachers.

  13. Session: What can we learn from developed wind resource areas

    Energy Technology Data Exchange (ETDEWEB)

    Thelander, Carl; Erickson, Wally

    2004-09-01

    This session at the Wind Energy and Birds/Bats workshop was composed of two parts intended to examine what existing science tells us about wind turbine impacts at existing wind project sites. Part one dealt with the Altamont Wind Resource area, one of the older wind projects in the US, with a paper presented by Carl Thelander titled ''Bird Fatalities in the Altamont Pass Wind Resource Area: A Case Study, Part 1''. Questions addressed by the presenter included: how is avian habitat affected at Altamont and do birds avoid turbine sites; are birds being attracted to turbine strings; what factors contribute to direct impacts on birds by wind turbines at Altamont; how do use, behavior, avoidance and other factors affect risk to avian species, and particularly impacts those species listed as threatened, endangered, or of conservation concern, and other state listed species. The second part dealt with direct impacts to birds at new generation wind plants outside of California, examining such is sues as mortality, avoidance, direct habitat impacts from terrestrial wind projects, species and numbers killed per turbine rates/MW generated, impacts to listed threatened and endangered species, to USFWS Birds of Conservation Concern, and to state listed species. This session focused on newer wind project sites with a paper titled ''Bird Fatality and Risk at New Generation Wind Projects'' by Wally Erickson. Each paper was followed by a discussion/question and answer period.

  14. The Role of Context in Third Graders’ Learning of Area Measurement

    Directory of Open Access Journals (Sweden)

    Denny Haris

    2011-01-01

    Full Text Available Many researches showed that the most of students find the difficulty in measuring area. The formula of area tends to be taught directly without involving the conceptual basis and the area measurement are separated from children’s daily experiences. For this reason, the teaching and learning of area measurement was designed and link to a set of students’ experience-based activities. The context of this research is Indonesian traditional handicraft namely anyaman. The study is situated in the context of implementing an Indonesian version of Realistic Mathematics Education, labeled as PMRI in Indonesia. Design Research methodology comprising preliminary design, teaching experiment, and retrospective analysis is applied. This research described the investigation of the context as preliminary of teaching and learning about area measurement held in 3th grade of primary school SDN 119 Palembang. The result of the teaching experiment showed that problem embedded in a context could encourage the students to develop the idea of area measurement concept. The strategies through emergent modeling showed how students’ contribution could be used to develop gradually their reasoning of area measurement concept. In the experience-based activities for learning area measurement, emergent modeling played an important role in the shift of students’ reasoning from informal level towards formal mathematical concepts of area measurement.

  15. Investigation the opinions of the primary science teachers toward practice of teaching and learning activities in science learning area

    Science.gov (United States)

    Chamnanwong, Pornpaka; Thathong, Kongsak

    2018-01-01

    In preparing a science lesson plan, teachers may deal with numerous difficulties. Having a deep understanding of their problems and their demands is extremely essential for the teachers in preparing themselves for the job. Moreover, it is also crucial for the stakeholders in planning suitable and in-need teachers' professional development programs, in school management, and in teaching aid. This study aimed to investigate the primary school science teachers' opinion toward practice of teaching and learning activities in science learning area. Target group was 292 primary science teachers who teach Grade 4 - 6 students in Khon Kaen Province, Thailand in the academic year of 2014. Data were collected using Questionnaire about Investigation the opinions of the primary science teachers toward practice of teaching and learning activities in science learning area. The questionnaires were consisted of closed questions scored on Likert scale and open-ended questions that invite a sentence response to cover from LS Process Ideas. Research findings were as follow. The primary science teachers' level of opinion toward teaching and learning science subject ranged from 3.19 - 3.93 (mean = 3.43) as "Moderate" level of practice. The primary school science teachers' needs to participate in a training workshop based on LS ranged from 3.66 - 4.22 (mean = 3.90) as "High" level. The result indicated that they were interested in attending a training course under the guidance of the Lesson Study by training on planning of management of science learning to solve teaching problems in science contents with the highest mean score 4.22. Open-ended questions questionnaire showed the needs of the implementation of the lesson plans to be actual classrooms, and supporting for learning Medias, innovations, and equipment for science experimentation.

  16. Learning outcomes and effective communication techniques for hazard recognition learning programmes in the transportation thrust area.

    CSIR Research Space (South Africa)

    Krige, PD

    2001-12-01

    Full Text Available on South African mines ............................................ 32 4.3 People development and training techniques associated with confidence, attitudes and leadership............................................ 34 Page 4 4.4 Recommended learning... to rules and procedures, safety commitment of management, supervision style, organising for safety, equipment design and maintenance. Only the last two are engineering issues. The trend is clear. Improvements in engineering design have significantly...

  17. Identifying key areas for active interprofessional learning partnerships: A facilitated dialogue.

    Science.gov (United States)

    Steven, Kathryn; Angus, Allyson; Breckenridge, Jenna; Davey, Peter; Tully, Vicki; Muir, Fiona

    2016-11-01

    Student and service user involvement is recognised as an important factor in creating interprofessional education (IPE) opportunities. We used a team-based learning approach to bring together undergraduate health professional students, early career professionals (ECPs), public partners, volunteers, and carers to explore learning partnerships. Influenced by evaluative inquiry, this qualitative study used a free text response to allow participants to give their own opinion. A total of 153 participants (50 public partners and 103 students and professionals representing 11 healthcare professions) took part. Participants were divided into mixed groups of six (n = 25) and asked to identify areas where students, professionals, and public could work together to improve health professional education. Each group documented their discussions by summarising agreed areas and next steps. Responses were collected and transcribed for inductive content analysis. Seven key themes (areas for joint working) were identified: communication, public as partners, standards of conduct, IPE, quality improvement, education, and learning environments. The team-based learning format enabled undergraduate and postgraduate health professionals to achieve consensus with public partners on areas for IPE and collaboration. Some of our results may be context-specific but the approach is generalisable to other areas.

  18. Ventral Tegmental Area and Substantia Nigra Neural Correlates of Spatial Learning

    Science.gov (United States)

    Martig, Adria K.; Mizumori, Sheri J. Y.

    2011-01-01

    The ventral tegmental area (VTA) and substantia nigra pars compacta (SNc) may provide modulatory signals that, respectively, influence hippocampal (HPC)- and striatal-dependent memory. Electrophysiological studies investigating neural correlates of learning and memory of dopamine (DA) neurons during classical conditioning tasks have found DA…

  19. Innovative Work Practices and Lessons Learned at the N Area Deactivation Project

    International Nuclear Information System (INIS)

    Day, R.S.

    1999-01-01

    This report identifies many of the lessons learned, innovations,and effective work practices that derived from activities supporting the N Area Deactivation Project at the U.S. Department of Energy's (DOE) Hanford Site. The work practices discussed in this report may be applicable and beneficial to similar projects throughout the DOE complex

  20. Role of the area postrema in radiation-induced taste aversion learning and emesis in cats

    International Nuclear Information System (INIS)

    Rabin, B.M.; Hunt, W.A.; Chedester, A.L.; Lee, J.

    1986-01-01

    The role of the area postrema in radiation-induced emesis and taste aversion learning and the relationship between these behaviors were studied in cats. The potential involvement of neural factors which might be independent of the area postrema was minimized by using low levels of ionizing radiation (100 rads at a dose rate of 40 rads/min) to elicit a taste aversion, and by using body-only exposures (4500 and 6000 rads at 450 rads/min) to produce emesis. Lesions of the area postrema disrupted both taste aversion learning and emesis following irradiation. These results, which indicate that the area postrema is involved in the mediation of both radiation-induced emesis and taste aversion learning in cats under these experimental conditions, are interpreted as being consistent with the hypotheses that similar mechanisms mediate both responses to exposure to ionizing radiation, and that the taste aversion learning paradigm can therefore serve as a model system for studying radiation-induced emesis

  1. The Role of Context in Third Graders’ Learning of Area Measurement

    Directory of Open Access Journals (Sweden)

    Denny Haris

    2011-01-01

    Full Text Available Many researches showed that the most of students find the difficulty in measuring area. The formula of area tends to be taught directly without involving the conceptual basis and the area measurement are separated from children’s daily experiences. For this reason, the teaching and learning of area measurement was designed and link to a set of students’  experience-based activities. The context of this research is Indonesian traditional handicraft namely anyaman. The study is situated in the context of implementing an Indonesian version of Realistic Mathematics Education, labeled as PMRI in Indonesia. Design Research methodology comprising preliminary design, teaching experiment, and retrospective analysis is  applied. This research described  the investigation of the context as preliminary of teaching and learning about area measurement held in  3th grade of primary school  SDN 119 Palembang. The result of the teaching experiment showed that problem embedded in a context could encourage the students to develop the idea of area measurement concept. The strategies through emergent modeling showed how students’ contribution could be used to develop gradually their reasoning of area measurement concept. In the experience-based activities for learning area measurement, emergent modeling played an important role in the shift of students’ reasoning from informal level towards formal mathematical concepts of area measurement.Keywords: Area measurement, Anyaman, design research, PMRI DOI: http://dx.doi.org/10.22342/jme.2.1.778.55-66

  2. Improved Discriminability of Spatiotemporal Neural Patterns in Rat Motor Cortical Areas as Directional Choice Learning Progresses

    Directory of Open Access Journals (Sweden)

    Hongwei eMao

    2015-03-01

    Full Text Available Animals learn to choose a proper action among alternatives to improve their odds of success in food foraging and other activities critical for survival. Through trial-and-error, they learn correct associations between their choices and external stimuli. While a neural network that underlies such learning process has been identified at a high level, it is still unclear how individual neurons and a neural ensemble adapt as learning progresses. In this study, we monitored the activity of single units in the rat medial and lateral agranular (AGm and AGl, respectively areas as rats learned to make a left or right side lever press in response to a left or right side light cue. We noticed that rat movement parameters during the performance of the directional choice task quickly became stereotyped during the first 2-3 days or sessions. But learning the directional choice problem took weeks to occur. Accompanying rats’ behavioral performance adaptation, we observed neural modulation by directional choice in recorded single units. Our analysis shows that ensemble mean firing rates in the cue-on period did not change significantly as learning progressed, and the ensemble mean rate difference between left and right side choices did not show a clear trend of change either. However, the spatiotemporal firing patterns of the neural ensemble exhibited improved discriminability between the two directional choices through learning. These results suggest a spatiotemporal neural coding scheme in a motor cortical neural ensemble that may be responsible for and contributing to learning the directional choice task.

  3. Improving Students' Transfer of Learning among Subject Areas through the Use of an Integrated Curriculum and Alternative Assessment.

    Science.gov (United States)

    Boidy, Tish; Moran, Michelle

    An intervention program sought to improve third- and fifth- grade students' ability to transfer learning among subject areas and to apply their learning to everyday occurrences. Surveys and interviews revealed the lack of student transference of knowledge among subject areas; teacher surveys and an interview with the curriculum director provided…

  4. KLA - Live Hauling of Fish

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In certain markets, live fish can be sold for substantially higher prices than fresh dressed fish. A significant live-haul industry has developed in the U.S. and...

  5. PREZICEREA PERFORMANŢELOR STUDENŢILOR FOLOSIND ÎNVĂŢAREA AUTOMATĂ (Machine Learning

    Directory of Open Access Journals (Sweden)

    Maria CRISTEI

    2017-08-01

    Full Text Available În prezent, învăţarea automată (machine learning ocupă un loc important în inteligenţa artificială, preocupându-se de dezvoltarea algoritmilor ce permit unui sistem informatic să înveţe date, reguli şi algoritmi. Învăţarea automată pre­supune în primul rând identificarea şi implementarea unei modalităţi cât mai eficiente de reprezentare a informaţiilor, în sensul facilitării căutării, reorganizării şi modificării acestora. În acest sens, în prezentul articol se descrie utilitatea şi aplicabilitatea tehnicilor de învăţare automată supervizată la problemele de predicţie şi implementarea acestora în dez­vol­tarea aplicaţiilor informatice. Aplicaţia elaborată este unică prin felul ei de executare a modelului machine learning de predicţie. Metodologia folosită în aplicaţia elaborată este mixtă, cuprinzând tehnologii complexe de ultimă oră: mediul de dezvoltare Jupyter Notebook, limbajul de programare Python împreună cu cele mai populare librării ale acestuia utilizate în machine learning, instrumente de dezvoltare a aplicaţiei web Flask.PREDICTING STUDENT PERFORMANCE USING MACHINE LEARNINGAt present, machine learning occupies an important place in artificial intelligence, and is concerned with the development of algorithms that allow an information system to learn data, rules, and algorithms. Automatic learning involves first and foremost the identification and implementation of a more efficient way of representing information in order to facilitate search, reorganization and change. In this respect, this article describes the utility and applicability of supervised auto­mated learning techniques to prediction problems and their implementation in the development of computer applications. The elaborate application is unique in its way of executing the Machine learning prediction model. The methodology used in the developed application is mixed, including state-of-the-art complex

  6. Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms

    OpenAIRE

    Zhang, James; Vukotic, Ilija; Gardner, Robert

    2018-01-01

    Anomaly detection is the practice of identifying items or events that do not conform to an expected behavior or do not correlate with other items in a dataset. It has previously been applied to areas such as intrusion detection, system health monitoring, and fraud detection in credit card transactions. In this paper, we describe a new method for detecting anomalous behavior over network performance data, gathered by perfSONAR, using two machine learning algorithms: Boosted Decision Trees (BDT...

  7. Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework

    OpenAIRE

    Varun Mithal; Guruprasad Nayak; Ankush Khandelwal; Vipin Kumar; Ramakrishna Nemani; Nikunj C. Oza

    2018-01-01

    This paper presents an application of a novel machine-learning framework on MODIS (moderate-resolution imaging spectroradiometer) data to map burned areas over tropical forests of South America and South-east Asia. The RAPT (RAre Class Prediction in the absence of True labels) framework is able to build data adaptive classification models using noisy training labels. It is particularly suitable when expert annotated training samples are difficult to obtain as in the case of wild fires in the ...

  8. Identification of Learning Management Systems Functional Areas and Limitations (Case Study: E-Learning Center of University of Tehran

    Directory of Open Access Journals (Sweden)

    Ali akbar Farhangi

    2018-06-01

    Full Text Available Currently, ICT and educational processes are experiencing development and innovation. This new trend will help promote educational technology and enhance innovations regarding educational planning. E-learning is considered as one of the most prominent ICT applications across the world. Advantages of virtual learning have entailed daily usage in various universities. Learning management systems are specific web-based systems to manage, track students, define courses, and evaluate the learners. However, these systems may involve inefficiencies and disadvantages as well. This paper attempts to identify the LMS functional areas in University of Tehran based on a specific conceptual framework and to present the relevant issues and problems for each dimension. The data for the present study were collected using focused group interviews, system observations. The researchers also compared the documents and the university system with that of other universities. The results of the theme analysis indicated that “communication” and “system cooperation” dimensions are involved with more important problems and issues. The researchers believe that the main issues are due to the test modules, evaluations, and systemic and underlying databases.

  9. Outline for Remediation of Problem Areas for Children with Learning Disabilities. Revised. = Bosquejo para la Correccion de Areas Problematicas para Ninos con Impedimientos del Aprendizaje.

    Science.gov (United States)

    Bornstein, Joan L.

    The booklet outlines ways to help children with learning disabilities in specific subject areas. Characteristic behavior and remedial exercises are listed for seven areas of auditory problems: auditory reception, auditory association, auditory discrimination, auditory figure ground, auditory closure and sound blending, auditory memory, and grammar…

  10. Learning to Associate Orientation with Color in Early Visual Areas by Associative Decoded fMRI Neurofeedback.

    Science.gov (United States)

    Amano, Kaoru; Shibata, Kazuhisa; Kawato, Mitsuo; Sasaki, Yuka; Watanabe, Takeo

    2016-07-25

    Associative learning is an essential brain process where the contingency of different items increases after training. Associative learning has been found to occur in many brain regions [1-4]. However, there is no clear evidence that associative learning of visual features occurs in early visual areas, although a number of studies have indicated that learning of a single visual feature (perceptual learning) involves early visual areas [5-8]. Here, via decoded fMRI neurofeedback termed "DecNef" [9], we tested whether associative learning of orientation and color can be created in early visual areas. During 3 days of training, DecNef induced fMRI signal patterns that corresponded to a specific target color (red) mostly in early visual areas while a vertical achromatic grating was physically presented to participants. As a result, participants came to perceive "red" significantly more frequently than "green" in an achromatic vertical grating. This effect was also observed 3-5 months after the training. These results suggest that long-term associative learning of two different visual features such as orientation and color was created, most likely in early visual areas. This newly extended technique that induces associative learning is called "A-DecNef," and it may be used as an important tool for understanding and modifying brain functions because associations are fundamental and ubiquitous functions in the brain. Copyright © 2016 Elsevier Ltd. All rights reserved.

  11. Learning to associate orientation with color in early visual areas by associative decoded fMRI neurofeedback

    Science.gov (United States)

    Amano, Kaoru; Shibata, Kazuhisa; Kawato, Mitsuo; Sasaki, Yuka; Watanabe, Takeo

    2016-01-01

    Summary Associative learning is an essential brain process where the contingency of different items increases after training. Associative learning has been found to occur in many brain regions [1-4]. However, there is no clear evidence that associative learning of visual features occurs in early visual areas, although a number of studies have indicated that learning of a single visual feature (perceptual learning) involves early visual areas [5-8]. Here, via decoded functional magnetic resonance imaging (fMRI) neurofeedback, termed “DecNef” [9], we tested whether associative learning of color and orientation can be created in early visual areas. During three days' training, DecNef induced fMRI signal patterns that corresponded to a specific target color (red) mostly in early visual areas while a vertical achromatic grating was physically presented to participants. As a result, participants came to perceive “red” significantly more frequently than “green” in an achromatic vertical grating. This effect was also observed 3 to 5 months after the training. These results suggest that long-term associative learning of the two different visual features such as color and orientation was created most likely in early visual areas. This newly extended technique that induces associative learning is called “A(ssociative)-DecNef” and may be used as an important tool for understanding and modifying brain functions, since associations are fundamental and ubiquitous functions in the brain. PMID:27374335

  12. Optimizing area under the ROC curve using semi-supervised learning.

    Science.gov (United States)

    Wang, Shijun; Li, Diana; Petrick, Nicholas; Sahiner, Berkman; Linguraru, Marius George; Summers, Ronald M

    2015-01-01

    Receiver operating characteristic (ROC) analysis is a standard methodology to evaluate the performance of a binary classification system. The area under the ROC curve (AUC) is a performance metric that summarizes how well a classifier separates two classes. Traditional AUC optimization techniques are supervised learning methods that utilize only labeled data (i.e., the true class is known for all data) to train the classifiers. In this work, inspired by semi-supervised and transductive learning, we propose two new AUC optimization algorithms hereby referred to as semi-supervised learning receiver operating characteristic (SSLROC) algorithms, which utilize unlabeled test samples in classifier training to maximize AUC. Unlabeled samples are incorporated into the AUC optimization process, and their ranking relationships to labeled positive and negative training samples are considered as optimization constraints. The introduced test samples will cause the learned decision boundary in a multidimensional feature space to adapt not only to the distribution of labeled training data, but also to the distribution of unlabeled test data. We formulate the semi-supervised AUC optimization problem as a semi-definite programming problem based on the margin maximization theory. The proposed methods SSLROC1 (1-norm) and SSLROC2 (2-norm) were evaluated using 34 (determined by power analysis) randomly selected datasets from the University of California, Irvine machine learning repository. Wilcoxon signed rank tests showed that the proposed methods achieved significant improvement compared with state-of-the-art methods. The proposed methods were also applied to a CT colonography dataset for colonic polyp classification and showed promising results.

  13. The State of Ethical Learning of Students in the Spanish University System: Considerations for the European Higher Education Area

    Science.gov (United States)

    Buxarrais, Maria Rosa; Esteban, Francisco; Mellen, Teodor

    2015-01-01

    With the establishment of the European higher education area (EHEA), the ethical learning of students is a matter of central importance in European universities. This paper examines the current state of ethical learning of students in the Spanish university system. We present the results of a descriptive survey, which used a training model for…

  14. Delivering Formal Outdoor Learning in Protected Areas: A Case Study of Scottish Natural Heritage National Nature Reserves

    Science.gov (United States)

    Black, Rosemary

    2013-01-01

    In most countries, protected area management agencies provide formal outdoor learning opportunities for a wide range of educational groups. For high-quality formal outdoor learning programmes that provide a range of experiences to be effectively delivered, specific resources and infrastructure are needed. Using the case study of Scottish Natural…

  15. Small Schools Student Learning Objectives, 9-12: Mathematics, Reading, Reading in the Content Areas, Language Arts.

    Science.gov (United States)

    Nelson, JoAnne, Ed.; Hartl, David, Ed.

    Designed by Washington curriculum specialists and secondary teachers to assist teachers in small schools with the improvement of curriculum and instruction and to aid smaller districts lacking curriculum personnel to comply with Washington's Student Learning Objectives Law, this handbook contains learning objectives in the areas of language arts,…

  16. Using Virtual Manipulative Instruction to Teach the Concepts of Area and Perimeter to Secondary Students with Learning Disabilities

    Science.gov (United States)

    Satsangi, Rajiv; Bouck, Emily C.

    2015-01-01

    Secondary students with a learning disability in mathematics often struggle with the academic demands presented in advanced mathematics courses, such as algebra and geometry. With greater emphasis placed on problem solving and higher level thinking skills in these subject areas, students with a learning disability in mathematics often fail to keep…

  17. Pilot exemption of the controlled area from regulatory control at NPP A1 -lessons learned

    International Nuclear Information System (INIS)

    Slaninka, A.; Listjak, M.; Slavik, O.; Rau, L.

    2014-01-01

    The contribution includes the lessons learned within frame of the radiological characterisation of surface ground layer in the NPP A1 site of area approximately 60 m2 (9 x 7 m) that was a part of Controlled area. Aim of the characterisation was a demonstration that the area fulfils the requirements to exemption from Controlled area for purpose of decommissioning activities carry out within frame of II. stage of NPP A1 decommissioning project.The requirements on free release of materials into the environment were applied (e.g. 300 Bq/kg for single 137 Cs). Radiological characterisation was performed by two independent methods; in situ scintillation gamma spectrometry and systematic sampling in regular grid followed by gamma spectrometry analyses in accredited laboratory of VUJE, Inc. (S-219). This improved the quality of monitoring and at the same time it enabled the inter-comparison of results obtained by both mentioned independent methods.Characterised ground area was partitioned to smaller sub-areas of 4 m2. At ground layer of 20 cm it means approximately 1000 kg of ground (in compliance with requirements on reference area at even activity distribution according to government regulation No 345/2006) The results of measurements showed that under appropriate conditions (sufficiently low radiation background, on interfering external sources) also the designed in situ method is effective and reliable tool for contaminated ground layer identification. In addition the in situ method is more effective in terms of time and cost consumption on unit of monitored area. (authors)

  18. PREZICEREA PERFORMANŢELOR STUDENŢILOR FOLOSIND ÎNVĂŢAREA AUTOMATĂ (Machine Learning)

    OpenAIRE

    Maria CRISTEI; Ghenadie MARIN; Victor STELEA

    2017-01-01

    În prezent, învăţarea automată (machine learning) ocupă un loc important în inteligenţa artificială, preocupându-se de dezvoltarea algoritmilor ce permit unui sistem informatic să înveţe date, reguli şi algoritmi. Învăţarea automată pre­supune în primul rând identificarea şi implementarea unei modalităţi cât mai eficiente de reprezentare a informaţiilor, în sensul facilitării căutării, reorganizării şi modificării acestora. În acest sens, în prezentul articol se descrie utilitatea şi aplicabi...

  19. A screening on Specific Learning Disorders in an Italian speaking high genetic homogeneity area.

    Science.gov (United States)

    Cappa, Claudia; Giulivi, Sara; Schilirò, Antonino; Bastiani, Luca; Muzio, Carlo; Meloni, Fabrizio

    2015-01-01

    The aim of the present research is to investigate the prevalence of Specific Learning Disorders (SLD) in Ogliastra, an area of the island of Sardinia, Italy. Having experienced centuries of isolation, Ogliastra has become a high genetic homogeneity area, and is considered particularly interesting for studies on different kinds of pathologies. Here we are going to describe the results of a screening carried out throughout 2 consecutive years in 49 second grade classes (24 considered in the first year and 25 in the second year of the study) of the Ogliastra region. A total of 610 pupils (average age 7.54 years; 293 female, 317 male) corresponding to 68.69% of all pupils who were attending second grade in the area, took part in the study. The tool used for the screening was "RSR-DSA. Questionnaire for the detection of learning difficulties and disorders", which allowed the identification of 83 subjects at risk (13.61% of the whole sample involved in the study). These subjects took part in an enhancement training program of about 6 months. After the program, pupils underwent assessment for reading, writing and calculation abilities, as well as cognitive assessment. According to the results of the assessment, the prevalence of SLDs is 6.06%. For what concerns dyslexia, 4.75% of the total sample manifested this disorder either in isolation or in comorbidity with other disorders. According to the first national epidemiological investigation carried out in Italy, the prevalence of dyslexia is 3.1-3.2%, which is lower than the prevalence obtained in the present study. Given the genetic basis of SLDs, this result, together with the presence of several cases of SLD in isolation (17.14%) and with a 3:1 ratio of males to females diagnosed with a SLD, was to be expected in a sample coming from a high genetic homogeneity area. Copyright © 2015 Elsevier Ltd. All rights reserved.

  20. Modeling And Simulation As The Basis For Hybridity In The Graphic Discipline Learning/Teaching Area

    Directory of Open Access Journals (Sweden)

    Jana Žiljak Vujić

    2009-01-01

    Full Text Available Only some fifteen years have passed since the scientific graphics discipline was established. In the transition period from the College of Graphics to «Integrated Graphic Technology Studies» to the contemporary Faculty of Graphics Arts with the University in Zagreb, three main periods of development can be noted: digital printing, computer prepress and automatic procedures in postpress packaging production. Computer technology has enabled a change in the methodology of teaching graphics technology and studying it on the level of secondary and higher education. The task has been set to create tools for simulating printing processes in order to master the program through a hybrid system consisting of methods that are separate in relation to one another: learning with the help of digital models and checking in the actual real system. We are setting a hybrid project for teaching because the overall acquired knowledge is the result of completely different methods. The first method is on the free programs level functioning without consequences. Everything remains as a record in the knowledge database that can be analyzed, statistically processed and repeated with new parameter values of the system being researched. The second method uses the actual real system where the results are in proving the value of new knowledge and this is something that encourages and stimulates new cycles of hybrid behavior in mastering programs. This is the area where individual learning incurs. The hybrid method allows the possibility of studying actual situations on a computer model, proving it on an actual real model and entering the area of learning envisaging future development.

  1. Modeling and Simulation as the Basis for Hybridity in the Graphic Discipline Learning/Teaching Area

    Directory of Open Access Journals (Sweden)

    Vilko Ziljak

    2009-11-01

    Full Text Available Only some fifteen years have passed since the scientific graphics discipline was established. In the transition period from the College of Graphics to «Integrated Graphic Technology Studies» to the contemporary Faculty of Graphics Arts with the University in Zagreb, three main periods of development can be noted: digital printing, computer prepress and automatic procedures in postpress packaging production. Computer technology has enabled a change in the methodology of teaching graphics technology and studying it on the level of secondary and higher education. The task has been set to create tools for simulating printing processes in order to master the program through a hybrid system consisting of methods that are separate in relation to one another: learning with the help of digital models and checking in the actual real system.  We are setting a hybrid project for teaching because the overall acquired knowledge is the result of completely different methods. The first method is on the free programs level functioning without consequences. Everything remains as a record in the knowledge database that can be analyzed, statistically processed and repeated with new parameter values of the system being researched. The second method uses the actual real system where the results are in proving the value of new knowledge and this is something that encourages and stimulates new cycles of hybrid behavior in mastering programs. This is the area where individual learning incurs. The hybrid method allows the possibility of studying actual situations on a computer model, proving it on an actual real model and entering the area of learning envisaging future development.

  2. Informal mobile learning in nurse education and practice in remote areas--a case study from rural South Africa.

    Science.gov (United States)

    Pimmer, Christoph; Brysiewicz, Petra; Linxen, Sebastian; Walters, Fiona; Chipps, Jennifer; Gröhbiel, Urs

    2014-11-01

    With the proliferation of portable digital technology, mobile learning is becoming increasingly popular in nursing education and practice. Most of the research in this field has been concentrated on small-scale projects in high income countries. Very little is known about the ways in which nurses and midwives use mobile technology in remote and resource poor areas in informal learning contexts in low and middle income countries. To address this gap, this study investigates whether nurses use mobile phones as effective educational tools in marginalized and remote areas, and if so, how and why. In rural South Africa, 16 nurses who attended an advanced midwifery education program, facilitators and clinical managers were interviewed about their use of digital mobile technology for learning. Techniques of qualitative content analysis were used to examine the data. Several rich "organically-grown", learning practices were identified: mobile phone usage facilitated (1) authentic problem solving; (2) reflective practice; (3) emotional support and belongingness; (4) the realization of unpredictable teaching situations; and (5) life-long learning. It is concluded that mobile phones, and the convergence of mobile phones and social media, in particular, change learning environments. In addition, these tools are suitable to connect learners and learning distributed in marginalized areas. Finally, a few suggestions are made about how these insights from informal settings can inform the development of more systematic mobile learning formats. Copyright © 2014 Elsevier Ltd. All rights reserved.

  3. Role of Broca's Area in Implicit Motor Skill Learning: Evidence from Continuous Theta-Burst Magnetic Stimulation

    Science.gov (United States)

    Clerget, Emeline; Poncin, William; Fadiga, Luciano; Olivier, Etienne

    2012-01-01

    Complex actions can be regarded as a concatenation of simple motor acts, arranged according to specific rules. Because the caudal part of the Broca's region (left Brodmann's area 44, BA 44) is involved in processing hierarchically organized behaviors, we aimed to test the hypothesis that this area may also play a role in learning structured motor…

  4. Social learning and energy systems: implementing a high energy saving goal in a residential area

    Energy Technology Data Exchange (ETDEWEB)

    Glad, Wiktoria (Linkoeping University, Department of Thematic Studies (Sweden))

    2011-07-01

    Generally, retrofitting existing housing stock is considered the area with the most energy-efficiency potential, since buildings last a long time and turnover is slow. This paper presents practice- based research into social learning in the domain of new energy systems in existing dwellings. A case study from Sweden is presented and analysed in relation to social learning. The methodology and data collection are guided by a 'thick description' approach that acknowledges the importance of putting human action in context. The theoretical framework chosen also stresses contexts, using social learning concepts from social shaping of technology (SST) theory. The energy systems as used and managed by professionals and tenants of this retrofitted housing project are the focus. I analyse three connected systems, i.e., the electricity, heating, and hot water system, all parts of a novel individual metering and debiting system installed during the retrofit. An overall goal of the retrofit was to reduce energy demand by 52 % which was achieved but not by the measures invested in. The delivery, metering, and debiting of the energy services are managed in-house by the housing company, but it is up to the tenants to reduce their energy demand. The housing company's technology and implementation policies were ambivalent and evolved in response to the needs of professionals and tenants. Statistics from the property owner's evaluation indicate that the project achieved its goal, but the figures hide that it might have been due to fewer flats, new tenants and new use of buildings

  5. The development of learning model for natural science based on environmental in conservation area of Bengkulu University

    Science.gov (United States)

    Karyadi, B.; Susanta, A.; Winari, E. W.; Ekaputri, R. Z.; Enersi, D.

    2018-05-01

    Research on development of a learning model for Natural Science base on conservation area in Bengkulu University has been conducted. The research methods were referred to the standard steps of Research and Development. Stage activities were (a) analysis of needs, (b) observation of the ecological aspects of conservation area as a learning resource, and (c) instructional design based on conservation area for secondary school students. The observation results on the ecological aspects revealed that the diversity of plants and animals, at the conservation area were sufficient as a source for learning. The instructional design was prepared in three phase activities namely Introduction-Exploration-Interpretation (IEI), and then it was compiled in a teaching material Based on Surrounding Natural Environment” (BSNE). The results of a limited scale trial at secondary school students in two districts of Bengkulu province showed that, the students who learned using the IEI model at the conservation area have a good performance and critical thinking. The product from the research is a book named BSNE that can be used for teachers and conservation practitioners in doing the learning activities on environmental conservation which involved public participation.

  6. Secondary school learners' perceptions of responsible citizenship as taught in the life orientation learning area: a case study

    OpenAIRE

    2008-01-01

    In this study, secondary school learners perceptions of Responsible Citizenship as taught in the Life Orientation learning area are explored. Citizen Education, which is set out in Learning Outcome Two of the Life Orientation Curriculum, forms the basis of the programme used to conduct this study. An international as well as a national perspective of Responsible Citizenship and the teaching thereof is explicated with special reference being made to the Further Education and Training Band. The...

  7. Machine learning algorithms for meteorological event classification in the coastal area using in-situ data

    Science.gov (United States)

    Sokolov, Anton; Gengembre, Cyril; Dmitriev, Egor; Delbarre, Hervé

    2017-04-01

    The problem is considered of classification of local atmospheric meteorological events in the coastal area such as sea breezes, fogs and storms. The in-situ meteorological data as wind speed and direction, temperature, humidity and turbulence are used as predictors. Local atmospheric events of 2013-2014 were analysed manually to train classification algorithms in the coastal area of English Channel in Dunkirk (France). Then, ultrasonic anemometer data and LIDAR wind profiler data were used as predictors. A few algorithms were applied to determine meteorological events by local data such as a decision tree, the nearest neighbour classifier, a support vector machine. The comparison of classification algorithms was carried out, the most important predictors for each event type were determined. It was shown that in more than 80 percent of the cases machine learning algorithms detect the meteorological class correctly. We expect that this methodology could be applied also to classify events by climatological in-situ data or by modelling data. It allows estimating frequencies of each event in perspective of climate change.

  8. New trends on mobile learning area: The review of published articles on mobile learning in science direct database

    Directory of Open Access Journals (Sweden)

    Emrah Soykan

    2015-03-01

    Full Text Available Articles published in Science Direct between 2009 and 2014 (May were screened in this research. This is because of its respectable position in the field of technology and peer-reviewed secured structure of this database. From a total of 161 articles within the scope of the screening 156 articles were included in the study. Through this research, new trends in mobile learning activities in recent years will be determined and a new way will be shown for researchers . "Mobile learning" keywords used during researching process and all the articles with "mobile learning" keywords were included in this study. As a result of this research, it is determined that the most studies in the field of mobile learning were published in 2013 in Malaysia, UK and Taiwan. Particularly undergraduate students was selected as the sample group of the researches. It is emerged that, experimental research was used maximum as a research model. Quantitative data collection tools were used most as a means of data collection. It was emerged that foreign language education is the most widely used field in mobile learning. It is seen that smart phones as mobile learning devices and IOS operating system as an operating system were used in the most researches. Mobile-based method is seen to be used as the teaching method in the present study.

  9. Response to palatability after area postrema lesions: a result of learned aversions.

    Science.gov (United States)

    Tomoyasu, N; Kenney, N J

    1989-11-01

    The role of palatability, novelty, and food aversion in determining changes of food choice after ablation of the area postrema and caudal-medial aspect of the nucleus of the solitary tract (AP/cmNTS) is examined through a series of studies utilizing 24-h, two-food choice tests. On test days, the food that the animal has ingested since the time of lesioning or sham surgery is presented along with a novel food that varies in palatability. The results indicate that postlesion diet history is the major determinant of food choice by lesioned rats. Lesioned rats consistently take less of their familiar postlesion food than diet-matched controls, suggesting that the lesioned rats have developed an aversion to that food. Over-ingestion of the novel food may occur, but this outcome is not reliable. No indication that the animals' response to food palatability is affected by AP/cmNTS ablation was found. Learned aversion to a food ingested after AP/cmNTS ablation may account not only for changes of food preference after the lesion but also may be involved in the hypophagia and weight loss resulting from the ablation.

  10. Klientu attiecību sociālās vadības ietekme uz klientu lojalitāti; sociālā tīkla Facebook piemērs

    OpenAIRE

    Avotiņa, Lelde

    2015-01-01

    Maģistra darba “Klientu attiecību sociālās vadības ietekme uz klientu lojalitāti; sociālā tīkla Facebook piemērs” mērķis ir noteikt un analizēt faktorus, kas ietekmē lojālo klientu piesaistīšanu un noturēšanu sociālo mediju vidē klientu attiecību sociālās vadības kontekstā. Maģistra darba pirmajā nodaļā tiek aplūkoti jautājumi, kas skar klientu lojalitāti, klientu attiecību vadību, klientu lomu sociālo mediju kontekstā un klientu attiecību sociālo vadību. Šī teorētiskā apkopojuma rezultātā...

  11. Cathodal Transcranial Direct Current Stimulation Over Left Dorsolateral Prefrontal Cortex Area Promotes Implicit Motor Learning in a Golf Putting Task.

    Science.gov (United States)

    Zhu, Frank F; Yeung, Andrew Y; Poolton, Jamie M; Lee, Tatia M C; Leung, Gilberto K K; Masters, Rich S W

    2015-01-01

    Implicit motor learning is characterized by low dependence on working memory and stable performance despite stress, fatigue, or multi-tasking. However, current paradigms for implicit motor learning are based on behavioral interventions that are often task-specific and limited when applied in practice. To investigate whether cathodal transcranial direct current stimulation (tDCS) over the left dorsolateral prefrontal cortex (DLPFC) area during motor learning suppressed working memory activity and reduced explicit verbal-analytical involvement in movement control, thereby promoting implicit motor learning. Twenty-seven healthy individuals practiced a golf putting task during a Training Phase while receiving either real cathodal tDCS stimulation over the left DLPFC area or sham stimulation. Their performance was assessed during a Test phase on another day. Verbal working memory capacity was assessed before and after the Training Phase, and before the Test Phase. Compared to sham stimulation, real stimulation suppressed verbal working memory activity after the Training Phase, but enhanced golf putting performance during the Training Phase and the Test Phase, especially when participants were required to multi-task. Cathodal tDCS over the left DLPFC may foster implicit motor learning and performance in complex real-life motor tasks that occur during sports, surgery or motor rehabilitation. Copyright © 2015 Elsevier Inc. All rights reserved.

  12. Learning Peri-saccadic Remapping of Receptive Field from Experience in Lateral Intraparietal Area.

    Science.gov (United States)

    Wang, Xiao; Wu, Yan; Zhang, Mingsha; Wu, Si

    2017-01-01

    Our eyes move constantly at a frequency of 3-5 times per second. These movements, called saccades, induce the sweeping of visual images on the retina, yet we perceive the world as stable. It has been suggested that the brain achieves this visual stability via predictive remapping of neuronal receptive field (RF). A recent experimental study disclosed details of this remapping process in the lateral intraparietal area (LIP), that is, about the time of the saccade, the neuronal RF expands along the saccadic trajectory temporally, covering the current RF (CRF), the future RF (FRF), and the region the eye will sweep through during the saccade. A cortical wave (CW) model was also proposed, which attributes the RF remapping as a consequence of neural activity propagating in the cortex, triggered jointly by a visual stimulus and the corollary discharge (CD) signal responsible for the saccade. In this study, we investigate how this CW model is learned naturally from visual experiences at the development of the brain. We build a two-layer network, with one layer consisting of LIP neurons and the other superior colliculus (SC) neurons. Initially, neuronal connections are random and non-selective. A saccade will cause a static visual image to sweep through the retina passively, creating the effect of the visual stimulus moving in the opposite direction of the saccade. According to the spiking-time-dependent-plasticity rule, the connection path in the opposite direction of the saccade between LIP neurons and the connection path from SC to LIP are enhanced. Over many such visual experiences, the CW model is developed, which generates the peri-saccadic RF remapping in LIP as observed in the experiment.

  13. Learning Peri-saccadic Remapping of Receptive Field from Experience in Lateral Intraparietal Area

    Directory of Open Access Journals (Sweden)

    Xiao Wang

    2017-11-01

    Full Text Available Our eyes move constantly at a frequency of 3–5 times per second. These movements, called saccades, induce the sweeping of visual images on the retina, yet we perceive the world as stable. It has been suggested that the brain achieves this visual stability via predictive remapping of neuronal receptive field (RF. A recent experimental study disclosed details of this remapping process in the lateral intraparietal area (LIP, that is, about the time of the saccade, the neuronal RF expands along the saccadic trajectory temporally, covering the current RF (CRF, the future RF (FRF, and the region the eye will sweep through during the saccade. A cortical wave (CW model was also proposed, which attributes the RF remapping as a consequence of neural activity propagating in the cortex, triggered jointly by a visual stimulus and the corollary discharge (CD signal responsible for the saccade. In this study, we investigate how this CW model is learned naturally from visual experiences at the development of the brain. We build a two-layer network, with one layer consisting of LIP neurons and the other superior colliculus (SC neurons. Initially, neuronal connections are random and non-selective. A saccade will cause a static visual image to sweep through the retina passively, creating the effect of the visual stimulus moving in the opposite direction of the saccade. According to the spiking-time-dependent-plasticity rule, the connection path in the opposite direction of the saccade between LIP neurons and the connection path from SC to LIP are enhanced. Over many such visual experiences, the CW model is developed, which generates the peri-saccadic RF remapping in LIP as observed in the experiment.

  14. Improving adult learning and professional development in a post-conflict area: the case of Cambodia

    NARCIS (Netherlands)

    Berkvens, J.; Kalyanpur, M.; Kuiper, Wilmad; van den Akker, Jan

    2012-01-01

    All over the world, international development organizations try to increase professional capacity of local staff. These attempts are thought to fail because of financial constraints, but this is just part of the story. Professional development and adult learning theories approach learning from a

  15. Functional connectivity between somatosensory and motor brain areas predicts individual differences in motor learning by observing.

    Science.gov (United States)

    McGregor, Heather R; Gribble, Paul L

    2017-08-01

    Action observation can facilitate the acquisition of novel motor skills; however, there is considerable individual variability in the extent to which observation promotes motor learning. Here we tested the hypothesis that individual differences in brain function or structure can predict subsequent observation-related gains in motor learning. Subjects underwent an anatomical MRI scan and resting-state fMRI scans to assess preobservation gray matter volume and preobservation resting-state functional connectivity (FC), respectively. On the following day, subjects observed a video of a tutor adapting her reaches to a novel force field. After observation, subjects performed reaches in a force field as a behavioral assessment of gains in motor learning resulting from observation. We found that individual differences in resting-state FC, but not gray matter volume, predicted postobservation gains in motor learning. Preobservation resting-state FC between left primary somatosensory cortex and bilateral dorsal premotor cortex, primary motor cortex, and primary somatosensory cortex and left superior parietal lobule was positively correlated with behavioral measures of postobservation motor learning. Sensory-motor resting-state FC can thus predict the extent to which observation will promote subsequent motor learning. NEW & NOTEWORTHY We show that individual differences in preobservation brain function can predict subsequent observation-related gains in motor learning. Preobservation resting-state functional connectivity within a sensory-motor network may be used as a biomarker for the extent to which observation promotes motor learning. This kind of information may be useful if observation is to be used as a way to boost neuroplasticity and sensory-motor recovery for patients undergoing rehabilitation for diseases that impair movement such as stroke. Copyright © 2017 the American Physiological Society.

  16. Milföy Hamurunun Isıl Yayınım Katsayısının Sıcaklıkla Değişiminin Belirlenmesi

    Directory of Open Access Journals (Sweden)

    Seher Kumcuoğlu

    2015-02-01

    Full Text Available Bu çalışmada milföy hamurunun ısıl yayınım katsayısı modifiye edilmiş Dickerson metodu kullanılarak -35 °C ile +10 °C sıcaklık aralığında deneysel olarak ölçülmüştür. Örneğin donmuş durumdaki ısıl yayınım katsayısının donmamış durumuna ait ısıl yayınım katsayısından daha yüksek olduğu ve sıcaklığın artmasıyla azaldığı tespit edilmiştir. Donmuş durum için elde edilen ölçüm sonuçlarına regresyon analizi uygulanarak milföy hamurunun ısıl yayınım katsayısının sıcaklıkla değişimini veren empirik denklem elde edilmiştir. Donmamış durumda, 3-10 °C sıcaklık aralığında örneğin ısıl yayınım katsayısı 1.08 x 10-7 m²/s olarak ölçülmüştür.

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

    Directory of Open Access Journals (Sweden)

    Rully Adi Nugroho

    2017-08-01

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

  18. Opinions from teachers in the Fresno area of Central California regarding the influence of mobile technology on their students’ learning

    Directory of Open Access Journals (Sweden)

    Navaridas, Fermín

    2013-10-01

    Full Text Available This paper presents the most relevant results of a study in which opinions of the teachers in the area of Fresno (Central California, USA about the effects of the integration of mobile devices into the teaching-learning process. Among other objectives, this study has tried to analyze the influence of mobile learning over three very important learning factors: affective-emotional (motivation, ethic-social (social skills and the cognitive one (cognitive skills. In order to carry out this study, a descriptive methodological approach was adopted, using the survey technique as the most adequate method to collect teachers´ opinions in a relatively fast and precise way. Obtained results show a widespread agreement among teachers about the pedagogical potential of mobile devices as a tool to improve learning quality. In general terms, conclusions suggest an improvement in the students’ interest on educational tasks, an increase during study activities, a better collaborative work, as well as an improvement of creativity and information acquisition.

  19. [Teaching and learning the science of qualitative research in the health area].

    Science.gov (United States)

    Calderón, Carlos

    2012-03-01

    Qualitative research constitutes a necessary perspective of knowledge within the field of health services. Healthcare always occurs in complex contexts and its enhancement requires research methodologies that address this complexity. Nevertheless, the knowledge and use of qualitative research in health services is still very limited. Among the different factors that affect its development, the teaching and learning of qualitative research proves to be fundamental, even beyond undergraduate education. Healthcare professionals and health services present certain specific aspects that must be considered in the design and development of the teaching and learning of qualitative research. Based on an eight-year online training experience with Primary Healthcare professionals, the main challenges are indentified and discussed.

  20. Effect of internal pressure and gas/liquid interface area on the CO mass transfer coefficient using hollow fibre membranes as a high mass transfer gas diffusing system for microbial syngas fermentation.

    Science.gov (United States)

    Yasin, Muhammad; Park, Shinyoung; Jeong, Yeseul; Lee, Eun Yeol; Lee, Jinwon; Chang, In Seop

    2014-10-01

    This study proposed a submerged hollow fibre membrane bioreactor (HFMBR) system capable of achieving high carbon monoxide (CO) mass transfer for applications in microbial synthesis gas conversion systems. Hydrophobic polyvinylidene fluoride (PVDF) membrane fibres were used to fabricate a membrane module, which was used for pressurising CO in water phase. Pressure through the hollow fibre lumen (P) and membrane surface area per unit working volume of the liquid (A(S)/V(L)) were used as controllable parameters to determine gas-liquid volumetric mass transfer coefficient (k(L)a) values. We found a k(L)a of 135.72 h(-1) when P was 93.76 kPa and AS/VL was fixed at 27.5m(-1). A higher k(L)a of 155.16 h(-1) was achieved by increasing AS/VL to 62.5m(-1) at a lower P of 37.23 kPa. Practicality of HFMBR to support microbial growth and organic product formation was assessed by CO/CO2 fermentation using Eubacterium limosum KIST612. Copyright © 2014 Elsevier Ltd. All rights reserved.

  1. Improving Students’ Sense to Learn Language in Islamic Institution of Coastal Area Indonesia

    Science.gov (United States)

    Kuraedah, St.; Azaliah Mar, Nur; Gunawan, Fahmi

    2018-05-01

    This research aims to examine the ways to develop a sense of love for learning Arabic among students in Islamic Higher education of Indonesia. This study is essential to do because Arabic should be the favourite subject by the students. In addition, Arabic is also the language of Al-Qur’an. As the language of Al-Qur’an, Arabic for Indonesian is not a foreign language as other foreign languages. In fact, the Arabic becomes one of the dreaded subjects by most students, especially at State Islamic Institute of Kendari. Therefore, it takes the tips and efforts by the Arabic teachers to make Arabic more interesting for the students. The results show that one way to increase the motivation to learn Arabic for students is to develop students’ sense of love to Arabic. The teachers can do it by showing how easy Arabic is and how important it is since it is a language of religion and science, and providing the tips to learn the language. Besides, they also can explain some borrowing words from Arabic adopted into Indonesian and to be used in daily conversations without realizing it, and show the form of word derivation in Arabic that can help to enrich the Arabic vocabulary. The teacher should tell the students that knowing one word in Arabic can develop into some vocabulary with different meanings.

  2. Multi-temporal Land Use Mapping of Coastal Wetlands Area using Machine Learning in Google Earth Engine

    Science.gov (United States)

    Farda, N. M.

    2017-12-01

    Coastal wetlands provide ecosystem services essential to people and the environment. Changes in coastal wetlands, especially on land use, are important to monitor by utilizing multi-temporal imagery. The Google Earth Engine (GEE) provides many machine learning algorithms (10 algorithms) that are very useful for extracting land use from imagery. The research objective is to explore machine learning in Google Earth Engine and its accuracy for multi-temporal land use mapping of coastal wetland area. Landsat 3 MSS (1978), Landsat 5 TM (1991), Landsat 7 ETM+ (2001), and Landsat 8 OLI (2014) images located in Segara Anakan lagoon are selected to represent multi temporal images. The input for machine learning are visible and near infrared bands, PCA band, invers PCA bands, bare soil index, vegetation index, wetness index, elevation from ASTER GDEM, and GLCM (Harralick) texture, and also polygon samples in 140 locations. There are 10 machine learning algorithms applied to extract coastal wetlands land use from Landsat imagery. The algorithms are Fast Naive Bayes, CART (Classification and Regression Tree), Random Forests, GMO Max Entropy, Perceptron (Multi Class Perceptron), Winnow, Voting SVM, Margin SVM, Pegasos (Primal Estimated sub-GrAdient SOlver for Svm), IKPamir (Intersection Kernel Passive Aggressive Method for Information Retrieval, SVM). Machine learning in Google Earth Engine are very helpful in multi-temporal land use mapping, the highest accuracy for land use mapping of coastal wetland is CART with 96.98 % Overall Accuracy using K-Fold Cross Validation (K = 10). GEE is particularly useful for multi-temporal land use mapping with ready used image and classification algorithms, and also very challenging for other applications.

  3. Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

    Science.gov (United States)

    Zhou, Chao; Yin, Kunlong; Cao, Ying; Ahmed, Bayes; Li, Yuanyao; Catani, Filippo; Pourghasemi, Hamid Reza

    2018-03-01

    Landslide is a common natural hazard and responsible for extensive damage and losses in mountainous areas. In this study, Longju in the Three Gorges Reservoir area in China was taken as a case study for landslide susceptibility assessment in order to develop effective risk prevention and mitigation strategies. To begin, 202 landslides were identified, including 95 colluvial landslides and 107 rockfalls. Twelve landslide causal factor maps were prepared initially, and the relationship between these factors and each landslide type was analyzed using the information value model. Later, the unimportant factors were selected and eliminated using the information gain ratio technique. The landslide locations were randomly divided into two groups: 70% for training and 30% for verifying. Two machine learning models: the support vector machine (SVM) and artificial neural network (ANN), and a multivariate statistical model: the logistic regression (LR), were applied for landslide susceptibility modeling (LSM) for each type. The LSM index maps, obtained from combining the assessment results of the two landslide types, were classified into five levels. The performance of the LSMs was evaluated using the receiver operating characteristics curve and Friedman test. Results show that the elimination of noise-generating factors and the separated modeling of each landslide type have significantly increased the prediction accuracy. The machine learning models outperformed the multivariate statistical model and SVM model was found ideal for the case study area.

  4. Extraction of Built-Up Areas Using Convolutional Neural Networks and Transfer Learning from SENTINEL-2 Satellite Images

    Science.gov (United States)

    Bramhe, V. S.; Ghosh, S. K.; Garg, P. K.

    2018-04-01

    With rapid globalization, the extent of built-up areas is continuously increasing. Extraction of features for classifying built-up areas that are more robust and abstract is a leading research topic from past many years. Although, various studies have been carried out where spatial information along with spectral features has been utilized to enhance the accuracy of classification. Still, these feature extraction techniques require a large number of user-specific parameters and generally application specific. On the other hand, recently introduced Deep Learning (DL) techniques requires less number of parameters to represent more abstract aspects of the data without any manual effort. Since, it is difficult to acquire high-resolution datasets for applications that require large scale monitoring of areas. Therefore, in this study Sentinel-2 image has been used for built-up areas extraction. In this work, pre-trained Convolutional Neural Networks (ConvNets) i.e. Inception v3 and VGGNet are employed for transfer learning. Since these networks are trained on generic images of ImageNet dataset which are having very different characteristics from satellite images. Therefore, weights of networks are fine-tuned using data derived from Sentinel-2 images. To compare the accuracies with existing shallow networks, two state of art classifiers i.e. Gaussian Support Vector Machine (SVM) and Back-Propagation Neural Network (BP-NN) are also implemented. Both SVM and BP-NN gives 84.31 % and 82.86 % overall accuracies respectively. Inception-v3 and VGGNet gives 89.43 % of overall accuracy using fine-tuned VGGNet and 92.10 % when using Inception-v3. The results indicate high accuracy of proposed fine-tuned ConvNets on a 4-channel Sentinel-2 dataset for built-up area extraction.

  5. EXTRACTION OF BUILT-UP AREAS USING CONVOLUTIONAL NEURAL NETWORKS AND TRANSFER LEARNING FROM SENTINEL-2 SATELLITE IMAGES

    Directory of Open Access Journals (Sweden)

    V. S. Bramhe

    2018-04-01

    Full Text Available With rapid globalization, the extent of built-up areas is continuously increasing. Extraction of features for classifying built-up areas that are more robust and abstract is a leading research topic from past many years. Although, various studies have been carried out where spatial information along with spectral features has been utilized to enhance the accuracy of classification. Still, these feature extraction techniques require a large number of user-specific parameters and generally application specific. On the other hand, recently introduced Deep Learning (DL techniques requires less number of parameters to represent more abstract aspects of the data without any manual effort. Since, it is difficult to acquire high-resolution datasets for applications that require large scale monitoring of areas. Therefore, in this study Sentinel-2 image has been used for built-up areas extraction. In this work, pre-trained Convolutional Neural Networks (ConvNets i.e. Inception v3 and VGGNet are employed for transfer learning. Since these networks are trained on generic images of ImageNet dataset which are having very different characteristics from satellite images. Therefore, weights of networks are fine-tuned using data derived from Sentinel-2 images. To compare the accuracies with existing shallow networks, two state of art classifiers i.e. Gaussian Support Vector Machine (SVM and Back-Propagation Neural Network (BP-NN are also implemented. Both SVM and BP-NN gives 84.31 % and 82.86 % overall accuracies respectively. Inception-v3 and VGGNet gives 89.43 % of overall accuracy using fine-tuned VGGNet and 92.10 % when using Inception-v3. The results indicate high accuracy of proposed fine-tuned ConvNets on a 4-channel Sentinel-2 dataset for built-up area extraction.

  6. Learning from disaster: Community-based marine protected areas in Fiji

    OpenAIRE

    Yoshito Takasaki

    2013-01-01

    This paper empirically examines whether and how experiencing climate-related disasters can improve the rural poor fs adaptation to climate change through community-based resource management. Original household survey data in Fiji capture the unique sequence of a tropical cyclone and the establishment of community-based marine protected areas as a natural experiment. The analysis reveals that household disaster victimization increases its support for establishing marine protected areas for fut...

  7. Bazı Dondurma Karışımlarının Isıl İletkenliklerinin Sıcaklıkla Değişiminin Belirlenmesi

    Directory of Open Access Journals (Sweden)

    Seher Kumcuoğlu

    2015-02-01

    Full Text Available Bu çalışmada geleneksel ürünlerimizden olan ve modern bir işletmede sürekli sistemde üretilen Maraş usulü ve kaymaklı dondurma karışımlarının  -30 °C ile +30°C sıcaklık aralığındaki  ısıl iletkenlik değerleri çizgisel ısı kaynaklı prob yöntemi kullanılarak deneysel olarak belirlenmiştir. Kalibrasyon materyali olarak % 0.3 agar içeren saf su  kullanılmıştır. Optimum ölçüm koşulları; değişik elektriksel akım, işlem süreleri ve örnek boyutları kullanılarak tespit edilmiştir. Örneklerin donmuş durumlarındaki ısıl iletkenlik değerlerinin donmamış durumlarına ait ısıl iletkenlik değerlerinden daha yüksek olduğu belirlenmiştir.  Maraş usulü dondurma karışımının ısıl iletkenliği 25 °C’de 0.494 W/m.K, –30 °C’de 1.051 W/m.K; kaymaklı dondurma karışımının ısıl iletkenliği ise 25 °C’de 0.452 W/m.K, –30 °C’de 0.993 W/m.K  olarak ölçülmüştür. Örneklerin ısıl iletkenlik değerlerinin bileşim ve sıcaklıkla değişim gösterdiği saptanmıştır.

  8. Project-based learning methodology in the area of microbiology applied to undergraduate medical research.

    Science.gov (United States)

    Mateo, Estibaliz; Sevillano, Elena

    2018-07-01

    In the recent years, there has been a decrease in the number of medical professionals dedicated to a research career. There is evidence that students with a research experience during their training acquire knowledge and skills that increase the probability of getting involved in research more successfully. In the Degree of Medicine (University of the Basque Country) the annual core subject 'Research Project' introduces students to research. The aim of this work was to implement a project-based learning methodology, with the students working on microbiology, and to analyse its result along time. Given an initial scenario, the students had to come up with a research idea related to medical microbiology and to carry out a research project, including writing a funding proposal, developing the experimental assays and analyzing and presenting their results to a congress organized by the University. Summative assessment was performed by both students and teachers. A satisfaction survey was carried out to gather the students' opinion. The overall results regarding to the classroom dynamics, learning results and motivation after the implementation were favourable. Students referred a greater interest about research than they had before. They would choose the project based methodology versus the traditional one.

  9. Object-Based Change Detection in Urban Areas from High Spatial Resolution Images Based on Multiple Features and Ensemble Learning

    Directory of Open Access Journals (Sweden)

    Xin Wang

    2018-02-01

    Full Text Available To improve the accuracy of change detection in urban areas using bi-temporal high-resolution remote sensing images, a novel object-based change detection scheme combining multiple features and ensemble learning is proposed in this paper. Image segmentation is conducted to determine the objects in bi-temporal images separately. Subsequently, three kinds of object features, i.e., spectral, shape and texture, are extracted. Using the image differencing process, a difference image is generated and used as the input for nonlinear supervised classifiers, including k-nearest neighbor, support vector machine, extreme learning machine and random forest. Finally, the results of multiple classifiers are integrated using an ensemble rule called weighted voting to generate the final change detection result. Experimental results of two pairs of real high-resolution remote sensing datasets demonstrate that the proposed approach outperforms the traditional methods in terms of overall accuracy and generates change detection maps with a higher number of homogeneous regions in urban areas. Moreover, the influences of segmentation scale and the feature selection strategy on the change detection performance are also analyzed and discussed.

  10. Literacy for Real: Reading, Thinking, and Learning in the Content Areas. Language & Literacy Practitioners Bookshelf

    Science.gov (United States)

    Lent, ReLeah Cossett

    2009-01-01

    Written for the busy practitioner by an experienced professional development consultant, writer, and speaker, "Literacy for Real" is a hands-on guide to meaningful reading across the content areas of math, science, and social studies in grades 6-12. It presents key information that addresses all types of 21st century literacy--visual, digital, and…

  11. Profesionālā sociālā tīkla LinkedIn izmantojums Latvijā: darba devēju un darba ņēmēju lietošanas motivācijas analīze

    OpenAIRE

    Jaunzeme, Maija

    2013-01-01

    Bakalaura tēma ir „Profesionālā sociālā tīkla LinkedIn izmantojums Latvijā: darba devēju un darba ņēmēju lietošanas motivācijas analīze”. Darba mērķis ir noskaidrot darba ņēmēja un darba devēja motīvus sociālā tīkla LinkedIn izmantošanai. Problēmjautājums bija noskaidrot, kā tīkls maina lietošanas paradumus lietotājam, meklējot darba vietu vai darbinieku? Teorētiskajā daļā tika analizēta lietojuma un apmierinājuma teorija sociālajiem tīkliem un LinkedIn auditorijai. Ar aptaujas palīdzību t...

  12. Regulatory analysis and lessons learned from the LLRW [low-level radioactive waste] disposal area at West Valley, New York: Final report

    International Nuclear Information System (INIS)

    1986-12-01

    The New York State Energy Research and Development Authority has sponsored a project to develop an integrated set of site management plans for the West Valley low-level radioactive waste (LLRW) disposal area. The plans were directed to upgrade the disposal area so that passive custodial care and monitoring activities would be sufficient to protect public health and safety and the environment. Tasks 5 and 6, Regulatory Analysis and Lessons Learned, are the subject of this report. The regulatory analysis identified areas of inconsistencies between the historic site operations and the current state and federal LLRW disposal regulations and guidelines. The lessons learned task identified the causes of the disposal problems at West Valley, discussed the lessons learned, and described the responses developed by the NRC and industry to the lessons learned. 85 refs., 6 figs., 19 tabs

  13. Combining machine learning and ontological data handling for multi-source classification of nature conservation areas

    Science.gov (United States)

    Moran, Niklas; Nieland, Simon; Tintrup gen. Suntrup, Gregor; Kleinschmit, Birgit

    2017-02-01

    Manual field surveys for nature conservation management are expensive and time-consuming and could be supplemented and streamlined by using Remote Sensing (RS). RS is critical to meet requirements of existing laws such as the EU Habitats Directive (HabDir) and more importantly to meet future challenges. The full potential of RS has yet to be harnessed as different nomenclatures and procedures hinder interoperability, comparison and provenance. Therefore, automated tools are needed to use RS data to produce comparable, empirical data outputs that lend themselves to data discovery and provenance. These issues are addressed by a novel, semi-automatic ontology-based classification method that uses machine learning algorithms and Web Ontology Language (OWL) ontologies that yields traceable, interoperable and observation-based classification outputs. The method was tested on European Union Nature Information System (EUNIS) grasslands in Rheinland-Palatinate, Germany. The developed methodology is a first step in developing observation-based ontologies in the field of nature conservation. The tests show promising results for the determination of the grassland indicators wetness and alkalinity with an overall accuracy of 85% for alkalinity and 76% for wetness.

  14. Possibilities of utilizing blended-learning in the area of language education of medical staff

    Directory of Open Access Journals (Sweden)

    Radka Šulistová

    2014-11-01

    Full Text Available This contribution deals with the presentation of teaching materials created within the IMED-KOMM-EU "Intercultural medical communication inEurope" internet project, having taken place under the leadership of the Institute for Intercultural Communication inGermany(Ansbach,Berlin,Jena,Erfurt. Project target was creating, testing, valorisation and permanent extending of the mentioned teaching materials, testing and certification technologies (ECL for intercultural professional communication of foreign physicians and other medical staff. The target groups involving the already practising professionals, as well as students, should be able to utilize the existing possibilities of communication withinEuropeand to perform their professional activity or studies in the languages, in which the materials are elaborated. As a result, five complete courses of blended-learning were created, which are generally easily accessible at mutually connected web sites in Czech, Slovak, German, Bulgarian and Hungarian. Their core are modules orientated on practice with complex exercises online and offline focused on the medical communication, including the manuals for teachers.

  15. Automatic generation control of multi-area power systems with diverse energy sources using Teaching Learning Based Optimization algorithm

    Directory of Open Access Journals (Sweden)

    Rabindra Kumar Sahu

    2016-03-01

    Full Text Available This paper presents the design and analysis of Proportional-Integral-Double Derivative (PIDD controller for Automatic Generation Control (AGC of multi-area power systems with diverse energy sources using Teaching Learning Based Optimization (TLBO algorithm. At first, a two-area reheat thermal power system with appropriate Generation Rate Constraint (GRC is considered. The design problem is formulated as an optimization problem and TLBO is employed to optimize the parameters of the PIDD controller. The superiority of the proposed TLBO based PIDD controller has been demonstrated by comparing the results with recently published optimization technique such as hybrid Firefly Algorithm and Pattern Search (hFA-PS, Firefly Algorithm (FA, Bacteria Foraging Optimization Algorithm (BFOA, Genetic Algorithm (GA and conventional Ziegler Nichols (ZN for the same interconnected power system. Also, the proposed approach has been extended to two-area power system with diverse sources of generation like thermal, hydro, wind and diesel units. The system model includes boiler dynamics, GRC and Governor Dead Band (GDB non-linearity. It is observed from simulation results that the performance of the proposed approach provides better dynamic responses by comparing the results with recently published in the literature. Further, the study is extended to a three unequal-area thermal power system with different controllers in each area and the results are compared with published FA optimized PID controller for the same system under study. Finally, sensitivity analysis is performed by varying the system parameters and operating load conditions in the range of ±25% from their nominal values to test the robustness.

  16. Developing Critical Thinking of Middle School Students using Problem Based Learning 4 Core Areas (PBL4C) Model

    Science.gov (United States)

    Haridza, R.; E Irving, K.

    2017-02-01

    Traditional methods such as rote learning and memorization in teaching science create passive students in science classrooms. The impact of this continuous action for many decades is inactive learners who cannot develop higher order thinking skills. Based on the performance test, students’ critical thinking skill in Public Middle School 3 Pontianak was in low level although their achievement score were higher than school standards. The purpose of this study is to develop critical thinking skills of middle school students using Problem Based Learning 4 Core Areas (PBL4C). The design of this research is classroom action research with two cycles. Data has been collected using observation checklist, rating scale, self and peer assessment. Research findings reveal that students experience development from 11.11% to 88.45% in identifying the problem correctly, 37.03% to 76.92% for sub skills distinguish knowledge and opinion, 18.51% to 65.38% for sub skills providing possible solution, 22.22% to 69.23% for sub skills making decision, and 11.11% to 69.23% for sub skills identifying the impact of the implementation of their solution. In conclusion, the findings indicate that development of students’ critical thinking skills occurs when PBL4C model applied in science classroom. These findings suggest that teachers should act as facilitator in a classroom as well as should provide meaningful learning resources that can benefit students’ critical thinking skills. On the other hand, students should practice constantly to offer a sharp, accurate and appropriate solution.

  17. Excellent areas. Learning from energy efficient newly built houses. Halfway the knowledge and learning phase; Excellente gebieden. Leerschool voor energiezuinige nieuwbouw. Halverwege het kennis- en leertraject

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2013-07-15

    The so-called Excellent Areas concern 19 innovative newly built houses projects in the residential and utility sector. Houses and office buildings are constructed with at least an energy performance coefficient (EPC), 25% stricter than as described in the Dutch Building Code. This project is aimed at preparing for the Spring Agreement in which it is agreed to tighten the EPC in 2015 and to reach the nearly zero-energy ambition for 2020. Municipalities, project developers and other parties in the energy-efficient building business thus gain experience with innovative construction methods and techniques. And in particular in the search for innovation in the construction process and new forms of cooperation and financing. The knowledge and experiences are supported, shared and disseminated in the knowledge and learning process of Excellent Areas [Dutch] De Excellente Gebieden zijn 19 innovatieve nieuwbouwprojecten in de woning- en utiliteitsbouw. Hier worden woningen en kantoren gebouwd met tenminste een 25% scherpere energieprestatiecoefficient (EPC) dan het Bouwbesluit voorschrijft. Dit ter voorbereiding op de in het Lente-akkoord afgesproken aanscherping van de EPC in 2015 en de bijna energieneutrale ambitie voor 2020. Gemeenten, projectontwikkelaars en andere partijen die energiezuinig bouwen, doen uitgebreide praktijkervaring op met innovatieve bouwmethoden en technieken. En vooral ook met het zoeken naar innovatie in het bouwproces en nieuwe vormen van samenwerking en financiering. Deze kennis en ervaring wordt ondersteund, gedeeld en verspreid in het kennis- en leertraject Excellente Gebieden.

  18. Performance Evaluation of Machine Learning Methods for Leaf Area Index Retrieval from Time-Series MODIS Reflectance Data

    Science.gov (United States)

    Wang, Tongtong; Xiao, Zhiqiang; Liu, Zhigang

    2017-01-01

    Leaf area index (LAI) is an important biophysical parameter and the retrieval of LAI from remote sensing data is the only feasible method for generating LAI products at regional and global scales. However, most LAI retrieval methods use satellite observations at a specific time to retrieve LAI. Because of the impacts of clouds and aerosols, the LAI products generated by these methods are spatially incomplete and temporally discontinuous, and thus they cannot meet the needs of practical applications. To generate high-quality LAI products, four machine learning algorithms, including back-propagation neutral network (BPNN), radial basis function networks (RBFNs), general regression neutral networks (GRNNs), and multi-output support vector regression (MSVR) are proposed to retrieve LAI from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data in this study and performance of these machine learning algorithms is evaluated. The results demonstrated that GRNNs, RBFNs, and MSVR exhibited low sensitivity to training sample size, whereas BPNN had high sensitivity. The four algorithms performed slightly better with red, near infrared (NIR), and short wave infrared (SWIR) bands than red and NIR bands, and the results were significantly better than those obtained using single band reflectance data (red or NIR). Regardless of band composition, GRNNs performed better than the other three methods. Among the four algorithms, BPNN required the least training time, whereas MSVR needed the most for any sample size. PMID:28045443

  19. Learning from the energetic rural area. Background report; Leren van het energieke platteland. Achtergrondrapport

    Energy Technology Data Exchange (ETDEWEB)

    Arnouts, R.; Van den Born, G. J.; Daalhuizen, F.; Farjon, H.; Pols, L.; Tekelenburg, T.; Tisma, S.; Van Veen, M. [Planbureau voor de Leefomgeving PBL, Den Haag (Netherlands); Gerritsen, A.; Verburg, R. [Wageningen UR, Wageningen (Netherlands); Wiering, M. [Radboud Universiteit Nijmegen, Nijmegen (Netherlands); Roovers, G. [Oranjewoud, Heerenveen (Netherlands)

    2013-06-15

    Citizens and businesses start on a regular basis, and in cooperation with the Dutch government, initiatives to improve the living environment in rural areas. In this study, 32 examples are discussed to detect issues that can be improved. The examples concern more or less successful partnerships for sustainable rural development, in which the market, citizens and civil society play a prominent role. Four issues for improvement are identified: (1) Other accents are required in laws and regulations for the living environment; (2) The Dutch government must give smart directions by means of levies and incentives; (3) A vision of the governments is essential; and (4) Towards a proactive, facilitating government [Dutch] Burgers en bedrijven nemen regelmatig samen met overheden initiatieven om de leefomgeving op het platteland te verbeteren. In deze studie zijn 32 praktijkvoorbeelden onder de loep genomen om die verbeterpunten op te sporen. Het gaat om meer of minder succesvolle samenwerkingsverbanden voor duurzame plattelandsontwikkeling, waarin marktpartijen, burgers en het maatschappelijk middenveld een vooraanstaande rol spelen. Hierbij worden vier verbeterpunten gesignaleerd: (1) Andere accenten gewenst in wet- en regelgeving voor de leefomgeving; (2) Slimmer sturen met heffingen en vergoedingen door de overheid; (3) Visie van overheden is onontbeerlijk; en (4) Naar een proactieve, faciliterende overheid.

  20. Learning transfer of geospatial technologies in secondary science and mathematics core areas

    Science.gov (United States)

    Nielsen, Curtis P.

    The purpose of this study was to investigate the transfer of geospatial technology knowledge and skill presented in a social sciences course context to other core areas of the curriculum. Specifically, this study explored the transfer of geospatial technology knowledge and skill to the STEM-related core areas of science and mathematics among ninth-grade students. Haskell's (2001) research on "levels of transfer" provided the theoretical framework for this study, which sought to demonstrate the experimental group's higher ability to transfer geospatial skills, higher mean assignment scores, higher post-test scores, higher geospatial skill application and deeper levels of transfer application than the control group. The participants of the study consisted of thirty ninth-graders enrolled in U.S. History, Earth Science and Integrated Mathematics 1 courses. The primary investigator of this study had no previous classroom experiences with this group of students. The participants who were enrolled in the school's existing two-section class configuration were assigned to experimental and control groups. The experimental group had ready access to Macintosh MacBook laptop computers, and the control group had ready access to Macintosh iPads. All participants in U.S. History received instruction with and were required to use ArcGIS Explorer Online during a Westward Expansion project. All participants were given the ArcGIS Explorer Online content assessment following the completion of the U.S. History project. Once the project in U.S. History was completed, Earth Science and Integrated Mathematics 1 began units of instruction beginning with a multiple-choice content pre-test created by the classroom teachers. Experimental participants received the same unit of instruction without the use or influence of ArcGIS Explorer Online. At the end of the Earth Science and Integrated Math 1 units, the same multiple-choice test was administered as the content post-test. Following the

  1. First year undergraduate nursing students and nursing mentors: An evaluation of their experience of specialist areas as their hub practice learning environment.

    Science.gov (United States)

    McCallum, Jacqueline; Lamont, David; Kerr, Emma-Louise

    2016-01-01

    Specialist environments have traditionally not been considered as practice learning environments for year one nursing students. Through implementation of the hub and spoke model of practice learning this was implemented across one health board and Higher Education Institution in Scotland. Sixty nine students from specialist and 147 from general areas out of a total population of 467 students (46.2%) and thirteen mentors from specialist and 26 from general areas out of a total 577 mentors (6.7%) completed a questionnaire. The findings support this initiative and suggest in some cases student experiences are more positive in specialist environments. Copyright © 2015 Elsevier Ltd. All rights reserved.

  2. A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

    KAUST Repository

    McCabe, Matthew

    2017-12-06

    With an increasing volume and dimensionality of Earth observation data, enhanced integration of machine-learning methodologies is needed to effectively analyze and utilize these information rich datasets. In machine-learning, a training dataset is required to establish explicit associations between a suite of explanatory ‘predictor’ variables and the target property. The specifics of this learning process can significantly influence model validity and portability, with a higher generalization level expected with an increasing number of observable conditions being reflected in the training dataset. Here we propose a hybrid training approach for leaf area index (LAI) estimation, which harnesses synergistic attributes of scattered in-situ measurements and systematically distributed physically based model inversion results to enhance the information content and spatial representativeness of the training data. To do this, a complimentary training dataset of independent LAI was derived from a regularized model inversion of RapidEye surface reflectances and subsequently used to guide the development of LAI regression models via Cubist and random forests (RF) decision tree methods. The application of the hybrid training approach to a broad set of Landsat 8 vegetation index (VI) predictor variables resulted in significantly improved LAI prediction accuracies and spatial consistencies, relative to results relying on in-situ measurements alone for model training. In comparing the prediction capacity and portability of the two machine-learning algorithms, a pair of relatively simple multi-variate regression models established by Cubist performed best, with an overall relative mean absolute deviation (rMAD) of ∼11%, determined based on a stringent scene-specific cross-validation approach. In comparison, the portability of RF regression models was less effective (i.e., an overall rMAD of ∼15%), which was attributed partly to model saturation at high LAI in association

  3. A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

    KAUST Repository

    McCabe, Matthew; McCabe, Matthew

    2017-01-01

    With an increasing volume and dimensionality of Earth observation data, enhanced integration of machine-learning methodologies is needed to effectively analyze and utilize these information rich datasets. In machine-learning, a training dataset is required to establish explicit associations between a suite of explanatory ‘predictor’ variables and the target property. The specifics of this learning process can significantly influence model validity and portability, with a higher generalization level expected with an increasing number of observable conditions being reflected in the training dataset. Here we propose a hybrid training approach for leaf area index (LAI) estimation, which harnesses synergistic attributes of scattered in-situ measurements and systematically distributed physically based model inversion results to enhance the information content and spatial representativeness of the training data. To do this, a complimentary training dataset of independent LAI was derived from a regularized model inversion of RapidEye surface reflectances and subsequently used to guide the development of LAI regression models via Cubist and random forests (RF) decision tree methods. The application of the hybrid training approach to a broad set of Landsat 8 vegetation index (VI) predictor variables resulted in significantly improved LAI prediction accuracies and spatial consistencies, relative to results relying on in-situ measurements alone for model training. In comparing the prediction capacity and portability of the two machine-learning algorithms, a pair of relatively simple multi-variate regression models established by Cubist performed best, with an overall relative mean absolute deviation (rMAD) of ∼11%, determined based on a stringent scene-specific cross-validation approach. In comparison, the portability of RF regression models was less effective (i.e., an overall rMAD of ∼15%), which was attributed partly to model saturation at high LAI in association

  4. A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

    Science.gov (United States)

    Houborg, Rasmus; McCabe, Matthew F.

    2018-01-01

    With an increasing volume and dimensionality of Earth observation data, enhanced integration of machine-learning methodologies is needed to effectively analyze and utilize these information rich datasets. In machine-learning, a training dataset is required to establish explicit associations between a suite of explanatory 'predictor' variables and the target property. The specifics of this learning process can significantly influence model validity and portability, with a higher generalization level expected with an increasing number of observable conditions being reflected in the training dataset. Here we propose a hybrid training approach for leaf area index (LAI) estimation, which harnesses synergistic attributes of scattered in-situ measurements and systematically distributed physically based model inversion results to enhance the information content and spatial representativeness of the training data. To do this, a complimentary training dataset of independent LAI was derived from a regularized model inversion of RapidEye surface reflectances and subsequently used to guide the development of LAI regression models via Cubist and random forests (RF) decision tree methods. The application of the hybrid training approach to a broad set of Landsat 8 vegetation index (VI) predictor variables resulted in significantly improved LAI prediction accuracies and spatial consistencies, relative to results relying on in-situ measurements alone for model training. In comparing the prediction capacity and portability of the two machine-learning algorithms, a pair of relatively simple multi-variate regression models established by Cubist performed best, with an overall relative mean absolute deviation (rMAD) of ∼11%, determined based on a stringent scene-specific cross-validation approach. In comparison, the portability of RF regression models was less effective (i.e., an overall rMAD of ∼15%), which was attributed partly to model saturation at high LAI in association with

  5. Interactions between radiation and amphetamine in taste aversion learning and the role of the area postrema in amphetamine-induced conditioned taste aversions

    International Nuclear Information System (INIS)

    Rabin, B.M.; Hunt, W.A.; Lee, J.

    1987-01-01

    Three experiments were run to assess the role of the area postrema in taste aversion learning resulting from combined treatment with subthreshold unconditioned stimuli and in the acquisition of an amphetamine-induced taste aversion. In the first experiment, it was shown that combined treatment with subthreshold radiation (15 rad) and subthreshold amphetamine (0.5 mg/kg, IP) resulted in the acquisition of a taste aversion. The second experiment showed that lesions of the area postrema blocked taste aversion learning produced by two subthreshold doses of amphetamine. In the third experiment, which looked at the dose-response curve for amphetamine-induced taste aversion learning in intact rats and rats with area postrema lesions, it was shown that both groups of rats acquired taste aversions following injection of amphetamine, although the rats with lesions showed a less severe aversion than the intact rats. The results are interpreted as indicating that amphetamine-induced taste aversion learning may involve area postrema-mediated mechanisms, particularly at the lower doses, but that an intact area postrema is not a necessary condition for the acquisition of an amphetamine-induced taste aversion

  6. Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping

    Directory of Open Access Journals (Sweden)

    Jennifer N. Hird

    2017-12-01

    Full Text Available Modern advances in cloud computing and machine-leaning algorithms are shifting the manner in which Earth-observation (EO data are used for environmental monitoring, particularly as we settle into the era of free, open-access satellite data streams. Wetland delineation represents a particularly worthy application of this emerging research trend, since wetlands are an ecologically important yet chronically under-represented component of contemporary mapping and monitoring programs, particularly at the regional and national levels. Exploiting Google Earth Engine and R Statistical software, we developed a workflow for predicting the probability of wetland occurrence using a boosted regression tree machine-learning framework applied to digital topographic and EO data. Working in a 13,700 km2 study area in northern Alberta, our best models produced excellent results, with AUC (area under the receiver-operator characteristic curve values of 0.898 and explained-deviance values of 0.708. Our results demonstrate the central role of high-quality topographic variables for modeling wetland distribution at regional scales. Including optical and/or radar variables into the workflow substantially improved model performance, though optical data performed slightly better. Converting our wetland probability-of-occurrence model into a binary Wet-Dry classification yielded an overall accuracy of 85%, which is virtually identical to that derived from the Alberta Merged Wetland Inventory (AMWI: the contemporary inventory used by the Government of Alberta. However, our workflow contains several key advantages over that used to produce the AMWI, and provides a scalable foundation for province-wide monitoring initiatives.

  7. The Effects of the Concrete-Representational-Abstract Integration Strategy on the Ability of Students with Learning Disabilities to Multiply Linear Expressions within Area Problems

    Science.gov (United States)

    Strickland, Tricia K.; Maccini, Paula

    2013-01-01

    We examined the effects of the Concrete-Representational-Abstract Integration strategy on the ability of secondary students with learning disabilities to multiply linear algebraic expressions embedded within contextualized area problems. A multiple-probe design across three participants was used. Results indicated that the integration of the…

  8. Fos Protein Expression in Olfactory-Related Brain Areas after Learning and after Reactivation of a Slowly Acquired Olfactory Discrimination Task in the Rat

    Science.gov (United States)

    Roullet, Florence; Lienard, Fabienne; Datiche, Frederique; Cattarelli, Martine

    2005-01-01

    Fos protein immunodetection was used to investigate the neuronal activation elicited in some olfactory-related areas after either learning of an olfactory discrimination task or its reactivation 10 d later. Trained rats (T) progressively acquired the association between one odor of a pair and water-reward in a four-arm maze. Two groups of…

  9. Differentiation of Teaching Learning Process in the area of ​​Exact Sciences in IPUEC of the province of Pinar del Río

    Directory of Open Access Journals (Sweden)

    Carlos Manuel Caraballo Carmona

    2004-06-01

    Full Text Available This article presents some hints About the historical development of the differentiation of the Teaching Learning Process in the area of Exact Sciences knowledge in Pinar del Rio provincie IPUECs, and it Permits the observation of the evolution of the problem, ITS Successes and errors in the strategies Followed.

  10. Çevre Korunmasında Atığın Atıkla Giderilmesi Prensibi / Principle Of Removal With Waste Of Waste In Environmental Protection

    Directory of Open Access Journals (Sweden)

    Utkan Özdemir

    2012-12-01

    Full Text Available Çevresel problemler göz önüne alındığında, katı atıkların bertarafı birçok dünya ülkesinin temel problemlerinden birisidir. Bu doğrultuda farklı kaynaklarda oluşan ve büyük ölçüde çeşitlilik gösteren katı atıkların bir kısmının tekrar kullanımı hedeflenmektedir. Böylece ekonomik fayda sağlanmaya çalışılmaktadır. Katı atıkların yarattığı çevre kirliliğine, su kaynaklarında meydana gelen ekolojik problemlerin de eklenmesi insanlık için daha büyük risklerin habercisidir. Dolayısıyla katı atıkların bertarafında önemli yeri olan tekrar kullanımın, sadece ekonomik faydası değil, “atığın atıkla giderim” esasına katkısı da tartışılmaya başlanmıştır. Tüketim hızının giderek arttığı dünyada, özellikle tarımsal kökenli atıkların, su arıtımında adsorbent olarak kullanılmasıyla yüksek arıtma verimleri sağlandığı gözlemlenmiştir. Bu durumu takip eden çeşitli araştırmalar, muz kabuğu, ayçiçeği sapı, pirinç kabuğu, portakal kabuğu gibi tarımsal kökenli atıkların yanı sıra kül ve arıtma çamuru gibi atıkların da organik ve inorganik bir takım kirleticilerin su ortamından arıtılmasında önemli rol oynadıklarını göstermiştir. Böylece adsorbent maliyeti nedeniyle çoğu zaman işletmeler tarafından uygun görülmeyen ve pilot ölçekli çalışma olarak kalan adsorpsiyon prosesinin kullanılabilirliğinin arttırılması şansı doğmuştur. Adsorpsiyon proseslerinin yaygınlaştırılması ile atıksu arıtımında elde edilebilecek yüksek verimlerin yanı sıra bu proseslerde adsorbent olarak kullanılan atıkların bertarafı da sağlanmış olacaktır. Aynı zamanda bu durum atıkların başka proseslerde de benzer şekilde değerlendirilmelerinin önünü açmaktadır. Bu çalışmada özellikle endüstriyel bazda kullanımlarında ekonomik ve çevresel faydalar sağlayacak atık kökenli adsorbentlerin türleri ve

  11. Learning and Behavior

    Science.gov (United States)

    ... List About PPMD Events News Login By Area Learning & Behavior Attention, Listening & Learning Autism Spectrum Disorder (ASD) ... Care Guidelines ❯ By AreaLearning & Behavior Share Print Learning & Behavior Facts to Remember People with Duchenne may ...

  12. Effects of dose and of partial body ionizing radiation on taste aversion learning in rats with lesions of the area postrema

    International Nuclear Information System (INIS)

    Rabin, B.M.; Hunt, W.A.; Lee, J.

    1984-01-01

    The effect of area postrema lesions on the acquisition of a conditioned taste aversion following partial body exposure to ionizing radiation was investigated in rats exposed to head-only irradiation at 100, 200 and 300 rad or to body-only irradiation at 100 and 200 rad. Following head-only irradiation area postrema lesions produced a significant attenuation of the radiation-induced taste aversion at all dose levels, although the rats still showed a significant reduction in sucrose preference. Following body-only exposure, area postrema lesions completely disrupted the acquisition of the conditioned taste aversion. The results are interpreted as indicating that: (a) the acquisition of a conditioned taste aversion following body-only exposure is mediated by the area postrema; and (b) taste aversion learning following radiation exposure to the head-only is mediated by both the area postrema and a mechanism which is independent of the area postrema

  13. Guidelines of the Development and the Supporting Learning Resources by the Community Participatory of Case Study for the Schools Under Secondary Education Service Area Office 24

    Directory of Open Access Journals (Sweden)

    Wisan Payungwong

    2017-06-01

    Full Text Available This research aimed 1 to study the components of guidelines of the development and the supporting learning resources by the community participatory of case study for the schools under Secondary Education Service Area Office 24 and 2 to investigate guidelines of guidelines of the development and the supporting learning resources by the community participatory of case study for the schools under Secondary Education Service Area Office 24. This research was conducted into two phases. The first phase was investigated the components and indicators of guidelines of the development and the supporting learning resources by the community participatory of case study for the schools under Secondary Education Service Area Office 24. The samples group were five respondents to provide the information by an assessment form. The second phase was conducted to find out the guidelines of development and supporting learning resources by community participatory of case study which included four steps. The first step was the focus group of case study schools with best practice. The samples were fourteen key informants from 2 schools. There were school directors, deputy director of academic administration, head of learning, village leaders, wisdom villagers and religious leaders. The data were collected by using focus group discussion form. The second step was draft the develop management guideline of academic administration. The sample group were 7 professionals. The data were collected by using the evaluation from of propriety/feasibility/utility of the develop management guideline of academic administration. The data were analyzed in average ( and standard deviation (S.D.. The third step was group discussion for evaluated the applying of the develop management guideline of academic administration. The samples group were 14 key informants from 2 schools. There were school directors, deputy director of academic administration, head of learning, village leaders

  14. Enabling Real-Time Video Services over Ad-Hoc Networks Opens the Gates for E-learning in Areas Lacking Infrastructure

    Directory of Open Access Journals (Sweden)

    Johannes Karlsson

    2009-10-01

    Full Text Available In this paper we suggest a promising solution to come over the problems of delivering e-learning to areas with lack or deficiencies in infrastructure for Internet and mobile communication. We present a simple, reasonably priced and efficient communication platform for providing e-learning. This platform is based on wireless ad-hoc networks. We also present a preemptive routing protocol suitable for real-time video communication over wireless ad-hoc networks. Our results show that this routing protocol can significantly improve the quality of the received video. This makes our suggested system not only good to overcome the infrastructure barrier but even capable of delivering a high quality e-learning material.

  15. Learning

    Directory of Open Access Journals (Sweden)

    Mohsen Laabidi

    2014-01-01

    Full Text Available Nowadays learning technologies transformed educational systems with impressive progress of Information and Communication Technologies (ICT. Furthermore, when these technologies are available, affordable and accessible, they represent more than a transformation for people with disabilities. They represent real opportunities with access to an inclusive education and help to overcome the obstacles they met in classical educational systems. In this paper, we will cover basic concepts of e-accessibility, universal design and assistive technologies, with a special focus on accessible e-learning systems. Then, we will present recent research works conducted in our research Laboratory LaTICE toward the development of an accessible online learning environment for persons with disabilities from the design and specification step to the implementation. We will present, in particular, the accessible version “MoodleAcc+” of the well known e-learning platform Moodle as well as new elaborated generic models and a range of tools for authoring and evaluating accessible educational content.

  16. Digital Learning Aids for Nynorsk Pupils in School: - A Politically Sensitive Area or a Question of a Deeper Scientific Understanding of Learning?

    Directory of Open Access Journals (Sweden)

    Rune Johan Krumsvik

    2015-11-01

    Full Text Available This position paper focuses on Nynorsk in the digital era and the need for research-based knowledge about it in school settings in Norway. The Norwegian language situation is exceptional because Norway has two written standards, Bokmål (majority variety and Nynorsk (minority variety, and both the Education Act and the Norwegian Directorate of Education require that publishers provide parallel editions of all paper-based and digital learning aids for pupils. However, a national report by Skjær,Eiksund, Fretland, Holen & Netteland(2008 revealed that few publishers have developed and offered digital learning aids in Nynorsk. In 2015 the situation appears to be largely unchanged, even though the authorities, language organisations and “leadings lights” have taken several initiatives to encourage compliance with the Education Act; however, what is needed is further research into the situation of parallel editions of digital learning aids. This is of particular interest today since the pupils in the county with the highest rate (97% of Nynorsk-pupils has consistently been at the top of the list as one of the best performing counties in Norway in national tests since 2006 (Directorate of Education 2015. In addition, Vangsnes, Söderlund & Blekesaune (2015 find that municipalities in Norway with more than 50% Nynorsk-pupils achieve better in National tests when compared to Bokmål municipalities. The main message in our position paper is that the digital revolution might have changed some underlying premises for how we understand and use language and dialects, and the need for parallel editions of digital learning aids in Bokmål and Nynorsk is no longer a question of economics or of political statements for or against Nynorsk, etc., but is instead a question of a more nuanced scientific understanding of learning and achievement in today’s digitized school. The achievements of Nynorsk pupils in national tests is one indicator of school

  17. The emerging role of corporate information systems: An example from the area of business process-oriented learning

    Directory of Open Access Journals (Sweden)

    Stergioulas, L.K.

    2008-01-01

    Full Text Available Emerging business requirements, stemming from a holistic view over an organisation’s activities, place additional pressure on technical infrastructures and call for operational agility and a better alignment between business and technology. Business process oriented learning unites corporate training and business process management. Given the importance of an organisation’s human capital to business success, aligning individual training with business priorities, becomes a key challenge. The implementation of this new business service entails integrating learning into daily working tasks and putting in place mechanisms for the effective management of business processes, organisational roles, competencies and learning processes, to reduce the time to fill competency gaps and to build proficiency according to evolving business needs. In this paper we outline the main characteristics of this approach and provide insights regarding the changing role of the involved corporate information systems and the multiple aspects of the integration work.

  18. Probing High School Students' Cognitive Structures and Key Areas of Learning Difficulties on Ethanoic Acid Using the Flow Map Method

    Science.gov (United States)

    Zhou, Qing; Wang, Tingting; Zheng, Qi

    2015-01-01

    The purpose of this study was primarily to explore high school students' cognitive structures and to identify their learning difficulties on ethanoic acid through the flow map method. The subjects of this study were 30 grade 1 students from Dong Yuan Road Senior High School in Xi'an, China. The interviews were conducted a week after the students…

  19. Subjectivity in Education and Health: Research Notes on School Learning Area and Physical Education in Mental Health

    Science.gov (United States)

    Bezerra, Marilia; da Costa, Jonatas Maia

    2016-01-01

    This paper presents the results of two studies researching the theory of subjectivity from a cultural-historical perspective. The studies are situated in the fields of education and health and are conducted using Qualitative Epistemology. The first study discusses the pathological movement problems of learning disabilities in Brazilian schools and…

  20. Educational Inequality and Juvenile Crime: An Area Based Analysis [Wider Benefits of Learning Research Report No. 26

    OpenAIRE

    Sabates, Ricardo; Feinstein, Leon; Shingal, Anirudh

    2008-01-01

    This study considers the influence of one form of relative deprivation on crime, namely educational inequality. This is examined through an area-based analysis of the relationship between juvenile conviction rates for a range of offences and educational inequality based on maths Key Stage 3 scores in English local education authorities (LEAs). Using aggregate area-level information from three cohorts of young people (born between 1983 and 1985) within each area, and controlling for other vari...

  1. Blended learning

    DEFF Research Database (Denmark)

    Dau, Susanne

    2016-01-01

    Blended Learning has been implemented, evaluated and researched for the last decades within different educational areas and levels. Blended learning has been coupled with different epistemological understandings and learning theories, but the fundamental character and dimensions of learning...... in blended learning are still insufficient. Moreover, blended learning is a misleading concept described as learning, despite the fact that it fundamentally is an instructional and didactic approach (Oliver & Trigwell, 2005) addressing the learning environment (Inglis, Palipoana, Trenhom & Ward, 2011......) instead of the learning processes behind. Much of the existing research within the field seems to miss this perspective. The consequence is a lack of acknowledgement of the driven forces behind the context and the instructional design limiting the knowledge foundation of learning in blended learning. Thus...

  2. A sensorimotor area in the songbird brain is required for production of vocalizations in the song learning period of development.

    Science.gov (United States)

    Piristine, Hande C; Choetso, Tenzin; Gobes, Sharon M H

    2016-11-01

    Sensory feedback is essential for acquiring and maintaining complex motor behaviors, including birdsong. In zebra finches, auditory feedback reaches the song control circuits primarily through the nucleus interfacialis nidopalii (Nif), which provides excitatory input to HVC (proper name)-a premotor region essential for the production of learned vocalizations. Despite being one of the major inputs to the song control pathway, the role of Nif in generating vocalizations is not well understood. To address this, we transiently inactivated Nif in late juvenile zebra finches. Upon Nif inactivation (in both hemispheres or on one side only), birds went from singing stereotyped zebra finch song to uttering highly variable and unstructured vocalizations resembling sub-song, an early juvenile song form driven by a basal ganglia circuit. Simultaneously inactivating Nif and LMAN (lateral magnocellular nucleus of the anterior nidopallium), the output nucleus of a basal ganglia circuit, inhibited song production altogether. These results suggest that Nif is required for generating the premotor drive for song. Permanent Nif lesions, in contrast, have only transient effects on vocal production, with song recovering within a day. The sensorimotor nucleus Nif thus produces a premotor drive to the motor pathway that is acutely required for generating learned vocalizations, but once permanently removed, the song system can compensate for its absence. © 2016 Wiley Periodicals, Inc. Develop Neurobiol 76: 1213-1225, 2016. © 2016 Wiley Periodicals, Inc.

  3. [Potential of cooperative learning in project development : Relevance of cooperative participation procedure for the further development of generation-appropriate accomodation in structurally weak rural areas].

    Science.gov (United States)

    Kaufmann, Gerd; Frankenberg, Olga; Sommer, Ralf-Rüdiger; Jost, Annemarie

    2017-04-01

    A joint initiative of existing senior care organizations, the municipality of Meyenburg and the state of Brandenburg was further developed by affiliation of an institute of the Brandenburg University of Technology Cottbus-Senftenberg (ABV) in cooperation with members of the architecture and social work departments in 2014. A cooperative process between different players was central to create an appropriate structure of services for this region. Cooperative projects are necessary to establish new forms of generation-appropriate living and care concepts in rural areas. Cooperative learning methods are needed to develop new forms of generation-appropriate living and care concepts in rural areas, which take the diversity of elderly people, the rural context, intergenerational residential arrangements and affordable accommodation that meets the requirements of the social security system into account. Furthermore, the project had to reflect the recent developments of the German care insurance. The article describes the participatory methods, the coordination process and the resulting concept.

  4. Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood

    Directory of Open Access Journals (Sweden)

    Gareth Ireland

    2015-03-01

    Full Text Available This study explored the capability of Support Vector Machines (SVMs and regularised kernel Fisher’s discriminant analysis (rkFDA machine learning supervised classifiers in extracting flooded area from optical Landsat TM imagery. The ability of both techniques was evaluated using a case study of a riverine flood event in 2010 in a heterogeneous Mediterranean region, for which TM imagery acquired shortly after the flood event was available. For the two classifiers, both linear and non-linear (kernel versions were utilised in their implementation. The ability of the different classifiers to map the flooded area extent was assessed on the basis of classification accuracy assessment metrics. Results showed that rkFDA outperformed SVMs in terms of accurate flooded pixels detection, also producing fewer missed detections of the flooded area. Yet, SVMs showed less false flooded area detections. Overall, the non-linear rkFDA classification method was the more accurate of the two techniques (OA = 96.23%, K = 0.877. Both methods outperformed the standard Normalized Difference Water Index (NDWI thresholding (OA = 94.63, K = 0.818 by roughly 0.06 K points. Although overall accuracy results for the rkFDA and SVMs classifications only showed a somewhat minor improvement on the overall accuracy exhibited by the NDWI thresholding, notably both classifiers considerably outperformed the thresholding algorithm in other specific accuracy measures (e.g. producer accuracy for the “not flooded” class was ~10.5% less accurate for the NDWI thresholding algorithm in comparison to the classifiers, and average per-class accuracy was ~5% less accurate than the machine learning models. This study provides evidence of the successful application of supervised machine learning for classifying flooded areas in Landsat imagery, where few studies so far exist in this direction. Considering that Landsat data is open access and has global coverage, the results of this study

  5. Learning from eponyms: Jose Verocay and Verocay bodies, Antoni A and B areas, Nils Antoni and Schwannomas

    Directory of Open Access Journals (Sweden)

    Rajiv Joshi

    2012-01-01

    Full Text Available Schwannomas are benign peripheral nerve sheath neoplasms composed almost entirely of Schwann cells and are diagnosed histopathologically by the presence of singular architectural patterns called Antoni A and Antoni B areas. These were described first in 1920 by the Swedish neurologist Nils Antoni. The Antoni A tissue is highly cellular and made up of palisades of Schwann cell nuclei, a pattern first described in 1910 by the Uruguayan neuro-pathologist Jose Verocay and are known as Verocay bodies. This article describes the structure and appearance of Verocay bodies and Antoni A and B areas with a brief biographical introduction of the men who described these patterns.

  6. An Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources

    Directory of Open Access Journals (Sweden)

    H. Shayeghi

    2017-12-01

    Full Text Available This paper presents an online two-stage Q-learning based multi-agent (MA controller for load frequency control (LFC in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs. The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO algorithm and are fixed. The second one is a reinforcement learning (RL based supplementary controller that has a flexible structure and improves the output of the first stage adaptively based on the system dynamical behavior. Due to the use of RL paradigm integrated with PID controller in this strategy, it is called RL-PID controller. The primary motivation for the integration of RL technique with PID controller is to make the existing local controllers in the industry compatible to reduce the control efforts and system costs. This novel control strategy combines the advantages of the PID controller with adaptive behavior of MA to achieve the desired level of robust performance under different kind of uncertainties caused by stochastically power generation of DERs, plant operational condition changes, and physical nonlinearities of the system. The suggested decentralized controller is composed of the autonomous intelligent agents, who learn the optimal control policy from interaction with the system. These agents update their knowledge about the system dynamics continuously to achieve a good frequency oscillation damping under various severe disturbances without any knowledge of them. It leads to an adaptive control structure to solve LFC problem in the multi-source power system with stochastic DERs. The results of RL-PID controller in comparison to the traditional PID and fuzzy-PID controllers is verified in a multi-area power system integrated with DERs through some performance indices.

  7. Learning to (Dis)Engage? The Socialising Experiences of Young People Living in Areas of Socio-Economic Disadvantage

    Science.gov (United States)

    Mason, Carolynne; Cremin, Hilary; Warwick, Paul; Harrison, Tom

    2011-01-01

    Young people are increasingly required to demonstrate civic engagement in their communities and help deliver the aspirations of localism and Big Society. Using an ecological systems approach this paper explores the experiences of different groups of young people living in areas of socio-economic disadvantage. Using volunteering as an example of…

  8. Educational area for learning of optics and technologies: union of open laboratories of ideas, methods and practices (OLIMP)

    Science.gov (United States)

    Ivashchenko, Maksim; Bodrov, Kirill; Tolstoba, Nadezhda

    2016-09-01

    The paper deals with the concept of creating the union of Open Laboratories of Ideas, Methods and Practices (OLIMP). It describes the structure designed to simplify the relationship, such as business incubators, start-up accelerators, small innovative enterprises, fabrication laboratories and student centers. We consider their advantages and disadvantages for the specific audience of students and enthusiasts who do not have funding for their own projects. The experience of interaction between the Open Laboratories of Ideas, Methods and Practices and the Student Research Laboratory for Optical Engineering shows the relative impact of structures on each other and the value of using such interaction in the learning process. The paper also addresses issues such as: the motivation of students, enthusiasm for the direction the lab participants identify and maintain the initiatives, profiling in the design, scientific, commercial, social sphere.

  9. Mapping Urban Areas with Integration of DMSP/OLS Nighttime Light and MODIS Data Using Machine Learning Techniques

    Directory of Open Access Journals (Sweden)

    Wenlong Jing

    2015-09-01

    Full Text Available Mapping urban areas at global and regional scales is an urgent and crucial task for detecting urbanization and human activities throughout the world and is useful for discerning the influence of urban expansion upon the ecosystem and the surrounding environment. DMSP-OLS stable nighttime lights have provided an effective way to monitor human activities on a global scale. Threshold-based algorithms have been widely used for extracting urban areas and estimating urban expansion, but the accuracy can decrease because of the empirical and subjective selection of threshold values. This paper proposes an approach for extracting urban areas with the integration of DMSP-OLS stable nighttime lights and MODIS data utilizing training sample datasets selected from DMSP-OLS and MODIS NDVI based on several simple strategies. Four classification algorithms were implemented for comparison: the classification and regression tree (CART, k-nearest-neighbors (k-NN, support vector machine (SVM, and random forests (RF. A case study was carried out on the eastern part of China, covering 99 cities and 1,027,700 km2. The classification results were validated using an independent land cover dataset, and then compared with an existing contextual classification method. The results showed that the new method can achieve results with comparable accuracies, and is easier to implement and less sensitive to the initial thresholds than the contextual method. Among the four classifiers implemented, RF achieved the most stable results and the highest average Kappa. Meanwhile CART produced highly overestimated results compared to the other three classifiers. Although k-NN and SVM tended to produce similar accuracy, less-bright areas around the urban cores seemed to be ignored when using SVM, which led to the underestimation of urban areas. Furthermore, quantity assessment showed that the results produced by k-NN, SVM, and RFs exhibited better agreement in larger cities and low

  10. Learning from tradition. Construction techniques and repair of historical buildings in the area of Brescia: some examples

    Directory of Open Access Journals (Sweden)

    Barbara Scala

    2016-06-01

    The essay focuses on the area of Brescia where, in spite of significant transformations over time of buildings and territory, many examples of traditional architecture still exist. The aim of the paper is also to suggest, by presenting some case studies, a strategy for conservation which proposes a dialogue between traditional methods, technological innovations and economic sustainability of interventions. Keywords: Traditional architecture, Brescia, Sustainability, Construction techniques, Protection

  11. Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons

    Directory of Open Access Journals (Sweden)

    Chengxu Zhuang

    2017-10-01

    Full Text Available Visual information in the visual cortex is processed in a hierarchical manner. Recent studies show that higher visual areas, such as V2, V3, and V4, respond more vigorously to images with naturalistic higher-order statistics than to images lacking them. This property is a functional signature of higher areas, as it is much weaker or even absent in the primary visual cortex (V1. However, the mechanism underlying this signature remains elusive. We studied this problem using computational models. In several typical hierarchical visual models including the AlexNet, VggNet, and SHMAX, this signature was found to be prominent in higher layers but much weaker in lower layers. By changing both the model structure and experimental settings, we found that the signature strongly correlated with sparse firing of units in higher layers but not with any other factors, including model structure, training algorithm (supervised or unsupervised, receptive field size, and property of training stimuli. The results suggest an important role of sparse neuronal activity underlying this special feature of higher visual areas.

  12. Brain Research: Implications for Learning.

    Science.gov (United States)

    Soares, Louise M.; Soares, Anthony T.

    Brain research has illuminated several areas of the learning process: (1) learning as association; (2) learning as reinforcement; (3) learning as perception; (4) learning as imitation; (5) learning as organization; (6) learning as individual style; and (7) learning as brain activity. The classic conditioning model developed by Pavlov advanced…

  13. Evaluation of toxic metals and essential elements in children with learning disabilities from a rural area of southern Brazil.

    Science.gov (United States)

    do Nascimento, Sabrina Nunes; Charão, Mariele Feiffer; Moro, Angela Maria; Roehrs, Miguel; Paniz, Clovis; Baierle, Marília; Brucker, Natália; Gioda, Adriana; Barbosa, Fernando; Bohrer, Denise; Ávila, Daiana Silva; Garcia, Solange Cristina

    2014-10-17

    Children's exposure to metals can result in adverse effects such as cognitive function impairments. This study aimed to evaluate some toxic metals and levels of essential trace elements in blood, hair, and drinking water in children from a rural area of Southern Brazil. Cognitive ability and δ-aminolevulinate dehydratase (ALA-D) activity were evaluated. Oxidative stress was evaluated as a main mechanism of metal toxicity, through the quantification of malondialdehyde (MDA) levels. This study included 20 children from a rural area and 20 children from an urban area. Our findings demonstrated increase in blood lead (Pb) levels (BLLs). Also, increased levels of nickel (Ni) in blood and increase of aluminum (Al) levels in hair and drinking water in rural children were found. Deficiency in selenium (Se) levels was observed in rural children as well. Rural children with visual-motor immaturity presented Pb levels in hair significantly increased in relation to rural children without visual-motor immaturity (p < 0.05). Negative correlations between BLLs and ALA-D activity and positive correlations between BLLs and ALA-RE activity were observed. MDA was significantly higher in rural compared to urban children (p < 0.05). Our findings suggest that rural children were co-exposed to toxic metals, especially Al, Pb and Ni. Moreover, a slight deficiency of Se was observed. Low performance on cognitive ability tests and ALA-D inhibition can be related to metal exposure in rural children. Oxidative stress was suggested as a main toxicological mechanism involved in metal exposure.

  14. Evaluation of Toxic Metals and Essential Elements in Children with Learning Disabilities from a Rural Area of Southern Brazil

    Directory of Open Access Journals (Sweden)

    Sabrina Nunes do Nascimento

    2014-10-01

    Full Text Available Children’s exposure to metals can result in adverse effects such as cognitive function impairments. This study aimed to evaluate some toxic metals and levels of essential trace elements in blood, hair, and drinking water in children from a rural area of Southern Brazil. Cognitive ability and δ-aminolevulinate dehydratase (ALA-D activity were evaluated. Oxidative stress was evaluated as a main mechanism of metal toxicity, through the quantification of malondialdehyde (MDA levels. This study included 20 children from a rural area and 20 children from an urban area. Our findings demonstrated increase in blood lead (Pb levels (BLLs. Also, increased levels of nickel (Ni in blood and increase of aluminum (Al levels in hair and drinking water in rural children were found. Deficiency in selenium (Se levels was observed in rural children as well. Rural children with visual-motor immaturity presented Pb levels in hair significantly increased in relation to rural children without visual-motor immaturity (p < 0.05. Negative correlations between BLLs and ALA-D activity and positive correlations between BLLs and ALA-RE activity were observed. MDA was significantly higher in rural compared to urban children (p < 0.05. Our findings suggest that rural children were co-exposed to toxic metals, especially Al, Pb and Ni. Moreover, a slight deficiency of Se was observed. Low performance on cognitive ability tests and ALA-D inhibition can be related to metal exposure in rural children. Oxidative stress was suggested as a main toxicological mechanism involved in metal exposure.

  15. The "Learning Through Play" project. Importance of interdisciplinary work among children born prematurely and their family groups in an area of high socio-environmental risk.

    Science.gov (United States)

    Tobar, Flor L; Lencina, Manuel J

    2017-12-01

    Several socio-environmental risk factors causea large number of children born prematurely, and without neurological disorders, to have low scores in their development, particularly in the cognitive and socio-emotional skills areas, thus evidencing a potential future risk. Strengthening bonds with the family and caregivers is critical for their adequate development. This article reports on the experience of an interdisciplinary team from Hospital Eva Perón de Tucumán, who designed a program called "Learning Through Play"for the promotion of child development and aimed at parents of preterm infants seen at the Follow-up Outpatient Clinic and the Department of Social Services, with the collaboration of the Department of Nutrition. Sociedad Argentina de Pediatría.

  16. Effects of special brain area regional cerebral blood flow abnormal perfusion on learning and memory function and its molecular mechanism in rats

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    s To study the effect of special brain area regional cerebral blood flow (rCBF) abnormal perfusion on learning and memory function and its molecular mechanism,64 adult male healthy Spragne-Dawley (SD) rats were randomly divided into two groups,the false operation group (control group) and the operation group (model group).After surgical operation,the operation group undertook bilateral common carotid artery permanent ligation,while the other group did not.Learning and memory function were measured by Y-maze at 4 h,8 h,24 h and 3 d after surgical operation,respectively.The rCBF of the right frontal lobe and hippocampus was also detected by the PerifluxPF model laser Doppler flowmetry,and the expressions of c-fos or c-jun or Bcl-2 and Bax were also measured by immune histochemistry S-P method accordingly.Results showed that the rCBF of the right frontal lobe and hippocampus in the operation group was significantly lower than that in the false operation group (P < 0.05).The learning indexes,error number (EN),day of reach standard and total reaction time (TRT) in the operation group,were significantly higher than that in the false operation group (P< 0.05).However,the initiative evasion rate in the operation group was significantly lower than that in the false operation group.The study also found that the rCBF was relatively more,the indexes (EN,the day of reach standard and TRT) relatively fewer,but the initiative evasion rate and the memory keeping rate were relatively more.The positive expression and the average absorbency of Fos and Jun in the operation group were significantly higher than that in the false operation group (P< 0.05).Furthermore,Bax and Bcl-2 positive cells were all increased over time in the operation group,and the expression ratio of Bax/Bcl-2 in the operation group was significantly higher than that in the false operation group (P<0.01).In conclusion,rCBF decrease can impair the learning and memory function in rats,which may be related to

  17. LEARNING ABOUT LEARNING, A CONFERENCE REPORT.

    Science.gov (United States)

    BRUNER, JEROME

    TO EXPLORE THE NATURE OF THE LEARNING PROCESS, THREE IMPORTANT PROBLEM AREAS WERE STUDIED. STUDIES IN THE FIRST AREA, ATTITUDINAL AND AFFECTIVE SKILLS, ARE CONCERNED WITH INDUCING A CHILD TO LEARN AND SUSTAINING HIS ATTENTION. STUDIES IN THE SECOND AREA, COGNITIVE SKILLS, SOUGHT TO DISCOVER WHETHER GENERAL IDEAS AND SKILLS CAN BE LEARNED IN SUCH A…

  18. A CONCEPTUAL FRAMEWORK OF VIRTUAL INTERACTIVE TEACHER TRAINING THROUGH OPEN AND DISTANCE LEARNING FOR THE REMOTE AREAS ENGLISH TEACHERS OF BANGLADESH

    Directory of Open Access Journals (Sweden)

    Irene PARVIN

    2017-01-01

    Full Text Available Since we are living in the information age and the importance of the need for communication among people of different cultures is increasing day by day in the globalizing world, people need to learn the languages of different cultures, particularly English, which is the common language of this global communication. This need for learning English requires trained qualified teachers of English. A scan of those who are teaching English in schools of Bangladesh reveals that most of them are very limited in both English skills and teaching methodologies for English. This situation is exacerbated when one moves into the rural areas. Most of the teachers are staying far away from the teachers’ training colleges and also for different constraint like administrative, financial, time constraint and were also unable to receive any training due to family problems. So Distance Education has a great demand to them. ICT is an effective media of distance education. For many years, universities with a significant commitment to distance and open education institutions have been at the forefront of adopting new technologies to increase access to education and training opportunities. Information and Communications Technology (ICT is an umbrella term that includes all technologies for the manipulation and communication of information. Bangladesh Open University (BOU is till now belonging to the second generation of distance education model but due to the enhancement of technology in Bangladesh, BOU can proceed further. The main purpose of this study is to identify a suitable technology for developing a virtual interactive teachers’ training program for the disadvantaged English teachers of Bangladesh. Respondents were selected through random sampling and data were analyzed using both descriptive statistics and quantitative themes. From the opinion of the secondary English teachers their access and acceptability on ICT was identified and also a need analysis was

  19. Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine Learning Algorithms

    Directory of Open Access Journals (Sweden)

    Yuanhui Zhu

    2017-10-01

    Full Text Available To accurately estimate leaf area index (LAI in mangrove areas, the selection of appropriate models and predictor variables is critical. However, there is a major challenge in quantifying and mapping LAI using multi-spectral sensors due to the saturation effects of traditional vegetation indices (VIs for mangrove forests. WorldView-2 (WV2 imagery has proven to be effective to estimate LAI of grasslands and forests, but the sensitivity of its vegetation indices (VIs has been uncertain for mangrove forests. Furthermore, the single model may exhibit certain randomness and instability in model calibration and estimation accuracy. Therefore, this study aims to explore the sensitivity of WV2 VIs for estimating mangrove LAI by comparing artificial neural network regression (ANNR, support vector regression (SVR and random forest regression (RFR. The results suggest that the RFR algorithm yields the best results (RMSE = 0.45, 14.55% of the average LAI, followed by ANNR (RMSE = 0.49, 16.04% of the average LAI, and then SVR (RMSE = 0.51, 16.56% of the average LAI algorithms using 5-fold cross validation (CV using all VIs. Quantification of the variable importance shows that the VIs derived from the red-edge band consistently remain the most important contributor to LAI estimation. When the red-edge band-derived VIs are removed from the models, estimation accuracies measured in relative RMSE (RMSEr decrease by 3.79%, 2.70% and 4.47% for ANNR, SVR and RFR models respectively. VIs derived from red-edge band also yield better accuracy compared with other traditional bands of WV2, such as near-infrared-1 and near-infrared-2 band. Furthermore, the estimated LAI values vary significantly across different mangrove species. The study demonstrates the utility of VIs of WV2 imagery and the selected machine-learning algorithms in developing LAI models in mangrove forests. The results indicate that the red-edge band of WV2 imagery can help alleviate the saturation

  20. How Can We Best Use Our School Garden Space? Exploring the Concepts of Area and Perimeter in an Authentic Learning Context

    Science.gov (United States)

    Selmer, Sarah; Valentine, Keri; Luna, Melissa; Rummel, Sarah; Rye, James

    2016-01-01

    Using Garden Based Learning (GBL) as an integrated mathematics and science unit, this article describes the mathematical journey of students as they work through the process of designing their own garden beds.

  1. Informal learning.

    Science.gov (United States)

    Callanan, Maureen; Cervantes, Christi; Loomis, Molly

    2011-11-01

    We consider research and theory relevant to the notion of informal learning. Beginning with historical and definitional issues, we argue that learning happens not just in schools or in school-aged children. Many theorists have contrasted informal learning with formal learning. Moving beyond this dichotomy, and away from a focus on where learning occurs, we discuss five dimensions of informal learning that are drawn from the literature: (1) non-didactive, (2) highly socially collaborative, (3) embedded in meaningful activity, (4) initiated by learner's interest or choice, and (5) removed from external assessment. We consider these dimensions in the context of four sample domains: learning a first language, learning about the mind and emotions within families and communities, learning about science in family conversations and museum settings, and workplace learning. Finally, we conclude by considering convergences and divergences across the different literatures and suggesting areas for future research. WIREs Cogni Sci 2011 2 646-655 DOI: 10.1002/wcs.143 For further resources related to this article, please visit the WIREs website. Copyright © 2011 John Wiley & Sons, Ltd.

  2. Correlation between special brain area and blood perfusion in patients with cerebral infarction at convalescent period Feasibility for quantitative determination and estimation of learning and memory function

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    BACKGROUND: Presently, clinic memory scale is used to evaluate learning memory ability in most studies,and the influence of difference in measurement condition of individuals exists.OBJECTIVE: To study the correlation between regional cerebral blood flow (rCBF) perfusion and learning memory function in special brain regions of patients with cerebral infarction at convalescent period,and to try to find out a method which can quantitatively evaluate learning ability.DESIGN: Case observation, and correlation analysis.SETTINGS: Shandong Institute for Behavioral Medicine; the Affiliated Hospital of Jining Medical College.PARTICIPANTS: Totally 70 patients with cerebral infarction admitted to Departtment of Neurology, Jining Medical College between January 2004 and December 2005 were involved. The involved patients, 58 male and 12 female, were averaged (52±3) years, and they were all right handed. They all met the diagnosis criteria instituted by the Fourth National Conference on Cerebrovascular Disease, and were confirmed as cerebral infarction by skull CT or MRI. Informed consents of detected items were obtained from all the patients and relatives.METHODS: When the patients were at convalescent period, their learning and memory ability were measured with" clinic memory scale (set A)". The 18 patients whose total mark over 100 were regarded as good learning memory function group; The 23 cases whose total mark less than 70 were regarded as poor learning memory function group. RCBF of hippocampus, nucleus amygdalae, temporal cortex and prefrontal lobe of patients between two groups were measured and compared by single photon emission computed tomography (SPECT). The total scores of the 18 good learning memory patients and 23 poor learning memory patients were taken as dependent variable Y, and their rCBFs of hippocampus, nucleus amygdale,temporal cortex and prefrontal lobe respectively as independent variable X for linear correlation analysis.MAIN OUTCOME MEASURES

  3. Enhancement of motor learning by focal intermittent theta burst stimulation (iTBS) of either the primary motor (M1) or somatosensory area (S1) in healthy human subjects.

    Science.gov (United States)

    Platz, Thomas; Adler-Wiebe, Marija; Roschka, Sybille; Lotze, Martin

    2018-01-01

    Motor rehabilitation after brain damage relies on motor re-learning as induced by specific training. Non-invasive brain stimulation (NIBS) can alter cortical excitability and thereby has a potential to enhance subsequent training-induced learning. Knowledge about any priming effects of NIBS on motor learning in healthy subjects can help to design targeted therapeutic applications in brain-damaged subjects. To examine whether complex motor learning in healthy subjects can be enhanced by intermittent theta burst stimulation (iTBS) to primary motor or sensory cortical areas. Eighteen young healthy subjects trained eight different arm motor tasks (arm ability training, AAT) once a day for 5 days using their left non-dominant arm. Except for day 1 (baseline), training was performed after applying an excitatory form of repetitive transcranial magnetic stimulation (iTBS) to either (I) right M1 or (II) S1, or (III) sham stimulation to the right M1. Subjects were randomly assigned to conditions I, II, or III. A principal component analysis of the motor behaviour data suggested eight independent motor abilities corresponding to the 8 trained tasks. AAT induced substantial motor learning across abilities with generalisation to a non-trained test of finger dexterity (Nine-Hole-Peg-Test, NHPT). Participants receiving iTBS (to either M1 or S1) showed better performance with the AAT tasks over the period of training compared to sham stimulation as well as a bigger improvement with the generalisation task (NHPT) for the trained left hand after training completion. Priming with an excitatory repetitive transcranial magnetic stimulation as iTBS of either M1 or S1 can enhance motor learning across different sensorimotor abilities.

  4. Toward a Social Approach to Learning in Community Service Learning

    Science.gov (United States)

    Cooks, Leda; Scharrer, Erica; Paredes, Mari Castaneda

    2004-01-01

    The authors describe a social approach to learning in community service learning that extends the contributions of three theoretical bodies of scholarship on learning: social constructionism, critical pedagogy, and community service learning. Building on the assumptions about learning described in each of these areas, engagement, identity, and…

  5. Non-Formal Education for a Culturally Isolated Student in a Remote Area: The Case of a Thai Student Who Received Learning Assistance via the Internet

    Science.gov (United States)

    Maruyama, Hideki

    2015-01-01

    This article describes how a language minority student developed through flexible online learning assistance for the entrance examination of a Japanese public high school. The simple camera function of a digital tablet helped the isolated Thai student attain success in developing academic skills and self-esteem. The case also shows the insight…

  6. Block Play and Mathematics Learning in Preschool: The Effects of Building Complexity, Peer and Teacher Interactions in the Block Area, and Replica Play Materials

    Science.gov (United States)

    Trawick-Smith, Jeffrey; Swaminathan, Sudha; Baton, Brooke; Danieluk, Courtney; Marsh, Samantha; Szarwacki, Monika

    2017-01-01

    Block play has been included in early childhood classrooms for over a century, yet few studies have examined its effects on learning. Several previous investigations indicate that the complexity of block building is associated with math ability, but these studies were often conducted in adult-guided, laboratory settings. In the present…

  7. Promoting Self-Directed Learning in Developing or Poorly Defined Subject Areas: A Problem-Based Course in Molecular Biology, Genetics, and Cancer.

    Science.gov (United States)

    Edmondson, Katherine M.

    A new problem-based course in molecular biology, genetics, and cancer for first-year veterinary students was developed at the College of Veterinary Medicine at Cornell University (New York). The course was developed out of a desire to foster student-centered and lifelong learning and to integrate basic and clinical science knowledge despite a lack…

  8. Making the Invisible of Learning Visible: Pre-Service Teachers Identify Connections between the Use of Literacy Strategies and Their Content Area Assessment Practices

    Science.gov (United States)

    Mitton-Kukner, Jennifer; Orr, Anne Murray

    2014-01-01

    In this paper we describe four ways secondary pre-service teachers appeared to be developing assessment practices during field experience, after taking a content area literacy course. This paper arises from a multi-year study exploring pre-service and beginning content area teachers' use of literacy strategies in teaching mathematics, science, and…

  9. Control Areas

    Data.gov (United States)

    Department of Homeland Security — This feature class represents electric power Control Areas. Control Areas, also known as Balancing Authority Areas, are controlled by Balancing Authorities, who are...

  10. Feedback from European Social Partners as Part of the Consultation on the Commission's Memorandum on Lifelong Learning. Supporting Document to the Communication from the Commission Making a European Area of Lifelong Learning a Reality.

    Science.gov (United States)

    Commission of the European Communities, Brussels (Belgium). Directorate-General for Education and Culture.

    This document provides European social partners' responses to the Commission's memorandum on lifelong learning. Part 1, Opinion of the European Center of Enterprises, makes comments and proposals related to the memorandum's six key messages, which are new basic skills for all; more investment in human resources; innovation in teaching and…

  11. A multicenter, longitudinal, interventional, double blind randomized clinical trial in hematopoietic cell transplant recipients residing in remote areas: Lessons learned from the late cytomegalovirus prevention trial

    Directory of Open Access Journals (Sweden)

    Louise E. Kimball

    2016-12-01

    Conclusion: Complex randomized, double-blind, multicenter interventional trials with treatment decisions made at a central coordinating site can be conducted safely and effectively according to Good Clinical Practice (GCP guidelines over a large geographic area.

  12. Project-Based Learning in the Masters degree in Nuclear Engineering at BarcelonaTECH. Experience gained in the area of Management of Nuclear Power Plants

    International Nuclear Information System (INIS)

    Reventos, F.; Vives, E.; Brunet, A.; Sabate, R.; Calvino, F.; Batet, L.

    2014-01-01

    From its first edition, that took place in 2011-2012, the Masters degree in Nuclear Engineering from BarcelonaTECH has been using techniques of Project-Based Learning to fulfill the purpose of training nuclear engineers with a profile suitable for positions in the industry. The Master is sponsored by ENDESA and relies on the collaboration with institutions and companies. The Master is embedded in EMINE, the European Master in Innovation in Nuclear Energy, supported by KIC-InnoEnergy and the European Institute of Technology. (Author)

  13. Project-Based Learning in the Masters degree in Nuclear Engineering at BarcelonaTECH. Experience gained in the area of Management of Nuclear Power Plants

    Energy Technology Data Exchange (ETDEWEB)

    Reventos, F.; Vives, E.; Brunet, A.; Sabate, R.; Calvino, F.; Batet, L.

    2014-07-01

    From its first edition, that took place in 2011-2012, the Masters degree in Nuclear Engineering from BarcelonaTECH has been using techniques of Project-Based Learning to fulfill the purpose of training nuclear engineers with a profile suitable for positions in the industry. The Master is sponsored by ENDESA and relies on the collaboration with institutions and companies. The Master is embedded in EMINE, the European Master in Innovation in Nuclear Energy, supported by KIC-InnoEnergy and the European Institute of Technology. (Author)

  14. Learning analytics dashboard applications

    NARCIS (Netherlands)

    Verbert, K.; Duval, E.; Klerkx, J.; Govaerts, S.; Santos, J.L.

    2013-01-01

    This article introduces learning analytics dashboards that visualize learning traces for learners and teachers. We present a conceptual framework that helps to analyze learning analytics applications for these kinds of users. We then present our own work in this area and compare with 15 related

  15. Neonatal lesions of orbital frontal areas 11/13 in monkeys alter goal-directed behavior but spare fear conditioning and safety signal learning.

    Directory of Open Access Journals (Sweden)

    Andy M Kazama

    2014-03-01

    Full Text Available Recent studies in monkeys have demonstrated that damage to the lateral subfields of orbital frontal cortex (OFC areas 11/13 yields profound changes in flexible modulation of goal-directed behaviors and a lack in fear regulation. Yet, little consideration has been placed on its role in emotional and social development throughout life. The current study investigated the effects of neonatal lesions of the OFC on the flexible modulation of goal-directed behaviors and fear responses in monkeys. Infant monkeys received neonatal lesions of OFC areas 11/13 or sham-lesions during the first post-natal week. Modulation of goal-directed behaviors was measured with a devaluation task at 3-4 years and 6-7 years. Modulation of fear reactivity by safety signals was assessed with the AX+/BX- potentiated-startle paradigm at 6-7 years. Similar to adult-onset OFC lesions, selective neonatal lesions of OFC areas 11/13 yielded a failure to modulate behavioral responses guided by changes in reward value, but spared the ability to modulate fear responses in the presence of safety signals. These results suggest that these areas play a critical role in the development of behavioral adaptation during goal-directed behaviors, but not, or less so, in the development of the ability to process emotionally salient stimuli and to modulate emotional reactivity using environmental contexts, which could be supported by other OFC subfields, such as the most ventromedial subfields (i.e. areas 14/25. Given similar impaired decision-making abilities and spared modulation of fear followed both neonatal lesions of either OFC areas 11 and 13 or amygdala (Kazama et al., 2012; Kazama & Bachevalier, 2013, the present results suggest that interactions between these two neural structures play a critical role in the development of behavioral adaptation; an ability essential for the self-regulation of emotion and behavior that assures the maintenance of successful social relationships.

  16. "I Am Reading to Her and She Loves It": Benefits of Engaging Fathers from Disadvantaged Areas in Their Children's Early Learning Transitions

    Science.gov (United States)

    Potter, Carol; Walker, Gary; Keen, Bev

    2013-01-01

    Findings presented here relate to the evaluation of a one-year father-inclusion project, which took place in an area of multiple deprivation in the North of England. The project's goal was to engage fathers and male carers in their children's transition from an early years setting to a reception class and to maintain that involvement in the…

  17. Learning from the energetic rural area. Local and regional coalitions for sustainable development of rural areas; Leren van het energieke platteland. Lokale en regionale coalities voor duurzame plattelands ontwikkeling

    Energy Technology Data Exchange (ETDEWEB)

    Farjon, H.; Arnouts, R.

    2013-07-15

    Citizens and businesses start on a regular basis, and in cooperation with the Dutch government, initiatives to improve the living environment in rural areas. In this study, 32 examples are discussed to detect issues that can be improved. The examples concern more or less successful partnerships for sustainable rural development, in which the market, citizens and civil society play a prominent role. Four issues for improvement are identified: (1) Other accents are required in laws and regulations for the living environment; (2) The Dutch government must give smart directions by means of levies and incentives; (3) A vision of the governments is essential; and (4) Towards a proactive, facilitating government [Dutch] Burgers en bedrijven nemen regelmatig samen met overheden initiatieven om de leefomgeving op het platteland te verbeteren. In deze studie zijn 32 praktijkvoorbeelden onder de loep genomen om die verbeterpunten op te sporen. Het gaat om meer of minder succesvolle samenwerkingsverbanden voor duurzame plattelandsontwikkeling, waarin marktpartijen, burgers en het maatschappelijk middenveld een vooraanstaande rol spelen. Hierbij worden vier verbeterpunten gesignaleerd: (1) Andere accenten gewenst in wet- en regelgeving voor de leefomgeving; (2) Slimmer sturen met heffingen en vergoedingen door de overheid; (3) Visie van overheden is onontbeerlijk; en (4) Naar een proactieve, faciliterende overheid.

  18. What did we learn from ecologic studies performed on the long term on fauna and flora of areas contaminated by the Chernobyl and Fukushima accidents?

    International Nuclear Information System (INIS)

    2016-03-01

    Based on several published studies, this report proposes a synthetic overview of observations made on the consequences of the Chernobyl and Fukushima accidents on fauna and flora in contaminated areas. It is noticed that, due to the complexity of multidisciplinary approaches, results and conclusions are often contradictory among these publications. These publications may concern various animal and vegetal species. For examples, various studies noticed morphological anomalies on pine trees without establishing a clear dose-effects relationship. Studies on invertebrates depend on the studied species, and evolutions on both sites can be different. As far as birds are concerned, it seems that there is a correlation between a loss of abundance and the ambient dose rate. Apparently, the evacuation of human populations is the determining factor to explain the return of animals in contaminated areas

  19. INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY: Dynamic Evolution with Limited Learning Information on a Small-World Network

    Science.gov (United States)

    Dong, Lin-Rong

    2010-09-01

    This paper investigates the dynamic evolution with limited learning information on a small-world network. In the system, the information among the interaction players is not very lucid, and the players are not allowed to inspect the profit collected by its neighbors, thus the focal player cannot choose randomly a neighbor or the wealthiest one and compare its payoff to copy its strategy. It is assumed that the information acquainted by the player declines in the form of the exponential with the geographical distance between the players, and a parameter V is introduced to denote the inspect-ability about the players. It is found that under the hospitable conditions, cooperation increases with the randomness and is inhibited by the large connectivity for the prisoner's dilemma; however, cooperation is maximal at the moderate rewiring probability and is chaos with the connectivity for the snowdrift game. For the two games, the acuminous sight is in favor of the cooperation under the hospitable conditions; whereas, the myopic eyes are advantageous to cooperation and cooperation increases with the randomness under the hostile condition.

  20. Cooperative Learning: Developments in Research

    Science.gov (United States)

    Gillies, Robyn M.

    2014-01-01

    Cooperative learning is widely recognized as a pedagogical practice that promotes socialization and learning among students from kindergarten through to college level and across different subject areas. Cooperative learning involves students working together to achieve common goals or complete group tasks. Interest in cooperative learning has…

  1. Learning How to Learn

    DEFF Research Database (Denmark)

    Lauridsen, Karen M.; Lauridsen, Ole

    Ole Lauridsen, Aarhus School of Business and Social Sciences, Aarhus University, Denmark Karen M. Lauridsen, Aarhus School of Business and Social Sciences, Aarhus University, Denmark Learning Styles in Higher Education – Learning How to Learn Applying learning styles (LS) in higher education...... by Constructivist learning theory and current basic knowledge of how the brain learns. The LS concept will thus be placed in a broader learning theoretical context as a strong learning and teaching tool. Participants will be offered the opportunity to have their own LS preferences established before...... teaching leads to positive results and enhanced student learning. However, learning styles should not only be considered a didactic matter for the teacher, but also a tool for the individual students to improve their learning capabilities – not least in contexts where information is not necessarily...

  2. Developing a universal reading comprehension intervention for mainstream primary schools within areas of social deprivation for children with and without language-learning impairment: a feasibility study.

    Science.gov (United States)

    McCartney, Elspeth; Boyle, James; Ellis, Sue

    2015-01-01

    Some children in areas of social deprivation in Scotland have lower reading attainment than neighbouring children in less deprived areas, and some of these also have lower spoken language comprehension skills than expected by assessment norms. There is a need to develop effective reading comprehension interventions that fit easily into the school curriculum and can benefit all pupils. A feasibility study of reading comprehension strategies with existing evidence of efficacy was undertaken in three mainstream primary schools within an area of social deprivation in west central Scotland, to decide whether further investigation of this intervention was warranted. Aims were to measure comprehension of spoken language and reading via standardised assessments towards the beginning of the school year (T1) in mainstream primary school classrooms within an area of social deprivation; to have teachers introduce previously-validated text comprehension strategies, and to measure change in reading comprehension outcome measures towards the end of the year (T2). A pre- and post-intervention cohort design was used. Reading comprehension strategies were introduced to staff in participating schools and used throughout the school year as part of on-going reading instruction. Spoken language comprehension was measured by TROG-2 at T1, and reading progress by score changes from T1 to T2 on the WIAT-II(UK) -T reading comprehension scale. Forty-seven pupils in five classes in three primary schools took part: 38% had TROG-2 scores below the 10(th) centile. As a group, children made good reading comprehension progress, with a medium effect size of 0.46. Children with TROG-2 scores below the 10(th) centile had lower mean reading scores than others at T1 and T2, although with considerable overlap. However, TROG-2 did not make a unique contribution to reading progress: children below the 10(th) centile made as much progress as other children. The intervention was welcomed by schools, and the

  3. Semantic Modelling for Learning Styles and Learning Material in an E-Learning Environment

    Science.gov (United States)

    Alhasan, Khawla; Chen, Liming; Chen, Feng

    2017-01-01

    Various learners with various requirements have led to the raise of a crucial concern in the area of e-learning. A new technology for propagating learning to learners worldwide, has led to an evolution in the e-learning industry that takes into account all the requirements of the learning process. In spite of the wide growing, the e-learning…

  4. Learning to Learn.

    Science.gov (United States)

    Weiss, Helen; Weiss, Martin

    1988-01-01

    The article reviews theories of learning (e.g., stimulus-response, trial and error, operant conditioning, cognitive), considers the role of motivation, and summarizes nine research-supported rules of effective learning. Suggestions are applied to teaching learning strategies to learning-disabled students. (DB)

  5. [Interprofessional multistation practical training in the auditorium : Implementation of the national competence-based catalog of learning objectives for undergraduate medical education in the cross-sectorial area medicine of aging and the aged at the TU Dresden].

    Science.gov (United States)

    Sauer, Maik; Görnig, Matthias; Voigt, Karen; Schübel, Jeaninne; Bergmann, Antje

    2017-12-05

    The German national competence-based catalogue of learning objectives for undergraduate medical education (NKLM) newly introduced in 2015, provides a variety of learning objectives, competences, as well as practical skills for the cross-sectorial area 7 "Medication of Aging and the Aged" (QB7). Against this background an interdisciplinary teaching concept to mediate all required teaching contents should be developed. Can an interdisciplinary multistation practical course in the auditorium, in which different tasks and skills are trained at each station meet the requirements of the NKLM? Evaluation by questionnaire and rating of answers on a 6-stage Likert scale. Analysis of the qualitative and quantitative evaluation results of 235 participating students and 13 lecturers in 2016. The interdisciplinary multistation practical course in the auditorium is fully compliant with the NKLM. All theoretical and practical contents and competences could be depicted. The subjective learning effect was assessed by students as good (mean = 2.66; SD = 0.94; N = 230). The available teaching time was rated as being too short in qualitative statements. The lecturers attested a high degree of interest by the students (mean = 2.15; SD = 0.86; N = 13), but criticized that the noise level was too loud. Compact, hands-on and interdisciplinary teaching concepts in the QB7 help to make the best use of human and spatial resources and convey all theoretical and practical teaching contents and competences from the NKLM; however, the planning, organization and implementation are very time-consuming.

  6. Anchorage Areas

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — An anchorage area is a place where boats and ships can safely drop anchor. These areas are created in navigable waterways when ships and vessels require them for...

  7. The geological evolution of opalinus clay in the Zurcher Weinland Area (ne Switzerland): learning from the past to predict future evolution and stability

    International Nuclear Information System (INIS)

    Gautschi, A.; Mazurek, M.

    2004-01-01

    A number of safety-relevant issues need to be addressed when considering long-term evolution of a radioactive waste repository, out of which uplift/erosion, fault activity, and changes in the geochemical and hydrogeological environment are particularly important. Among the strongest arguments in the prediction of future evolution is the extrapolation of events and processes that occurred over a long period of time in the geological past (e.g. 10 Ma) to a shorter period in the future. The future long-term evolution of Opalinus Clay in a potential siting area for a high-level waste repository in the Zurcher Weinland (NE Switzerland) is considered over a time period of around l Ma. The geological evolution or geological stability, respectively, can be predicted plausibly within reasonable limits over such a time period based on a detailed analysis of geological history. Predictions extending beyond this time period are feasible but contain an increasing element of uncertainty. This paper summarises the project-related conclusions, which are presented in greater detail in Nagra (2002a). (author)

  8. New Forms of Electronic Tools in the Information and Communication, Used for Creating the European Higher Education Area and in e-Learning Development

    Directory of Open Access Journals (Sweden)

    Monika Krakowska

    2008-06-01

    Full Text Available The article is on the issues of using new ICT tools in the European educational area and carrying joint research works. The subject of the research were the forms of the traditional and electronic communication used within the virtual HERN organisation - Higher Education of Network Reforms – established by representatives of the academic circles as well as decision-makers. Special attention was paid to the e-forum. Also, the role of the moderator was analysed with reference to the e-forum. The author tried to determine the reason for low attendance during the e-argument. A method of analysis of documents and participating observation was applied. A technique of the questionnaire form and a method of case study were used to examine a group of HERN users. Results demonstrated that partners were becoming more involved in forms of face-to-face communication, such as conferences, than into forms of electronic communication. The most important barriers in the e-communication that have been determined included technical, linguistic and time-related problems.

  9. Science and Technology Business Area Strategic Plan

    National Research Council Canada - National Science Library

    Paul, Richard

    2000-01-01

    The S&T Business Area Strategic Plan has been updated to include lessons learned over the last two years, identifies areas that need to be reviewed further, addresses business opportunities and threats...

  10. Learning Styles.

    Science.gov (United States)

    Missouri Univ., Columbia. Coll. of Education.

    Information is provided regarding major learning styles and other factors important to student learning. Several typically asked questions are presented regarding different learning styles (visual, auditory, tactile and kinesthetic, and multisensory learning), associated considerations, determining individuals' learning styles, and appropriate…

  11. Learning Networks, Networked Learning

    NARCIS (Netherlands)

    Sloep, Peter; Berlanga, Adriana

    2010-01-01

    Sloep, P. B., & Berlanga, A. J. (2011). Learning Networks, Networked Learning [Redes de Aprendizaje, Aprendizaje en Red]. Comunicar, XIX(37), 55-63. Retrieved from http://dx.doi.org/10.3916/C37-2011-02-05

  12. Transfer Learning beyond Text Classification

    Science.gov (United States)

    Yang, Qiang

    Transfer learning is a new machine learning and data mining framework that allows the training and test data to come from different distributions or feature spaces. We can find many novel applications of machine learning and data mining where transfer learning is necessary. While much has been done in transfer learning in text classification and reinforcement learning, there has been a lack of documented success stories of novel applications of transfer learning in other areas. In this invited article, I will argue that transfer learning is in fact quite ubiquitous in many real world applications. In this article, I will illustrate this point through an overview of a broad spectrum of applications of transfer learning that range from collaborative filtering to sensor based location estimation and logical action model learning for AI planning. I will also discuss some potential future directions of transfer learning.

  13. Different metabolic profiles of K1 serotype and non-serotype K1 and K2 Klebsiella pneumoniae isolates in oral infection mice model.

    Science.gov (United States)

    Chen, Nan; Wang, Lin-Lin; Xue, Juan; Ma, Xiang-Bo; Zhao, Sheng; Rong, Rui-Xue; Li, Hong-Quan; Ding, Liang; Zheng, Ming-Zhi; Chen, Ying-Ying; Duan, Fei; Shen, Yue-Liang

    2014-10-01

    K1 or K2 serotype Klebsiella pneumoniae isolate caused clinical pyogenic liver abscess (KLA) infection is prevalent in many areas. It has been identified that K1 or K2 serotype K. pneumoniae isolates caused KLA infection in mice by oral inoculation. In our study, K1 serotype K. pneumoniae isolate Kp1002 with hypermucoviscosity (HV)-positive phenotype caused KLA infection in C57BL/6 mice by oral inoculation. Simultaneously, non-serotype K1 and K2 isolate Kp1014 with HV-negative phenotype failed to cause KLA infection in the same manner. It seems that gastrointestinal tract translocation is the pathway by which K1 or K2 serotype K. pneumoniae caused KLA infection. Liquid chromatography-tandem mass spectrometry was used to further analyze metabolic profile changes in mice with KLA infection. Data showed that after Kp1002 or Kp1014 oral inoculation, serum Phosphatidylcholine (PC) and Lysophosphatidylcholine (LPC) levels significantly changed in mice. Some PC and LPC molecules showed changes both in the Kp1002 KLA group and the Kp1014 no-KLA group compared with the control group. The level of 18:1/18:2-PC significantly changed in the Kp1002 KLA group compared with the control group, but showed no change between the Kp1014 no-KLA group and the control group. The level of 18:1/18:2-PC might have been particularly affected by KLA infection caused by K1 serotype K. pneumoniae Kp1002. It may be a potential biomarker for KLA infection. Copyright © 2014 Elsevier Ltd. All rights reserved.

  14. Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran

    Directory of Open Access Journals (Sweden)

    Sasan Vafaei

    2018-01-01

    Full Text Available The main objective of this research is to investigate the potential combination of Sentinel-2A and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite -2 Phased Array type L-band Synthetic Aperture Radar-2 imagery for improving the accuracy of the Aboveground Biomass (AGB measurement. According to the current literature, this kind of investigation has rarely been conducted. The Hyrcanian forest area (Iran is selected as the case study. For this purpose, a total of 149 sample plots for the study area were documented through fieldwork. Using the imagery, three datasets were generated including the Sentinel-2A dataset, the ALOS-2 PALSAR-2 dataset, and the combination of the Sentinel-2A dataset and the ALOS-2 PALSAR-2 dataset (Sentinel-ALOS. Because the accuracy of the AGB estimation is dependent on the method used, in this research, four machine learning techniques were selected and compared, namely Random Forests (RF, Support Vector Regression (SVR, Multi-Layer Perceptron Neural Networks (MPL Neural Nets, and Gaussian Processes (GP. The performance of these AGB models was assessed using the coefficient of determination (R2, the root-mean-square error (RMSE, and the mean absolute error (MAE. The results showed that the AGB models derived from the combination of the Sentinel-2A and the ALOS-2 PALSAR-2 data had the highest accuracy, followed by models using the Sentinel-2A dataset and the ALOS-2 PALSAR-2 dataset. Among the four machine learning models, the SVR model (R2 = 0.73, RMSE = 38.68, and MAE = 32.28 had the highest prediction accuracy, followed by the GP model (R2 = 0.69, RMSE = 40.11, and MAE = 33.69, the RF model (R2 = 0.62, RMSE = 43.13, and MAE = 35.83, and the MPL Neural Nets model (R2 = 0.44, RMSE = 64.33, and MAE = 53.74. Overall, the Sentinel-2A imagery provides a reasonable result while the ALOS-2 PALSAR-2 imagery provides a poor result of the forest AGB estimation. The combination of the Sentinel-2A imagery and the ALOS-2 PALSAR-2

  15. KARATE WITH CONSTRUCTIVE LEARNING

    Directory of Open Access Journals (Sweden)

    Srikrishna Karanam

    2012-02-01

    Full Text Available Any conventional learning process involves the traditional hierarchy of garnering of information and then recall gathered information. Constructive learning is an important research area having wide impact on teaching methods in education, learning theories, and plays a major role in many education reform movements. It is observed that constructive learning advocates the interconnection between emotions and learning. Human teachers identify the emotions of students with varying degrees of accuracy and can improve the learning rate of the students by motivating them. In learning with computers, computers also should be given the capability to recognize emotions so as to optimize the learning process. Image Processing is a very popular tool used in the process of establishing the theory of Constructive Learning. In this paper we use the Optical Flow computation in image sequences to analyze the accuracy of the moves of a karate player. We have used the Lucas-Kanade method for computing the optical flow in image sequences. A database consisting of optical flow images by a group of persons learning karate is formed and the learning rates are analyzed in order to main constructive learning. The contours of flow images are compared with the standard images and the error graphs are plotted. Analysis of the emotion of the amateur karate player is made by observing the error plots.

  16. Introduction to machine learning.

    Science.gov (United States)

    Baştanlar, Yalin; Ozuysal, Mustafa

    2014-01-01

    The machine learning field, which can be briefly defined as enabling computers make successful predictions using past experiences, has exhibited an impressive development recently with the help of the rapid increase in the storage capacity and processing power of computers. Together with many other disciplines, machine learning methods have been widely employed in bioinformatics. The difficulties and cost of biological analyses have led to the development of sophisticated machine learning approaches for this application area. In this chapter, we first review the fundamental concepts of machine learning such as feature assessment, unsupervised versus supervised learning and types of classification. Then, we point out the main issues of designing machine learning experiments and their performance evaluation. Finally, we introduce some supervised learning methods.

  17. Infant Statistical Learning

    Science.gov (United States)

    Saffran, Jenny R.; Kirkham, Natasha Z.

    2017-01-01

    Perception involves making sense of a dynamic, multimodal environment. In the absence of mechanisms capable of exploiting the statistical patterns in the natural world, infants would face an insurmountable computational problem. Infant statistical learning mechanisms facilitate the detection of structure. These abilities allow the infant to compute across elements in their environmental input, extracting patterns for further processing and subsequent learning. In this selective review, we summarize findings that show that statistical learning is both a broad and flexible mechanism (supporting learning from different modalities across many different content areas) and input specific (shifting computations depending on the type of input and goal of learning). We suggest that statistical learning not only provides a framework for studying language development and object knowledge in constrained laboratory settings, but also allows researchers to tackle real-world problems, such as multilingualism, the role of ever-changing learning environments, and differential developmental trajectories. PMID:28793812

  18. Revitalization Areas

    Data.gov (United States)

    Department of Housing and Urban Development — Revitalization areas are HUD-designated neighborhoods in need of economic and community development and where there is already a strong commitment by the local...

  19. 700 Area

    Data.gov (United States)

    Federal Laboratory Consortium — The 700 Area of the Hanford Site is located in downtown Richland.Called the Federal Office Building, the Richland Operations Site Manager and the Richland Operations...

  20. Ten Strengths of How Teachers Do Cooperative Learning

    Science.gov (United States)

    Jaocbs, George M.

    2016-01-01

    Cooperative learning involves students in working together with peers to learn, to develop learning skills and to enjoy the learning process. This paper examines ten areas in which the author believes he and other teachers do cooperative learning well. These areas are: (1) keeping group size small, usually four or fewer; (2) encouraging students…

  1. Learning Area and Perimeter with Virtual Manipulatives

    Science.gov (United States)

    Bouck, Emily; Flanagan, Sara; Bouck, Mary

    2015-01-01

    Manipulatives are considered a best practice for educating students with disabilities, but little research exists which examines virtual manipulatives as tool for supporting students in mathematics. This project investigated the use of a virtual manipulative through the National Library of Virtual Manipulatives--polynominoes (i.e., tiles)--as a…

  2. Speaking and Listening in Content Area Learning

    Science.gov (United States)

    Fisher, Douglas; Frey, Nancy

    2014-01-01

    Oral language development facilitates print literacy. In this article, we focus on the ways in which teachers can ensure students' speaking and listening skills are developed. We provide a review of some time-tests classroom routines as well as some that can be enhanced with technology.

  3. E-Learning in Malaysia: Moving forward in Open Distance Learning

    Science.gov (United States)

    Abas, Zoraini Wati

    2009-01-01

    Many higher education institutions have embarked on e-learning as a means to support their learning and teaching activities. In distance learning institutions, e-learning has enabled them to reach out to students dispersed over a wide geographical area, locally and internationally. In some countries, e-learning has also given students the…

  4. An Adaptive E-Learning System Based on Students' Learning Styles: An Empirical Study

    Science.gov (United States)

    Drissi, Samia; Amirat, Abdelkrim

    2016-01-01

    Personalized e-learning implementation is recognized as one of the most interesting research areas in the distance web-based education. Since the learning style of each learner is different one must fit e-learning with the different needs of learners. This paper presents an approach to integrate learning styles into adaptive e-learning hypermedia.…

  5. Caka E-Learning Model

    Science.gov (United States)

    Gorsev, Gonca; Turkmen, Ugur; Askin, Cihat

    2017-01-01

    In today's world, in order to obtain the information in education, various approaches, methods and devices have been developed. Like many developing countries, e-learning and distance learning (internet based learning) are used today in many areas of education in Turkey. This research aims to contribute to education systems and develop a…

  6. Efforts to Promote Surakarta and Makassar as Children Friendly Towns

    Directory of Open Access Journals (Sweden)

    Moh Ilham A. Hamudy

    2015-05-01

    areas. The success of the KLA in a city / county is also very dependent on the commitment of all parties concerned built. In addition, the program can not be done KLA in a short time, and require no small cost. Penelitian ini adalah tentang kota layak anak (KLA. Penelitian ini dilatarbelakangi oleh kurangnya perhatian pemerintah daerah dalam melindungi anak dan keluarnya UU No 35 Tahun 2014 tentang Perlindungan Anak yang mengamanatkan kewajiban pemerintah daerah dalam mengurus anak. Penelitian ini berusaha menggambarkan pelbagai upaya yang dilakukan pemerintah Kota Surakarta dan Makassar dalam mewujudkan KLA, berikut faktor pendukung dan penghambat yang melingkupi perwujudan KLA tersebut. Dengan menggunakan metode deskriptif dan memadunya dengan pendekatan kualitatif, penelitian ini menemukan beberapa poin penting tentang upaya pemerintah daerah dalam mewujudkan KLA. Di Surakarta, misalnya, sudah ada beberapa puskesmas ramah anak. Puskemas itu dilengkapi dengan ruang tunggu khusus anak lengkap dengan alat bermainnya. Selain itu, layanan-layanan untuk anak seperti taman gizi, pojok ASI, dokter spesialis anak, layanan konseling anak dan tempat pelayanan korban kekerasan terhadap anak juga terus dilengkapi, dan masih banyak program lainnya. Tidak heran kalau penilaian Kementerian PPPA memberikan skor 713 dari total nilai yang terdapat dalam 31 indikator KLA yang sudah dipenuhi Kota Surakarta. Sedangkan, Kota Makassar belum banyak program yang dikerjakan pemerintah daerah. Pasalnya, Makassar relatif baru mencanangkan KLA dan kini masih tengah melakukan pembenahan. Di antara program yang baru dan sedang dilaksanakan Pemerintah Kota Makassar adalah pemberian akta kelahiran secara gratis, membangun rumah susun di kawasan kumuh, dan menjadikan dua kelurahan sebagai proyek percontohan KLA. Adapun faktor yang memengaruhi perwujudan KLA itu adalah komitmen. Tidak hanya komitmen kepala daerah, tetapi juga semua pihak terkait. Sebagai sebuah isu yang melibatkan pelbagai pihak, KLA

  7. Mobile learning and computational thinking

    Directory of Open Access Journals (Sweden)

    José Manuel Freixo Nunes

    2017-11-01

    Full Text Available Computational thinking can be thought of as an approach to problem solving which has been applied to different areas of learning and which has become an important field of investigation in the area of educational research. [continue

  8. Mobile learning and computational thinking

    OpenAIRE

    José Manuel Freixo Nunes; Teresa Margarida Loureiro Cardoso

    2017-01-01

    Computational thinking can be thought of as an approach to problem solving which has been applied to different areas of learning and which has become an important field of investigation in the area of educational research. [continue

  9. Learning Problems

    Science.gov (United States)

    ... Staying Safe Videos for Educators Search English Español Learning Problems KidsHealth / For Kids / Learning Problems What's in ... for how to make it better. What Are Learning Disabilities? Learning disabilities aren't contagious, but they ...

  10. Examining Informal Learning Using Mobile Devices in the Healthcare Workplace

    Science.gov (United States)

    Fahlman, Dorothy

    2013-01-01

    The study of workplace learning and informal learning are not new to adult education and pedagogy. However, the use of mobile devices as learning tools for informal learning in the workplace is an understudied area. Using theories on informal learning and constructivism as a framework, this paper explores informal learning of registered nurses…

  11. Perspectives on ontology learning

    CERN Document Server

    Lehmann, J

    2014-01-01

    Perspectives on Ontology Learning brings together researchers and practitioners from different communities − natural language processing, machine learning, and the semantic web − in order to give an interdisciplinary overview of recent advances in ontology learning.Starting with a comprehensive introduction to the theoretical foundations of ontology learning methods, the edited volume presents the state-of-the-start in automated knowledge acquisition and maintenance. It outlines future challenges in this area with a special focus on technologies suitable for pushing the boundaries beyond the c

  12. Learning about Learning

    Science.gov (United States)

    Siegler, Robert S.

    2004-01-01

    The field of children's learning was thriving when the Merrill-Palmer Quarterly was launched; the field later went into eclipse and now is in the midst of a resurgence. This commentary examines reasons for these trends, and describes the emerging field of children's learning. In particular, the new field is seen as differing from the old in its…

  13. Learning to Learn Differently

    Science.gov (United States)

    Olsen, Trude Høgvold; Glad, Tone; Filstad, Cathrine

    2018-01-01

    Purpose: This paper aims to investigate whether the formal and informal learning patterns of community health-care nurses changed in the wake of a reform that altered their work by introducing new patient groups, and to explore whether conditions in the new workplaces facilitated or impeded shifts in learning patterns. Design/methodology/approach:…

  14. Quiet areas

    DEFF Research Database (Denmark)

    Petersen, Rikke Munck

    2016-01-01

    This paper argues that drone filming can substantiate our understanding of multisensorial experiences of quiet areas and urban landscapes. Contrary to the distanced gaze often associated with the drone, this paper discusses drone filming as an intimate performativity apparatus that can affect...... perception as a result of its interrelationships between motion, gaze, and sound. This paper uses four films, one of which is a drone flyover, to launch a discussion concerning a smooth and alluring gaze, a sliding gaze that penetrates landscapes, and site appearance. Films hold the capacity to project both...... and transcendence can facilitate a deeper understanding of intimate sensations, substantiating their role in the future design and planning of urban landscapes. Hence, it addresses the ethics of an intimacy perspective (of drone filming) in the qualification of quiet areas....

  15. 'Learning Organizations': a clinician's primer.

    Science.gov (United States)

    O'Connor, Nick; Kotze, Beth

    2008-06-01

    Most clinicians are poorly informed in relation to the key concepts of organizational learning. Yet the paradigm may offer clinicians a powerful method for using their knowledge and skills to respond to the demands of a changing environment through experimentation and learning. The concept is critically examined. Organizational learning principles are presented, including a conceptual framework for assessing health services as Learning Organizations. Barriers to organizational learning and strategies to overcome these are discussed. The seminal works of Argyris and Senge are reviewed and a framework for assessing organizational learning in health services is proposed. Current area health service actions are evaluated against the 'diagnostic' framework for a Learning Organization. Although critical examination reveals a poor empirical basis for the concept, the metaphor of the Learning Organization provides a useful conceptual framework and tools for individuals and organizations to apply in developing knowledge and effecting change. The Clinical Practice Improvement and Root Cause Analysis programs being conducted across NSW area health services meet the criteria for effective organizational learning. Key concepts from organizational learning theory provide a diagnostic framework for evaluating area health services as Learning Organizations and support two current strategies for overcoming barriers to organizational learning.

  16. M-Learning: The New Horizon of Learning at SQU

    Directory of Open Access Journals (Sweden)

    Z. Al-Khanjari

    2014-12-01

    Full Text Available M-learning extends the theory and practice of learning and mobility in converging technological environments. Developing a smart course in order to improve the standard of education at Sultan Qaboos University (SQU is one of the main aims of the current authors. This proposal requires developing innovative applications for ubiquitous, mobile technologies for learning. This kind of development covers new educational and technological methods and concepts for supporting formal and informal learning. SQU is currently using Moodle as the open source e-learning management system to support and enhance traditional learning. Although elearning in SQU has proven its importance in enhancing traditional learning, it is limited to areas and locations where a personal computer exists. This constraint is a burden to many e-learning users who are staff or students, especially if they live in rural areas of Oman. To overcome this drawback, an investigative survey of the importance of m-learning was designed and distributed to SQU students. The results showed that almost all students favored and supported the idea and requested the implementation of a m-learning application. As a step forward, this paper proposes an extension for e-learning—a new m-learning tool to support learners who use mobile device technologies. Our goal in introducing m-learning at SQU is not to replace e-learning but to complement and improve it so both modalities are available, since each grants certain advantages to users.

  17. Social learning for solving complex problems: a promising solution or wishful thinking? A case study of multi-actor negotiation for the integrated management and sustainable use of the Drentsche Aa area in the Netherlands

    NARCIS (Netherlands)

    Bommel, van S.; Roling, N.G.; Aarts, M.N.C.; Turnhout, E.

    2009-01-01

    Social learning has been championed as a promising approach to address complex resource problems. According to theory, social learning requires several pre-conditions to be met, including (1) a divergence of interests, (2) mutual interdependence and (3) the ability to communicate. This article

  18. Social learning for solving complex problems: a promising solution or wishful thinking?: a case-study of multi-actor negotiation for the integrated management and the sustainable use of the Drentsche Aa area in the Netherlands

    NARCIS (Netherlands)

    van Bommel, S.; Röling, N.; Aarts, N.; Turnhout, E.

    2009-01-01

    Social learning has been championed as a promising approach to address complex resource problems. According to theory, social learning requires several pre-conditions to be met, including (1) a divergence of interests, (2) mutual interdependence and (3) the ability to communicate. This article

  19. Features and Characteristics of Problem Based Learning

    Science.gov (United States)

    Ceker, Eser; Ozdamli, Fezile

    2016-01-01

    Throughout the years, there appears to be an increase in Problem Based Learning applications in education; and Problem Based Learning related research areas. The main aim of this research is to underline the fundamentals (basic elements) of Problem Based Learning, investigate the dimensions of research approached to PBL oriented areas (with a look…

  20. Learning Curve? Which One?

    Directory of Open Access Journals (Sweden)

    Paulo Prochno

    2004-07-01

    Full Text Available Learning curves have been studied for a long time. These studies provided strong support to the hypothesis that, as organizations produce more of a product, unit costs of production decrease at a decreasing rate (see Argote, 1999 for a comprehensive review of learning curve studies. But the organizational mechanisms that lead to these results are still underexplored. We know some drivers of learning curves (ADLER; CLARK, 1991; LAPRE et al., 2000, but we still lack a more detailed view of the organizational processes behind those curves. Through an ethnographic study, I bring a comprehensive account of the first year of operations of a new automotive plant, describing what was taking place on in the assembly area during the most relevant shifts of the learning curve. The emphasis is then on how learning occurs in that setting. My analysis suggests that the overall learning curve is in fact the result of an integration process that puts together several individual ongoing learning curves in different areas throughout the organization. In the end, I propose a model to understand the evolution of these learning processes and their supporting organizational mechanisms.

  1. Machine learning an artificial intelligence approach

    CERN Document Server

    Banerjee, R; Bradshaw, Gary; Carbonell, Jaime Guillermo; Mitchell, Tom Michael; Michalski, Ryszard Spencer

    1983-01-01

    Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs-particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV a

  2. Distance Learning

    National Research Council Canada - National Science Library

    Braddock, Joseph

    1997-01-01

    A study reviewing the existing Army Distance Learning Plan (ADLP) and current Distance Learning practices, with a focus on the Army's training and educational challenges and the benefits of applying Distance Learning techniques...

  3. 25 Years Of Environmental Remediation In The General Separations Area Of The Savannah River Site: Lessons Learned About What Worked And What Did Not Work In Soil And Groundwater Cleanup

    International Nuclear Information System (INIS)

    Blount, Gerald; Thibault, Jeffrey; Millings, Margaret; Prater, Phil

    2015-01-01

    environmental remediation projects tend to be managed under tri-party agreement (DOE, Environmental Protection Agency, and SCDHEC) through the Federal Facilities Agreement. During 25 years of environmental remediation SRS has stabilized and capped seepage basins, and consolidated and capped waste units and burial grounds in the GSA. Groundwater activities include: pump and treat systems in the groundwater, installation of deep subsurface barrier systems to manage groundwater flow, in situ chemical treatments in the groundwater, and captured contaminated groundwater discharges at the surface for management in a forest irrigation system. Over the last 25 years concentrations of contaminants in the aquifers beneath the GSA and in surface water streams in the GSA have dropped significantly. Closure of 65 waste sites and 4 RCRA facilities has been successfully accomplished. Wastes have been successfully isolated in place beneath a variety of caps and cover systems. Environmental clean-up has progressed to the stage where most of the work involves monitoring, optimization, and maintenance of existing remedial systems. Many lessons have been learned in the process. Geotextile covers outperform low permeability clay caps, especially with respect to the amount of repairs required to upkeep the drainage layers as the caps age. Passive, enhanced natural processes to address groundwater contamination are much more cost effective than pump and treat systems. SRS operated two very large pump and treat systems at the F and H Seepage Basins to attempt to limit the release of tritium to Fourmile Branch, a tributary of the Savannah River. The systems were designed to extract contaminated acidic groundwater, remove all contamination except tritium (not possible to remove the tritium from the water), and inject the tritiated groundwater up-gradient of the source area and the plume. The concept was to increase the travel time of the injected water for radioactive decay of the tritium. The two

  4. Robust Multimodal Dictionary Learning

    Science.gov (United States)

    Cao, Tian; Jojic, Vladimir; Modla, Shannon; Powell, Debbie; Czymmek, Kirk; Niethammer, Marc

    2014-01-01

    We propose a robust multimodal dictionary learning method for multimodal images. Joint dictionary learning for both modalities may be impaired by lack of correspondence between image modalities in training data, for example due to areas of low quality in one of the modalities. Dictionaries learned with such non-corresponding data will induce uncertainty about image representation. In this paper, we propose a probabilistic model that accounts for image areas that are poorly corresponding between the image modalities. We cast the problem of learning a dictionary in presence of problematic image patches as a likelihood maximization problem and solve it with a variant of the EM algorithm. Our algorithm iterates identification of poorly corresponding patches and re-finements of the dictionary. We tested our method on synthetic and real data. We show improvements in image prediction quality and alignment accuracy when using the method for multimodal image registration. PMID:24505674

  5. Learning to become better

    DEFF Research Database (Denmark)

    Brem, Alexander

    2016-01-01

    This article introduces a new approach of learning where the innovation potential of an organization lies. "Backward Research" is a best practice approach from industry: it offers a tool for getting insights into corporate innovation processes. It leads to a new understanding of innovation...... procedures and developments, as many documented processes are different in daily practice. Organizations can use this approach to analyze their learning capabilities and to identify areas for improvement....

  6. Quantum Machine Learning

    OpenAIRE

    Romero García, Cristian

    2017-01-01

    [EN] In a world in which accessible information grows exponentially, the selection of the appropriate information turns out to be an extremely relevant problem. In this context, the idea of Machine Learning (ML), a subfield of Artificial Intelligence, emerged to face problems in data mining, pattern recognition, automatic prediction, among others. Quantum Machine Learning is an interdisciplinary research area combining quantum mechanics with methods of ML, in which quantum properties allow fo...

  7. What Really is Deep Learning Doing?

    OpenAIRE

    Xiong, Chuyu

    2017-01-01

    Deep learning has achieved a great success in many areas, from computer vision to natural language processing, to game playing, and much more. Yet, what deep learning is really doing is still an open question. There are a lot of works in this direction. For example, [5] tried to explain deep learning by group renormalization, and [6] tried to explain deep learning from the view of functional approximation. In order to address this very crucial question, here we see deep learning from perspect...

  8. Learners' Ensemble Based Security Conceptual Model for M-Learning System in Malaysian Higher Learning Institution

    Science.gov (United States)

    Mahalingam, Sheila; Abdollah, Faizal Mohd; Sahib, Shahrin

    2014-01-01

    M-Learning has a potential to improve efficiency in the education sector and has a tendency to grow advance and transform the learning environment in the future. Yet there are challenges in many areas faced when introducing and implementing m-learning. The learner centered attribute in mobile learning implies deployment in untrustworthy learning…

  9. An Ontology to Support the Classification of Learning Material in an Organizational Learning Environment: An Evaluation

    Science.gov (United States)

    Valaski, Joselaine; Reinehr, Sheila; Malucelli, Andreia

    2017-01-01

    Purpose: The purpose of this research was to evaluate whether ontology integrated in an organizational learning environment may support the automatic learning material classification in a specific knowledge area. Design/methodology/approach: An ontology for recommending learning material was integrated in the organizational learning environment…

  10. Decoding Ourselves: An Inquiry into Faculty Learning about Reciprocity in Service-Learning

    Science.gov (United States)

    Miller-Young, Janice; Dean, Yasmin; Rathburn, Melanie; Pettit, Jennifer; Underwood, Margot; Gleeson, Judy; Lexier, Roberta; Calvert, Victoria; Clayton, Patti

    2015-01-01

    Faculty learning about service-learning is an important area of research because understanding how faculty develop their practice is an important first step in improving student learning outcomes and relationships with community members. Enacting reciprocity in service-learning can be particularly troublesome because it requires faculty to learn…

  11. A Well Designed School Environment Facilitates Brain Learning.

    Science.gov (United States)

    Chan, Tak Cheung; Petrie, Garth

    2000-01-01

    Examines how school design facilitates learning by complementing how the brain learns. How the brain learns is discussed and how an artistic environment, spaciousness in the learning areas, color and lighting, and optimal thermal and acoustical environments aid student learning. School design suggestions conclude the article. (GR)

  12. Semantic modelling for learning styles and learning material in an e-learning environment

    OpenAIRE

    Alhasan, K.; Chen, Liming; Chen, Feng

    2017-01-01

    The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the URI link. Various learners with various requirements have led to the raise of a crucial concern in the area of e-learning. A new technology for propagating learning to learners worldwide, has led to an evolution in the e-learning industry that takes into account all the requirements of the learning process. In spite of the wide growing, the e-learning te...

  13. eLearning reconsidered

    DEFF Research Database (Denmark)

    Bang, Jørgen

    2006-01-01

    Looking back, the integration of the WWW in the Internet has been a success within almost every area of society: news distribution, public information, self-service, public relations, advertising, etc. Similar high expectations were also related to the introduction of e-learning in the educational...... area. But, so far, the success seems only to be related to informal learning through just-in-time and just-in-place short courses available on the Internet. In this article, I will focus on the development of virtual universities and discuss some reasons for the lack of success.  ...

  14. Implications of online learning for nurse managers.

    Science.gov (United States)

    McCarthy, Jillian

    2014-10-30

    Online learning for nurses is growing in popularity, with programmes ranging from mandatory update training to part-time master's degrees. E-learning, as it is known, offers flexibility in access to learning, study time and learning styles. In busy clinical areas, where guidance is provided on minimum nurse staffing levels, e-learning provides solutions for managers who wish to encourage professional development while maintaining adequate nursing cover. Caution must be taken, however, when choosing e-learning programmes, as quality and efficacy differ across the range. This article highlights the properties of good e-learning pedagogy to prepare nurse managers for successful assessment of these programmes.

  15. Perceptual learning and human expertise.

    Science.gov (United States)

    Kellman, Philip J; Garrigan, Patrick

    2009-06-01

    learning in areas such as aviation, mathematics, and medicine. Research in perceptual learning promises to advance scientific accounts of learning, and perceptual learning technology may offer similar promise in improving education.

  16. Perceptual learning and human expertise

    Science.gov (United States)

    Kellman, Philip J.; Garrigan, Patrick

    2009-06-01

    learning in areas such as aviation, mathematics, and medicine. Research in perceptual learning promises to advance scientific accounts of learning, and perceptual learning technology may offer similar promise in improving education.

  17. Mapping of topsoil organic carbon in agro-ecosystems of a flat terrain area (Lombardy) by means of legacy soil data, climatic data and NDVI time series predictors with machine learning methods

    Science.gov (United States)

    Schillaci, Calogero; Saia, Sergio; Braun, Andreas; Acutis, Marco

    2017-04-01

    the study area. The use of machine learning approach for the generation of a SOC map of the flat terrain agricultural topsoil of Lombardy using the regional soil database relies on two assumptions: (1) the slow change in the content of the stabilised soil organic matter (SOM) fraction, which is almost everywhere the most represented SOM fraction; and (2) the intrinsic low erosion rates due to the low mean slope. In particular, NDVI, which is related land cover and to the amount of biomass returned the soil, can have drawbacks when applied in cultivated fields. These drawbacks mainly concern the variability on crop biomass within and across the year. Notwithstanding, this issue makes NDVI very suitable for differentiating contrasting land use (e.g. field crops vs. orchards) when computed from images captured in particular crop cycle moments (e.g. in summer). However, the same issue reduces NDVI suitability to estimate the amount of biomass within each land use or when aiming at highly detailed resolution. Different grade of cloud cover were admitted to construct the average NDVI. Boosted regression trees were used to reveal the effect of each spatial covariate in predicting the SOC content. Preliminary results highlighted that the integration of the soil pedological classification and the mean NDVI improved the pixel classification in SOC classes according to crop type and management. As expected, climatic gradient played an important role in SOC modelling but did not affect the spatial resolution of the final map. In conclusion, SOC estimate strongly depends on sample density and homogeneity of distribution and the environmental heterogeneity. The lack of the strong topographical traits in flat terrain areas represents a challenge for soil mapping. In such conditions, the computation of a reliable biomass-related RS trait such as the mean NDVI can increase the prediction ability of the models and reduce the mapping biases. References Acutis, M., Alfieri, L., Giussani

  18. Repurposeable Learning Objects Linked to Teaching and Learning Styles

    Directory of Open Access Journals (Sweden)

    Jeremy Dunning

    2004-02-01

    Full Text Available Multimedia learning objects are an essential component of high quality, technology-mediated instruction. Learning objects allow the student to use the content learned in a particular part of a course and; 1. demonstrate mastery of the content, 2. apply that knowledge to solving a problem, and 3. use the content in a critical thinking exercise that both demonstrates mastery and allows the student to place the content within the context of the larger topic of the course. The difficulty associated with the use of learning objects on a broad scale is that they require programming skills most professors and instructors do not possess. Learning objects also tend to be custom productions and are defined in terms of the programming and code terminology, further limiting the professor's ability to understand how they are created. Learning objects defined in terms of styles of learning and teaching allow professors and instructors to develop a deeper understanding of the learning objects and the design process. A set of learning objects has been created that are designed for some of the important styles of learning and teaching. They include; visual learning, writing skills, critical thinking, time-revealed scenarios, case studies and empirical observation. The learning objects are designed and described in terms that the average instructor can readily understand , redesign and incorporate into their own courses. They are also designed in such a way that they can readily be repurposed for new applications in other courses and subject areas, with little or no additional programming.

  19. Peer-to-Peer Learning and the Army Learning Model

    Science.gov (United States)

    2012-06-08

    education will be delivered to the current and future force. This thesis examined the salient areas proposed by the ALM and its impact on P2P learning ...The Army Learning Model is the new educational model that develops adaptive leaders in an era of persistent conflict. Life-long, individual

  20. Lifelong Learning in Architectural Design Studio: The Learning Contract Approach

    Science.gov (United States)

    Hassanpour, B.; Che-Ani, A. I.; Usman, I. M. S.; Johar, S.; Tawil, N. M.

    2015-01-01

    Avant-garde educational systems are striving to find lifelong learning methods. Different fields and majors have tested a variety of proposed models and found varying difficulties and strengths. Architecture is one of the most critical areas of education because of its special characteristics, such as learning by doing and complicated evaluation…

  1. Machine learning in healthcare informatics

    CERN Document Server

    Acharya, U; Dua, Prerna

    2014-01-01

    The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.

  2. Learn, how to learn

    Science.gov (United States)

    Narayanan, M.

    2002-12-01

    Ernest L. Boyer, in his 1990 book, "Scholarship Reconsidered: Priorities of the Professorate" cites some ground breaking studies and offers a new paradigm that identifies the need to recognize the growing conversation about teaching, scholarship and research in the Universities. The use of `ACORN' model suggested by Hawkins and Winter to conquer and mastering change, may offer some helpful hints for the novice professor, whose primary objective might be to teach students to `learn how to learn'. Action : It is possible to effectively change things only when a teaching professor actually tries out a new idea. Communication : Changes are successful only when the new ideas effectively communicated and implemented. Ownership : Support for change is extremely important and is critical. Only strong commitment for accepting changes demonstrates genuine leadership. Reflection : Feedback helps towards thoughtful evaluation of the changes implemented. Only reflection can provide a tool for continuous improvement. Nurture : Implemented changes deliver results only when nurtured and promoted with necessary support systems, documentation and infrastructures. Inspired by the ACORN model, the author experimented on implementing certain principles of `Total Quality Management' in the classroom. The author believes that observing the following twenty principles would indeed help the student learners how to learn, on their own towards achieving the goal of `Lifelong Learning'. The author uses an acronym : QUOTES : Quality Underscored On Teaching Excellence Strategy, to describe his methods for improving classroom teacher-learner participation. 1. Break down all barriers. 2. Create consistency of purpose with a plan. 3. Adopt the new philosophy of quality. 4. Establish high Standards. 5. Establish Targets / Goals. 6. Reduce dependence on Lectures. 7. Employ Modern Methods. 8. Control the Process. 9. Organize to reach goals. 10. Prevention vs. Correction. 11. Periodic Improvements. 12

  3. Intentional Learning Vs Incidental Learning

    OpenAIRE

    Shahbaz Ahmed

    2017-01-01

    This study is conducted to demonstrate the knowledge of intentional learning and incidental learning. Hypothesis of this experiment is intentional learning is better than incidental learning, participants were demonstrated and were asked to learn the 10 non sense syllables in a specific sequence from the colored cards in the end they were asked to recall the background color of each card instead of non-sense syllables. Independent variables of the experiment are the colored cards containing n...

  4. Posthuman learning

    DEFF Research Database (Denmark)

    Hasse, Cathrine

    This book shall explore the concept of learning from the new perspective of the posthuman. The vast majority of cognitive, behavioral and part of the constructionist learning theories operate with an autonomous individual who learn in a world of separate objects. Technology is (if mentioned at all......) understood as separate from the individual learner and perceived as tools. Learning theory has in general not been acknowledging materiality in their theorizing about what learning is. A new posthuman learning theory is needed to keep up with the transformations of human learning resulting from new...... technological experiences. One definition of learning is that it is a relatively permanent change in behavior as the result of experience. During the first half of the twentieth century, two theoretical approaches dominated the domain of learning theory: the schools of thought commonly known as behaviorism...

  5. Mindfulness Practices and Learning Economics

    Science.gov (United States)

    Borker, David R.

    2013-01-01

    There is a growing interest among educators in teaching and learning practices based on mindfulness, a concept derived from eastern meditative traditions. This paper describes how mindfulness practices and concepts can be used to enhance the student's learning experience in beginning economics courses. Specific areas with a high potential for…

  6. Organizational Learning and Crisis Management

    Science.gov (United States)

    Wang, Jia

    2007-01-01

    The impact of crises on organizations has been stronger than ever. This article explores the role of organizational learning in crisis management, an area that has received little attention from HRD community. Recognizing the dynamics and interconnectedness of crisis management, organizational learning, and organizational change, the article…

  7. How Adults Learn. Revised Edition.

    Science.gov (United States)

    Kidd, J. R.

    The book's emphasis is on learning during the years of adulthood and examines present-day practice of adult education for practitioners. This revised edition brings up to date advances in such areas of learning as controversial theory; the effects of environment; sensory processes; intellectual capacities; motivation and attitude; transactional…

  8. Libre learning: OER and equality

    CSIR Research Space (South Africa)

    Tucker, K

    2007-09-01

    Full Text Available This presentation discusses open education resources, educational projects in rural areas, enabling communities to empower themselves with knowledge etc. The MobilED (mobile education) initiative is aimed at designing learning and teaching...

  9. Learning e-Learning

    Directory of Open Access Journals (Sweden)

    Gabriel ZAMFIR

    2009-01-01

    Full Text Available What You Understand Is What Your Cognitive Integrates. Scientific research develops, as a native environment, knowledge. This environment consists of two interdependent divisions: theory and technology. First division occurs as a recursive research, while the second one becomes an application of the research activity. Over time, theories integrate methodologies and technology extends as infrastructure. The engine of this environment is learning, as the human activity of knowledge work. The threshold term of this model is the concepts map; it is based on Bloom’ taxonomy for the cognitive domain and highlights the notion of software scaffolding which is grounded in Vygotsky’s Social Development Theory with its major theme, Zone of Proximal Development. This article is designed as a conceptual paper, which analyzes specific structures of this type of educational research: the model reflects a foundation for a theory and finally, the theory evolves as groundwork for a system. The outcomes of this kind of approach are the examples, which are, theoretically, learning outcomes, and practically exist as educational objects, so-called e-learning.

  10. BIBLIOGRAPHY ON VERBAL LEARNING.

    Science.gov (United States)

    Harvard Univ., Cambridge, MA. Graduate School of Education.

    THIS BIBLIOGRAPHY LISTS MATERIAL ON VARIOUS ASPECTS OF VERBAL LEARNING. APPROXIMATELY 50 UNANNOTATED REFERENCES ARE PROVIDED TO DOCUMENTS DATING FROM 1960 TO 1965. JOURNALS, BOOKS, AND REPORT MATERIALS ARE LISTED. SUBJECT AREAS INCLUDED ARE CONDITIONING, VERBAL BEHAVIOR, PROBLEM SOLVING, SEMANTIC SATIATION, STIMULUS DURATION, AND VERBAL…

  11. Project Management Approaches for Online Learning Design

    Science.gov (United States)

    Eby, Gulsun; Yuzer, T. Volkan

    2013-01-01

    Developments in online learning and its design are areas that continue to grow in order to enhance students' learning environments and experiences. However, in the implementation of new technologies, the importance of properly and fairly overseeing these courses is often undervalued. "Project Management Approaches for Online Learning Design"…

  12. Blended Learning

    NARCIS (Netherlands)

    Van der Baaren, John

    2009-01-01

    Van der Baaren, J. (2009). Blended Learning. Presentation given at the Mini symposium 'Blended Learning the way to go?'. November, 5, 2009, The Hague, The Netherlands: Netherlands Defence Academy (NDLA).

  13. Interface learning

    DEFF Research Database (Denmark)

    Thorhauge, Sally

    2014-01-01

    "Interface learning - New goals for museum and upper secondary school collaboration" investigates and analyzes the learning that takes place when museums and upper secondary schools in Denmark work together in local partnerships to develop and carry out school-related, museum-based coursework...... for students. The research focuses on the learning that the students experience in the interface of the two learning environments: The formal learning environment of the upper secondary school and the informal learning environment of the museum. Focus is also on the learning that the teachers and museum...... professionals experience as a result of their collaboration. The dissertation demonstrates how a given partnership’s collaboration affects the students’ learning experiences when they are doing the coursework. The dissertation presents findings that museum-school partnerships can use in order to develop...

  14. Learning Disabilities

    Science.gov (United States)

    ... books. While his friends were meeting for pickup soccer games after school, he was back home in ... sometimes thought to contribute to learning disabilities. Poor nutrition early in life also may lead to learning ...

  15. Workplace learning

    DEFF Research Database (Denmark)

    Warring, Niels

    2005-01-01

    In November 2004 the Research Consortium on workplace learning under Learning Lab Denmark arranged the international conference “Workplace Learning – from the learner’s perspective”. The conference’s aim was to bring together researchers from different countries and institutions to explore...... and discuss recent developments in our understanding of workplace and work-related learning. The conference had nearly 100 participants with 59 papers presented, and among these five have been selected for presentation is this Special Issue....

  16. Children's Learning

    Science.gov (United States)

    Siegler, Robert S.

    2005-01-01

    A new field of children's learning is emerging. This new field differs from the old in recognizing that children's learning includes active as well as passive mechanisms and qualitative as well as quantitative changes. Children's learning involves substantial variability of representations and strategies within individual children as well as…

  17. Blended Learning

    Science.gov (United States)

    Imbriale, Ryan

    2013-01-01

    Teachers always have been and always will be the essential element in the classroom. They can create magic inside four walls, but they have never been able to create learning environments outside the classroom like they can today, thanks to blended learning. Blended learning allows students and teachers to break free of the isolation of the…

  18. Transformative Learning

    Science.gov (United States)

    Wang, Victor C. X.; Cranton, Patricia

    2011-01-01

    The theory of transformative learning has been explored by different theorists and scholars. However, few scholars have made an attempt to make a comparison between transformative learning and Confucianism or between transformative learning and andragogy. The authors of this article address these comparisons to develop new and different insights…

  19. Blended Learning

    OpenAIRE

    Bauerová, Andrea

    2013-01-01

    This thesis is focused on a new approach of education called blended learning. The history and developement of Blended Learning is described in the first part. Then the methods and tools of Blended Learning are evaluated and compared to the traditional methods of education. At the final part an efficient developement of the educational programs is emphasized.

  20. Just Learning

    Science.gov (United States)

    Larsen-Freeman, Diane

    2017-01-01

    In this "First Person Singular" essay, the author describes her education, teaching experience, and interest in understanding the learning of language. Anyone reading this essay will not be surprised to learn that the author's questions about language learning and optimal teaching methods were only met with further questions, and no…

  1. Learning Networks for Lifelong Learning

    OpenAIRE

    Sloep, Peter

    2009-01-01

    Presentation in a seminar organized by Christopher Hoadley at Penn State University, October 2004.Contains general introduction into the Learning Network Programme and a demonstration of the Netlogo Simulation of a Learning Network.

  2. Blended Learning: enabling Higher Education Reform

    Directory of Open Access Journals (Sweden)

    Kathleen Matheos

    2018-01-01

    Full Text Available Blended learning research and practice have been areas of growth for two decades in Canada, with over 95% of Canadian higher education institutions involved in some form of blended learning. Despite strong evidence based research and practice blended learning, for the most part, has remained at sidelined in Canadian universities. The article argues the need for blended learning to situate itself within the timely and crucial Higher Education Reform (HER agenda. By aligning the affordances of blended learning with the components of HER, blended learning can clearly serve as an enabler for HER.

  3. Learning organisations

    Directory of Open Access Journals (Sweden)

    Sabina Jelenc Krašovec

    2000-12-01

    Full Text Available A vast array of economical, social, political, cultural and other factors influences the transformed role of learning and education in the society, as well as the functioning of local community and its social and communication patterns. The influences which are manifested as global problems can only be successfully solved on the level of local community. Analogously with the society in general, there is a great need of transforming a local community into a learning, flexible and interconnected environment which takes into account different interests, wishes and needs regarding learning and being active. The fundamental answer to changes is the strategy of lifelong learning and education which requires reorganisation of all walks of life (work, free time, family, mass media, culture, sport, education and transforming of organisations into learning organisations. With learning society based on networks of knowledge individuals are turning into learning individuals, and organisations into learning organisations; people who learn take the responsibility of their progress, learning denotes partnership among learning people, teachers, parents, employers and local community, so that they work together to achieve better results.

  4. Learning Opportunities for Group Learning

    Science.gov (United States)

    Gil, Alfonso J.; Mataveli, Mara

    2017-01-01

    Purpose: This paper aims to analyse the impact of organizational learning culture and learning facilitators in group learning. Design/methodology/approach: This study was conducted using a survey method applied to a statistically representative sample of employees from Rioja wine companies in Spain. A model was tested using a structural equation…

  5. Mimetic Learning

    Directory of Open Access Journals (Sweden)

    Christoph Wulf

    2008-03-01

    Full Text Available Mimetic learning, learning by imitation, constitutes one of the most important forms of learning. Mimetic learning does not, however, just denote mere imitation or copying: Rather, it is a process by which the act of relating to other persons and worlds in a mimetic way leads to an en-hancement of one’s own world view, action, and behaviour. Mimetic learning is productive; it is related to the body, and it establishes a connection between the individual and the world as well as other persons; it creates practical knowledge, which is what makes it constitutive of social, artistic, and practical action. Mimetic learning is cultural learning, and as such it is crucial to teaching and education (Wulf, 2004; 2005.

  6. Deep learning

    CERN Document Server

    Goodfellow, Ian; Courville, Aaron

    2016-01-01

    Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language proces...

  7. A View on Electronic Learning Portals

    OpenAIRE

    Zavaraqi, Rasoul

    2009-01-01

    Portals are less than a decade old. They have come to cover are areas of electronic services, including electronic learning. With their efficient communication and information capabilities, these portals are capable of realizing novel learning concepts such as structuralism, active and cooperative learning. The present paper endeavors to discuss the latest understanding, theories and concepts regarding E-learning portals and to review the issues and steps that should be considered in designin...

  8. LEARNING AND E-MATERIALS

    Directory of Open Access Journals (Sweden)

    Barbara Bajd

    2009-03-01

    Full Text Available This paper addresses the use of e-materials in learning. Under pressure from the public,which is becoming increasingly conversant with IT, schools and also other non-formal types of learning are changing into e-classrooms and e-learning. Among parents and teachers, too, there is a widespread opinion that e-learning is more motivating and is more effective. On the other hand, a mass of research shows that e-materials are more effective only in specific areas, where a multimedia approach is needed, for instance in ophthalmic surgery, while everywhere else they are comparable to traditional teaching and learning in terms of both effectiveness and motivation. The paper also highlights the methodological problems of measuring motivation and learning success. Finally it presents e-material which was created taking into account the results of research in this field.

  9. Emerging Paradigms in Machine Learning

    CERN Document Server

    Jain, Lakhmi; Howlett, Robert

    2013-01-01

    This  book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The  multidisciplinary nature of machine learning makes it a very fascinating and popular area for research.  The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems.  Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary ...

  10. Examining the Learning Requirements of General Practitioner Courses in the Areas of Cognitive, Psychological-Motor and Emotion from the Perspective of Professors of Kurdistan University of Medical Sciences

    Directory of Open Access Journals (Sweden)

    Fariba Farhadifar

    2013-08-01

    Full Text Available Introduction: It is necessary to analyze the limitations and essentials of the medical students’ learning compatible with their future working environment in order to control the quality of the education. This study was designed to investigate the basics of learning and to prepare educational logbooks for all clinical departments at Kurdistan University of Medical Sciences in line with promotion of educational and students’ assessment. Methods: This study was carried out in three phases. In the first phase, content was confirmed according to the expert views. In the second phase, materials were analyzed in terms of being core and non-core. In the third phase, prioritized subjects were summarized and locations selected for teaching each skill, rotation style, regulations and responsibilities of the students, assessment method and group’s expectations from students were determined. The data were analyzed by analytic hierarchy process (AHP, comparison of the content of materials and qualitative methods.Results: All the faculty members considered capabilities such as taking the patient’s history, physical examination, diagnostic decision, patient’s referral skills, and appropriate relationship with patient and colleagues as the priorities of education. In addition, 93% of the faculty members added the interpretation of laboratory tests to the given list. Conclusion: In this model, the main focus was on the content and process of education. It seems necessary, however, to pay attention to other issues like student’s motivational and research factors during designing the parallel patterns.

  11. Wavefront cellular learning automata.

    Science.gov (United States)

    Moradabadi, Behnaz; Meybodi, Mohammad Reza

    2018-02-01

    This paper proposes a new cellular learning automaton, called a wavefront cellular learning automaton (WCLA). The proposed WCLA has a set of learning automata mapped to a connected structure and uses this structure to propagate the state changes of the learning automata over the structure using waves. In the WCLA, after one learning automaton chooses its action, if this chosen action is different from the previous action, it can send a wave to its neighbors and activate them. Each neighbor receiving the wave is activated and must choose a new action. This structure for the WCLA is necessary in many dynamic areas such as social networks, computer networks, grid computing, and web mining. In this paper, we introduce the WCLA framework as an optimization tool with diffusion capability, study its behavior over time using ordinary differential equation solutions, and present its accuracy using expediency analysis. To show the superiority of the proposed WCLA, we compare the proposed method with some other types of cellular learning automata using two benchmark problems.

  12. Wavefront cellular learning automata

    Science.gov (United States)

    Moradabadi, Behnaz; Meybodi, Mohammad Reza

    2018-02-01

    This paper proposes a new cellular learning automaton, called a wavefront cellular learning automaton (WCLA). The proposed WCLA has a set of learning automata mapped to a connected structure and uses this structure to propagate the state changes of the learning automata over the structure using waves. In the WCLA, after one learning automaton chooses its action, if this chosen action is different from the previous action, it can send a wave to its neighbors and activate them. Each neighbor receiving the wave is activated and must choose a new action. This structure for the WCLA is necessary in many dynamic areas such as social networks, computer networks, grid computing, and web mining. In this paper, we introduce the WCLA framework as an optimization tool with diffusion capability, study its behavior over time using ordinary differential equation solutions, and present its accuracy using expediency analysis. To show the superiority of the proposed WCLA, we compare the proposed method with some other types of cellular learning automata using two benchmark problems.

  13. FHFA Underserved Areas

    Data.gov (United States)

    Department of Housing and Urban Development — Federal Housing Finance Agency's (FHFA) Underserved Areas establishes underserved area designations for census tracts in Metropolitan Areas (MSAs), nonmetropolitan...

  14. Learning Disabilities and ADHD

    Science.gov (United States)

    ... of illnesses and disabilities Learning disabilities and ADHD Learning disabilities and ADHD Learning disabilities affect how you ... ADHD. Learning disabilities Attention deficit hyperactivity disorder (ADHD) Learning disabilities top Having a learning disability does not ...

  15. Clojure for machine learning

    CERN Document Server

    Wali, Akhil

    2014-01-01

    A book that brings out the strengths of Clojure programming that have to facilitate machine learning. Each topic is described in substantial detail, and examples and libraries in Clojure are also demonstrated.This book is intended for Clojure developers who want to explore the area of machine learning. Basic understanding of the Clojure programming language is required, but thorough acquaintance with the standard Clojure library or any libraries are not required. Familiarity with theoretical concepts and notation of mathematics and statistics would be an added advantage.

  16. A Review of Adventure Learning

    Directory of Open Access Journals (Sweden)

    George Veletsianos

    2009-12-01

    Full Text Available Adventure learning (AL is an approach for the design of digitally-enhanced teaching and learning environments driven by a framework of guidelines grounded on experiential and inquiry-based education. The purpose of this paper is to review the adventure learning literature and to describe the status quo of the practice by identifying the current knowledge, misconceptions, and future opportunities in adventure learning. Specifically, the authors present an integrative analysis of the adventure learning literature, identify knowledge gaps, present future research directions, and discuss research methods and approaches that may improve the AL approach.The authors engaged in a systematic search strategy to identify adventure learning studies then applied a set of criteria to decide whether to include or exclude each study. Results from the systematic review were combined, analyzed, and critiqued inductively using the constant comparative method and weaved together using the qualitative metasynthesis approach.Results indicate the appeal and promise of the adventure learning approach. Nevertheless, the authors recommend further investigation of the approach. Along with studies that investigate learning outcomes, aspects of the AL approach that are engaging, and the nature of expert-learner collaboration, future adventure learning projects that focus on higher education and are (a small and (b diverse can yield significant knowledge into adventure learning. Research and design in this area will benefit by taking an activity theory and design-based research perspective.

  17. Toward an Instructionally Oriented Theory of Example-Based Learning

    Science.gov (United States)

    Renkl, Alexander

    2014-01-01

    Learning from examples is a very effective means of initial cognitive skill acquisition. There is an enormous body of research on the specifics of this learning method. This article presents an instructionally oriented theory of example-based learning that integrates theoretical assumptions and findings from three research areas: learning from…

  18. Strategies for Better Learning of English Grammar: Chinese vs. Thais

    Science.gov (United States)

    Supakorn, Patnarin; Feng, Min; Limmun, Wanida

    2018-01-01

    The success of language learning significantly depends on multiple sets of complex factors; among these are language-learning strategies of which learners in different countries may show different preferences. Needed areas of language learning strategy research include, among others, the strategy of grammar learning and the context-based approach…

  19. The Value of Significant Learning Strategies in Undergraduate Education

    Science.gov (United States)

    Coco, Charles M.

    2012-01-01

    Learning taxonomies can assist faculty in developing course structures that promote enhanced student learning in the cognitive and affective domains. Significant Learning is one approach to course design that allows for development in six key areas: Foundational Knowledge, Application, Integration, Human Dimension, Caring, and Learning How to…

  20. The problem with areas: Asia and Area studies

    Directory of Open Access Journals (Sweden)

    Victor T. King

    2012-09-01

    Full Text Available Review of:Goh Beng Lan (ed., Decentring & diversifying Southeast Asian Studies: Perspectives from the region. Singapore: ISEAS, 2011, xiii + 304 pp. ISBN 9789814311564, price: USD 34.90 (paperback; 9789814311571, USD 45.90 (hardback.Terence Wesley-Smith and Jon Goss (eds, Remaking Area studies: Teaching and learning across Asia and the Pacific. Honolulu: University of Hawai‘i Press, 2010, xxvii + 243 pp. ISBN 9780824833213. Price: USD 45.00 (hardback.Jacob Edmond, Henry Johnson and Jacqueline Leckie (eds, Recentring Asia: Histories, encounters, identities, xv + 339 pp. Leiden/Boston: Brill, Global Oriental: 2011. ISBN 9781906876258. Price: EUR 80.00 (hardback.

  1. Researches on Learning Disabilities--Where Are We?

    Science.gov (United States)

    Raja, B. William Dharma; Kumar, S. Praveen

    2011-01-01

    This article focusses on the review of research studies done on the area of learning disabilities and the need to conduct more research studies in this area. School children are seen to have different types of learning difficulties with regard to academics. Children with learning disability, who occupy the largest number receiving special…

  2. Class 1 Areas

    Data.gov (United States)

    U.S. Environmental Protection Agency — A "Class 1" area is a geographic area recognized by the EPA as being of the highest environmental quality and requiring maximum protection. Class I areas are areas...

  3. Machine Learning

    CERN Multimedia

    CERN. Geneva

    2017-01-01

    Machine learning, which builds on ideas in computer science, statistics, and optimization, focuses on developing algorithms to identify patterns and regularities in data, and using these learned patterns to make predictions on new observations. Boosted by its industrial and commercial applications, the field of machine learning is quickly evolving and expanding. Recent advances have seen great success in the realms of computer vision, natural language processing, and broadly in data science. Many of these techniques have already been applied in particle physics, for instance for particle identification, detector monitoring, and the optimization of computer resources. Modern machine learning approaches, such as deep learning, are only just beginning to be applied to the analysis of High Energy Physics data to approach more and more complex problems. These classes will review the framework behind machine learning and discuss recent developments in the field.

  4. Doing learning

    DEFF Research Database (Denmark)

    Mathiasen, John Bang; Koch, Christian

    2014-01-01

    Purpose: To investigate how learning occurs in a systems development project, using a company developing wind turbine control systems in collaboration with customers as case. Design/methodology/approach: Dewey’s approach to learning is used, emphasising reciprocity between the individual...... learning processes and that the interchanges between materiality and systems developers block the learning processes due to a customer with imprecise demands and unclear system specifications. In the four cases discussed, learning does occur however. Research limitations/implications: A qualitative study...... focusing on individual systems developers gives limited insight into whether the learning processes found would occur in other systems development processes. Practical implications: Managers should ensure that constitutive means, such as specifications, are available, and that they are sufficiently...

  5. Call for action for setting up an infectious disease control action plan for disaster area activities: learning from the experience of checking suffering volunteers in the field after the Great East Japan Earthquake.

    Science.gov (United States)

    Takahashi, Kenzo; Kodama, Mitsuya; Kanda, Hideyuki

    2013-12-01

    After the Great East Japan Earthquake on March 11th, 2011, a journalist visited the disaster area with febrile symptoms and was diagnosed with measles of the D genotype, which is not indigenous to Japan. After continuing activities in disaster areas and Tokyo, 11 measles cases were reported, some of which were identified as genotype D. Meanwhile non-profit activities directed towards volunteers were offered including interviews to screen for subjective symptoms, check body temperature and advise volunteers to refrain from working in shelter areas during the period of sickness. As a consequence, disease transmission was controlled among volunteers. In disaster areas, anyone can be an infection vector. In order to prevent transmission of infectious diseases, a field action plan, which includes body temperature checks and standard precautions should be formulated and put into place. If the action plans are shared among local governments and non-governmental organizations (NGOs), they can become a norm and be expected to control infectious disease transmission.

  6. La enseñanza-aprendizaje de la investigación cualitativa en el medio sanitario Teaching and learning the science of qualitative research in the health area

    Directory of Open Access Journals (Sweden)

    Carlos Calderón

    2012-03-01

    Full Text Available La IC constituye una perspectiva de conocimiento necesaria en el medio sanitario. El trabajo asistencial se lleva a cabo siempre en contextos complejos y su mejora requiere de metodologías de investigación que asuman dicha complejidad. Sin embargo, el conocimiento y la puesta en práctica de la investigación cualitativa (IC en los servicios de salud continúan siendo muy limitados. Entre los diversos factores que condicionan su desarrollo, la enseñanza-aprendizaje (E-A de la IC resulta fundamental, y no sólo a nivel de pre-grado. Los profesionales y el medio sanitario presentan determinadas particularidades que han de ser tenidas en cuenta en el diseño y desarrollo de la E-A orientada a dicho campo. A partir de una experiencia formativa on-line durante ocho años para profesionales de Atención Primaria, se discuten los principales retos identificados al respecto.Qualitative research constitutes a necessary perspective of knowledge within the field of health services. Healthcare always occurs in complex contexts and its enhancement requires research methodologies that address this complexity. Nevertheless, the knowledge and use of qualitative research in health services is still very limited. Among the different factors that affect its development, the teaching and learning of qualitative research proves to be fundamental, even beyond undergraduate education. Healthcare professionals and health services present certain specific aspects that must be considered in the design and development of the teaching and learning of qualitative research. Based on an eight-year online training experience with Primary Healthcare professionals, the main challenges are indentified and discussed.

  7. Mislabeled Reading and Learning Disabilities: Assessment and Treatment for Reading Difficulties in Students with Learning Disabilities

    Science.gov (United States)

    Sze, Susan

    2009-01-01

    Reading affects a plethora of areas in life. Students with learning disabilities often fall into this category due to a lack of practice with reading and less time to focus on building skills. This paper examines the background, the relationship between reading and learning disabilities, the characteristics of students with learning disabilities…

  8. Undergraduate Students' Earth Science Learning: Relationships among Conceptions, Approaches, and Learning Self-Efficacy in Taiwan

    Science.gov (United States)

    Shen, Kuan-Ming; Lee, Min-Hsien; Tsai, Chin-Chung; Chang, Chun-Yen

    2016-01-01

    In the area of science education research, studies have attempted to investigate conceptions of learning, approaches to learning, and self-efficacy, mainly focusing on science in general or on specific subjects such as biology, physics, and chemistry. However, few empirical studies have probed students' earth science learning. This study aimed to…

  9. The Effect of Socially Shared Regulation Approach on Learning Performance in Computer-Supported Collaborative Learning

    Science.gov (United States)

    Zheng, Lanqin; Li, Xin; Huang, Ronghuai

    2017-01-01

    Students' abilities to socially shared regulation of their learning are crucial to productive and successful collaborative learning. However, how group members sustain and regulate collaborative processes is a neglected area in the field of collaborative learning. Furthermore, how group members engage in socially shared regulation still remains to…

  10. Teaching and Learning: Using Experiential Learning and Reflection for Leadership Education

    Science.gov (United States)

    Guthrie, Kathy L.; Jones, Tamara Bertrand

    2012-01-01

    Leadership experiences, arguably some of the most significant developmental opportunities in college, are ripe for helping students move from mere engagement to making meaning of and learning from their leadership experience. The International Learning Association's teaching and learning area asks: "what methods are most appropriate to ensure…

  11. Learning from Toyota: How Action Learning Can Foster Competitive Advantage in New Product Development (NPD)

    Science.gov (United States)

    Fuchs, Barbara

    2007-01-01

    New product development and commercialization are essential to entrepreneurial growth and international competitiveness. Excellence in this area is strongly supported by individual and organizational learning efforts. By analyzing how Japanese car manufacturer Toyota organizes learning, this paper evaluates the potential of action learning to…

  12. Resolving the Problem of Intelligent Learning Content in Learning Management Systems

    Science.gov (United States)

    Rey-Lopez, Marta; Brusilovsky, Peter; Meccawy, Maram; Diaz-Redondo, Rebeca; Fernandez-Vilas, Ana; Ashman, Helen

    2008-01-01

    Current e-learning standardization initiatives have put much effort into easing interoperability between systems and the reusability of contents. For this to be possible, one of the most relevant areas is the definition of a run-time environment, which allows Learning Management Systems to launch, track and communicate with learning objects.…

  13. Improving Learning Analytics--Combining Observational and Self-Report Data on Student Learning

    Science.gov (United States)

    Ellis, Robert A.; Han, Feifei; Pardo, Abelardo

    2017-01-01

    The field of education technology is embracing a use of learning analytics to improve student experiences of learning. Along with exponential growth in this area is an increasing concern of the interpretability of the analytics from the student experience and what they can tell us about learning. This study offers a way to address some of the…

  14. Metric learning

    CERN Document Server

    Bellet, Aurelien; Sebban, Marc

    2015-01-01

    Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. In this book, we provide a thorough review of the metric learnin

  15. Health Barriers to Learning

    Directory of Open Access Journals (Sweden)

    Delaney Gracy

    2014-01-01

    Full Text Available This article summarizes the results from a 2013 online survey with 408 principals and assistant principals in New York City public elementary and middle schools. The survey assessed three primary areas: health issues in the school, health issues perceived as barriers to learning for affected students, and resources needed to address these barriers. Eighteen of the 22 health conditions listed in the survey were considered a moderate or serious issue within their schools by at least 10% of respondents. All 22 of the health issues were perceived as a barrier to learning by between 12% and 87% of the respondents. Representatives from schools that serve a higher percentage of low-income students reported significantly higher levels of concern about the extent of health issues and their impact on learning. Respondents most often said they need linkages with organizations that can provide additional services and resources at the school, especially for mental health.

  16. E-learning Paradigms and The Development of E-learning Strategy

    DEFF Research Database (Denmark)

    Duus, Henrik Johannsen

    2006-01-01

    The e-learning area is characterized by a magnitude of different products, systems and approaches. The variations can also be observed in differences in the views and notions of e-learning among business people, researchers and journalists. This article attempts to disentangle the area by using...... economic and sociological theories, the theories of marketing management and strategy as well as practical experience gained by the author while working with leading edge suppliers of e-learning. On this basis, a distinction between knowledge creation e-learning and knowledge transfer e-learning....... The selection of which paradigm to use in the development of an e-learning strategy may prove crucial for success. Implications for the development of an e-learning strategy in businesses and learning institutions are outlined....

  17. Learning to learn in MOOCs

    DEFF Research Database (Denmark)

    Milligan, Sandra; Ringtved, Ulla Lunde

    This paper outlines one way of understanding what it is about learning in MOOCs that is so distinctive, and explores the implications for the design of MOOCs. It draws on an ongoing research study into the nature of learning in MOOCs at the University of Melbourne.......This paper outlines one way of understanding what it is about learning in MOOCs that is so distinctive, and explores the implications for the design of MOOCs. It draws on an ongoing research study into the nature of learning in MOOCs at the University of Melbourne....

  18. Lessons learned related to packaging and transportation

    International Nuclear Information System (INIS)

    Wallen, C.

    1995-01-01

    The use of lessons learned as a tool for learning from past experiences is well established, especially by many organizations within the nuclear industry. Every person has, at some time, used the principles of lessons learned to adopt good work practices based on their own experiences or the experiences of others. Lessons learned can also help to avoid the recurrence of adverse practices, which is often an area that most lessons-learned programs tend to focus on. This paper will discuss how lessons learned relate to packaging and transportation issues and events experienced at Department of Energy (DOE) facilities. It will also discuss the role performed by the Office of Nuclear and Facility Safety's Office of Operating Experience Analysis and Feedback in disseminating lessons learned and operating experience feedback to the DOE complex. The central concept of lessons learned is that any organization should be able to learn from its own experiences and events. In addition, organizations should implement methodologies to scan external environments for lessons learned, to analyze and determine the relevance of lessons learned, and to bring about the necessary changes learned from these experiences. With increased concerns toward facility safety, the importance of utilizing the lessons-learned principles and the establishment of lessons-learned programs can not be overstated

  19. Students’ Motivation for Learning in Virtual Learning Environments

    Directory of Open Access Journals (Sweden)

    Andrea Carvalho Beluce

    2015-04-01

    Full Text Available The specific characteristics of online education require of the student engagement and autonomy, factors which are related to motivation for learning. This study investigated students’ motivation in virtual learning environments (VLEs. For this, it used the Teaching and Learning Strategy and Motivation to Learn Scale in Virtual Learning Environments (TLSM-VLE. The scale presented 32 items and six dimensions, three of which aimed to measure the variables of autonomous motivation, controlled motivation, and demotivation. The participants were 572 students from the Brazilian state of Paraná, enrolled on higher education courses on a continuous education course. The results revealed significant rates for autonomous motivational behavior. It is considered that the results obtained may provide contributions for the educators and psychologists who work with VLEs, leading to further studies of the area providing information referent to the issue investigated in this study.

  20. Constructing an Overarching Framework for Learning--Connecting the Dots

    Science.gov (United States)

    Amey, Marilyn J.

    2014-01-01

    This chapter highlights a variety of ways researchers use learning theories with respect to different stakeholder groups. The chapter brings together common themes across these areas and proposes ways to use these ideas for future research on learning.

  1. Learning Cultures

    DEFF Research Database (Denmark)

    Rasmussen, Lauge Baungaard

    1998-01-01

    the article present different concepts and modelsof learning. It discuss some strutural tendenciesof developing environmental management systemsand point out alternatives to increasing formalization of rules.......the article present different concepts and modelsof learning. It discuss some strutural tendenciesof developing environmental management systemsand point out alternatives to increasing formalization of rules....

  2. Blended learning

    DEFF Research Database (Denmark)

    Staugaard, Hans Jørgen

    2012-01-01

    Forsøg på at indkredse begrebet blended learning i forbindelse med forberedelsen af projekt FlexVid.......Forsøg på at indkredse begrebet blended learning i forbindelse med forberedelsen af projekt FlexVid....

  3. Reflective Learning

    African Journals Online (AJOL)

    dell

    The main intent of this study was to identify the impact of using learning log as a learning strategy on the academic performance of university students. Second year psychology students were included as subjects of this study. In the beginning of the study, the students were divided into two: experimental group (N = 60) and ...

  4. Perceptual learning.

    Science.gov (United States)

    Seitz, Aaron R

    2017-07-10

    Perceptual learning refers to how experience can change the way we perceive sights, sounds, smells, tastes, and touch. Examples abound: music training improves our ability to discern tones; experience with food and wines can refine our pallet (and unfortunately more quickly empty our wallet), and with years of training radiologists learn to save lives by discerning subtle details of images that escape the notice of untrained viewers. We often take perceptual learning for granted, but it has a profound impact on how we perceive the world. In this Primer, I will explain how perceptual learning is transformative in guiding our perceptual processes, how research into perceptual learning provides insight into fundamental mechanisms of learning and brain processes, and how knowledge of perceptual learning can be used to develop more effective training approaches for those requiring expert perceptual skills or those in need of perceptual rehabilitation (such as individuals with poor vision). I will make a case that perceptual learning is ubiquitous, scientifically interesting, and has substantial practical utility to us all. Copyright © 2017. Published by Elsevier Ltd.

  5. Pervasive Learning

    DEFF Research Database (Denmark)

    Helms, Niels Henrik; Larsen, Lasse Juel

    2009-01-01

    , it is not a specific place where you can access scarce information. Pervasive or ubiquitous communication opens up for taking the organizing and design of learning landscapes a step further. Furthermore it calls for theoretical developments, which can open up for a deeper understanding of the relationship between...... emerging contexts, design of contexts and learning....

  6. Flipped Learning

    DEFF Research Database (Denmark)

    Holmboe, Peter; Hachmann, Roland

    I FLIPPED LEARNING – FLIP MED VIDEO kan du læse om, hvordan du som underviser kommer godt i gang med at implementere video i undervisning, der har afsæt i tankerne omkring flipped learning. Bogen indeholder fire dele: I Del 1 fokuserer vi på det metarefleksive i at tænke video ind i undervisningen...

  7. Flipped Learning

    DEFF Research Database (Denmark)

    Hachmann, Roland; Holmboe, Peter

    arbejde med faglige problemstillinger gennem problembaserede og undersøgende didaktiske designs. Flipped Learning er dermed andet og mere end at distribuere digitale materialer til eleverne forud for undervisning. Flipped Learning er i lige så høj grad et syn på, hvordan undervisning med digitale medier...

  8. Situating learning

    DEFF Research Database (Denmark)

    Ribeiro, Gustavo; Georg, Susse; Finchman, Rob

    2004-01-01

    This paper looks at learning experiences in South Africa and Thailand by highlighting the role of context and culture in the learning process. The authors are based at Danish and South African higher education institutions and have contributed to DUCED's TFS programme in the positions of overall...

  9. Embodied Learning

    Science.gov (United States)

    Stolz, Steven A.

    2015-01-01

    This article argues that psychological discourse fails miserably to provide an account of learning that can explain how humans come to understand, particularly understanding that has been grasped meaningfully. Part of the problem with psychological approaches to learning is that they are disconnected from the integral role embodiment plays in how…

  10. Distance learning

    Directory of Open Access Journals (Sweden)

    Katarina Pucelj

    2006-12-01

    Full Text Available I would like to underline the role and importance of knowledge, which is acquired by individuals as a result of a learning process and experience. I have established that a form of learning, such as distance learning definitely contributes to a higher learning quality and leads to innovative, dynamic and knowledgebased society. Knowledge and skills enable individuals to cope with and manage changes, solve problems and also create new knowledge. Traditional learning practices face new circumstances, new and modern technologies appear, which enable quick and quality-oriented knowledge implementation. The centre of learning process at distance learning is to increase the quality of life of citizens, their competitiveness on the workforce market and ensure higher economic growth. Intellectual capital is the one, which represents the biggest capital of each society and knowledge is the key factor for succes of everybody, who are fully aware of this. Flexibility, openness and willingness of people to follow new IT solutions form suitable environment for developing and deciding to take up distance learning.

  11. Legitimate Learning.

    Science.gov (United States)

    Stevenson, John

    1997-01-01

    What is considered legitimate learning is culturally and contextually specific, depending on what values are involved. Different values are engaged depending on whether legitimate learning is considered transformation of the individual in relation to self, in relation to society, or in relation to the workplace. (SK)

  12. Machine Learning.

    Science.gov (United States)

    Kirrane, Diane E.

    1990-01-01

    As scientists seek to develop machines that can "learn," that is, solve problems by imitating the human brain, a gold mine of information on the processes of human learning is being discovered, expert systems are being improved, and human-machine interactions are being enhanced. (SK)

  13. Elementos para el diseño de planes de evaluación de programas de teleformación en la empresa. [Elements for evaluation plans design about e-learning programs in the company area

    Directory of Open Access Journals (Sweden)

    Genoveva Ramos

    2005-11-01

    Full Text Available From a broad research framework, this paper’s objective is to reflect on different ways to develop E-learning evaluation plans for companies whose employees are in continuous training. Two empirical studies are presented that provide substantive references for identifying the standards, indicators and variables that can be considered for this type of evaluation plan. The results of different kinds of analyses have resulted in a guideline of standards usable in an Evaluation Protocol, and an outline to facilitate the planning and development of these kinds of evaluations. Desde una perspectiva amplia, este artículo tiene como objetivo aportar elementos de reflexión y algunas soluciones en investigación evaluativa, a fin de abordar y orientar los planes de evaluación de la teleformación en el ámbito de la formación continua en la empresa. Se presentan dos estudios empíricos que identifican estándares, indicadores y variables que puedan ser considerados en este tipo de planes de evaluación. Se propone una estructura de estándares utilizable en el marco de un Protocolo de Evaluación.

  14. Learning design thinking online : studying students' learning experience in shared virtual reality

    OpenAIRE

    Lau, Kung Wong

    2010-01-01

    Learning Design Thinking Online: Studying Students' Learning Experience in Shared Virtual Reality My study attempts to deepen understanding about the learning experiences of design students in undertaking design-thinking exercises in a shared virtual reality. This study has identified the areas of an appropriate pedagogy for E-Learning and the use of a shared virtual environment for students in tertiary design education. Specific questions arising ji"Om this research are: (1...

  15. Modernizing Training Options for Natural Areas Managers

    Science.gov (United States)

    Friedl, Sarah E.; Ober, Holly K.; Stein, Taylor V.; Andreu, Michael G.

    2015-01-01

    A recent shift in desires among working professionals from traditional learning environments to distance education has emerged due to reductions in travel and training budgets. To accommodate this, the Natural Areas Training Academy replaced traditionally formatted workshops with a hybrid approach. Surveys of participants before and after this…

  16. Blended Learning as Transformational Institutional Learning

    Science.gov (United States)

    VanDerLinden, Kim

    2014-01-01

    This chapter reviews institutional approaches to blended learning and the ways in which institutions support faculty in the intentional redesign of courses to produce optimal learning. The chapter positions blended learning as a strategic opportunity to engage in organizational learning.

  17. Docker Containers for Deep Learning Experiments

    OpenAIRE

    Gerke, Paul K.

    2017-01-01

    Deep learning is a powerful tool to solve problems in the area of image analysis. The dominant compute platform for deep learning is Nvidia’s proprietary CUDA, which can only be used together with Nvidia graphics cards. The nivida-docker project allows exposing Nvidia graphics cards to docker containers and thus makes it possible to run deep learning experiments in docker containers.In our department, we use deep learning to solve problems in the area of medical image analysis and use docker ...

  18. Unobtrusive Observation of Team Learning Attributes in Digital Learning

    Directory of Open Access Journals (Sweden)

    David C. Gibson

    2018-05-01

    Full Text Available This article presents a new framework for unobtrusive observation analytics of knowledge and skills-in-action through continuous collection of data from individuals while they interact with digital assets either as individuals or on problem-solving teams. The framework includes measures of the skill and knowledge areas of collaboration, creativity, personal learning, problem solving, and global sustainability, which are observed during natural production and use of communications, intentional artifacts, and resources in a digital learning space designed for self-directed and team-based learning challenges. The article describes the digital context for data collection and shows some example data and analyses.

  19. Vicarious learning: a review of the literature.

    Science.gov (United States)

    Roberts, Debbie

    2010-01-01

    Experiential learning theory stresses the primacy of personal experience and the literature suggests that direct clinical experience is required in order for learning to take place. However, raw or first hand experience may not be the only mechanisms by which students engage in experiential learning. There is a growing body of literature within higher education which suggests that students are able to use another's experience to learn: vicarious learning. This literature review aims to outline vicarious learning within a nursing context. Many of the studies regarding vicarious learning are situated within Higher Education in general, however, within the United States these relate more specifically to nursing students. The literature indicates the increasing global interest in this area. This paper reveals that whilst the literature offers a number of examples illustrating how vicarious learning takes place, opinion on the role of the lecturer is divided and requires further exploration and clarification. The implications for nurse education are discussed.

  20. Toolkits and Libraries for Deep Learning.

    Science.gov (United States)

    Erickson, Bradley J; Korfiatis, Panagiotis; Akkus, Zeynettin; Kline, Timothy; Philbrick, Kenneth

    2017-08-01

    Deep learning is an important new area of machine learning which encompasses a wide range of neural network architectures designed to complete various tasks. In the medical imaging domain, example tasks include organ segmentation, lesion detection, and tumor classification. The most popular network architecture for deep learning for images is the convolutional neural network (CNN). Whereas traditional machine learning requires determination and calculation of features from which the algorithm learns, deep learning approaches learn the important features as well as the proper weighting of those features to make predictions for new data. In this paper, we will describe some of the libraries and tools that are available to aid in the construction and efficient execution of deep learning as applied to medical images.

  1. Learning and geometry computational approaches

    CERN Document Server

    Smith, Carl

    1996-01-01

    The field of computational learning theory arose out of the desire to for­ mally understand the process of learning. As potential applications to artificial intelligence became apparent, the new field grew rapidly. The learning of geo­ metric objects became a natural area of study. The possibility of using learning techniques to compensate for unsolvability provided an attraction for individ­ uals with an immediate need to solve such difficult problems. Researchers at the Center for Night Vision were interested in solving the problem of interpreting data produced by a variety of sensors. Current vision techniques, which have a strong geometric component, can be used to extract features. However, these techniques fall short of useful recognition of the sensed objects. One potential solution is to incorporate learning techniques into the geometric manipulation of sensor data. As a first step toward realizing such a solution, the Systems Research Center at the University of Maryland, in conjunction with the C...

  2. Social Innovation and Collaborative Learning

    DEFF Research Database (Denmark)

    Andersen, Linda Lundgaard; Hulgård, Lars

    2014-01-01

    In this chapter we explore the roots and inspirations as well as the innovative pedagogy, learning and study programmes in social innovation and social entrepreneurship at Roskilde University in Denmark. We further outline the contribution of academic capacity building nationally...... and internationally in the area of social entrepreneurship and social innovation. We sketch out six inspirational traditions that influence learning and teaching in social innovation and social entrepreneurship: 1/ features and concepts of classic entrepreneurship teaching, 2/ critical pedagogy of the oppressed...... and critical experiential learning, 3/ reform pedagogy as critical societal and subjective learning formats, 4/ creativity, scenarios and future workshops, 5/ collaborative and action learning trends and 6/ social entrepreneurship innovation labs, incubators and hubs. Consequently, we conclude...

  3. INTERACTIVE LEARNING: ADVANTAGES AND DISADVANTAGES

    Directory of Open Access Journals (Sweden)

    O. Kustovska

    2016-10-01

    Full Text Available In the article the use of interactive technologies in the educational process of the university, allowing students to develop innovative thinking, away from stereotypes, develop imagination, communication skills and expertise, intellectual, emotional, motivational and other areas of personality. Implementing the principles of technological learning, interactive educational technology and provides interactive computer learning tools, and interactivity of educational process when the basic conceptual provisions defined training based on interactive communication.

  4. Learning styles and courseware design

    OpenAIRE

    Valley, Karen

    1997-01-01

    In this paper we examine how (courseware) can accommodate differences in preferred learning style. A review of the literature on learning styles is followed by a discussion of the implications of being able to accurately classify learners, and key issues that must be addressed are raised. We then present two courseware design solutions that take into account individual learning‐style preference: the first follows on from traditional research in this area and assumes that learners can be class...

  5. An Elementary Introduction to Statistical Learning Theory

    CERN Document Server

    Kulkarni, Sanjeev

    2011-01-01

    A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and

  6. "Learned Helplessness" or "Learned Incompetence"?

    Science.gov (United States)

    Sergent, Justine; Lambert, Wallace E.

    Studies in the past have shown that reinforcements independent of the subjects actions may induce a feeling of helplessness. Most experiments on learned helplessness have led researchers to believe that uncontrollability (non-contingency of feedback upon response) was the determining feature of learned helplessness, although in most studies…

  7. Teacher learning as workplace learning

    NARCIS (Netherlands)

    Imants, J.; Van Veen, K.

    2010-01-01

    Against the background of increasing attention in teacher professional development programs for situating teacher learning in the workplace, an overview is given of what is known in general and in educational workplace learning literature on the characteristics and conditions of the workplace.

  8. Learning, Learning Organisations and the Global Enterprise

    Science.gov (United States)

    Manikutty, Sankaran

    2009-01-01

    The steadily increasing degree of globalisation of enterprises implies development of many skills, among which the skills to learn are among the most important. Learning takes place at the individual level, but collective learning and organisational learning are also important. Learning styles of individuals are different and learning styles are…

  9. Can machine learning explain human learning?

    NARCIS (Netherlands)

    Vahdat, M.; Oneto, L.; Anguita, D.; Funk, M.; Rauterberg, G.W.M.

    2016-01-01

    Learning Analytics (LA) has a major interest in exploring and understanding the learning process of humans and, for this purpose, benefits from both Cognitive Science, which studies how humans learn, and Machine Learning, which studies how algorithms learn from data. Usually, Machine Learning is

  10. Machine learning in virtual screening.

    Science.gov (United States)

    Melville, James L; Burke, Edmund K; Hirst, Jonathan D

    2009-05-01

    In this review, we highlight recent applications of machine learning to virtual screening, focusing on the use of supervised techniques to train statistical learning algorithms to prioritize databases of molecules as active against a particular protein target. Both ligand-based similarity searching and structure-based docking have benefited from machine learning algorithms, including naïve Bayesian classifiers, support vector machines, neural networks, and decision trees, as well as more traditional regression techniques. Effective application of these methodologies requires an appreciation of data preparation, validation, optimization, and search methodologies, and we also survey developments in these areas.

  11. Learning automata theory and applications

    CERN Document Server

    Najim, K

    1994-01-01

    Learning systems have made a significant impact on all areas of engineering problems. They are attractive methods for solving many problems which are too complex, highly non-linear, uncertain, incomplete or non-stationary, and have subtle and interactive exchanges with the environment where they operate. The main aim of the book is to give a systematic treatment of learning automata and to produce a guide to a wide variety of ideas and methods that can be used in learning systems, including enough theoretical material to enable the user of the relevant techniques and concepts to understand why

  12. Deep Learning in Visual Computing and Signal Processing

    OpenAIRE

    Xie, Danfeng; Zhang, Lei; Bai, Li

    2017-01-01

    Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features from input data. Nowadays, researchers have intensively investigated deep learning algorithms for solving challenging problems in many areas such as image classification, speech recognition, signal processing, and natural language processing. In this study, we not only review typical deep learning algorithms in computer vision and signal processing but also provide detailed information on how to apply...

  13. Evaluation of learning materials

    DEFF Research Database (Denmark)

    Bundsgaard, Jeppe; Hansen, Thomas Illum

    2011-01-01

    This paper presents a holistic framework for evaluating learning materials and designs for learning. A holistic evaluation comprises investigations of the potential learning potential, the actualized learning potential, and the actual learning. Each aspect is explained and exemplified through...

  14. Learning Spaces

    CERN Document Server

    Falmagne, Jean-Claude

    2011-01-01

    Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. The various structures are investigated from the standpoints of combinatorial properties and stochastic processes. Leaning spaces have become the essential structures to be used in assessing students' competence of various topics. A practical example is offered by ALEKS, a Web-based, artificially intelligent assessment and learning system in mathematics and other scholarly fields. At the heart of A

  15. Health Service Areas (HSAs) - Small Area Estimates

    Science.gov (United States)

    Health Service Areas (HSAs) are a compromise between the 3000 counties and the 50 states. An HSA may be thought of as an area that is relatively self-contained with respect to hospital care and may cross over state boundries.

  16. Supportive Learning: Linear Learning and Collaborative Learning

    Science.gov (United States)

    Lee, Bih Ni; Abdullah, Sopiah; Kiu, Su Na

    2016-01-01

    This is a conceptual paper which is trying to look at the educational technology is not limited to high technology. However, electronic educational technology, also known as e-learning, has become an important part of today's society, which consists of a wide variety of approaches to digitization, components and methods of delivery. In the…

  17. Learning to learn: self-managed learning

    Directory of Open Access Journals (Sweden)

    Jesús Miranda Izquierdo

    2006-09-01

    Full Text Available Thi is article analyzes the potentialities and weaknesses that non directive Pedagogy presents, an example of the so called self managed pedagogy, whose postulates are good to analyze for the contributions that this position can make to the search of new ways of learning.

  18. Worth the Effort to Achieve the City of Children in Surakarta Makassar

    Directory of Open Access Journals (Sweden)

    Moh. Ilham A. Hamudy

    2015-06-01

    areas. The success of the KLA in a city / county is also very dependent on the commitment of all parties concerned built. In addition, the program can not be done KLA in a short time, and require no small cost.

  19. Machine Learning

    Energy Technology Data Exchange (ETDEWEB)

    Chikkagoudar, Satish; Chatterjee, Samrat; Thomas, Dennis G.; Carroll, Thomas E.; Muller, George

    2017-04-21

    The absence of a robust and unified theory of cyber dynamics presents challenges and opportunities for using machine learning based data-driven approaches to further the understanding of the behavior of such complex systems. Analysts can also use machine learning approaches to gain operational insights. In order to be operationally beneficial, cybersecurity machine learning based models need to have the ability to: (1) represent a real-world system, (2) infer system properties, and (3) learn and adapt based on expert knowledge and observations. Probabilistic models and Probabilistic graphical models provide these necessary properties and are further explored in this chapter. Bayesian Networks and Hidden Markov Models are introduced as an example of a widely used data driven classification/modeling strategy.

  20. Learning Leadership

    DEFF Research Database (Denmark)

    Hertel, Frederik; Fast, Alf Michael

    2018-01-01

    Is leadership a result of inheritance or is it something one learns during formal learning in e.g. business schools? This is the essential question addressed in this article. The article is based on a case study involving a new leader in charge of a group of profession practitioners. The leader...... promotes his leadership as a profession comparable to the professions of practitioners. This promotion implies that leadership is something one can and probably must learn during formal learning. The practitioners on the other hand reject this comprehension of leadership and long for a fellow practitioner...... to lead the organization. While asked they are unable to describe how, where and when they think a practitioner develops leadership skills necessary for leading fellows. In the following we will start analysing the case in order to comprehend and discuss both the professional leaders and the practitioners...

  1. Group learning

    DEFF Research Database (Denmark)

    Pimentel, Ricardo; Noguira, Eloy Eros da Silva; Elkjær, Bente

    The article presents a study that aims at the apprehension of the group learning in a top management team composed by teachers in a Brazilian Waldorf school whose management is collective. After deciding to extend the school, they had problems recruiting teachers who were already trained based...... on the Steiner´s ideas, which created practical problems for conducting management activities. The research seeks to understand how that group of teachers collectively manage the school, facing the lack of resources, a significant heterogeneity in the relationships, and the conflicts and contradictions......, and they are interrelated to the group learning as the construction, maintenance and reconstruction of the intelligibility of practices. From this perspective, it can be said that learning is a practice and not an exceptional phenomenon. Building, maintaining and rebuilding the intelligibility is the group learning...

  2. Learning Disabilities

    Science.gov (United States)

    ... NICHD) See all related organizations Publications Problemas de aprendizaje Order NINDS Publications Patient Organizations CHADD - Children and ... NICHD) See all related organizations Publications Problemas de aprendizaje Order NINDS Publications Definition Learning disabilities are disorders ...

  3. Reflective Learning

    African Journals Online (AJOL)

    dell

    The experimental group students used learning log on a weekly basis while the control group did not. ... The term “memory” in psychology usually denotes an interest in the retention ... activities that contribute to information being remembered.

  4. Learning via Query Synthesis

    KAUST Repository

    Alabdulmohsin, Ibrahim Mansour

    2017-05-07

    Active learning is a subfield of machine learning that has been successfully used in many applications. One of the main branches of active learning is query synthe- sis, where the learning agent constructs artificial queries from scratch in order to reveal sensitive information about the underlying decision boundary. It has found applications in areas, such as adversarial reverse engineering, automated science, and computational chemistry. Nevertheless, the existing literature on membership query synthesis has, generally, focused on finite concept classes or toy problems, with a limited extension to real-world applications. In this thesis, I develop two spectral algorithms for learning halfspaces via query synthesis. The first algorithm is a maximum-determinant convex optimization method while the second algorithm is a Markovian method that relies on Khachiyan’s classical update formulas for solving linear programs. The general theme of these methods is to construct an ellipsoidal approximation of the version space and to synthesize queries, afterward, via spectral decomposition. Moreover, I also describe how these algorithms can be extended to other settings as well, such as pool-based active learning. Having demonstrated that halfspaces can be learned quite efficiently via query synthesis, the second part of this thesis proposes strategies for mitigating the risk of reverse engineering in adversarial environments. One approach that can be used to render query synthesis algorithms ineffective is to implement a randomized response. In this thesis, I propose a semidefinite program (SDP) for learning a distribution of classifiers, subject to the constraint that any individual classifier picked at random from this distributions provides reliable predictions with a high probability. This algorithm is, then, justified both theoretically and empirically. A second approach is to use a non-parametric classification method, such as similarity-based classification. In this

  5. Implementing US Department of Energy lessons learned programs. Volume 2

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-08-01

    The DOE Lessons Learned Handbook is a two-volume publication developed to supplement the DOE Lessons Learned Standard (DOE-STD-7501-95) with information that will organizations in developing or improving their lessons learned programs. Volume 1 includes greater detail than the Standard in areas such as identification and documentation of lessons learned; it also contains sections on specific processes such as training and performance measurement. Volume 2 (this document) contains examples of program documents developed by existing lessons learned programs as well as communications material, functional categories, transmittal documents, sources of professional and industry lessons learned, and frequently asked questions about the Lessons Learned List Service.

  6. Learning Analytics: drivers, developments and challenges

    Directory of Open Access Journals (Sweden)

    Rebecca Ferguson

    2014-12-01

    Full Text Available Learning analytics is a significant area of Technology-Enhanced Learning (TEL that has emerged during the last decade. This review of the field begins with an examination of the technological, educational and political factors that have driven the development of analytics in educational settings. It goes on to chart the emergence of learning analytics, including their origins in the 20th century, the development of data-driven analytics, the rise of learning-focused perspectives and the influence of national economic concerns. It next focuses on the relationships between learning analytics, educational data mining and academic analytics. Finally, it examines developing areas of learning analytics research, and identifies a series of future challenges.

  7. DEVELOPMENT OF CROSS-BORDER AREAS. STUDY CASES REVIEW

    Directory of Open Access Journals (Sweden)

    Marcela\tȘLUSARCIUC

    2015-06-01

    Full Text Available The paper aims to review study cases found in the scientific literature concerning the development of cross- border areas in European Union and its neighbourhood. The introductory part of the paper is drawing few considerations about the cross-border areas. Further we identified in the specific literature relevant study cases that provide lessons learned, tools and models that can contribute to the development of the cross-border areas. The last part of the paper is focusing on an inquiry about how this lessons, learned, tools and models may be adapted in case of cross-border areas along the Romanian border with the EU Eastern Neighbourhood.

  8. Saraniyadhamma Community knowledge Incubator area

    Directory of Open Access Journals (Sweden)

    Siripong Arundechachai

    2017-03-01

    Full Text Available The purposes of this research were to 1 study the situation of the community knowledge incubator area at the past to the present time in Banhad,Tambon banhad, Amphoe banhad Changwat KhonKaen, 2 study guidelines Buddhadhamma “Saraniyadhamma” revised by Community knowledge application Banhad, Tambon banhad, Amphoe banhad Changwat KhonKaen, 3 study workflow of Saraniyadhamma that led to the creation of the network community knowledge incubator area together with another community. The target groups used in this research of the purposive sampling family farmers of 10, in Tambon banhad,Amphoe banhad Changwat KhonKaen. the Qualitative research.was used in this Study The results showed that 1 diversing issues in the Community live action of the relationships or occupations experience can be passed down, as well as the risk of loss the relationships between the people and people, people and supernatural. After people and nature lost in the community, but thay Continue to Perform, because community has strengths given the importance of all, to themselves, to others, generous, generosity, mounting traditions, Led to the creation Community Knowledge Incubator 2 adopting Buddhism’s “Saraniyadhamma 6” that applied to community Knowledge Incubator by giving to make immunity community. Strong The six fetures, were Principle 1: Metta-kayakamma, feature on sacrifiction, unity and synergy. Principle 2: Metta-manokamma, feature on mercifulness, collective sacrification. Principle 3: Metta-kayakamma, feature on good things, speak well, good action. Principle 4: Sadharana-bhogi, feature on humane society, mutual respect. Principle 5 Sila-samannata, feature on, follow the rules of society. Principle 5 Metta-manokamma feature on rationality, listening to the opinion of others. It found that there were process-driven learning and following six rules of saraniyadhamma, and immunity system, risk Decoupled. 3 Networks Saraniyadhamma learnt together with other

  9. Towards unsupervised ontology learning from data

    CSIR Research Space (South Africa)

    Klarman, S

    2015-07-01

    Full Text Available from facts [Shapiro, 1981], finite automata descriptions from observations [Pitt, 1989], logic programs from interpretations [De Raedt and Lavracˇ, 1993; De Raedt, 1994]. In the area of DLs, a few learning scenarios have been formally addressed..., concerned largely with learning concept descriptions via different learn- ing operators [Straccia and Mucci, 2015; Lehmann and Hit- zler, 2008; Fanizzi et al., 2008; Cohen and Hirsh, 1994] and applications of formal concept analysis techniques to auto- mated...

  10. A SURVEY OF SEMI-SUPERVISED LEARNING

    OpenAIRE

    Amrita Sadarangani *, Dr. Anjali Jivani

    2016-01-01

    Semi Supervised Learning involves using both labeled and unlabeled data to train a classifier or for clustering. Semi supervised learning finds usage in many applications, since labeled data can be hard to find in many cases. Currently, a lot of research is being conducted in this area. This paper discusses the different algorithms of semi supervised learning and then their advantages and limitations are compared. The differences between supervised classification and semi-supervised classific...

  11. Learning to Play, Playing to Learn: Comparing the Experiences of Adult Foreign Language Learners with Off-the-Shelf and Specialized Games for Learning German

    Science.gov (United States)

    De Grove, Frederik; Van Looy, Jan; Mechant, Peter

    2013-01-01

    Learning opportunities offered by digital games have become an important research topic in recent years. Language learning is one of the areas in which games could prosper but the question then is whether these should be specialized language-learning games or commercial off-the-shelf games for entertainment. The goal of this paper is to compare…

  12. Active Learning Not Associated with Student Learning in a Random Sample of College Biology Courses

    Science.gov (United States)

    Andrews, T. M.; Leonard, M. J.; Colgrove, C. A.; Kalinowski, S. T.

    2011-01-01

    Previous research has suggested that adding active learning to traditional college science lectures substantially improves student learning. However, this research predominantly studied courses taught by science education researchers, who are likely to have exceptional teaching expertise. The present study investigated introductory biology courses randomly selected from a list of prominent colleges and universities to include instructors representing a broader population. We examined the relationship between active learning and student learning in the subject area of natural selection. We found no association between student learning gains and the use of active-learning instruction. Although active learning has the potential to substantially improve student learning, this research suggests that active learning, as used by typical college biology instructors, is not associated with greater learning gains. We contend that most instructors lack the rich and nuanced understanding of teaching and learning that science education researchers have developed. Therefore, active learning as designed and implemented by typical college biology instructors may superficially resemble active learning used by education researchers, but lacks the constructivist elements necessary for improving learning. PMID:22135373

  13. Framework of Strategic Learning: The PDCA Cycle

    Directory of Open Access Journals (Sweden)

    Michał Pietrzak

    2015-06-01

    Full Text Available Nowadays, strategic planning has to be permanent process and organizational learning should support it. Researchers in theories of organizational learning attempt to understand processes, which lead to changes in organizational knowledge, as well as the effects of learning on organizational performance. In traditional approach, the strategy is viewed as one shot event. However, in contemporary turbulent environment this could not be still valid. There is a need of elastic strategic management, which employs organizational learning process. The crucial element of such process is information acquisition, which allows refining the initial version of strategic plan. In this article authors discuss the PDCA cycle as a framework of strategic learning process, including both single-loop and double loop learning. Authors proposed the ideas for further research in area of organizational learning and strategic management.

  14. Rapid learning in visual cortical networks.

    Science.gov (United States)

    Wang, Ye; Dragoi, Valentin

    2015-08-26

    Although changes in brain activity during learning have been extensively examined at the single neuron level, the coding strategies employed by cell populations remain mysterious. We examined cell populations in macaque area V4 during a rapid form of perceptual learning that emerges within tens of minutes. Multiple single units and LFP responses were recorded as monkeys improved their performance in an image discrimination task. We show that the increase in behavioral performance during learning is predicted by a tight coordination of spike timing with local population activity. More spike-LFP theta synchronization is correlated with higher learning performance, while high-frequency synchronization is unrelated with changes in performance, but these changes were absent once learning had stabilized and stimuli became familiar, or in the absence of learning. These findings reveal a novel mechanism of plasticity in visual cortex by which elevated low-frequency synchronization between individual neurons and local population activity accompanies the improvement in performance during learning.

  15. Features and characteristics of problem based learning

    Directory of Open Access Journals (Sweden)

    Eser Ceker

    2016-12-01

    Full Text Available Throughout the years, there appears to be an increase in Problem Based Learning applications in education; and Problem Based Learning related research areas. The main aim of this research is to underline the fundamentals (basic elements of Problem Based Learning, investigate the dimensions of research approached to PBL oriented areas (with a look for the latest technology supported tools of Problem Based Learning. This research showed that the most researched characteristics of PBL are; teacher and student assessments on Problem Based Learning, Variety of disciplines in which Problem Based Learning strategies were tried and success evaluated, Using Problem Based Learning alone or with other strategies (Hybrid or Mix methods, Comparing Problem Based Learning with other strategies, and new trends and tendencies in Problem Based Learning related research. Our research may help us to identify the latest trends and tendencies referred to in the published studies related to “problem based learning” areas. In this research, Science Direct and Ulakbim were used as our main database resources. The sample of this study consists of 150 articles.

  16. Beyond Prejudice: Inclusive Learning in Practice

    Science.gov (United States)

    Smith, Vikki; Armstrong, Anne

    2005-01-01

    Promoting an inclusive learning environment that caters for all learners and their individual needs and meeting challenging targets set in this area is a huge under taking for providers across the learning and skills sector. This booklet provides an overview that illustrates the breadth and variety that the broad banner of inclusive learning…

  17. BIBLIOGRAPHY ON LEARNING PROCESS. SUPPLEMENT II.

    Science.gov (United States)

    Harvard Univ., Cambridge, MA. Graduate School of Education.

    THIS SUPPLEMENTARY BIBLIOGRAPHY LISTS MATERIALS ON VARIOUS FACETS OF HUMAN LEARNING. APPROXIMATELY 60 UNANNOTATED REFERENCES ARE PROVIDED FOR DOCUMENTS DATING FROM 1954 TO 1966. JOURNAL ARTICLES, BOOKS, RESEARCH REPORTS, AND CONFERENCE PAPERS ARE LISTED. SOME SUBJECT AREAS INCLUDED ARE (1) LEARNING PARAMETERS AND ABILITY, (2) RETENTION AND…

  18. Music and Informal Learning in Everyday Life

    Science.gov (United States)

    Batt-Rawden, Kari; Denora, Tia

    2005-01-01

    In this paper, the authors focus on informal learning as it is situated in and derived from everyday life experience (Lave, 1988; Lave and Wenger, 1991). Their concern is with informal musical learning and its link to health, well-being and the care of self, an area that has already received some attention from research in music therapy,…

  19. Personality in learning and education : A review

    NARCIS (Netherlands)

    DeRaad, B; Schouwenburg, HC

    1996-01-01

    The literature relevant to the combined area of personality and education and learning is summarized, covering almost a century of research and theorizing. Different topics considered important from the aspect of education and learning or from the aspect of personality ape represented. For

  20. E-Learning in the Corporate University

    Science.gov (United States)

    Homan, Gill; Macpherson, Allan

    2005-01-01

    Purpose: To explore the development of e-learning within the context of corporate universities with the aim of informing the debate on e-learning and establishing key areas of concern for emerging corporate universities. Design/methodology/approach: Three case reviews of large leading edge organizations in different sectors. Findings: Whilst…

  1. Aptitude for Learning a Foreign Language.

    Science.gov (United States)

    Sparks, Richard; Ganschow, Leonore

    2001-01-01

    Review research on foreign language aptitude and its measurement prior to 1990. Describes research areas in the 1990s, including affective variables, language learning strategies, learning styles as contributors to aptitude and aptitude as a cognitive construct affected by language variables. Reviews research on individual differences and the…

  2. Lifelong Learning in the Public Interest.

    Science.gov (United States)

    Kurland, Norman D.

    In this paper, the author notes that lifelong learning is at the confluence of a number of separate streams from the recent past, each of which flows into the broad concept of lifelong learning and brings its own set of concerns that have helped generate a need to consider where the streams are going. These streams, or educational areas, are…

  3. Interorganizational learning systems

    DEFF Research Database (Denmark)

    Hjalager, Anne-Mette

    1999-01-01

    The occurrence of organizational and interorganizational learning processes is not only the result of management endeavors. Industry structures and market related issues have substantial spill-over effects. The article reviews literature, and it establishes a learning model in which elements from...... organizational environments are included into a systematic conceptual framework. The model allows four types of learning to be identified: P-learning (professional/craft systems learning), T-learning (technology embedded learning), D-learning (dualistic learning systems, where part of the labor force is exclude...... from learning), and S-learning (learning in social networks or clans). The situation related to service industries illustrates the typology....

  4. learning environments and the learning proces of interaction

    DEFF Research Database (Denmark)

    Jørgensen, Christian Helms

    2004-01-01

    In recent years, learning in working life has been launched as an important approach in relation to the urgent need for competence-development in our modern knowledge society. But what does it mean in practice? What can and what cannot be learned on the job; what is learned better at courses......, and their results, findings and recommendations are summed up in this book. The book ranges from the background for this development, over general mapping of the area from social, learning and political angles, the development of an overview model and analysis of a wide variety of practical approaches...... to the concluding perspectives on a practical, a theoretical and a political level. On the practical level, the door is opened for close interaction between workplaces and educational organisers, and politically for broad cooperation between the state, the partners in the labour market, and educational institutions...

  5. Adventure Learning: Theory and Implementation of Hybrid Learning

    Science.gov (United States)

    Doering, A.

    2008-12-01

    Adventure Learning (AL), a hybrid distance education approach, provides students and teachers with the opportunity to learn about authentic curricular content areas while interacting with adventurers, students, and content experts at various locations throughout the world within an online learning environment (Doering, 2006). An AL curriculum and online environment provides collaborative community spaces where traditional hierarchical classroom roles are blurred and learning is transformed. AL has most recently become popular in K-12 classrooms nationally and internationally with millions of students participating online. However, in the literature, the term "adventure learning" many times gets confused with phrases such as "virtual fieldtrip" and activities where someone "exploring" is posting photos and text. This type of "adventure learning" is not "Adventure Learning" (AL), but merely a slideshow of their activities. The learning environment may not have any curricular and/or social goals, and if it does, the environment design many times does not support these objectives. AL, on the other hand, is designed so that both teachers and students understand that their online and curriculum activities are in synch and supportive of the curricular goals. In AL environments, there are no disparate activities as the design considers the educational, social, and technological affordances (Kirschner, Strijbos, Kreijns, & Beers, 2004); in other words, the artifacts of the learning environment encourage and support the instructional goals, social interactions, collaborative efforts, and ultimately learning. AL is grounded in two major theoretical approaches to learning - experiential and inquiry-based learning. As Kolb (1984) noted, in experiential learning, a learner creates meaning from direct experiences and reflections. Such is the goal of AL within the classroom. Additionally, AL affords learners a real-time authentic online learning experience concurrently as they

  6. Learning, Working and Living. Mapping the terrain of Working Life Learning

    DEFF Research Database (Denmark)

    In recent years, learning and knowing have emerged as key issues in understanding work organizations. Identifying ways in which learning can be supported in the workplace has been a long standing cercern for organization studies and education. What is particularly interesting is that the debate...... about organization and workplace learning has moved, from a fokus on formal and informal ways of supporting learning to ways in which learning ca become a part of working lifeWith contributions from a diverse range of international authorities in the area of management and education ass well...

  7. Circles of Learning: Applying Socratic Pedagogy to Learn Modern Leadership

    Science.gov (United States)

    Friesen, Katherine L.; Stephens, Clinton M.

    2016-01-01

    In response to the National Leadership Education Agenda, this application brief furthers priority one, addressing the teaching, learning, and curriculum development of leadership education. The ability of students to demonstrate leadership outcome mastery in areas of communication, self-awareness, interpersonal interactions, and civic…

  8. Should Broca's area include Brodmann area 47?

    Science.gov (United States)

    Ardila, Alfredo; Bernal, Byron; Rosselli, Monica

    2017-02-01

    Understanding brain organization of speech production has been a principal goal of neuroscience. Historically, brain speech production has been associated with so-called Broca’s area (Brodmann area –BA- 44 and 45), however, modern neuroimaging developments suggest speech production is associated with networks rather than with areas. The purpose of this paper was to analyze the connectivity of BA47 ( pars orbitalis) in relation to language . A meta-analysis was conducted to assess the language network in which BA47 is involved. The Brainmap database was used. Twenty papers corresponding to 29 experimental conditions with a total of 373 subjects were included. Our results suggest that BA47 participates in a “frontal language production system” (or extended Broca’s system). The BA47  connectivity found is also concordant with a minor role in language semantics. BA47 plays a central role in the language production system.

  9. Accommodating Different Learning Styles

    DEFF Research Database (Denmark)

    Ovesen, Nis

    2014-01-01

    Design engineering educations often struggle to accommodate a highly diverse group of students as it combines an equally diverse range of topics in one education. This paper investigates how a specific course, Mathematics and Form, integrates two distinct areas into one course with the aim of fac...... shapes and form, whereas other types of students do not. The results thereby underpin that learning is typically based on individual preferences and that cross-disciplinary educational programmes have to accommodate this....... of facilitating learning across this diverse group of students. The paper is based on a survey with 99 former participants of the course as respondents. The results of the survey imply that certain types of students benefit from the combination of mathematical theory and practical exercises related to basic...

  10. Infrastructure Area Simplification Plan

    CERN Document Server

    Field, L.

    2011-01-01

    The infrastructure area simplification plan was presented at the 3rd EMI All Hands Meeting in Padova. This plan only affects the information and accounting systems as the other areas are new in EMI and hence do not require simplification.

  11. VT ZIP Code Areas

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) A ZIP Code Tabulation Area (ZCTA) is a statistical geographic entity that approximates the delivery area for a U.S. Postal Service five-digit...

  12. Vermont Designated Natural Areas

    Data.gov (United States)

    Vermont Center for Geographic Information — Under Natural Areas Law (10 Vermont Statutes Annotated, Chapter 83 � 2607) the FPR commissioner, with the approval of the governor, may designate and set aside areas...

  13. Hydrologic Areas of Concern

    Data.gov (United States)

    University of New Hampshire — A Hydrologic Area of Concern (HAC) is a land area surrounding a water source, which is intended to include the portion of the watershed in which land uses are likely...

  14. Open University Learning Analytics dataset.

    Science.gov (United States)

    Kuzilek, Jakub; Hlosta, Martin; Zdrahal, Zdenek

    2017-11-28

    Learning Analytics focuses on the collection and analysis of learners' data to improve their learning experience by providing informed guidance and to optimise learning materials. To support the research in this area we have developed a dataset, containing data from courses presented at the Open University (OU). What makes the dataset unique is the fact that it contains demographic data together with aggregated clickstream data of students' interactions in the Virtual Learning Environment (VLE). This enables the analysis of student behaviour, represented by their actions. The dataset contains the information about 22 courses, 32,593 students, their assessment results, and logs of their interactions with the VLE represented by daily summaries of student clicks (10,655,280 entries). The dataset is freely available at https://analyse.kmi.open.ac.uk/open_dataset under a CC-BY 4.0 license.

  15. Realising the organisational learning opportunities

    International Nuclear Information System (INIS)

    Pomfret, D.G.; Bradford, S.T.

    2000-01-01

    An aspect of proactive safety management is learning lessons from unforeseen events. As BNFL has expanded and extended its nuclear services to many more sites, the potential for organisational learning has grown, but sharing through informal networking has become progressively harder. This potential problem has been solved by implementing formalised company-wide arrangements to turn incidents and accidents into organisational learning opportunities through a system called 'Learning from Experience' (LFE). LFE enables event causes and corrective actions to be identified and shared across all BNFL's sites, initially in the UK but ultimately throughout the world. The result is prevention of events having similar causes, and development of a learning culture which breaks down the barriers to adopting best practice'. Key aspects of the system are: Applying root cause analysis to all significant events; Logging all events, their causes and corrective actions onto a Company-wide database; Screening the database regularly by locally appointed Feedback Co-ordinators trained in identifying learning opportunities and knowledgeable of their own business area, and; Placing and tracking actions to prevent similar events at local Event Review Meetings. The paper describes the implementation and initial experience in operation of the LFE system, which is seen as a significant step towards becoming an expanding and learning company with no accidents or incidents. (author)

  16. Lifelong Learning

    DEFF Research Database (Denmark)

    Krogh, Lone; Jensen, Annie Aarup

    2010-01-01

    Master education for adults has become a strategy for Lifelong Learning among many well-educated people in Denmark. This type of master education is part of the ‘parallel education system' in Denmark. As one of the first Danish universities who offered this type of Master education, Aalborg...... the intended as well as the unintended effects (personal and professional) of the master education. The data have been gathered among graduates from a specific master education, Master in Learning Processes, and the paper will draw on results from a quantitative survey based on a questionnaire answered by 120...

  17. Learning SPARQL

    CERN Document Server

    DuCharme, Bob

    2011-01-01

    Get hands-on experience with SPARQL, the RDF query language that's become a key component of the semantic web. With this concise book, you will learn how to use the latest version of this W3C standard to retrieve and manipulate the increasing amount of public and private data available via SPARQL endpoints. Several open source and commercial tools already support SPARQL, and this introduction gets you started right away. Begin with how to write and run simple SPARQL 1.1 queries, then dive into the language's powerful features and capabilities for manipulating the data you retrieve. Learn wha

  18. Deep Learning in Open Source Learning Streams

    DEFF Research Database (Denmark)

    Kjærgaard, Thomas

    2016-01-01

    This chapter presents research on deep learning in a digital learning environment and raises the question if digital instructional designs can catalyze deeper learning than traditional classroom teaching. As a theoretical point of departure the notion of ‘situated learning’ is utilized...... and contrasted to the notion of functionalistic learning in a digital context. The mechanism that enables deep learning in this context is ‘The Open Source Learning Stream’. ‘The Open Source Learning Stream’ is the notion of sharing ‘learning instances’ in a digital space (discussion board, Facebook group......, unistructural, multistructural or relational learning. The research concludes that ‘The Open Source Learning Stream’ can catalyze deep learning and that there are four types of ‘Open Source Learning streams’; individual/ asynchronous, individual/synchronous, shared/asynchronous and shared...

  19. Mastering machine learning with scikit-learn

    CERN Document Server

    Hackeling, Gavin

    2014-01-01

    If you are a software developer who wants to learn how machine learning models work and how to apply them effectively, this book is for you. Familiarity with machine learning fundamentals and Python will be helpful, but is not essential.

  20. Transforming learning?

    Science.gov (United States)

    1999-09-01

    A new Learning and Skills Council for post-16 learning is the latest proposal from the UK Government in its attempt to ensure a highly skilled workforce for the next century. Other aims will be to reduce the variability in standards of the existing post-16 system, coordination and coherence between further education and training, and a reduction in the duplication and layers in contracting and funding. The proposals include: a national Learning and Skills Council, with 40-50 local Learning and Skills Councils to develop local plans; a strengthened strategic role for business in education and training, influencing a budget of #5bn a radical new youth programme entitled `Connexions', with dedicated personal advisors for young people; greater cooperation between sixth forms and colleges; and the establishment of an independent inspectorate covering all work-related learning and training, to include a new role for Ofsted in inspecting the provision for 16-19 year-olds in schools and colleges. It is hoped that this programme will build on the successes of the previous systems and that savings of at least #50m can be achieved through streamlining and the reduction in bureaucracy. The intentions are set out in a White Paper, Learning to Succeed, which is available from the Stationery Office and bookshops, as well as on the website www.dfee.gov.uk/post16. Published in addition to the White Paper was `School Sixth form funding: a consultation paper' (available from DfEE publications, Prolog, PO Box 5050, Sherwood Park, Annesley, Nottingham NG15 0DJ) and `Transition plan for the post-16 education and training and for local delivery of support for small firms' (available from Trevor Tucknutt, TECSOP Division, Level 3, Department for Education and Employment, Moorfoot, Sheffield S1 4PQ). The deadline for comments on both the sixth form consultation document and the White Paper is 15 October 1999. Almost simultaneously with the announcement of the above proposals came the

  1. A Feedback Model for Data-Rich Learning Experiences

    Science.gov (United States)

    Pardo, Abelardo

    2018-01-01

    Feedback has been identified as one of the factors with the largest potential for a positive impact in a learning experience. There is a significant body of knowledge studying feedback and providing guidelines for its implementation in learning environments. In parallel, the areas of learning analytics or educational data mining have emerged to…

  2. Participation in Informal Science Learning Experiences: The Rich Get Richer?

    Science.gov (United States)

    DeWitt, Jennifer; Archer, Louise

    2017-01-01

    Informal science learning (ISL) experiences have been found to provide valuable opportunities to engage with and learn about science and, as such, form a key part of the STEM learning ecosystem. However, concerns remain around issues of equity and access. The Enterprising Science study builds upon previous research in this area and uses the…

  3. Creating a Total Quality Environment (TQE) for Learning

    Science.gov (United States)

    Freed, Jann E.

    2005-01-01

    This article describes a model for creating a total quality environment (TQE) for learning in which everyone is considered a learner. The model consists of 11 interrelated characteristics derived from the literature in the areas of continuous improvement, leadership, learning, learning organizations, and spirituality. The characteristics in the…

  4. Transgenic Learning for STEAM Subjects and Virtual Containers for OER

    Science.gov (United States)

    Burgos, Daniel; Corbí, Alberto

    2018-01-01

    Transgenic learning is a disruptive approach in education. It encourages modification of moving parts of the educational chain. This article provides a view of transgenic learning focused on the delivery of enriched learning contents in STEAM areas. It discusses the mutagenic role that the virtual containers may play in current distance education.…

  5. Reading Comprehension, Learning Styles, and Seventh Grade Students

    Science.gov (United States)

    Williams, Judy

    2010-01-01

    Reading is a basic life skill. Unfortunately, in 2007, only 29% of all eighth graders were able to comprehend at or above a proficient reading comprehension level. Sensory learning styles (kinesthetic, tactile, auditory, and visual) affect the way that students prefer to learn and the areas in which they will have difficulty learning. This study…

  6. Virtual Reality and Learning: Where Is the Pedagogy?

    Science.gov (United States)

    Fowler, Chris

    2015-01-01

    The aim of this paper was to build upon Dalgarno and Lee's model or framework of learning in three-dimensional (3-D) virtual learning environments (VLEs) and to extend their road map for further research in this area. The enhanced model shares the common goal with Dalgarno and Lee of identifying the learning benefits from using 3-D VLEs. The…

  7. An Interactive Learning Environment for Information and Communication Theory

    Science.gov (United States)

    Hamada, Mohamed; Hassan, Mohammed

    2017-01-01

    Interactive learning tools are emerging as effective educational materials in the area of computer science and engineering. It is a research domain that is rapidly expanding because of its positive impacts on motivating and improving students' performance during the learning process. This paper introduces an interactive learning environment for…

  8. Intelligent Fuzzy Spelling Evaluator for e-Learning Systems

    Science.gov (United States)

    Chakraborty, Udit Kr.; Konar, Debanjan; Roy, Samir; Choudhury, Sankhayan

    2016-01-01

    Evaluating Learners' Response in an e-Learning environment has been the topic of current research in areas of Human Computer Interaction, e-Learning, Education Technology and even Natural Language Processing. The current paper presents a twofold strategy to evaluate single word response of a learner in an e-Learning environment. The response of…

  9. The State of E-Learning in Canada

    Science.gov (United States)

    Canadian Council on Learning, 2009

    2009-01-01

    The objective of this report is to improve Canadians' understanding of e-learning--particularly of the challenges, limitations and benefits--so that Canada may move forward in appropriate and relevant ways. Levels of adoption of e-learning have been significantly slower than predicted. This report also identifies areas related to e-learning where…

  10. Implicit Procedural Learning in Fragile X and Down Syndrome

    Science.gov (United States)

    Bussy, G.; Charrin, E.; Brun, A.; Curie, A.; des Portes, V.

    2011-01-01

    Background: Procedural learning refers to rule-based motor skill learning and storage. It involves the cerebellum, striatum and motor areas of the frontal lobe network. Fragile X syndrome, which has been linked with anatomical abnormalities within the striatum, may result in implicit procedural learning deficit. Methods: To address this issue, a…

  11. Deepening Learning through Learning-by-Inventing

    OpenAIRE

    Apiola, Mikko; Tedre, Matti

    2013-01-01

    It has been shown that deep approaches to learning, intrinsic motivation, and self-regulated learning have strong positive effects on learning. How those pedagogical theories can be integrated in computing curricula is, however, still lacking empirically grounded analyses. This study integrated, in a robotics-based programming class, a method of learning-by-inventing, and studied its qualitative effects on students’ learning through 144 interviews. Five findings were related with learning the...

  12. Learning via Query Synthesis

    KAUST Repository

    Alabdulmohsin, Ibrahim

    2017-01-01

    Active learning is a subfield of machine learning that has been successfully used in many applications. One of the main branches of active learning is query synthe- sis, where the learning agent constructs artificial queries from scratch in order

  13. Managing Learning for Performance.

    Science.gov (United States)

    Kuchinke, K. Peter

    1995-01-01

    Presents findings of organizational learning literature that could substantiate claims of learning organization proponents. Examines four learning processes and their contribution to performance-based learning management: knowledge acquisition, information distribution, information interpretation, and organizational memory. (SK)

  14. Learning Object Repositories

    Science.gov (United States)

    Lehman, Rosemary

    2007-01-01

    This chapter looks at the development and nature of learning objects, meta-tagging standards and taxonomies, learning object repositories, learning object repository characteristics, and types of learning object repositories, with type examples. (Contains 1 table.)

  15. Blocking in Category Learning

    OpenAIRE

    Bott, Lewis; Hoffman, Aaron B.; Murphy, Gregory L.

    2007-01-01

    Many theories of category learning assume that learning is driven by a need to minimize classification error. When there is no classification error, therefore, learning of individual features should be negligible. We tested this hypothesis by conducting three category learning experiments adapted from an associative learning blocking paradigm. Contrary to an error-driven account of learning, participants learned a wide range of information when they learned about categories, and blocking effe...

  16. Learned Helplessness

    Science.gov (United States)

    Hooker, Carol E.

    1976-01-01

    Learned helplessness--the belief that a person's actions have no influence on the outcome of an event--is similar in many respects to the crisis state and depression. The author shows how this impaired social and psychological functioning occurs and identifies techniques that the social worker can use to prevent it. (Author)

  17. Learning Disabilities.

    Science.gov (United States)

    Neuwirth, Sharyn

    This booklet uses hypothetical case examples to illustrate the definition, causal theories, and specific types of learning disabilities (LD). The cognitive and language performance of students with LD is compared to standard developmental milestones, and common approaches to the identification and education of children with LD are outlined.…

  18. Learning Together

    Science.gov (United States)

    Kaufman, Sherry

    2014-01-01

    In spring 2012, Sherry Kaufman, a consultant at Francis W. Parker School in Chicago, was asked to support kindergarten teachers in deepening their practice of constructivism and exploring the Reggio Emilia approach to early childhood education. Central to such an approach is the belief that all learning is socially constructed through interaction…

  19. Learning Mongoid

    CERN Document Server

    Rege, Gautam

    2013-01-01

    A step-by-step tutorial with focused examples that will help you build scalable, high performance Rails web applications with Mongoid.If you are an application developer who wants to learn how to use Mongoid in a Rails application, this book will be great for you. You are expected to be familiar with MongoDB and Ruby.

  20. Learning Lichens

    Science.gov (United States)

    Thorne, Sarah

    2017-01-01

    The lichen is an ideal subject for student study because it is omnipresent in school yards, easily collected and observed year-round, a pioneer of evolution on land, and a bioindicator of air pollution. After doing fieldwork on this unusual composite organism as an apprentice with a team of lichenologists, Sarah Thorne developed Learning Lichens.…

  1. Learning Ionic

    CERN Document Server

    Ravulavaru, Arvind

    2015-01-01

    This book is intended for those who want to learn how to build hybrid mobile applications using Ionic. It is also ideal for people who want to explore theming for Ionic apps. Prior knowledge of AngularJS is essential to complete this book successfully.

  2. Supervised Learning

    Science.gov (United States)

    Rokach, Lior; Maimon, Oded

    This chapter summarizes the fundamental aspects of supervised methods. The chapter provides an overview of concepts from various interrelated fields used in subsequent chapters. It presents basic definitions and arguments from the supervised machine learning literature and considers various issues, such as performance evaluation techniques and challenges for data mining tasks.

  3. Learning Analytics

    Directory of Open Access Journals (Sweden)

    Erik Duval

    2012-06-01

    Full Text Available This paper provides a brief introduction to the domain of ‘learning analytics’. We first explain the background and idea behind the concept. Then we give a brief overview of current research issues. We briefly list some more controversial issues before concluding.

  4. Learning Ansible

    CERN Document Server

    Mohaan, Madhurranjan

    2014-01-01

    If you want to learn how to use Ansible to automate an infrastructure, either from scratch or to augment your current tooling with Ansible, then this is the book for you. It has plenty of practical examples to help you get to grips with Ansible.

  5. Learning Physics

    International Nuclear Information System (INIS)

    Cohen, E.

    2005-01-01

    Full Text:The issue of Teaching physics vs Learning physics in our institutions of higher learning will be discussed. Physics is taught mainly by frontal lectures an old (and proven) method. The great advancements of the Information Age are introduced by exposing the students to vast amounts of computerized information and directing them to numerical problem solving by interacting with the computer. These modern methods have several drawbacks: 1. Students get the impression of easy material acquisition while in fact it becomes superficial. 2. There is little integration of topics that are taught in different courses. 3. Insufficient interest is built among undergraduate students to pursue studies that involve deeper thinking and independent research (namely, studies towards a doctoral degree). Learning physics is a formative process in the education of physicists, natural scientists and engineers. It must be based on discussions and exchange of ideas among the students, since understanding the studied material means being able to explain it to a colleague. Some universities in the US initiated programs of learning physics by creating an environment in which small groups of students are engaged in discussing material, jointly solving problems and jointly conducting simulated experiments. This is done under the supervision of a mentor. Suggestions for implementing this method in Israel will be discussed

  6. Computer-Based Learning in Open and Distance Learning Institutions in Nigeria: Cautions on Use of Internet for Counseling

    Science.gov (United States)

    Okopi, Fidel Onjefu; Odeyemi, Olajumoke Janet; Adesina, Adewale

    2015-01-01

    The study has identified the areas of strengths and weaknesses in the current use of Computer Based Learning (CBL) tools in Open and Distance Learning (ODL) institutions in Nigeria. To achieve these objectives, the following research questions were proposed: (i) What are the computer-based learning tools (soft and hard ware) that are actually in…

  7. Reinforcement learning improves behaviour from evaluative feedback

    Science.gov (United States)

    Littman, Michael L.

    2015-05-01

    Reinforcement learning is a branch of machine learning concerned with using experience gained through interacting with the world and evaluative feedback to improve a system's ability to make behavioural decisions. It has been called the artificial intelligence problem in a microcosm because learning algorithms must act autonomously to perform well and achieve their goals. Partly driven by the increasing availability of rich data, recent years have seen exciting advances in the theory and practice of reinforcement learning, including developments in fundamental technical areas such as generalization, planning, exploration and empirical methodology, leading to increasing applicability to real-life problems.

  8. Understanding Learning in World Society: Qualitative Reconstructive Research in Global Learning and Learning for Sustainability

    Science.gov (United States)

    Scheunpflug, Annette; Krogull, Susanne; Franz, Julia

    2016-01-01

    Global learning aims to change behaviour and attitudes. Changes in these areas are not easy to assess. This article discusses the documentary method, which belongs to the group of qualitative reconstructive research methods. The authors argue that this method allows reflection on collective orientations and tacit knowledge. The different steps of…

  9. Models to support students’ understanding of measuring area of circles

    Science.gov (United States)

    Rejeki, S.; Putri, R. I. I.

    2018-01-01

    Many studies showed that enormous students got confused about the concepts of measuring area of circles. The main reason is because mathematics classroom practices emphasized on memorizing formulas rather than understanding concepts. Therefore, in this study, a set of learning activities were designed as an innovation in learning area measurement of circles. The activities involved two models namely grid paper and reshaping which are respectively as a means and a strategy to support students’ learning of area measurement of circles. Design research was used as the research approach to achieve the aim. Thirty-eight of 8th graders in Indonesia were involved in this study. In this study, together with the contextual problems, the grid paper and reshaping sectors, which used as the models in this learning, helped the students to gradually develop their understanding of the area measurement of circles. The grid papers plays important role in comparing and estimating areas. Whereas, the reshaping sectors might support students’ understanding of the circumference and the area measurement of circles. Those two models could be the tool for promoting the informal theory of area measurement. Besides, the whole activities gave important role on distinguishing the area and perimeter of circles.

  10. Influences of Formal Learning, Personal Learning Orientation, and Supportive Learning Environment on Informal Learning

    Science.gov (United States)

    Choi, Woojae; Jacobs, Ronald L.

    2011-01-01

    While workplace learning includes formal and informal learning, the relationship between the two has been overlooked, because they have been viewed as separate entities. This study investigated the effects of formal learning, personal learning orientation, and supportive learning environment on informal learning among 203 middle managers in Korean…

  11. Learning expressive ontologies

    CERN Document Server

    Völker, J

    2009-01-01

    This publication advances the state-of-the-art in ontology learning by presenting a set of novel approaches to the semi-automatic acquisition, refinement and evaluation of logically complex axiomatizations. It has been motivated by the fact that the realization of the semantic web envisioned by Tim Berners-Lee is still hampered by the lack of ontological resources, while at the same time more and more applications of semantic technologies emerge from fast-growing areas such as e-business or life sciences. Such knowledge-intensive applications, requiring large scale reasoning over complex domai

  12. Learning Bing maps API

    CERN Document Server

    Sinani, Artan

    2013-01-01

    This is a practical, hands-on guide with illustrative examples, which will help you explore the vast universe of Bing maps.If you are a developer who wants to learn how to exploit the numerous features of Bing Maps then this book is ideal for you. It can also be useful for more experienced developers who wish to explore other areas of the APIs. It is assumed that you have some knowledge of JavaScript, HTML, and CSS. For some chapters a working knowledge of .Net and Visual Studio is also needed.

  13. Learning from las Cuencas

    DEFF Research Database (Denmark)

    2016-01-01

    Aprendiendo de las Cuencas (Learning from las Cuencas) research project, awarded with the EU Prize for Cultural Heritage / Europa Nostra Awards 2015, provides a new perspective of industrial cultural landscapes. Despite being focused on a local environment, the coal mining area of the Cuencas...... economic and social structures came to host busy urban agglomerations of unexpected density in their very heart. This heretical urban configuration is equally the result of the impact of economic interests in a specific space and in a relatively short lapse of time. Consequently, the co...

  14. An Exploratory Study in Nursing Education: Factors Influencing Nursing Students' Acceptance of Mobile Learning

    OpenAIRE

    R. Abdulrahman; A. Eardley; A. Soliman

    2017-01-01

    The proliferation in the development of mobile learning (m-learning) has played a vital role in the rapidly growing electronic learning market. This relatively new technology can help to encourage the development of in learning and to aid knowledge transfer a number of areas, by familiarizing students with innovative information and communications technologies (ICT). M-learning plays a substantial role in the deployment of learning methods for nursing students by using the Internet and portab...

  15. From learning objects to learning activities

    DEFF Research Database (Denmark)

    Dalsgaard, Christian

    2005-01-01

    This paper discusses and questions the current metadata standards for learning objects from a pedagogical point of view. From a social constructivist approach, the paper discusses how learning objects can support problem based, self-governed learning activities. In order to support this approach......, it is argued that it is necessary to focus on learning activities rather than on learning objects. Further, it is argued that descriptions of learning objectives and learning activities should be separated from learning objects. The paper presents a new conception of learning objects which supports problem...... based, self-governed activities. Further, a new way of thinking pedagogy into learning objects is introduced. It is argued that a lack of pedagogical thinking in learning objects is not solved through pedagogical metadata. Instead, the paper suggests the concept of references as an alternative...

  16. The dose-area product in DSA

    International Nuclear Information System (INIS)

    Gfirtner, H.

    1995-01-01

    In DSA, the dose-area product shows a very good correlation with the maximum incidence dose. It may therefore serve as a reliable basis for the assessment of radiation doses to patients. The dose-area product is also a useful tool for the detection pf peak shifts in the radiation curves for certain investigations. In view of the considerable scatter of the values for the dose-area product these must, however, be subjected to an additional statistical analysis. Provided that this rule is observed, the dose-area product will considerably gain in importance for the monitoring of radiation exposures of patients. A very noteworthy learning effect could be achieved, if it would be made mandatory for those statistical analyses to be carried out not only on an investigation-specific but also an investigator-specific basis. The latter is particularly true of teaching hospitals. (orig./VHE) [de

  17. How we learn

    DEFF Research Database (Denmark)

    Illeris, Knud

    How We Learn, deals with the fundamental issues of the processes of learning, critically assessing different types of learning and obstacles to learning. It also considers a broad range of other important questions in relation to learning such as: modern research into learning and brain functions......, self-perception, motivation and competence development, teaching, intelligence and learning style, learning in relation to gender and life age. The book provides a comprehensive introduction to both traditional learning theory and the newest international research into learning processes, while...... at the same time being an innovative contribution to a new and more holistic understanding of learning including discussion on school-based learning, net-based learning, workplace learning and educational politics. How We Learn examines all the key factors that help to create a holistic understanding of what...

  18. Personal Learning Environments for Language Learning

    Directory of Open Access Journals (Sweden)

    Panagiotis Panagiotidis

    2013-02-01

    Full Text Available The advent of web 2.0 and the developments it has introduced both in everyday practice and in education have generated discussion and reflection concerning the technologies which higher education should rely on in order to provide the appropriate e-learning services to future students. In this context, the Virtual Learning Environments (VLEs, which are widely used in universities around the world to provide online courses to every specific knowledge area and of course in foreign languages, have started to appear rather outdated. Extensive research is under progress, concerning the ways in which educational practice will follow the philosophy of web 2.0 by adopting the more learner-centred and collaborative approach of e-learning 2.0 applications, without abandoning the existing investment of the academic institutions in VLEs, which belong to the e-learning 1.0 generation, and, thus, serve a teacher- or coursecentred approach. Towards this direction, a notably promising solution seems to be the exploitation of web 2.0 tools in order to form Personal Learning Environments (PLEs. These are systems specifically designed or created by the combined use of various external applications or tools that can be used independently or act as a supplement to existing VLE platforms, creating a personalized learning environment. In a PLE, students have the opportunity to form their own personal way of working, using the tools they feel are most appropriate to achieve their purpose. Regarding the subject of foreign language, in particular, the creation of such personalized and adaptable learning environments that extend the traditional approach of a course seems to promise a more holistic response to students’ needs, who, functioning in the PLE, could combine learning with their daily practice, communicating and collaborating with others, thus increasing the possibilities of access to multiple sources, informal communication and practice and eventually

  19. Personal Learning Environments for Language Learning

    Directory of Open Access Journals (Sweden)

    Panagiotis Panagiotidis

    2012-12-01

    Full Text Available The advent of web 2.0 and the developments it has introduced both in everyday practice and in education have generated discussion and reflection concerning the technologies which higher education should rely on in order to provide the appropriate e-learning services to future students.In this context, the Virtual Learning Environments (VLEs, which are widely used in universities around the world to provide online courses to every specific knowledge area and of course in foreign languages, have started to appear rather outdated. Extensive research is under progress, concerning the ways in which educational practice will follow the philosophy of web 2.0 by adopting the more learner-centred and collaborative approach of e-learning 2.0 applications, without abandoning the existing investment of the academic institutions in VLEs, which belong to the e-learning 1.0 generation, and, thus, serve a teacher- or coursecentred approach.Towards this direction, a notably promising solution seems to be the exploitation of web 2.0 tools in order to form Personal Learning Environments (PLEs. These are systems specifically designed or created by the combined use of various external applications or tools that can be used independently or act as a supplement to existing VLE platforms, creating a personalized learning environment. In a PLE, students have the opportunity to form their own personal way of working, using the tools they feel are most appropriate to achieve their purpose.Regarding the subject of foreign language, in particular, the creation of such personalized and adaptable learning environments that extend the traditional approach of a course seems to promise a more holistic response to students’ needs, who, functioning in the PLE, could combine learning with their daily practice, communicating and collaborating with others, thus increasing the possibilities of access to multiple sources, informal communication and practice and eventually acquiring

  20. Case-based learning in VTLE: An effective strategy for improving learning design

    OpenAIRE

    Guàrdia Ortiz, Lourdes; Sangrà, Albert; Maina, Marcelo Fabián

    2014-01-01

    This article presents preliminary research from an instructional design perspective on the design of the case method as an integral part of pedagogy and technology. Key features and benefits using this teaching and learning strategy in a Virtual Teaching and Learning Environment (VTLE) are identified, taking into account the requirements of the European Higher Education Area (EHEA) for a competence-based curricula design. The implications of these findings for a learning object appro...

  1. Learning by watching Vernacular Iñupiaq-Inuit design learning as inspiration for design education

    OpenAIRE

    Janne Beate Reitan

    2014-01-01

    In this article, I explore a single case of vernacular clothing design — the practice and learning of design for contemporary Iñupiaq-Inuit clothing made by women from Kaktovik in Northern Alaska — and I hope to contribute to a better understanding of design practice and learning in general. Design research has many unexplored areas, and one of these omissions is vernacular design, or folk design. In my opinion, professional and academic design may well have something to learn from vernacular...

  2. Image Classification, Deep Learning and Convolutional Neural Networks : A Comparative Study of Machine Learning Frameworks

    OpenAIRE

    Airola, Rasmus; Hager, Kristoffer

    2017-01-01

    The use of machine learning and specifically neural networks is a growing trend in software development, and has grown immensely in the last couple of years in the light of an increasing need to handle big data and large information flows. Machine learning has a broad area of application, such as human-computer interaction, predicting stock prices, real-time translation, and self driving vehicles. Large companies such as Microsoft and Google have already implemented machine learning in some o...

  3. Kees: a Practical Ict Solution for Rural Areas

    Science.gov (United States)

    Dai, Xiaoye; Tabirca, Sabin; Lenihan, Eamon

    This paper introduces a practical e-learning system, identified as Knowledge Exchange E-learning System (abbr. KEES), for knowledge distribution in rural areas. Particularly, this paper is about providing a virtual teaching and learning environment for small holders in agriculture in those rural areas. E-learning is increasingly influencing the agricultural education (information and knowledge learning) in all forms and the current e-learning in agricultural education appears in informal and formal methods in many developed countries and some developing areas such as Asian Pacific regions. KEES is a solution to provide education services including other services of information distribution and knowledge sharing to local farmers, local institutes or local collection of farmers. The design of KEES is made to meet the needs of knowledge capacity building, experience sharing, skill upgrading, and information exchanging in agriculture for different conditions in rural areas. The system allows the online lecture/training materials to be distributed simultaneously with all multimedia resources through different file formats across different platforms. The teaching/training content can be contextless and broad, allowing for greater participation by more small holders, commercial farmers, extension workers, agriculturists, educators, and other agriculture-related experts. The relative inconsistency in content gives farmers more localised and useful knowledge. The framework of KEES has been designed to be a three-tier architecture logic workflow, which can configure the progressive approach for KEES to pass on and respond to different requests/communications between the client side and the server.

  4. M3-learning - Exploring mobile multimedia microblogging learning

    Directory of Open Access Journals (Sweden)

    Carmen Holotescu

    2011-12-01

    Full Text Available In the context in which the new frontier of Web 2.0 is marked out by the use of mobile devices anywhere, anytime, by anyone and anything, our paper aims at valorizing the mobility parameters of the Cirip.eu platform in order to integrate the microblogging technology in higher education, for the purpose of increasing knowledge and learning in authentic mobile learning environments. As an innovation for the mobile learning through microblogging, we mention the following elements:•On a technological level: localize / join mobile groups, access content and OERs, share opinions, work collaboratively on multimedia objects, participate in polls / quizzes, receive / send updates via SMS, create / manage mobile PLEs, recover password via SMS;On a pedagogical level: develop multimedia educational resources / learning objects by using mobile technologies specific for different subject areas to be teached with microblogging.Thus, the aim of our experiment is not only to provide a general overview / a framework for using microblogging through mobile technologies, but also a way to enhance teaching and learning in formal university courses and to present mobile microblogging learning benefits, opportunities, limits and risks.

  5. Facilitating vocabulary learning through metacognitive strategy training and learning journals

    Directory of Open Access Journals (Sweden)

    Carmen Luz Trujillo Becerra

    2015-10-01

    Full Text Available This paper reports on a mixed- method action research study carried out with participants from three public high schools in different regions in Colombia: Bogotá, Orito and Tocaima.  The overall aim of this study was to analyze whether training in the use of metacognitive strategies (MS through learning journals could improve the participants’ vocabulary learning. The data, collected mainly through students’ learning journals, teachers’ field notes, questionnaires and mind maps, was analyzed following the principles of grounded theory. The results suggested that the training helped participants to develop metacognitive awareness of their vocabulary learning process and their lexical competence regarding daily routines.  Participants also displayed some improvements in critical thinking and self-directed attitudes that could likewise benefit their vocabulary learning. Finally, the study proposes that training in metacognitive and vocabulary strategies should be implemented in language classrooms to promote a higher degree of student control over learning and to facilitate the transference of these strategies to other areas of knowledge.

  6. International Service Learning: Analytical Review of Published Research Literature

    Science.gov (United States)

    Dixon, Brett

    2015-01-01

    International service learning (ISL) is an emerging area of international education. This paper summarizes academic journal articles on ISL programs and organizes the relevant publications by academic disciplines, service learning project areas, and other topics. The basis for this review is relevant literature from full-text scholarly peer…

  7. SUGARLOAF ROADLESS AREA, CALIFORNIA.

    Science.gov (United States)

    Powell, Robert E.; Campbell, Harry W.

    1984-01-01

    On the basis of geologic, geochemical, and geophysical investigations and a survey of mines, quarries, and prospects the Sugarloaf Roadless Area, California, has little promise for the occurrence of metallic mineral or energy resources. Units of carbonate rock and graphitic schist have demonstrated resources of magnesian marble and graphite. Sand, gravel, and construction stone other than carbonate rock are present in the roadless area, but similar or better quality materials are abundant and more accessible outside the area.

  8. Audiovisual Association Learning in the Absence of Primary Visual Cortex

    OpenAIRE

    Seirafi, Mehrdad; De Weerd, Peter; Pegna, Alan J.; de Gelder, Beatrice

    2016-01-01

    Learning audiovisual associations is mediated by the primary cortical areas; however, recent animal studies suggest that such learning can take place even in the absence of the primary visual cortex. Other studies have demonstrated the involvement of extra-geniculate pathways and especially the superior colliculus (SC) in audiovisual association learning. Here, we investigated such learning in a rare human patient with complete loss of the bilateral striate cortex. We carried out an implicit ...

  9. Intergenerational learning in Hong Kong: a narrative inquiry

    OpenAIRE

    Ho, Cherri

    2008-01-01

    The main objective of this study was to examine the intergenerational learning behaviour within the family between Generation X parents and their Generation Y teenage children. This study was designed to investigate the nature of intergenerational knowledge exchange, to identify the characteristics of learning behaviour and culture in such 'learning families', and to find out the subject areas that parents could learn from their teenage children. The sample of this study was made up of t...

  10. Use of Effective Audio in E-learning Courseware

    OpenAIRE

    Ray, Kisor

    2015-01-01

    E-Learning uses electronic media, information & communication technologies to provide education to the masses. E-learning deliver hypertext, text, audio, images, animation and videos using desktop standalone computer, local area network based intranet and internet based contents. While producing an e-learning content or course-ware, a major decision making factor is whether to use audio for the benefit of the end users. Generally, three types of audio can be used in e-learning: narration, mus...

  11. Chemical Education Research: Improving Chemistry Learning

    Science.gov (United States)

    Dudley Herron, J.; Nurrenbern, Susan C.

    1999-10-01

    Chemical education research is the systematic investigation of learning grounded in a theoretical foundation that focuses on understanding and improving learning of chemistry. This article reviews many activities, changes, and accomplishments that have taken place in this area of scholarly activity despite its relatively recent emergence as a research area. The article describes how the two predominant broad perspectives of learning, behaviorism and constructivism, have shaped and influenced chemical education research design, analysis, and interpretation during the 1900s. Selected research studies illustrate the range of research design strategies and results that have contributed to an increased understanding of learning in chemistry. The article also provides a perspective of current and continuing challenges that researchers in this area face as they strive to bridge the gap between chemistry and education - disciplines with differing theoretical bases and research paradigms.

  12. Investigating Possibilities for E-Learning

    DEFF Research Database (Denmark)

    Ørngreen, Rikke; Nielsen, Janni; Tweddell Levinsen, Karin

    2004-01-01

    of and with theLundbeck Institute, human computer interaction issues as well as the first designideas are disseminated. As such the report does not provide a thorough frame ofreferences within the HCI-area (Human Computer Interaction) and e-learning area,as these are seen as implicit for the understanding...... process in the pre-phase and among thepartners, also clarifying how we found the focus areas of the pre-phase, known as theproject map (in section 1.1). The next chapter (chapter 0) provides a detailed accountof the pre-phase project results, taking a holistic view to the e-learning project...... at the Lundbeck Institute, investigating the current activities, the lessons learnedwithin Continuing Medical Education (CME), the visions of e-learning and thepeople it is targeted at. Chapter 4 and 5 provides the more external perspectivesbeing based on investigations of learning models and pedagogical tools...

  13. Aperture area measurement facility

    Data.gov (United States)

    Federal Laboratory Consortium — NIST has established an absolute aperture area measurement facility for circular and near-circular apertures use in radiometric instruments. The facility consists of...

  14. Radon affected areas: Scotland

    International Nuclear Information System (INIS)

    Miles, J.C.H.; Green, B.M.R.; Lomas, P.R.

    1993-01-01

    Board advice on radon in homes issued in 1990 specifies that areas of the UK where 1% or more of homes exceed the Action Level of 200 becquerels per cubic metre of air should be regarded as Affected Areas. Results of radon measurements in homes in the districts of Kincardine and Deeside and Gordon in Grampian Region and Caithness and Sutherland in Highland Region are mapped and used to delineate Affected Areas in these areas where required. The Scottish Office is advised to consider the desirability of developing guidance on precautions against radon in future homes. (author)

  15. Fishing Access Areas

    Data.gov (United States)

    Vermont Center for Geographic Information — The Vermont Fish & Wildlife Department maintains developed fishing access areas. These sites provide public access to waters in Vermont for shore fishing...

  16. CVP Service Area

    Data.gov (United States)

    California Natural Resource Agency — Federal Water Contract Service Area boundaries are incorporated boundaries of districts having contracts with the U.S. Bureau of Reclamation (Reclamation), within...

  17. Communication. Problem learning in the communication across expert areas

    International Nuclear Information System (INIS)

    Drottz Sjoeberg, B. M.

    2001-05-01

    The report presents results from a project on communication involving nuclear safety personnel and members of the safety council and personnel in administrative positions within the community of Oskarshamn. Data were collected in discussions and by questionnaires. Totally 42 persons participated in the study. The aim of the project was to pinpoint problems in communication about safety issues and thus to facilitate a development of communication between groups and in the work on nuclear safety within the local community. A number of open ended questions were included in the questionnaire together with large number of rating tasks. The participants rated items, developed primarily in the group discussions, regarding information transmission, handling of difficult situations and what could be done to improve the communication situation. The results showed e.g. that communicative ability was best predicted by the index of 'context uncertainty' in both groups, but that the groups differed with respect to the salience of other predictors. Thus, an index named 'ability to synthesize' was a good predictor in the group of nuclear personnel, whereas human and structural aspects of information transmission, as well as the ability to reach across boundaries, were additional predictors in the group of Oskarshamn community personnel. The results thus showed that the participants viewed communication problems and solutions from the perspective of their own work perspective rather than as issues to be dealt with across different expert groups. The report underlines the necessity to regard contents of communicated messages as well as the framework to which they are related within the same context for an optimal adjustment to expectations, attitudes and requirements. Suggestions for future work included clarifications of which groups that are relevant for information and their specific interests, increased clarity regarding specific roles and information paths with respect to communicators, guidelines regarding what material should be given priority for effective reviews of important aspects of the safety work. It was furthermore suggested that training was used with respect to media presentations and that courses were given on how the media works, and that systematic work was invested into interpreting technical matters and terminology into common language. (au)

  18. Indigenisation of high risk learning areas: A case for accounting ...

    African Journals Online (AJOL)

    Indilinga: African Journal of Indigenous Knowledge Systems ... In extolling the virtues of indigenization, this article logically adopts an ontological paradigm (life reality) as against an epistemology (theory of knowledge) and, worse still, ... Keywords: Account, accounting, accounting equation, assets, equity, liabilities, riches.

  19. Lessons Learned on Bioaugmentation of DNAPL Source Zone Areas

    Science.gov (United States)

    2007-10-01

    but rather have stringers, ganglia or blobs that can create an “effective pool length”. As the leading edge of these discontinuous DNAPL free-phases...terminal restriction fragment length polymorphism (T-RFLP), denaturing gradient gel electrophoresis (DGGE), and fluorescent in situ hybridization ( FISH ...question of interest (e.g. PCR, FISH , DGGE); (ii) sampling location(s); (iii) an appropriate sampling procedure; and (iv) an appropriate sample handling

  20. Embedding Affective Learning Outcomes in Library Instruction

    Directory of Open Access Journals (Sweden)

    Ellysa Stern Cahoy

    2012-12-01

    Full Text Available While information literacy in higher education has long been focused on cognitive learning outcomes, attention must be paid to students’ affective, emotional needs throughout the research process. This article identifies models for embedding affective learning outcomes within information literacy instruction, and provides strategies to help librarians discover, articulate, and address students’ self-efficacy, motivation, emotions and attitudes. Worksheets to assist in creating affective learning outcomes are included to bring structure to an area of learning that is often challenging to articulate and measure. Also included in the article are the results of a recent survey of instruction librarians’ familiarity and inclusion of affective learning outcomes within teaching and learning initiatives.

  1. Achieving HBSE Competencies through Service-learning

    Directory of Open Access Journals (Sweden)

    Sarah E. Twill

    2011-04-01

    Full Text Available Service-learning pedagogy allows social work educators to create meaningful learning opportunities for students and better prepare them for practicum, while at the same time, meeting a community need. This paper outlines the relevance of incorporating service-learning into the social work curriculum, specifically the human behavior and the social environment (HBSE area. Using Bloom’s taxonomy as a guide, the authors propose how the CSWE competencies and practice behaviors specific to HBSE may be assessed using service-learning pedagogy. An example is reviewed to illustrate how service-learning can assist faculty and students achieve the HBSE competencies and practice behaviors. Finally, implications for service-learning as a pedagogical strategy for social work education are discussed.

  2. Exploring an experiential learning project through Kolb's Learning Theory using a qualitative research method

    Science.gov (United States)

    Yuk Chan, Cecilia Ka

    2012-08-01

    Experiential learning pedagogy is taking a lead in the development of graduate attributes and educational aims as these are of prime importance for society. This paper shows a community service experiential project conducted in China. The project enabled students to serve the affected community in a post-earthquake area by applying their knowledge and skills. This paper documented the students' learning process from their project goals, pre-trip preparations, work progress, obstacles encountered to the final results and reflections. Using the data gathered from a focus group interview approach, the four components of Kolb's learning cycle, the concrete experience, reflection observation, abstract conceptualisation and active experimentation, have been shown to transform and internalise student's learning experience, achieving a variety of learning outcomes. The author will also explore how this community service type of experiential learning in the engineering discipline allowed students to experience deep learning and develop their graduate attributes.

  3. Using Learning Games to Meet Learning Objectives

    DEFF Research Database (Denmark)

    Henriksen, Thomas Duus

    2013-01-01

    This paper addresses the question on how learning games can be used to meet with the different levels in Bloom’s and the SOLO taxonomy, which are commonly used for evaluating the learning outcome of educational activities. The paper discusses the quality of game-based learning outcomes based on a...... on a case study of the learning game 6Styles....

  4. Still to Learn from Vicarious Learning

    Science.gov (United States)

    Mayes, J. T.

    2015-01-01

    The term "vicarious learning" was introduced in the 1960s by Bandura, who demonstrated how learning can occur through observing the behaviour of others. Such social learning is effective without the need for the observer to experience feedback directly. More than twenty years later a series of studies on vicarious learning was undertaken…

  5. Learning Effectiveness of a Strategic Learning Course

    Science.gov (United States)

    Burchard, Melinda S.; Swerdzewski, Peter

    2009-01-01

    The effectiveness of a postsecondary strategic learning course for improving metacognitive awareness and regulation was evaluated through systematic program assessment. The course emphasized students' awareness of personal learning through the study of learning theory and through practical application of specific learning strategies. Students…

  6. Social Media and Seamless Learning: Lessons Learned

    Science.gov (United States)

    Panke, Stefanie; Kohls, Christian; Gaiser, Birgit

    2017-01-01

    The paper discusses best practice approaches and metrics for evaluation that support seamless learning with social media. We draw upon the theoretical frameworks of social learning theory, transfer learning (bricolage), and educational design patterns to elaborate upon different ideas for ways in which social media can support seamless learning.…

  7. Deep Learning

    DEFF Research Database (Denmark)

    Jensen, Morten Bornø; Bahnsen, Chris Holmberg; Nasrollahi, Kamal

    2018-01-01

    I løbet af de sidste 10 år er kunstige neurale netværk gået fra at være en støvet, udstødt tekno-logi til at spille en hovedrolle i udviklingen af kunstig intelligens. Dette fænomen kaldes deep learning og er inspireret af hjernens opbygning.......I løbet af de sidste 10 år er kunstige neurale netværk gået fra at være en støvet, udstødt tekno-logi til at spille en hovedrolle i udviklingen af kunstig intelligens. Dette fænomen kaldes deep learning og er inspireret af hjernens opbygning....

  8. Learning Java

    CERN Document Server

    Niemeyer, Patrick

    2005-01-01

    Version 5.0 of the Java 2 Standard Edition SDK is the most important upgrade since Java first appeared a decade ago. With Java 5.0, you'll not only find substantial changes in the platform, but to the language itself-something that developers of Java took five years to complete. The main goal of Java 5.0 is to make it easier for you to develop safe, powerful code, but none of these improvements makes Java any easier to learn, even if you've programmed with Java for years. And that means our bestselling hands-on tutorial takes on even greater significance. Learning Java is the most widely sou

  9. Doing Dissections Differently: A Structured, Peer-Assisted Learning Approach to Maximizing Learning in Dissections

    Science.gov (United States)

    Hall, Emma R.; Davis, Rachel C.; Weller, Renate; Powney, Sonya; Williams, Sarah B.

    2013-01-01

    Areas of difficulty faced by our veterinary medicine students, with respect to their learning in dissection classes, were identified. These challenges were both general adult-learning related and specific to the discipline of anatomy. Our aim was to design, implement, and evaluate a modified reciprocal peer-assisted/team-based learning…

  10. Learning Technologies: Affective and Social Issues in Computer-Supported Collaborative Learning

    Science.gov (United States)

    Jones, Ann; Issroff, Kim

    2005-01-01

    This paper is concerned with "affective" issues in learning technologies in a collaborative context. Traditionally in learning there has been a division between cognition and affect: where cognition is concerned with skills and processes such as thinking and problem-solving and affect with emotional areas such as motivation, attitudes, feelings.…

  11. Learning Active Citizenship: Conflicts between Students' Conceptualisations of Citizenship and Classroom Learning Experiences in Lebanon

    Science.gov (United States)

    Akar, Bassel

    2016-01-01

    Education for active citizenship continues to be a critical response for social cohesion and reconstruction in conflict-affected areas. Oftentimes, approaches to learning and teaching in such contexts can do as much harm as good. This study qualitatively examines 435 students' reflections of their civics classroom learning experiences and their…

  12. E-Learning: Investigating Students' Acceptance of Online Learning in Hospitality Programs

    Science.gov (United States)

    Song, Sung Mi

    2010-01-01

    Students' perceptions and satisfaction with online learning courses have drawn a lot of attention from educational practitioners and researchers. However, an empirical study of perception and satisfaction with online learning is yet to be found in the hospitality area. Thus, this study addresses gaps in previous studies. This study was…

  13. Collective Machine Learning: Team Learning and Classification in Multi-Agent Systems

    Science.gov (United States)

    Gifford, Christopher M.

    2009-01-01

    This dissertation focuses on the collaboration of multiple heterogeneous, intelligent agents (hardware or software) which collaborate to learn a task and are capable of sharing knowledge. The concept of collaborative learning in multi-agent and multi-robot systems is largely under studied, and represents an area where further research is needed to…

  14. Facilitating Multiple Intelligences Through Multimodal Learning Analytics

    Directory of Open Access Journals (Sweden)

    Ayesha PERVEEN

    2018-01-01

    Full Text Available This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner’s 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as multiple intelligences by online education systems and then suggests a framework of the advanced form of learning analytics i.e., multimodal learning analytics for tracing and facilitating multiple intelligences while they are engaged in online ubiquitous learning. As multimodal learning analytics is still an evolving area, it poses many challenges for technologists, educationists as well as organizational managers. Learning analytics make machines meet humans, therefore, the educationists with an expertise in learning theories can help technologists devise latest technological methods for multimodal learning analytics and organizational managers can implement them for the improvement of online education. Therefore, a careful instructional design based on a deep understanding of students’ learning abilities, is required to develop teaching plans and technological possibilities for monitoring students’ learning paths. This is how learning analytics can help design an adaptive instructional design based on a quick analysis of the data gathered. Based on that analysis, the academicians can critically reflect upon the quick or delayed implementation of the existing instructional design based on students’ cognitive abilities or even about the single or double loop learning design. The researcher concludes that the online education is multimodal in nature, has the capacity to endorse multiliteracies and, therefore, multiple intelligences can be tracked and facilitated through multimodal learning analytics in an online mode. However, online teachers’ training both in technological implementations and

  15. Integrative learning for practicing adaptive resource management

    Directory of Open Access Journals (Sweden)

    Craig A. McLoughlin

    2015-03-01

    Full Text Available Adaptive resource management is a learning-by-doing approach to natural resource management. Its effective practice involves the activation, completion, and regeneration of the "adaptive management cycle" while working toward achieving a flexible set of collaboratively identified objectives. This iterative process requires application of single-, double-, and triple-loop learning, to strategically modify inputs, outputs, assumptions, and hypotheses linked to improving policies, management strategies, and actions, along with transforming governance. Obtaining an appropriate balance between these three modes of learning has been difficult to achieve in practice and building capacity in this area can be achieved through an emphasis on reflexive learning, by employing adaptive feedback systems. A heuristic reflexive learning framework for adaptive resource management is presented in this manuscript. It is built on the conceptual pillars of the following: stakeholder driven adaptive feedback systems; strategic adaptive management (SAM; and hierarchy theory. The SAM Reflexive Learning Framework (SRLF emphasizes the types, roles, and transfer of information within a reflexive learning context. Its adaptive feedback systems enhance the facilitation of single-, double-, and triple-loop learning. Focus on the reflexive learning process is further fostered by streamlining objectives within and across all governance levels; incorporating multiple interlinked adaptive management cycles; having learning as an ongoing, nested process; recognizing when and where to employ the three-modes of learning; distinguishing initiating conditions for this learning; and contemplating practitioner mandates for this learning across governance levels. The SRLF is a key enabler for implementing the "adaptive management cycle," and thereby translating the theory of adaptive resource management into practice. It promotes the heuristics of adaptive management within a cohesive

  16. Learning Raspbian

    CERN Document Server

    Harrington, William

    2015-01-01

    This book is intended for developers who have worked with the Raspberry Pi and who want to learn how to make the most of the Raspbian operating system and their Raspberry Pi. Whether you are a beginner to the Raspberry Pi or a seasoned expert, this book will make you familiar with the Raspbian operating system and teach you how to get your Raspberry Pi up and running.

  17. Overview of deep learning in medical imaging.

    Science.gov (United States)

    Suzuki, Kenji

    2017-09-01

    The use of machine learning (ML) has been increasing rapidly in the medical imaging field, including computer-aided diagnosis (CAD), radiomics, and medical image analysis. Recently, an ML area called deep learning emerged in the computer vision field and became very popular in many fields. It started from an event in late 2012, when a deep-learning approach based on a convolutional neural network (CNN) won an overwhelming victory in the best-known worldwide computer vision competition, ImageNet Classification. Since then, researchers in virtually all fields, including medical imaging, have started actively participating in the explosively growing field of deep learning. In this paper, the area of deep learning in medical imaging is overviewed, including (1) what was changed in machine learning before and after the introduction of deep learning, (2) what is the source of the power of deep learning, (3) two major deep-learning models: a massive-training artificial neural network (MTANN) and a convolutional neural network (CNN), (4) similarities and differences between the two models, and (5) their applications to medical imaging. This review shows that ML with feature input (or feature-based ML) was dominant before the introduction of deep learning, and that the major and essential difference between ML before and after deep learning is the learning of image data directly without object segmentation or feature extraction; thus, it is the source of the power of deep learning, although the depth of the model is an important attribute. The class of ML with image input (or image-based ML) including deep learning has a long history, but recently gained popularity due to the use of the new terminology, deep learning. There are two major models in this class of ML in medical imaging, MTANN and CNN, which have similarities as well as several differences. In our experience, MTANNs were substantially more efficient in their development, had a higher performance, and required a

  18. Brain mechanisms of flavor learning.

    Science.gov (United States)

    Yamamoto, Takashi; Ueji, Kayoko

    2011-01-01

    Once the flavor of the ingested food (conditioned stimulus, CS) is associated with a preferable (e.g., good taste or nutritive satisfaction) or aversive (e.g., malaise with displeasure) signal (unconditioned stimulus, US), animals react to its subsequent exposure by increasing or decreasing ingestion to the food. These two types of association learning (preference learning vs. aversion learning) are known as classical conditioned reactions which are basic learning and memory phenomena, leading selection of food and proper food intake. Since the perception of flavor is generated by interaction of taste and odor during food intake, taste and/or odor are mainly associated with bodily signals in the flavor learning. After briefly reviewing flavor learning in general, brain mechanisms of conditioned taste aversion is described in more detail. The CS-US association leading to long-term potentiation in the amygdala, especially in its basolateral nucleus, is the basis of establishment of conditioned taste aversion. The novelty of the CS detected by the cortical gustatory area may be supportive in CS-US association. After the association, CS input is conveyed through the amygdala to different brain regions including the hippocampus for contextual fear formation, to the supramammillary and thalamic paraventricular nuclei for stressful anxiety or memory dependent fearful or stressful emotion, to the reward system to induce aversive expression to the CS, or hedonic shift from positive to negative, and to the CS-responsive neurons in the gustatory system to enhance the responsiveness to facilitate to detect the harmful stimulus.

  19. Mobile Learning and Student Retention

    Directory of Open Access Journals (Sweden)

    Bharat Inder Fozdar

    2007-06-01

    Full Text Available Student retention in open and distance learning (ODL is comparatively poor to traditional education and, in some contexts, embarrassingly low. Literature on the subject of student retention in ODL indicates that even when interventions are designed and undertaken to improve student retention, they tend to fall short. Moreover, this area has not been well researched. The main aim of our research, therefore, is to better understand and measure students’ attitudes and perceptions towards the effectiveness of mobile learning. Our hope is to determine how this technology can be optimally used to improve student retention at Bachelor of Science programmes at Indira Gandhi National Open University (IGNOU in India. For our research, we used a survey. Results of this survey clearly indicate that offering mobile learning could be one method improving retention of BSc students, by enhancing their teaching/ learning and improving the efficacy of IGNOU’s existing student support system. The biggest advantage of this technology is that it can be used anywhere, anytime. Moreover, as mobile phone usage in India explodes, it offers IGNOU easy access to a larger number of learners. This study is intended to help inform those who are seeking to adopt mobile learning systems with the aim of improving communication and enriching students’ learning experiences in their ODL institutions.

  20. Guided discovery learning in geometry learning

    Science.gov (United States)

    Khasanah, V. N.; Usodo, B.; Subanti, S.

    2018-03-01

    Geometry is a part of the mathematics that must be learned in school. The purpose of this research was to determine the effect of Guided Discovery Learning (GDL) toward geometry learning achievement. This research had conducted at junior high school in Sukoharjo on academic years 2016/2017. Data collection was done based on student’s work test and documentation. Hypothesis testing used two ways analysis of variance (ANOVA) with unequal cells. The results of this research that GDL gave positive effect towards mathematics learning achievement. GDL gave better mathematics learning achievement than direct learning. There was no difference of mathematics learning achievement between male and female. There was no an interaction between sex differences and learning models toward student’s mathematics learning achievement. GDL can be used to improve students’ mathematics learning achievement in geometry.

  1. Quadrilaterals: Diagonals and Area

    Science.gov (United States)

    McGraw, Rebecca

    2017-01-01

    The task shared in this article provides geometry students with opportunities to recall and use basic geometry vocabulary, extend their knowledge of area relationships, and create area formulas. It is characterized by reasoning and sense making (NCTM 2009) and the "Construct viable arguments and critique the reasoning of others"…

  2. Operational Area Environmental Evaluations

    Energy Technology Data Exchange (ETDEWEB)

    Bailey-White, Brenda Eileen [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Nagy, Michael David [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Wagner, Katrina Marie [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Goodman, Thomas Richard [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Herring, Allen [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Catechis, Christopher S. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Kinghorn, Aubrianna Nicole [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Johnson, Ellie [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Barthel, Michael David [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Casaus, Benito [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2017-08-01

    The Operational Area Environmental Evaluation update provides a description of activities that have the potential to adversely affect natural and cultural resources, including soil, air, water, biological, ecological, and historical resources. The environmental sensitivity of an area is evaluated and summarized, which may facilitate informed management decisions as to where development may be prohibited, restricted, or subject to additional requirements.

  3. Contextual Teaching and Learning Approach of Mathematics in Primary Schools

    Science.gov (United States)

    Selvianiresa, D.; Prabawanto, S.

    2017-09-01

    The Contextual Teaching and Learning (CTL) approach is an approach involving active students in the learning process to discover the concepts learned through to knowledge and experience of the students. Similar to Piaget’s opinion that learning gives students an actives trying to do new things by relating their experiences and building their own minds. When students to connecting mathematics with real life, then students can looking between a conceptual to be learned with a concept that has been studied. So that, students can developing of mathematical connection ability. This research is quasi experiment with a primary school in the city of Kuningan. The result showed that CTL learning can be successful, when learning used a collaborative interaction with students, a high level of activity in the lesson, a connection to real-world contexts, and an integration of science content with other content and skill areas. Therefore, CTL learning can be applied by techer to mathematics learning in primary schools.

  4. Learning for Sustainability Among Faith-Based Organizations in Kenya

    Science.gov (United States)

    Moyer, Joanne M.; Sinclair, A. John; Diduck, Alan P.

    2014-08-01

    The complex and unpredictable contexts in which environmental and development work take place require an adaptable, learning approach. Faith-based organizations (FBOs) play a significant role in sustainability work around the world, and provide a unique setting in which to study learning. This paper explores individual learning for sustainability within two FBOs engaged in sustainability work in Kenya. Learning outcomes covered a broad range of areas, including the sustainability framework, environment/conservation, skills, community work, interpersonal engagement, and personal and faith development. These outcomes were acquired through embodied experience and activity, facilitation by the workplace, interpersonal interaction, personal reflection, and Bible study and worship. Grounded categories were compared to learning domains and processes described by Mezirow's transformative learning theory. The findings indicate that for learning in the sustainability field, instrumental learning and embodied learning processes are particularly important, and consequently they require greater attention in the theory when applied in this field.

  5. Technology for Education and Learning

    CERN Document Server

    2012 international conference on Technology for Education and Learning (ICTEL 2012)

    2012-01-01

    This volume contains 108 selected papers presented at the 2012 international conference on Technology for Education and Learning (ICTEL 2012), Macau, China, March 1-2, 2012. The conference brought together researchers working in various different areas of Technology for Education and Learning with a main emphasis on technology for business and economy in order to foster international collaborations and exchange of new ideas. This proceedings book has its focus on Technology for Economy, Finance and Education representing some of the major subareas presented at the conference.

  6. Learning to Learn Together with CSCL Tools

    Science.gov (United States)

    Schwarz, Baruch B.; de Groot, Reuma; Mavrikis, Manolis; Dragon, Toby

    2015-01-01

    In this paper, we identify "Learning to Learn Together" (L2L2) as a new and important educational goal. Our view of L2L2 is a substantial extension of "Learning to Learn" (L2L): L2L2 consists of learning to collaborate to successfully face L2L challenges. It is inseparable from L2L, as it emerges when individuals face problems…

  7. Examining the Guidance and Counselling Students' Perceptions about English Language Learning Beliefs

    Science.gov (United States)

    Kaymakamoglu, Sibel Ersel

    2017-01-01

    Since contemporary views of learning and teaching place learners in the center of learning process, most of the researchers and practitioners have directed their attention to understanding what goes on in the mind of the learners during the process of learning and teaching. In the area of English language learning and teaching this perspective…

  8. Animals, Emperors, Senses: Exploring a Story-Based Learning Design in a Museum Setting

    Science.gov (United States)

    Murmann, Mai; Avraamidou, Lucy

    2014-01-01

    The aim of this qualitative case study was to explore the use of stories as tools for learning within formal and informal learning environments. The design was based on three areas of interest: (a) the story as a tool for learning; (b) the student as subjects engaging with the story; and (c) the context in which the story learning activity takes…

  9. Development and Validation of a Learning Analytics Framework: Two Case Studies Using Support Vector Machines

    Science.gov (United States)

    Ifenthaler, Dirk; Widanapathirana, Chathuranga

    2014-01-01

    Interest in collecting and mining large sets of educational data on student background and performance to conduct research on learning and instruction has developed as an area generally referred to as learning analytics. Higher education leaders are recognizing the value of learning analytics for improving not only learning and teaching but also…

  10. Learning from disasters

    International Nuclear Information System (INIS)

    Taylor, R.

    2005-01-01

    Key common issues for preventing disasters are maintaining competence, application of acceptable standards, questioning attitude, organisational 'complacency'/loss of focus/organisational drift, poor communication, loss of 'oversight', management of change (often involving contractorisation) and external pressures. Lessons learned in leadership are well communicated standards and expectations, high visibility; 'actions align with words', demonstration that safety has priority; no 'turning a blind eye' because 'to tolerate is to validate', encouraging questioning and learning and need to be aware of these deeper root-causes and impact of organisational issues. Leadership issues relating to communication and learning comprise listening to the workforce and encouraging a questioning attitude 'If you really want to know how safe you are - ask your people', raise awareness of risks, consequences and promoting the importance of 'questioning and alert compliance', promoting the need for excellence in communication over safety issues at all levels e.g. between shifts and encouraging learning which leads to - 'the right message to the right people at the right time'. Alertness to 'organisational drift' means continuous review against best practice, monitoring of range of 'deeper' indicators, 'not just headlines', effective risk identification and management of change processes (particularly organisational), reinforcement of the safety message when perceptions may be that its priority has become lower and questioning and challenging the impact of changes in an organisational 'context'. Possible issues for the agency are to promote an understanding of these 'deeper' but vital issues in all organisations with an impact on nuclear safety, develop common ('hard hitting') messages about the vital role of leadership and the need for 'alertness and challenge', develop approaches and tools to assist and encourage self assessment and external scrutiny in the key areas, embed these

  11. Malnutrition, C0gnitive Development, and Learning.

    Science.gov (United States)

    Thomas, Susan B., Comp.

    This bibliography is designed to be as comprehensive as possible on the effects of nutrition on learning. While a few of the citations are relatively old, they represent the beginning of research interest in the area. Most of the citations are from the late 1960's or early 1970's. Much of the research in the area uses animals as subjects, rather…

  12. An Analysis of High Impact Scholarship and Publication Trends in Blended Learning

    Science.gov (United States)

    Halverson, Lisa R.; Graham, Charles R.; Spring, Kristian J.; Drysdale, Jeffery S.

    2012-01-01

    Blended learning is a diverse and expanding area of design and inquiry that combines face-to-face and online modalities. As blended learning research matures, numerous voices enter the conversation. This study begins the search for the center of this emerging area of study by finding the most cited scholarship on blended learning. Using Harzing's…

  13. Technology, Learning, and Individual Differences

    Science.gov (United States)

    Bear, Anne A. Ghost

    2012-01-01

    The learning needs for adults that result from the constant increase in technology are rooted in the adult learning concepts of (a) andragogy, (b) self-directed learning, (c) learning-how-to-learn, (d) real-life learning, and (e) learning strategies. This study described the learning strategies that adults use in learning to engage in an online…

  14. Human Machine Learning Symbiosis

    Science.gov (United States)

    Walsh, Kenneth R.; Hoque, Md Tamjidul; Williams, Kim H.

    2017-01-01

    Human Machine Learning Symbiosis is a cooperative system where both the human learner and the machine learner learn from each other to create an effective and efficient learning environment adapted to the needs of the human learner. Such a system can be used in online learning modules so that the modules adapt to each learner's learning state both…

  15. Machine-Learning Research

    OpenAIRE

    Dietterich, Thomas G.

    1997-01-01

    Machine-learning research has been making great progress in many directions. This article summarizes four of these directions and discusses some current open problems. The four directions are (1) the improvement of classification accuracy by learning ensembles of classifiers, (2) methods for scaling up supervised learning algorithms, (3) reinforcement learning, and (4) the learning of complex stochastic models.

  16. Electric Holding Company Areas

    Data.gov (United States)

    Department of Homeland Security — Holding companies are electric power utilities that have a holding company structure. This vector polygon layer represents the area served by electric power holding...

  17. Urban Greening Bay Area

    Science.gov (United States)

    Information about the San Francisco Bay Water Quality Project (SFBWQP) Urban Greening Bay Area, a large-scale effort to re-envision urban landscapes to include green infrastructure (GI) making communities more livable and reducing stormwater runoff.

  18. Semi-arid Areas

    International Development Research Centre (IDRC) Digital Library (Canada)

    Livia Bizikova

    precipitation in the form of rainfall or snow (UN, 2011; MEA 2009). • Dryland subtypes can ... in terms of their land uses: rangelands, croplands, and urban areas. ... farmers; climate resilient agricultural practices; irrigation, pasture management.

  19. Ice Engineering Research Area

    Data.gov (United States)

    Federal Laboratory Consortium — Refrigerated Physical Modeling of Waterways in a Controlled EnvironmentThe Research Area in the Ice Engineering Facility at the Cold Regions Research and Engineering...

  20. spatially identifying vulnerable areas

    African Journals Online (AJOL)

    The model structure is aimed at understanding the critical vulnerable factors that ... This paper incorporates multiple criteria and rank risk factors. ..... In terms of quantifying vulnerable areas within the country, the analysis is done based on 9 ...

  1. kaduna area, north ce

    African Journals Online (AJOL)

    Admin

    Similarly, the relative variation of depth to the water table inferred from the spectral analysis was used to deduce .... All the image processing and map preparations were done on a .... investigations in shallow basement areas of. Zaria, Kaduna ...

  2. ABACC's nuclear accounting area

    International Nuclear Information System (INIS)

    Nicolas, Ruben O.

    2001-01-01

    The functions and activities of the Brazilian-Argentine Agency for the Accounting and Control of Nuclear Materials (ABACC) accounting area is outlined together with a detailed description of the nuclear accounting system used by the bilateral organization

  3. Pilot Boarding Areas

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Pilot boarding areas are locations at sea where pilots familiar with local waters board incoming vessels to navigate their passage to a destination port. Pilotage is...

  4. Quantifying disbond area

    Science.gov (United States)

    Lowden, D. W.

    1992-10-01

    Disbonds simulated in a composite helicopter rotor blade were profiled using eddy currents. The method is inherently accurate and reproducible. An algorithm is described for calculating disbond margin. Disbond area is estimated assuming in-service disbondments exhibit circular geometry.

  5. Decontamination & decommissioning focus area

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-08-01

    In January 1994, the US Department of Energy Office of Environmental Management (DOE EM) formally introduced its new approach to managing DOE`s environmental research and technology development activities. The goal of the new approach is to conduct research and development in critical areas of interest to DOE, utilizing the best talent in the Department and in the national science community. To facilitate this solutions-oriented approach, the Office of Science and Technology (EM-50, formerly the Office of Technology Development) formed five Focus AReas to stimulate the required basic research, development, and demonstration efforts to seek new, innovative cleanup methods. In February 1995, EM-50 selected the DOE Morgantown Energy Technology Center (METC) to lead implementation of one of these Focus Areas: the Decontamination and Decommissioning (D & D) Focus Area.

  6. PM 10 Nonattainment Areas

    Data.gov (United States)

    U.S. Environmental Protection Agency — This data layer identifies areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for PM 10 and have been...

  7. Carbon Monoxide Nonattainment Areas

    Data.gov (United States)

    U.S. Environmental Protection Agency — This data layer identifies areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for Carbon Monoxide and have...

  8. SO2 Nonattainment Areas

    Data.gov (United States)

    U.S. Environmental Protection Agency — This data layer identifies areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for Sulfur dioxide and have...

  9. Targeted Learning

    CERN Document Server

    van der Laan, Mark J

    2011-01-01

    The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjective choices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the targe

  10. Learning Vaadin

    CERN Document Server

    Frankel, Nicolas

    2011-01-01

    This book begins with a tutorial on Vaadin 7, followed by a process of planning, analyzing, building, and deploying a fully functional RIA while covering troubleshooting details along the way, making it an invaluable resource for answers to all your Vaadin questions. If you are a Java developer with some experience in Java web development and want to enter the world of Rich Internet Applications this technology and book are ideal for you. Learning Vaadin will be perfect as your next step towards building eye-candy dynamic web applications on a Java-based platform.

  11. Learning Cypher

    CERN Document Server

    Panzarino, Onofrio

    2014-01-01

    An easy-to-follow guide full of tips and examples of real-world applications. In each chapter, a thorough example will show you the concepts in action, followed by a detailed explanation.This book is intended for those who want to learn how to create, query, and maintain a graph database, or who want to migrate to a graph database from SQL. It would be helpful to have some familiarity with Java and/or SQL, but no prior experience is required.

  12. Learning Perl

    CERN Document Server

    Schwartz, Randal; Phoenix, Tom

    2011-01-01

    If you're just getting started with Perl, this is the book you want-whether you're a programmer, system administrator, or web hacker. Nicknamed "the Llama" by two generations of users, this bestseller closely follows the popular introductory Perl course taught by the authors since 1991. This 6th edition covers recent changes to the language up to version 5.14. Perl is suitable for almost any task on almost any platform, from short fixes to complete web applications. Learning Perl teaches you the basics and shows you how to write programs up to 128 lines long-roughly the size of 90% of the Pe

  13. Learning scikit-learn machine learning in Python

    CERN Document Server

    Garreta, Raúl

    2013-01-01

    The book adopts a tutorial-based approach to introduce the user to Scikit-learn.If you are a programmer who wants to explore machine learning and data-based methods to build intelligent applications and enhance your programming skills, this the book for you. No previous experience with machine-learning algorithms is required.

  14. Drainage of radioactive areas

    International Nuclear Information System (INIS)

    1981-04-01

    This Code of Practice covers all the drainage systems which may occur in the radioactive classified area of an establishment, namely surface water, foul, process and radioactive drainage. It also deals with final discharge lines. The Code of Practice concentrates on those aspects of drainage which require particular attention because the systems are in or from radioactive areas and typical illustrations are given in appendices. The Code makes references to sources of information on conventional aspects of drainage design. (author)

  15. 300 Area Disturbance Report

    Energy Technology Data Exchange (ETDEWEB)

    LL Hale; MK Wright; NA Cadoret

    1999-01-07

    The objective of this study was to define areas of previous disturbance in the 300 Area of the U.S. Department of Energy (DOE) Hanford Site to eliminate these areas from the cultural resource review process, reduce cultural resource monitoring costs, and allow cultural resource specialists to focus on areas where subsurface disturbance is minimal or nonexistent. Research into available sources suggests that impacts from excavations have been significant wherever the following construction activities have occurred: building basements and pits, waste ponds, burial grounds, trenches, installation of subsurface pipelines, power poles, water hydrants, and well construction. Beyond the areas just mentioned, substrates in the' 300 Area consist of a complex, multidimen- sional mosaic composed of undisturbed stratigraphy, backfill, and disturbed sediments; Four Geographic Information System (GIS) maps were created to display known areas of disturbance in the 300 Area. These maps contain information gleaned from a variety of sources, but the primary sources include the Hanford GIS database system, engineer drawings, and historic maps. In addition to these maps, several assumptions can be made about areas of disturbance in the 300 Area as a result of this study: o o Buried pipelines are not always located where they are mapped. As a result, cultural resource monitors or specialists should not depend on maps depicting subsurface pipelines for accurate locations of previous disturbance. Temporary roads built in the early 1940s were placed on layers of sand and gravel 8 to 12 in. thick. Given this information, it is likely that substrates beneath these early roads are only minimally disturbed. Building foundations ranged from concrete slabs no more than 6 to 8 in. thick to deeply excavated pits and basements. Buildings constructed with slab foundations are more numerous than may be expected, and minimally disturbed substrates may be expected in these locations. Historic

  16. Potential effect of fracture technology on IPTS [Integrated Pressurized Thermal Shock] analysis (Fracture toughness: Kla and Klc and warm prestressing)

    International Nuclear Information System (INIS)

    Dickson, T.L.

    1990-01-01

    A major nuclear plant life extension issue to be confronted in the 1990's is pressure vessel integrity for the pressurized thermal shock (PTS) loading condition. Governing criteria associated with PTS are included in ''The PTS Rule'' (10 CFR 50.61) and Regulatory Guide 1.154: Format and Content of Plant-Specific Pressurized Thermal Shock Safety Analysis Reports for Pressurized Water Reactors. The results of the Integrated Pressurized Water Reactors. The results of the Integrated Pressurized Thermal Shock (IPTS) Program, along with risk assessments and fracture analyses performed by the NRC and reactor system vendors, contributed to the derivation of the PTS Rule. Over the last several years, the Heavy Section Steel Technology (HSST) Program at the Oak Ridge National Laboratory (ORNL) has performed a series of large-scale fracture-mechanics experiments. The Thermal Shock Experiments (TSE), Pressurized Thermal Shock Experiments (PTSE), and Wide Plate Experiments (WPE) produced K IC and K Ia data that suggest increased mean K IC and K Ia curves relative to the ones used in the IPTS study. Also, the PTSE and WPE have demonstrated that prototypical nuclear reactor pressure vessel steels are capable of arresting a propagating crack at K I values considerably above 220 MPa√m, the implicit limit of the ASME Code and the limit used in the IPTS studies. This document provides a discussion of the results of these experiments

  17. Technology Enhanced Learning

    NARCIS (Netherlands)

    Klemke, Roland; Specht, Marcus

    2013-01-01

    Klemke, R., & Specht, M. (2013, 26-27 September). Technology Enhanced Learning. Presentation at the fourth international conference on eLearning (eLearning 2013), Belgrade, Serbia. http://econference.metropolitan.ac.rs/

  18. Mobile Inquiry Based Learning

    NARCIS (Netherlands)

    Specht, Marcus

    2012-01-01

    Specht, M. (2012, 8 November). Mobile Inquiry Based Learning. Presentation given at the Workshop "Mobile inquiry-based learning" at the Mobile Learning Day 2012 at the Fernuniversität Hagen, Hagen, Germany.

  19. Assessment of Cognitive Communications Interest Areas for NASA Needs and Benefits

    Science.gov (United States)

    Knoblock, Eric J.; Madanayake, Arjuna

    2017-01-01

    This effort provides a survey and assessment of various cognitive communications interest areas, including node-to-node link optimization, intelligent routing/networking, and learning algorithms, and is conducted primarily from the perspective of NASA space communications needs and benefits. Areas of consideration include optimization methods, learning algorithms, and candidate implementations/technologies. Assessments of current research efforts are provided with mention of areas for further investment. Other considerations, such as antenna technologies and cognitive radio platforms, are briefly provided as well.

  20. Investigating scintillometer source areas

    Science.gov (United States)

    Perelet, A. O.; Ward, H. C.; Pardyjak, E.

    2017-12-01

    Scintillometry is an indirect ground-based method for measuring line-averaged surface heat and moisture fluxes on length scales of 0.5 - 10 km. These length scales are relevant to urban and other complex areas where setting up traditional instrumentation like eddy covariance is logistically difficult. In order to take full advantage of scintillometry, a better understanding of the flux source area is needed. The source area for a scintillometer is typically calculated as a convolution of point sources along the path. A weighting function is then applied along the path to compensate for a total signal contribution that is biased towards the center of the beam path, and decreasing near the beam ends. While this method of calculating the source area provides an estimate of the contribution of the total flux along the beam, there are still questions regarding the physical meaning of the weighted source area. These questions are addressed using data from an idealized experiment near the Salt Lake City International Airport in northern Utah, U.S.A. The site is a flat agricultural area consisting of two different land uses. This simple heterogeneity in the land use facilitates hypothesis testing related to source areas. Measurements were made with a two wavelength scintillometer system spanning 740 m along with three standard open-path infrared gas analyzer-based eddy-covariance stations along the beam path. This configuration allows for direct observations of fluxes along the beam and comparisons to the scintillometer average. The scintillometer system employed measures the refractive index structure parameter of air for two wavelengths of electromagnetic radiation, 880 μm and 1.86 cm to simultaneously estimate path-averaged heat and moisture fluxes, respectively. Meteorological structure parameters (CT2, Cq2, and CTq) as well as surface fluxes are compared for various amounts of source area overlap between eddy covariance and scintillometry. Additionally, surface

  1. Learning and Memory

    OpenAIRE

    1999-01-01

    Under various circumstances and in different species the outward expression of learning varies considerably, and this has led to the classification of different categories of learning. Just as there is no generally agreed on definition of learning, there is no one system of classification. Types of learning commonly recognized are: Habituation, sensitization, classical conditioning, operant conditioning, trial and error, taste aversion, latent learning, cultural learning, imprinting, insight ...

  2. Toward Learning Teams

    DEFF Research Database (Denmark)

    Hoda, Rashina; Babb, Jeff; Nørbjerg, Jacob

    2013-01-01

    to sacrifice learning-focused practices. Effective learning under pressure involves conscious efforts to implement original agile practices such as retrospectives and adapted strategies such as learning spikes. Teams, their management, and customers must all recognize the importance of creating learning teams......Today's software development challenges require learning teams that can continuously apply new engineering and management practices, new and complex technical skills, cross-functional skills, and experiential lessons learned. The pressure of delivering working software often forces software teams...

  3. Greedy Deep Dictionary Learning

    OpenAIRE

    Tariyal, Snigdha; Majumdar, Angshul; Singh, Richa; Vatsa, Mayank

    2016-01-01

    In this work we propose a new deep learning tool called deep dictionary learning. Multi-level dictionaries are learnt in a greedy fashion, one layer at a time. This requires solving a simple (shallow) dictionary learning problem, the solution to this is well known. We apply the proposed technique on some benchmark deep learning datasets. We compare our results with other deep learning tools like stacked autoencoder and deep belief network; and state of the art supervised dictionary learning t...

  4. Deep Learning in Gastrointestinal Endoscopy.

    Science.gov (United States)

    Patel, Vivek; Armstrong, David; Ganguli, Malika; Roopra, Sandeep; Kantipudi, Neha; Albashir, Siwar; Kamath, Markad V

    2016-01-01

    Gastrointestinal (GI) endoscopy is used to inspect the lumen or interior of the GI tract for several purposes, including, (1) making a clinical diagnosis, in real time, based on the visual appearances; (2) taking targeted tissue samples for subsequent histopathological examination; and (3) in some cases, performing therapeutic interventions targeted at specific lesions. GI endoscopy is therefore predicated on the assumption that the operator-the endoscopist-is able to identify and characterize abnormalities or lesions accurately and reproducibly. However, as in other areas of clinical medicine, such as histopathology and radiology, many studies have documented marked interobserver and intraobserver variability in lesion recognition. Thus, there is a clear need and opportunity for techniques or methodologies that will enhance the quality of lesion recognition and diagnosis and improve the outcomes of GI endoscopy. Deep learning models provide a basis to make better clinical decisions in medical image analysis. Biomedical image segmentation, classification, and registration can be improved with deep learning. Recent evidence suggests that the application of deep learning methods to medical image analysis can contribute significantly to computer-aided diagnosis. Deep learning models are usually considered to be more flexible and provide reliable solutions for image analysis problems compared to conventional computer vision models. The use of fast computers offers the possibility of real-time support that is important for endoscopic diagnosis, which has to be made in real time. Advanced graphics processing units and cloud computing have also favored the use of machine learning, and more particularly, deep learning for patient care. This paper reviews the rapidly evolving literature on the feasibility of applying deep learning algorithms to endoscopic imaging.

  5. Children Literacy Through Learning Sotfwares

    Directory of Open Access Journals (Sweden)

    Karina Matheus dos Santos

    2011-10-01

    Full Text Available Means that incite curiosity and interest can greatly facilitate children’s learning process, and the digital world has become an essential tool in this area, providing both teachers and students with countless new opportunities. With such information the Children Literacy Through Learning Sotfwares project took effective place in UFSC’s Colégio de Aplicação school, using Mestre® (GOYOS e ALMEIDA, 1994. Five students, indicated by their teacher due to their difficulties in class to benefit from the project, were assisted in their literacy, being one of them with only impaired hearing, who benefited for being encouraged to develop auditory identification strategies. All of them developed motivational autonomy throughout the project, feeling more comfortable and motivated, always counting on their supervisors, who informed the teacher about each student’s performance while being observed. At the end of the project the teacher highlighted this program’s importance to child education, yet without making use of them herself. This project’s benefits have proven themselves necessary to those students’s development as individuals under learning process, allowing to acknowledge what  an educational software can do and must be in order to develop its potential as a  teaching tool, making the no-mistaking-learning advantages evident when it comes to respecting each student’s timing in learning.

  6. Learning Networks for Professional Development & Lifelong Learning

    NARCIS (Netherlands)

    Sloep, Peter

    2009-01-01

    Sloep, P. B. (2009). Learning Networks for Professional Development & Lifelong Learning. Presentation at a NeLLL seminar with Etienne Wenger held at the Open Universiteit Nederland. September, 10, 2009, Heerlen, The Netherlands.

  7. Use of blended learning in workplace learning

    DEFF Research Database (Denmark)

    Georgsen, Marianne; Løvstad, Charlotte Vange

    2014-01-01

    -based teaching materials. This paper presents the experiences of this particular project, and goes on to discuss the following points: • The blended learning design – use of IT for teaching, learning and communication • Digital learning materials – principals of design and use • Work place learning and learning......In 2014, a new system has been put in place for the inspection and approval of social welfare institutions in Denmark. In as little as 10 weeks, 330 new employees in five regional centres participated in an introductory course, designed as work place learning with extensive use of e-learning and IT...... from work – the interplay between experiences of the learner and the curriculum of the program •The approach taken to customising the e-learning design to the needs and demands of a particular case....

  8. Learning Design Development for Blended Learning

    DEFF Research Database (Denmark)

    Hansen, Janne Saltoft

    Learning design development for blended learning We started implementing Blackboard at Aarhus University in 2013. At the Health Faculty Blackboard replaced AULA which was a LMS with functionality for file distribution and only a vague focus on learning tools. Most teachers therefore had...... no experiences with blended leaning and technology supported out-of-class activities. At the pedagogical unit at the Health faculty we wanted to follow the Blackboard implementation with pedagogical tools for learning design to evolve the pedagogical use of the system. We needed to make development of blended...... learning courses easier for the teachers and also ensure quality in the courses. This poster describes the process from development of the learning design to implementation of the learning design at the faculty: 1. How to place demands on a learning design-model and how to develop and use such a model. 2...

  9. Judgments of Learning in Collaborative Learning Environments

    NARCIS (Netherlands)

    Helsdingen, Anne

    2010-01-01

    Helsdingen, A. S. (2010, March). Judgments of Learning in Collaborative Learning Environments. Poster presented at the 1st International Air Transport and Operations Symposium (ATOS 2010), Delft, The Netherlands: Delft University of Technology.

  10. Learning design guided learning analytics in MOOCs

    NARCIS (Netherlands)

    Brouns, Francis; Firssova, Olga

    2016-01-01

    Poster presentation for our paper Brouns, F., & Firssova, O. (2016, October).The role of learning design and learning analytics in MOOCs. Paper presented at 9th EDEN Research Workshop, Oldenburg, Germany.

  11. Networked professional learning

    NARCIS (Netherlands)

    Sloep, Peter

    2013-01-01

    Sloep, P. B. (2013). Networked professional learning. In A. Littlejohn, & A. Margaryan (Eds.), Technology-enhanced Professional Learning: Processes, Practices and Tools (pp. 97–108). London: Routledge.

  12. Autonomy and independence in language learning

    CERN Document Server

    Benson, Phil

    2014-01-01

    The topics of autonomy and independence play an increasingly important role in language education. They raise issues such as learners' responsibility for their own learning, and their right to determine the direction of their own learning, the skills which can be learned and applied in self-directed learning and capacity for independent learning and the extents to which this can be suppressed by institutional education. This volume offers new insights into the principles of autonomy and independence and the practices associated with them focusing on the area of EFL teaching. The editors' introduction provides the context and outlines the main issues involved in autonomy and independence. Later chapters discuss the social and political implications of autonomy and independence and their effects on educational structures. The consequences for the design of learner-centred materials and methods is discussed, together with an exploration of the practical ways of implementing autonomy and independence in language ...

  13. Python for probability, statistics, and machine learning

    CERN Document Server

    Unpingco, José

    2016-01-01

    This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and numerical results, is reproducible using the Python codes and their associated Jupyter/IPython notebooks, which are provided as supplementary downloads. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations. Modern Python modules like Pandas, Sympy, and Scikit-learn are applied to simulate and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, and regularization. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples. This book is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowl...

  14. Reinforcement Learning State-of-the-Art

    CERN Document Server

    Wiering, Marco

    2012-01-01

    Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade. The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together the...

  15. Model-Agnostic Interpretability of Machine Learning

    OpenAIRE

    Ribeiro, Marco Tulio; Singh, Sameer; Guestrin, Carlos

    2016-01-01

    Understanding why machine learning models behave the way they do empowers both system designers and end-users in many ways: in model selection, feature engineering, in order to trust and act upon the predictions, and in more intuitive user interfaces. Thus, interpretability has become a vital concern in machine learning, and work in the area of interpretable models has found renewed interest. In some applications, such models are as accurate as non-interpretable ones, and thus are preferred f...

  16. Learning Points and Routes to Recommend Trajectories

    OpenAIRE

    Chen, Dawei; Ong, Cheng Soon; Xie, Lexing

    2016-01-01

    The problem of recommending tours to travellers is an important and broadly studied area. Suggested solutions include various approaches of points-of-interest (POI) recommendation and route planning. We consider the task of recommending a sequence of POIs, that simultaneously uses information about POIs and routes. Our approach unifies the treatment of various sources of information by representing them as features in machine learning algorithms, enabling us to learn from past behaviour. Info...

  17. Lifelong Learning Policy in Two National Contexts

    DEFF Research Database (Denmark)

    Rasmussen, Palle

    in different life phases. In this paper I discuss the state of lifelong learning policy in two European societies with different educational contexts, histories, system models and development issues, Denmark and Portugal. As part of the paper will give a brief overview of EU policies and initiatives...... in the area of lifelong learning and discuss how national policies in the two contexts are influenced by EU policies and funding....

  18. The statistical mechanics of learning a rule

    International Nuclear Information System (INIS)

    Watkin, T.L.H.; Rau, A.; Biehl, M.

    1993-01-01

    A summary is presented of the statistical mechanical theory of learning a rule with a neural network, a rapidly advancing area which is closely related to other inverse problems frequently encountered by physicists. By emphasizing the relationship between neural networks and strongly interacting physical systems, such as spin glasses, the authors show how learning theory has provided a workshop in which to develop new, exact analytical techniques

  19. Resonant learning

    DEFF Research Database (Denmark)

    Lindvang, Charlotte

    2013-01-01

    -experience and personal therapy in training, first and foremost from the students’ perspective. The author focuses on presenting the qualitative part of her research which namely addresses the students’ experiences. Semi-structured qualitative interviews and qualitative music analyses were conducted, using a hermeneutic...... approach. The informants were nine music therapy students from Aalborg University, enrolled in the fifth year of their Master’s degree training programme. They were asked to bring a recording of an improvisation of their own choice to the interview. The qualitative data collection of text and music......The article presents a part of the authors PhD-study in music therapy about self-experiential training and the development of music therapeutic competencies. One of the purposes of the study was to explore and generate understanding and insight into the phenomena of learning through self...

  20. Blended Learning: An Innovative Approach

    Science.gov (United States)

    Lalima; Dangwal, Kiran Lata

    2017-01-01

    Blended learning is an innovative concept that embraces the advantages of both traditional teaching in the classroom and ICT supported learning including both offline learning and online learning. It has scope for collaborative learning; constructive learning and computer assisted learning (CAI). Blended learning needs rigorous efforts, right…