WorldWideScience

Sample records for learn macroevolutionary topics

  1. A General Model for Estimating Macroevolutionary Landscapes.

    Science.gov (United States)

    Boucher, Florian C; Démery, Vincent; Conti, Elena; Harmon, Luke J; Uyeda, Josef

    2018-03-01

    The evolution of quantitative characters over long timescales is often studied using stochastic diffusion models. The current toolbox available to students of macroevolution is however limited to two main models: Brownian motion and the Ornstein-Uhlenbeck process, plus some of their extensions. Here, we present a very general model for inferring the dynamics of quantitative characters evolving under both random diffusion and deterministic forces of any possible shape and strength, which can accommodate interesting evolutionary scenarios like directional trends, disruptive selection, or macroevolutionary landscapes with multiple peaks. This model is based on a general partial differential equation widely used in statistical mechanics: the Fokker-Planck equation, also known in population genetics as the Kolmogorov forward equation. We thus call the model FPK, for Fokker-Planck-Kolmogorov. We first explain how this model can be used to describe macroevolutionary landscapes over which quantitative traits evolve and, more importantly, we detail how it can be fitted to empirical data. Using simulations, we show that the model has good behavior both in terms of discrimination from alternative models and in terms of parameter inference. We provide R code to fit the model to empirical data using either maximum-likelihood or Bayesian estimation, and illustrate the use of this code with two empirical examples of body mass evolution in mammals. FPK should greatly expand the set of macroevolutionary scenarios that can be studied since it opens the way to estimating macroevolutionary landscapes of any conceivable shape. [Adaptation; bounds; diffusion; FPK model; macroevolution; maximum-likelihood estimation; MCMC methods; phylogenetic comparative data; selection.].

  2. Before hierarchy: the rise and fall of Stephen Jay Gould's first macroevolutionary synthesis.

    Science.gov (United States)

    Dresow, Max W

    2017-06-01

    Few of Stephen Jay Gould's accomplishments in evolutionary biology have received more attention than his hierarchical theory of evolution, which postulates a causal discontinuity between micro- and macroevolutionary events. But Gould's hierarchical theory was his second attempt to supply a theoretical framework for macroevolutionary studies-and one he did not inaugurate until the mid-1970s. In this paper, I examine Gould's first attempt: a proposed fusion of theoretical morphology, multivariate biometry and the experimental study of adaptation in fossils. This early "macroevolutionary synthesis" was predicated on the notion that parallelism and convergence dominate the history of higher taxa, and moreover, that they can be explained in terms of adaptation leading to mechanical improvement. In this paper, I explore the origins and contents of Gould's first macroevolutionary synthesis, as well as the reasons for its downfall. In addition, I consider how various developments during the mid-1970s led Gould to identify hierarchy and constraint as the leading themes of macroevolutionary studies-and adaptation as a macroevolutionary red herring.

  3. Pacing of Paleozoic macroevolutionary rates by Milankovitch grand cycles.

    Science.gov (United States)

    Crampton, James S; Meyers, Stephen R; Cooper, Roger A; Sadler, Peter M; Foote, Michael; Harte, David

    2018-05-29

    Periodic fluctuations in past biodiversity, speciation, and extinction have been proposed, with extremely long periods ranging from 26 to 62 million years, although forcing mechanisms remain speculative. In contrast, well-understood periodic Milankovitch climate forcing represents a viable driver for macroevolutionary fluctuations, although little evidence for such fluctuation exists except during the Late Cenozoic. The reality, magnitude, and drivers of periodic fluctuations in macroevolutionary rates are of interest given long-standing debate surrounding the relative roles of intrinsic biotic interactions vs. extrinsic environmental factors as drivers of biodiversity change. Here, we show that, over a time span of 60 million years, between 9 and 16% of the variance in biological turnover (i.e., speciation probability plus species extinction probability) in a major Early Paleozoic zooplankton group, the graptoloids, can be explained by long-period astronomical cycles (Milankovitch "grand cycles") associated with Earth's orbital eccentricity (2.6 million years) and obliquity (1.3 million years). These grand cycles modulate climate variability, alternating times of relative stability in the environment with times of maximum volatility. We infer that these cycles influenced graptolite speciation and extinction through climate-driven changes to oceanic circulation and structure. Our results confirm the existence of Milankovitch grand cycles in the Early Paleozoic Era and show that known processes related to the mechanics of the Solar System were shaping marine macroevolutionary rates comparatively early in the history of complex life. We present an application of hidden Markov models to macroevolutionary time series and protocols for the evaluation of statistical significance in spectral analysis.

  4. Omnivory in birds is a macroevolutionary sink

    NARCIS (Netherlands)

    Burin, G.; Kissling, W.D.; Guimarães, P.R.; Şekercioğlu, Ç.H.; Quental, T.B.

    2016-01-01

    Diet is commonly assumed to affect the evolution of species, but few studies have directly tested its effect at macroevolutionary scales. Here we use Bayesian models of trait-dependent diversification and a comprehensive dietary database of all birds worldwide to assess speciation and extinction

  5. Omnivory in birds is a macroevolutionary sink.

    Science.gov (United States)

    Burin, Gustavo; Kissling, W Daniel; Guimarães, Paulo R; Şekercioğlu, Çağan H; Quental, Tiago B

    2016-04-07

    Diet is commonly assumed to affect the evolution of species, but few studies have directly tested its effect at macroevolutionary scales. Here we use Bayesian models of trait-dependent diversification and a comprehensive dietary database of all birds worldwide to assess speciation and extinction dynamics of avian dietary guilds (carnivores, frugivores, granivores, herbivores, insectivores, nectarivores, omnivores and piscivores). Our results suggest that omnivory is associated with higher extinction rates and lower speciation rates than other guilds, and that overall net diversification is negative. Trait-dependent models, dietary similarity and network analyses show that transitions into omnivory occur at higher rates than into any other guild. We suggest that omnivory acts as macroevolutionary sink, where its ephemeral nature is retrieved through transitions from other guilds rather than from omnivore speciation. We propose that these dynamics result from competition within and among dietary guilds, influenced by the deep-time availability and predictability of food resources.

  6. Macroevolutionary patterns of sexual size dimorphism in copepods

    DEFF Research Database (Denmark)

    Hirst, Andrew G.; Kiørboe, Thomas

    2014-01-01

    Major theories compete to explain the macroevolutionary trends observed in sexual size dimorphism (SSD) in animals. Quantitative genetic theory suggests that the sex under historically stronger directional selection will exhibit greater interspecific variance in size, with covariation between all...

  7. Learning topic models by belief propagation.

    Science.gov (United States)

    Zeng, Jia; Cheung, William K; Liu, Jiming

    2013-05-01

    Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian model for probabilistic topic modeling, which attracts worldwide interest and touches on many important applications in text mining, computer vision and computational biology. This paper represents the collapsed LDA as a factor graph, which enables the classic loopy belief propagation (BP) algorithm for approximate inference and parameter estimation. Although two commonly used approximate inference methods, such as variational Bayes (VB) and collapsed Gibbs sampling (GS), have gained great success in learning LDA, the proposed BP is competitive in both speed and accuracy, as validated by encouraging experimental results on four large-scale document datasets. Furthermore, the BP algorithm has the potential to become a generic scheme for learning variants of LDA-based topic models in the collapsed space. To this end, we show how to learn two typical variants of LDA-based topic models, such as author-topic models (ATM) and relational topic models (RTM), using BP based on the factor graph representations.

  8. The Effectiveness of Guided Inquiry Learning for Comparison Topics

    Science.gov (United States)

    Asnidar; Khabibah, S.; Sulaiman, R.

    2018-01-01

    This research aims at producing a good quality learning device using guided inquiry for comparison topics and describing the effectiveness of guided inquiry learning for comparison topics. This research is a developmental research using 4-D model. The result is learning device consisting of lesson plan, student’s worksheet, and achievement test. The subjects of the study were class VII students, each of which has 46 students. Based on the result in the experimental class, the learning device using guided inquiry for comparison topics has good quality. The learning device has met the valid, practical, and effective aspects. The result, especially in the implementation class, showed that the learning process with guided inquiry has fulfilled the effectiveness indicators. The ability of the teacher to manage the learning process has fulfilled the criteria good. In addition, the students’ activity has fulfilled the criteria of, at least, good. Moreover, the students’ responses to the learning device and the learning activities were positive, and the students were able to complete the classical learning. Based on the result of this research, it is expected that the learning device resulted can be used as an alternative learning device for teachers in implementing mathematic learning for comparison topics.

  9. The first 50Myr of dinosaur evolution: macroevolutionary pattern and morphological disparity.

    Science.gov (United States)

    Brusatte, Stephen L; Benton, Michael J; Ruta, Marcello; Lloyd, Graeme T

    2008-12-23

    The evolutionary radiation of dinosaurs in the Late Triassic and Early Jurassic was a pivotal event in the Earth's history but is poorly understood, as previous studies have focused on vague driving mechanisms and have not untangled different macroevolutionary components (origination, diversity, abundance and disparity). We calculate the morphological disparity (morphospace occupation) of dinosaurs throughout the Late Triassic and Early Jurassic and present new measures of taxonomic diversity. Crurotarsan archosaurs, the primary dinosaur 'competitors', were significantly more disparate than dinosaurs throughout the Triassic, but underwent a devastating extinction at the Triassic-Jurassic boundary. However, dinosaur disparity showed only a slight non-significant increase after this event, arguing against the hypothesis of ecological release-driven morphospace expansion in the Early Jurassic. Instead, the main jump in dinosaur disparity occurred between the Carnian and Norian stages of the Triassic. Conversely, dinosaur diversity shows a steady increase over this time, and measures of diversification and faunal abundance indicate that the Early Jurassic was a key episode in dinosaur evolution. Thus, different aspects of the dinosaur radiation (diversity, disparity and abundance) were decoupled, and the overall macroevolutionary pattern of the first 50Myr of dinosaur evolution is more complex than often considered.

  10. Are the metabolomic responses to folivory of closely related plant species linked to macroevolutionary and plant-folivore coevolutionary processes?

    Energy Technology Data Exchange (ETDEWEB)

    Rivas-Ubach, Albert [Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland Washington 99354 USA; CREAF, Cerdanyola del Vallès 08913 Catalonia Spain; Hódar, José A. [Grupo de Ecología Terrestre, Departamento de Biología Animal y Ecología, Facultad de Ciencias, Universidad de Granada, 18071 Granada Spain; Sardans, Jordi [CREAF, Cerdanyola del Vallès 08913 Catalonia Spain; CSIC, Global Ecology Unit CREAF-CEAB-CSIC-UAB, Cerdanyola del Vallès 08913 Catalonia Spain; Kyle, Jennifer E. [Biological Sciences Division, Pacific Northwest National Laboratory, Richland Washington 99354 USA; Kim, Young-Mo [Biological Sciences Division, Pacific Northwest National Laboratory, Richland Washington 99354 USA; Oravec, Michal [Global Change Research Centre, Academy of Sciences of the Czech Republic, Bĕlidla 4a CZ-603 00 Brno Czech Republic; Urban, Otmar [Global Change Research Centre, Academy of Sciences of the Czech Republic, Bĕlidla 4a CZ-603 00 Brno Czech Republic; Guenther, Alex [Department of Earth System Science, University of California, Irvine California 92697 USA; Peñuelas, Josep [CREAF, Cerdanyola del Vallès 08913 Catalonia Spain; CSIC, Global Ecology Unit CREAF-CEAB-CSIC-UAB, Cerdanyola del Vallès 08913 Catalonia Spain

    2016-06-02

    The debate whether the coevolution of plants and insects or macroevolutionary processes (phylogeny) is the main driver determining the arsenal of molecular defensive compounds of plants remains unresolved. Attacks by herbivorous insects affect not only the composition of defensive compounds in plants but the entire metabolome (the set of molecular metabolites), including defensive compounds. Metabolomes are the final products of genotypes and are directly affected by macroevolutionary processes, so closely related species should have similar metabolomic compositions and may respond in similar ways to attacks by folivores. We analyzed the elemental compositions and metabolomes of needles from Pinus pinaster, P. nigra and P. sylvestris to determine if these closely related Pinus species with different coevolutionary histories with the caterpillars of the processionary moth respond similarly to attacks by this lepidopteran. All pines had different metabolomes and metabolic responses to herbivorous attack. The metabolomic variation among the pine species and the responses to folivory reflected their macroevolutionary relationships, with P. pinaster having the most divergent metabolome. The concentrations of phenolic metabolites were generally not higher in the attacked trees, which had lower concentrations of terpenes, suggesting that herbivores avoid individuals with high concentrations of terpenes. Our results suggest that macroevolutionary history plays important roles in the metabolomic responses of these pine species to folivory, but plant-insect coevolution probably constrains those responses. Combinations of different evolutionary factors and trade-offs are likely responsible for the different responses of each species to folivory, which is not necessarily exclusively linked to plant-insect coevolution.

  11. INST7150 - Advanced Topics in Learning Object Design and Reuse, Fall 2005

    OpenAIRE

    Wiley, David

    2005-01-01

    This course is designed to help you understand and apply advanced topics in the design, creation, and reuse of learning objects. The course is structured around a practical, hands-on project using learning objects, intermingled with readings and discussion on a variety of topics.

  12. Model for macroevolutionary dynamics.

    Science.gov (United States)

    Maruvka, Yosef E; Shnerb, Nadav M; Kessler, David A; Ricklefs, Robert E

    2013-07-02

    The highly skewed distribution of species among genera, although challenging to macroevolutionists, provides an opportunity to understand the dynamics of diversification, including species formation, extinction, and morphological evolution. Early models were based on either the work by Yule [Yule GU (1925) Philos Trans R Soc Lond B Biol Sci 213:21-87], which neglects extinction, or a simple birth-death (speciation-extinction) process. Here, we extend the more recent development of a generic, neutral speciation-extinction (of species)-origination (of genera; SEO) model for macroevolutionary dynamics of taxon diversification. Simulations show that deviations from the homogeneity assumptions in the model can be detected in species-per-genus distributions. The SEO model fits observed species-per-genus distributions well for class-to-kingdom-sized taxonomic groups. The model's predictions for the appearance times (the time of the first existing species) of the taxonomic groups also approximately match estimates based on molecular inference and fossil records. Unlike estimates based on analyses of phylogenetic reconstruction, fitted extinction rates for large clades are close to speciation rates, consistent with high rates of species turnover and the relatively slow change in diversity observed in the fossil record. Finally, the SEO model generally supports the consistency of generic boundaries based on morphological differences between species and provides a comparator for rates of lineage splitting and morphological evolution.

  13. Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis.

    Science.gov (United States)

    Isupova, Olga; Kuzin, Danil; Mihaylova, Lyudmila

    2017-09-27

    Semisupervised and unsupervised systems provide operators with invaluable support and can tremendously reduce the operators' load. In the light of the necessity to process large volumes of video data and provide autonomous decisions, this paper proposes new learning algorithms for activity analysis in video. The activities and behaviors are described by a dynamic topic model. Two novel learning algorithms based on the expectation maximization approach and variational Bayes inference are proposed. Theoretical derivations of the posterior estimates of model parameters are given. The designed learning algorithms are compared with the Gibbs sampling inference scheme introduced earlier in the literature. A detailed comparison of the learning algorithms is presented on real video data. We also propose an anomaly localization procedure, elegantly embedded in the topic modeling framework. It is shown that the developed learning algorithms can achieve 95% success rate. The proposed framework can be applied to a number of areas, including transportation systems, security, and surveillance.

  14. Learning Supervised Topic Models for Classification and Regression from Crowds.

    Science.gov (United States)

    Rodrigues, Filipe; Lourenco, Mariana; Ribeiro, Bernardete; Pereira, Francisco C

    2017-12-01

    The growing need to analyze large collections of documents has led to great developments in topic modeling. Since documents are frequently associated with other related variables, such as labels or ratings, much interest has been placed on supervised topic models. However, the nature of most annotation tasks, prone to ambiguity and noise, often with high volumes of documents, deem learning under a single-annotator assumption unrealistic or unpractical for most real-world applications. In this article, we propose two supervised topic models, one for classification and another for regression problems, which account for the heterogeneity and biases among different annotators that are encountered in practice when learning from crowds. We develop an efficient stochastic variational inference algorithm that is able to scale to very large datasets, and we empirically demonstrate the advantages of the proposed model over state-of-the-art approaches.

  15. Spectral Learning for Supervised Topic Models.

    Science.gov (United States)

    Ren, Yong; Wang, Yining; Zhu, Jun

    2018-03-01

    Supervised topic models simultaneously model the latent topic structure of large collections of documents and a response variable associated with each document. Existing inference methods are based on variational approximation or Monte Carlo sampling, which often suffers from the local minimum defect. Spectral methods have been applied to learn unsupervised topic models, such as latent Dirichlet allocation (LDA), with provable guarantees. This paper investigates the possibility of applying spectral methods to recover the parameters of supervised LDA (sLDA). We first present a two-stage spectral method, which recovers the parameters of LDA followed by a power update method to recover the regression model parameters. Then, we further present a single-phase spectral algorithm to jointly recover the topic distribution matrix as well as the regression weights. Our spectral algorithms are provably correct and computationally efficient. We prove a sample complexity bound for each algorithm and subsequently derive a sufficient condition for the identifiability of sLDA. Thorough experiments on synthetic and real-world datasets verify the theory and demonstrate the practical effectiveness of the spectral algorithms. In fact, our results on a large-scale review rating dataset demonstrate that our single-phase spectral algorithm alone gets comparable or even better performance than state-of-the-art methods, while previous work on spectral methods has rarely reported such promising performance.

  16. Computer-Assisted English Learning System Based on Free Conversation by Topic

    Science.gov (United States)

    Choi, Sung-Kwon; Kwon, Oh-Woog; Kim, Young-Kil

    2017-01-01

    This paper aims to describe a computer-assisted English learning system using chatbots and dialogue systems, which allow free conversation outside the topic without limiting the learner's flow of conversation. The evaluation was conducted by 20 experimenters. The performance of the system based on a free conversation by topic was measured by the…

  17. Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework.

    Science.gov (United States)

    El-Assady, Mennatallah; Sevastjanova, Rita; Sperrle, Fabian; Keim, Daniel; Collins, Christopher

    2018-01-01

    Topic modeling algorithms are widely used to analyze the thematic composition of text corpora but remain difficult to interpret and adjust. Addressing these limitations, we present a modular visual analytics framework, tackling the understandability and adaptability of topic models through a user-driven reinforcement learning process which does not require a deep understanding of the underlying topic modeling algorithms. Given a document corpus, our approach initializes two algorithm configurations based on a parameter space analysis that enhances document separability. We abstract the model complexity in an interactive visual workspace for exploring the automatic matching results of two models, investigating topic summaries, analyzing parameter distributions, and reviewing documents. The main contribution of our work is an iterative decision-making technique in which users provide a document-based relevance feedback that allows the framework to converge to a user-endorsed topic distribution. We also report feedback from a two-stage study which shows that our technique results in topic model quality improvements on two independent measures.

  18. Topic categorisation of statements in suicide notes with integrated rules and machine learning.

    Science.gov (United States)

    Kovačević, Aleksandar; Dehghan, Azad; Keane, John A; Nenadic, Goran

    2012-01-01

    We describe and evaluate an automated approach used as part of the i2b2 2011 challenge to identify and categorise statements in suicide notes into one of 15 topics, including Love, Guilt, Thankfulness, Hopelessness and Instructions. The approach combines a set of lexico-syntactic rules with a set of models derived by machine learning from a training dataset. The machine learning models rely on named entities, lexical, lexico-semantic and presentation features, as well as the rules that are applicable to a given statement. On a testing set of 300 suicide notes, the approach showed the overall best micro F-measure of up to 53.36%. The best precision achieved was 67.17% when only rules are used, whereas best recall of 50.57% was with integrated rules and machine learning. While some topics (eg, Sorrow, Anger, Blame) prove challenging, the performance for relatively frequent (eg, Love) and well-scoped categories (eg, Thankfulness) was comparatively higher (precision between 68% and 79%), suggesting that automated text mining approaches can be effective in topic categorisation of suicide notes.

  19. Active-learning Strategies for Legal Topics and Substance Abuse in a Pharmacy Curriculum.

    Science.gov (United States)

    Steinhardt, Sarah J; Clark, John E; Kelly, William N; Hill, Angela M

    2017-02-25

    Objective. To implement active-learning strategies to engage students in learning, applying, and teaching legal and substance abuse topics. Design. Medication Safety course student groups created films on a National Patient Safety Goal (NPSG) using a movie genre and presented them in film festival format. Pharmacogenomics course student groups taught ethical, legal, and social implications (ELSI) topics through presentation of short stories about comic book characters with genetic mutations. Students in the Drugs of Abuse course composed and performed dances depicting the mechanism of action of a drug in an in-class rave dance format. Assessment. Course evaluations revealed student engagement with subject material and enjoyment of the creative applications, critical thinking, and collaborative aspects of the activities. Students performed well on examination questions and graded assignments. Conclusion. These active-learning strategies facilitated students' abilities to learn, apply, and teach material in medication safety, pharmacogenomics, and substance abuse courses.

  20. Learning Supervised Topic Models for Classification and Regression from Crowds

    DEFF Research Database (Denmark)

    Rodrigues, Filipe; Lourenco, Mariana; Ribeiro, Bernardete

    2017-01-01

    problems, which account for the heterogeneity and biases among different annotators that are encountered in practice when learning from crowds. We develop an efficient stochastic variational inference algorithm that is able to scale to very large datasets, and we empirically demonstrate the advantages...... annotation tasks, prone to ambiguity and noise, often with high volumes of documents, deem learning under a single-annotator assumption unrealistic or unpractical for most real-world applications. In this article, we propose two supervised topic models, one for classification and another for regression...

  1. Are the metabolomic responses to folivory of closely related plant species linked to macroevolutionary and plant-folivore coevolutionary processes?

    Czech Academy of Sciences Publication Activity Database

    Rivas-Ubach, A.; Hódar, J. A.; Sardans, J.; Kyle, J. E.; Kim, Y. M.; Oravec, Michal; Urban, Otmar; Guenther, A.; Peňuelas, J.

    2016-01-01

    Roč. 6, č. 13 (2016), s. 4372-4386 ISSN 2045-7758 R&D Projects: GA MŠk(CZ) LO1415 Grant - others:Akademie věd České Republiky(CZ) M200871201 Institutional support: RVO:67179843 Keywords : folivory * macroevolutionary history * Pinus * plant–insect coevolution * processionary moth Subject RIV: EH - Ecology, Behaviour Impact factor: 2.440, year: 2016

  2. An Introduction to Topic Modeling as an Unsupervised Machine Learning Way to Organize Text Information

    Science.gov (United States)

    Snyder, Robin M.

    2015-01-01

    The field of topic modeling has become increasingly important over the past few years. Topic modeling is an unsupervised machine learning way to organize text (or image or DNA, etc.) information such that related pieces of text can be identified. This paper/session will present/discuss the current state of topic modeling, why it is important, and…

  3. Mathematical Representation Ability by Using Project Based Learning on the Topic of Statistics

    Science.gov (United States)

    Widakdo, W. A.

    2017-09-01

    Seeing the importance of the role of mathematics in everyday life, mastery of the subject areas of mathematics is a must. Representation ability is one of the fundamental ability that used in mathematics to make connection between abstract idea with logical thinking to understanding mathematics. Researcher see the lack of mathematical representation and try to find alternative solution to dolve it by using project based learning. This research use literature study from some books and articles in journals to see the importance of mathematical representation abiliy in mathemtics learning and how project based learning able to increase this mathematical representation ability on the topic of Statistics. The indicators for mathematical representation ability in this research classifies namely visual representation (picture, diagram, graph, or table); symbolize representation (mathematical statement. Mathematical notation, numerical/algebra symbol) and verbal representation (written text). This article explain about why project based learning able to influence student’s mathematical representation by using some theories in cognitive psychology, also showing the example of project based learning that able to use in teaching statistics, one of mathematics topic that very useful to analyze data.

  4. Automatically annotating topics in transcripts of patient-provider interactions via machine learning.

    Science.gov (United States)

    Wallace, Byron C; Laws, M Barton; Small, Kevin; Wilson, Ira B; Trikalinos, Thomas A

    2014-05-01

    Annotated patient-provider encounters can provide important insights into clinical communication, ultimately suggesting how it might be improved to effect better health outcomes. But annotating outpatient transcripts with Roter or General Medical Interaction Analysis System (GMIAS) codes is expensive, limiting the scope of such analyses. We propose automatically annotating transcripts of patient-provider interactions with topic codes via machine learning. We use a conditional random field (CRF) to model utterance topic probabilities. The model accounts for the sequential structure of conversations and the words comprising utterances. We assess predictive performance via 10-fold cross-validation over GMIAS-annotated transcripts of 360 outpatient visits (>230,000 utterances). We then use automated in place of manual annotations to reproduce an analysis of 116 additional visits from a randomized trial that used GMIAS to assess the efficacy of an intervention aimed at improving communication around antiretroviral (ARV) adherence. With respect to 6 topic codes, the CRF achieved a mean pairwise kappa compared with human annotators of 0.49 (range: 0.47-0.53) and a mean overall accuracy of 0.64 (range: 0.62-0.66). With respect to the RCT reanalysis, results using automated annotations agreed with those obtained using manual ones. According to the manual annotations, the median number of ARV-related utterances without and with the intervention was 49.5 versus 76, respectively (paired sign test P = 0.07). When automated annotations were used, the respective numbers were 39 versus 55 (P = 0.04). While moderately accurate, the predicted annotations are far from perfect. Conversational topics are intermediate outcomes, and their utility is still being researched. This foray into automated topic inference suggests that machine learning methods can classify utterances comprising patient-provider interactions into clinically relevant topics with reasonable accuracy.

  5. Machine Learning-Based Classification of 38 Years of Spine-Related Literature Into 100 Research Topics.

    Science.gov (United States)

    Sing, David C; Metz, Lionel N; Dudli, Stefan

    2017-06-01

    Retrospective review. To identify the top 100 spine research topics. Recent advances in "machine learning," or computers learning without explicit instructions, have yielded broad technological advances. Topic modeling algorithms can be applied to large volumes of text to discover quantifiable themes and trends. Abstracts were extracted from the National Library of Medicine PubMed database from five prominent peer-reviewed spine journals (European Spine Journal [ESJ], The Spine Journal [SpineJ], Spine, Journal of Spinal Disorders and Techniques [JSDT], Journal of Neurosurgery: Spine [JNS]). Each abstract was entered into a latent Dirichlet allocation model specified to discover 100 topics, resulting in each abstract being assigned a probability of belonging in a topic. Topics were named using the five most frequently appearing terms within that topic. Significance of increasing ("hot") or decreasing ("cold") topic popularity over time was evaluated with simple linear regression. From 1978 to 2015, 25,805 spine-related research articles were extracted and classified into 100 topics. Top two most published topics included "clinical, surgeons, guidelines, information, care" (n = 496 articles) and "pain, back, low, treatment, chronic" (424). Top two hot trends included "disc, cervical, replacement, level, arthroplasty" (+0.05%/yr, P < 0.001), and "minimally, invasive, approach, technique" (+0.05%/yr, P < 0.001). By journal, the most published topics were ESJ-"operative, surgery, postoperative, underwent, preoperative"; SpineJ-"clinical, surgeons, guidelines, information, care"; Spine-"pain, back, low, treatment, chronic"; JNS- "tumor, lesions, rare, present, diagnosis"; JSDT-"cervical, anterior, plate, fusion, ACDF." Topics discovered through latent Dirichlet allocation modeling represent unbiased meaningful themes relevant to spine care. Topic dynamics can provide historical context and direction for future research for aspiring investigators and trainees

  6. Using Epistemic Network Analysis to understand core topics as planned learning objectives

    DEFF Research Database (Denmark)

    Allsopp, Benjamin Brink; Dreyøe, Jonas; Misfeldt, Morten

    Epistemic Network Analysis is a tool developed by the epistemic games group at the University of Wisconsin Madison for tracking the relations between concepts in students discourse (Shaffer 2017). In our current work we are applying this tool to learning objectives in teachers digital preparation....... The danish mathematics curriculum is organised in six competencies and three topics. In the recently implemented learning platforms teacher choose which of the mathematical competencies that serves as objective for a specific lesson or teaching sequence. Hence learning objectives for lessons and teaching...... sequences are defining a network of competencies, where two competencies are closely related of they often are part of the same learning objective or teaching sequence. We are currently using Epistemic Network Analysis to study these networks. In the poster we will include examples of different networks...

  7. Molecular evolution across the Asteraceae: micro- and macroevolutionary processes.

    Science.gov (United States)

    Kane, Nolan C; Barker, Michael S; Zhan, Shing H; Rieseberg, Loren H

    2011-12-01

    The Asteraceae (Compositae) is a large family of over 20,000 wild, weedy, and domesticated species that comprise approximately 10% of all angiosperms, including annual and perennial herbs, shrubs and trees, and species on every continent except Antarctica. As a result, the Asteraceae provide a unique opportunity to understand the evolutionary genomics of lineage radiation and diversification at numerous phylogenetic scales. Using publicly available expressed sequence tags from 22 species representing four of the major Asteraceae lineages, we assessed neutral and nonneutral evolutionary processes across this diverse plant family. We used bioinformatic tools to identify candidate genes under selection in each species. Evolution at silent and coding sites were assessed for different Gene Ontology functional categories to compare rates of evolution over both short and long evolutionary timescales. Our results indicate that patterns of molecular change across the family are surprisingly consistent on a macroevolutionary timescale and much more so more than would be predicted from the analysis of one (or many) examples of microevolution. These analyses also point to particular classes of genes that may be crucial in shaping the radiation of this diverse plant family. Similar analyses of nuclear and chloroplast genes in six other plant families confirm that many of these patterns are common features of the plant kingdom.

  8. Collaborative and Multilingual Approach to Learn Database Topics Using Concept Maps

    Science.gov (United States)

    Calvo, Iñaki

    2014-01-01

    Authors report on a study using the concept mapping technique in computer engineering education for learning theoretical introductory database topics. In addition, the learning of multilingual technical terminology by means of the collaborative drawing of a concept map is also pursued in this experiment. The main characteristics of a study carried out in the database subject at the University of the Basque Country during the 2011/2012 course are described. This study contributes to the field of concept mapping as these kinds of cognitive tools have proved to be valid to support learning in computer engineering education. It contributes to the field of computer engineering education, providing a technique that can be incorporated with several educational purposes within the discipline. Results reveal the potential that a collaborative concept map editor offers to fulfil the above mentioned objectives. PMID:25538957

  9. Deep Unfolding for Topic Models.

    Science.gov (United States)

    Chien, Jen-Tzung; Lee, Chao-Hsi

    2018-02-01

    Deep unfolding provides an approach to integrate the probabilistic generative models and the deterministic neural networks. Such an approach is benefited by deep representation, easy interpretation, flexible learning and stochastic modeling. This study develops the unsupervised and supervised learning of deep unfolded topic models for document representation and classification. Conventionally, the unsupervised and supervised topic models are inferred via the variational inference algorithm where the model parameters are estimated by maximizing the lower bound of logarithm of marginal likelihood using input documents without and with class labels, respectively. The representation capability or classification accuracy is constrained by the variational lower bound and the tied model parameters across inference procedure. This paper aims to relax these constraints by directly maximizing the end performance criterion and continuously untying the parameters in learning process via deep unfolding inference (DUI). The inference procedure is treated as the layer-wise learning in a deep neural network. The end performance is iteratively improved by using the estimated topic parameters according to the exponentiated updates. Deep learning of topic models is therefore implemented through a back-propagation procedure. Experimental results show the merits of DUI with increasing number of layers compared with variational inference in unsupervised as well as supervised topic models.

  10. Topic Model for Graph Mining.

    Science.gov (United States)

    Xuan, Junyu; Lu, Jie; Zhang, Guangquan; Luo, Xiangfeng

    2015-12-01

    Graph mining has been a popular research area because of its numerous application scenarios. Many unstructured and structured data can be represented as graphs, such as, documents, chemical molecular structures, and images. However, an issue in relation to current research on graphs is that they cannot adequately discover the topics hidden in graph-structured data which can be beneficial for both the unsupervised learning and supervised learning of the graphs. Although topic models have proved to be very successful in discovering latent topics, the standard topic models cannot be directly applied to graph-structured data due to the "bag-of-word" assumption. In this paper, an innovative graph topic model (GTM) is proposed to address this issue, which uses Bernoulli distributions to model the edges between nodes in a graph. It can, therefore, make the edges in a graph contribute to latent topic discovery and further improve the accuracy of the supervised and unsupervised learning of graphs. The experimental results on two different types of graph datasets show that the proposed GTM outperforms the latent Dirichlet allocation on classification by using the unveiled topics of these two models to represent graphs.

  11. Topic Modeling of Hierarchical Corpora /

    OpenAIRE

    Kim, Do-kyum

    2014-01-01

    The sizes of modern digital libraries have grown beyond our capacity to comprehend manually. Thus we need new tools to help us in organizing and browsing large corpora of text that do not require manually examining each document. To this end, machine learning researchers have developed topic models, statistical learning algorithms for automatic comprehension of large collections of text. Topic models provide both global and local views of a corpus; they discover topics that run through the co...

  12. Problem-Based Learning Method: Secondary Education 10th Grade Chemistry Course Mixtures Topic

    Science.gov (United States)

    Üce, Musa; Ates, Ismail

    2016-01-01

    In this research; aim was determining student achievement by comparing problem-based learning method with teacher-centered traditional method of teaching 10th grade chemistry lesson mixtures topic. Pretest-posttest control group research design is implemented. Research sample includes; two classes of (total of 48 students) an Anatolian High School…

  13. Extreme Postnatal Scaling in Bat Feeding Performance: A View of Ecomorphology from Ontogenetic and Macroevolutionary Perspectives.

    Science.gov (United States)

    Santana, Sharlene E; Miller, Kimberly E

    2016-09-01

    Ecomorphology studies focus on understanding how anatomical and behavioral diversity result in differences in performance, ecology, and fitness. In mammals, the determinate growth of the skeleton entails that bite performance should change throughout ontogeny until the feeding apparatus attains its adult size and morphology. Then, interspecific differences in adult phenotypes are expected to drive food resource partitioning and patterns of lineage diversification. However, Formal tests of these predictions are lacking for the majority of mammal groups, and thus our understanding of mammalian ecomorphology remains incomplete. By focusing on a fundamental measure of feeding performance, bite force, and capitalizing on the extraordinary morphological and dietary diversity of bats, we discuss how the intersection of ontogenetic and macroevolutionary changes in feeding performance may impact ecological diversity in these mammals. We integrate data on cranial morphology and bite force gathered through longitudinal studies of captive animals and comparative studies of free-ranging individuals. We demonstrate that ontogenetic trajectories and evolutionary changes in bite force are highly dependent on changes in body and head size, and that bats exhibit dramatic, allometric increases in bite force during ontogeny. Interspecific variation in bite force is highly dependent on differences in cranial morphology and function, highlighting selection for ecological specialization. While more research is needed to determine how ontogenetic changes in size and bite force specifically impact food resource use and fitness in bats, interspecific diversity in cranial morphology and bite performance seem to closely match functional differences in diet. Altogether, these results suggest direct ecomorphological relationships at ontogenetic and macroevolutionary scales in bats. © The Author 2016. Published by Oxford University Press on behalf of the Society for Integrative and Comparative

  14. Mining FDA drug labels using an unsupervised learning technique--topic modeling.

    Science.gov (United States)

    Bisgin, Halil; Liu, Zhichao; Fang, Hong; Xu, Xiaowei; Tong, Weida

    2011-10-18

    The Food and Drug Administration (FDA) approved drug labels contain a broad array of information, ranging from adverse drug reactions (ADRs) to drug efficacy, risk-benefit consideration, and more. However, the labeling language used to describe these information is free text often containing ambiguous semantic descriptions, which poses a great challenge in retrieving useful information from the labeling text in a consistent and accurate fashion for comparative analysis across drugs. Consequently, this task has largely relied on the manual reading of the full text by experts, which is time consuming and labor intensive. In this study, a novel text mining method with unsupervised learning in nature, called topic modeling, was applied to the drug labeling with a goal of discovering "topics" that group drugs with similar safety concerns and/or therapeutic uses together. A total of 794 FDA-approved drug labels were used in this study. First, the three labeling sections (i.e., Boxed Warning, Warnings and Precautions, Adverse Reactions) of each drug label were processed by the Medical Dictionary for Regulatory Activities (MedDRA) to convert the free text of each label to the standard ADR terms. Next, the topic modeling approach with latent Dirichlet allocation (LDA) was applied to generate 100 topics, each associated with a set of drugs grouped together based on the probability analysis. Lastly, the efficacy of the topic modeling was evaluated based on known information about the therapeutic uses and safety data of drugs. The results demonstrate that drugs grouped by topics are associated with the same safety concerns and/or therapeutic uses with statistical significance (P<0.05). The identified topics have distinct context that can be directly linked to specific adverse events (e.g., liver injury or kidney injury) or therapeutic application (e.g., antiinfectives for systemic use). We were also able to identify potential adverse events that might arise from specific

  15. Species coexistence: macroevolutionary relationships and the contingency of historical interactions.

    Science.gov (United States)

    Germain, Rachel M; Weir, Jason T; Gilbert, Benjamin

    2016-03-30

    Evolutionary biologists since Darwin have hypothesized that closely related species compete more intensely and are therefore less likely to coexist. However, recent theory posits that species diverge in two ways: either through the evolution of 'stabilizing differences' that promote coexistence by causing individuals to compete more strongly with conspecifics than individuals of other species, or through the evolution of 'fitness differences' that cause species to differ in competitive ability and lead to exclusion of the weaker competitor. We tested macroevolutionary patterns of divergence by competing pairs of annual plant species that differ in their phylogenetic relationships, and in whether they have historically occurred in the same region or different regions (sympatric versus allopatric occurrence). For sympatrically occurring species pairs, stabilizing differences rapidly increased with phylogenetic distance. However, fitness differences also increased with phylogenetic distance, resulting in coexistence outcomes that were unpredictable based on phylogenetic relationships. For allopatric species, stabilizing differences showed no trend with phylogenetic distance, whereas fitness differences increased, causing coexistence to become less likely among distant relatives. Our results illustrate the role of species' historical interactions in shaping how phylogenetic relationships structure competitive dynamics, and offer an explanation for the evolution of invasion potential of non-native species. © 2016 The Author(s).

  16. Mining FDA drug labels using an unsupervised learning technique - topic modeling

    Science.gov (United States)

    2011-01-01

    Background The Food and Drug Administration (FDA) approved drug labels contain a broad array of information, ranging from adverse drug reactions (ADRs) to drug efficacy, risk-benefit consideration, and more. However, the labeling language used to describe these information is free text often containing ambiguous semantic descriptions, which poses a great challenge in retrieving useful information from the labeling text in a consistent and accurate fashion for comparative analysis across drugs. Consequently, this task has largely relied on the manual reading of the full text by experts, which is time consuming and labor intensive. Method In this study, a novel text mining method with unsupervised learning in nature, called topic modeling, was applied to the drug labeling with a goal of discovering “topics” that group drugs with similar safety concerns and/or therapeutic uses together. A total of 794 FDA-approved drug labels were used in this study. First, the three labeling sections (i.e., Boxed Warning, Warnings and Precautions, Adverse Reactions) of each drug label were processed by the Medical Dictionary for Regulatory Activities (MedDRA) to convert the free text of each label to the standard ADR terms. Next, the topic modeling approach with latent Dirichlet allocation (LDA) was applied to generate 100 topics, each associated with a set of drugs grouped together based on the probability analysis. Lastly, the efficacy of the topic modeling was evaluated based on known information about the therapeutic uses and safety data of drugs. Results The results demonstrate that drugs grouped by topics are associated with the same safety concerns and/or therapeutic uses with statistical significance (P<0.05). The identified topics have distinct context that can be directly linked to specific adverse events (e.g., liver injury or kidney injury) or therapeutic application (e.g., antiinfectives for systemic use). We were also able to identify potential adverse events that

  17. Enhancement of Self Efficacy of Vocational School Students in Buffer Solution Topics through Guided Inquiry Learning

    Science.gov (United States)

    M, Ardiany; W, Wahyu; A, Supriatna

    2017-09-01

    The more students who feel less confident in learning, so doing things that are less responsible, such as brawl, drunkenness and others. So researchers need to do research related to student self efficacy in learning, in order to reduce unwanted things. This study aims to determine the effect of guided inquiry learning on improving self-efficacy of learners in the buffer solution topics. The method used is the mixed method which is the two group pretest postest design. The subjects of the study are 60 students of class XI AK in one of the SMKN in Bandung, consisting of 30 experimental class students and 30 control class students. The instruments used in this study mix method consist of self-efficacy questionnaire of pretest and posttest learners, interview guides, and observation sheet. Data analysis using t test with significant α = 0,05. Based on the result of inquiry of guided inquiry study, there is a significant improvement in self efficacy aspect of students in the topic of buffer solution. Data of pretest and posttest interview, observation, questionnaire showed significant result, that is improvement of experimental class with conventionally guided inquiry learning. The mean of self-efficacy of student learning there is significant difference of experiment class than control class equal to 0,047. There is a significant relationship between guided inquiry learning with self efficacy and guided inquiry learning. Each correlation value is 0.737. The learning process with guided inquiry is fun and challenging so that students can expose their ideas and opinions without being forced. From the results of questionnaires students showed an attitude of interest, sincerity and a good response of learning. While the results of questionnaires teachers showed that guided inquiry learning can make students learn actively, increased self-efficacy.

  18. The development of learning materials based on core model to improve students’ learning outcomes in topic of Chemical Bonding

    Science.gov (United States)

    Avianti, R.; Suyatno; Sugiarto, B.

    2018-04-01

    This study aims to create an appropriate learning material based on CORE (Connecting, Organizing, Reflecting, Extending) model to improve students’ learning achievement in Chemical Bonding Topic. This study used 4-D models as research design and one group pretest-posttest as design of the material treatment. The subject of the study was teaching materials based on CORE model, conducted on 30 students of Science class grade 10. The collecting data process involved some techniques such as validation, observation, test, and questionnaire. The findings were that: (1) all the contents were valid, (2) the practicality and the effectiveness of all the contents were good. The conclusion of this research was that the CORE model is appropriate to improve students’ learning outcomes for studying Chemical Bonding.

  19. Effectiveness of Cooperative Learning Instructional Tools With Predict-Observe-Explain Strategy on the Topic of Cuboid and Cube Volume

    Science.gov (United States)

    Nurhuda; Lukito, A.; Masriyah

    2018-01-01

    This study aims to develop instructional tools and implement it to see the effectiveness. The method used in this research referred to Designing Effective Instruction. Experimental research with two-group pretest-posttest design method was conducted. The instructional tools have been developed is cooperative learning model with predict-observe-explain strategy on the topic of cuboid and cube volume which consist of lesson plans, POE tasks, and Tests. Instructional tools were of good quality by criteria of validity, practicality, and effectiveness. These instructional tools was very effective for teaching the volume of cuboid and cube. Cooperative instructional tool with predict-observe-explain (POE) strategy was good of quality because the teacher was easy to implement the steps of learning, students easy to understand the material and students’ learning outcomes completed classically. Learning by using this instructional tool was effective because learning activities were appropriate and students were very active. Students’ learning outcomes were completed classically and better than conventional learning. This study produced a good instructional tool and effectively used in learning. Therefore, these instructional tools can be used as an alternative to teach volume of cuboid and cube topics.

  20. Macroevolutionary patterns of sexual size dimorphism in copepods

    Science.gov (United States)

    Hirst, Andrew G.; Kiørboe, Thomas

    2014-01-01

    Major theories compete to explain the macroevolutionary trends observed in sexual size dimorphism (SSD) in animals. Quantitative genetic theory suggests that the sex under historically stronger directional selection will exhibit greater interspecific variance in size, with covariation between allometric slopes (male to female size) and the strength of SSD across clades. Rensch's rule (RR) also suggests a correlation, but one in which males are always the more size variant sex. Examining free-living pelagic and parasitic Copepoda, we test these competing predictions. Females are commonly the larger sex in copepod species. Comparing clades that vary by four orders of magnitude in their degree of dimorphism, we show that isometry is widespread. As such we find no support for either RR or for covariation between allometry and SSD. Our results suggest that selection on both sexes has been equally important. We next test the prediction that variation in the degree of SSD is related to the adult sex ratio. As males become relatively less abundant, it has been hypothesized that this will lead to a reduction in both inter-male competition and male size. However, the lack of such a correlation across diverse free-living pelagic families of copepods provides no support for this hypothesis. By comparison, in sea lice of the family Caligidae, there is some qualitative support of the hypothesis, males may suffer elevated mortality when they leave the host and rove for sedentary females, and their female-biased SSD is greater than in many free-living families. However, other parasitic copepods which do not appear to have obvious differences in sex-based mate searching risks also show similar or even more extreme SSD, therefore suggesting other factors can drive the observed extremes. PMID:25100692

  1. Introduction to the JASIST Special Topic Issue on Web Retrieval and Mining: A Machine Learning Perspective.

    Science.gov (United States)

    Chen, Hsinchun

    2003-01-01

    Discusses information retrieval techniques used on the World Wide Web. Topics include machine learning in information extraction; relevance feedback; information filtering and recommendation; text classification and text clustering; Web mining, based on data mining techniques; hyperlink structure; and Web size. (LRW)

  2. A semi-supervised learning framework for biomedical event extraction based on hidden topics.

    Science.gov (United States)

    Zhou, Deyu; Zhong, Dayou

    2015-05-01

    Scientists have devoted decades of efforts to understanding the interaction between proteins or RNA production. The information might empower the current knowledge on drug reactions or the development of certain diseases. Nevertheless, due to the lack of explicit structure, literature in life science, one of the most important sources of this information, prevents computer-based systems from accessing. Therefore, biomedical event extraction, automatically acquiring knowledge of molecular events in research articles, has attracted community-wide efforts recently. Most approaches are based on statistical models, requiring large-scale annotated corpora to precisely estimate models' parameters. However, it is usually difficult to obtain in practice. Therefore, employing un-annotated data based on semi-supervised learning for biomedical event extraction is a feasible solution and attracts more interests. In this paper, a semi-supervised learning framework based on hidden topics for biomedical event extraction is presented. In this framework, sentences in the un-annotated corpus are elaborately and automatically assigned with event annotations based on their distances to these sentences in the annotated corpus. More specifically, not only the structures of the sentences, but also the hidden topics embedded in the sentences are used for describing the distance. The sentences and newly assigned event annotations, together with the annotated corpus, are employed for training. Experiments were conducted on the multi-level event extraction corpus, a golden standard corpus. Experimental results show that more than 2.2% improvement on F-score on biomedical event extraction is achieved by the proposed framework when compared to the state-of-the-art approach. The results suggest that by incorporating un-annotated data, the proposed framework indeed improves the performance of the state-of-the-art event extraction system and the similarity between sentences might be precisely

  3. E-learning in poly-topic settings

    DEFF Research Database (Denmark)

    Nortvig, Anne-Mette

    2014-01-01

    In e-learning settings, technology plays several crucial roles in the teaching. In addition to enabling students to gain remote access to teaching, it can also change the way time, space and presence are perceived by students and teachers. This paper attempts to analyse and discuss the consequences...... of the transparency or visibility of e-learning technology inside and outside the classroom and highlight its opportunities of multiplying the learning spaces. In order to be able to differentiate between learning that occurs in the same place and learning that occurs in more places at the same time across virtual...... and physical spaces, the paper therefore introduces the concepts of idiotopic and polytopic learning settings. Furthermore, it argues that the development of polytopic learning designs could help address a potential e- learning demand for teaching presences in more places at the same time....

  4. Teaching vocabulary to elementary level students learning Russian as a foreign language: topic "My family and I"

    OpenAIRE

    Vesnina, L. E.

    2017-01-01

    The article describes a lesson "My Family and I" for elementary level students learning Russian as a foreign language. This topic is the first in the academic subject Russian Vocabulary. The article sums up the experience of teaching this subject to Chinese students learning Russian at the Ural State Pedagogical University. The content and the aims of the lesson "My Family and I", as well as the subject Russian Vocabulary, are based on the communicative approach to teaching Russian as a forei...

  5. Human-competitive automatic topic indexing

    CERN Document Server

    Medelyan, Olena

    2009-01-01

    Topic indexing is the task of identifying the main topics covered by a document. These are useful for many purposes: as subject headings in libraries, as keywords in academic publications and as tags on the web. Knowing a document’s topics helps people judge its relevance quickly. However, assigning topics manually is labor intensive. This thesis shows how to generate them automatically in a way that competes with human performance. Three kinds of indexing are investigated: term assignment, a task commonly performed by librarians, who select topics from a controlled vocabulary; tagging, a popular activity of web users, who choose topics freely; and a new method of keyphrase extraction, where topics are equated to Wikipedia article names. A general two-stage algorithm is introduced that first selects candidate topics and then ranks them by significance based on their properties. These properties draw on statistical, semantic, domain-specific and encyclopedic knowledge. They are combined using a machine learn...

  6. Impact of a Modified Jigsaw Method for Learning an Unfamiliar, Complex Topic

    Directory of Open Access Journals (Sweden)

    Denise Kolanczyk

    2017-09-01

    Full Text Available Objective: The aim of this study was to use the jigsaw method with an unfamiliar, complex topic and to evaluate the effectiveness of the jigsaw teaching method on student learning of assigned material (“jigsaw expert” versus non-assigned material (“jigsaw learner”. Innovation: The innovation was implemented in an advanced cardiology elective. Forty students were assigned a pre-reading and one of four valvular heart disorders, a topic not previously taught in the curriculum. A pre-test and post-test evaluated overall student learning. Student performance on pre/post tests as the “jigsaw expert” and “jigsaw learner” was also compared. Critical Analysis: Overall, the post-test mean score of 85.75% was significantly higher than that of the pre-test score of 56.75% (p<0.05. There was significant improvement in scores regardless of whether the material was assigned (“jigsaw experts” pre=58.8% and post=82.5%; p<0.05 or not assigned (“jigsaw learners” pre= 56.25% and post= 86.56%, p<0.05 for pre-study. Next Steps: The use of the jigsaw method to teach unfamiliar, complex content helps students to become both teachers and active listeners, which are essential to the skills and professionalism of a health care provider. Further studies are needed to evaluate use of the jigsaw method to teach unfamiliar, complex content on long-term retention and to further examine the effects of expert vs. non-expert roles. Conflict of Interest We declare no conflicts of interest or financial interests that the authors or members of their immediate families have in any product or service discussed in the manuscript, including grants (pending or received, employment, gifts, stock holdings or options, honoraria, consultancies, expert testimony, patents and royalties.   Type: Note

  7. Fostering Topic Knowledge: Essential for Academic Writing

    Science.gov (United States)

    Proske, Antje; Kapp, Felix

    2013-01-01

    Several researchers emphasize the role of the writer's topic knowledge for writing. In academic writing topic knowledge is often constructed by studying source texts. One possibility to support that essential phase of the writing process is to provide interactive learning questions which facilitate the construction of an adequate situation…

  8. Non-linear learning in online tutorial to enhance students’ knowledge on normal distribution application topic

    Science.gov (United States)

    Kartono; Suryadi, D.; Herman, T.

    2018-01-01

    This study aimed to analyze the enhancement of non-linear learning (NLL) in the online tutorial (OT) content to students’ knowledge of normal distribution application (KONDA). KONDA is a competence expected to be achieved after students studied the topic of normal distribution application in the course named Education Statistics. The analysis was performed by quasi-experiment study design. The subject of the study was divided into an experimental class that was given OT content in NLL model and a control class which was given OT content in conventional learning (CL) model. Data used in this study were the results of online objective tests to measure students’ statistical prior knowledge (SPK) and students’ pre- and post-test of KONDA. The statistical analysis test of a gain score of KONDA of students who had low and moderate SPK’s scores showed students’ KONDA who learn OT content with NLL model was better than students’ KONDA who learn OT content with CL model. Meanwhile, for students who had high SPK’s scores, the gain score of students who learn OT content with NLL model had relatively similar with the gain score of students who learn OT content with CL model. Based on those findings it could be concluded that the NLL model applied to OT content could enhance KONDA of students in low and moderate SPK’s levels. Extra and more challenging didactical situation was needed for students in high SPK’s level to achieve the significant gain score.

  9. Getting Started with Topic Modeling and MALLET

    Directory of Open Access Journals (Sweden)

    Shawn Graham

    2012-09-01

    Full Text Available In this lesson you will first learn what topic modeling is and why you might want to employ it in your research. You will then learn how to install and work with the MALLET natural language processing toolkit to do so. MALLET involves modifying an environment variable (essentially, setting up a short-cut so that your computer always knows where to find the MALLET program and working with the command line (ie, by typing in commands manually, rather than clicking on icons or menus. We will run the topic modeller on some example files, and look at the kinds of outputs that MALLET installed. This will give us a good idea of how it can be used on a corpus of texts to identify topics found in the documents without reading them individually.

  10. Ecological interactions on macroevolutionary time scales: clams and brachiopods are more than ships that pass in the night.

    Science.gov (United States)

    Liow, Lee Hsiang; Reitan, Trond; Harnik, Paul G

    2015-10-01

    Competition among organisms has ecological and evolutionary consequences. However, whether the consequences of competition are manifested and measureable on macroevolutionary time scales is equivocal. Marine bivalves and brachiopods have overlapping niches such that competition for food and space may occur. Moreover, there is a long-standing debate over whether bivalves outcompeted brachiopods evolutionarily, because brachiopod diversity declined through time while bivalve diversity increased. To answer this question, we estimate the origination and extinction dynamics of fossil marine bivalve and brachiopod genera from the Ordovician through to the Recent while simultaneously accounting for incomplete sampling. Then, using stochastic differential equations, we assess statistical relationships among diversification and sampling dynamics of brachiopods and bivalves and five paleoenvironmental proxies. None of these potential environmental drivers had any detectable influence on brachiopod or bivalve diversification. In contrast, elevated bivalve extinction rates causally increased brachiopod origination rates, suggesting that bivalves have suppressed brachiopod evolution. © 2015 The Authors. Ecology Letters published by CNRS and John Wiley & Sons Ltd.

  11. Learning From Short Text Streams With Topic Drifts.

    Science.gov (United States)

    Li, Peipei; He, Lu; Wang, Haiyan; Hu, Xuegang; Zhang, Yuhong; Li, Lei; Wu, Xindong

    2017-09-18

    Short text streams such as search snippets and micro blogs have been popular on the Web with the emergence of social media. Unlike traditional normal text streams, these data present the characteristics of short length, weak signal, high volume, high velocity, topic drift, etc. Short text stream classification is hence a very challenging and significant task. However, this challenge has received little attention from the research community. Therefore, a new feature extension approach is proposed for short text stream classification with the help of a large-scale semantic network obtained from a Web corpus. It is built on an incremental ensemble classification model for efficiency. First, more semantic contexts based on the senses of terms in short texts are introduced to make up of the data sparsity using the open semantic network, in which all terms are disambiguated by their semantics to reduce the noise impact. Second, a concept cluster-based topic drifting detection method is proposed to effectively track hidden topic drifts. Finally, extensive studies demonstrate that as compared to several well-known concept drifting detection methods in data stream, our approach can detect topic drifts effectively, and it enables handling short text streams effectively while maintaining the efficiency as compared to several state-of-the-art short text classification approaches.

  12. Topics in Bioethics: A Development of Student Perspectives

    Directory of Open Access Journals (Sweden)

    Keith A. Johnson

    2014-10-01

    Full Text Available Exposing students to current biotechnological and medical issues is eye-opening for many students in a way that is not always achieved through lecture-based learning. Lecture or investigative teaching styles provide a tremendous knowledge base for the students, but sometimes these teaching styles do not allow the student to fully develop, especially personal attitudes to issues in bioethics. Through online videos, Hollywood movies, guided readings and classroom discussions, students in this course are informed of some bioethical topics, encouraged to learn about other topics, and use this gained knowledge to develop personal positions regarding the value and/or risk of the issues. This course has been well-received by previous students as a favorite in terms of both topics covered and style.

  13. Teachers' opinion about learning continuum based on student's level of competence and specific pedagogical material in classification topics

    Science.gov (United States)

    Andriani, Aldina Eka; Subali, Bambang

    2017-08-01

    This research discusses learning continuum development for designing a curriculum. The objective of this study is to gather the opinion of public junior and senior high school teachers about learning continuum based on student's level of competence and specific pedagogical material in classification topics. This research was conducted in Yogyakarta province from October 2016 to January 2017. This research utilizes a descriptive survey method. Respondents in this study consist of 281 science teachers at junior and senior high school in Yogyakarta city and 4 regencies namely Sleman, Bantul, Kulonprogo, and Gunung Kidul. The sample were taken using a census. The collection of data used questionnaire that had been validated from the aspects of construct validity and experts judgements. Data were analyzed using a descriptive analysis technique. The results of the analysis show that the opinions of teachers regarding specific pedagogical material in classification topics of living things at the junior high school taught in grade VII to the ability level of C2 (Understanding). At senior high school level, it is taught in grade X with the ability level C2 (Understanding). Based on these results, it can be concluded that the opinions of teachers still refer to the current syllabus and curriculum so that the teachers do not have pure opinions about the student's competence level in classification topics that should be taught at the level of the grade in accordance with the level of corresponding competency.

  14. Topics of Astronomy in Physics Teaching: the study of the oceanic tides addressed to the significant learning

    Science.gov (United States)

    Dos Santos Neta, Maria Luiza

    2017-02-01

    In the Medium Teaching when topics of Astronomy are supplied happen in Physics discipline with the use of methodologies that don't contribute to the development of the learning significant, however to turn them effective it is fundamental, for the apprehension of habitual events. By this context intends to analyze and to understand the current contributions of the use of a proposal of Teaching of Physics promoted the significant learning again, when topics of Astronomy be worked with the students of the Medium Teaching of a public school of the State Net of Teaching located in the city of Sirinhaém, in the south coast of Pernambuco. This research presented characteristic qualitative, as well as quantitative contemplating methodological procedures, such as: the application of a Pre-Test, the didactic intervention/sequences stages of the Cycle of Experience and Post-Test, following by situation-problem. As central theme one worked contents regarding the Astronomy, with prominence for the oceanic tides, being the significant learning stimulated to each stage: exhibition of videos, slides groups, discussions and activities written. The results obtained in the Pre-Test demonstrated that, the conditions of the previous knowledge presented by the students, in relation to the theme to be worked - oceanic tides - if they found inadequate to begin the study on the phenomenon. However, after the application of the didactic intervention/ sequences stages and comparing the result of the Post-Test in function of the Pre-Test was verified that, the previous knowledge are in appropriate conditions for the understanding of the event, as well as, for they be used in situation-problem that demands her understanding They suggests her that, the application of the Cycle of Experience as didactic sequence frequently happens, because it is verified that her use potentiates the construction of the significant learning.

  15. Correlated Topic Vector for Scene Classification.

    Science.gov (United States)

    Wei, Pengxu; Qin, Fei; Wan, Fang; Zhu, Yi; Jiao, Jianbin; Ye, Qixiang

    2017-07-01

    Scene images usually involve semantic correlations, particularly when considering large-scale image data sets. This paper proposes a novel generative image representation, correlated topic vector, to model such semantic correlations. Oriented from the correlated topic model, correlated topic vector intends to naturally utilize the correlations among topics, which are seldom considered in the conventional feature encoding, e.g., Fisher vector, but do exist in scene images. It is expected that the involvement of correlations can increase the discriminative capability of the learned generative model and consequently improve the recognition accuracy. Incorporated with the Fisher kernel method, correlated topic vector inherits the advantages of Fisher vector. The contributions to the topics of visual words have been further employed by incorporating the Fisher kernel framework to indicate the differences among scenes. Combined with the deep convolutional neural network (CNN) features and Gibbs sampling solution, correlated topic vector shows great potential when processing large-scale and complex scene image data sets. Experiments on two scene image data sets demonstrate that correlated topic vector improves significantly the deep CNN features, and outperforms existing Fisher kernel-based features.

  16. Tempo and mode in the macroevolutionary reconstruction of Darwinism.

    Science.gov (United States)

    Gould, S J

    1994-01-01

    Among the several central meanings of Darwinism, his version of Lyellian uniformitarianism--the extrapolationist commitment to viewing causes of small-scale, observable change in modern populations as the complete source, by smooth extension through geological time, of all magnitudes and sequences in evolution--has most contributed to the causal hegemony of microevolution and the assumption that paleontology can document the contingent history of life but cannot act as a domain of novel evolutionary theory. G. G. Simpson tried to combat this view of paleontology as theoretically inert in his classic work, Tempo and Mode in Evolution (1944), with a brilliant argument that the two subjects of his title fall into a unique paleontological domain and that modes (processes and causes) can be inferred from the quantitative study of tempos (pattern). Nonetheless, Simpson did not cash out his insight to paleontology's theoretical benefit because he followed the strict doctrine of the Modern Synthesis. He studied his domain of potential theory and concluded that no actual theory could be found--and that a full account of causes could therefore be located in the microevolutionary realm after all. I argue that Simpson was unduly pessimistic and that modernism's belief in reductionistic unification (the conventional view of Western intellectuals from the 1920s to the 1950s) needs to be supplanted by a postmodernist commitment to pluralism and multiple levels of causation. Macro- and microevolution should not be viewed as opposed, but as truly complementary. I describe the two major domains where a helpful macroevolutionary theory may be sought--unsmooth causal boundaries between levels (as illustrated by punctuated equilibrium and mass extinction) and hierarchical expansion of the theory of natural selection to levels both below (gene and cell-line) and above organisms (demes, species, and clades). Problems remain in operationally defining selection at non-organismic levels

  17. Building bridges across electronic health record systems through inferred phenotypic topics.

    Science.gov (United States)

    Chen, You; Ghosh, Joydeep; Bejan, Cosmin Adrian; Gunter, Carl A; Gupta, Siddharth; Kho, Abel; Liebovitz, David; Sun, Jimeng; Denny, Joshua; Malin, Bradley

    2015-06-01

    Data in electronic health records (EHRs) is being increasingly leveraged for secondary uses, ranging from biomedical association studies to comparative effectiveness. To perform studies at scale and transfer knowledge from one institution to another in a meaningful way, we need to harmonize the phenotypes in such systems. Traditionally, this has been accomplished through expert specification of phenotypes via standardized terminologies, such as billing codes. However, this approach may be biased by the experience and expectations of the experts, as well as the vocabulary used to describe such patients. The goal of this work is to develop a data-driven strategy to (1) infer phenotypic topics within patient populations and (2) assess the degree to which such topics facilitate a mapping across populations in disparate healthcare systems. We adapt a generative topic modeling strategy, based on latent Dirichlet allocation, to infer phenotypic topics. We utilize a variance analysis to assess the projection of a patient population from one healthcare system onto the topics learned from another system. The consistency of learned phenotypic topics was evaluated using (1) the similarity of topics, (2) the stability of a patient population across topics, and (3) the transferability of a topic across sites. We evaluated our approaches using four months of inpatient data from two geographically distinct healthcare systems: (1) Northwestern Memorial Hospital (NMH) and (2) Vanderbilt University Medical Center (VUMC). The method learned 25 phenotypic topics from each healthcare system. The average cosine similarity between matched topics across the two sites was 0.39, a remarkably high value given the very high dimensionality of the feature space. The average stability of VUMC and NMH patients across the topics of two sites was 0.988 and 0.812, respectively, as measured by the Pearson correlation coefficient. Also the VUMC and NMH topics have smaller variance of characterizing

  18. Effect of problem based approach on medical students’ learning satisfaction and understanding in the histology course topics

    Directory of Open Access Journals (Sweden)

    MJ Rezaie

    2013-05-01

    Full Text Available Background and purpose: Problem-based learning (PBL is a term used within education for a range of teaching approaches that encourage students to learn through the structured exploration of a problem. Histology comes early in the curriculum and the medical students seem unable to see the value of the content, they don't appear to be motivated to learn the content. This project used PBL to help the students make the connection between the content and clinical aspects.Methods: Thirty six undergraduate medical students, 22 female and 14 male, enrolled in the histology course during the spring semester of 2008. A survey which collected information relative to gender, course load, and workload and study time was used. The subjects were accessory glands of digestive system histology. The course is designed into four units: tree units of salivary glands, pancreas and gall bladder histology, were presented in a traditional lecture format; the fourth unit, liver was presented in a problem-based format that used clinical practice. Assessment focused on three issues of a. student engagement, b. lesson assessment in terms of clarity, interest and usefulness and c. student understanding.Results: Student comments collected during PBL class periods indicate engagement in the topic. In PBL method of teaching most of responses were consistent with the aim of teaching but in traditional classes few responses relate to the objectives at hand. Students had more active partnership in PBL class. Students found PBL class more useful, interesting and clear in terms of subject material than traditional method.Conclusions: In this project student comments collected during PBL class periods indicated more engagement in the topic. Students’ understanding of material were significantly higher and students’ partnership in PBL class was more than traditional classes.Keywords: PBL,HISTOLOGY, STUDENT PARTICIPATION

  19. Discriminative Relational Topic Models.

    Science.gov (United States)

    Chen, Ning; Zhu, Jun; Xia, Fei; Zhang, Bo

    2015-05-01

    Relational topic models (RTMs) provide a probabilistic generative process to describe both the link structure and document contents for document networks, and they have shown promise on predicting network structures and discovering latent topic representations. However, existing RTMs have limitations in both the restricted model expressiveness and incapability of dealing with imbalanced network data. To expand the scope and improve the inference accuracy of RTMs, this paper presents three extensions: 1) unlike the common link likelihood with a diagonal weight matrix that allows the-same-topic interactions only, we generalize it to use a full weight matrix that captures all pairwise topic interactions and is applicable to asymmetric networks; 2) instead of doing standard Bayesian inference, we perform regularized Bayesian inference (RegBayes) with a regularization parameter to deal with the imbalanced link structure issue in real networks and improve the discriminative ability of learned latent representations; and 3) instead of doing variational approximation with strict mean-field assumptions, we present collapsed Gibbs sampling algorithms for the generalized relational topic models by exploring data augmentation without making restricting assumptions. Under the generic RegBayes framework, we carefully investigate two popular discriminative loss functions, namely, the logistic log-loss and the max-margin hinge loss. Experimental results on several real network datasets demonstrate the significance of these extensions on improving prediction performance.

  20. Artificial Intelligence-Based Student Learning Evaluation: A Concept Map-Based Approach for Analyzing a Student's Understanding of a Topic

    Science.gov (United States)

    Jain, G. Panka; Gurupur, Varadraj P.; Schroeder, Jennifer L.; Faulkenberry, Eileen D.

    2014-01-01

    In this paper, we describe a tool coined as artificial intelligence-based student learning evaluation tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here, we calculate the probability distribution of…

  1. Hot Topics in Science Teaching

    Science.gov (United States)

    Ediger, Marlow

    2018-01-01

    There are vital topics in science teaching and learning which are mentioned frequently in the literature. Specialists advocate their importance in the curriculum as well as science teachers stress their saliency. Inservice education might well assist new and veteran teachers in knowledge and skills. The very best science lessons and units of…

  2. STEM based learning to facilitate middle school students’ conceptual change, creativity and collaboration in organization of living system topic

    Science.gov (United States)

    Rustaman, N. Y.; Afianti, E.; Maryati, S.

    2018-05-01

    A study using one group pre-post-test experimental design on Life organization system topic was carried out to investigate student’s tendency in learning abstract concept, their creativity and collaboration in designing and producing cell models through STEM-based learning. A number of seventh grade students in Cianjur district were involved as research subjects (n=34). Data were collected using two tier test for tracing changes in student conception before and after the application of STEM-based learning, and rubrics in creativity design (adopted from Torrance) and product on cell models (individually, in group), and rubric for self-assessment and observed skills on collaboration adapted from Marzano’s for life-long learning. Later the data obtained were analyzed qualitatively by interpreting the tendency of data presented in matrix sorted by gender. Research findings showed that the percentage of student’s scientific concept mastery is moderate in general. Their creativity in making a cell model design varied in category (expressing, emergent, excellent, not yet evident). Student’s collaboration varied from excellent, fair, good, less once, to less category in designing cell model. It was found that STEM based learning can facilitate students conceptual change, creativity and collaboration.

  3. Macroevolutionary dynamics and historical biogeography of primate diversification inferred from a species supermatrix.

    Directory of Open Access Journals (Sweden)

    Mark S Springer

    Full Text Available Phylogenetic relationships, divergence times, and patterns of biogeographic descent among primate species are both complex and contentious. Here, we generate a robust molecular phylogeny for 70 primate genera and 367 primate species based on a concatenation of 69 nuclear gene segments and ten mitochondrial gene sequences, most of which were extracted from GenBank. Relaxed clock analyses of divergence times with 14 fossil-calibrated nodes suggest that living Primates last shared a common ancestor 71-63 Ma, and that divergences within both Strepsirrhini and Haplorhini are entirely post-Cretaceous. These results are consistent with the hypothesis that the Cretaceous-Paleogene mass extinction of non-avian dinosaurs played an important role in the diversification of placental mammals. Previous queries into primate historical biogeography have suggested Africa, Asia, Europe, or North America as the ancestral area of crown primates, but were based on methods that were coopted from phylogeny reconstruction. By contrast, we analyzed our molecular phylogeny with two methods that were developed explicitly for ancestral area reconstruction, and find support for the hypothesis that the most recent common ancestor of living Primates resided in Asia. Analyses of primate macroevolutionary dynamics provide support for a diversification rate increase in the late Miocene, possibly in response to elevated global mean temperatures, and are consistent with the fossil record. By contrast, diversification analyses failed to detect evidence for rate-shift changes near the Eocene-Oligocene boundary even though the fossil record provides clear evidence for a major turnover event ("Grande Coupure" at this time. Our results highlight the power and limitations of inferring diversification dynamics from molecular phylogenies, as well as the sensitivity of diversification analyses to different species concepts.

  4. The Future of Learning: From eLearning to mLearning.

    Science.gov (United States)

    Keegan, Desmond

    The future of electronic learning was explored in an analysis that viewed the provision of learning at a distance as a continuum and traced the evolution from distance learning to electronic learning to mobile learning in Europe and elsewhere. Special attention was paid to the following topics: (1) the impact of the industrial revolution, the…

  5. Selected topics from classical bacterial genetics.

    Science.gov (United States)

    Raleigh, Elisabeth A; Elbing, Karen; Brent, Roger

    2002-08-01

    Current cloning technology exploits many facts learned from classical bacterial genetics. This unit covers those that are critical to understanding the techniques described in this book. Topics include antibiotics, the LAC operon, the F factor, nonsense suppressors, genetic markers, genotype and phenotype, DNA restriction, modification and methylation and recombination.

  6. Interpretable Topic Features for Post-ICU Mortality Prediction.

    Science.gov (United States)

    Luo, Yen-Fu; Rumshisky, Anna

    2016-01-01

    Electronic health records provide valuable resources for understanding the correlation between various diseases and mortality. The analysis of post-discharge mortality is critical for healthcare professionals to follow up potential causes of death after a patient is discharged from the hospital and give prompt treatment. Moreover, it may reduce the cost derived from readmissions and improve the quality of healthcare. Our work focused on post-discharge ICU mortality prediction. In addition to features derived from physiological measurements, we incorporated ICD-9-CM hierarchy into Bayesian topic model learning and extracted topic features from medical notes. We achieved highest AUCs of 0.835 and 0.829 for 30-day and 6-month post-discharge mortality prediction using baseline and topic proportions derived from Labeled-LDA. Moreover, our work emphasized the interpretability of topic features derived from topic model which may facilitates the understanding and investigation of the complexity between mortality and diseases.

  7. Influence of Native Language Vocabulary and Topic Knowledge on Foreign Language Vocabulary Learning in Health Care Providers

    Directory of Open Access Journals (Sweden)

    Marcia Foresee Drumhiller

    2013-05-01

    Full Text Available Adults attending short, language for specific purpose courses may have expertise not utilized in general foreign language courses. The present study investigates two factors that may influence the acquisition of medical Spanish vocabulary in such persons: native English vocabulary size and topic knowledge. Forty-four health care workers attended 12 hr of medical Spanish instruction. Prior to instruction, the Nelson–Denny Vocabulary Test, a Medical Spanish vocabulary test, and an English Medical Terminology Test (an indicator of topic knowledge were administered. The Medical Spanish Vocabulary Test was readministered at posttest. Individually, both English medical terminology knowledge and English vocabulary size were significant predictors of medical Spanish vocabulary acquisition, but English medical terminology knowledge explained most of the variance in medical Spanish vocabulary acquisition. The results are discussed in terms of the impact of expert memory organization on the ability to learn new labels in a second language. A curricular shift toward content-centered vocabulary in language for specific purpose courses may be advantageous for some groups of foreign language learners.

  8. Using Technology to Support Discussions on Sensitive Topics in the Study of Business Ethics

    Directory of Open Access Journals (Sweden)

    Michelle WL Fong

    2015-06-01

    Full Text Available There is a dearth of research into teaching strategies and learning approaches for units involving sensitive topics that can provoke an emotional response in students. In a business ethics unit, attempts to strike a balance between conceptual knowledge and theory and skills training can be challenging because the unit can involve personal, sensitive or controversial topics. When engaging in deep and meaningful face-to-face discussion, students may unknowingly divulge personal opinions that they later regret or become identified with by other students over time. Value-laden topics may also lead to clashes between students if face-to-face discussions are not managed properly. This paper considers the use of technology in blended learning to provide an optimal learning environment for student discussion on sensitive topics via role-play and simulation in a first-year business ethics unit. The Audience Response System (ARS, online discussion boards and blogs, and wikis are assessed for their suitability in supporting online role-play and simulation. Among these online tools, asynchronous online discussion boards and blogs are the ideal tools for supporting student discussion on sensitive topics in online role-play and simulation.

  9. Exercise and Physical Fitness: MedlinePlus Health Topic

    Science.gov (United States)

    ... Learn to love exercise Make time to move Outdoor fitness routine Physical activity Working with a personal trainer Yoga for health Show More Show Less Related Health Topics Benefits of Exercise Exercise for Children Exercise for Seniors ...

  10. What is the Effect of Case-Based Learning on the Academic Achievement of Students on the Topic of "Biochemical Oxygen Demand?"

    Science.gov (United States)

    Günter, Tuğçe; Alpat, Sibel Kılınç

    2017-11-01

    The purpose of this study was to investigate the effect of the case-based learning (CBL) method used in "biochemical oxygen demand (BOD)," which is a topic taught in the environmental chemistry course, at Dokuz Eylul University, on the academic achievement and opinions of students. The research had a quasi-experimental design and the study group consisted of 4th and 5th grade students (N = 18) attending the Chemistry Teaching Program in a university in Izmir. The "Biochemical Oxygen Demand Achievement Test (BODAT)" and the structured interview form were used as data collection tools. The results of BODAT post-test showed the higher increase in the achievement scores of the experimental group may be an indication of the effectiveness of the CBL method in improving academic achievement in the relevant topic. In addition, the experimental and control group students had positive opinions regarding the method, the scenario, and the material. The students found the method, the scenario, and the material to be interesting, understandable/instructional, relatable with everyday life, suitable for the topic, and enhancing active participation.

  11. Linking micro- and macroevolutionary perspectives to evaluate the role of Quaternary sea-level oscillations in island diversification.

    Science.gov (United States)

    Papadopoulou, Anna; Knowles, L Lacey

    2017-12-01

    With shifts in island area, isolation, and cycles of island fusion-fission, the role of Quaternary sea-level oscillations as drivers of diversification is complex and not well understood. Here, we conduct parallel comparisons of population and species divergence between two island areas of equivalent size that have been affected differently by sea-level oscillations, with the aim to understand the micro- and macroevolutionary dynamics associated with sea-level change. Using genome-wide datasets for a clade of seven Amphiacusta ground cricket species endemic to the Puerto Rico Bank (PRB), we found consistently deeper interspecific divergences and higher population differentiation across the unfragmented Western PRB, in comparison to the currently fragmented Eastern PRB that has experienced extreme changes in island area and connectivity during the Quaternary. We evaluate alternative hypotheses related to the microevolutionary processes (population splitting, extinction, and merging) that regulate the frequency of completed speciation across the PRB. Our results suggest that under certain combinations of archipelago characteristics and taxon traits, the repeated changes in island area and connectivity may create an opposite effect to the hypothesized "species pump" action of oscillating sea levels. Our study highlights how a microevolutionary perspective can complement current macroecological work on the Quaternary dynamics of island biodiversity. © 2017 The Author(s). Evolution © 2017 The Society for the Study of Evolution.

  12. Learning Analytics for Networked Learning Models

    Science.gov (United States)

    Joksimovic, Srecko; Hatala, Marek; Gaševic, Dragan

    2014-01-01

    Teaching and learning in networked settings has attracted significant attention recently. The central topic of networked learning research is human-human and human-information interactions occurring within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach to…

  13. PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models.

    Science.gov (United States)

    Glueck, Michael; Naeini, Mahdi Pakdaman; Doshi-Velez, Finale; Chevalier, Fanny; Khan, Azam; Wigdor, Daniel; Brudno, Michael

    2018-01-01

    PhenoLines is a visual analysis tool for the interpretation of disease subtypes, derived from the application of topic models to clinical data. Topic models enable one to mine cross-sectional patient comorbidity data (e.g., electronic health records) and construct disease subtypes-each with its own temporally evolving prevalence and co-occurrence of phenotypes-without requiring aligned longitudinal phenotype data for all patients. However, the dimensionality of topic models makes interpretation challenging, and de facto analyses provide little intuition regarding phenotype relevance or phenotype interrelationships. PhenoLines enables one to compare phenotype prevalence within and across disease subtype topics, thus supporting subtype characterization, a task that involves identifying a proposed subtype's dominant phenotypes, ages of effect, and clinical validity. We contribute a data transformation workflow that employs the Human Phenotype Ontology to hierarchically organize phenotypes and aggregate the evolving probabilities produced by topic models. We introduce a novel measure of phenotype relevance that can be used to simplify the resulting topology. The design of PhenoLines was motivated by formative interviews with machine learning and clinical experts. We describe the collaborative design process, distill high-level tasks, and report on initial evaluations with machine learning experts and a medical domain expert. These results suggest that PhenoLines demonstrates promising approaches to support the characterization and optimization of topic models.

  14. A comparison of evaluation metrics for biomedical journals, articles, and websites in terms of sensitivity to topic.

    Science.gov (United States)

    Fu, Lawrence D; Aphinyanaphongs, Yindalon; Wang, Lily; Aliferis, Constantin F

    2011-08-01

    Evaluating the biomedical literature and health-related websites for quality are challenging information retrieval tasks. Current commonly used methods include impact factor for journals, PubMed's clinical query filters and machine learning-based filter models for articles, and PageRank for websites. Previous work has focused on the average performance of these methods without considering the topic, and it is unknown how performance varies for specific topics or focused searches. Clinicians, researchers, and users should be aware when expected performance is not achieved for specific topics. The present work analyzes the behavior of these methods for a variety of topics. Impact factor, clinical query filters, and PageRank vary widely across different topics while a topic-specific impact factor and machine learning-based filter models are more stable. The results demonstrate that a method may perform excellently on average but struggle when used on a number of narrower topics. Topic-adjusted metrics and other topic robust methods have an advantage in such situations. Users of traditional topic-sensitive metrics should be aware of their limitations. Copyright © 2011 Elsevier Inc. All rights reserved.

  15. A Comparison of Evaluation Metrics for Biomedical Journals, Articles, and Websites in Terms of Sensitivity to Topic

    Science.gov (United States)

    Fu, Lawrence D.; Aphinyanaphongs, Yindalon; Wang, Lily; Aliferis, Constantin F.

    2011-01-01

    Evaluating the biomedical literature and health-related websites for quality are challenging information retrieval tasks. Current commonly used methods include impact factor for journals, PubMed’s clinical query filters and machine learning-based filter models for articles, and PageRank for websites. Previous work has focused on the average performance of these methods without considering the topic, and it is unknown how performance varies for specific topics or focused searches. Clinicians, researchers, and users should be aware when expected performance is not achieved for specific topics. The present work analyzes the behavior of these methods for a variety of topics. Impact factor, clinical query filters, and PageRank vary widely across different topics while a topic-specific impact factor and machine learning-based filter models are more stable. The results demonstrate that a method may perform excellently on average but struggle when used on a number of narrower topics. Topic adjusted metrics and other topic robust methods have an advantage in such situations. Users of traditional topic-sensitive metrics should be aware of their limitations. PMID:21419864

  16. Topic Continuity in Informal Conversations between Native and Non-Native Speakers of English

    Science.gov (United States)

    Morris-Adams, Muna

    2013-01-01

    Topic management by non-native speakers (NNSs) during informal conversations has received comparatively little attention from researchers, and receives surprisingly little attention in second language learning and teaching. This article reports on one of the topic management strategies employed by international students during informal, social…

  17. Validity And Practicality of Experiment Integrated Guided Inquiry-Based Module on Topic of Colloidal Chemistry for Senior High School Learning

    Science.gov (United States)

    Andromeda, A.; Lufri; Festiyed; Ellizar, E.; Iryani, I.; Guspatni, G.; Fitri, L.

    2018-04-01

    This Research & Development study aims to produce a valid and practical experiment integrated guided inquiry based module on topic of colloidal chemistry. 4D instructional design model was selected in this study. Limited trial of the product was conducted at SMAN 7 Padang. Instruments used were validity and practicality questionnaires. Validity and practicality data were analyzed using Kappa moment. Analysis of the data shows that Kappa moment for validity was 0.88 indicating a very high degree of validity. Kappa moments for the practicality from students and teachers were 0.89 and 0.95 respectively indicating high degree of practicality. Analysis on the module filled in by students shows that 91.37% students could correctly answer critical thinking, exercise, prelab, postlab and worksheet questions asked in the module. These findings indicate that the integrated guided inquiry based module on topic of colloidal chemistry was valid and practical for chemistry learning in senior high school.

  18. Exploiting Topic Pragmatics for New Event Detection in TDT-2003

    National Research Council Canada - National Science Library

    Braun, Ronald K; Kaneshiro, Ryan

    2003-01-01

    .... We combined a number of "pragmatics-based" classifiers in an ensemble-learning framework to identify the first story of a new topic to link subsequent stories together as they unfold across multiple news streams...

  19. Proposal for inclusion of topics of particle physics integrated electric charge through a potentially meaningful teaching units

    Directory of Open Access Journals (Sweden)

    Lisiane Barcellos Calheiro

    2014-03-01

    Full Text Available In this article the results of the analysis of free and concept maps produced are presented from the application and evaluation of a Potentially Meaningful Teaching Units – PMTU, which is a teaching sequence based on various learning theories and seeks to promote meaningful student learning. Presents, in this work, part of a research Masters in Science Education which deals with the inclusion of topics of particle physics integrated with traditional content of the third year of high school. It was implemented in a third grade high school class of a State School in Santa Maria, Rio Grande do Sul, and Brazil. The PMTU aimed to address in an integrated manner threads for Particle Physics and Electronics. A didactic sequence that integrated the topics of electric charge, atomic models, elementary particles, quantization and process electrification was applied. Such integration aimed at stimulating the interest on topics related to Modern and Contemporary Physics. It was developed using PMTU activities that aimed at promoting meaningful learning and knowledge construction in the classroom, Since the topics involved were quite complex, this made their integration a real challenge to the high school teachers, and resulted in changes in their teaching practices. Research showed that the inclusion of topics on physics of elementary particles the and electricity, through Potentially Meaningful Teaching Units, show satisfactory results in the students’ learning.

  20. Learning "While" Working: Success Stories on Workplace Learning in Europe

    Science.gov (United States)

    Lardinois, Rocio

    2011-01-01

    Cedefop's report "Learning while working: success stories on workplace learning in Europe" presents an overview of key trends in adult learning in the workplace. It takes stock of previous research carried out by Cedefop between 2003 and 2010 on key topics for adult learning: governance and the learning regions; social partner roles in…

  1. An eco-epidemiological study of Morbilli-related paramyxovirus infection in Madagascar bats reveals host-switching as the dominant macro-evolutionary mechanism.

    Science.gov (United States)

    Mélade, Julien; Wieseke, Nicolas; Ramasindrazana, Beza; Flores, Olivier; Lagadec, Erwan; Gomard, Yann; Goodman, Steven M; Dellagi, Koussay; Pascalis, Hervé

    2016-04-12

    An eco-epidemiological investigation was carried out on Madagascar bat communities to better understand the evolutionary mechanisms and environmental factors that affect virus transmission among bat species in closely related members of the genus Morbillivirus, currently referred to as Unclassified Morbilli-related paramyxoviruses (UMRVs). A total of 947 bats were investigated originating from 52 capture sites (22 caves, 18 buildings, and 12 outdoor sites) distributed over different bioclimatic zones of the island. Using RT-PCR targeting the L-polymerase gene of the Paramyxoviridae family, we found that 10.5% of sampled bats were infected, representing six out of seven families and 15 out of 31 species analyzed. Univariate analysis indicates that both abiotic and biotic factors may promote viral infection. Using generalized linear modeling of UMRV infection overlaid on biotic and abiotic variables, we demonstrate that sympatric occurrence of bats is a major factor for virus transmission. Phylogenetic analyses revealed that all paramyxoviruses infecting Malagasy bats are UMRVs and showed little host specificity. Analyses using the maximum parsimony reconciliation tool CoRe-PA, indicate that host-switching, rather than co-speciation, is the dominant macro-evolutionary mechanism of UMRVs among Malagasy bats.

  2. Evaluation of strategies to promote learning using ICT: the case of a course on Topics of Multivariate Statistics

    Directory of Open Access Journals (Sweden)

    Mario Miguel Ojeda Ramírez

    2017-01-01

    Full Text Available Currently some teachers implement different methods in order to promote education linked to reality, to provide more effective training and a meaningful learning. Activemethods aim to increase motivation and create scenarios in which student participation is central to achieve a more meaningful learning. This paper reports on the implementation of a process of educational innovation in the course of Topics of Multivariate Statistics offered in the degree in Statistical Sciences and Techniques at the Universidad Veracruzana (Mexico. The strategies used as sets for data collection, design and project development and realization of individual and group presentations are described. Information and communication technologies (ICT used are: EMINUS, distributed education platform of the Universidad Veracruzana, and managing files with Dropbox, plus communication via WhatsApp. The R software was used for statistical analysis and for making presentations in academic forums. To explore students' perceptions depth interviews were conducted and indicators for evaluating the student satisfaction were defined; the results show positive evidence, concluding that students were satisfied with the way that the course was designed and implemented. They also stated that they feel able to apply what they have learned. The opinions put that using these strategies they were feeling in preparation for their professional life. Finally, some suggestions for improving the course in future editions are included.

  3. An enhanced model for automatically extracting topic phrase from ...

    African Journals Online (AJOL)

    The key benefit foreseen from this automatic document classification is not only related to search engines, but also to many other fields like, document organization, text filtering and semantic index managing. Key words: Keyphrase extraction, machine learning, search engine snippet, document classification, topic tracking ...

  4. Integrating STEM education through Project-Based Inquiry Learning (PIL) in topic space among year one pupils

    Science.gov (United States)

    Ng, Chee Hoe; Adnan, M.

    2018-01-01

    This research aims to investigate the effect of integrating STEM education through Project-based Inquiry Learning (PIL) and the users of the STEM modules which consists of five projects on topic Space in Year One Mathematics Syllabus in Kurikulum Standard Sekolah Rendah (KSSR) of Malaysia. STEM education in primary school focuses on the introduces and awareness of students about the importance of STEM education. The projects in STEM modules are covering the different ethnic cultures in Malaysia. The modules are designed using the four phases in PIL. Concepts and the explanation of STEM education on each project are emphasized and provided in the modules so the teachers able to carry out the projects by using the modules. By using the modules in primary Mathematics, the students and teachers will be more understanding on how to integrate the Mathematics’ concepts in STEM education.

  5. Value learning through reinforcement : The basics of dopamine and reinforcement learning

    NARCIS (Netherlands)

    Daw, N.D.; Tobler, P.N.; Glimcher, P.W.; Fehr, E.

    2013-01-01

    This chapter provides an overview of reinforcement learning and temporal difference learning and relates these topics to the firing properties of midbrain dopamine neurons. First, we review the RescorlaWagner learning rule and basic learning phenomena, such as blocking, which the rule explains. Then

  6. An introduction to machine learning with Scikit-Learn

    CERN Multimedia

    CERN. Geneva

    2015-01-01

    This tutorial gives an introduction to the scientific ecosystem for data analysis and machine learning in Python. After a short introduction of machine learning concepts, we will demonstrate on High Energy Physics data how a basic supervised learning analysis can be carried out using the Scikit-Learn library. Topics covered include data loading facilities and data representation, supervised learning algorithms, pipelines, model selection and evaluation, and model introspection.

  7. An overview of topic modeling and its current applications in bioinformatics.

    Science.gov (United States)

    Liu, Lin; Tang, Lin; Dong, Wen; Yao, Shaowen; Zhou, Wei

    2016-01-01

    With the rapid accumulation of biological datasets, machine learning methods designed to automate data analysis are urgently needed. In recent years, so-called topic models that originated from the field of natural language processing have been receiving much attention in bioinformatics because of their interpretability. Our aim was to review the application and development of topic models for bioinformatics. This paper starts with the description of a topic model, with a focus on the understanding of topic modeling. A general outline is provided on how to build an application in a topic model and how to develop a topic model. Meanwhile, the literature on application of topic models to biological data was searched and analyzed in depth. According to the types of models and the analogy between the concept of document-topic-word and a biological object (as well as the tasks of a topic model), we categorized the related studies and provided an outlook on the use of topic models for the development of bioinformatics applications. Topic modeling is a useful method (in contrast to the traditional means of data reduction in bioinformatics) and enhances researchers' ability to interpret biological information. Nevertheless, due to the lack of topic models optimized for specific biological data, the studies on topic modeling in biological data still have a long and challenging road ahead. We believe that topic models are a promising method for various applications in bioinformatics research.

  8. Science teacher orientations and PCK across science topics in grade 9 earth science

    Science.gov (United States)

    Campbell, Todd; Melville, Wayne; Goodwin, Dawne

    2017-07-01

    While the literature is replete with studies examining teacher knowledge and pedagogical content knowledge (PCK), few studies have investigated how science teacher orientations (STOs) shape classroom instruction. Therefore, this research explores the interplay between a STOs and the topic specificity of PCK across two science topics within a grade 9 earth science course. Through interviews and observations of one teacher's classroom across two sequentially taught, this research contests the notion that teachers hold a single way of conceptualising science teaching and learning. In this, we consider if multiple ontologies can provide potential explanatory power for characterising instructional enactments. In earlier work with the teacher in this study, using generic interview prompts and general discussions about science teaching and learning, we accepted the existence of a unitary STO and its promise of consistent reformed instruction in the classroom. However, upon close examination of instruction focused on different science topics, evidence was found to demonstrate the explanatory power of multiple ontologies for shaping characteristically different epistemological constructions across science topics. This research points to the need for care in generalising about teacher practice, as it reveals that a teacher's practice, and orientation, can vary, dependent on the context and science topics taught.

  9. Topics and topic prominence in two sign languages

    NARCIS (Netherlands)

    Kimmelman, V.

    2015-01-01

    In this paper we describe topic marking in Russian Sign Language (RSL) and Sign Language of the Netherlands (NGT) and discuss whether these languages should be considered topic prominent. The formal markers of topics in RSL are sentence-initial position, a prosodic break following the topic, and

  10. Evaluating topic model interpretability from a primary care physician perspective.

    Science.gov (United States)

    Arnold, Corey W; Oh, Andrea; Chen, Shawn; Speier, William

    2016-02-01

    Probabilistic topic models provide an unsupervised method for analyzing unstructured text. These models discover semantically coherent combinations of words (topics) that could be integrated in a clinical automatic summarization system for primary care physicians performing chart review. However, the human interpretability of topics discovered from clinical reports is unknown. Our objective is to assess the coherence of topics and their ability to represent the contents of clinical reports from a primary care physician's point of view. Three latent Dirichlet allocation models (50 topics, 100 topics, and 150 topics) were fit to a large collection of clinical reports. Topics were manually evaluated by primary care physicians and graduate students. Wilcoxon Signed-Rank Tests for Paired Samples were used to evaluate differences between different topic models, while differences in performance between students and primary care physicians (PCPs) were tested using Mann-Whitney U tests for each of the tasks. While the 150-topic model produced the best log likelihood, participants were most accurate at identifying words that did not belong in topics learned by the 100-topic model, suggesting that 100 topics provides better relative granularity of discovered semantic themes for the data set used in this study. Models were comparable in their ability to represent the contents of documents. Primary care physicians significantly outperformed students in both tasks. This work establishes a baseline of interpretability for topic models trained with clinical reports, and provides insights on the appropriateness of using topic models for informatics applications. Our results indicate that PCPs find discovered topics more coherent and representative of clinical reports relative to students, warranting further research into their use for automatic summarization. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  11. Professional development in sport psychology : relating learning experiences to learning outcomes

    NARCIS (Netherlands)

    Hutter, R. I. (Vana); Oldenhof-Veldman, Tanja; Pijpers, J. R. (Rob); Oudejans, Raôul R.D.

    2017-01-01

    To enhance the training of sport psychology consultants, it is important to know which learning experiences are useful for which components of professional development. We interviewed 15 novice consultants on their learning experiences related to 13 different topics. Traditional learning experiences

  12. Produção em Administração sobre E-Learning no Brasil: Dissonância com os Hot Topics Internacionais

    Directory of Open Access Journals (Sweden)

    Battistella, Luciana Flores

    2012-06-01

    Full Text Available This manuscript analyzes the Brazilian and the international publications on e-learning to verify if they share similarities, especially if the most cited authors are the same in both literatures. The research focused on e-learning in the field of management. We deployed a bibliometric approach to identify the national and the international production. Results show that papers on this subject increased in the last years; that the authors with the greatest number of papers cited are not necessarily the most relevant; that the focus is on the educational field; and that Brazilian studies did not cite the international hot topics. We conclude that there is a gap between the Brazilian and the international literatures, and that the Brazilian papers are based on less relevant references, thus putting in evidence a dissonance between both strands of research.

  13. The Topic of Life and Death in Verbal Creativity of Adolescents aged 14—16 Years

    Directory of Open Access Journals (Sweden)

    Hoziev V.B.,

    2016-01-01

    Full Text Available The paper focuses on how adolescents aged 14—16 years use the topic of life and death in their verbal creativity. The authors carried out an experimental research on the genesis of this process and describe how the topic evolves as a specific new formation of verbal creativity in adolescence. At the center of the research were conditions of verbal creativity. The subjects in three samples (traditional learning; spontaneous development; project-based-learning were asked to write an essay on any topic; these essays were subsequently assessed using content analysis. The outcomes revealed that the topic of life and death is likely to appear in the essays of those adolescents whose reference group is more comfortable psychologically. The literary merit of writing statistically correlates with the effectiveness of verbal creativity acquisition. In its psychological content the topic was actually a challenge, a manifestation of rebellion of a young man, an important attempt to get closer to the hidden boundary of the known, a significant step in initiation.

  14. A Topic Model Approach to Representing and Classifying Football Plays

    KAUST Repository

    Varadarajan, Jagannadan

    2013-09-09

    We address the problem of modeling and classifying American Football offense teams’ plays in video, a challenging example of group activity analysis. Automatic play classification will allow coaches to infer patterns and tendencies of opponents more ef- ficiently, resulting in better strategy planning in a game. We define a football play as a unique combination of player trajectories. To this end, we develop a framework that uses player trajectories as inputs to MedLDA, a supervised topic model. The joint maximiza- tion of both likelihood and inter-class margins of MedLDA in learning the topics allows us to learn semantically meaningful play type templates, as well as, classify different play types with 70% average accuracy. Furthermore, this method is extended to analyze individual player roles in classifying each play type. We validate our method on a large dataset comprising 271 play clips from real-world football games, which will be made publicly available for future comparisons.

  15. Topic Modeling of NASA Space System Problem Reports: Research in Practice

    Science.gov (United States)

    Layman, Lucas; Nikora, Allen P.; Meek, Joshua; Menzies, Tim

    2016-01-01

    Problem reports at NASA are similar to bug reports: they capture defects found during test, post-launch operational anomalies, and document the investigation and corrective action of the issue. These artifacts are a rich source of lessons learned for NASA, but are expensive to analyze since problem reports are comprised primarily of natural language text. We apply topic modeling to a corpus of NASA problem reports to extract trends in testing and operational failures. We collected 16,669 problem reports from six NASA space flight missions and applied Latent Dirichlet Allocation topic modeling to the document corpus. We analyze the most popular topics within and across missions, and how popular topics changed over the lifetime of a mission. We find that hardware material and flight software issues are common during the integration and testing phase, while ground station software and equipment issues are more common during the operations phase. We identify a number of challenges in topic modeling for trend analysis: 1) that the process of selecting the topic modeling parameters lacks definitive guidance, 2) defining semantically-meaningful topic labels requires nontrivial effort and domain expertise, 3) topic models derived from the combined corpus of the six missions were biased toward the larger missions, and 4) topics must be semantically distinct as well as cohesive to be useful. Nonetheless,topic modeling can identify problem themes within missions and across mission lifetimes, providing useful feedback to engineers and project managers.

  16. Innovative design with learning reflexiveness for developing the Hamiltonian circuit learning games

    Directory of Open Access Journals (Sweden)

    Meng-Chien Yang

    2018-02-01

    Full Text Available In this study, we use a new proposed framework to develop the Hamiltonian circuit learning games for college students. The framework is for enhancing learners’ activities with learning reflexiveness. The design of these games is based on this framework to achieve the targeted learning outcomes. In recent years, the game-based learning is a very popular research topic. The Hamiltonian circuit is an important concepts for learning many computer science and electric engineering topics, such as IC design routing algorithm. The developed games use guiding rules to enable students to learn the Hamiltonian circuit in complicate graph problem. After the game, the learners are given a reviewing test which using the animation film for explaining the knowledge. This design concept is different from the previous studies. Through this new design, the outcome gets the better learning results under the effect of reflection. The students will have a deeper impression on the subject, and through self-learning and active thinking, in the game will have a deeper experience.

  17. Macroevolutionary diversification with limited niche disparity in a species-rich lineage of cold-climate lizards.

    Science.gov (United States)

    Reaney, Ashley M; Saldarriaga-Córdoba, Mónica; Pincheira-Donoso, Daniel

    2018-02-06

    Life diversifies via adaptive radiation when natural selection drives the evolution of ecologically distinct species mediated by their access to novel niche space, or via non-adaptive radiation when new species diversify while retaining ancestral niches. However, while cases of adaptive radiation are widely documented, examples of non-adaptively radiating lineages remain rarely observed. A prolific cold-climate lizard radiation from South America (Phymaturus), sister to a hyper-diverse adaptive radiation (Liolaemus), has extensively diversified phylogenetically and geographically, but with exceptionally minimal ecological and life-history diversification. This lineage, therefore, may offer unique opportunities to investigate the non-adaptive basis of diversification, and in combination with Liolaemus, to cover the whole spectrum of modes of diversification predicted by theory, from adaptive to non-adaptive. Using phylogenetic macroevolutionary modelling performed on a newly created 58-species molecular tree, we establish the tempo and mode of diversification in the Phymaturus radiation. Lineage accumulation in Phymaturus opposes a density-dependent (or 'niche-filling') process of diversification. Concurrently, we found that body size diversification is better described by an Ornstein-Uhlenbeck evolutionary model, suggesting stabilizing selection as the mechanism underlying niche conservatism (i.e., maintaining two fundamental size peaks), and which has predominantly evolved around two major adaptive peaks on a 'Simpsonian' adaptive landscape. Lineage diversification of the Phymaturus genus does not conform to an adaptive radiation, as it is characterised by a constant rate of species accumulation during the clade's history. Their strict habitat requirements (rocky outcrops), predominantly invariant herbivory, and especially the constant viviparous reproduction across species have likely limited their opportunities for adaptive diversifications throughout novel

  18. Peer Learning and Support of Technology in an Undergraduate Biology Course to Enhance Deep Learning

    Science.gov (United States)

    Tsaushu, Masha; Tal, Tali; Sagy, Ornit; Kali, Yael; Gepstein, Shimon; Zilberstein, Dan

    2012-01-01

    This study offers an innovative and sustainable instructional model for an introductory undergraduate course. The model was gradually implemented during 3 yr in a research university in a large-lecture biology course that enrolled biology majors and nonmajors. It gives priority to sources not used enough to enhance active learning in higher education: technology and the students themselves. Most of the lectures were replaced with continuous individual learning and 1-mo group learning of one topic, both supported by an interactive online tutorial. Assessment included open-ended complex questions requiring higher-order thinking skills that were added to the traditional multiple-choice (MC) exam. Analysis of students’ outcomes indicates no significant difference among the three intervention versions in the MC questions of the exam, while students who took part in active-learning groups at the advanced version of the model had significantly higher scores in the more demanding open-ended questions compared with their counterparts. We believe that social-constructivist learning of one topic during 1 mo has significantly contributed to student deep learning across topics. It developed a biological discourse, which is more typical to advanced stages of learning biology, and changed the image of instructors from “knowledge transmitters” to “role model scientists.” PMID:23222836

  19. Peer learning and support of technology in an undergraduate biology course to enhance deep learning.

    Science.gov (United States)

    Tsaushu, Masha; Tal, Tali; Sagy, Ornit; Kali, Yael; Gepstein, Shimon; Zilberstein, Dan

    2012-01-01

    This study offers an innovative and sustainable instructional model for an introductory undergraduate course. The model was gradually implemented during 3 yr in a research university in a large-lecture biology course that enrolled biology majors and nonmajors. It gives priority to sources not used enough to enhance active learning in higher education: technology and the students themselves. Most of the lectures were replaced with continuous individual learning and 1-mo group learning of one topic, both supported by an interactive online tutorial. Assessment included open-ended complex questions requiring higher-order thinking skills that were added to the traditional multiple-choice (MC) exam. Analysis of students' outcomes indicates no significant difference among the three intervention versions in the MC questions of the exam, while students who took part in active-learning groups at the advanced version of the model had significantly higher scores in the more demanding open-ended questions compared with their counterparts. We believe that social-constructivist learning of one topic during 1 mo has significantly contributed to student deep learning across topics. It developed a biological discourse, which is more typical to advanced stages of learning biology, and changed the image of instructors from "knowledge transmitters" to "role model scientists."

  20. Topics in multivariate approximation and interpolation

    CERN Document Server

    Jetter, Kurt

    2005-01-01

    This book is a collection of eleven articles, written by leading experts and dealing with special topics in Multivariate Approximation and Interpolation. The material discussed here has far-reaching applications in many areas of Applied Mathematics, such as in Computer Aided Geometric Design, in Mathematical Modelling, in Signal and Image Processing and in Machine Learning, to mention a few. The book aims at giving a comprehensive information leading the reader from the fundamental notions and results of each field to the forefront of research. It is an ideal and up-to-date introduction for gr

  1. Logic and Learning

    DEFF Research Database (Denmark)

    Hendricks, Vincent Fella; Gierasimczuk, Nina; de Jong, Dick

    2014-01-01

    Learning and learnability have been long standing topics of interests within the linguistic, computational, and epistemological accounts of inductive in- ference. Johan van Benthem’s vision of the “dynamic turn” has not only brought renewed life to research agendas in logic as the study of inform......Learning and learnability have been long standing topics of interests within the linguistic, computational, and epistemological accounts of inductive in- ference. Johan van Benthem’s vision of the “dynamic turn” has not only brought renewed life to research agendas in logic as the study...... of information processing, but likewise helped bring logic and learning in close proximity. This proximity relation is examined with respect to learning and belief revision, updating and efficiency, and with respect to how learnability fits in the greater scheme of dynamic epistemic logic and scientific method....

  2. How to Improve the Mastery of Students’ Concept on Photosynthesis Topic?

    Science.gov (United States)

    Ulfa, K.; Anggraeni, S.; Supriatno, B.

    2017-09-01

    The PPDP learning strategy in this research is the acronym of Practicum method, Presentation-discussion method, Demonstration method, and Presentation-discussion method. This study aims to describe the effect of applying PPDP learning strategies to mastery of high school students’ concepts on photosynthesis topic. The research method is a weak experiment, with the research design “The One-Group Pretest-Postetst Design”. The implementation of the study involved 35 students in one of the high schools in the city of Palembang. The research instrument used is in the form of test equipment, assessment rubric and questionnaire. Data were analyzed using Microsoft Excel and SPSS 24 Program. The statistical result showed that PPDP learning strategy had an effect on improving conceptual and Effective on the achievement of the value on the minimum criteria set by the school. This is due to the transformation of knowledge from hands-on to minds-on through the discovery of facts about the concept of photosynthesis. This fact leads to the construction of further understanding through cognitive sharing when the activities of the discussions formed similarity and consolidation of the concept of photosynthesis intact. In addition, demonstration activities also cause students’ logic of thinking to develop through observation of factors that may affect the rate of photosynthesis. This PPDP learning strategy can be utilized by teachers in explaining photosynthetic topic.

  3. Introduction of active learning method in learning physiology by MBBS students.

    Science.gov (United States)

    Gilkar, Suhail Ahmad; Lone, Shabiruddin; Lone, Riyaz Ahmad

    2016-01-01

    Active learning has received considerable attention over the past several years, often presented or perceived as a radical change from traditional instruction methods. Current research on learning indicates that using a variety of teaching strategies in the classroom increases student participation and learning. To introduce active learning methodology, i.e., "jigsaw technique" in undergraduate medical education and assess the student and faculty response to it. This study was carried out in the Department of Physiology in a Medical College of North India. A topic was chosen and taught using one of the active learning methods (ALMs), i.e., jigsaw technique. An instrument (questionnaire) was developed in English through an extensive review of literature and was properly validated. The students were asked to give their response on a five-point Likert scale. The feedback was kept anonymous. Faculty also provided their feedback in a separately provided feedback proforma. The data were collected, compiled, and analyzed. Of 150 students of MBBS-first year batch 2014, 142 participated in this study along with 14 faculty members of the Physiology Department. The majority of the students (>90%) did welcome the introduction of ALM and strongly recommended the use of such methods in teaching many more topics in future. 100% faculty members were of the opinion that many more topics shall be taken up using ALMs. This study establishes the fact that both the medical students and faculty want a change from the traditional way of passive, teacher-centric learning, to the more active teaching-learning techniques.

  4. Interpretable Active Learning

    OpenAIRE

    Phillips, Richard L.; Chang, Kyu Hyun; Friedler, Sorelle A.

    2017-01-01

    Active learning has long been a topic of study in machine learning. However, as increasingly complex and opaque models have become standard practice, the process of active learning, too, has become more opaque. There has been little investigation into interpreting what specific trends and patterns an active learning strategy may be exploring. This work expands on the Local Interpretable Model-agnostic Explanations framework (LIME) to provide explanations for active learning recommendations. W...

  5. Animated movies and cartoons in teaching science topics

    OpenAIRE

    Jeraj, Tina; Susman, Katarina

    2016-01-01

    Children meet cartoons in their early childhood in their home environment and afterwards also in their school environment. Cartoons and animated movies in teaching process strongly motivates and evoke good learning processes through watching, discussing and active participation in accompanying classroom activities. In this contribution, the survey about the presence of science topics and science sli-ups (errors, in contrary with reality) in selected cartoons is presented. In the research, ten...

  6. Effect of Worksheet Scaffolds on Student Learning in Problem-Based Learning

    Science.gov (United States)

    Choo, Serene S. Y.; Rotgans, Jerome I.; Yew, Elaine H. J.; Schmidt, Henk G.

    2011-01-01

    The purpose of this study was to investigate the effect of worksheets as a scaffolding tool on students' learning achievement in a problem-based learning (PBL) environment. Seventeen PBL classes (N = 241) were randomly assigned to two experimental groups--one with a worksheet provided and the other without. Students' learning of the topic at hand…

  7. Learning Tools for Knowledge Nomads: Using Personal Digital Assistants (PDAs) in Web-based Learning Environments.

    Science.gov (United States)

    Loh, Christian Sebastian

    2001-01-01

    Examines how mobile computers, or personal digital assistants (PDAs), can be used in a Web-based learning environment. Topics include wireless networks on college campuses; online learning; Web-based learning technologies; synchronous and asynchronous communication via the Web; content resources; Web connections; and collaborative learning. (LRW)

  8. Students’ Learning Obstacles and Alternative Solution in Counting Rules Learning Levels Senior High School

    Directory of Open Access Journals (Sweden)

    M A Jatmiko

    2017-12-01

    Full Text Available The counting rules is a topic in mathematics senior high school. In the learning process, teachers often find students who have difficulties in learning this topic. Knowing the characteristics of students' learning difficulties and analyzing the causes is important for the teacher, as an effort in trying to reflect the learning process and as a reference in constructing alternative learning solutions which appropriate to anticipate students’ learning obstacles. This study uses qualitative methods and involves 70 students of class XII as research subjects. The data collection techniques used in this study is diagnostic test instrument about learning difficulties in counting rules, observation, and interview. The data used to know the learning difficulties experienced by students, the causes of learning difficulties, and to develop alternative learning solutions. From the results of data analysis, the results of diagnostic tests researcher found some obstacles faced by students, such as students get confused in describing the definition, students difficulties in understanding the procedure of solving multiplication rules. Based on those problems, researcher analyzed the causes of these difficulties and make hypothetical learning trajectory as an alternative solution in counting rules learning.

  9. Analysis of Students’ Incorrect Answers on the Topic of Roman Numerals in The Fourth-Grade of Primary School

    Science.gov (United States)

    Selvianiresa, D.; Jupri, Al

    2017-02-01

    Mathematics has an important role in solving problems related to mathematical symbols. Mathematics topics are related to the daily life of students, as well as mathematics in the primary school level. In this paper, we report the results of research that aims to understand the difficulties of primary school students towards mathematics, especially on the topic of Roman numerals. The subject of this research included 38 students of fourth grade students from a primary school in the city of Bandung. The results showed that the teacher is more likely do the learning to deliver topic directly to students, rather than having to relatethe learning with a real context. In addition, after the teacher gave some exercises to students, we observed that there are some students’ answers that are unpredictable and made errors. Unexpected answers are caused by student’s unconscientious, misunderstanding, or inability to memorize in seven Roman numeral in general. The results of this analysis can be used to develop teacher competence in the teaching and learning process in the future. In this way, we expect the teacher can prepare various student responses to the given problems in the learning process.

  10. Learning environment, learning styles and conceptual understanding

    Science.gov (United States)

    Ferrer, Lourdes M.

    1990-01-01

    In recent years there have been many studies on learners developing conceptions of natural phenomena. However, so far there have been few attempts to investigate how the characteristics of the learners and their environment influence such conceptions. This study began with an attempt to use an instrument developed by McCarthy (1981) to describe learners in Malaysian primary schools. This proved inappropriate as Asian primary classrooms do not provide the same kind of environment as US classrooms. It was decided to develop a learning style checklist to suit the local context and which could be used to describe differences between learners which teachers could appreciate and use. The checklist included four dimensions — perceptual, process, self-confidence and motivation. The validated instrument was used to determine the learning style preferences of primary four pupils in Penang, Malaysia. Later, an analysis was made regarding the influence of learning environment and learning styles on conceptual understanding in the topics of food, respiration and excretion. This study was replicated in the Philippines with the purpose of investigating the relationship between learning styles and achievement in science, where the topics of food, respiration and excretion have been taken up. A number of significant relationships were observed in these two studies.

  11. Lifelong Learning Organisers: Requirements for Tools for Supporting Episodic and Semantic Learning

    Science.gov (United States)

    Vavoula, Giasemi; Sharples, Mike

    2009-01-01

    We propose Lifelong Learning Organisers (LLOs) as tools to support the capturing, organisation and retrieval of personal learning experiences, resources and notes, over a range of learning topics, at different times and places. The paper discusses general requirements for the design of LLOs based on findings from a diary-based study of everyday…

  12. Topics of internal medicine for undergraduate dental education: a qualitative study.

    Science.gov (United States)

    Kunde, A; Harendza, S

    2015-08-01

    Due to the ageing population, internal medicine has become increasingly important for dental education. Although several studies have reported dentists' dissatisfaction with their internal medicine training, no guidelines exist for internal medicine learning objectives in dental education. The aim of this study was to identify topics of internal medicine considered to be relevant for dental education by dentists and internists. Eight dentists from private dental practices in Hamburg and eight experienced internal medicine consultants from Hamburg University Hospital were recruited for semi-structured interviews about internal medicine topics relevant for dentists. Internal diseases were clustered into representative subspecialties. Dentists and internists were also asked to rate medical diseases or emergencies compiled from the literature by their relevance to dental education. Coagulopathy and endocarditis were rated highest by dentists, whilst anaphylaxis was rated highest by internists. Dentists rated hepatitis, HIV, organ transplantation and head/neck neoplasm significantly higher than internists. The largest number of different internal diseases mentioned by dentists or internists could be clustered under cardiovascular diseases. The number of specific diseases dentists considered to be relevant for dental education was higher in the subspecialties cardiovascular diseases, haematology/oncology and infectiology. We identified the internal medicine topics most relevant for dental education by surveying practising dentists and internists. The relevance of these topics should be confirmed by larger quantitative studies to develop guidelines how to design specific learning objectives for internal medicine in the dental curriculum. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  13. Children's learning of science through literature

    Science.gov (United States)

    O'Kelly, James B.

    This study examined the effects of picture books belonging to different literary genres on the learning of science by primary grade students. These genres included modern fantasy, fiction, and nonfiction. The students were exposed to two topics through books, butterflies and snails. The study focused on the effects of those books on children's expressions of (a) knowledge, (b) erroneous information, (c) creative ideas, and (d) the support required to elicit information and ideas from the children. Sixty-one children from three kindergarten and three second grade participated. Children were designated by their teachers as being high or low with respect to academic achievement. These categories allowed measurement of interactions between literary genres, grade levels, and academic achievement levels. Children first learned about butterflies, and then about snails. For each topic, children were interviewed about their knowledge and questions of the topic. Teachers engaged their classes with a book about the topic. The children were re-interviewed about their knowledge and questions about the topic. No class encountered the same genre of book twice. Comparisons of the children's prior knowledge of butterflies and snails indicated that the children possessed significantly more knowledge about butterflies than about snails. Literary genre had one significant effect on children's learning about snails. Contrary to expectations, children who encountered nonfiction produced significantly more creative expressions about snails than children who encountered faction or modern fantasy. No significant effects for literary genre were demonstrated with respect to children's learning about butterflies. The outcomes of the study indicated that nonfiction had its strongest impact on the learning of science when children have a relatively small fund of knowledge about a topic. This study has implications for future research. The inclusion of a larger number of students, classes, and

  14. Topical tags vs non-topical tags : Towards a bipartite classification?

    NARCIS (Netherlands)

    Basile, Valerio; Peroni, Silvio; Tamburini, Fabio; Vitali, Fabio

    2015-01-01

    In this paper we investigate whether it is possible to create a computational approach that allows us to distinguish topical tags (i.e. talking about the topic of a resource) and non-topical tags (i.e. describing aspects of a resource that are not related to its topic) in folksonomies, in a way that

  15. Effects of Epistemological Beliefs and Topic-Specific Beliefs on Undergraduates' Cognitive and Strategic Processing of Dual-Positional Text.

    Science.gov (United States)

    Kardash, CarolAnne M.; Howell, Karen L.

    2000-01-01

    Investigates effects of epistemological beliefs and topic-specific beliefs on undergraduates' (N=40) cognitive and strategic processing of a dual-positional text. Findings reveal that epistemological beliefs about the speed of learning affected the overall number of cognitive processes exhibited, whereas topic-specific beliefs interacted with the…

  16. Junior High School Students’ Understanding and Problem Solving Skills on the Topics of Line and Angles

    Science.gov (United States)

    Irsal, I. L.; Jupri, A.; Prabawanto, S.

    2017-09-01

    Line and angles is important topics to learn to develop the geometry skills and also mathematics skills such as understanding and problem solving skills. But, the fact was given by Indonesian researcher show that Indonesian students’ understanding and problem solving skills still low in this topics. This fact be a background to investigate students’ understanding and problem solving skills in line and angles topics. To investigate these skills, this study used descriptive-qualitative approach. Individual written test (essay) and interview was used in this study. 72 students grade 8th from one of Junior High School in Lembang, worked the written test and 18 of them were interviewed. Based on result, almost of student were have a good instrumental understanding in line and angles topic in same area, but almost all student have a low instrumental understanding in line and angles topic in different area. Almost all student have a low relational understanding. Also, almost all student have a low problem solving skills especially in make and use strategy to solve the problem and looking back their answer. Based on result there is need a meaningfulness learning strategy, which can make students build their understanding and develop their problem solving skill independently.

  17. Does prior domain-specific content knowledge influence students' recall of arguments surrounding interdisciplinary topics?

    Science.gov (United States)

    Schmidt, Hiemke K; Rothgangel, Martin; Grube, Dietmar

    2017-12-01

    Awareness of various arguments can help interactants present opinions, stress points, and build counterarguments during discussions. At school, some topics are taught in a way that students learn to accumulate knowledge and gather arguments, and later employ them during debates. Prior knowledge may facilitate recalling information on well structured, fact-based topics, but does it facilitate recalling arguments during discussions on complex, interdisciplinary topics? We assessed the prior knowledge in domains related to a bioethical topic of 277 students from Germany (approximately 15 years old), their interest in the topic, and their general knowledge. The students read a text with arguments for and against prenatal diagnostics and tried to recall the arguments one week later and again six weeks later. Prior knowledge in various domains related to the topic individually and separately helped students recall the arguments. These relationships were independent of students' interest in the topic and their general knowledge. Copyright © 2017 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

  18. Development, Validation and Summative Evaluation of Card Pairing Games for Selected Math 8 Topics

    Directory of Open Access Journals (Sweden)

    Ronald O. Ocampo

    2015-12-01

    Full Text Available Traditional classroom situation where students are taught predominantly of lecture-discussion method put the classroom in a mathophobic atmosphere. Oftentimes, students exposed to this classroom atmosphere lead to math anxiety and eventually hate the subject and the teacher. Addressing this, varied interactive strategies to create an atmosphere of discourse has been developed and promoted. The use of instructional games has been viewed as one strategy that promotes active learning inside the classroom. Instructional games support constructivist learning and social learning. This study is aimed at developing, validating and evaluating card pairing games for specific topics in Math 8. The Research and Development model ( R& D was used. The card pairing games was validated by subject experts and experts in developing games. In evaluating the card pairing games, the Quasi-Experimental Pretest-Posttest design was used. There are six card pairing games developed for specific topics in Math 8; the card pairing game is highly valid based on the result of the validation; Students exposed to card pairing game become more intact (homogeneous; Students exposed to card games enhance academic performance. It is recommended to test the effectiveness of card pairing games to other group of students; Encourage math teachers to use the developed math card pairing games for classroom instruction; Develop other card pairing game for specific topics in math.

  19. Learning and Cognition

    Science.gov (United States)

    Gr ver Aukrust, Vibeke, Ed.

    2011-01-01

    This collection of 58 articles from the recently-published third edition of the International Encyclopedia of Education focuses on learning, memory, attention, problem solving, concept formation, and language. Learning and cognition is the foundation of cognitive psychology and encompasses many topics including attention, memory, categorization,…

  20. Drugs + HIV, Learn the Link

    Medline Plus

    Full Text Available ... Tobacco/Nicotine and E-Cigs Other Drugs Related Topics Addiction Science Adolescent Brain Comorbidity College-Age & Young ... parties or hanging out with friends? It’s a topic you can’t ignore. Learn the Link: http:// ...

  1. Regularization theory for ill-posed problems selected topics

    CERN Document Server

    Lu, Shuai

    2013-01-01

    Thismonograph is a valuable contribution to thehighly topical and extremly productive field ofregularisationmethods for inverse and ill-posed problems. The author is an internationally outstanding and acceptedmathematicianin this field. In his book he offers a well-balanced mixtureof basic and innovative aspects.He demonstrates new,differentiatedviewpoints, and important examples for applications. The bookdemontrates thecurrent developments inthe field of regularization theory,such as multiparameter regularization and regularization in learning theory. The book is written for graduate and PhDs

  2. Implementation of problem-based learning (PBL) approach to improve student’s academic achievement and creativity on the topic of electrolyte and non-electrolyte solutions at vocational school

    Science.gov (United States)

    Wahyu, W.; Kurnia; Syaadah, R. S.

    2018-05-01

    The purpose of study was to investigate the implementation of PBL to improve student’s academic achievement and creativity on the topic of electrolyte and non-electrolye solutions. This study was conducted as a descriptive method with case study design. Subject of this study consisted of 30 students in the class X. Instruments used in the study included tests and observation sheets. Student’s achievement changes is calculated using N-gain formula, hereafter, the data that have been processed then was analyzed descriptively. The results showed that generally academic achievement and creativity of students has increased as indicated by the value of N-gain (0.667; 0.656). The results of the study also showed that there was a correlation with the moderate category between the academic achievement and the student’s creative thinking as indicated by (r = 0.413), meanwhile, the relationship between academic achievement and creativity(r = 0.340) that belongs to the weak category. Implementation of PBL had a good response from students with percentage 80.3%. Based on these findings, PBL is recommended to be applied on the learning process for other chemistry topics that suitable in term of characteristics between learning materials and PBL stages in order to develop academic achievement and creativity of students.

  3. Infection control as a topic for ward-based nursing education.

    Science.gov (United States)

    Gould, D; Chamberlain, A

    1994-08-01

    The link between nursing theory and practice remains a topic of ongoing debate. Related to this issue is the best place to effectively combine the two. The solution may be ward-based teaching programmes as part of formal continuing staff development, involving collaboration between college-based lecturers and acknowledged clinical experts. Using infection control as an example of a topic in need of regular and continual updating for qualified practitioners, it is argued that such programmes would be desirable because they would afford sufficient flexibility to fulfil individual learning needs and could be assessed to indicate whether nursing practice had been enhanced. Participants could be accredited for successful completion of ward-based programmes.

  4. Machine Learning and Applied Linguistics

    OpenAIRE

    Vajjala, Sowmya

    2018-01-01

    This entry introduces the topic of machine learning and provides an overview of its relevance for applied linguistics and language learning. The discussion will focus on giving an introduction to the methods and applications of machine learning in applied linguistics, and will provide references for further study.

  5. Enhancing active learning in microbiology through case based learning: experiences from an Indian medical school.

    Science.gov (United States)

    Ciraj, A M; Vinod, P; Ramnarayan, K

    2010-01-01

    Case-based learning (CBL) is an interactive student-centered exploration of real life situations. This paper describes the use of CBL as an educational strategy for promoting active learning in microbiology. CBL was introduced in the microbiology curriculum for the second year medical students after an orientation program for faculty and students. After intervention, the average student scores in CBL topics were compared with scores obtained in lecture topics. An attempt was also made to find the effect of CBL on the academic performance. Student and faculty perception on CBL were also recorded. In a cross sectional survey conducted to assess the effectiveness of CBL, students responded that, apart from helping them acquire substantive knowledge in microbiology, CBL sessions enhanced their analytic, collaborative, and communication skills. The block examination scores in CBL topics were significantly higher than those obtained for lecture topics. Faculty rated the process to be highly effective in stimulating student interest and long term retention of microbiology knowledge. The student scores were significantly higher in the group that used CBL, compared to the group that had not used CBL as a learning strategy. Our experience indicated that CBL sessions enhanced active learning in microbiology. More frequent use of CBL sessions would not only help the student gain requisite knowledge in microbiology but also enhance their analytic and communication skills.

  6. Introduction of Team Self-Regulation for Teamwork Promotion. A Case Study in Energy Engineering Topics

    Science.gov (United States)

    González-Fernández, María Jesús; Sáiz-Manzanares, María Consuelo; Alaoui, Fatima E. M.; Aguilar, Fernando; Meneses, Jesús; Montero, Eduardo

    2013-01-01

    The learning and development of teamwork skill is only possible if its achievement is a self-building process of the student. In turn, the teachers must become guides in the process of a learning which is not limited only to the topic of their own course, but which must be imbedded with a good dose of this skill. Promotion of teamwork is not…

  7. The better you feel the better you learn: do warm colours and rounded shapes enhance learning outcome in multimedia learning?

    OpenAIRE

    Münchow, Hannes; Mengelkamp, Christoph; Bannert, Maria

    2018-01-01

    The aim of the present study was to examine whether fostering positive activating affect during multimedia learning enhances learning outcome. University students were randomly assigned to either a multimedia learning environment designed to induce positive activating affect through the use of “warm” colours and rounded shapes (n=61) or an affectively neutral environment that used achromatic colours and sharp edges (n=50). Participants learned about the topic of functional neuroanatomy for 20...

  8. Tactile Models and Games as Learning Tools for Topics of Molecular and Cell Biology

    OpenAIRE

    Nelma Regina Segnini Bossolan

    2017-01-01

    The cell structure and the dynamics of its functioning are basic topics for the understanding of phenomena on a larger scale in living organisms and for which research in science teaching has suggested several strategies based on the use of images, games, computational simulations and tactile models, among other types of external representations. Our science education research group, over the last 17 years, has developed and evaluated educational materials for teaching these topics, aimed at ...

  9. Changing the Topic. Topic Position in Ancient Greek Word Order

    NARCIS (Netherlands)

    Allan, R.J.

    2014-01-01

    Ancient Greek, topics can be expressed as intra-clausal constituents but they can also precede or follow the main clause as extra-clausal constituents. Together, these various topic expressions constitute a coherent system of complementary pragmatic functions. For a comprehensive account of topic

  10. Topic-Specific Pedagogical Content Knowledge (TSPCK) in Redox and Electrochemistry of Experienced Teachers

    Science.gov (United States)

    O'Brien, Stephanie

    Topic specific pedagogical content knowledge (TSPCK) is the basis by which knowledge of subject matter of a particular topic is conveyed to students. This includes students' prior knowledge, curricular saliency, what makes a topic easy or difficult to teach, representations, and teaching strategies. The goal of this study is to assess the pedagogical content knowledge of chemistry teachers in a professional learning community in the areas of redox and electrochemistry, as this has been regarded in previous literature as conceptually challenging for students to learn. By acquiring information regarding the PCK development of experienced chemistry teachers, the education and practice of all science teachers can be advanced. This study builds upon previous research that developed validated instruments to evaluate TSPCK. The research questions sought to determine which components of TSPCK were evidenced by the instructional design decisions teachers made, what shared patterns and trends were evident, and how TSPCK related to student learning outcomes. To answer the research questions subjects completed a background questionnaire, a TSPCK assessment, and interview tasks to elicit information about pedagogical decision making and processes that influenced student learning in their classrooms. The TSPCK exam and interview responses were coded to align with thematic constructs. To determine the effect of TSPCK on student learning gains, pre/post-assessment data on redox and electrochemistry were compared to teachers' TSPCK. The chemistry teachers displayed varying levels of TSPCK in redox and electrochemistry, as evidenced by their knowledge of student learning obstacles, curricular saliency, and teaching methodologies. There was evidence of experienced teachers lacking in certain areas of TSPCK, such as the ability to identify student misconceptions, suggesting the need for programmatic improvements in pre-service and in-service training to address the needs of current

  11. Topic Order in Introductory Physics and its Impact on the STEM Curricular Ladder

    Directory of Open Access Journals (Sweden)

    Teresa L Larkin

    2017-02-01

    Full Text Available Introductory physics courses are an important rung on the curricular ladder in STEM. These courses help to strengthen students critical thinking and problem solving skills while simultaneously introducing them to many topics they will explore in more detail in later courses in physics and engineering. For these reasons, introductory physics is a required element on the curricular ladder. Most often, introductory physics is offered as a two-semester sequence with basic mechanics being taught in the first semester and electricity and magnetism in the second. In fact, this curricular sequence has not been altered in decades. Is there a reason for this? There are many other enduring questions that arise pertaining to these foundation courses in physics. These questions include: Does taking the introductory course sequence “out of order” have an impact on student learning in physics? What topics should be taught? When should these topics be taught? What topics could be left out? The list of questions is essentially endless. This paper will address some of these questions in part, through a brief discussion on student learning in a second-semester algebra-based physics course. Connections will also be made to the broader curricular ladder in STEM. To this end, an illustration that makes connections to an engineering statics course will be presented. This discussion will conclude by presenting some broader implications for the larger STEM communities.

  12. Learning in Mental Retardation: A Comprehensive Bibliography.

    Science.gov (United States)

    Gardner, James M.; And Others

    The bibliography on learning in mentally handicapped persons is divided into the following topic categories: applied behavior change, classical conditioning, discrimination, generalization, motor learning, reinforcement, verbal learning, and miscellaneous. An author index is included. (KW)

  13. Implications of Multimodal Learning Models for foreign language teaching and learning

    Directory of Open Access Journals (Sweden)

    Miguel Farías

    2011-04-01

    Full Text Available This literature review article approaches the topic of information and communications technologies from the perspective of their impact on the language learning process, with particular emphasis on the most appropriate designs of multimodal texts as informed by models of multimodal learning. The first part contextualizes multimodality within the fields of discourse studies, the psychology of learning and CALL; the second, deals with multimodal conceptions of reading and writing by discussing hypertextuality and literacy. A final section outlines the possible implications of multimodal learning models for foreign language teaching and learning.

  14. Immunomodulation and safety of topical calcineurin inhibitors for the treatment of atopic dermatitis.

    Science.gov (United States)

    Hultsch, Thomas; Kapp, Alexander; Spergel, Jonathan

    2005-01-01

    Atopic dermatitis (AD) is a chronic or chronically relapsing inflammatory skin condition that primarily affects children. Topical corticosteroids have been the mainstay of treatment since the late 1950s. While providing excellent short-term efficacy, topical corticosteroid usage is limited by potential adverse effects, including impairment of the function and viability of Langerhans cells/dendritic cells. The recently introduced topical calcineurin inhibitors pimecrolimus cream 1% (Elidel) and tacrolimus ointment 0.03 and 0.1% (Protopic) exhibit a more selective mechanism of action and do not affect Langerhans cells/dendritic cells. For the immune system of young children 'learning' to mount a balanced Th1/Th2 response, this selective effect has particular benefits. In clinical experience, topical calcineurin inhibitors have been shown to be a safe and effective alternative to topical corticosteroids in almost 7 million patients (>5 million on pimecrolimus; >1.7 million on tacrolimus). Topical pimecrolimus is primarily used in children with mild and moderate AD, whereas tacrolimus is used preferentially in more severe cases. None of the topical calcineurin inhibitors have been associated with systemic immunosuppression-related malignancies known to occur following long-term sustained systemic immunosuppression with oral immunosuppressants (e.g., tacrolimus, cyclosporine A, and corticosteroids) in transplant patients. Preclinical and clinical data suggest a greater skin selectivity and larger safety margin for topical pimecrolimus. (c) 2005 S. Karger AG, Basel

  15. Australasian emergency physicians: a learning and educational needs analysis. Part Four: CPD topics desired by emergency physicians.

    Science.gov (United States)

    Dent, Andrew W; Weiland, Tracey J; Paltridge, Debbie

    2008-06-01

    To report the preferences of Fellows of the Australasian College for Emergency Medicine for topics they would desire for their continuing professional development (CPD). A mailed survey of Fellows of the Australasian College for Emergency Medicine asked for Likert type responses on the desirability of CPD on 15 procedural skills, 13 management skills, 11 clinical emergency topics, 9 topics related to teaching, 7 related to diagnostics and 5 evidence based practice topics. CPD in procedural skills of advanced and surgical airways, ED ultrasound, ventilation, skills, plastic procedures and regional anaesthesia were nominated as desirable by 85% of emergency physicians (EP). More than 90% desired CPD in ophthalmological, otorhinolaryngeal, neonatal and paediatric emergencies. Of diagnostic skills, more than 80% considered CPD on computerized tomography, electrocardiography and plain X-ray interpretation as desirable, well as CPD about teaching in general, simulation and preparing candidates for fellowship exams. Of the 12 management skills, 11 were seen as desirable topics by more than 70%, with counter disaster planning, giving feedback and dealing with complaints the most popular. All evidence based practice related skills, including interpreting statistics and undertaking literature searches were seen as desirable topics by more than 80% of EP. This information may assist in the planning of future educational interventions for emergency physicians. EP seek CPD on management, educational and other non clinical skills, as well as topics relating directly to patient care.

  16. Development of active learning modules in pharmacology for small group teaching.

    Science.gov (United States)

    Tripathi, Raakhi K; Sarkate, Pankaj V; Jalgaonkar, Sharmila V; Rege, Nirmala N

    2015-01-01

    Current teaching in pharmacology in undergraduate medical curriculum in India is primarily drug centered and stresses imparting factual knowledge rather than on pharmacotherapeutic skills. These skills would be better developed through active learning by the students. Hence modules that will encourage active learning were developed and compared with traditional methods within the Seth GS Medical College, Mumbai. After Institutional Review Board approval, 90 second year undergraduate medical students who consented were randomized into six sub-groups, each with 15 students. Pre-test was administered. The three sub-groups were taught a topic using active learning modules (active learning groups), which included problems on case scenarios, critical appraisal of prescriptions and drug identification. The remaining three sub-groups were taught the same topic in a conventional tutorial mode (tutorial learning groups). There was crossover for the second topic. Performance was assessed using post-test. Questionnaires with Likert-scaled items were used to assess feedback on teaching technique, student interaction and group dynamics. The active and tutorial learning groups differed significantly in their post-test scores (11.3 ± 1.9 and 15.9 ± 2.7, respectively, P active learning session as interactive (vs. 37/90 students in tutorial group) and enhanced their understanding vs. 56/90 in tutorial group), aroused intellectual curiosity (47/90 students of active learning group vs. 30/90 in tutorial group) and provoked self-learning (41/90 active learning group vs. 14/90 in tutorial group). Sixty-four students in the active learning group felt that questioning each other helped in understanding the topic, which was the experience of 25/90 students in tutorial group. Nevertheless, students (55/90) preferred tutorial mode of learning to help them score better in their examinations. In this study, students preferred an active learning environment, though to pass examinations, they

  17. A Framework for Narration and Learning in Educational Multimedia

    DEFF Research Database (Denmark)

    Mosegaard, Jesper; Bennedsen, Jens

    2003-01-01

    In this article we describe a multimedia adventure game framework for a learning environment to support the teaching and learning of introductory programming. In the framework we have conceptualized two important aspects of such an environment: narration and learning topics. We describe...... the interplay between these aspects and how the framework utilizes this to adapt the learning process to the individual student. The motivation for the separation is to help the teacher balance the two main driving forces of an edutainment product: entertainment and learning. It is the responsibility...... of the teacher to define the range of stories and topics using the framework. The framework provides a complete learning environment where the teacher merely needs to define the content....

  18. 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

  19. Knowledge Visualization for Self-Regulated Learning

    Science.gov (United States)

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

    2011-01-01

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

  20. How do Artists Learn and What Can Educators Learn from Them?

    DEFF Research Database (Denmark)

    Chemi, Tatiana; Jensen, Julie Borup

    2014-01-01

    Among scholars and practitioners interested in creative learning, many assumptions and even stereotypes are nurtured about artists’ creativity. The myth of the lone genius, for example, is neither close to artistic practices nor beneficial to education. We address the topic of artistic creativity......, looking at its relevance to educational settings. Through asking the question: how do artists create, learn and how can education learn from them, we have investigated and described professional artists’ creative and learning processes. In this article, we present findings from a qualitative research...

  1. Comparing problem-based learning students to students in a lecture-based curriculum: learning strategies and the relation with self-study time

    NARCIS (Netherlands)

    M. Wijnen (Marit); S.M.M. Loyens (Sofie); G. Smeets (Guus); M.J. Kroeze (Maarten); H.T. van der Molen (Henk)

    2017-01-01

    textabstractIn educational theory, deep processing (i.e., connecting different study topics together) and self-regulation (i.e., taking control over one’s own learning process) are considered effective learning strategies. These learning strategies can be influenced by the learning environment.

  2. Machine Learning: developing an image recognition program : with Python, Scikit Learn and OpenCV

    OpenAIRE

    Nguyen, Minh

    2016-01-01

    Machine Learning is one of the most debated topic in computer world these days, especially after the first Computer Go program has beaten human Go world champion. Among endless application of Machine Learning, image recognition, which problem is processing enormous amount of data from dynamic input. This thesis will present the basic concept of Machine Learning, Machine Learning algorithms, Python programming language and Scikit Learn – a simple and efficient tool for data analysis in P...

  3. Comparing Problem-Based Learning Students to Students in a Lecture-Based Curriculum: Learning Strategies and the Relation with Self-Study Time

    Science.gov (United States)

    Wijnen, Marit; Loyens, Sofie M. M.; Smeets, Guus; Kroeze, Maarten; van der Molen, Henk

    2017-01-01

    In educational theory, deep processing (i.e., connecting different study topics together) and self-regulation (i.e., taking control over one's own learning process) are considered effective learning strategies. These learning strategies can be influenced by the learning environment. Problem-based learning (PBL), a student-centered educational…

  4. Discovery Learning: Zombie, Phoenix, or Elephant?

    Science.gov (United States)

    Bakker, Arthur

    2018-01-01

    Discovery learning continues to be a topic of heated debate. It has been called a zombie, and this special issue raises the question whether it may be a phoenix arising from the ashes to which the topic was burnt. However, in this commentary I propose it is more like an elephant--a huge topic approached by many people who address different…

  5. 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…

  6. Comparison of Clustering Algorithms for the Identification of Topics on Twitter

    Directory of Open Access Journals (Sweden)

    Marjori N. M. Klinczak

    2016-05-01

    Full Text Available Topic Identification in Social Networks has become an important task when dealing with event detection, particularly when global communities are affected. In order to attack this problem, text processing techniques and machine learning algorithms have been extensively used. In this paper we compare four clustering algorithms – k-means, k-medoids, DBSCAN and NMF (Non-negative Matrix Factorization – in order to detect topics related to textual messages obtained from Twitter. The algorithms were applied to a database initially composed by tweets having hashtags related to the recent Nepal earthquake as initial context. Obtained results suggest that the NMF clustering algorithm presents superior results, providing simpler clusters that are also easier to interpret.

  7. Topics from Australian Conferences on Teaching Statistics

    CERN Document Server

    Phillips, Brian; Martin, Michael

    2014-01-01

    The first OZCOTS conference in 1998 was inspired by papers contributed by Australians to the 5th International Conference on Teaching Statistics. In 2008, as part of the program of one of the first National Senior Teaching Fellowships, the 6th OZCOTS was held in conjunction with the Australian Statistical Conference, with Fellowship keynotes and contributed papers, optional refereeing and proceedings. This venture was so successful that the 7th and 8th OZCOTS were similarly run, conjoined with Australian Statistical Conferences in 2010 and 2012. Authors of papers from these OZCOTS conferences were invited to develop chapters for refereeing and inclusion in this volume. There are sections on keynote topics, undergraduate curriculum and learning, professional development, postgraduate learning, and papers from OZCOTS 2012. Because OZCOTS aim to unite statisticians and statistics educators, the approaches this volume takes are immediately relevant to all who have a vested interest in good teaching practices. Glo...

  8. Developing physics learning media using 3D cartoon

    Science.gov (United States)

    Wati, M.; Hartini, S.; Hikmah, N.; Mahtari, S.

    2018-03-01

    This study focuses on developing physics learning media using 3D cartoon on the static fluid topic. The purpose of this study is to describe: (1) the validity of the learning media, (2) the practicality of the learning media, and (3) the effectiveness of the learning media. This study is a research and development using ADDIE model. The subject of the implementation of media used class XI Science of SMAN 1 Pulau Laut Timur. The data were obtained from the validation sheet of the learning media, questionnaire, and the test of learning outcomes. The results showed that: (1) the validity of the media category is valid, (2) the practicality of the media category is practice, and (3) the effectiveness of the media category is effective. It is concluded that the learning using 3D cartoon on the static fluid topic is eligible to use in learning.

  9. Flipped Learning in the Workplace

    Science.gov (United States)

    Nederveld, Allison; Berge, Zane L.

    2015-01-01

    Purpose: The purpose of this paper is to serve as a summary of resources on flipped learning for workplace learning professionals. A recent buzzword in the training world is "flipped". Flipped learning and the flipped classroom are hot topics that have emerged in K-12 education, made their way to the university and are now being noticed…

  10. Content-Based Instruction Approach In Instructional Multimedia For English Learning

    OpenAIRE

    Farani, Rizki

    2016-01-01

    Content-based Instruction (CBI) is an approach in English learning that integrates certain topic and English learning objectives. This approach focuses on using English competencies as a “bridge” to comprehend certain topic or theme in English. Nowadays, this approach can be used in instructional multimedia to support English learning by using computer. Instructional multimedia with computer system refers to the sequential or simultaneous use of variety of media formats in a given presentatio...

  11. Freshman Health Topics

    Science.gov (United States)

    Hovde, Karen

    2011-01-01

    This article examines a cluster of health topics that are frequently selected by students in lower division classes. Topics address issues relating to addictive substances, including alcohol and tobacco, eating disorders, obesity, and dieting. Analysis of the topics examines their interrelationships and organization in the reference literature.…

  12. Evaluation of eLearning for the teaching of undergraduate ophthalmology at medical school: a randomised controlled crossover study.

    Science.gov (United States)

    Petrarca, Caroline A; Warner, Julia; Simpson, Andrew; Petrarca, Robert; Douiri, Abdel; Byrne, David; Jackson, Timothy L

    2018-05-25

    To compare ophthalmology teaching delivered by eLearning with traditional lectures, in terms of undergraduate performance and satisfaction. Randomised controlled crossover study at King's College London Medical School with 245 third year medical students. The ophthalmology syllabus was divided into ten topics. Five topics were randomised to be taught by traditional lectures and five by electronic learning (eLearning). For the second rotation of students the topics were crossed over, so that those topics taught by traditional lectures were taught by eLearning and vice versa. At the end of each rotation the students sat an optional online mock examination containing 100 questions (ten on each topic). Students' examination performance was compared between the two teaching methods. Student satisfaction was assessed using an online satisfaction survey. Outcome measures were the mean percentage of correct answers across all ten topics, student satisfaction and self-assessed knowledge. The mean examination score for questions taught by eLearning was 58% (95% CI, 55.7-59.6), versus 55% (95% CI 53.1-56.8) for traditional lectures (P = 0.047). Across all topics students were more satisfied with eLearning than traditional lectures, with 87% (95% CI 84.5-88.4) rating eLearning as 'excellent' or 'good' versus 65% (95% CI 62.0-67.4) for lectures (p eLearning compared to traditional lectures, with 166 (69.7%) rating eLearning 'much better' or 'better,' 61 (25.6%) 'neutral' and 11 (4.6%) 'worse' or 'much worse.' Student satisfaction and examination performance are both enhanced by ophthalmology eLearning. Similar eLearning modules may be suitable for other specialties and postgraduate learning.

  13. Learning from WebQuests

    Science.gov (United States)

    Gaskill, Martonia; McNulty, Anastasia; Brooks, David W.

    2006-01-01

    WebQuests are activities in which students use Web resources to learn about school topics. WebQuests are advocated as constructivist activities and ones generally well regarded by students. Two experiments were conducted in school settings to compare learning using WebQuests versus conventional instruction. Students and teachers both enjoyed…

  14. Expertise finding in bibliographic network: topic dominance learning approach.

    Science.gov (United States)

    Neshati, Mahmood; Hashemi, Seyyed Hadi; Beigy, Hamid

    2014-12-01

    Expert finding problem in bibliographic networks has received increased interest in recent years. This problem concerns finding relevant researchers for a given topic. Motivated by the observation that rarely do all coauthors contribute to a paper equally, in this paper, we propose two discriminative methods for realizing leading authors contributing in a scientific publication. Specifically, we cast the problem of expert finding in a bibliographic network to find leading experts in a research group, which is easier to solve. We recognize three feature groups that can discriminate relevant experts from other authors of a document. Experimental results on a real dataset, and a synthetic one that is gathered from a Microsoft academic search engine, show that the proposed model significantly improves the performance of expert finding in terms of all common information retrieval evaluation metrics.

  15. Does topical isotretinoin exposure during pregnancy increase the risk of congenital malformations?

    Directory of Open Access Journals (Sweden)

    İsmail Yılmaz

    2015-06-01

    Full Text Available A 34-year-old patient learned that she was 7 weeks pregnant while she was using topical isotretinoin + erythromycin gel for acne treatment and referred to Izmir Katip Celebi University Teratology Information Service for information regarding the risk of teratogenicity. Systemic use of isotretinoin is well-known for its teratogenic effects and case reports suggesting possible teratogenic effects regarding topical exposure to retinoids in pregnancy exist in the literature. However, findings reported in four prospective controlled studies do not suggest an increased congenital malformation risk in case of inadvertent exposure during pregnancy. This manuscript aims to give a summary and evaluation of available data for counseling pregnant patients regarding the possible teratogenic risk of inadvertent topical isotretinoin exposure during pregnancy. It also aims to emphasize the importance of increasing communication between pregnant patients, clinicians and teratology information services for the benefit of mother and unborn.

  16. Evaluating topic models with stability

    CSIR Research Space (South Africa)

    De Waal, A

    2008-11-01

    Full Text Available Topic models are unsupervised techniques that extract likely topics from text corpora, by creating probabilistic word-topic and topic-document associations. Evaluation of topic models is a challenge because (a) topic models are often employed...

  17. Topical report review status

    International Nuclear Information System (INIS)

    1997-08-01

    This report provides industry with procedures for submitting topical reports, guidance on how the U.S. Nuclear Regulatory Commission (NRC) processes and responds to topical report submittals, and an accounting, with review schedules, of all topical reports currently accepted for review schedules, of all topical reports currently accepted for review by the NRC. This report will be published annually. Each sponsoring organization with one or more topical reports accepted for review copies

  18. Learning analytics fundaments, applications, and trends : a view of the current state of the art to enhance e-learning

    CERN Document Server

    2017-01-01

    This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.

  19. Workplace learning: panacea or challenge? : Epilogue of a special issue on boundaries of workplace learning

    NARCIS (Netherlands)

    Dr. J. Onstenk

    2012-01-01

    This article reflects on the previous articles in this special issue by discussing some common themes and raising some proposals for future research on the topic of workplace learning and its boundaries. The article subsequently discusses objects and results of workplace learning, the issue of

  20. 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…

  1. Dynamic Learning Objects to Teach Java Programming Language

    Science.gov (United States)

    Narasimhamurthy, Uma; Al Shawkani, Khuloud

    2010-01-01

    This article describes a model for teaching Java Programming Language through Dynamic Learning Objects. The design of the learning objects was based on effective learning design principles to help students learn the complex topic of Java Programming. Visualization was also used to facilitate the learning of the concepts. (Contains 1 figure and 2…

  2. Visual Learning in Application of Integration

    Science.gov (United States)

    Bt Shafie, Afza; Barnachea Janier, Josefina; Bt Wan Ahmad, Wan Fatimah

    Innovative use of technology can improve the way how Mathematics should be taught. It can enhance student's learning the concepts through visualization. Visualization in Mathematics refers to us of texts, pictures, graphs and animations to hold the attention of the learners in order to learn the concepts. This paper describes the use of a developed multimedia courseware as an effective tool for visual learning mathematics. The focus is on the application of integration which is a topic in Engineering Mathematics 2. The course is offered to the foundation students in the Universiti Teknologi of PETRONAS. Questionnaire has been distributed to get a feedback on the visual representation and students' attitudes towards using visual representation as a learning tool. The questionnaire consists of 3 sections: Courseware Design (Part A), courseware usability (Part B) and attitudes towards using the courseware (Part C). The results showed that students demonstrated the use of visual representation has benefited them in learning the topic.

  3. Syntacticized topics in Kurmuk

    DEFF Research Database (Denmark)

    Andersen, Torben

    2015-01-01

    This article argues that Kurmuk, a little-described Western Nilotic language, is characterized by a syntacticized topic whose grammatical relation is variable. In this language, declarative clauses have as topic an obligatory preverbal NP which is either a subject, an object or an adjunct....... The grammatical relation of the topic is expressed by a voice-like inflection of the verb, here called orientation. While subject-orientation is morphologically unmarked, object-oriented and adjunct-oriented verbs are marked by a subject suffix or by a suffix indicating that the topic is not subject, and adjunct......-orientation differs from object-orientation by a marked tone pattern. Topic choice largely reflects information structure by indicating topic continuity. The topic also plays a crucial role in relative clauses and in clauses with contrastive constituent focus, in that objects and adjuncts can only be relativized...

  4. State-of-the-art Analysis on the Knowledge and Skills Gaps on the Topic of Industry 4.0 and the Requirements for Work-based Learning in Romania

    Directory of Open Access Journals (Sweden)

    Liviu MOLDOVAN

    2018-06-01

    Full Text Available This paper reports the state-of-the-art analysis on the knowledge and skills gaps on the topic of Industry 4.0 and the requirements for work-based learning (WBL consists of the results from a large-scale survey conducted among two target groups: manufacturing small and mediumsized enterprises (SMEs and vocational education and training (VET providers/trainers/consultants in Romania and cross-sectional analysis of the viewpoints of manufacturing SMEs representatives vs. VET providers. It is part of the Erasmus+ project “Work-based training approach in the field of Industry 4.0 for competitive European Industry”- iNduce 4.0. Based on the results from the researches carried out in Romania are defined the key points concerning the elaboration of the iNduce 4.0 training course and the iNduce 4.0 Practical methodology for WBL. It foresees the awareness of the Industry 4.0 topic, the training modules developed, the needed skills and the proportion of theory and practice.

  5. E-Learning Systems, Environments and Approaches

    OpenAIRE

    Isaias, P.; Spector, J.M.; Ifenthaler, D.; Sampson, D.G.

    2015-01-01

    The volume consists of twenty-five chapters selected from among peer-reviewed papers presented at the CELDA (Cognition and Exploratory Learning in the Digital Age) 2013 Conference held in Fort Worth, Texas, USA, in October 2013 and also from world class scholars in e-learning systems, environments and approaches. The following sub-topics are included: Exploratory Learning Technologies (Part I), e-Learning social web design (Part II), Learner communities through e-Learning implementations (Par...

  6. Active Learning Environment with Lenses in Geometric Optics

    Science.gov (United States)

    Tural, Güner

    2015-01-01

    Geometric optics is one of the difficult topics for students within physics discipline. Students learn better via student-centered active learning environments than the teacher-centered learning environments. So this study aimed to present a guide for middle school teachers to teach lenses in geometric optics via active learning environment…

  7. A New Mobile Learning Adaptation Model

    OpenAIRE

    Mohamd Hassan Hassan; Jehad Al-Sadi

    2009-01-01

    This paper introduces a new model for m- Learning context adaptation due to the need of utilizing mobile technology in education. Mobile learning; m-Learning for short; in considered to be one of the hottest topics in the educational community, many researches had been done to conceptualize this new form of learning. We are presenting a promising design for a model to adapt the learning content in mobile learning applications in order to match the learner context, preferences and the educatio...

  8. [Public Health as an Applied, Multidisciplinary Subject: Is Research-Based Learning the Answer to Challenges in Learning and Teaching?

    Science.gov (United States)

    Gerhardus, A; Schilling, I; Voss, M

    2017-03-01

    Public health education aims at enabling students to deal with complex health-related challenges using appropriate methods based on sound theoretical understanding. Virtually all health-related problems in science and practice require the involvement of different disciplines. However, the necessary interdisciplinarity is only partly reflected in the curricula of public health courses. Also theories, methods, health topics, and their application are often taught side-by-side and not together. For students, it can become an insurmountable challenge to integrate the different disciplines ("horizontal integration") and theories, methods, health topics, and their application ("vertical integration"). This situation is specific for education in public health but is representative for other interdisciplinary fields as well. Several approaches are available to achieve the horizontal integration of different disciplines and vertical integration of theories, methods, health topics, and their application. A curriculum that is structured by topics, rather than disciplines might be more successful in integrating different disciplines. Vertical integration can be achieved by research-based learning. Research-based learning places a student-led research project at the centre of teaching. Students choose a topic and a research question, raise their own questions for theories and methods and will hopefully cross the seeming chasm between science and practice. Challenges of research-based learning are enhanced demands on students, teachers and curriculum design. © Georg Thieme Verlag KG Stuttgart · New York.

  9. Supervised Learning for Visual Pattern Classification

    Science.gov (United States)

    Zheng, Nanning; Xue, Jianru

    This chapter presents an overview of the topics and major ideas of supervised learning for visual pattern classification. Two prevalent algorithms, i.e., the support vector machine (SVM) and the boosting algorithm, are briefly introduced. SVMs and boosting algorithms are two hot topics of recent research in supervised learning. SVMs improve the generalization of the learning machine by implementing the rule of structural risk minimization (SRM). It exhibits good generalization even when little training data are available for machine training. The boosting algorithm can boost a weak classifier to a strong classifier by means of the so-called classifier combination. This algorithm provides a general way for producing a classifier with high generalization capability from a great number of weak classifiers.

  10. Using a collaborative Mobile Augmented Reality learning application (CoMARLA) to improve Improve Student Learning

    Science.gov (United States)

    Hanafi, Hafizul Fahri bin; Soh Said, Che; Hanee Ariffin, Asma; Azlan Zainuddin, Nur; Samsuddin, Khairulanuar

    2016-11-01

    This study was carried out to improve student learning in ICT course using a collaborative mobile augmented reality learning application (CoMARLA). This learning application was developed based on the constructivist framework that would engender collaborative learning environment, in which students could learn collaboratively using their mobile phones. The research design was based on the pretest posttest control group design. The dependent variable was students’ learning performance after learning, and the independent variables were learning method and gender. Students’ learning performance before learning was treated as the covariate. The sample of the study comprised 120 non-IT (non-technical) undergraduates, with the mean age of 19.5. They were randomized into two groups, namely the experimental and control group. The experimental group used CoMARLA to learn one of the topics of the ICT Literacy course, namely Computer System; whereas the control group learned using the conventional approach. The research instrument used was a set of multiple-choice questions pertaining to the above topic. Pretesting was carried out before the learning sessions, and posttesting was performed after 6 hours of learning. Using the SPSS, Analysis of Covariance (ANCOVA) was performed on the data. The analysis showed that there were main effects attributed to the learning method and gender. The experimental group outperformed the control group by almost 9%, and male students outstripped their opposite counterparts by as much as 3%. Furthermore, an interaction effect was also observed showing differential performances of male students based on the learning methods, which did not occur among female students. Hence, the tool can be used to help undergraduates learn with greater efficacy when contextualized in an appropriate setting.

  11. Topical Drugs for Pain Relief

    Directory of Open Access Journals (Sweden)

    Anjali Srinivasan

    2015-03-01

    Full Text Available Topical therapy helps patients with oral and perioral pain problems such as ulcers, burning mouth syndrome, temporomandibular disorders, neuromas, neuropathies and neuralgias. Topical drugs used in the field of dentistry are topical anaesthetics, topical analgesics, topical antibiotics and topical corticosteroids. It provides symptomatic/curative effect. Topical drugs are easy to apply, avoids hepatic first pass metabolism and more sites specific. But it can only be used for medications that require low plasma concentrations to achieve a therapeutic effect.

  12. Edutourism Taka Bonerate National Park through Scientific Approach to Improve Student Learning Outcomes

    Science.gov (United States)

    Hayati, R. S.

    2017-02-01

    This research aim is develop the potential of Taka Bonerate National Park as learning resources through edutourism with scientific approach to improve student learning outcomes. Focus of student learning outcomes are students psychomotor abilities and comprehension on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics. The edutourism development products are teacher manual, edutourism worksheet, material booklet, guide’s manual, and Taka Bonerate National Park governor manual. The method to develop edutourism products is ADDIE research and development model that consist of analysis, design, development and production, implementation, and evaluation step. The subjects in the implementation step were given a pretest and posttest and observation sheet to see the effect of edutourism Taka Bonerate National Park through scientific approach to student learning outcomes on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics. The data were analyzed qualitative descriptively. The research result is edutourism Taka Bonerate National Park through scientific approach can improve students learning outcomes on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics. Edutourism Taka Bonerate National Park can be an alternative of learning method on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics.

  13. 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...

  14. Topic modeling for cluster analysis of large biological and medical datasets.

    Science.gov (United States)

    Zhao, Weizhong; Zou, Wen; Chen, James J

    2014-01-01

    The big data moniker is nowhere better deserved than to describe the ever-increasing prodigiousness and complexity of biological and medical datasets. New methods are needed to generate and test hypotheses, foster biological interpretation, and build validated predictors. Although multivariate techniques such as cluster analysis may allow researchers to identify groups, or clusters, of related variables, the accuracies and effectiveness of traditional clustering methods diminish for large and hyper dimensional datasets. Topic modeling is an active research field in machine learning and has been mainly used as an analytical tool to structure large textual corpora for data mining. Its ability to reduce high dimensionality to a small number of latent variables makes it suitable as a means for clustering or overcoming clustering difficulties in large biological and medical datasets. In this study, three topic model-derived clustering methods, highest probable topic assignment, feature selection and feature extraction, are proposed and tested on the cluster analysis of three large datasets: Salmonella pulsed-field gel electrophoresis (PFGE) dataset, lung cancer dataset, and breast cancer dataset, which represent various types of large biological or medical datasets. All three various methods are shown to improve the efficacy/effectiveness of clustering results on the three datasets in comparison to traditional methods. A preferable cluster analysis method emerged for each of the three datasets on the basis of replicating known biological truths. Topic modeling could be advantageously applied to the large datasets of biological or medical research. The three proposed topic model-derived clustering methods, highest probable topic assignment, feature selection and feature extraction, yield clustering improvements for the three different data types. Clusters more efficaciously represent truthful groupings and subgroupings in the data than traditional methods, suggesting

  15. Learning by Teaching: Implementation of a Multimedia Project in Astro 101

    Science.gov (United States)

    Perrodin, D.; Lommen, A.

    2011-09-01

    Astro 101 students have deep-seated pre-conceptions regarding such topics as the cause of moon phases or the seasons. Beyond exploring the topics in a learner-centered fashion, the "learning by teaching" philosophy enables students to truly master concepts. In order to make students teach the cause of moon phases, we created a multimedia project where groups of students taught other students and filmed the session. They were to produce a 10-minute final movie highlighting their teaching techniques and showing students in the process of learning the concepts. This "experiment" turned out to be a great success for a few reasons. First, students gained experience explaining conceptually-challenging topics, making them learn the material better. Additionally, they learned to apply learner-centered techniques, most likely learning to teach for the first time. Finally, this project provided the students a connection between the classroom and the rest of the college, making them responsible for applying and sharing their knowledge with their peers.

  16. Towards the Sigma Online Learning Model for crowdsourced recommendations of good web-based learning resources

    OpenAIRE

    Aaberg, Robin Garen

    2016-01-01

    The web based learning resources is believed to be playing an active role in the learning environment of higher education today. This qualitative study is exploring how students at Bergen University College incorporate web-based learning resources in their learning activities. At the core of this research is the problem of retrieving good web-resources after their first discovery. Usefull and knowledge granting web-resources are discovered within a context of topics, objectives. It is here ar...

  17. Editorial: Advanced learning technologies

    Directory of Open Access Journals (Sweden)

    Yu-Ju Lan

    2012-03-01

    Full Text Available Recent rapid development of advanced information technology brings high expectations of its potential to improvement and innovations in learning. This special issue is devoted to using some of the emerging technologies issues related to the topic of education and knowledge sharing, involving several cutting edge research outcomes from recent advancement of learning technologies. Advanced learning technologies are the composition of various related technologies and concepts such as mobile technologies and social media towards learner centered learning. This editorial note provides an overview of relevant issues discussed in this special issue.

  18. Learning from WebQuests

    Science.gov (United States)

    Gaskill, Martonia; McNulty, Anastasia; Brooks, David W.

    2006-04-01

    WebQuests are activities in which students use Web resources to learn about school topics. WebQuests are advocated as constructivist activities and ones generally well regarded by students. Two experiments were conducted in school settings to compare learning using WebQuests versus conventional instruction. Students and teachers both enjoyed WebQuest instruction and spoke highly of it. In one experiment, however, conventional instruction led to significantly greater student learning. In the other, there were no significant differences in the learning outcomes between conventional versus WebQuest-based instruction.

  19. Impact on learning of an e-learning module on leukaemia: a randomised controlled trial.

    Science.gov (United States)

    Morgulis, Yuri; Kumar, Rakesh K; Lindeman, Robert; Velan, Gary M

    2012-05-28

    e-learning resources may be beneficial for complex or conceptually difficult topics. Leukaemia is one such topic, yet there are no reports on the efficacy of e-learning for leukaemia. This study compared the learning impact on senior medical students of a purpose-built e-learning module on leukaemia, compared with existing online resources. A randomised controlled trial was performed utilising volunteer senior medical students. Participants were randomly allocated to Study and Control groups. Following a pre-test on leukaemia administered to both groups, the Study group was provided with access to the new e-learning module, while the Control group was directed to existing online resources. A post-test and an evaluation questionnaire were administered to both groups at the end of the trial period. Study and Control groups were equivalent in gender distribution, mean academic ability, pre-test performance and time studying leukaemia during the trial. The Study group performed significantly better than the Control group in the post-test, in which the group to which the students had been allocated was the only significant predictor of performance. The Study group's evaluation of the module was overwhelmingly positive. A targeted e-learning module on leukaemia had a significant effect on learning in this cohort, compared with existing online resources. We believe that the interactivity, dialogic feedback and integration with the curriculum offered by the e-learning module contributed to its impact. This has implications for e-learning design in medicine and other disciplines.

  20. Implementation of Active Teaching Methods and Emerging Topics in Photogrammetry and Remote Sensing Subjects

    Science.gov (United States)

    Kosmatin Fras, M.; Grigillo, D.

    2016-06-01

    Fast technological developments in photogrammetry and remote sensing areas demand quick and steady changes in the education programme and its realization. The university teachers and assistants are faced with ensuring the learning materials, data and software for practical lessons, as well as project proposals for student's team work and bachelor or master thesis. In this paper the emerging topics that already have a considerable impact in the practice are treated mostly from the educational aspect. These relatively new topics that are considered in this paper are unmanned aerial systems for spatial data collection, terrestrial and aerial laser scanning, mobile mapping systems, and novelties in satellite remote sensing. The focus is given to practical implementation of these topics into the teaching and learning programme of Geodesy and Geoinformation at the University of Ljubljana, Faculty of Civil and Geodetic Engineering, and experiences gained by the authors so far. Together with the technological advances, the teaching approaches must be modernized as well. Classical approaches of teaching, where a lecturer gives lecture ex cathedra and students are only listeners, are not effective enough. The didactics science of teaching has developed and proved in the practice many useful approaches that can better motivate students for more active learning. We can use different methods of team work like pro et contra debate, buzzing groups, press conference, moderated discussion etc. An experimental study on active teaching methods in the class of students of the Master programme of Geodesy and Geoinformation has been made and the results are presented. After using some new teaching methods in the class, the students were asked to answer two types of a questionnaire. First questionnaire was the standard form developed by Noel Entwistle, an educational psychologist who developed the Approaches to Studying Inventory (ASI) for identifying deep and surface approaches to

  1. IMPLEMENTATION OF ACTIVE TEACHING METHODS AND EMERGING TOPICS IN PHOTOGRAMMETRY AND REMOTE SENSING SUBJECTS

    Directory of Open Access Journals (Sweden)

    M. Kosmatin Fras

    2016-06-01

    Full Text Available Fast technological developments in photogrammetry and remote sensing areas demand quick and steady changes in the education programme and its realization. The university teachers and assistants are faced with ensuring the learning materials, data and software for practical lessons, as well as project proposals for student’s team work and bachelor or master thesis. In this paper the emerging topics that already have a considerable impact in the practice are treated mostly from the educational aspect. These relatively new topics that are considered in this paper are unmanned aerial systems for spatial data collection, terrestrial and aerial laser scanning, mobile mapping systems, and novelties in satellite remote sensing. The focus is given to practical implementation of these topics into the teaching and learning programme of Geodesy and Geoinformation at the University of Ljubljana, Faculty of Civil and Geodetic Engineering, and experiences gained by the authors so far. Together with the technological advances, the teaching approaches must be modernized as well. Classical approaches of teaching, where a lecturer gives lecture ex cathedra and students are only listeners, are not effective enough. The didactics science of teaching has developed and proved in the practice many useful approaches that can better motivate students for more active learning. We can use different methods of team work like pro et contra debate, buzzing groups, press conference, moderated discussion etc. An experimental study on active teaching methods in the class of students of the Master programme of Geodesy and Geoinformation has been made and the results are presented. After using some new teaching methods in the class, the students were asked to answer two types of a questionnaire. First questionnaire was the standard form developed by Noel Entwistle, an educational psychologist who developed the Approaches to Studying Inventory (ASI for identifying deep and

  2. Investigating the Use of Text Messages in Mobile Learning

    Science.gov (United States)

    Geng, Gretchen

    2013-01-01

    Nowadays, teaching and learning have been shifted from traditional classrooms to technology-supported learning environment. By offering a convenient, efficient and financially affordable information technology learning environment, mobile learning is a topic that is of considerable interest for education audiences owing to the pervasive nature of…

  3. Latent topic discovery of clinical concepts from hospital discharge summaries of a heterogeneous patient cohort.

    Science.gov (United States)

    Lehman, Li-Wei; Long, William; Saeed, Mohammed; Mark, Roger

    2014-01-01

    Patients in critical care often exhibit complex disease patterns. A fundamental challenge in clinical research is to identify clinical features that may be characteristic of adverse patient outcomes. In this work, we propose a data-driven approach for phenotype discovery of patients in critical care. We used Hierarchical Dirichlet Process (HDP) as a non-parametric topic modeling technique to automatically discover the latent "topic" structure of diseases, symptoms, and findings documented in hospital discharge summaries. We show that the latent topic structure can be used to reveal phenotypic patterns of diseases and symptoms shared across subgroups of a patient cohort, and may contain prognostic value in stratifying patients' post hospital discharge mortality risks. Using discharge summaries of a large patient cohort from the MIMIC II database, we evaluate the clinical utility of the discovered topic structure in identifying patients who are at high risk of mortality within one year post hospital discharge. We demonstrate that the learned topic structure has statistically significant associations with mortality post hospital discharge, and may provide valuable insights in defining new feature sets for predicting patient outcomes.

  4. Cognitive Models for Learning to Control Dynamic Systems

    National Research Council Canada - National Science Library

    Eberhart, Russ; Hu, Xiaohui; Chen, Yaobin

    2008-01-01

    Report developed under STTR contract for topic "Cognitive models for learning to control dynamic systems" demonstrated a swarm intelligence learning algorithm and its application in unmanned aerial vehicle (UAV) mission planning...

  5. The idea of culture and its topicality for teaching-learning LE/L2

    Directory of Open Access Journals (Sweden)

    Edleise Mendes

    2015-09-01

    Full Text Available In recent decades, many studies and research developed in the field of teaching / learning languages, especially of foreign and second languages, have been dedicated to discuss the importance of culture and intercultural relations as members of the learning process dimensions. This concern has as principle the fact that teaching and learning a language is a much broader and complex than the simple transmission and apprehension of formal structures and rules of use of these structures process. In this article, I propose to revisit the idea of culture to then establish their relationship with language, emphasizing the relevance of this type of reflection for the teaching-learning area LE / L2, especially focusing in Portuguese . Among other things, I want to show that contemporary trends in teaching and language teacher training recognize that approaches to teaching and learning, whatever their theoretical orientations should not isolate the language of life in which we live and culture or cultures as a means to ensure language education quality and consistent with the requirements of the contemporary world.

  6. Topical report review status

    International Nuclear Information System (INIS)

    1982-08-01

    A Topical Report Review Status is scheduled to be published semi-annually. The primary purpose of this document is to provide periodic progress reports of on-going topical report reviews, to identify those topical reports for which the Nuclear Regulatory Commission (NRC) staff review has been completed and, to the extent practicable, to provide NRC management with sufficient information regarding the conduct of the topical report program to permit taking whatever actions deemed necessary or appropriate. This document is also intended to be a source of information to NRC Licensing Project Managers and other NRC personnel regarding the status of topical reports which may be referenced in applications for which they have responsibility. This status report is published primarily for internal NRC use in managing the topical report program, but is also used by NRC to advise the industry of report review status

  7. Topical report review status

    International Nuclear Information System (INIS)

    1983-01-01

    A Topical Report Review Status is scheduled to be published semi-annually. The primary purpose of this document is to provide periodic progress reports of on-going topical report reviews, to identify those topical reports for which the Nuclear Regulatory Commission (NRC) staff review has been completed and, to the extent practicable, to provide NRC management with sufficient information regarding the conduct of the topical report program to permit taking whatever actions deemed necessary or appropriate. This document is also intended to be a source of information to NRC Licensing Project Managers and other NRC personnel regarding the status of topical reports which may be referenced in applications for which they have responsibility. This status report is published primarily for internal NRC use in managing the topical report program, but is also used by NRC to advise the industry of report review status

  8. ATGC database and ATGC-COGs: an updated resource for micro- and macro-evolutionary studies of prokaryotic genomes and protein family annotation.

    Science.gov (United States)

    Kristensen, David M; Wolf, Yuri I; Koonin, Eugene V

    2017-01-04

    The Alignable Tight Genomic Clusters (ATGCs) database is a collection of closely related bacterial and archaeal genomes that provides several tools to aid research into evolutionary processes in the microbial world. Each ATGC is a taxonomy-independent cluster of 2 or more completely sequenced genomes that meet the objective criteria of a high degree of local gene order (synteny) and a small number of synonymous substitutions in the protein-coding genes. As such, each ATGC is suited for analysis of microevolutionary variations within a cohesive group of organisms (e.g. species), whereas the entire collection of ATGCs is useful for macroevolutionary studies. The ATGC database includes many forms of pre-computed data, in particular ATGC-COGs (Clusters of Orthologous Genes), multiple sequence alignments, a set of 'index' orthologs representing the most well-conserved members of each ATGC-COG, the phylogenetic tree of the organisms within each ATGC, etc. Although the ATGC database contains several million proteins from thousands of genomes organized into hundreds of clusters (roughly a 4-fold increase since the last version of the ATGC database), it is now built with completely automated methods and will be regularly updated following new releases of the NCBI RefSeq database. The ATGC database is hosted jointly at the University of Iowa at dmk-brain.ecn.uiowa.edu/ATGC/ and the NCBI at ftp.ncbi.nlm.nih.gov/pub/kristensen/ATGC/atgc_home.html. Published by Oxford University Press on behalf of Nucleic Acids Research 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US.

  9. Digital game based learning: A new method in teaching and learning mathematics

    Science.gov (United States)

    Hussain, Sayed Yusoff bin Syed; Hoe, Tan Wee; Idris, Muhammad Zaffwan bin

    2017-05-01

    Digital game-based learning (DGBL) had been regarded as a sound learning strategy in raising pupils' willingness and interest in many disciplines. Normally, video and digital games are used in the teaching and learning mathematics. based on literature, digital games have proven its capability in making pupils motivated and are more likely to contribute to effective learning mathematics. Hence this research aims to construct a DGBL in the teaching of Mathematics for Year 1 pupils. Then, a quasi-experimental study was carried out in a school located in Gua Musang, Kelantan, involving 39 pupils. Specifically, this article tests the effectiveness of the use of DGBL in the teaching of the topic Addition of Less than 100 on pupil's achievement. This research employed a quasi-experiment, Pre and Post Test of Non-equivalent Control Group design. The data were analysed using the Nonparametric test namely the Mann-Whitney U. The research finding shows the use of the DGBL could increase the pupils' achievement in the topic of Addition of Less than 100. In practice, this research indicates that the DBGL can utilized as an alternative reference strategy for Mathematics teacher.

  10. 75 FR 26647 - Ophthalmic and Topical Dosage Form New Animal Drugs; Ivermectin Topical Solution

    Science.gov (United States)

    2010-05-12

    .... FDA-2010-N-0002] Ophthalmic and Topical Dosage Form New Animal Drugs; Ivermectin Topical Solution... are treated with a topical solution of ivermectin. DATES: This rule is effective May 12, 2010. FOR... ANADA 200-340 for PRIVERMECTIN (ivermectin), a topical solution used on cattle to control infestations...

  11. Researching Design, Experience and Practice of Networked Learning

    DEFF Research Database (Denmark)

    Hodgson, Vivien; de Laat, Maarten; McConnell, David

    2014-01-01

    and final section draws attention to a growing topic of interest within networked learning: that of networked learning in informal practices. In addition, we provide a reflection on the theories, methods and settings featured in the networked learning research of the chapters. We conclude the introduction...

  12. Women's Health Topics

    Science.gov (United States)

    ... Information by Audience For Women Women's Health Topics Women's Health Topics Share Tweet Linkedin Pin it More sharing options Linkedin Pin it Email Print National Women's Health Week May 13 - 19, 2018 Join us ...

  13. The effects of topic choice in project-based instruction on undergraduate physical science students' interest, ownership, and motivation

    Science.gov (United States)

    Milner-Bolotin, Marina

    2001-07-01

    Motivating nonscience majors in science and mathematics studies became one of the most interesting and important challenges in contemporary science and mathematics education. Therefore, designing and studying a learning environment, which enhances students' motivation, is an important task. This experimental study sought to explore the implications of student autonomy in topic choice in a project-based Physical Science Course for nonscience majors' on students' motivational orientation. It also suggested and tested a model explaining motivational outcomes of project-based learning environment through increased student ownership of science projects. A project, How Things Work, was designed and implemented in this study. The focus of the project was application of physical science concepts learned in the classroom to everyday life situations. Participants of the study (N = 59) were students enrolled in three selected sections of a Physical Science Course, designed to fulfill science requirements for nonscience majors. These sections were taught by the same instructor over a period of an entire 16-week semester at a large public research university. The study focused on four main variables: student autonomy in choosing a project topic, their motivational orientation, student ownership of the project, and the interest in the project topic. Achievement Goal Orientation theory became the theoretical framework for the study. Student motivational orientation, defined as mastery or performance goal orientation, was measured by an Achievement Goal Orientation Questionnaire. Student ownership was measured using an original instrument, Ownership Measurement Questionnaire, designed and tested by the researchers. Repeated measures yoked design, ANOVA, ANCOVA, and multivariate regression analysis were implemented in the study. Qualitative analysis was used to complement and verify quantitative results. It has been found that student autonomy in the project choice did not make a

  14. Using Technology to Support Discussions on Sensitive Topics in the Study of Business Ethics

    Science.gov (United States)

    Fong, Michelle

    2015-01-01

    There is a dearth of research into teaching strategies and learning approaches for units involving sensitive topics that can provoke an emotional response in students. In a business ethics unit, attempts to strike a balance between conceptual knowledge and theory and skills training can be challenging because the unit can involve personal,…

  15. Constructing topic models of Internet of Things for information processing.

    Science.gov (United States)

    Xin, Jie; Cui, Zhiming; Zhang, Shukui; He, Tianxu; Li, Chunhua; Huang, Haojing

    2014-01-01

    Internet of Things (IoT) is regarded as a remarkable development of the modern information technology. There is abundant digital products data on the IoT, linking with multiple types of objects/entities. Those associated entities carry rich information and usually in the form of query records. Therefore, constructing high quality topic hierarchies that can capture the term distribution of each product record enables us to better understand users' search intent and benefits tasks such as taxonomy construction, recommendation systems, and other communications solutions for the future IoT. In this paper, we propose a novel record entity topic model (RETM) for IoT environment that is associated with a set of entities and records and a Gibbs sampling-based algorithm is proposed to learn the model. We conduct extensive experiments on real-world datasets and compare our approach with existing methods to demonstrate the advantage of our approach.

  16. Constructing Topic Models of Internet of Things for Information Processing

    Science.gov (United States)

    Xin, Jie; Cui, Zhiming; Zhang, Shukui; He, Tianxu; Li, Chunhua; Huang, Haojing

    2014-01-01

    Internet of Things (IoT) is regarded as a remarkable development of the modern information technology. There is abundant digital products data on the IoT, linking with multiple types of objects/entities. Those associated entities carry rich information and usually in the form of query records. Therefore, constructing high quality topic hierarchies that can capture the term distribution of each product record enables us to better understand users' search intent and benefits tasks such as taxonomy construction, recommendation systems, and other communications solutions for the future IoT. In this paper, we propose a novel record entity topic model (RETM) for IoT environment that is associated with a set of entities and records and a Gibbs sampling-based algorithm is proposed to learn the model. We conduct extensive experiments on real-world datasets and compare our approach with existing methods to demonstrate the advantage of our approach. PMID:25110737

  17. Machine learning with R

    CERN Document Server

    Lantz, Brett

    2013-01-01

    Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or

  18. Topic models: A novel method for modeling couple and family text data

    Science.gov (United States)

    Atkins, David C.; Rubin, Tim N.; Steyvers, Mark; Doeden, Michelle A.; Baucom, Brian R.; Christensen, Andrew

    2012-01-01

    Couple and family researchers often collect open-ended linguistic data – either through free response questionnaire items or transcripts of interviews or therapy sessions. Because participant's responses are not forced into a set number of categories, text-based data can be very rich and revealing of psychological processes. At the same time it is highly unstructured and challenging to analyze. Within family psychology analyzing text data typically means applying a coding system, which can quantify text data but also has several limitations, including the time needed for coding, difficulties with inter-rater reliability, and defining a priori what should be coded. The current article presents an alternative method for analyzing text data called topic models (Steyvers & Griffiths, 2006), which has not yet been applied within couple and family psychology. Topic models have similarities with factor analysis and cluster analysis in that topic models identify underlying clusters of words with semantic similarities (i.e., the “topics”). In the present article, a non-technical introduction to topic models is provided, highlighting how these models can be used for text exploration and indexing (e.g., quickly locating text passages that share semantic meaning) and how output from topic models can be used to predict behavioral codes or other types of outcomes. Throughout the article a collection of transcripts from a large couple therapy trial (Christensen et al., 2004) is used as example data to highlight potential applications. Practical resources for learning more about topic models and how to apply them are discussed. PMID:22888778

  19. The effect of learning models and emotional intelligence toward students learning outcomes on reaction rate

    Science.gov (United States)

    Sutiani, Ani; Silitonga, Mei Y.

    2017-08-01

    This research focused on the effect of learning models and emotional intelligence in students' chemistry learning outcomes on reaction rate teaching topic. In order to achieve the objectives of the research, with 2x2 factorial research design was used. There were two factors tested, namely: the learning models (factor A), and emotional intelligence (factor B) factors. Then, two learning models were used; problem-based learning/PBL (A1), and project-based learning/PjBL (A2). While, the emotional intelligence was divided into higher and lower types. The number of population was six classes containing 243 grade X students of SMAN 10 Medan, Indonesia. There were 15 students of each class were chosen as the sample of the research by applying purposive sampling technique. The data were analyzed by applying two-ways analysis of variance (2X2) at the level of significant α = 0.05. Based on hypothesis testing, there was the interaction between learning models and emotional intelligence in students' chemistry learning outcomes. Then, the finding of the research showed that students' learning outcomes in reaction rate taught by using PBL with higher emotional intelligence is higher than those who were taught by using PjBL. There was no significant effect between students with lower emotional intelligence taught by using both PBL and PjBL in reaction rate topic. Based on the finding, the students with lower emotional intelligence were quite hard to get in touch with other students in group discussion.

  20. Multi-agent machine learning a reinforcement approach

    CERN Document Server

    Schwartz, H M

    2014-01-01

    The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Chapter 3 discusses two player games including two player matrix games with both pure and mixed strategies. Numerous algorithms and examples are presented. Chapter 4 covers learning in multi-player games, stochastic games, and Markov games, focusing on learning multi-pla

  1. Towards design guidelines for work related learning arrangements

    NARCIS (Netherlands)

    J.H. Lappia

    2011-01-01

    Work related learning is a topic of considerable interest currently and can be broadly seen to be concerned with all forms of training and learning closely related to the daily work of employees. From the angle of higher education work related learning is an important development because parts of

  2. Self-regulated and technology-enhanced learning: a European perspective

    NARCIS (Netherlands)

    Mooij, Ton; Steffens, Karl; Andrade, Maureen Snow

    2014-01-01

    Self-regulation of learning, learning to learn, and their potential stimulation by specific Information and Communication Technologies (ICTs), are main topics in European policy. This issue of the ‘European Educational Research Journal’ (EERJ) focuses on research to develop, integrate, and evaluate

  3. Self-regulated and technology-enhanced learning: a European perspective

    NARCIS (Netherlands)

    Mooij, Ton; Steffens, Karl; Andrade, Maureen Snow

    2015-01-01

    Self-regulation of learning, learning to learn, and their potential stimulation by specific Information and Communication Technologies (ICTs), are main topics in European policy. This issue of the ‘European Educational Research Journal’ (EERJ) focuses on research to develop, integrate, and evaluate

  4. 「中草藥用藥」之主題地圖式數位學習教材建構與應用 The Construction and Application of Chinese Herb Medication Digital Learning Material Using Multi-level Topic Map

    Directory of Open Access Journals (Sweden)

    Ju-Ling Shih

    2006-12-01

    Full Text Available 本研究之主要目的在於運用資訊科技來建構數位學習教材,規劃並建議學習之應用方式。我們在「神農e經:中草藥用藥典範數位學習內容開發及實地實驗研究」中開發了多層次的主題地圖數位教材模組,能夠自動擷取各種不同來源的中草藥用藥學習素材,由課程引擎使用自我組織映射(SOM)演算法,自動編製成多層次的主題地圖,有效的將原始資料組織成具有專業意義的學習材料。主題地圖之教材應用具有幾項特點:呈現豐富多元且專業的資料與其知識架構、提供客制化與互動化的學習機制以支援系統化與建構式學習、經由自動演算系統提供簡單易懂的操作機制。因此,學習者得以藉此獲得最即時與正確的中草藥用藥安全知識。This research aims to use information technology to construct digital learning material, and discusses its design and application possibilities. This paper presents the process and result of our research related to the project “Shannon Sutra: Digital Learning Content and Experimental Research on Chinese Herb Medication Safety” granted by National Science Foundation. In this research, we use multi-level topic map digital learning material model to render tremendous original assets, and then embed text-mining techniques in course engine to produce topical learning materials. The autonomous method can process raw data and original document to generate meaningful search results, and thus develop to be well-structured learning material. Self-Organizing Map system helps to demonstrate rich and professional information and knowledge structure; it provides customized and interactive learning dynamic to support both progressive and constructive learning styles; it has autonomous system to afford easy and convenient operation for information search. With topic map system, learners can interact with the dynamic topic map and

  5. Efficient Ways to Learn Weather Radar Polarimetry

    Science.gov (United States)

    Cao, Qing; Yeary, M. B.; Zhang, Guifu

    2012-01-01

    The U.S. weather radar network is currently being upgraded with dual-polarization capability. Weather radar polarimetry is an interdisciplinary area of engineering and meteorology. This paper presents efficient ways to learn weather radar polarimetry through several basic and practical topics. These topics include: 1) hydrometeor scattering model…

  6. Machine learning a probabilistic perspective

    CERN Document Server

    Murphy, Kevin P

    2012-01-01

    Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic method...

  7. What defines an adaptive radiation? Macroevolutionary diversification dynamics of an exceptionally species-rich continental lizard radiation.

    Science.gov (United States)

    Pincheira-Donoso, Daniel; Harvey, Lilly P; Ruta, Marcello

    2015-08-07

    Adaptive radiation theory posits that ecological opportunity promotes rapid proliferation of phylogenetic and ecological diversity. Given that adaptive radiation proceeds via occupation of available niche space in newly accessed ecological zones, theory predicts that: (i) evolutionary diversification follows an 'early-burst' process, i.e., it accelerates early in the history of a clade (when available niche space facilitates speciation), and subsequently slows down as niche space becomes saturated by new species; and (ii) phylogenetic branching is accompanied by diversification of ecologically relevant phenotypic traits among newly evolving species. Here, we employ macroevolutionary phylogenetic model-selection analyses to address these two predictions about evolutionary diversification using one of the most exceptionally species-rich and ecologically diverse lineages of living vertebrates, the South American lizard genus Liolaemus. Our phylogenetic analyses lend support to a density-dependent lineage diversification model. However, the lineage through-time diversification curve does not provide strong support for an early burst. In contrast, the evolution of phenotypic (body size) relative disparity is high, significantly different from a Brownian model during approximately the last 5 million years of Liolaemus evolution. Model-fitting analyses also reject the 'early-burst' model of phenotypic evolution, and instead favour stabilizing selection (Ornstein-Uhlenbeck, with three peaks identified) as the best model for body size diversification. Finally, diversification rates tend to increase with smaller body size. Liolaemus have diversified under a density-dependent process with slightly pronounced apparent episodic pulses of lineage accumulation, which are compatible with the expected episodic ecological opportunity created by gradual uplifts of the Andes over the last ~25My. We argue that ecological opportunity can be strong and a crucial driver of adaptive

  8. Impact on learning of an e-learning module on leukaemia: a randomised controlled trial

    Directory of Open Access Journals (Sweden)

    Morgulis Yuri

    2012-05-01

    Full Text Available Abstract Background e-learning resources may be beneficial for complex or conceptually difficult topics. Leukaemia is one such topic, yet there are no reports on the efficacy of e-learning for leukaemia. This study compared the learning impact on senior medical students of a purpose-built e-learning module on leukaemia, compared with existing online resources. Methods A randomised controlled trial was performed utilising volunteer senior medical students. Participants were randomly allocated to Study and Control groups. Following a pre-test on leukaemia administered to both groups, the Study group was provided with access to the new e-learning module, while the Control group was directed to existing online resources. A post-test and an evaluation questionnaire were administered to both groups at the end of the trial period. Results Study and Control groups were equivalent in gender distribution, mean academic ability, pre-test performance and time studying leukaemia during the trial. The Study group performed significantly better than the Control group in the post-test, in which the group to which the students had been allocated was the only significant predictor of performance. The Study group’s evaluation of the module was overwhelmingly positive. Conclusions A targeted e-learning module on leukaemia had a significant effect on learning in this cohort, compared with existing online resources. We believe that the interactivity, dialogic feedback and integration with the curriculum offered by the e-learning module contributed to its impact. This has implications for e-learning design in medicine and other disciplines.

  9. Impact on learning of an e-learning module on leukaemia: a randomised controlled trial

    Science.gov (United States)

    2012-01-01

    Background e-learning resources may be beneficial for complex or conceptually difficult topics. Leukaemia is one such topic, yet there are no reports on the efficacy of e-learning for leukaemia. This study compared the learning impact on senior medical students of a purpose-built e-learning module on leukaemia, compared with existing online resources. Methods A randomised controlled trial was performed utilising volunteer senior medical students. Participants were randomly allocated to Study and Control groups. Following a pre-test on leukaemia administered to both groups, the Study group was provided with access to the new e-learning module, while the Control group was directed to existing online resources. A post-test and an evaluation questionnaire were administered to both groups at the end of the trial period. Results Study and Control groups were equivalent in gender distribution, mean academic ability, pre-test performance and time studying leukaemia during the trial. The Study group performed significantly better than the Control group in the post-test, in which the group to which the students had been allocated was the only significant predictor of performance. The Study group’s evaluation of the module was overwhelmingly positive. Conclusions A targeted e-learning module on leukaemia had a significant effect on learning in this cohort, compared with existing online resources. We believe that the interactivity, dialogic feedback and integration with the curriculum offered by the e-learning module contributed to its impact. This has implications for e-learning design in medicine and other disciplines. PMID:22640463

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

    Directory of Open Access Journals (Sweden)

    Arthur Shelley

    2014-01-01

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

  11. Child Development: An Active Learning Approach

    Science.gov (United States)

    Levine, Laura E.; Munsch, Joyce

    2010-01-01

    Within each chapter of this innovative topical text, the authors engage students by demonstrating the wide range of real-world applications of psychological research connected to child development. In particular, the distinctive Active Learning features incorporated throughout the book foster a dynamic and personal learning process for students.…

  12. Measuring Learning Resistance to Workplace Training

    Science.gov (United States)

    Taylor, Jonathan E.; Lounsbury, John

    2016-01-01

    Training Transfer has been a topic bearing considerable mention over the past several decades. This article focuses on the connection between training transfer and learning resistance and presents research findings describing the design, creation, and testing of the Learning Efficiency Inventory (LEI). The LEI was designed to measure learning…

  13. The Service Learning Projects: Stakeholder Benefits and Potential Class Topics

    Science.gov (United States)

    Rutti, Raina M.; LaBonte, Joanne; Helms, Marilyn Michelle; Hervani, Aref Agahei; Sarkarat, Sy

    2016-01-01

    Purpose: The purpose of this paper is to summarize the benefits of including a service learning project in college classes and focusses on benefits to all stakeholders, including students, community, and faculty. Design/methodology/approach: Using a snowball approach in academic databases as well as a nominal group technique to poll faculty, key…

  14. Comparing problem-based learning students to students in a lecture-based curriculum: learning strategies and the relation with self-study time

    OpenAIRE

    Wijnen, Marit; Loyens, Sofie; Smeets, Guus; Kroeze, Maarten; Molen, Henk

    2017-01-01

    textabstractIn educational theory, deep processing (i.e., connecting different study topics together) and self-regulation (i.e., taking control over one’s own learning process) are considered effective learning strategies. These learning strategies can be influenced by the learning environment. Problem-based learning (PBL), a student-centered educational method, is believed to stimulate the use of these effective learning strategies. Several aspects of PBL such as discussions of real-life pro...

  15. Improving Student Learning of Calculus Topics via Modified Just-in-Time Teaching Methods

    Science.gov (United States)

    Natarajan, Rekha; Bennett, Andrew

    2014-01-01

    Although the use of traditional just-in-time teaching techniques has long been viewed positively by students and instructors in undergraduate calculus courses, past studies in this area have not addressed gains in student achievement with respect to specific calculus topics. This paper investigates the latter by administering modified just-in-time…

  16. 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

  17. Web based Interactive 3D Learning Objects for Learning Management Systems

    Directory of Open Access Journals (Sweden)

    Stefan Hesse

    2012-02-01

    Full Text Available In this paper, we present an approach to create and integrate interactive 3D learning objects of high quality for higher education into a learning management system. The use of these resources allows to visualize topics, such as electro-technical and physical processes in the interior of complex devices. This paper addresses the challenge of combining rich interactivity and adequate realism with 3D exercise material for distance elearning.

  18. Learning about energy

    International Nuclear Information System (INIS)

    Anon.

    1986-01-01

    This book provides a technological but mostly non-mathematical approach to learning about energy, with material ranging from basic technical and scientific information, to discussions of important recent events, trends, and policy implications. Major topics include: energy in its social and economic context, conservation: technical and institutional topics, resources and reserves of fossil fuels, coal and its derivatives, nuclear power: technology, safety, wastes, societ complications and controlled fusion, solar power: photo voltaics, wind, boimass and other modes, and increasing global electrification: energy storage and power system integration

  19. Developing an English Mobile Learning Attitude Scale for Adult Learners

    Science.gov (United States)

    Liu, Tzu-Ying

    2017-01-01

    In recent years, with the rapid development of mobile devices, mobile learning (m-learning) has becoming another popular topic. There is a strong need for both researchers and educators to be aware of adult learners' attitudes toward English mobile learning, yet relevant studies on mobile learning to promote English learning for adult learners are…

  20. Towards Non-prescriptive Issues: a Teaching Framework for Selecting Marketing Dissertation Topics

    OpenAIRE

    Horan, Conor

    2006-01-01

    There is a significant absence in academic literature, textbooks and practical teaching tools for advising or guiding student learning, in a practical non-prescriptive manner, toward topic selection and development. Prescriptive or rational approaches, taken by many research methods textbooks, are not adequate or sufficient when teaching this important first stage in the research process. Non-prescriptive approaches describing manageable steps should be researched more to fill this pedagogic ...

  1. First-Generation College Student Dissertation Abstracts: Research Strategies, Topical Analysis, and Lessons Learned

    Science.gov (United States)

    Banning, James H.

    2014-01-01

    First-generation college students are students whose parents or guardians did not obtain a four year college degree (Davis, 2012). As a group these students make up a large part of the college student population and are often reported to encounter difficulties in their campus experience. While the topic of first-generation student has received…

  2. Topic Visualization and Survival Analysis

    OpenAIRE

    Wang, Ping Jr

    2017-01-01

    Latent semantic structure in a text collection is called a topic. In this thesis, we aim to visualize topics in the scientific literature and detect active or inactive research areas based on their lifetime. Topics were extracted from over 1 million abstracts from the arXiv.org database using Latent Dirichlet Allocation (LDA). Hellinger distance measures similarity between two topics. Topics are determined to be relevant if their pairwise distances are smaller than the threshold of Hellinger ...

  3. Effects of Reading Ability, Prior Knowledge, Topic Interest, and Locus of Control on At-Risk College Students' Use of Graphic Organizers and Summarizing.

    Science.gov (United States)

    Balajthy, Ernest; Weisberg, Renee

    A study investigated the influence of key factors (general comprehension ability, prior knowledge of passage topic, interest in passage topic, and locus of control) on training at-risk college students in the use of graphic organizers as a cognitive learning strategy. Subjects, 60 college freshmen required to take a developmental reading/study…

  4. 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…

  5. Learning in the Digital Age: Control or Connection?

    Science.gov (United States)

    Van Galen, Jane

    2013-01-01

    In October 2011, 200 state school officers and legislators gathered at a hotel in San Francisco to learn how to "revolutionize" learning by "personalizing" instruction. The occasion was former Florida Gov. Jeb Bush's second annual National Summit on Education Reform. The topic was digital learning. The vision of digitally managed curriculum and…

  6. Knowledge Sharing Practice in a Play-Like Learning Environment

    DEFF Research Database (Denmark)

    Benjaminsen, Nana

    2007-01-01

    The topic of this paper is play-like learning as it occurs when technology based learning environments is invited into the classroom. Observations of 5th grade classes playing with Lego Robolab, is used to illustrate that different ways of learning becomes visible when digital technology...

  7. GeneTopics - interpretation of gene sets via literature-driven topic models

    Science.gov (United States)

    2013-01-01

    Background Annotation of a set of genes is often accomplished through comparison to a library of labelled gene sets such as biological processes or canonical pathways. However, this approach might fail if the employed libraries are not up to date with the latest research, don't capture relevant biological themes or are curated at a different level of granularity than is required to appropriately analyze the input gene set. At the same time, the vast biomedical literature offers an unstructured repository of the latest research findings that can be tapped to provide thematic sub-groupings for any input gene set. Methods Our proposed method relies on a gene-specific text corpus and extracts commonalities between documents in an unsupervised manner using a topic model approach. We automatically determine the number of topics summarizing the corpus and calculate a gene relevancy score for each topic allowing us to eliminate non-specific topics. As a result we obtain a set of literature topics in which each topic is associated with a subset of the input genes providing directly interpretable keywords and corresponding documents for literature research. Results We validate our method based on labelled gene sets from the KEGG metabolic pathway collection and the genetic association database (GAD) and show that the approach is able to detect topics consistent with the labelled annotation. Furthermore, we discuss the results on three different types of experimentally derived gene sets, (1) differentially expressed genes from a cardiac hypertrophy experiment in mice, (2) altered transcript abundance in human pancreatic beta cells, and (3) genes implicated by GWA studies to be associated with metabolite levels in a healthy population. In all three cases, we are able to replicate findings from the original papers in a quick and semi-automated manner. Conclusions Our approach provides a novel way of automatically generating meaningful annotations for gene sets that are directly

  8. Topics in Banach space theory

    CERN Document Server

    Albiac, Fernando

    2016-01-01

    This text provides the reader with the necessary technical tools and background to reach the frontiers of research without the introduction of too many extraneous concepts. Detailed and accessible proofs are included, as are a variety of exercises and problems. The two new chapters in this second edition are devoted to two topics of much current interest amongst functional analysts: Greedy approximation with respect to bases in Banach spaces and nonlinear geometry of Banach spaces. This new material is intended to present these two directions of research for their intrinsic importance within Banach space theory, and to motivate graduate students interested in learning more about them. This textbook assumes only a basic knowledge of functional analysis, giving the reader a self-contained overview of the ideas and techniques in the development of modern Banach space theory. Special emphasis is placed on the study of the classical Lebesgue spaces Lp (and their sequence space analogues) and spaces of continuous f...

  9. Adolescents with specific learning disabilities - perceptions of specific learning disabilities in the environment of secondary schools

    OpenAIRE

    Pospíšilová, Zuzana

    2012-01-01

    The thesis focuses on adolescents with specific learning disabilities in the milieu of secondary schools. It is divided into a theoretical part and an empirical part. The first part introduces a topic of specific learning disabilities in the developmental stage of adolescence. It first describes the most relevant aspects of adolescent development. The attention is then paid to typical manifestations of specific learning disabilities in adolescence, and also to secondary symptoms usually conne...

  10. Learning Materials Recommendation Using Good Learners' Ratings and Content-Based Filtering

    Science.gov (United States)

    Ghauth, Khairil Imran; Abdullah, Nor Aniza

    2010-01-01

    The enormity of the amount of learning materials in e-learning has led to the difficulty of locating suitable learning materials for a particular learning topic, creating the need for recommendation tools within a learning context. In this paper, we aim to address this need by proposing a novel e-learning recommender system framework that is based…

  11. Experiences with E-learning in Ophthalmology

    Directory of Open Access Journals (Sweden)

    Seema Dutt Bandhu

    2014-01-01

    Full Text Available Introduction: E-learning is the use of internet for the purpose of education. E-learning in medical education is at a nascent stage in our country. The present study was carried out with the purpose of introducing e-learning to third year medical students in the subject of Ophthalmology and taking feedback on their attitude towards the new methodology of teaching and evaluating. Materials and Methods: E-learning was introduced to the seventh semester students of MBBS in the subject of Ophthalmology. The topics were converted to web friendly format and used for teaching and evaluating. Feedback was taken from the students on completion of the term on their attitudes towards e-learning and their views on the scope of e-learning in medical education. Results: All the students agreed on the usefulness of e-learning in medical education. Eleven students (27.5% found the medium of e-learning to be interesting, 15 (37.5% considered it to be easy and accessible, 10 (25% found it to be fast and easy, 4 (10% considered it to be a medium which can give updated information. Twenty-three (57.5% students considered that e-learning should be a medium of instruction in all the subjects, 15 (37.5% students considered its usefulness in clinical subjects only. Twenty-eight students (70% desired that e-learning should be used to provide important notes, questions, MCQs on all topics. Conclusions: E-learning is well accepted as a medium of instruction by medical students.

  12. Interest, Inferences, and Learning from Texts

    Science.gov (United States)

    Clinton, Virginia; van den Broek, Paul

    2012-01-01

    Topic interest and learning from texts have been found to be positively associated with each other. However, the reason for this positive association is not well understood. The purpose of this study is to examine a cognitive process, inference generation, that could explain the positive association between interest and learning from texts. In…

  13. Planning School Grounds for Outdoor Learning

    Science.gov (United States)

    Wagner, Cheryl; Gordon, Douglas

    2010-01-01

    This publication covers the planning and design of school grounds for outdoor learning in new and existing K-12 facilities. Curriculum development as well as athletic field planning and maintenance are not covered although some references on these topics are provided. It discusses the different types of outdoor learning environments that can be…

  14. Connecting Learning Spaces Using Mobile Technology

    Science.gov (United States)

    Chen, Wenli; Seow, Peter; So, Hyo-Jeong; Toh, Yancy; Looi, Chee-Kit

    2010-01-01

    The use of mobile technology can help extend children's learning spaces and enrich the learning experiences in their everyday lives where they move from one context to another, switching locations, social groups, technologies, and topics. When students have ubiquitous access to mobile devices with full connectivity, the in-situ use of the mobile…

  15. Beyond Concern: K-12 Faculty and Staff's Perspectives on Privacy Topics and Cybersafety

    Science.gov (United States)

    Hipsky, Shellie; Younes, Wiam

    2015-01-01

    In a time when discussions about information privacy dominate the media, research on Cybersafety education reveals that K-12 teachers and staff are concerned about information privacy in schools and they seek to learn more about the protection of their students' and own personal information online. Privacy topics are typically introduced to the…

  16. Web-based Collaborative learning in secondary education: Teachers’ reflection

    Directory of Open Access Journals (Sweden)

    Hsi-Chi Hsiao

    2010-06-01

    Full Text Available This article is based on the researchers’ reflections after twice participating in a Web-based Collaborative Learning Program Contest. The contests were held by Asia-Pacific Economic Cooperation (APEC Cyber Academy (ACA. In collaborative learning, teachers are expected to provide participants with scaffolding assistance. The ACA is designed to provide student-centered activities for enhancing skills in information and communication technologies. Students are expected to find data, prepare presentations, and report their topics in English to communicate with other teams from other countries. During these processes, the researcher tried to apply theoretical models such as computerized instruction and topic based learning. The results of this study show the various benefits of Web-based Collaborative Learning for students and teachers. This study also includes several recommendations for primary and secondary schools.

  17. Active Learning and Teaching: Improving Postsecondary Library Instruction.

    Science.gov (United States)

    Allen, Eileen E.

    1995-01-01

    Discusses ways to improve postsecondary library instruction based on theories of active learning. Topics include a historical background of active learning; student achievement and attitudes; cognitive development; risks; active teaching; and instructional techniques, including modified lectures, brainstorming, small group work, cooperative…

  18. Sustainability Matters for Undergraduate Teaching and Learning

    Science.gov (United States)

    Fry, Catherine L.; Wei, Cynthia A.

    2015-01-01

    A growing body of evidence shows that infusing sustainability into undergraduate courses and programs can simultaneously benefit institutional goals, student learning outcomes, and society at large. In addition to being a globally relevant and urgent topic, sustainability can enhance learning of disciplinary concepts and development of broad…

  19. Connecting Music, Art, and Science for Increased Creativity and Topic Engagement ?

    OpenAIRE

    McNealy, Tamara L.

    2013-01-01

    ‘Attention spans have shortened,’ is a common phrase often used in reference to today’s college students. As faculty and instructors, we need to address this issue through the utilization of innovative and creative techniques that aid in making our subjects accessible to our students. Connecting a serious topic such as microbiology with a ‘fun’ activity can increase student engagement and learning. Ideas to maintain student attention on a subject include providing information in 15- to 20-min...

  20. Interactive radiological anatomy eLearning solution for first year medical students: Development, integration, and impact on learning.

    Science.gov (United States)

    Webb, Alexandra Louise; Choi, Sunhea

    2014-01-01

    A technology enhanced learning and teaching (TELT) solution, radiological anatomy (RA) eLearning, composed of a range of identification-based and guided learning activities related to normal and pathological X-ray images, was devised for the Year 1 nervous and locomotor course at the Faculty of Medicine, University of Southampton. Its effectiveness was evaluated using a questionnaire, pre- and post-tests, focus groups, summative assessment, and tracking data. Since introduced in 2009, a total of 781 students have used RA eLearning, and among them 167 Year 1 students in 2011, of whom 116 participated in the evaluation study. Students enjoyed learning (77%) with RA eLearning, found it was easy to use (81%) and actively engaged them in their learning (75%), all of which were associated to the usability, learning design of the TELT solution and its integration in the curriculum; 80% of students reported RA eLearning helped their revision of anatomy and 69% stated that it facilitated their application of anatomy in a clinical context, both of which were associated with the benefits offered by the learning and activities design. At the end of course summative assessment, student knowledge of RA eLearning relevant topics (mean 80%; SD ±16) was significantly better as compared to topics not relevant to RA eLearning (mean 63%; SD ±15) (mean difference 18%; 95% CI 15% to 20%; P < 0.001). A well designed and integrated TELT solution can be an efficient method for facilitating the application, integration, and contextualization of anatomy and radiology to create a blended learning environment. © 2013 American Association of Anatomists.

  1. Incorporating Topic Assignment Constraint and Topic Correlation Limitation into Clinical Goal Discovering for Clinical Pathway Mining

    Directory of Open Access Journals (Sweden)

    Xiao Xu

    2017-01-01

    Full Text Available Clinical pathways are widely used around the world for providing quality medical treatment and controlling healthcare cost. However, the expert-designed clinical pathways can hardly deal with the variances among hospitals and patients. It calls for more dynamic and adaptive process, which is derived from various clinical data. Topic-based clinical pathway mining is an effective approach to discover a concise process model. Through this approach, the latent topics found by latent Dirichlet allocation (LDA represent the clinical goals. And process mining methods are used to extract the temporal relations between these topics. However, the topic quality is usually not desirable due to the low performance of the LDA in clinical data. In this paper, we incorporate topic assignment constraint and topic correlation limitation into the LDA to enhance the ability of discovering high-quality topics. Two real-world datasets are used to evaluate the proposed method. The results show that the topics discovered by our method are with higher coherence, informativeness, and coverage than the original LDA. These quality topics are suitable to represent the clinical goals. Also, we illustrate that our method is effective in generating a comprehensive topic-based clinical pathway model.

  2. Through the Open Door--Today's Revolution in Open Access and Distance Learning.

    Science.gov (United States)

    Bennett, Roger, Ed.

    1986-01-01

    Consists of eight articles discussing the topic of open learning. Articles address (1) definitions, (2) corporate training, (3) further education programs, (4) university-based training, (5) distance learning, (6) learning to learn, (7) Britain's Open University, (8) the Business-Technical Education Council. (CH)

  3. Learned Helplessness and the Elementary Student: Implications for Counselors.

    Science.gov (United States)

    Greer, John G.; Wethered, Chris E.

    1987-01-01

    Explores the topic of learned helplessness in children. Discusses these counselor strategies for helping children with learned helplessness: develop realistic attributions, provide feedback, provide success experiences, provide microcomputer experiences, and set realistic goals and expectations. (ABL)

  4. Comparison of lecture and team-based learning in medical ethics education.

    Science.gov (United States)

    Ozgonul, Levent; Alimoglu, Mustafa Kemal

    2017-01-01

    Medical education literature suggests that ethics education should be learner-centered and problem-based rather than theory-based. Team-based learning is an appropriate method for this suggestion. However, its effectiveness was not investigated enough in medical ethics education. Is team-based learning effective in medical ethics education in terms of knowledge retention, in-class learner engagement, and learner reactions? This was a prospective controlled follow-up study. We changed lecture with team-based learning method to teach four topics in a 2-week medical ethics clerkship, while the remaining topics were taught by lectures. For comparison, we formed team-based learning and lecture groups, in which the students and instructor are the same, but the topics and teaching methodologies are different. We determined in-class learner engagement by direct observation and student satisfaction by feedback forms. Student success for team-based learning and lecture topics in the end-of-clerkship exam and two retention tests performed 1 year and 2 years later were compared. Ethical considerations: Ethical approval for the study was granted by Akdeniz University Board of Ethics on Noninvasive Clinical Human Studies Ethics committee. Short-term knowledge retention did not differ; however, team-based learning was found superior to lecture at long-term retention tests. Student satisfaction was high with team-based learning and in-class engagement was better in team-based learning sessions. Our results on learner engagement and satisfaction with team-based learning were similar to those of previous reports. However, knowledge retention results in our study were contrary to literature. The reason might be the fact that students prepared for the end-of-clerkship pass/fail exam (short term) regardless of the teaching method. But, at long-term retention tests, they did not prepare for the exam and answered the questions just using the knowledge retained in their memories. Our

  5. Inquiry-based learning to improve student engagement in a large first year topic

    Directory of Open Access Journals (Sweden)

    Masha Smallhorn

    2015-08-01

    Full Text Available Increasing the opportunity for students to be involved in inquiry-based activities can improve engagement with content and assist in the development of analysis and critical thinking skills. The science laboratory has traditionally been used as a platform to apply the content gained through the lecture series. These activities have exposed students to experiments which test the concepts taught but which often result in a predicted outcome. To improve the engagement and learning outcomes of our large first year biology cohort, the laboratories were redeveloped. Superlabs were run with 100 students attending weekly sessions increasing the amount of contact time from previous years. Laboratories were redeveloped into guided-inquiry and educators facilitated teams of students to design and carry out an experiment. To analyse the impact of the redevelopment on student satisfaction and learning outcomes, students were surveyed and multiple choice exam data was compared before and after the redevelopment. Results suggest high levels of student satisfaction and a significant improvement in student learning outcomes. All disciplines should consider including inquiry-based activities as a methodology to improve student engagement and learning outcome as it fosters the development of independent learners. 

  6. Health Topic XML File Description

    Science.gov (United States)

    ... this page: https://medlineplus.gov/xmldescription.html Health Topic XML File Description: MedlinePlus To use the sharing ... information categories assigned. Example of a Full Health Topic Record A record for a MedlinePlus health topic ...

  7. Commentary: On regulation and medical education: sociology, learning, and accountability.

    Science.gov (United States)

    Durning, Steven J; Artino, Anthony R; Holmboe, Eric

    2009-05-01

    The topic of regulation is commonplace in society, yet it seems to receive little explicit consideration in discussions on undergraduate medical education. The accompanying articles by Hauer and colleagues, White and colleagues, and Bloodgood and colleagues approach the topic of regulation from several different viewpoints. In this commentary, we too approach the topic of regulation from several different viewpoints: sociology, learning (self-regulated learning), and accountability. In this commentary, we present both theoretical and practical issues with the aim of initiating an open, scholarly discussion in the field of medical education. Ultimately, we hope other medical educators will seriously contemplate the questions raised and, more importantly, will consider employing these theoretical perspectives into future research efforts.

  8. Impact of reading purpose on incidental word learning from context

    NARCIS (Netherlands)

    Swanborn, MSL; de Glopper, Kees

    Children read texts for various reasons. We examined how reading texts for different purposes affected amounts of incidental word learning. Grade 6 students were asked to read texts for fun, to learn about the topic of the text, and for text comprehension. Proportions of words learned incidentally

  9. Effects of cooperative and problem-solving learning strategies on ...

    African Journals Online (AJOL)

    Learning is internalised faster and better when students are given opportunity to interact with one another in small groups; when topics are structured to solve real life problems, studying becomes fun and learning is facilitated and internalised; students learn better when a problem is used as a starting point for new ...

  10. E-learning. A New Environment for Engagement

    DEFF Research Database (Denmark)

    Olesen, Mogens; K. Logan, Robert

    2012-01-01

    scaffold interactive learning and make it more engaging. The article analyzes e-learning, first by defining four aspects that are affected by it, and finally we sketch four levels of e-learning. On the basis of this analysis, we use a case topic (World War 2) to demonstrate how e-learning in practice can...... in their learning methods, i.e. e-learning. There are at least two strong arguments for e-learning: 1) it will help schools staying in tune with the rest of the society. 2) digital media offer opportunities to learn in new, activating ways. We use Andy Clark’s extended mind thesis to argue how technologies can...

  11. Drugs + HIV, Learn the Link

    Medline Plus

    Full Text Available ... increases brain viral load and activates natural killer cells in simian immunodeficiency ... out with friends? It’s a topic you can’t ignore. Learn the Link: http://1.usa.gov/ ...

  12. Inverted Classroom by Topic - A Study in Mathematics for Electrical Engineering Students

    Directory of Open Access Journals (Sweden)

    Isabel Braun

    2014-06-01

    Full Text Available The inverted classroom is a teaching model, where the students prepare for classroom by watching video lectures. The classroom time is then dedicated to individual practice. We evaluated a mathematics course for electrical engineering students throughout three semesters, where 20% of the topics were taught using the inverted classroom model. The aim was to find out whether the model can help to better address groups with large differences in prior knowledge in mathematics. We report mainly positive feedback from the students, although the opinions vary greatly between the groups. The students appreciate the increased amount of practice in the classroom as well as the possibility to learn at their own pace. Exam performance remained constant in the topics taught using the inverted classroom compared to previous semesters. The exam performance of weaker students also remained constant.

  13. Identifying Topics in Microblogs Using Wikipedia.

    Science.gov (United States)

    Yıldırım, Ahmet; Üsküdarlı, Suzan; Özgür, Arzucan

    2016-01-01

    Twitter is an extremely high volume platform for user generated contributions regarding any topic. The wealth of content created at real-time in massive quantities calls for automated approaches to identify the topics of the contributions. Such topics can be utilized in numerous ways, such as public opinion mining, marketing, entertainment, and disaster management. Towards this end, approaches to relate single or partial posts to knowledge base items have been proposed. However, in microblogging systems like Twitter, topics emerge from the culmination of a large number of contributions. Therefore, identifying topics based on collections of posts, where individual posts contribute to some aspect of the greater topic is necessary. Models, such as Latent Dirichlet Allocation (LDA), propose algorithms for relating collections of posts to sets of keywords that represent underlying topics. In these approaches, figuring out what the specific topic(s) the keyword sets represent remains as a separate task. Another issue in topic detection is the scope, which is often limited to specific domain, such as health. This work proposes an approach for identifying domain-independent specific topics related to sets of posts. In this approach, individual posts are processed and then aggregated to identify key tokens, which are then mapped to specific topics. Wikipedia article titles are selected to represent topics, since they are up to date, user-generated, sophisticated articles that span topics of human interest. This paper describes the proposed approach, a prototype implementation, and a case study based on data gathered during the heavily contributed periods corresponding to the four US election debates in 2012. The manually evaluated results (0.96 precision) and other observations from the study are discussed in detail.

  14. Utopia2000: An Online Learning-Object Management Tool.

    Science.gov (United States)

    Aspillaga, Macarena

    2002-01-01

    Describes Utopia2002, a database that contains learning objects that enables faculty to design and develop interactive Web-based instruction. Topics include advanced distributed learning; sharable content objects (SCOs) and sharable content object reference model (SCORM); instructional systems design process; templates; and quality assurance. (LRW)

  15. 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

  16. Competences, Learning Theories and MOOCs: Recent Developments in Lifelong Learning

    Science.gov (United States)

    Steffens, Karl

    2015-01-01

    Our societies have come to be known as knowledge societies in which lifelong learning is becoming increasingly important. In this context, competences have become a much discussed topic. Many documents were published by international organisations (UNESCO, World Bank, European Commission) which enumerated 21st century key competences. The field of…

  17. Learning Biochemistry through Manga--Helping Students Learn and Remember, and Making Lectures More Exciting.

    Science.gov (United States)

    Nagata, Ryoichi

    1999-01-01

    Uses panels taken from manga, Japanese comics and cartoons, to supplement explanations of biochemical terms and topics in biochemistry classes. Results indicate that the use of manga helped students remember what they had learned. (Author/CCM)

  18. Regulatory Information By Topic

    Science.gov (United States)

    EPA develops and enforces regulations that span many environmental topics, from acid rain reduction to wetlands restoration. Each topic listed below may include related laws and regulations, compliance enforcement information, policies guidance

  19. Changing University Students' Alternative Conceptions of Optics by Active Learning

    Science.gov (United States)

    Hadžibegovic, Zalkida; Sliško, Josip

    2013-01-01

    Active learning is individual and group participation in effective activities such as in-class observing, writing, experimenting, discussion, solving problems, and talking about to-be-learned topics. Some instructors believe that active learning is impossible, or at least extremely difficult to achieve in large lecture sessions. Nevertheless, the…

  20. Identifying Topics in Microblogs Using Wikipedia.

    Directory of Open Access Journals (Sweden)

    Ahmet Yıldırım

    Full Text Available Twitter is an extremely high volume platform for user generated contributions regarding any topic. The wealth of content created at real-time in massive quantities calls for automated approaches to identify the topics of the contributions. Such topics can be utilized in numerous ways, such as public opinion mining, marketing, entertainment, and disaster management. Towards this end, approaches to relate single or partial posts to knowledge base items have been proposed. However, in microblogging systems like Twitter, topics emerge from the culmination of a large number of contributions. Therefore, identifying topics based on collections of posts, where individual posts contribute to some aspect of the greater topic is necessary. Models, such as Latent Dirichlet Allocation (LDA, propose algorithms for relating collections of posts to sets of keywords that represent underlying topics. In these approaches, figuring out what the specific topic(s the keyword sets represent remains as a separate task. Another issue in topic detection is the scope, which is often limited to specific domain, such as health. This work proposes an approach for identifying domain-independent specific topics related to sets of posts. In this approach, individual posts are processed and then aggregated to identify key tokens, which are then mapped to specific topics. Wikipedia article titles are selected to represent topics, since they are up to date, user-generated, sophisticated articles that span topics of human interest. This paper describes the proposed approach, a prototype implementation, and a case study based on data gathered during the heavily contributed periods corresponding to the four US election debates in 2012. The manually evaluated results (0.96 precision and other observations from the study are discussed in detail.

  1. Learning ActionScript 30

    CERN Document Server

    Shupe, Rich

    2010-01-01

    If you're new to ActionScript 3.0, or want to enhance your skill set, this bestselling book is the ideal guide. Designers, developers, and programmers alike will find Learning ActionScript 3.0 invaluable for navigating ActionScript 3.0's learning curve. You'll learn the language by getting a clear look at essential topics such as logic, event handling, displaying content, classes, and much more. Updated for Flash Professional CS5, this revised and expanded edition delivers hands-on exercises and full-color code samples to help you increase your abilities as you progress through the book. Top

  2. Differential Topic Models.

    Science.gov (United States)

    Chen, Changyou; Buntine, Wray; Ding, Nan; Xie, Lexing; Du, Lan

    2015-02-01

    In applications we may want to compare different document collections: they could have shared content but also different and unique aspects in particular collections. This task has been called comparative text mining or cross-collection modeling. We present a differential topic model for this application that models both topic differences and similarities. For this we use hierarchical Bayesian nonparametric models. Moreover, we found it was important to properly model power-law phenomena in topic-word distributions and thus we used the full Pitman-Yor process rather than just a Dirichlet process. Furthermore, we propose the transformed Pitman-Yor process (TPYP) to incorporate prior knowledge such as vocabulary variations in different collections into the model. To deal with the non-conjugate issue between model prior and likelihood in the TPYP, we thus propose an efficient sampling algorithm using a data augmentation technique based on the multinomial theorem. Experimental results show the model discovers interesting aspects of different collections. We also show the proposed MCMC based algorithm achieves a dramatically reduced test perplexity compared to some existing topic models. Finally, we show our model outperforms the state-of-the-art for document classification/ideology prediction on a number of text collections.

  3. Using an Active-Learning Approach to Teach Epigenetics

    Science.gov (United States)

    Colon-Berlingeri, Migdalisel

    2010-01-01

    Epigenetics involves heritable changes in gene expression that do not involve alterations in the DNA sequence. I developed an active-learning approach to convey this topic to students in a college genetics course. I posted a brief summary of the topic before class to stimulate exchange in cooperative groups. During class, we discussed the…

  4. Ready to learn physics: a team-based learning model for first year university

    Science.gov (United States)

    Parappilly, Maria; Schmidt, Lisa; De Ritter, Samantha

    2015-09-01

    Team-based learning (TBL) is an established model of group work which aims to improve students' ability to apply discipline-related content. TBL consists of a readiness assurance process (RAP), student groups and application activities. While TBL has not been implemented widely in science, technology, engineering and mathematics disciplines, it has been effective in improving student learning in other disciplines. This paper describes the incorporation of TBL activities into a non-calculus based introductory level physics topic—Physics for the Modern World. Students were given pre-class preparation materials and an individual RAP online test before the workshops. The pre-workshop individual RAP test ensured that all students were exposed to concept-based questions before their workshops and motivated them to use the preparatory materials in readiness for the workshop. The students were placed into random teams and during the first part of the workshop, the teams went through a subset of the quiz questions (team RAP test) and in the remaining time, teams completed an in-class assignment. After the workshop students were allowed another attempt at the individual RAP test to see if their knowledge had improved. The ability of TBL to promote student learning of key concepts was evaluated by experiment using pre- and post- testing. The students’ perception of TBL was monitored by discussion posts and survey responses. Finally, the ability of TBL to support peer-peer interaction was evaluated by video analysis of the class. We found that the TBL process improved student learning; students did interact with each other in class; and the students had a positive view of TBL. To assess the transferability of this model to other topics, we conducted a comparison study with an environmental science topic which produced similar results. Our study supports the use of this TBL model in science topics.

  5. Bootcamp EMMA MOOC Assessment for learning in practice

    NARCIS (Netherlands)

    Firssova, Olga; Brouns, Francis

    2016-01-01

    At the EDEN Conference an introduction to the EMMA platform will be combined with learning activities relevant to the topic of Formative Assessment. EDEN conference participants will have an opportunity to join the MOOC prior to the conference or at the conference. A range of learning activities

  6. Competencies in Organizational E-Learning: Concepts and Tools

    Science.gov (United States)

    Sicilia, Miguel-Angel, Ed.

    2007-01-01

    "Competencies in Organizational E-Learning: Concepts and Tools" provides a comprehensive view of the way competencies can be used to drive organizational e-learning, including the main conceptual elements, competency gap analysis, advanced related computing topics, the application of semantic Web technologies, and the integration of competencies…

  7. Structural Learning Theory: Current Status and New Perspectives.

    Science.gov (United States)

    Scandura, Joseph M.

    2001-01-01

    Presents the current status and new perspectives on the Structured Learning Theory (SLT), with special consideration given to how SLT has been influenced by recent research in software engineering. Topics include theoretical constructs; content domains; structural analysis; cognition; assessing behavior potential; and teaching and learning issues,…

  8. Analyses of Research Topics in the Field of Informetrics Based on the Method of Topic Modeling

    OpenAIRE

    Sung-Chien Lin

    2014-01-01

    In this study, we used the approach of topic modeling to uncover the possible structure of research topics in the field of Informetrics, to explore the distribution of the topics over years, and to compare the core journals. In order to infer the structure of the topics in the field, the data of the papers published in the Journal of Informetricsand Scientometrics during 2007 to 2013 are retrieved from the database of the Web of Science as input of the approach of topic modeling. The results ...

  9. Analyses of Research Topics in the Field of Informetrics Based on the Method of Topic Modeling

    Directory of Open Access Journals (Sweden)

    Sung-Chien Lin

    2014-07-01

    Full Text Available In this study, we used the approach of topic modeling to uncover the possible structure of research topics in the field of Informetrics, to explore the distribution of the topics over years, and to compare the core journals. In order to infer the structure of the topics in the field, the data of the papers published in the Journal of Informetricsand Scientometrics during 2007 to 2013 are retrieved from the database of the Web of Science as input of the approach of topic modeling. The results of this study show that when the number of topics was set to 10, the topic model has the smallest perplexity. Although data scopes and analysis methodsare different to previous studies, the generating topics of this study are consistent with those results produced by analyses of experts. Empirical case studies and measurements of bibliometric indicators were concerned important in every year during the whole analytic period, and the field was increasing stability. Both the two core journals broadly paid more attention to all of the topics in the field of Informetrics. The Journal of Informetricsput particular emphasis on construction and applications ofbibliometric indicators and Scientometrics focused on the evaluation and the factors of productivity of countries, institutions, domains, and journals.

  10. Topical treatments of skin pain: a general review with a focus on hidradenitis suppurativa with topical agents.

    Science.gov (United States)

    Scheinfeld, Noah

    2014-07-15

    Hidradenitis Supprurativa (HS) is a painful chronic follicular disease. Few papers have addressed pain control for this debilitating condition. Possible topical agents include tricyclic antidepressants, opioids, anticonvulsants, NSAIDs, NMDA receptor antagonists, local anesthetics and other agents. The first line agents for the topical treatment of the cutaneous pain of HS are diclonefac gel 1% and liposomal xylocaine 4% and 5% cream or 5% ointment. The chief advantage of topical xylocaine is that is quick acting i.e. immediate however with a limited duration of effect 1-2 hours. The use of topical ketamine, which blocks n-methyl-D-aspartate receptors in a non-competitive fashion, might be a useful tool for the treatment of HS pain. Topical doxepin, which available in a 5% commercially preparation (Zonalon®) , makes patients drowsy and is not useful for controlling the pain of HS . Doxepin is available in a 3% or 3.3% concentration (which causes less drowsiness) from compounding pharmacies and can be used in compounded analgesic preparations with positive effect. Topical doxepin is preferred over use of topical amitriptyline because topical doxepin is more effective. Nevertheless, topical amitriptyline increase of the tactile and mechanical nociceptive thresholds and can be used for topical pain control in compound mixture of analgesics . Gabapentin and pregablin can also be used compounded with other agents in topical analgesic preparations with positive topical anesthetic effect. Capsaicin is not useful for topical treatment of the pain of HS. Sometimes compounded of anesthetics medications such as ketamine 10%, bupivacaine 1%, diclofenac 3%, doxepin 3% or 3.3%, and gabapentin 6% can extend the duration of effect so that medication only needs to be used 2 or 3 times a day. Still in my experience the easiest to get and most patient requested agent is topical diclonefac 1% gel.

  11. Emotional Presence in Online Learning Scale: A Scale Development Study

    Science.gov (United States)

    Sarsar, Firat; Kisla, Tarik

    2016-01-01

    Although emotions are not a new topic in learning environments, the emerging technologies have changed not only the type of learning environments but also the perspectives of emotions in learning environments. This study designed to develop a survey to assist online instructors to understand students' emotional statement in online learning…

  12. Integrating nanophotonic concepts and topics into optics curricula

    Science.gov (United States)

    Sonek, Gregory J.

    2007-06-01

    Nanophotonics has emerged as a new and important field of study, not only in research, but also in undergraduate optics and photonics education and training. Beyond the study of classical and quantum optics, it is important for students to learn about how the flow of light can be manipulated on a nanoscale level, and used in applications such as telecommunications, imaging, and medicine. This paper reports on our work to integrate basic nanophotonic concepts and topics into existing optics and optical electronics courses, as well as independent study projects, at the undergraduate level. Through classroom lectures, topical readings, computer modeling exercises, and laboratory experiments, students are introduced to nanophotonic concepts subsequent to a study of physical and geometrical optics. A compare and contrast methodology is employed to help students identify similarities and differences that exist in the optical behavior of bulk and nanostructured media. Training is further developed through engineering design and simulation exercises that use advanced, vector-diffraction-based, modeling software for simulating the performance of various materials and structures. To date, the addition of a nanophotonics component to the optics curriculum has proven successful, been enthusiastically received by students, and should serve as a basis for further course development efforts that emphasize the combined capabilities of nanotechnology and photonics.

  13. Unsupervised learning algorithms

    CERN Document Server

    Aydin, Kemal

    2016-01-01

    This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest include anomaly detection, clustering,...

  14. Formalized informal learning

    DEFF Research Database (Denmark)

    Levinsen, Karin; Sørensen, Birgitte Holm

    2011-01-01

    and other relevant stakeholders, as well as participant observations in the classroom documented by thick descriptions, formal and informal interviews and focus group interviews. The aim of the study was to explore and identify relations between designs for teaching and learning and the students' learning......This paper presents findings from a large-scale longitudinal, qualitative study - Project ICT and Learning (PIL) - that engaged the participation of eight primary schools in Denmark, and was conducted between 2006 and 2008. The research design was based on action research, involving teachers...... of school subjects within defined learning goals and curricula, along with various implementations of ICT in the pedagogical everyday practice (Levinsen & Sørensen 2008). However, another research strand - the topic of this paper - emerged during the project's life cycle as a consequence of ongoing changes...

  15. Implementation of Simulation Based-Concept Attainment Method to Increase Interest Learning of Engineering Mechanics Topic

    Science.gov (United States)

    Sultan, A. Z.; Hamzah, N.; Rusdi, M.

    2018-01-01

    The implementation of concept attainment method based on simulation was used to increase student’s interest in the subjects Engineering of Mechanics in second semester of academic year 2016/2017 in Manufacturing Engineering Program, Department of Mechanical PNUP. The result of the implementation of this learning method shows that there is an increase in the students’ learning interest towards the lecture material which is summarized in the form of interactive simulation CDs and teaching materials in the form of printed books and electronic books. From the implementation of achievement method of this simulation based concept, it is noted that the increase of student participation in the presentation and discussion as well as the deposit of individual assignment of significant student. With the implementation of this method of learning the average student participation reached 89%, which before the application of this learning method only reaches an average of 76%. And also with previous learning method, for exam achievement of A-grade under 5% and D-grade above 8%. After the implementation of the new learning method (simulation based-concept attainment method) the achievement of Agrade has reached more than 30% and D-grade below 1%.

  16. Organisational learning in professional discourses.

    Directory of Open Access Journals (Sweden)

    Martin Sedláček

    2012-06-01

    Full Text Available Authors of the paper discuss the concept of organisational learning. Theyrefer to a wide range of definitions and concepts, point out some differences from related or analogous concepts used, such as knowledge management and learning organisation. They note the discussions that relate to key topics. These discussions concern levels at which organisational learning can take place, the effect on behaviour organisational performance. The following section of this article presents organisational learning as a process and describes the stages of organisational learning. The purpose of the article is to provide an overview of efforts to define organisational learning, including criticism of the results of this effort. The last partis devoted to selected theories and empirical findings on organisational learning atschool. The authors stress the importance of organisational learning for schools asspecific organisations and express request to examine the processes of organisational learning in this context.

  17. Digital Competence Model of Distance Learning Students

    Science.gov (United States)

    da Silva, Ketia Kellen A.; Behar, Patricia A.

    2017-01-01

    This article presents the development of a digital competency model of Distance Learning (DL) students in Brazil called CompDigAl_EAD. The following topics were addressed in this study: Educational Competences, Digital Competences, and Distance Learning students. The model was developed between 2015 and 2016 and is being validated in 2017. It was…

  18. Improving Classroom Learning by Collaboratively Observing Human Tutoring Videos while Problem Solving

    Science.gov (United States)

    Craig, Scotty D.; Chi, Michelene T. H.; VanLehn, Kurt

    2009-01-01

    Collaboratively observing tutoring is a promising method for observational learning (also referred to as vicarious learning). This method was tested in the Pittsburgh Science of Learning Center's Physics LearnLab, where students were introduced to physics topics by observing videos while problem solving in Andes, a physics tutoring system.…

  19. Implementation of Problem-Based Learning in Environmental Chemistry

    Science.gov (United States)

    Jansson, Stina; So¨derstro¨m, Hanna; Andersson, Patrik L.; Nording, Malin L.

    2015-01-01

    Environmental Chemistry covers a range of topics within the discipline of chemistry, from toxicology to legislation, which warrants interdisciplinary study. Consequently, problem-based learning (PBL), a style of student-centered learning which facilitates the integration of multiple subjects, was investigated to determine if it would be a more…

  20. Modern machine learning techniques and their applications in cartoon animation research

    CERN Document Server

    Yu, Jun

    2013-01-01

    The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn the latest machine learning techniques, including patch alignment framework; spectral clustering, graph cuts, and convex relaxation; ensemble manifold learning; multiple kernel learning; multiview subspace learning; and multiview distance metric learning. It then presents the applications of these modern machine learning techniques in cartoon animation research. With these techniques, users can efficiently utilize the cartoon materials to generate animations

  1. Topical steroid-damaged skin

    Directory of Open Access Journals (Sweden)

    Anil Abraham

    2014-01-01

    Full Text Available Topical steroids, commonly used for a wide range of skin disorders, are associated with side effects both systemic and cutaneous. This article aims at bringing awareness among practitioners, about the cutaneous side effects of easily available, over the counter, topical steroids. This makes it important for us as dermatologists to weigh the usefulness of topical steroids versus their side effects, and to make an informed decision regarding their use in each individual based on other factors such as age, site involved and type of skin disorder.

  2. Mental Mechanisms for Topics Identification

    Directory of Open Access Journals (Sweden)

    Louis Massey

    2014-01-01

    Full Text Available Topics identification (TI is the process that consists in determining the main themes present in natural language documents. The current TI modeling paradigm aims at acquiring semantic information from statistic properties of large text datasets. We investigate the mental mechanisms responsible for the identification of topics in a single document given existing knowledge. Our main hypothesis is that topics are the result of accumulated neural activation of loosely organized information stored in long-term memory (LTM. We experimentally tested our hypothesis with a computational model that simulates LTM activation. The model assumes activation decay as an unavoidable phenomenon originating from the bioelectric nature of neural systems. Since decay should negatively affect the quality of topics, the model predicts the presence of short-term memory (STM to keep the focus of attention on a few words, with the expected outcome of restoring quality to a baseline level. Our experiments measured topics quality of over 300 documents with various decay rates and STM capacity. Our results showed that accumulated activation of loosely organized information was an effective mental computational commodity to identify topics. It was furthermore confirmed that rapid decay is detrimental to topics quality but that limited capacity STM restores quality to a baseline level, even exceeding it slightly.

  3. Scene recognition based on integrating active learning with dictionary learning

    Science.gov (United States)

    Wang, Chengxi; Yin, Xueyan; Yang, Lin; Gong, Chengrong; Zheng, Caixia; Yi, Yugen

    2018-04-01

    Scene recognition is a significant topic in the field of computer vision. Most of the existing scene recognition models require a large amount of labeled training samples to achieve a good performance. However, labeling image manually is a time consuming task and often unrealistic in practice. In order to gain satisfying recognition results when labeled samples are insufficient, this paper proposed a scene recognition algorithm named Integrating Active Learning and Dictionary Leaning (IALDL). IALDL adopts projective dictionary pair learning (DPL) as classifier and introduces active learning mechanism into DPL for improving its performance. When constructing sampling criterion in active learning, IALDL considers both the uncertainty and representativeness as the sampling criteria to effectively select the useful unlabeled samples from a given sample set for expanding the training dataset. Experiment results on three standard databases demonstrate the feasibility and validity of the proposed IALDL.

  4. Metacognitive awareness of learning strategies in undergraduates.

    Science.gov (United States)

    McCabe, Jennifer

    2011-04-01

    Two studies examined undergraduates' metacognitive awareness of six empirically-supported learning strategies. Study 1 results overall suggested an inability to predict the learning outcomes of educational scenarios describing the strategies of dual-coding, static-media presentations, low-interest extraneous details, testing, and spacing; there was, however, weak endorsement of the strategy of generating one's own study materials. In addition, an independent measure of metacognitive self-regulation was correlated with scenario performance. Study 2 demonstrated higher prediction accuracy for students who had received targeted instruction on applied memory topics in their psychology courses, and the best performance for those students directly exposed to the original empirical studies from which the scenarios were derived. In sum, this research suggests that undergraduates are largely unaware of several specific strategies that could benefit memory for course information; further, training in applied learning and memory topics has the potential to improve metacognitive judgments in these domains.

  5. Debate preparation/participation: an active, effective learning tool.

    Science.gov (United States)

    Koklanaris, Nikki; MacKenzie, Andrew P; Fino, M Elizabeth; Arslan, Alan A; Seubert, David E

    2008-01-01

    Passive educational techniques (such as lectures) are thought to be less productive than active learning. We examined whether preparing for and participating in a debate would be an effective, active way to learn about a controversial topic. We compared quiz performance in residents who attended a lecture to residents who prepared for/participated in a debate. Twelve residents each participated in one lecture session and one debate session. Learning was evaluated via a quiz. Quizzes were given twice: before the debate/lecture and 1 week after the debate/lecture. Quiz scores were compared using repeated measures analysis of variance, with a p value of debating was given to all participants. There was a statistically significant difference in the pretest mean quiz score between the debate and lecture groups: 78.3% and 52.5%, respectively (p = .02). Similarly, on posttest quizzes, the average debater scored 85.8%, versus 61.7% for the lecture group (p = .003). Although no one in the debate group scored lower on a follow-up quiz, 3 residents in the lecture group did worse on follow-up. When learning about a controversial topic, residents who prepared for/participated in a debate achieved higher quiz scores and were better at retaining information than those who attended a lecture. When faced with teaching a controversial topic, organizing a debate may be more effective than giving a lecture.

  6. Topical versus Chronological Organization of Lifespan Development: Does It Make a Difference in Student Retention and Understanding?

    Science.gov (United States)

    Spangler, Brooke R.; Kiel, Elizabeth J.

    2015-01-01

    This study aimed to determine whether taking a chronological approach (CA) or topical approach (TA) to teaching developmental psychology resulted in different learning outcomes. Across two semesters, in four classes, 354 students participated (M[subscript age] = 19.76, SD[subscript age] = 2.93 years), 66% identifying as female. One instructor…

  7. The development of mathematics courseware for learning line and angle

    Science.gov (United States)

    Halim, Noor Dayana Abd; Han, Ong Boon; Abdullah, Zaleha; Yusup, Junaidah

    2015-05-01

    Learning software is a teaching aid which is often used in schools to increase students' motivation, attract students' attention and also improve the quality of teaching and learning process. However, the development of learning software should be followed the phases in Instructional Design (ID) Model, therefore the process can be carried out systematic and orderly. Thus, this concept paper describes the application of ADDIE model in the development of mathematics learning courseware for learning Line and Angle named CBL-Math. ADDIE model consists of five consecutive phases which are Analysis, Design, Development, Implementation and Evaluation. Each phase must be properly planned in order to achieve the objectives stated. Other than to describe the processes occurring in each phase, this paper also demonstrating how cognitive theory of multimedia learning principles are integrated in the developed courseware. The principles that applied in the courseware reduce the students' cognitive load while learning the topic of line and angle. With well prepared development process and the integration of appropriate principles, it is expected that the developed software can help students learn effectively and also increase students' achievement in the topic of Line and Angle.

  8. Using Problem Based Learning and Game Design to motivate Non-technical Students to engage in Technical Learning

    DEFF Research Database (Denmark)

    Reng, Lars; Schoenau-Fog, Henrik

    2010-01-01

    technology, a broader segment of students are consequently enrolled. One of the challenges of these new educations is to motivate the artistic minded students in learning the technical aspects of the curriculum, as they need these qualifications to work in the industry. At Aalborg University’s department...... have engaged and motivated artistic students to learn technical topics on their own....... of Medialogy, we employ problem based learning and game design to engage these students in learning the technical elements. This paper will describe our approach and exemplify the method by introducing various examples of student projects, where the interest in game design combined with problem based learning...

  9. Assessment of topical microbicides to prevent HIV-1 transmission: concepts, testing, lessons learned.

    Science.gov (United States)

    Friend, David R; Kiser, Patrick F

    2013-09-01

    The development of topically applied products capable of preventing vaginal and rectal transmission of HIV-1 has been on-going for nearly 20 years. Despite this, only one clinical trial has demonstrated protection against sexual transmission of HIV-1 in women. This review covers the development of microbicides, also referred to as topical pre-exposure prophylaxis (PrEP), through three stages. The first stage focused on nonspecific agents, including surfactants such as nonoxynol-9 (N-9), to prevent HIV-1 transmission. Unfortunately, N-9 enhanced susceptibility to sexual transmission of HIV-1 when evaluated for efficacy. Soon thereafter, other nonspecific agents (polyanions) were quickly moved into large efficacy trials. Due to a lack of coordination among investigators and funders, a large investment was made in a class of compounds shown ultimately to be ineffective, although poor adherence may have contributed to these findings. The second stage involved the assessment of the antiretroviral drug tenofovir, formulated as a vaginal gel, which was found to be modestly effective in a Phase IIb trial (CAPRISA-004) when dosed in a coitally-dependent manner. In another Phase IIb trial, VOICE (MTN-003), tenofovir gel was found to be ineffective when dosed once-daily in a coitally-independent manner. Based on pharmacokinetic data, it was concluded the participants were poorly adherent to this dosing regimen, leading to a lack of efficacy. Tenofovir gel is currently in a Phase III safety and efficacy trial in South Africa (FACTS-001), using the coitally-dependent dosing regimen employed in CAPRISA-004. We are now in the third stage of microbicide research. The antiretroviral drug dapivirine is currently in two Phase III safety and efficacy studies formulated as a vaginal ring. It is hoped that the once-monthly dosing regimen will lead to higher adherence than found in the VOICE study. It is now clear that product adherence could be the greatest challenge to demonstrating

  10. Video Content Search System for Better Students Engagement in the Learning Process

    Directory of Open Access Journals (Sweden)

    Alanoud Alotaibi

    2014-12-01

    Full Text Available As a component of the e-learning educational process, content plays an essential role. Increasingly, the video-recorded lectures in e-learning systems are becoming more important to learners. In most cases, a single video-recorded lecture contains more than one topic or sub-topic. Therefore, to enable learners to find the desired topic and reduce learning time, e-learning systems need to provide a search capability for searching within the video content. This can be accomplished by enabling learners to identify the video or portion that contains a keyword they are looking for. This research aims to develop Video Content Search system to facilitate searching in educational videos and its contents. Preliminary results of an experimentation were conducted on a selected university course. All students needed a system to avoid time-wasting problem of watching long videos with no significant benefit. The statistics showed that the number of learners increased during the experiment. Future work will include studying impact of VCS system on students’ performance and satisfaction.

  11. EkSTEMiT Learning Module and Inculcation of Inventive Thinking

    Directory of Open Access Journals (Sweden)

    Norhaslinda Abdul Samad

    2017-10-01

    Full Text Available The young generation of today must be prepared with the knowledge and skills necessary to be able to compete globally thus boosting economic growth and prosperity. Therefore, students should not only be equipped with knowledge but they are in need of the “21st century skills”, which is the top priority and one of the main education agenda goals today. As one of the domains in the 21st century skills, inventive thinking includes elements of flexibility, self-regulation, curiosity, creativity, risk taking, higher order thinking and reasoning. In order to inculcate inventive thinking for students, the EkSTEMiT Learning Module was developed for the topic Electrochemistry; one of the most difficult topics to learn among students. EkSTEMiT Learning Module was developed based on the STEM (Science, Technology, Engineering and Mathematics integrated model. Thus, this paper will discuss the conceptual framework underlying the development of EkSTEMiT Learning Module with descriptions of learning activities designed for Electrochemistry.

  12. A Case Study of Designing an E-learning Electrical Engineering Course

    Directory of Open Access Journals (Sweden)

    Sameer Hanna Khader

    2012-08-01

    Full Text Available Abstract: This paper presents a case study of designing an e-learning course in the field of electrical engineering- Industrial automation program at Palestine Polytechnic University. The applied methodology consisting of few stages starting with formulating the major course objectives, extracting topics outcomes, design the appropriate teaching tools and storyboard, and as final stage the evaluation system is designed. On other hand, an information communication technology (ICT questionnaire has been designed and targeting attended in the course students with purpose evaluating student ICT knowledge, knowledge leveling, and treatment their weaknesses. The designed topics are modified according to feedback evaluation obtained from students throughout designed for this purpose questionnaire. The observed weaknesses in course topics have been eliminated and finally the modified course was uploaded to the university e-learning platform. Electrical engineering core course with 300 level was carried out for department students, where the obtained results shows significant enhancement in teaching and learning performances of both course instructors and students.

  13. E-learning in sexuality education.

    Science.gov (United States)

    Weerakoon, Patricia

    2003-01-01

    The use of computers in learning and communication is not new to health professional education. However, the rapid developments in technology and the increasing competence of students in computer- and web-based learning make the need for health professional education to take the next step to e-learning a necessity rather than a choice. This paper describes an e-learning unit in sexuality developed in response to a felt need for a flexible online unit in the topic. The use of online tools for e-learning in sexuality are discussed and course evaluation presented. The need for a strong pedagogic model and the careful development of learning activities to utilize the facilities available for assessment, feedback and especially synchronous and asynchronous communication are discussed as they apply to the sexuality unit.

  14. Connecting Music, Art, and Science for Increased Creativity and Topic Engagement

    Directory of Open Access Journals (Sweden)

    Tamara L. McNealy

    2013-08-01

    Full Text Available ‘Attention spans have shortened,’ is a common phrase often used in reference to today’s college students. As faculty and instructors, we need to address this issue through the utilization of innovative and creative techniques that aid in making our subjects accessible to our students. Connecting a serious topic such as microbiology with a ‘fun’ activity can increase student engagement and learning. Ideas to maintain student attention on a subject include providing information in 15- to 20-minute blocks, giving one- to two-minute assignments, and providing an active learning activity at least once per hour. But what if we could also increase their engagement with science by connecting it to things they already think of outside of class, and, in addition, make science thinking interdisciplinary? I have recently introduced exercises that connect music and art to various microbiology topics in my class. The creative processes in art and science have much in common. Albert Einstein recognized that both science and art delve into the mysterious by stating, “The most beautiful thing we can experience is the mysterious. It is the source of all true art and all science” (1. Connecting these subjects in the minds of our students will help them realize the importance of technology, industry, and progress in science and simultaneously emphasize the importance of art, music, and the humanities. The tools presented here will encourage students to connect new science information through the music and art they already know and, therefore, provide increased engagement and retention of the new knowledge. These techniques used in a microbiology class increased the amount of time spent thinking about new information, increased engagement with the information being presented, and encouraged critical thinking of microbiology topics. These tools were used in an upper level microbiology course, but the techniques can be easily incorporated into any course

  15. Topical Treatment of Degenerative Knee Osteoarthritis.

    Science.gov (United States)

    Meng, Zengdong; Huang, Rongzhong

    2018-01-01

    This article reviews topical management strategies for degenerative osteoarthritis (OA) of the knee. A search of Pubmed, Embase and the Cochrane library using MeSH terms including "topical," "treatment," "knee" and "osteoarthritis" was carried out. Original research and review articles on the effectiveness and safety, recommendations from international published guidelines and acceptability studies of topical preparations were included. Current topical treatments included for the management of knee OA include topical nonsteroidal anti-inflammatory drugs, capsaicin, salicylates and physical treatments such as hot or cold therapy. Current treatment guidelines recommend topical nonsteroidal anti-inflammatory drugs as an alternative and even first-line therapy for OA management, especially among elderly patients. Guidelines on other topical treatments vary, from recommendations against their use, to in favor as alternative or simultaneous therapy, especially for patients with contraindications to other analgesics. Although often well-tolerated and preferred by many patients, clinical care still lags in the adoption of topical treatments. Aspects of efficacy, safety and patient quality of life data require further research. Copyright © 2018 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.

  16. Topical treatment of psoriasis: questionnaire results on topical therapy accessibility and influence of body surface area on usage.

    Science.gov (United States)

    Iversen, L; Lange, M M; Bissonette, R; Carvalho, A V E; van de Kerkhof, P C; Kirby, B; Kleyn, C E; Lynde, C W; van der Walt, J M; Wu, J J

    2017-07-01

    Topical treatment of mild to moderate psoriasis is first-line treatment and exhibits varying degrees of success across patient groups. Key factors influencing treatment success are physician topical treatment choice (high efficacy, low adverse events) and strict patient adherence. Currently, no formalized, international consensus guidelines exist to direct optimal topical treatment, although many countries have national guidelines. To describe and analyse cross-regional variations in the use and access of psoriasis topical therapies. The study was conducted as an observational cross-sectional study. A survey was distributed to dermatologists from the International Psoriasis Council (IPC) to assess topical therapy accessibility in 26 countries and to understand how body surface area (BSA) categories guide clinical decisions on topical use. Variation in the availability of tars, topical retinoids, dithranol and balneotherapy was reported. The vast majority of respondents (100% and 88.4%) used topical therapy as first-line monotherapy in situations with BSA 10%, the number of respondents who prescribe topical therapy decreased considerably. In addition, combination therapy of a topical drug and a systemic drug was frequently reported when BSA measured >10%. This physician survey provides new evidence on topical access and the influence of disease severity on topical usage in an effort to improve treatment strategies on a global level. © 2017 European Academy of Dermatology and Venereology.

  17. Android worksheet application based on discovery learning on students' achievement for vocational high school: Mechanical behavior of materials topics

    Science.gov (United States)

    Nanto, Dwi; Aini, Anisa Nurul; Mulhayatiah, Diah

    2017-05-01

    This research reports a study of student worksheet based on discovery learning on Mechanical Behavior of Materials topics under Android application (Android worksheet application) for vocational high school. The samples are Architecture class X students of SMKN 4 (a public vocational high school) in Tangerang Selatan City, province of Banten, Indonesia. We made 3 groups based on Intellectual Quotient (IQ). They are average IQ group, middle IQ group and high IQ group. The method of research is used as a quasi-experimental design with nonequivalent control group design. The technique of sampling is purposive sampling. Instruments used in this research are test instruments and non-test instruments. The test instruments are IQ test and test of student's achievement. For the test of student's achievement (pretest and posttest) we provide 25 multiple choice problems. The non-test instruments are questionnaire responses by the students and the teacher. Without IQ categorized, the result showed that there is an effect of Android worksheet application on student's achievement based on cognitive aspects of Revised Bloom's Taxonomy. However, from the IQ groups point of view, only the middle IQ group and the high IQ group showed a significant effect from the Android worksheet application on student's achievement meanwhile for the average IQ group there was no effect.

  18. Second Language Learning Motivation

    Directory of Open Access Journals (Sweden)

    Alvyda Liuolienė

    2011-04-01

    Full Text Available The paper deals with the peculiarities of ESP learning motivation. The meaning of motivation and three main approaches to motivational psychology: expectancy-value theory, goal-directed theory and the self-determination theory are presented, two distinct orientations for learning a language: integrative and instrumental are described in the paper. The importance of needs analysis to ESP learning is stressed and the main conditions (interest in the topic and activity; relevance to the students’ lives; expectancy of success and feelings of being in control and satisfaction in the outcome for motivation are described. The skills that ESP learners need to develop are specified. The description of approaches to motivational psychology is proposed, as motivation is of great significance in foreign language learning.

  19. Tutors' Influence on Distance Language Students' Learning Motivation: Voices from Learners and Tutors

    Science.gov (United States)

    Xiao, Junhong

    2012-01-01

    Teachers' influence on students' learning motivation is a well-researched topic. Nevertheless, the majority of such studies are situated in the conventional learning context despite the rapid growth of distance language learning. This study set out to investigate tutors' influence on students' learning motivation in the Chinese distance language…

  20. Social media for informal science learning in China: A case study

    Directory of Open Access Journals (Sweden)

    Ke Zhang

    2014-09-01

    Full Text Available This article reports a case study on a popular informal science learning community via social media in China, named GuoKr (meaning “nutshell” in English. Data were collected through a variety of Chinese social media and social networking sites, web-based community portals, and discussion boards. Content analyses and data mining were conducted to investigate how GuoKr successfully attracted and engaged public in informal learning on scientific topics in particular. The study found three key characteristics that contributed to the success of such learning communities: (a utilizing a variety of social media to empower participants with just-in-time, accidental learning opportunities; (b daily tweets related to emerging or ongoing social events or hot topics to provide brief but intriguing knowledge “bites”, which often leads to extended readings and related resources; and (c the integration of social media and traditional face-to-face local events to engage the public in science-related learning and knowledge sharing. Practical and research implications are discussed with suggestions for future research as related to ubiquitous learning communities for informal science learning.

  1. Topical botulinum toxin.

    Science.gov (United States)

    Collins, Ashley; Nasir, Adnan

    2010-03-01

    Nanotechnology is a rapidly growing discipline that capitalizes on the unique properties of matter engineered on the nanoscale. Vehicles incorporating nanotechnology have led to great strides in drug delivery, allowing for increased active ingredient stability, bioavailability, and site-specific targeting. Botulinum toxin has historically been used for the correction of neurological and neuromuscular disorders, such as torticollis, blepharospasm, and strabismus. Recent dermatological indications have been for the management of axillary hyperhydrosis and facial rhytides. Traditional methods of botulinum toxin delivery have been needle-based. These have been associated with increased pain and cost. Newer methods of botulinum toxin formulation have yielded topical preparations that are bioactive in small pilot clinical studies. While there are some risks associated with topical delivery, the refinement and standardization of delivery systems and techniques for the topical administration of botulinum toxin using nanotechnology is anticipated in the near future.

  2. E-Learning System for Design and Construction of Amplifier Using Transistors

    Science.gov (United States)

    Takemura, Atsushi

    2014-01-01

    This paper proposes a novel e-Learning system for the comprehensive understanding of electronic circuits with transistors. The proposed e-Learning system allows users to learn a wide range of topics, encompassing circuit theories, design, construction, and measurement. Given the fact that the amplifiers with transistors are an integral part of…

  3. Space Operations Learning Center

    Science.gov (United States)

    Lui, Ben; Milner, Barbara; Binebrink, Dan; Kuok, Heng

    2012-01-01

    The Space Operations Learning Center (SOLC) is a tool that provides an online learning environment where students can learn science, technology, engineering, and mathematics (STEM) through a series of training modules. SOLC is also an effective media for NASA to showcase its contributions to the general public. SOLC is a Web-based environment with a learning platform for students to understand STEM through interactive modules in various engineering topics. SOLC is unique in its approach to develop learning materials to teach schoolaged students the basic concepts of space operations. SOLC utilizes the latest Web and software technologies to present this educational content in a fun and engaging way for all grade levels. SOLC uses animations, streaming video, cartoon characters, audio narration, interactive games and more to deliver educational concepts. The Web portal organizes all of these training modules in an easily accessible way for visitors worldwide. SOLC provides multiple training modules on various topics. At the time of this reporting, seven modules have been developed: Space Communication, Flight Dynamics, Information Processing, Mission Operations, Kids Zone 1, Kids Zone 2, and Save The Forest. For the first four modules, each contains three components: Flight Training, Flight License, and Fly It! Kids Zone 1 and 2 include a number of educational videos and games designed specifically for grades K-6. Save The Forest is a space operations mission with four simulations and activities to complete, optimized for new touch screen technology. The Kids Zone 1 module has recently been ported to Facebook to attract wider audience.

  4. Topical methotrexate pretreatment enhances the therapeutic effect of topical 5-aminolevulinic acid-mediated photodynamic therapy on hamster buccal pouch precancers.

    Science.gov (United States)

    Yang, Deng-Fu; Lee, Jeng-Woei; Chen, Hsin-Ming; Hsu, Yih-Chih

    2014-09-01

    Topical 5-aminolevulinic acid-mediated photodynamic therapy (ALA-PDT) is effective for treatment of human oral precancerous lesions. This animal study aimed to assess whether topical methotrexate (MTX) pretreatment could enhance the therapeutic effect of topical ALA-PDT on hamster buccal pouch precancerous lesions. Twenty hamster buccal pouch precancerous lesions were treated with either topical ALA-PDT with topical MTX pretreatment (topical MTX-ALA-PDT group, n = 10) or topical ALA-PDT alone (topical ALA-PDT group, n = 10). The intracellular protoporphyrin IX (PpIX) level in another 12 precancerous lesions (n = 6 for either the topical MTX-ALA or topical ALA group) was monitored by fluorescence spectroscopy. The intracellular PpIX reached its peak level in precancerous lesions 6.5 hours and 2.5 hours after topical ALA application for the topical MTX-ALA group (5.63-fold higher in the lesion than in the normal mucosa) and topical ALA group (2.42-fold higher in the lesion than in the normal mucosa), respectively. The complete response rate of precancerous lesions was 80% for the topical MTX-ALA-PDT group and 70% for the topical ALA-PDT group. In addition, the topical MTX-ALA-PDT group required a significantly lower mean treatment number (2.1 ± 0.6) to achieve complete response than the topical ALA-PDT group (4.4 ± 1.3, p topical MTX-ALA-PDT group had a lower recurrence rate (12.5%) than the topical ALA-PDT group (28.6%). We conclude that topical MTX-pretreatment can increase intracellular PpIX production in hamster buccal pouch precancerous lesions and significantly improves the outcomes of the precancerous lesions treated with topical ALA-PDT. Copyright © 2014. Published by Elsevier B.V.

  5. Key Concept Identification: A Comprehensive Analysis of Frequency and Topical Graph-Based Approaches

    Directory of Open Access Journals (Sweden)

    Muhammad Aman

    2018-05-01

    Full Text Available Automatic key concept extraction from text is the main challenging task in information extraction, information retrieval and digital libraries, ontology learning, and text analysis. The statistical frequency and topical graph-based ranking are the two kinds of potentially powerful and leading unsupervised approaches in this area, devised to address the problem. To utilize the potential of these approaches and improve key concept identification, a comprehensive performance analysis of these approaches on datasets from different domains is needed. The objective of the study presented in this paper is to perform a comprehensive empirical analysis of selected frequency and topical graph-based algorithms for key concept extraction on three different datasets, to identify the major sources of error in these approaches. For experimental analysis, we have selected TF-IDF, KP-Miner and TopicRank. Three major sources of error, i.e., frequency errors, syntactical errors and semantical errors, and the factors that contribute to these errors are identified. Analysis of the results reveals that performance of the selected approaches is significantly degraded by these errors. These findings can help us develop an intelligent solution for key concept extraction in the future.

  6. Reframing Teachers' Intercultural Learning as an Emotional Process

    Science.gov (United States)

    Jokikokko, Katri

    2016-01-01

    The importance of emotions in the process of intercultural learning has been recognised, but the topic has not been extensively theorised. This theoretical review article synthesises the research literature on emotions in the context of teachers' intercultural learning. The article argues that emotions are a vital part of any change, and thus play…

  7. Learning about Teaching the Extracurricular Topic of Nanotechnology as a Vehicle for Achieving a Sustainable Change in Science Education

    Science.gov (United States)

    Blonder, Ron; Mamlok-Naaman, Rachel

    2016-01-01

    This study focused on teachers' transfer of a variety of teaching methods from a teaching module on nanotechnology, which is an example of a topic outside the science curriculum, to teaching topics that are part of the chemistry curriculum. Nanotechnology is outside the science curriculum, but it was used in this study as a means to carry out a…

  8. Make2Learn: Fostering Engagement and Creativity in Learning through Making

    DEFF Research Database (Denmark)

    Giannakos, Michail N.; Divitini, Monica; Iversen, Ole Sejer

    2015-01-01

    by research- ers to introduce making principles to young students. Making principles enable them foster co-creativity and joy in learning processes and construct knowledge. By involving students in the design decisions they begin to develop technological fluency and the needed competences, in a joyful way....... Make2Learn aims to bring together international researchers, educators, designers, and makers for the ex- ploration of making principles towards the acquisition of 21st Century learning competences, by employing the state art aspects of entertainment technologies, new media, gaming, robotics, toys...... and applications. The main objective is to build a research community around this topical area. In particular, Make2Learn aims to develop a critical discussion about the well-established practices and en- tertainment technologies of the maker movement, and expected outcomes of put- ting them into practice under...

  9. Improving Students’ Motivation in Learning ICT Course With the Use of A Mobile Augmented Reality Learning Environment

    Science.gov (United States)

    Fahri Hanafi, Hafizul; Soh Said, Che; Helmy Wahab, Mohd; Samsuddin, Khairulanuar

    2017-08-01

    Studies have shown that many Malaysian non-technical students have low motivation in learning ICT course due to a number of reasons, such as a lack of learning practice and effective learning applications. In view of such a problem, the researchers carried out a quasi-experimental study to examine the impact of a novel mobile augmented reality learning application (MARLA) on students’ motivation in learning a topic of a university ICT course. The research was based on the pretest-posttest control group design, and the study sample consisted of 120 non-technical undergraduates majoring in social science, with a mean age of 19.5 years. They were divided into an experimental group and a control group. The dependent variable was students’ motivation in learning, and the independent variables were learning method and gender. The experimental group used MARLA on their mobile devices to learn one of the topics of the ICT Competency course, namely Computer System; whereas the control group used a similar application on their desktop computers. The Intrinsic Motivation Inventory (IMI) was the research instrument used to measure students’ motivation before and after learning sessions, which spanned 6 hours. Utilizing the SPSS (version 21), an analysis of covariance was performed, showing there was a main effect attributed to gender only, with male and female students attaining mean scores of 4.24 and 3.90 respectively for the motivation construct. This finding showed male students were more motivated than their opposite counterparts. In contrast, no such main effect attributed to learning method was observed, as evidenced from the mean scores of 4.08 and 4.07 of the experimental group and control group respectively for the measured construct, suggesting both methods were both equally effective. Additionally, there was an interaction effect between gender and learning method, with male students attaining different levels of motivation based on learning method. Arguably

  10. Analysis of Means for Building Context-Aware Recommendation System for Mobile Learning

    Science.gov (United States)

    Shcherbachenko, Larysa; Nowakowski, Samuel

    2017-01-01

    One of the rapidly developing tools for online learning is learning through a mobile environment. Therefore, developing and improving mobile learning environments is an active topic now. One of the ways to adapt the learning environment to the user's needs is to use his context. Context of the user consists of the current context in online…

  11. Learning automata an introduction

    CERN Document Server

    Narendra, Kumpati S

    2012-01-01

    This self-contained introductory text on the behavior of learning automata focuses on how a sequential decision-maker with a finite number of choices responds in a random environment. Topics include fixed structure automata, variable structure stochastic automata, convergence, 0 and S models, nonstationary environments, interconnected automata and games, and applications of learning automata. A must for all students of stochastic algorithms, this treatment is the work of two well-known scientists and is suitable for a one-semester graduate course in automata theory and stochastic algorithms.

  12. 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.

  13. Recent advances in topical anesthesia

    Science.gov (United States)

    2016-01-01

    Topical anesthetics act on the peripheral nerves and reduce the sensation of pain at the site of application. In dentistry, they are used to control local pain caused by needling, placement of orthodontic bands, the vomiting reflex, oral mucositis, and rubber-dam clamp placement. Traditional topical anesthetics contain lidocaine or benzocaine as active ingredients and are used in the form of solutions, creams, gels, and sprays. Eutectic mixtures of local anesthesia cream, a mixture of various topical anesthetics, has been reported to be more potent than other anesthetics. Recently, new products with modified ingredients and application methods have been introduced into the market. These products may be used for mild pain during periodontal treatment, such as scaling. Dentists should be aware that topical anesthetics, although rare, might induce allergic reactions or side effects as a result of an overdose. Topical anesthetics are useful aids during dental treatment, as they reduce dental phobia, especially in children, by mitigating discomfort and pain. PMID:28879311

  14. 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…

  15. INDIVIDUAL ABILITIES AND LIFELONG LEARNING

    Directory of Open Access Journals (Sweden)

    Oleksandr Yu. Burov

    2016-10-01

    Full Text Available This paper describes new and emerging technologies in education, learning environments and methods that have to satisfy lifelong learning, from school age to retirement, on the basis of the psychophysiological model of the cognitive abilities formation. It covers such topics as: evaluation of a human (accounting schoolchildren, youth and adults features abilities and individual propensities, individual trajectory of learning, adaptive learning strategy and design, recommendation on curriculum design, day-to-day support for individual’s learning, assessment of a human learning environment and performance, recommendation regards vocational retraining and/or further carrier etc.. The specific goal is to facilitate a broader understanding of the promise and pitfalls of these technologies and working (learning/teaching environments in global education/development settings, with special regard to the human as subject in the system and to the collaboration of humans and technical, didactic and organizational subsystems.

  16. Teaching Foreign Languages to Pupils with Specific Learning Disability

    OpenAIRE

    VOLDÁNOVÁ, Veronika

    2015-01-01

    This diploma thesis deals with the topic of specific learning disability. In the theoretical part I define the term specific learning disability and I mention the related terms. I deal with the history, types and causes of specific learning disability, further I describe the possibilities of diagnostics and re-education concerning specific learning disability. I also attend to the situation of a pupil in the family and school background. The main attention is especially paid to teaching forei...

  17. Topical anesthesia

    Directory of Open Access Journals (Sweden)

    Mritunjay Kumar

    2015-01-01

    Full Text Available Topical anesthetics are being widely used in numerous medical and surgical sub-specialties such as anesthesia, ophthalmology, otorhinolaryngology, dentistry, urology, and aesthetic surgery. They cause superficial loss of pain sensation after direct application. Their delivery and effectiveness can be enhanced by using free bases; by increasing the drug concentration, lowering the melting point; by using physical and chemical permeation enhancers and lipid delivery vesicles. Various topical anesthetic agents available for use are eutectic mixture of local anesthetics, ELA-max, lidocaine, epinephrine, tetracaine, bupivanor, 4% tetracaine, benzocaine, proparacaine, Betacaine-LA, topicaine, lidoderm, S-caine patch™ and local anesthetic peel. While using them, careful attention must be paid to their pharmacology, area and duration of application, age and weight of the patients and possible side-effects.

  18. Learning from induced changes in opponent (re)actions in multi-agent games

    NARCIS (Netherlands)

    P.J. 't Hoen (Pieter Jan); S.M. Bohte (Sander); J.A. La Poutré (Han)

    2005-01-01

    textabstractMulti-agent learning is a growing area of research. An important topic is to formulate how an agent can learn a good policy in the face of adaptive, competitive opponents. Most research has focused on extensions of single agent learning techniques originally designed for agents in more

  19. An Educational System for Learning Search Algorithms and Automatically Assessing Student Performance

    Science.gov (United States)

    Grivokostopoulou, Foteini; Perikos, Isidoros; Hatzilygeroudis, Ioannis

    2017-01-01

    In this paper, first we present an educational system that assists students in learning and tutors in teaching search algorithms, an artificial intelligence topic. Learning is achieved through a wide range of learning activities. Algorithm visualizations demonstrate the operational functionality of algorithms according to the principles of active…

  20. Problematic topic transitions in dysarthric conversation.

    Science.gov (United States)

    Bloch, Steven; Saldert, Charlotta; Ferm, Ulrika

    2015-01-01

    This study examined the nature of topic transition problems associated with acquired progressive dysarthric speech in the everyday conversation of people with motor neurone disease. Using conversation analytic methods, a video collection of five naturally occurring problematic topic transitions was identified, transcribed and analysed. These were extracted from a main collection of over 200 other-initiated repair sequences and a sub-set of 15 problematic topic transition sequences. The sequences were analysed with reference to how the participants both identified and resolved the problems. Analysis revealed that topic transition by people with dysarthria can prove problematic. Conversation partners may find transitions problematic not only because of speech intelligibility but also because of a sequential disjuncture between the dysarthric speech turn and whatever topic has come prior. In addition the treatment of problematic topic transition as a complaint reveals the potential vulnerability of people with dysarthria to judgements of competence. These findings have implications for how dysarthria is conceptualized and how specific actions in conversation, such as topic transition, might be suitable targets for clinical intervention.

  1. 76 FR 81806 - Ophthalmic and Topical Dosage Form New Animal Drugs; Ivermectin Topical Solution

    Science.gov (United States)

    2011-12-29

    .... FDA-2011-N-0003] Ophthalmic and Topical Dosage Form New Animal Drugs; Ivermectin Topical Solution... solution of ivermectin. DATES: This rule is effective December 29, 2011. FOR FURTHER INFORMATION CONTACT... ANADA 200-318 for [[Page 81807

  2. Using paper presentation breaks during didactic lectures improves learning of physiology in undergraduate students.

    Science.gov (United States)

    Ghorbani, Ahmad; Ghazvini, Kiarash

    2016-03-01

    Many studies have emphasized the incorporation of active learning into classrooms to reinforce didactic lectures for physiology courses. This work aimed to determine if presenting classic papers during didactic lectures improves the learning of physiology among undergraduate students. Twenty-two students of health information technology were randomly divided into the following two groups: 1) didactic lecture only (control group) and 2) didactic lecture plus paper presentation breaks (DLPP group). In the control group, main topics of gastrointestinal and endocrine physiology were taught using only the didactic lecture technique. In the DLPP group, some topics were presented by the didactic lecture method (similar to the control group) and some topics were taught by the DLPP technique (first, concepts were covered briefly in a didactic format and then reinforced with presentation of a related classic paper). The combination of didactic lecture and paper breaks significantly improved learning so that students in the DLPP group showed higher scores on related topics compared with those in the control group (P physiology. Copyright © 2016 The American Physiological Society.

  3. Topical methotrexate pretreatment enhances the therapeutic effect of topical 5-aminolevulinic acid-mediated photodynamic therapy on hamster buccal pouch precancers

    OpenAIRE

    Deng-Fu Yang; Jeng-Woei Lee; Hsin-Ming Chen; Yih-Chih Hsu

    2014-01-01

    Topical 5-aminolevulinic acid-mediated photodynamic therapy (ALA-PDT) is effective for treatment of human oral precancerous lesions. This animal study aimed to assess whether topical methotrexate (MTX) pretreatment could enhance the therapeutic effect of topical ALA-PDT on hamster buccal pouch precancerous lesions. Methods: Twenty hamster buccal pouch precancerous lesions were treated with either topical ALA-PDT with topical MTX pretreatment (topical MTX-ALA-PDT group, n = 10) or topical A...

  4. Behaviorism, latent learning, and cognitive maps: needed revisions in introductory psychology textbooks.

    Science.gov (United States)

    Jensen, Robert

    2006-01-01

    This paper critically assesses the scholarship in introductory psychology textbooks in relation to the topic of latent learning. A review of the treatment of latent learning in 48 introductory psychology textbooks published between 1948 and 2004, with 21 of these texts published since 1999, reveals that the scholarship on the topic of latent learning demonstrated in introductory textbooks warrants improvement. Errors that persist in textbooks include the assertion that the latent learning experiments demonstrate unequivocally that reinforcement was not necessary for learning to occur, that behavioral theories could not account for the results of the latent learning experiments, that B. F. Skinner was an S-R association behaviorist who argued that reinforcement is necessary for learning to occur, and that because behavioral theories (including that of B. F. Skinner) were unable explain the results of the latent learning experiments the cognitive map invoked by Edward Tolman is the only explanation for latent learning. Finally, the validity of the cognitive map is typically accepted without question. Implications of the presence of these errors for students and the discipline are considered. Lastly, remedies are offered to improve the scholarship found in introductory psychology textbooks.

  5. Topical immunomodulators in dermatology

    Directory of Open Access Journals (Sweden)

    Khandpur Sujay

    2004-04-01

    Full Text Available Topical immunomodulators are agents that regulate the local immune response of the skin. They are now emerging as the therapy of choice for several immune-mediated dermatoses such as atopic dermatitis, contact allergic dermatitis, alopecia areata, psoriasis, vitiligo, connective tissue disorders such as morphea and lupus erythematosus, disorders of keratinization and several benign and malignant skin tumours, because of their comparable efficacy, ease of application and greater safety than their systemic counterparts. They can be used on a domiciliary basis for longer periods without aggressive monitoring. In this article, we have discussed the mechanism of action, common indications and side-effects of the commonly used topical immunomodulators, excluding topical steroids. Moreover, newer agents, which are still in the experimental stages, have also been described. A MEDLINE search was undertaken using the key words "topical immunomodulators, dermatology" and related articles were also searched. In addition, a manual search for many Indian articles, which are not indexed, was also carried out. Wherever possible, the full article was reviewed. If the full article could not be traced, the abstract was used.

  6. How Patterns of Learning About Sexual Information Among Adolescents Are Related to Sexual Behaviors.

    Science.gov (United States)

    Bleakley, Amy; Khurana, Atika; Hennessy, Michael; Ellithorpe, Morgan

    2018-03-01

    Parents, peers and media are informal sources of sexual information for adolescents. Although the content of sexual information communicated by these sources is known to vary, little is known about what adolescents report actually learning from each source. Data from 1,990 U.S.14-17-year-olds who participated in an online survey in 2015 were used to assess learning about four topics (sex, condoms, hormonal birth control and romantic relationships) from three informal sources (parents, peers, and television and movies). Gender and race differences in learning by source and topic were assessed using t tests. Following a factor analysis, learning about all topics was grouped by source, and regression analyses were conducted to examine associations between learning from each source and three outcomes: sexual activity, condom use and hormonal birth control use. Models included interactions between information sources and race and gender. White adolescents reported learning more from parents and less from media than black adolescents. Compared with males, females learned more about hormonal birth control and less about condoms from their parents, and more about relationships from peers and media. Learning from parents and from peers were positively associated with adolescents' sexual activity (unstandardized coefficients, 0.26 and 0.52, respectively). Learning from parents was positively associated with condom use (odds ratio, 1.5). Adolescents' learning about sex from informal sources varies by race and gender. Future research should examine whether sexual health interventions and message development can capitalize on these differences. Copyright © 2018 by the Guttmacher Institute.

  7. Recent Advances In Topical Therapy In Dermatology

    Directory of Open Access Journals (Sweden)

    Mohan Thappa Devinder

    2003-01-01

    Full Text Available With changing times various newer topical agents are introduced in the field of dermatology. Tacrolimus and pimecrolimus are immunisuppressants, which are effective topically and are tried in the management of atopic dermatitis as well as other disorders including allergic contact dermatitis, atrophic lichen planus, pyoderma gangrenosum. Imiquimod, an immune response modifier, is presently in use for genital warts but has potentials as anti- tumour agent and in various other dermatological conditions when used topically. Tazarotene is a newer addition to the list of topical reginoids, which is effective in psoriasis and has better effect in combination with calcipotriene, phototherapy and topical costicosteroids. Tazarotene and adapelene are also effective in inflammatory acne. Calcipotriol, a vitamin D analogue has been introduced as a topical agent in the treatment of psoriasis. Steroid components are also developed recently which will be devoid of the side effects but having adequate anti-inflammatory effect. Topical photodynamic therapy has also a wide range of use in dermatology. Newer topical agents including cidofovir, capsaicin, topical sensitizers, topical antifungal agents for onychomycosis are also of use in clinical practice. Other promising developments include skin substitutes and growth factors for wound care.

  8. ESL Instruction and Adults with Learning Disabilities. ERIC Digest.

    Science.gov (United States)

    Schwarz, Robin; Terrill, Lynda

    This digest reviews what is known about adult English-as-a-Second-Language (ESL) learners and learning disabilities, suggests ways to identify and assess ESL adults who may have learning disabilities, and offers practical methods for both instruction and teacher training. Topics covered in some detail include identifying and diagnosing learning…

  9. Malnutrition, Learning, and Behavior.

    Science.gov (United States)

    Read, Merrill S.; Felson, David

    The problems of those children who are chronically malnourished, the cultural environment of malnutrition, and the extent to which children are temporarily or permanently handicapped in learning because of malnutrition are discussed in this booklet. It also describes hunger and its effects on child development. The topics addressed are: definition…

  10. Recommender systems for technology enhanced learning research trends and applications

    CERN Document Server

    Manouselis, Nikos; Verbert, Katrien

    2014-01-01

    Presents cutting edge research from leading experts in the growing field of Recommender Systems for Technology Enhanced Learning (RecSys TEL) International contributions are included to demonstrate the merging of various efforts and communities Topics include: Linked Data and the Social Web as Facilitators for TEL Recommender Systems in Research and Practice, Personalised Learning-Plan Recommendations in Game-Based Learning and Recommendations from Heterogeneous Sources in a Technology Enhanced Learning Ecosystem

  11. Testosterone Topical

    Science.gov (United States)

    ... not apply any testosterone topical products to your penis or scrotum or to skin that has sores, ... are severe or do not go away: breast enlargement and/or pain decreased sexual desire acne depression ...

  12. Writing Assignments that Promote Active Learning

    Science.gov (United States)

    Narayanan, M.

    2014-12-01

    Encourage students to write a detailed, analytical report correlating classroom discussions to an important historical event or a current event. Motivate students interview an expert from industry on a topic that was discussed in class. Ask the students to submit a report with supporting sketches, drawings, circuit diagrams and graphs. Propose that the students generate a complete a set of reading responses pertaining to an assigned topic. Require each student to bring in one comment or one question about an assigned reading. The assignment should be a recent publication in an appropriate journal. Have the students conduct a web search on an assigned topic. Ask them to generate a set of ideas that can relate to classroom discussions. Provide the students with a study guide. The study guide should provide about 10 or 15 short topics. Quiz the students on one or two of the topics. Encourage the students to design or develop some creative real-world examples based on a chapter discussed or a topic of interest. Require that students originate, develop, support and defend a viewpoint using a specifically assigned material. Make the students practice using or utilizing a set of new technical terms they have encountered in an assigned chapter. Have students develop original examples explaining the different terms. Ask the students to select one important terminology from the previous classroom discussions. Encourage the students to explain why they selected that particular word. Ask them to talk about the importance of the terminology from the point of view of their educational objectives and future career. Angelo, T. A. (1991). Ten easy pieces: Assessing higher learning in four dimensions. In T. A. Angelo (Ed.), Classroom research: Early lessons from success (pp. 17-31). New Directions for Teaching and Learning, No. 46. San Francisco: Jossey-Bass.

  13. Credibility improves topical blog post retrieval

    NARCIS (Netherlands)

    Weerkamp, W.; de Rijke, M.

    2008-01-01

    Topical blog post retrieval is the task of ranking blog posts with respect to their relevance for a given topic. To improve topical blog post retrieval we incorporate textual credibility indicators in the retrieval process. We consider two groups of indicators: post level (determined using

  14. 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.

  15. Generation of Tutorial Dialogues: Discourse Strategies for Active Learning

    Science.gov (United States)

    1998-05-29

    AND SUBTITLE Generation of Tutorial Dialogues: Discourse Strategies for active Learning AUTHORS Dr. Martha Evens 7. PERFORMING ORGANI2ATION NAME...time the student starts in on a new topic. Michael and Rovick constantly attempt to promote active learning . They regularly use hints and only resort...Controlling active learning : How tutors decide when to generate hints. Proceedings of FLAIRS 󈨣. Melbourne Beach, FL. 157-161. Hume, G., Michael

  16. COGNITIVE SKILLS: A Modest Way of Learning through Technology

    OpenAIRE

    Satya Sundar SETHY

    2012-01-01

    Learning is an ever-present phenomenon. It takes place irrespective of time and place. It engages learners in their interested topic/content. Learning absorbs many skills, such as; reading skills, writing skills, technological skills, emotional skills, behavioral skills, cognitive skills, and language skills. Out of all these, cognitive skills play significant role for apprehending a concept and comprehending a discussion. In the context of distance education (DE), learning never restrains to...

  17. Topic prominence in Chinese EFL learners’ interlanguage

    Directory of Open Access Journals (Sweden)

    Shaopeng Li

    2014-01-01

    Full Text Available The present study aims to investigate the general characteristics of topicprominent typological interlanguage development of Chinese learners of English in terms of acquiring subject-prominent English structures from a discourse perspective. Topic structures mainly appear in Chinese discourse in the form of topic chains (Wang, 2002; 2004. The research target are the topic chain, which is the main topic-prominent structure in Chinese discourse, and zero anaphora, which is the most common topic anaphora in the topic chain. Two important findings emerged from the present study. First, the characteristics of Chinese topic chains are transferrable to the interlanguage of Chinese EFL learners, thus resulting in overgeneralization of the zero anaphora. Second, the interlanguage discourse of Chinese EFL learners reflects a change of the second language acquisition process from topic-prominence to subject-prominence, thus lending support to the discourse transfer hypothesis.

  18. The Pedagogy of Precarity: Laboring to Learn in the New Economy

    Science.gov (United States)

    Carfagna, Lindsey B.

    2017-01-01

    The relationship between learning and labor has long been a topic of concern for sociologists of education. In this dissertation, I conduct an ethnography of open learning in the United States following the 2008 economic crisis and argue that a new style of learning is emerging amidst changes in the labor market. I call that new style of learning…

  19. Teaching and Learning Social Justice through Online Service-Learning Courses

    Directory of Open Access Journals (Sweden)

    Kathy L. Guthrie

    2010-10-01

    Full Text Available Creating a virtual classroom in which diverse students feel welcome to discuss and experience topics related to social justice, action, and change is a study in the value of connectedness and collaboration. Through a combination of technologies, pedagogies, and on-site experiences, virtual cultures develop that encourage the formation of demanding yet stimulating learning environments in which communications and interactions are intellectually transformative. This article explores student perceptions of their participation in an online service-learning course while working in local service organizations. Qualitative methodology was used to identify the philosophical intersection at which multiple pedagogies meet: social justice, service-learning, civic engagement, and leadership as instructed in a web-based environment. This study illustrates the capacity for intentionally constructed online educational experiences focused on social justice, civic engagement, and leadership to affect learning and to provide educators with pedagogical best practices to facilitate requisite change in teaching practice.

  20. Scientific Approach and Inquiry Learning Model in the Topic of Buffer Solution: A Content Analysis

    Science.gov (United States)

    Kusumaningrum, I. A.; Ashadi, A.; Indriyanti, N. Y.

    2017-09-01

    Many concepts in buffer solution cause student’s misconception. Understanding science concepts should apply the scientific approach. One of learning models which is suitable with this approach is inquiry. Content analysis was used to determine textbook compatibility with scientific approach and inquiry learning model in the concept of buffer solution. By using scientific indicator tools (SIT) and Inquiry indicator tools (IIT), we analyzed three chemistry textbooks grade 11 of senior high school labeled as P, Q, and R. We described how textbook compatibility with scientific approach and inquiry learning model in the concept of buffer solution. The results show that textbook P and Q were very poor and book R was sufficient because the textbook still in procedural level. Chemistry textbooks used at school are needed to be improved in term of scientific approach and inquiry learning model. The result of these analyses might be of interest in order to write future potential textbooks.

  1. Incorporating technology-based learning tools into teaching and learning of optimization problems

    Science.gov (United States)

    Yang, Irene

    2014-07-01

    The traditional approach of teaching optimization problems in calculus emphasizes more on teaching the students using analytical approach through a series of procedural steps. However, optimization normally involves problem solving in real life problems and most students fail to translate the problems into mathematic models and have difficulties to visualize the concept underlying. As an educator, it is essential to embed technology in suitable content areas to engage students in construction of meaningful learning by creating a technology-based learning environment. This paper presents the applications of technology-based learning tool in designing optimization learning activities with illustrative examples, as well as to address the challenges in the implementation of using technology in teaching and learning optimization. The suggestion activities in this paper allow flexibility for educator to modify their teaching strategy and apply technology to accommodate different level of studies for the topic of optimization. Hence, this provides great potential for a wide range of learners to enhance their understanding of the concept of optimization.

  2. What's space to learning?

    DEFF Research Database (Denmark)

    Troelsen, Rie

    As “space […] works on its occupants” (Pouler cited in Scheer & Preiser 1994, p. 175), both students and teachers are influenced by the physical contexts in which learning occurs. However, so far focus on the furnishing of classrooms (and built environment as a whole) in universities as being of ...... and practices for technology supported physical learning spaces (JELS). Learning Sciences Research Institute at Nottingham University. Temple, P. (2008). Learning spaces in higher education: an under-researched topic. London Review of Education, 6(3), 229-41......As “space […] works on its occupants” (Pouler cited in Scheer & Preiser 1994, p. 175), both students and teachers are influenced by the physical contexts in which learning occurs. However, so far focus on the furnishing of classrooms (and built environment as a whole) in universities as being...... of importance to the student learning experience has not been overwhelming (Temple 2008). In this paper preliminary findings from a small-scale research project are presented aiming at investigating the influence of spatial conditions on teachers’ views on teaching and learning. Not to evaluate if any given...

  3. How the challenge of explaining learning influenced the origins and development of John B. Watson's behaviorism.

    Science.gov (United States)

    Rilling, M

    2000-01-01

    Before he invented behaviorism, John B. Watson considered learning one of the most important topics in psychology. Watson conducted excellent empirical research on animal learning. He developed behaviorism in part to promote research and elevate the status of learning in psychology. Watson was much less successful in the adequacy and originality of the mechanisms he proposed to explain learning. By assimilating the method of classical conditioning and adopting Pavlov's theory of stimulus substitution, Watson linked behaviorism with a new method that could compete with both Titchener's method of introspection and Freud's methods of psychoanalysis. Watson's interest in explaining psychopathology led to the discovery of conditioned emotional responses and a behavioristic explanation for the learning of phobic behavior. Watson established learning as a central topic for basic research and application in American psychology.

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

    Science.gov (United States)

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

    2015-01-01

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

  5. Recommendations from the Field: Creating an LGBTQ Learning Community

    Science.gov (United States)

    Jaekel, Kathryn S.

    2015-01-01

    This article details the creation of a lesbian, gay, bisexual, transgender, and queer (LGBTQ) learning community. Created because of research that indicates chilly campus climates (Rankin, 2005), as well as particular needs of LGBTQ students in the classroom, this learning community focused upon LGBTQ topics in and out of the classroom. While…

  6. A Mobile Learning Overview by Timeline and Mind Map

    Science.gov (United States)

    Parsons, David

    2014-01-01

    Mobile learning has been a research topic for some 20 years. Over that time it has encompassed a wide range of concepts, theories, designs, experiments and evaluations. With increasing interest in mobile learning from researchers and practitioners, an accessible overview of this area of research that encapsulates its many facets and features can…

  7. Comparison of Flipped Model to Traditional Classroom Learning in a Professional Pharmacy Course

    Directory of Open Access Journals (Sweden)

    Colleen McCabe

    2017-09-01

    Full Text Available The flipped classroom is an approach to incorporate active learning that is being used in secondary education, higher education, and professional schools. This study investigates its impact on student learning and confidence in a professional degree program course. A quasi-experimental study was conducted to evaluate pharmacy students enrolled in a semester-long didactic traditional classroom course compared to students learning the same material using a flipped model through online self-study modules in a hands-on experiential learning course. Before and after each learning experience, students of each group completed a 16-item knowledge assessment on four topic areas and rated their level of confidence with each topic area on a Likert scale. There was a significant difference in knowledge with students in the traditional course scoring higher than students using flipped approach in the experiential course. Furthermore, the flipped experiential course students did not improve assessment scores from pre-test to post-test. For confidence rating, the traditional course group ranked confidence higher than the flipped experiential group for all topics. These findings challenge the notion that the flipped model using self-study in an experiential setting can be a substitution for didactic delivery of pharmacy education.

  8. Knowledge Management: Individual versus organizational learning

    OpenAIRE

    Noemí Martínez Caraballo

    2007-01-01

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

  9. Topical report review status: Volume 10

    International Nuclear Information System (INIS)

    1996-03-01

    This report provides industry with procedures for submitting topical reports, guidance on how the U.S. Nuclear Regulatory Commission (NRC) processes and responds to topical report submittals, and an accounting, with review schedules, of all topical reports currently accepted for review by the NRC. This report is published annually

  10. Implementing a Self-Regulated "WebQuest" Learning System for Chinese Elementary Schools

    Science.gov (United States)

    Hsiao, Hsien-Sheng; Tsai, Chung-Chieh; Lin, Chien-Yu; Lin, Chih-Cheng

    2012-01-01

    The rapid growth of Internet has resulted in the rise of WebQuest learning recently. Teachers encourage students to participate in the searching for knowledge on different topics. When using WebQuest, students' self-regulation is often the key to successful learning. Therefore, this study establishes a self-regulated learning system to assist…

  11. Grooming. Learning Activity Package.

    Science.gov (United States)

    Stark, Pamela

    This learning activity package on grooming for health workers is one of a series of 12 titles developed for use in health occupations education programs. Materials in the package include objectives, a list of materials needed, information sheets, reviews (self evaluations) of portions of the content, and answers to reviews. These topics are…

  12. The Better You Feel the Better You Learn: Do Warm Colours and Rounded Shapes Enhance Learning Outcome in Multimedia Learning?

    Directory of Open Access Journals (Sweden)

    Hannes Münchow

    2017-01-01

    Full Text Available The aim of the present study was to examine whether fostering positive activating affect during multimedia learning enhances learning outcome. University students were randomly assigned to either a multimedia learning environment designed to induce positive activating affect through the use of “warm” colours and rounded shapes (n=61 or an affectively neutral environment that used achromatic colours and sharp edges (n=50. Participants learned about the topic of functional neuroanatomy for 20 minutes and had to answer several questions for comprehension and transfer afterwards. Affective states as well as achievement goal orientations were investigated before and after the learning phase using questionnaires. The results show that participants in the affectively positive environment were superior in comprehension as well as transfer when initial affect was strong. Preexperimental positive affect was therefore a predictor of comprehension and a moderator for transfer. Goal orientations did not influence these effects. The findings support the idea that positive affect, induced through the design of the particular multimedia learning environment, can facilitate performance if initial affective states are taken into account.

  13. 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 ...

  14. Chiropractic: MedlinePlus Health Topic

    Science.gov (United States)

    ... for back pain (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Chiropractic updates by ... ENCYCLOPEDIA Chiropractic care for back pain Related Health Topics Back Pain Complementary and Integrative Medicine National Institutes ...

  15. Diets: MedlinePlus Health Topic

    Science.gov (United States)

    ... Spanish Mediterranean diet (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Diets updates by ... foods Diet-busting foods Mediterranean diet Related Health Topics Child Nutrition DASH Eating Plan Diabetic Diet Nutrition ...

  16. Colonoscopy: MedlinePlus Health Topic

    Science.gov (United States)

    ... Spanish Virtual colonoscopy (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Colonoscopy updates by ... Colonoscopy Colonoscopy discharge Sigmoidoscopy Virtual colonoscopy Related Health Topics Colonic Diseases Colonic Polyps Colorectal Cancer National Institutes ...

  17. Dialysis: MedlinePlus Health Topic

    Science.gov (United States)

    ... access for hemodialysis (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Dialysis updates by ... for hemodialysis Show More Show Less Related Health Topics Creatinine Kidney Cysts Kidney Failure Peritoneal Disorders National ...

  18. Menopause: MedlinePlus Health Topic

    Science.gov (United States)

    ... Spanish What is Menopause? (National Institute on Aging) Topic Image MedlinePlus Email Updates Get Menopause updates by ... test Menopause Types of hormone therapy Related Health Topics Hormone Replacement Therapy Menstruation Premature Ovarian Failure National ...

  19. Vaginitis: MedlinePlus Health Topic

    Science.gov (United States)

    ... Spanish Vulvovaginitis - overview (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Vaginitis updates by ... Vaginitis test - wet mount Vulvovaginitis - overview Related Health Topics Trichomoniasis Vaginal Diseases Yeast Infections Other Languages Find ...

  20. Incorporation of peer learning in first MBBS curriculum to enhance metacognition skills

    OpenAIRE

    Manas Kanti Ray; Suranjana Ray

    2012-01-01

    Peer learning can be incorporated in the first MBBS curriculum along with didactic lectures and tutorials. Peer learning is when a student learns from another student who has been trained to explain the topic and discuss it. Peer learning improves domain-specific inquiry skills, supports self-directed learning, and improves metacognition skills. Metacognition is the ability to plan, reason, judge and regulate ways to approach learning a skill or concept. In the midst of curriculum reforms tha...

  1. Facilitating Teachers' Reuse of Mobile Assisted Language Learning Resources Using Educational Metadata

    Science.gov (United States)

    Zervas, Panagiotis; Sampson, Demetrios G.

    2014-01-01

    Mobile assisted language learning (MALL) and open access repositories for language learning resources are both topics that have attracted the interest of researchers and practitioners in technology enhanced learning (TeL). Yet, there is limited experimental evidence about possible factors that can influence and potentially enhance reuse of MALL…

  2. Topical Acne Treatments and Pregnancy

    Science.gov (United States)

    Topical Acne Treatments In every pregnancy, a woman starts out with a 3-5% chance of having a baby ... This sheet talks about whether exposure to topical acne treatments may increase the risk for birth defects ...

  3. Symbiosis: Rich, Exciting, Neglected Topic

    Science.gov (United States)

    Rowland, Jane Thomas

    1974-01-01

    Argues that the topic of symbiosis has been greatly neglected and underemphasized in general-biology textbooks. Discusses many types and examples of symbiosis, and provides an extensive bibliography of the literature related to this topic. (JR)

  4. Controversial Issues in Learning Disability.

    Science.gov (United States)

    Sapir, Selma C.

    The author discusses controversial issues in the field of learning disabilities (LD). Among topics addressed are conflicting definitions of LD and the impact of the operational definition accepted by the US Government; etiological questions concerning the separation of neurological, environmental, and emotional factors; approaches used in training…

  5. Widespread ecomorphological convergence in multiple fish families spanning the marine-freshwater interface.

    Science.gov (United States)

    Davis, Aaron M; Betancur-R, Ricardo

    2017-05-17

    The theoretical definition and quantification of convergence is an increasingly topical focus in evolutionary research, with particular growing interest on study scales spanning deep phylogenetic divergences and broad geographical areas. While much progress has recently been made in understanding the role of convergence in driving terrestrial (e.g. anole lizards) and aquatic (e.g. cichlids) radiations, little is known about its macroevolutionary effects across environmental gradients. This study uses a suite of recently developed comparative approaches integrating diverse aspects of morphology, dietary data, habitat affiliation and phylogeny to assess convergence across several well-known tropical-temperate fish families in the percomorph suborder Terapontoidei, a clade with considerable phenotypic and ecological diversity radiating in both marine and freshwater environments. We demonstrate significant widespread convergence across many lineages occupying equivalent trophic niches, particularly feeding habits such as herbivory and biting of attached prey off hard substrates. These include several examples of convergent morphotypes evolving independently in marine and freshwater clades, separated by deep evolutionary divergences (tens of millions of years). The Terapontoidei present a new example of the macroevolutionary dynamics of morphological and ecological coevolution in relation to habitat and trophic preferences, at a greater phylogenetic and habitat scale than most well-studied adaptive radiations. © 2017 The Author(s).

  6. Prediabetes:MedlinePlus Health Topic

    Science.gov (United States)

    ... in Spanish Prediabetes (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Prediabetes updates by ... Glucose tolerance test - non-pregnant Prediabetes Related Health Topics A1C Diabetes Diabetes in Children and Teens Diabetes ...

  7. Diabetes: MedlinePlus Health Topic

    Science.gov (United States)

    ... High blood sugar (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Diabetes updates by ... ketones test Show More Show Less Related Health Topics A1C Blood Sugar Diabetes and Pregnancy Diabetes Complications ...

  8. Distance Learning For Mobile Internet Users

    Directory of Open Access Journals (Sweden)

    Beran NECAT

    2007-04-01

    Full Text Available This paper provides an overview on the current state of art in the field of Distance learning for mobile users. It mentions a large range of technologies, services and approaches that may be used to bring distance learning to mobile internet users. These technologies are supposed to considerably increase innovative e-learning solutions for the next generation. While this definitely appears to be true, I think what is not so clear are the implications for students, and lecturers etc. In this article I first evaluate distributed e-learning technologies. With some of the most vital topics, focusing on adaptive distributed e-learning for Mobile Internet Users (MIUs. I also provide a brief analysis of Broadband Network Services, Collaborative e-Learning Tools and Distributed Virtual Environments, Internet-Based Adaptive Learning Technologies and Personalised Distance Learning. I continue my discussion on to Internet Development Tools (IDTs for Distance Learning Solutions, Learning Technologies for MIUs, Semantic and Web-Based Services for Enriching Learning Interactivity, and Evaluations of Distributed Learning Technologies (DLTs.

  9. A Framework for Narration and Learning in Educational Multimedia

    DEFF Research Database (Denmark)

    Mosegaard, Jesper; Bennedsen, Jens

    2006-01-01

    In this article we describe a multimedia adventure game framework for a learningenvironment to support the teaching and learning of introductory programming. In theframework we have conceptualized two important aspects of such an environment: narrationand learning topics. We describe the interplay...... between these aspects and how the frameworkutilizes this to adapt the learning process to the individual student. The motivation for theseparation is to help the teacher balance the two main driving forces of an edutainmentproduct: entertainment and learning. It is the responsibility of the teacher...

  10. Asymmetric author-topic model for knowledge discovering of big data in toxicogenomics.

    Science.gov (United States)

    Chung, Ming-Hua; Wang, Yuping; Tang, Hailin; Zou, Wen; Basinger, John; Xu, Xiaowei; Tong, Weida

    2015-01-01

    The advancement of high-throughput screening technologies facilitates the generation of massive amount of biological data, a big data phenomena in biomedical science. Yet, researchers still heavily rely on keyword search and/or literature review to navigate the databases and analyses are often done in rather small-scale. As a result, the rich information of a database has not been fully utilized, particularly for the information embedded in the interactive nature between data points that are largely ignored and buried. For the past 10 years, probabilistic topic modeling has been recognized as an effective machine learning algorithm to annotate the hidden thematic structure of massive collection of documents. The analogy between text corpus and large-scale genomic data enables the application of text mining tools, like probabilistic topic models, to explore hidden patterns of genomic data and to the extension of altered biological functions. In this paper, we developed a generalized probabilistic topic model to analyze a toxicogenomics dataset that consists of a large number of gene expression data from the rat livers treated with drugs in multiple dose and time-points. We discovered the hidden patterns in gene expression associated with the effect of doses and time-points of treatment. Finally, we illustrated the ability of our model to identify the evidence of potential reduction of animal use.

  11. Asymmetric author-topic model for knowledge discovering of big data in toxicogenomics

    Directory of Open Access Journals (Sweden)

    Ming-Hua eChung

    2015-04-01

    Full Text Available The advancement of high-throughput screening technologies facilitates the generation of massive amount of biological data, a big data phenomena in biomedical science. Yet, researchers still heavily rely on keyword search and/or literature review to navigate the databases and analyses are often done in rather small-scale. As a result, the rich information of a database has not been fully utilized, particularly for the information embedded in the interactive nature between data points that are largely ignored and buried. For the past ten years, probabilistic topic modeling has been recognized as an effective machine learning algorithm to annotate the hidden thematic structure of massive collection of documents. The analogy between text corpus and large-scale genomic data enables the application of text mining tools, like probabilistic topic models, to explore hidden patterns of genomic data and to the extension of altered biological functions. In this paper, we developed a generalized probabilistic topic model to analyze a toxicogenomics dataset that consists of a large number of gene expression data from the rat livers treated with drugs in multiple dose and time-points. We discovered the hidden patterns in gene expression associated with the effect of doses and time-points of treatment. Finally, we illustrated the ability of our model to identify the evidence of potential reduction of animal use.

  12. Towards identifying Collaborative Learning groups using Social Media

    Directory of Open Access Journals (Sweden)

    Selver Softic

    2012-11-01

    Full Text Available This work reports about the preliminary results and ongoing research based upon profiling collaborative learning groups of persons within the social micro-blogging platforms like Twitter that share potentially common interests on special topic. Hereby the focus is held on spontaneously initiated collaborative learning in Social Media and detection of collaborative learning groups based upon their communication dynamics. Research questions targeted to be answered are: are there any useful data mining algorithms to fulfill the task of pre-selection and clustering of users in social networks, how good do they perform, and what are the metrics that could be used for detection and evaluation in the realm of this task. Basic approach presented here uses as preamble hypothesis that users and their interests in Social Networks can be identified through content generated by them and content they consume. Special focus is held on topic oriented approach as least common bounding point. Those should be also the basic criteria used to detect and outline the learning groups. The aim of this work is to deliver first scientific pre-work for successfully implementation of recommender systems using social network metrics and content features of social network users for the purposes of better learning group communication and information consumption.

  13. Development of an e-Learning Research Module Using Multimedia Instruction Approach.

    Science.gov (United States)

    Kowitlawakul, Yanika; Chan, Moon Fai; Tan, Sharon Swee Lin; Soong, Alan Swee Kit; Chan, Sally Wai Chi

    2017-03-01

    Students nowadays feel more comfortable with new technologies, which increase their motivation and, as a result, improve their academic performance. In the last two decades, the use of information communication technology has been increasing in many disciplines in higher education. Online learning or e-learning has been used and integrated into the curriculum around the world. A team of nursing faculty and educational technology specialists have developed an e-learning research module and integrate it into the nursing curriculum. The aim was to assist master of nursing and postgraduate nursing students in developing their research knowledge before and throughout their enrollment in the research course. This e-learning module includes interactive multimedia such as audiovisual presentation, graphical theme, animation, case-based learning, and pretest and posttest for each topic area. The module focuses on three main topic areas: (1) basic research principles (for review), (2) quantitative method, and (3) qualitative method. The e-learning module is an innovative use of the information and communication technology to enhance student engagement and learning outcomes in a local context. This article discusses the development journey, piloting process, including the variety of evaluation perspectives, and the ways in which the results influenced the e-learning resource before its wider distribution.

  14. Virtual Manipulatives: Tools for Teaching Mathematics to Students with Learning Disabilities

    Science.gov (United States)

    Shin, Mikyung; Bryant, Diane P.; Bryant, Brian R.; McKenna, John W.; Hou, Fangjuan; Ok, Min Wook

    2017-01-01

    Many students with learning disabilities demonstrate difficulty in developing a conceptual understanding of mathematical topics. Researchers recommend using visual models to support student learning of the concepts and skills necessary to complete abstract and symbolic mathematical problems. Virtual manipulatives (i.e., interactive visual models)…

  15. Tracking topic birth and death in LDA.

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Andrew T.; Robinson, David Gerald

    2011-09-01

    Most topic modeling algorithms that address the evolution of documents over time use the same number of topics at all times. This obscures the common occurrence in the data where new subjects arise and old ones diminish or disappear entirely. We propose an algorithm to model the birth and death of topics within an LDA-like framework. The user selects an initial number of topics, after which new topics are created and retired without further supervision. Our approach also accommodates many of the acceleration and parallelization schemes developed in recent years for standard LDA. In recent years, topic modeling algorithms such as latent semantic analysis (LSA)[17], latent Dirichlet allocation (LDA)[10] and their descendants have offered a powerful way to explore and interrogate corpora far too large for any human to grasp without assistance. Using such algorithms we are able to search for similar documents, model and track the volume of topics over time, search for correlated topics or model them with a hierarchy. Most of these algorithms are intended for use with static corpora where the number of documents and the size of the vocabulary are known in advance. Moreover, almost all current topic modeling algorithms fix the number of topics as one of the input parameters and keep it fixed across the entire corpus. While this is appropriate for static corpora, it becomes a serious handicap when analyzing time-varying data sets where topics come and go as a matter of course. This is doubly true for online algorithms that may not have the option of revising earlier results in light of new data. To be sure, these algorithms will account for changing data one way or another, but without the ability to adapt to structural changes such as entirely new topics they may do so in counterintuitive ways.

  16. Digital media Experiences for Visual Learning

    DEFF Research Database (Denmark)

    Buhl, Mie

    2013-01-01

    for new tools and new theoretical approaches with which to understand them. the article argues that the current phase of social practices and technological development makes it difficult to disitnguish between experience with digital media and mediated experiences, because of the use of renegotiation og......Visual learning is a topic for didactic studies in all levels of educaion, brought about by an increasing use of digital meida- digital media give rise to discussions of how learning expereienes come about from various media ressources that generate new learning situations. new situations call...... about by the nature of diverse digital artefacts, 3. the learning potentials in using mobils devices for integrating the body in visual perception processes....

  17. Citizen science on a smartphone: Participants' motivations and learning.

    Science.gov (United States)

    Land-Zandstra, Anne M; Devilee, Jeroen L A; Snik, Frans; Buurmeijer, Franka; van den Broek, Jos M

    2016-01-01

    Citizen science provides researchers means to gather or analyse large datasets. At the same time, citizen science projects offer an opportunity for non-scientists to be part of and learn from the scientific process. In the Dutch iSPEX project, a large number of citizens turned their smartphones into actual measurement devices to measure aerosols. This study examined participants' motivation and perceived learning impacts of this unique project. Most respondents joined iSPEX because they wanted to contribute to the scientific goals of the project or because they were interested in the project topics (health and environmental impact of aerosols). In terms of learning impact, respondents reported a gain in knowledge about citizen science and the topics of the project. However, many respondents had an incomplete understanding of the science behind the project, possibly caused by the complexity of the measurements. © The Author(s) 2015.

  18. Topics in lightwave transmission systems

    CERN Document Server

    Li, Tingye

    1991-01-01

    Topics in Lightwave Transmission Systems is a second volume of a treatise on optical fiber communications that is devoted to the science, engineering, and application of information transmission via optical fibers. The first volume, published in 1985, dealt exclusively with fiber fabrication. The present volume contains topics that pertain to subsystems and systems. The book contains five chapters and begins with discussions of transmitters and receivers, which are basic to systems now operating in the field. Subsequent chapters cover topics relating to coherent systems: frequency and phase m

  19. Patterns of interactions at grade 5 classroom in learning the topic of statistics viewed from cognitive load theory

    Science.gov (United States)

    Setianingsih, R.

    2018-01-01

    The nature of interactions that occurs among teacher, students, learning sources, and learning environment creates different settings to enhance learning. Any setting created by a teacher is affected by 3 (three) types of cognitive load: intrinsic cognitive load, extraneous cognitive load, and germane cognitive load. This study is qualitative in nature, aims to analyse the patterns of interaction that are constituted in mathematics instructions by taking into account the cognitive load theory. The subjects of this study are 21 fifth-grade students who learn mathematics in small groups and whole-class interactive lessons. The data were collected through classroom observations which were videotaped, while field notes were also taken. The data analysis revealed that students engaged in productive interaction and inquiry while they were learning mathematics in small groups or in whole class setting, in which there was a different type of cognitive load that dominantly affecting the learning processes at each setting. During learning mathematics in whole class setting, the most frequently found interaction patterns were to discuss and compare solution based on self-developed models, followed by expressing opinions. This is consistent with the principles of mathematics learning, which gives students wide opportunities to construct mathematical knowledge through individual learning, learning in small groups as well as learning in whole class settings. It means that by participating in interactive learning, the students are habitually engaged in productive interactions and high level of mathematical thinking.

  20. Multinational Companies as a Source of Entrepreneurial Learning Examples from the It Sector in Ireland

    Science.gov (United States)

    McKeon, Helen; Johnston, Kate; Henry, Colette

    2004-01-01

    Entrepreneurial learning has recently become a topic of significant interest, with academics and economists alike recognising that the success of any new business venture is closely linked to the learning and knowledge of the entrepreneur. To date, research into entrepreneurial learning and the specific ways in which entrepreneurs learn is…

  1. Topics in string theory and quantum gravity

    CERN Document Server

    Alvarez-Gaume, Luis

    1992-01-01

    These are the lecture notes for the Les Houches Summer School on Quantum Gravity held in July 1992. The notes present some general critical assessment of other (non-string) approaches to quantum gravity, and a selected set of topics concerning what we have learned so far about the subject from string theory. Since these lectures are long (133 A4 pages), we include in this abstract the table of contents, which should help the user of the bulletin board in deciding whether to latex and print the full file. 1-FIELD THEORETICAL APPROACH TO QUANTUM GRAVITY: Linearized gravity; Supergravity; Kaluza-Klein theories; Quantum field theory and classical gravity; Euclidean approach to Quantum Gravity; Canonical quantization of gravity; Gravitational Instantons. 2-CONSISTENCY CONDITIONS: ANOMALIES: Generalities about anomalies; Spinors in 2n dimensions; When can we expect to find anomalies?; The Atiyah-Singer Index Theorem and the computation of anomalies; Examples: Green-Schwarz cancellation mechanism and Witten's SU(2) ...

  2. Current and future multimodal learning analytics data challenges

    DEFF Research Database (Denmark)

    Spikol, Daniel; Prieto, Luis P.; Rodriguez-Triana, M.J.

    2017-01-01

    Multimodal Learning Analytics (MMLA) captures, integrates and analyzes learning traces from different sources in order to obtain a more holistic understanding of the learning process, wherever it happens. MMLA leverages the increasingly widespread availability of diverse sensors, high......-frequency data collection technologies and sophisticated machine learning and artificial intelligence techniques. The aim of this workshop is twofold: first, to expose participants to, and develop, different multimodal datasets that reflect how MMLA can bring new insights and opportunities to investigate complex...... learning processes and environments; second, to collaboratively identify a set of grand challenges for further MMLA research, built upon the foundations of previous workshops on the topic....

  3. Profiles of Opportunities to Learn for TEDS-M Future Secondary Mathematics Teachers

    Science.gov (United States)

    Wang, Ting-Ying; Tang, Shu-Jyh

    2013-01-01

    This study used the data set from the Teacher Education and Development Study in Mathematics to identify the profiles of opportunities to learn (OTL) regarding topics studied in teacher preparation programs by future secondary mathematics teachers from 15 participating countries. The topics of inquiry covered tertiary-level mathematics,…

  4. Machine learning a theoretical approach

    CERN Document Server

    Natarajan, Balas K

    2014-01-01

    This is the first comprehensive introduction to computational learning theory. The author's uniform presentation of fundamental results and their applications offers AI researchers a theoretical perspective on the problems they study. The book presents tools for the analysis of probabilistic models of learning, tools that crisply classify what is and is not efficiently learnable. After a general introduction to Valiant's PAC paradigm and the important notion of the Vapnik-Chervonenkis dimension, the author explores specific topics such as finite automata and neural networks. The presentation

  5. An investigative, cooperative learning approach to the general microbiology laboratory.

    Science.gov (United States)

    Seifert, Kyle; Fenster, Amy; Dilts, Judith A; Temple, Louise

    2009-01-01

    Investigative- and cooperative-based learning strategies have been used effectively in a variety of classrooms to enhance student learning and engagement. In the General Microbiology laboratory for juniors and seniors at James Madison University, these strategies were combined to make a semester-long, investigative, cooperative learning experience involving culture and identification of microbial isolates that the students obtained from various environments. To assess whether this strategy was successful, students were asked to complete a survey at the beginning and at the end of the semester regarding their comfort level with a variety of topics. For most of the topics queried, the students reported that their comfort had increased significantly during the semester. Furthermore, this group of students thought that the quality of this investigative lab experience was much better than that of any of their previous lab experiences.

  6. Facilitating Attitudinal Learning in an Animal Behaviour and Welfare MOOC

    Science.gov (United States)

    Watson, Sunnie Lee

    2017-01-01

    This case study examines the design and facilitation of a Massive Open Online Course (MOOC) that focused on attitudinal learning about the topic of animal behaviour and welfare. Findings showed that a team of instructors worked together collaboratively towards realising learning goals and found the experience rewarding. While learners had mixed…

  7. Using Facebook as an informal learning environment.

    Science.gov (United States)

    Cain, Jeff; Policastri, Anne

    2011-12-15

    To create, implement, and assess the effectiveness of an optional Facebook activity intended to expose students to contemporary business issues not covered in the core content of a pharmacy management and leadership course and to perspectives of experts and thought leaders external to their university. An informal learning strategy was used to create a Facebook group page and guest experts were identified and invited to submit posts pertaining to business-related topics. Students were given instructions for joining the Facebook group but informed that participation was optional. A mixed-methods approach using a student questionnaire, results on examination questions, and a student focus group was used to assess this activity. The informal design with no posting guidelines and no participation requirement was well received by students, who appreciated the unique learning environment and exposure to external experts. Facebook provides an informal learning environment for presenting contemporary topics and the thoughts of guest experts not affiliated with a college or school, thereby exposing students to relevant "real world" issues.

  8. "Straitjacket" or "Springboard for Sustainable Learning"? The Implications of Formative Assessment Practices in Vocational Learning Cultures

    Science.gov (United States)

    Davies, Jenifer; Ecclestone, Kathryn

    2008-01-01

    In contrast to theoretical and empirical insights from research into formative assessment in compulsory schooling, understanding the relationship between formative assessment, motivation and learning in vocational education has been a topic neglected by researchers. The Improving Formative Assessment project (IFA) addresses this gap, using a…

  9. Exploring the Relationship Between Distributed Training, Integrated Learning Environments, and Immersive Training Environments

    Science.gov (United States)

    2007-01-01

    educating and training (O’Keefe IV & McIntyre III, 2006). Topics vary widely from standard educational topics such as teaching kids physics, mechanics...Winn, W., & Yu, R. (1997). The Impact of Three Dimensional Immersive Virtual Environments on Modern Pedagogy : Global Change, VR and Learning

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

    International Nuclear Information System (INIS)

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

    2016-01-01

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

  11. Effects of Text Illustration on Children's Learning of a School Science Topic.

    Science.gov (United States)

    Reid, D. J.; Beveridge, M.

    1986-01-01

    This study of 272 13-year-old science students in England focuses on the effect of varied text and picture content on learning. A criterion-referenced objective items test was used to measure the effect of pictures on students of varying abilities and compare the effectiveness of traditional worksheet presentation and microcomputer presentation.…

  12. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

    Science.gov (United States)

    Kagashe, Ireneus; Yan, Zhijun; Suheryani, Imran

    2017-09-12

    Uptake of medicinal drugs (preventive or treatment) is among the approaches used to control disease outbreaks, and therefore, it is of vital importance to be aware of the counts or frequencies of most commonly used drugs and trending topics about these drugs from consumers for successful implementation of control measures. Traditional survey methods would have accomplished this study, but they are too costly in terms of resources needed, and they are subject to social desirability bias for topics discovery. Hence, there is a need to use alternative efficient means such as Twitter data and machine learning (ML) techniques. Using Twitter data, the aim of the study was to (1) provide a methodological extension for efficiently extracting widely consumed drugs during seasonal influenza and (2) extract topics from the tweets of these drugs and to infer how the insights provided by these topics can enhance seasonal influenza surveillance. From tweets collected during the 2012-13 flu season, we first identified tweets with mentions of drugs and then constructed an ML classifier using dependency words as features. The classifier was used to extract tweets that evidenced consumption of drugs, out of which we identified the mostly consumed drugs. Finally, we extracted trending topics from each of these widely used drugs' tweets using latent Dirichlet allocation (LDA). Our proposed classifier obtained an F 1 score of 0.82, which significantly outperformed the two benchmark classifiers (ie, Pstrategies for mitigating the severity of seasonal influenza outbreaks. The proposed methods can be extended to the outbreaks of other diseases. ©Ireneus Kagashe, Zhijun Yan, Imran Suheryani. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.09.2017.

  13. Daily life activity routine discovery in hemiparetic rehabilitation patients using topic models.

    Science.gov (United States)

    Seiter, J; Derungs, A; Schuster-Amft, C; Amft, O; Tröster, G

    2015-01-01

    Monitoring natural behavior and activity routines of hemiparetic rehabilitation patients across the day can provide valuable progress information for therapists and patients and contribute to an optimized rehabilitation process. In particular, continuous patient monitoring could add type, frequency and duration of daily life activity routines and hence complement standard clinical scores that are assessed for particular tasks only. Machine learning methods have been applied to infer activity routines from sensor data. However, supervised methods require activity annotations to build recognition models and thus require extensive patient supervision. Discovery methods, including topic models could provide patient routine information and deal with variability in activity and movement performance across patients. Topic models have been used to discover characteristic activity routine patterns of healthy individuals using activity primitives recognized from supervised sensor data. Yet, the applicability of topic models for hemiparetic rehabilitation patients and techniques to derive activity primitives without supervision needs to be addressed. We investigate, 1) whether a topic model-based activity routine discovery framework can infer activity routines of rehabilitation patients from wearable motion sensor data. 2) We compare the performance of our topic model-based activity routine discovery using rule-based and clustering-based activity vocabulary. We analyze the activity routine discovery in a dataset recorded with 11 hemiparetic rehabilitation patients during up to ten full recording days per individual in an ambulatory daycare rehabilitation center using wearable motion sensors attached to both wrists and the non-affected thigh. We introduce and compare rule-based and clustering-based activity vocabulary to process statistical and frequency acceleration features to activity words. Activity words were used for activity routine pattern discovery using topic models

  14. Preliminary stop of the TOPical Imiquimod treatment of high-grade Cervical intraepithelial neoplasia (TOPIC) trial

    NARCIS (Netherlands)

    Koeneman, M. M.; Kruse, Arnold-Jan; Kooreman, L. F. S.; zur Hausen, Axel; Hopman, Anton H N; Sep, S. J. S.; Van Gorp, T.; Slangen, B. F. M.; van Beekhuizen, H. J.; de Sande, Michiel A. J. van; Gerestein, Cornelis G.; Nijman, H. W.; Kruitwagen, R. F. M. P.

    2017-01-01

    The "TOPical Imiquimod treatment of high-grade Cervical intraepithelial neoplasia" (TOPIC) trial was stopped preliminary, due to lagging inclusions. This study aimed to evaluate the treatment efficacy and clinical applicability of imiquimod 5% cream in high-grade cervical intraepithelial neoplasia

  15. From Tootsie Rolls to Composites: Assessing a Spectrum of Active Learning Activities in Engineering Mechanics

    Science.gov (United States)

    2009-05-01

    The introduction of active learning exercises into a traditional lecture has been shown to improve students’ learning. Hands-on learning...opportunities in labs and projects provide are additional tools in the active learning toolbox. This paper presents a series of innovative hands-on active ... learning activities for mechanics of materials topics. These activities are based on a Methodology for Developing Hands-on Active Learning Activities, a

  16. Homebound Learning Opportunities: Reaching Out to Older Shut-ins and Their Caregivers.

    Science.gov (United States)

    Penning, Margaret; Wasyliw, Douglas

    1992-01-01

    Describes Homebound Learning Opportunities, innovative health promotion and educational outreach service for homebound older adults and their caregivers. Notes that program provides over 125 topics for individualized learning programs delivered to participants in homes, audiovisual lending library, educational television programing, and peer…

  17. ElectronixTutor: An Intelligent Tutoring System with Multiple Learning Resources for Electronics

    Science.gov (United States)

    Graesser, Arthur C.; Hu, Xiangen; Nye, Benjamin D.; VanLehn, Kurt; Kumar, Rohit; Heffernan, Cristina; Heffernan, Neil; Woolf, Beverly; Olney, Andrew M.; Rus, Vasile; Andrasik, Frank; Pavlik, Philip; Cai, Zhiqiang; Wetzel, Jon; Morgan, Brent; Hampton, Andrew J.; Lippert, Anne M.; Wang, Lijia; Cheng, Qinyu; Vinson, Joseph E.; Kelly, Craig N.; McGlown, Cadarrius; Majmudar, Charvi A.; Morshed, Bashir; Baer, Whitney

    2018-01-01

    Background: The Office of Naval Research (ONR) organized a STEM Challenge initiative to explore how intelligent tutoring systems (ITSs) can be developed in a reasonable amount of time to help students learn STEM topics. This competitive initiative sponsored four teams that separately developed systems that covered topics in mathematics,…

  18. CoRes utilization for building PCK in pre-service teacher education on the digestive system topic

    Science.gov (United States)

    Nugraha, Ikmanda

    2017-05-01

    Knowledge of teachers in learning activities in the classroom has a close relationship with how well and how much students learn. Recently, a promising development in teacher education has appeared that centers on the academic construct of pedagogical content knowledge (PCK). This study was an exploratory study into a science teacher education program that seeks to build the foundations on which pre-service teachers can begin to build their pedagogical content knowledge (PCK). The program involved the use of Content Representations (CoRes), which was initially applied as component of a strategy for exploring and gaining insights into the PCK of in-service science teachers. This study involved the researcher and 20 students (third year) in a pre-service teacher education course (School Science I) in science education when the students worked to make content analysis on the digestive system topic. During the course, the students make their own CoRes through a workshop for digestive system topic individually, in pairs and whole class discussion. Data were recorded from students' CoRes, student reflective journals, interviews, and field notes recorded in the researcher's reflective journal. Pre-service teachers' comments from interviews and reflective journals were coded in relation to references about: (1) the effectiveness of variety strategies in building the knowledge bases required to design a CoRes and (2) their awareness and/or development of tentative components of future PCK for a digestive system topic as a result of CoRes construction. Observational data were examined for indications of increasing independence and competency on the part of student teachers when locating appropriate information for designing their CoRes. From this study, it is hoped that the pre-service science teachers are able to build knowledge and then transform it into a form of PCK for digestive system topic for their first classroom planning and teaching to teach digestive system

  19. The study of topics of Astronomy in Physics teaching that addresses the significant learning

    Science.gov (United States)

    Santos Neta, M. L.; Voelzke, M. R.

    2017-12-01

    In this work are discussed the results of the case study on the oceanic tides for which it was used didactic sequences, based on the Cycle of Experience of George Kelly (Kelly 1963), applied in four groups of the first year of the integral medium teaching. The data obtained in two same tests - Pre and Post-Test - before and after the application of the didactic sequences, as well as the verification of the significant learning analysed as for the conditions of the previous knowledge considering authors Boczko (1984), Horvath (2008) and Kepler & Saraiva (2013). Also the values were analysed obtained the Post-Test II applied to the long period. The results reveal that the worked groups presented previous knowledge in conditions adapted for the understanding of the event, as well as, for they be used in the situation-problem resolution that demands the understanding. Verify also that the idea of the didactic sequence can be used as tool in the relationship teaching-learning addressed to the significant learning.

  20. Learning Perl Student Workbook

    CERN Document Server

    foy, brian

    2012-01-01

    This is an ebook-only workbook to accompany the 6th Edition of Learning Perl ("the Llama"). If you're just getting started with Perl, this is the book you want-whether you're a programmer, system administrator, or web hacker. This 6th edition of Learning Perl covers recent changes to the language up to version 5.14. Exercises are presented in the first half of the workbook, with the answers in the second. Topics include: Scalar DataLists and ArraysSubroutinesInput and OutputHashesIn the World of Regular ExpressionsMatching with Regular ExpressionsProcessing Text with Regular Expressions10.

  1. Learning to Apply Models of Materials While Explaining Their Properties

    Science.gov (United States)

    Karpin, Tiia; Juuti, Kalle; Lavonen, Jari

    2014-01-01

    Background: Applying structural models is important to chemistry education at the upper secondary level, but it is considered one of the most difficult topics to learn. Purpose: This study analyses to what extent in designed lessons students learned to apply structural models in explaining the properties and behaviours of various materials.…

  2. Identification of Quality Visual-Based Learning Material for Technology Education

    Science.gov (United States)

    Katsioloudis, Petros

    2010-01-01

    It is widely known that the use of visual technology enhances learning by providing a better understanding of the topic as well as motivating students. If all visual-based learning materials (tables, figures, photos, etc.) were equally effective in facilitating student achievement of all kinds of educational objectives, there would virtually be no…

  3. Bimatoprost Topical

    Science.gov (United States)

    ... not use a cotton swab or any other brush or applicator to apply topical bimatoprost.To use the solution, follow these steps: Wash your hands and face thoroughly with soap and water. Be sure that all makeup is removed. Do not let the tip of ...

  4. Learning to reason from samples

    NARCIS (Netherlands)

    Ben-Zvi, Dani; Bakker, Arthur; Makar, Katie

    2015-01-01

    The goal of this article is to introduce the topic of learning to reason from samples, which is the focus of this special issue of Educational Studies in Mathematics on statistical reasoning. Samples are data sets, taken from some wider universe (e.g., a population or a process) using a particular

  5. Topics in quantum field theory

    NARCIS (Netherlands)

    Dams, C.J.F.

    2006-01-01

    In this PhD-thesis some topics in quantum field theory are considered. The first chapter gives a background to these topics. The second chapter discusses renormalization. In particular it is shown how loop calculations can be performed when using the axial gauge fixing. Fermion creation and

  6. Liquid crystals: a new topic in physics for undergraduates

    International Nuclear Information System (INIS)

    Pavlin, Jerneja; Čepič, Mojca; Vaupotič, Nataša

    2013-01-01

    This paper presents a teaching module about liquid crystals. Since liquid crystals are linked to everyday student experiences and are also a topic of current scientific research, they are an excellent candidate for a modern topic to be introduced into education. We show that liquid crystals can provide a pathway through several fields of physics such as thermodynamics, optics and electromagnetism. We discuss what students should learn about liquid crystals and what physical concepts they should know before considering them. In the presentation of the teaching module, which consists of a lecture and experimental work in a chemistry and physics laboratory, we focus on experiments on phase transitions, polarization of light, double refraction and colours. A pilot evaluation of the module was performed among pre-service primary school teachers who have no special preference for natural sciences. The evaluation shows that the module is very efficient in transferring knowledge. A prior study showed that the informally obtained pre-knowledge on liquid crystals of the first-year students from several different fields of study was negligible. Since social science students are the least interested in natural sciences, it can be expected that students in any study programme will on average achieve at least as good qualitative knowledge of phenomena related to liquid crystals as the group involved in the pilot study. (paper)

  7. Learning How to Teach Poverty: A Case for Community of Practice

    Science.gov (United States)

    Browne, Laurie P.; Roll, Susan J.

    2015-01-01

    Recreation students today need to be prepared to engage in the topic of poverty as a social justice issue affecting our communities, yet many instructors do not have the tools to effectively teach this complex topic. One way instructors might learn how to engage students with poverty is through an interdisciplinary community of practice (CoP).…

  8. Integrated approaches to perceptual learning.

    Science.gov (United States)

    Jacobs, Robert A

    2010-04-01

    New technologies and new ways of thinking have recently led to rapid expansions in the study of perceptual learning. We describe three themes shared by many of the nine articles included in this topic on Integrated Approaches to Perceptual Learning. First, perceptual learning cannot be studied on its own because it is closely linked to other aspects of cognition, such as attention, working memory, decision making, and conceptual knowledge. Second, perceptual learning is sensitive to both the stimulus properties of the environment in which an observer exists and to the properties of the tasks that the observer needs to perform. Moreover, the environmental and task properties can be characterized through their statistical regularities. Finally, the study of perceptual learning has important implications for society, including implications for science education and medical rehabilitation. Contributed articles relevant to each theme are summarized. Copyright © 2010 Cognitive Science Society, Inc.

  9. Teaching Diversity and Aging through Active Learning Strategies: An Annotated Bibliography.

    Science.gov (United States)

    Fried, Stephen B.; Mehrotra, Chandra M.

    Covering 10 topical areas, this annotated bibliography offers a guide to journal articles, book chapters, monographs, and books useful for teaching diversity and aging through active learning. Active learning experiences may help expand students' awareness of elements of their own diversity, broaden their world view, and enhance their culturally…

  10. Future Time Orientation and Learning Conceptions: Effects on Metacognitive Strategies, Self-Efficacy Beliefs, Study Effort and Academic Achievement

    Science.gov (United States)

    Gutiérrez-Braojos, Calixto

    2015-01-01

    During the past decade, research on the constructive learning process has been conducted mainly from two perspectives: student approaches to learning (SAL) and self-regulated learning (SRL). The SAL perspective has highlighted the role of learning conceptions with respect to other topics involved in constructive learning processes, whereas…

  11. The Analysis of the Impact of Two Factors-Motivation and Attitude in Adult Foreign Language Learning

    Institute of Scientific and Technical Information of China (English)

    LI Hui-fang

    2014-01-01

    This paper is mainly about how the two affective factors-motivation and attitude influence adults’foreign language learning. The topic is discussed from the aspect of some factors which indirectly influence adults ’language learning through influ-encing their learning motivation. Also positive attitude will promote adult foreign language learning.

  12. Technology-Mediated Learning for Resilience

    DEFF Research Database (Denmark)

    Sandvik, Kjetil; Majchrzak, Tim; Busch, Peter André

    , such as the successive outbreak of a pandemic. Due to the novelty of the topic, research particularly exists on theoretical aspects of resilience. Targeting learning – and thereby the local population – is a rather new emergence. To effectively reach, involve, and engage citizens, technology can play a key role. Based...... on four actual cases from communities we analyse the impact technology has on learning about resilience. We then scrutinize the effectiveness and propose future steps. Thereby, we seek to provide practical advice to local governments and to enrich the theory at the same time....

  13. Learning Environment Facilitating Educational Achievements of Teenagers

    OpenAIRE

    Šūmane, Ilze

    2012-01-01

    ABSTRACT. The doctoral thesis of Ilze Šūmane in pedagogy science, school pedagogy sub-discipline ”Learning environment facilitating educational achievements of teenagers” was worked out in the Department of Pedagogy, Faculty of Pedagogy, Psychology and Arts, University of Latvia, under the supervision of Dr.paed., professor Rudīte Andersone from2001 till 2011. The topicality of the research determined by the necessity to improve quality learning and education. During an effective study ...

  14. Using visualizations to support collaboration and coordination during computer-supported collaborative learning

    NARCIS (Netherlands)

    Janssen, J.J.H.M.

    2008-01-01

    This thesis addresses the topic of computer-supported collaborative learning (CSCL in short). In a CSCL-environment, students work in small groups on complex and challenging tasks. Although the teacher guides this process at a distance, students have to regulate and monitor their own learning

  15. Learning Resource Centre in a Company

    Directory of Open Access Journals (Sweden)

    Aleksander Pokovec

    2001-12-01

    Full Text Available In the conditions of growing competition people are becoming the essential competitive advantage. Because of too much work, stress, too many responsibilities and other factors, employees are often unmotivated. Everyday self-study is the best way that leads to excellence. In order to enable self-study for all employees, the organisation should organise their own learning resource centre that includes: educational videoprogrammes, audio tapes, books and e-learning programmes. All educational programmes should cover business and personal topics.

  16. Bare quantifier fronting as contrastive topicalization

    Directory of Open Access Journals (Sweden)

    Ion Giurgea

    2015-11-01

    Full Text Available I argue that indefinites (in particular bare quantifiers such as ‘something’, ‘somebody’, etc. which are neither existentially presupposed nor in the restriction of a quantifier over situations, can undergo topicalization in a number of Romance languages (Catalan, Italian, Romanian, Spanish, but only if the sentence contains “verum” focus, i.e. focus on a high degree of certainty of the sentence. I analyze these indefinites as contrastive topics, using Büring’s (1999 theory (where the term ‘S-topic’ is used for what I call ‘contrastive topic’. I propose that the topic is evaluated in relation to a scalar set including generalized quantifiers such as {lP $x P(x, lP MANYx P(x, lP MOSTx P(x, lP “xP(x} or {lP $xP(x, lP P(a, lP P(b …}, and that the contrastive topic is the weakest generalized quantifier in this set. The verum focus, which is part of the “comment” that co-occurs with the “Topic”, introduces a set of alternatives including degrees of certainty of the assertion. The speaker asserts that his claim is certainly true or highly probable, contrasting it with stronger claims for which the degree of probability is unknown. This explains the observation that in downward entailing contexts, the fronted quantified DPs are headed by ‘all’ or ‘many’, whereas ‘some’, small numbers or ‘at least n’ appear in upward entailing contexts. Unlike other cases of non-specific topics, which are property topics, these are quantifier topics: the topic part is a generalized quantifier, the comment is a property of generalized quantifiers. This explains the narrow scope of the fronted quantified DP.

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

    Science.gov (United States)

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

    2015-04-01

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

  18. Recent developments in learning control and system identification for robots and structures

    Science.gov (United States)

    Phan, M.; Juang, J.-N.; Longman, R. W.

    1990-01-01

    This paper reviews recent results in learning control and learning system identification, with particular emphasis on discrete-time formulation, and their relation to adaptive theory. Related continuous-time results are also discussed. Among the topics presented are proportional, derivative, and integral learning controllers, time-domain formulation of discrete learning algorithms. Newly developed techniques are described including the concept of the repetition domain, and the repetition domain formulation of learning control by linear feedback, model reference learning control, indirect learning control with parameter estimation, as well as related basic concepts, recursive and non-recursive methods for learning identification.

  19. Resources for Topics in Architecture.

    Science.gov (United States)

    Van Noate, Judith, Comp.

    This guide for conducting library research on topics in architecture or on the work of a particular architect presents suggestions for utilizing four categories of resources: books, dictionaries and encyclopedias, indexes, and a periodicals and series list (PASL). Two topics are researched as examples: the contemporary architect Richard Meier, and…

  20. Web directories as topical context

    NARCIS (Netherlands)

    Kaptein, R.; Kamps, J.; Aly, R.; Hauff, C.; den Hamer, I.; Hiemstra, D.; Huibers, T.; de Jong, F.

    2009-01-01

    In this paper we explore whether the Open Directory (or DMOZ) can be used to classify queries into topical categories on different levels and whether we can use this topical context to improve retrieval performance. We have set up a user study to let test persons explicitly classify queries into

  1. Difficulties in initial algebra learning in Indonesia

    NARCIS (Netherlands)

    Jupri, Al; Drijvers, Paulus; van den Heuvel - Panhuizen, Marja

    2014-01-01

    Within mathematics curricula, algebra has been widely recognized as one of the most difficult topics, which leads to learning difficulties worldwide. In Indonesia, algebra performance is an important issue. In the Trends in International Mathematics and Science Study (TIMSS) 2007, Indonesian

  2. Knowledge Management: Individual versus organizational learning

    Directory of Open Access Journals (Sweden)

    Noemí Martínez Caraballo

    2007-07-01

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

  3. Students' perceptions of a blended learning pharmacy seminar course in a Caribbean school of pharmacy.

    Science.gov (United States)

    Extavour, Rian Marie; Allison, Gillian L

    2018-04-01

    Blended learning (BL) integrates face-to-face and online instructional methods, with applications in pharmacy education. This study aimed to assess pharmacy students' perceptions of BL in a pharmacy seminar course at The University of the West Indies, St. Augustine campus, Trinidad and Tobago. Topics based on the use of medicines and public health were presented by student groups during live seminars, supplemented with online activities. An online survey of students' perceptions was administered at the end of the course. The usefulness of learning resources and course activities were assessed using 5-point Likert-like scales (1 = not helpful to 5 = very helpful). The effectiveness of the instructor, blended delivery, time value, and development of critical-thinking were rated on a 5-point Likert scale for agreement (1 = strongly disagree to 5 = strongly agree). Topics that were most instructive and additional topics of interest were also identified. Approximately 51% of students (37/72) completed the questionnaire; 73% were female and mean age was 24 years. The learning resources and most course activities were generally helpful (median = 4) in facilitating learning. There was strong agreement (median = 5) on the ease of navigating the online platform, and instructor encouraging interest in pharmacy issues. Students agreed (median = 4) that the course facilitated critical thinking, the BL approach was effective, and the time spent was worthwhile. The most instructive topics included medication errors, antibiotic resistance, and medicines in children and the elderly. BL in pharmacy seminars is a valuable approach to engage students learning about pharmacy and public health. Copyright © 2017 Elsevier Inc. All rights reserved.

  4. Link-topic model for biomedical abbreviation disambiguation.

    Science.gov (United States)

    Kim, Seonho; Yoon, Juntae

    2015-02-01

    The ambiguity of biomedical abbreviations is one of the challenges in biomedical text mining systems. In particular, the handling of term variants and abbreviations without nearby definitions is a critical issue. In this study, we adopt the concepts of topic of document and word link to disambiguate biomedical abbreviations. We newly suggest the link topic model inspired by the latent Dirichlet allocation model, in which each document is perceived as a random mixture of topics, where each topic is characterized by a distribution over words. Thus, the most probable expansions with respect to abbreviations of a given abstract are determined by word-topic, document-topic, and word-link distributions estimated from a document collection through the link topic model. The model allows two distinct modes of word generation to incorporate semantic dependencies among words, particularly long form words of abbreviations and their sentential co-occurring words; a word can be generated either dependently on the long form of the abbreviation or independently. The semantic dependency between two words is defined as a link and a new random parameter for the link is assigned to each word as well as a topic parameter. Because the link status indicates whether the word constitutes a link with a given specific long form, it has the effect of determining whether a word forms a unigram or a skipping/consecutive bigram with respect to the long form. Furthermore, we place a constraint on the model so that a word has the same topic as a specific long form if it is generated in reference to the long form. Consequently, documents are generated from the two hidden parameters, i.e. topic and link, and the most probable expansion of a specific abbreviation is estimated from the parameters. Our model relaxes the bag-of-words assumption of the standard topic model in which the word order is neglected, and it captures a richer structure of text than does the standard topic model by considering

  5. Building Maintenance. Math Learning Activity Packet.

    Science.gov (United States)

    Grant, Shelia I.

    This collection of learning activities is intended for use in reinforcing mathematics instruction as it relates to building maintenance. Fifty activity sheets are provided. These are organized into units on the following topics: numeration, adding whole numbers, subtracting whole numbers, multiplying whole numbers, dividing whole numbers,…

  6. Unsupervised topic discovery by anomaly detection

    OpenAIRE

    Cheng, Leon

    2013-01-01

    Approved for public release; distribution is unlimited With the vast amount of information and public comment available online, it is of increasing interest to understand what is being said and what topics are trending online. Government agencies, for example, want to know what policies concern the public without having to look through thousands of comments manually. Topic detection provides automatic identification of topics in documents based on the information content and enhances many ...

  7. Topical cyclosporine for atopic keratoconjunctivitis.

    Science.gov (United States)

    González-López, Julio J; López-Alcalde, Jesús; Morcillo Laiz, Rafael; Fernández Buenaga, Roberto; Rebolleda Fernández, Gema

    2012-09-12

    Atopic keratoconjunctivitis (AKC) is a chronic ocular surface non-infectious inflammatory condition that atopic dermatitis patients may suffer at any time point in the course of their dermatologic disease and is independent of its degree of severity. AKC is usually not self resolving and it poses a higher risk of corneal injuries and severe sequelae. Management of AKC should prevent or treat corneal damage. Although topical corticosteroids remain the standard treatment for patients with AKC, prolonged use may lead to complications. Topical cyclosporine A (CsA) may improve AKC signs and symptoms, and be used as a corticosteroid sparing agent. To determine the efficacy and gather evidence on safety from randomised controlled trials (RCTs) of topical CsA in patients with AKC. We searched CENTRAL (which contains the Cochrane Eyes and Vision Group Trials Register) (The Cochrane Library 2012, Issue 6), MEDLINE (January 1946 to July 2012), EMBASE (January 1980 to July 2012), Latin American and Caribbean Literature on Health Sciences (LILACS) (January 1982 to July 2012), Cumulative Index to Nursing and Allied Health Literature (CINAHL) (January 1937 to July 2012), OpenGrey (System for Information on Grey Literature in Europe) (www.opengrey.eu/), the metaRegister of Controlled Trials (mRCT) (www.controlled-trials.com), ClinicalTrials.gov (www.clinicaltrials.gov), the WHO International Clinical Trials Registry Platform (ICTRP) (www.who.int/ictrp/search/en), the IFPMA Clinical Trials Portal (http://clinicaltrials.ifpma.org/no_cache/en/myportal/index.htm) and Web of Science Conference Proceedings Citation Index- Science (CPCI-S). We did not use any date or language restrictions in the electronic searches for trials. The electronic databases were last searched on 9 July 2012. We also handsearched the following conference proceedings: American Academy of Ophthalmology, Association for Research in Vision and Ophthalmology, International Council of Opthalmology and Societas

  8. 21 CFR 868.5170 - Laryngotracheal topical anesthesia applicator.

    Science.gov (United States)

    2010-04-01

    ... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Laryngotracheal topical anesthesia applicator. 868... topical anesthesia applicator. (a) Identification. A laryngotracheal topical anesthesia applicator is a device used to apply topical anesthetics to a patient's laryngotracheal area. (b) Classification. Class...

  9. Fostering Environmental Knowledge and Action through Online Learning Resources

    DEFF Research Database (Denmark)

    Maier, Carmen Daniela

    2010-01-01

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

  10. Captivating Lifelong Learners in the Third Age: Lessons Learned from a University-Based Institute

    Science.gov (United States)

    Talmage, Craig A.; Lacher, R. Geoffrey; Pstross, Mikulas; Knopf, Richard C.; Burkhart, Karla A.

    2015-01-01

    The prevalence of learning providers for third agers continues to expand alongside the growth of the older adult population, yet there remains little empirical evidence on what types of learning experiences are most desired by lifelong learners. This article examines the effects that different learning topics have on attendance at classes hosted…

  11. 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...

  12. Suggestopedia and Its Application to the Education of Children with Learning Disabilities.

    Science.gov (United States)

    Brownlee, Phyllis Perdew

    The author examines literature and research relating to the use of suggestopedia, suggestive-accelerative learning and teaching--SALT, with learning disabled children. Chapter I introduces the topic of suggestopedia with definitions of related terminology, and information on the purpose, significance, and limitations of the study to investigate…

  13. Implementation of Outcome-Based Education in Universiti Putra Malaysia: A Focus on Students' Learning Outcomes

    Science.gov (United States)

    Mohayidin, Mohd Ghazali; Suandi, Turiman; Mustapha, Ghazali; Konting, Mohd. Majid; Kamaruddin, Norfaryanti; Man, Nor Azirawani; Adam, Azura; Abdullah, Siti Norziah

    2008-01-01

    The move towards applying outcome-based education in teaching and learning at tertiary education level has become an important topic in Malaysia. Apart from the three learning domains; namely, cognitive, psychomotor and affective, the Ministry of Higher Education has determined eight learning outcomes which are important in providing wholesome…

  14. Organizational Learning in the Hotel Industry: an eclectic instrument of measurement

    OpenAIRE

    Fernandes, A. L.; Laureano, R. M. S.; Alturas, B.

    2018-01-01

    Organizational Learning, despite being a widely debated topic in the literature on management, regarding the hotel industry still suffers from scattered information. This study was conducted with 295 professionals, among them managers and employees of hotels in Brazil and Portugal in order to validate a measuring instrument of organizational learning, properly adapted for hotel industry, and identify differences in the degree of efficiency of the organizational learning process between hotels...

  15. Topical therapy of atopic dermatitis: controversies from Hippocrates to topical immunomodulators.

    Science.gov (United States)

    Tilles, Gérard; Wallach, Daniel; Taïeb, Alain

    2007-02-01

    Although atopic dermatitis can be treated efficiently, there is still much controversy about the risk/benefit ratio of both topical corticosteroids and topical immunomodulators. Conflicting data may be found about the usefulness of bathing, diet regulation, and other therapeutic interventions. These controversies result in part from the persistence of Hippocratic doctrines in modern medical thinking. Humoralist and diathetic doctrines, as they pertain to eczema, are reviewed. The paradoxical worsening of oozing and the deadly hazards of hospitalization before the era of antibiotics are brought to mind. We hope that this historical review will improve the understanding of current controversies and help dermatologists to manage patients with atopic dermatitis and other chronic skin diseases.

  16. Neural networks and statistical learning

    CERN Document Server

    Du, Ke-Lin

    2014-01-01

    Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardw...

  17. Learning profiles of Master students

    DEFF Research Database (Denmark)

    Sprogøe, Jonas; Hemmingsen, Lis

    2005-01-01

    at DPU in 2001 several evaluations and research have been carried out on several topics relating to form, content, and didactics, but one important focus is missing: the research about the psychological profile and learning style of the master student. Knowledge is lacking on how teaching methods......Master education as a part of lifelong learning/education has over the last years increased in Denmark. Danish Universities now offer more than110 different programmes. One of the characteristics of the master education is that the students get credits for their prior learning and practical work...... experiences, and during the study/education theory and practise is combined. At the Master of Adult Learning and Human Resource Development, one of DPU´s master programmes, the students have a very diverse background and have many different experiences and practises. Since the first programme was introduced...

  18. Topic Time Series Analysis of Microblogs

    Science.gov (United States)

    2014-10-01

    may be distributed more globally. Tweets on a specific topic that cluster spatially, temporally or both might be of interest to analysts, marketers ...of $ and @, with the latter only in the case that it is the only character in the token (the @ symbol is significant in its usage by Instagram in...is generated by Instagram . Topic 80, Distance: 143.2101 Top words: 1. rawr 2. ˆ0ˆ 3. kill 4. jurassic 5. dinosaur Analysis: This topic is quite

  19. Topic modelling in the information warfare domain

    CSIR Research Space (South Africa)

    De Waal, A

    2013-11-01

    Full Text Available for interesting and relevant topics. The objectives of this paper is to describe topic modelling, put it in context as a useful IW technique and illustrate its use with two examples. They discuss several applications of topic modelling in the safety and security...

  20. Task-Driven Comparison of Topic Models.

    Science.gov (United States)

    Alexander, Eric; Gleicher, Michael

    2016-01-01

    Topic modeling, a method of statistically extracting thematic content from a large collection of texts, is used for a wide variety of tasks within text analysis. Though there are a growing number of tools and techniques for exploring single models, comparisons between models are generally reduced to a small set of numerical metrics. These metrics may or may not reflect a model's performance on the analyst's intended task, and can therefore be insufficient to diagnose what causes differences between models. In this paper, we explore task-centric topic model comparison, considering how we can both provide detail for a more nuanced understanding of differences and address the wealth of tasks for which topic models are used. We derive comparison tasks from single-model uses of topic models, which predominantly fall into the categories of understanding topics, understanding similarity, and understanding change. Finally, we provide several visualization techniques that facilitate these tasks, including buddy plots, which combine color and position encodings to allow analysts to readily view changes in document similarity.

  1. Topical Session on Materials Management

    International Nuclear Information System (INIS)

    2002-01-01

    At its second meeting, in Paris, 5-7 December 2001, the WPDD held two topical sessions on the D and D Safety Case and on the Management of Materials from D and D, respectively. This report documents the topical session on the management of materials. Presentations during the topical session covered key aspects of the management of materials and meant to provide an exchange of information and experience, including: Experience and lessons learnt from VLLW and non-radioactive material management in Spain and Germany with special attention to recycling (How specific solutions came about? Are there 'generic' examples for wider adoption?); Risk assessment of recycling and non-recycling: a CPD study; Waste acceptance issues within different national contexts (What constraints are there on the waste receiving body and what flexibility can the latter have? What constraints does this impose on D and D implementers? What about wastes are without current solution? What needs to be done? What about large items and 'difficult' waste in general?); Radiological characterisation of materials during decommissioning, particularly difficult situations - large volumes, large items,.. wastes, heterogeneous streams (What examples of established practice? What are the approaches or aspects that set the regulatory requirements? How can the flow rates be large but the answers acceptable? How much is needed to be known for later action, e. g., disposal, release, protection of worker, etc.); Radiological characterisation of buildings as they stand, in order to allow conventional demolition (What are strategies for optimisation of characterisation? How much needs to be known to take action later? e.g. for storage, disposal, release, cost estimation and ALARA? What needs to be done in advance and after decommissioning/dismantling?). At the end of each presentation time was allotted for discussion of the paper. Integral to the Topical Session was a facilitated plenary discussion on the topical

  2. Interactive Apps Promote Learning of Basic Mathematics in Children With Special Educational Needs and Disabilities.

    Science.gov (United States)

    Pitchford, Nicola J; Kamchedzera, Elizabeth; Hubber, Paula J; Chigeda, Antonie L

    2018-01-01

    Interactive apps delivered on touch-screen tablets can be effective at supporting the acquisition of basic skills in mainstream primary school children. This technology may also be beneficial for children with Special Educational Needs and Disabilities (SEND) as it can promote high levels of engagement with the learning task and an inclusive learning environment. However, few studies have measured extent of learning for SEND pupils when using interactive apps, so it has yet to be determined if this technology is effective at raising attainment for these pupils. We report the first observational study of a group of 33 pupils with SEND from two primary schools in Malawi that are implementing a new digital technology intervention which uses touch-screen tablets to deliver interactive apps designed to teach basic mathematical skills. The apps contain topics that align to the national curriculum. To assess learning gains, rate of progress (minutes per topic) for each pupil was determined by calculating the average time taken to complete a topic. Progress rate was then correlated with teacher ratings of extent of disability and independent ratings of pupil engagement with the apps. Results showed SEND pupils could interact with the apps and all pupils passed at least one topic. Average progress rate for SEND pupils was twice as long as mainstream peers. Stepwise regression revealed extent of disability significantly predicted progress rate. Further exploratory correlations revealed pupils with moderate to severe difficulties with hearing and/or language made slower progress through the apps than those with greater functionality in these two domains because the use of verbal instructions within the apps limited their capacity to learn. This original quantitative analysis demonstrates that interactive apps can raise learning standards in pupils with SEND but may have limited utility for pupils with severe difficulties. Software modifications are needed to address specific

  3. Engage Families for Anywhere, Anytime Learning

    Science.gov (United States)

    Weiss, Heather B.; Lopez, M. Elena

    2015-01-01

    As society expects children and youth today to explore content-area topics in depth and to develop critical-thinking, problem-solving, and analytical skills, out-of-school settings are becoming increasingly important to individual learning. These settings, which include libraries, museums, digital media, and after-school programs, are evolving…

  4. Topical steroid addiction in atopic dermatitis

    Directory of Open Access Journals (Sweden)

    Fukaya M

    2014-10-01

    Full Text Available Mototsugu Fukaya,1 Kenji Sato,2 Mitsuko Sato,3 Hajime Kimata,4 Shigeki Fujisawa,5 Haruhiko Dozono,6 Jun Yoshizawa,7 Satoko Minaguchi8 1Tsurumai Kouen Clinic, Nagoya, 2Department of Dermatology, Hannan Chuo Hospital, Osaka, 3Sato Pediatric Clinic, Osaka, 4Kimata Hajime Clinic, Osaka, 5Fujisawa Dermatology Clinic, Tokyo, 6Dozono Medical House, Kagoshima, 7Yoshizawa Dermatology Clinic, Yokohama, 8Department of Dermatology, Kounosu Kyousei Hospital, Saitama, Japan Abstract: The American Academy of Dermatology published a new guideline regarding topical therapy in atopic dermatitis in May 2014. Although topical steroid addiction or red burning skin syndrome had been mentioned as possible side effects of topical steroids in a 2006 review article in the Journal of the American Academy of Dermatology, no statement was made regarding this illness in the new guidelines. This suggests that there are still controversies regarding this illness. Here, we describe the clinical features of topical steroid addiction or red burning skin syndrome, based on the treatment of many cases of the illness. Because there have been few articles in the medical literature regarding this illness, the description in this article will be of some benefit to better understand the illness and to spur discussion regarding topical steroid addiction or red burning skin syndrome. Keywords: topical steroid addiction, atopic dermatitis, red burning skin syndrome, rebound, corticosteroid, eczema

  5. Lifelong Learning as a goal - Do autonomy and self-regulation in school result in well prepared pupils?

    NARCIS (Netherlands)

    Lüftenegger, M.; Schober, B.; Van de Schoot, R.; Wagner, P.; Finsterwald, M.; Spiel, C.

    2012-01-01

    Fostering lifelong learning (LLL) is a topic of high relevance for current educational policy. School lays the cornerstone for the key components of LLL, specifically persistent motivation to learn and self-regulated learning behavior. The present study investigated the impact of classroom

  6. A Familiar(ity Problem: Assessing the Impact of Prerequisites and Content Familiarity on Student Learning.

    Directory of Open Access Journals (Sweden)

    Justin F Shaffer

    Full Text Available Prerequisites are embedded in most STEM curricula. However, the assumption that the content presented in these courses will improve learning in later courses has not been verified. Because a direct comparison of performance between students with and without required prerequisites is logistically difficult to arrange in a randomized fashion, we developed a novel familiarity scale, and used this to determine whether concepts introduced in a prerequisite course improved student learning in a later course (in two biology disciplines. Exam questions in the latter courses were classified into three categories, based on the degree to which the tested concept had been taught in the prerequisite course. If content familiarity mattered, it would be expected that exam scores on topics covered in the prerequisite would be higher than scores on novel topics. We found this to be partially true for "Very Familiar" questions (concepts covered in depth in the prerequisite. However, scores for concepts only briefly discussed in the prerequisite ("Familiar" were indistinguishable from performance on topics that were "Not Familiar" (concepts only taught in the later course. These results imply that merely "covering" topics in a prerequisite course does not result in improved future performance, and that some topics may be able to removed from a course thereby freeing up class time. Our results may therefore support the implementation of student-centered teaching methods such as active learning, as the time-intensive nature of active learning has been cited as a barrier to its adoption. In addition, we propose that our familiarity system could be broadly utilized to aid in the assessment of the effectiveness of prerequisites.

  7. A Familiar(ity) Problem: Assessing the Impact of Prerequisites and Content Familiarity on Student Learning.

    Science.gov (United States)

    Shaffer, Justin F; Dang, Jennifer V; Lee, Amanda K; Dacanay, Samantha J; Alam, Usman; Wong, Hollie Y; Richards, George J; Kadandale, Pavan; Sato, Brian K

    2016-01-01

    Prerequisites are embedded in most STEM curricula. However, the assumption that the content presented in these courses will improve learning in later courses has not been verified. Because a direct comparison of performance between students with and without required prerequisites is logistically difficult to arrange in a randomized fashion, we developed a novel familiarity scale, and used this to determine whether concepts introduced in a prerequisite course improved student learning in a later course (in two biology disciplines). Exam questions in the latter courses were classified into three categories, based on the degree to which the tested concept had been taught in the prerequisite course. If content familiarity mattered, it would be expected that exam scores on topics covered in the prerequisite would be higher than scores on novel topics. We found this to be partially true for "Very Familiar" questions (concepts covered in depth in the prerequisite). However, scores for concepts only briefly discussed in the prerequisite ("Familiar") were indistinguishable from performance on topics that were "Not Familiar" (concepts only taught in the later course). These results imply that merely "covering" topics in a prerequisite course does not result in improved future performance, and that some topics may be able to removed from a course thereby freeing up class time. Our results may therefore support the implementation of student-centered teaching methods such as active learning, as the time-intensive nature of active learning has been cited as a barrier to its adoption. In addition, we propose that our familiarity system could be broadly utilized to aid in the assessment of the effectiveness of prerequisites.

  8. PENINGKATAN KUALITAS PEMBELAJARAN STUDI KELAYAKAN BISNIS MELALUI METODE LEARNING CYCLE

    Directory of Open Access Journals (Sweden)

    Syamsu Hadi

    2011-05-01

    Full Text Available The objectives of the study are to improve the quality of learning for Studi Kelayakan Bisnis (Business Feasibility Study, to improve students’ spirit in learning, to improve lecturers’ skill in developing learning model and media and  also to improve students’ achievement in learning. This study was class action research consists of three cycles. Result of study showed students’ achievement was improving on each cycle. Students’ learning completeness before applying Learning Cycle method was 0%, after applying Learning Cycle method; students’ achievement after final test was 94%. Students’ interest, activeness and relationship in learning process with range 1-4, the result was good (3.2. Result of observation related to lecturers’ skill in managing the learning process which used map concept method with range 1-4 showed a good result with average of cycle 1, cycle 2 and cycle 3 was 3.2. That score was the average of all aspects investigated on three cycles. Based on result of study, it was suggested that for lecturers of Business Feasibility Study subject to apply Learning Cycle method in teaching-learning process. This method was approved to improve students’ ability to analyze the case and understand the concepts of Business Feasibility Study. This was because students are given opportunity to do research in the field related to the topic and then find the problems that will be discussed in the class. Thus, students are usual to think critically and analytically to face a case. And finally, students can find the topics concepts. Moreover, result of study can be applied for other subjects because this study gives the positive impact. Key words: The Quality of Learning, Business Feasibility Study Subject, LearningCycle Method

  9. The effectiveness of integration of virtual patients in a collaborative learning activity.

    Science.gov (United States)

    Marei, Hesham F; Donkers, Jeroen; Van Merrienboer, Jeroen J G

    2018-05-07

    Virtual patients (VPs) have been recently integrated within different learning activities. To compare between the effect of using VPs in a collaborative learning activity and using VPs in an independent learning activity on students' knowledge acquisition, retention and transfer. For two different topics, respectively 82 and 76 dental students participated in teaching, learning and assessment sessions with VPs. Students from a female campus and from a male campus have been randomly assigned to condition (collaborative and independent), yielding four experimental groups. Each group received a lecture followed by a learning session using two VPs per topic. Students were administrated immediate and delayed written tests as well as transfer tests using two VPs to assess their knowledge in diagnosis and treatment. For the treatment items of the immediate and delayed written tests, females outperformed males in the collaborative VP group but not in the independent VP group. On the female campus, the use of VPs in a collaborative learning activity is more effective than its use as an independent learning activity in enhancing students' knowledge acquisition and retention. However, the collaborative use of VPs by itself is not enough to produce consistent results across different groups of students and attention should be given to all the factors that would affect students' interaction.

  10. Let's start learning radiation. Supplementary material on radiation for secondary school students

    International Nuclear Information System (INIS)

    Watanabe, Yoko; Yamashita, Kiyonobu; Shimada, Mayuka

    2015-01-01

    The Japan Atomic Energy Agency has been organizing training programs for engineers in Asian countries introducing nuclear technology. In 2012, we launched a course ‘Basic Radiation Knowledge for School Education’ as we thought disseminating accurate knowledge on radiation to school students and public would also be important in those countries after Fukushima-Daiichi nuclear power station accident. Ministry of Education, Culture, Sports, Science and Technology - Japan published supplemental learning material on radiation for secondary school students and teachers in Japanese in October 2011. Since the learning material is designed to give a clear explanation of radiation and covers various topics, we thought it would also be beneficial for young students in the world if a learning material in English was available. Therefore, we made a new learning material in English using the topics covered in supplemental learning material on radiation in Japanese as a reference. This learning material has been favourably evaluated by the International Atomic Energy Agency (IAEA) and will be widely used as a practical educational tool in many countries around the world through the IAEA. (author)

  11. Revealing the Structural Complexity of Component Interactions of Topic-Specific PCK when Planning to Teach

    Science.gov (United States)

    Mavhunga, Elizabeth

    2018-04-01

    Teaching pedagogical content knowledge (PCK) at a topic-specific level requires clarity on the content-specific nature of the components employed, as well as the specific features that bring about the desirable depth in teacher explanations. Such understanding is often hazy; yet, it influences the nature of teacher tasks and learning opportunities afforded to pre-service teachers in a teaching program. The purpose of this study was twofold: firstly, to illuminate the emerging complexity when content-specific components of PCK interact when planning to teach a chemistry topic; and secondly, to identify the kinds of teacher tasks that promote the emergence of such complexity. Data collected were content representations (CoRes) in chemical equilibrium accompanied by expanded lesson outlines from 15 pre-service teachers in their final year of study towards a first degree in teaching (B Ed). The analysis involved extraction of episodes that exhibited component interaction by using a qualitative in-depth analysis method. The results revealed the structure in which the components of PCK in a topic interact among each other to be linear, interwoven, or a combination of the two. The interwoven interactions contained multiple components that connected explanations on different aspects of a concept, all working in a complementary manner. The most sophisticated component interactions emerged from teacher tasks on descriptions of a lesson sequence and a summary of a lesson. Recommendations in this study highlight core practices for making pedagogical transformation of topic content knowledge more accessible.

  12. Influence of the temperature on materials electric behaviour: Understanding and students’ learning difficulties

    Directory of Open Access Journals (Sweden)

    Antonio García Carmona

    2006-03-01

    Full Text Available In this article, we defend that in the teaching/learning of the electricity, its contents must be associa ted with contents concerning the structure and behaviour of the matter. Thus, it is possible to understand some electricity topics as the influence of the temperature on electric behaviour of materials. In this sense, we propose a conceptual framework for its teaching, coherent with the Spanish Physics and Chemistry curriculum of Secondary Education. Likewise, we show the results of a research carried out with 60 pupils (age 14-15, about theirs understanding levels and theirs learning difficulties regarding considered topic.

  13. Magic Learning Pill: Ontological and Instrumental Learning in Order to Speed Up Education.

    Science.gov (United States)

    Matusov, Eugene; Baker, Daniella; Fan, Yueyue; Choi, Hye Jung; L Hampel, Robert

    2017-09-01

    The purpose of this research is to investigate the phenomenology of learning - people"s attitudes toward their learning experiences that have inherent worth in themselves (i.e., ontological learning) or have value outside of the learning itself (i.e., instrumental learning). In order to explore this topic, 58 participants from the U.S., Russia, and Brazil were interviewed with a central question derived from the science fiction writer Isaac Asimov's short story "Profession": whether participants would take a "Magic Learning Pill" (MLP) to avoid the process of learning, and instead magically acquire the knowledge. The MLP would guarantee the immediate learning by skipping the process of learning while achieving the same effect of gaining skills and knowledge. Almost all participants could think of some learning experiences for which they would take MLP and others for which they would not. Many participants would not take MLP for ontological learning, which is learning experiences that have inherent value for the people, while they would take MLP for instrumental learning, which is learning that mainly serves some other non-educational purposes. The main finding suggests that both instrumental and ontological types of learning are recognized by a wide range of people from diverse cultures as present and valued in their lives. This is especially significant in light of the overwhelmingly instrumental tone of public discourse about education. In the context of formal education, ontological learning was mentioned 35 times (28.0%) while instrumental learning was mentioned 74 times (60.2%). Although ontological learning was often mentioned as taking place outside of school, incorporating pedagogy supporting ontological learning at school deserves consideration.

  14. Learning Together Through International Collaborative Writing Groups

    Directory of Open Access Journals (Sweden)

    Mick Healey

    2017-03-01

    Full Text Available The International Collaborative Writing Groups (ICWG initiative creates a space for ongoing collaboration amongst scholars of teaching and learning who co-author a manuscript on a topic of shared interest. The second ICWG, linked to the 2015 International Society for the Scholarship of Teaching and Learning Conference in Melbourne, Australia, involved 59 scholars from 11 countries. In this piece, we describe the aims, process, and outcomes for the ICWG, comparing it with the first ICWG in 2012. While international collaboration around a topic of shared interest is generally viewed positively, the realities of collaborating online with limited face-to-face interactions to complete a manuscript can be challenging. We argue, despite such challenges, that ongoing collaboration amongst scholars is vital to the scholarship of teaching and learning (SoTL movement. Drawing on our experience of leading the overall ICWG initiative and our research into participants’ experiences, we suggest there are individual dispositions toward collaboration that enrich and enable successful participation in ICWG experiences. We end by highlighting the final products arising from almost two year of collaborative thinking and writing from six groups.

  15. Eye Wear: MedlinePlus Health Topic

    Science.gov (United States)

    ... When You Exercise (National Institute on Aging) - PDF Topic Image MedlinePlus Email Updates Get Eye Wear updates by email What's this? GO Related Health Topics Refractive Errors National Institutes of Health The primary ...

  16. 21 CFR 524.1193 - Ivermectin topical solution.

    Science.gov (United States)

    2010-04-01

    ... 21 Food and Drugs 6 2010-04-01 2010-04-01 false Ivermectin topical solution. 524.1193 Section 524...) ANIMAL DRUGS, FEEDS, AND RELATED PRODUCTS OPHTHALMIC AND TOPICAL DOSAGE FORM NEW ANIMAL DRUGS § 524.1193 Ivermectin topical solution. (a) Specifications. Each milliliter (mL) of solution contains 5 milligrams of...

  17. Systematic Review of Two Decades (1995 to 2014) of Research on Synchronous Online Learning

    Science.gov (United States)

    Martin, Florence; Ahlgrim-Delzell, Lynn; Budhrani, Kiran

    2017-01-01

    Systematic reviews of literature are studies that strategically search for published research on a specific topic in order to synthesize what is known about the topic. This systematic review describes 157 articles on synchronous online learning (SOL) from thirty-four different countries on instructional setting, content areas, participant…

  18. General informatics teaching with B-Learning teaching model

    Directory of Open Access Journals (Sweden)

    Nguyen The Dung

    2018-03-01

    Full Text Available Blended learning (B-learning, a combination of face-to-face teaching and E-learning-supported-teaching in an online course, and Information and Communication Technology (ICT tools have been studied in recent years. In addition, the use of this teaching model is effective in teaching and learning conditions in which some certain subjects are appropriate for the specific teaching context. As it has been a matter of concern of the universities in Vietnam today, deep studies related to this topic is crucial to be conducted. In this article, the process of developing online courses and organizing teaching for the General Informatics subject for first-year students at the Hue University of Education with B-learning teaching model will be presented. The combination of 60% face-to-face and 40% online learning.

  19. Eosinophilic Esophagitis: MedlinePlus Health Topic

    Science.gov (United States)

    ... Esophagitis (EoE) (American Academy of Allergy, Asthma, and Immunology) Also in Spanish Latest News Eosinophilic Esophagitis May ... Pediatric and Adolescent Patients (American College of Gastroenterology) Topic Image Related Health Topics Eosinophilic Disorders Esophagus Disorders ...

  20. Female Infertility: MedlinePlus Health Topic

    Science.gov (United States)

    ... Prolactin blood test (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Female Infertility updates ... Serum progesterone Show More Show Less Related Health Topics Assisted Reproductive Technology Infertility Male Infertility National Institutes ...

  1. Mobility Aids: MedlinePlus Health Topic

    Science.gov (United States)

    ... Mobility Problems (AGS Foundation for Health in Aging) Topic Image MedlinePlus Email Updates Get Mobility Aids updates ... standing and walking Using a cane Related Health Topics Assistive Devices Other Languages Find health information in ...

  2. Genetic Testing: MedlinePlus Health Topic

    Science.gov (United States)

    ... Your Family's Health (National Institutes of Health) - PDF Topic Image MedlinePlus Email Updates Get Genetic Testing updates ... testing and your cancer risk Karyotyping Related Health Topics Birth Defects Genetic Counseling Genetic Disorders Newborn Screening ...

  3. Folic Acid: MedlinePlus Health Topic

    Science.gov (United States)

    ... acid in diet (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Folic Acid updates ... acid - test Folic acid in diet Related Health Topics Vitamins National Institutes of Health The primary NIH ...

  4. Pneumococcal Infections: MedlinePlus Health Topic

    Science.gov (United States)

    ... Prevention, Immunization Action Coalition) - PDF Also in Spanish Topic Image MedlinePlus Email Updates Get Pneumococcal Infections updates ... ray Meningitis - pneumococcal Sputum gram stain Related Health Topics Meningitis Pneumonia Sepsis Sinusitis Streptococcal Infections National Institutes ...

  5. Wilms' Tumor: MedlinePlus Health Topic

    Science.gov (United States)

    ... Spanish Wilms tumor (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Wilms Tumor updates ... ENCYCLOPEDIA After chemotherapy - discharge Wilms tumor Related Health Topics Kidney Cancer National Institutes of Health The primary ...

  6. Child Safety: MedlinePlus Health Topic

    Science.gov (United States)

    ... injuries in children (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Child Safety updates ... safety Preventing head injuries in children Related Health Topics Infant and Newborn Care Internet Safety Motor Vehicle ...

  7. Pneumocystis Infections: MedlinePlus Health Topic

    Science.gov (United States)

    ... Pneumocystis jiroveci pneumonia (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Pneumocystis Infections updates ... GO MEDICAL ENCYCLOPEDIA Pneumocystis jiroveci pneumonia Related Health Topics HIV/AIDS HIV/AIDS and Infections Pneumonia National ...

  8. Collapsed Lung: MedlinePlus Health Topic

    Science.gov (United States)

    ... Spanish Pneumothorax - infants (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Collapsed Lung updates ... Lung surgery Pneumothorax - slideshow Pneumothorax - infants Related Health Topics Chest Injuries and Disorders Lung Diseases Pleural Disorders ...

  9. Male Infertility: MedlinePlus Health Topic

    Science.gov (United States)

    ... Spanish Testicular biopsy (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Male Infertility updates ... analysis Sperm release pathway Testicular biopsy Related Health Topics Assisted Reproductive Technology Female Infertility Infertility National Institutes ...

  10. Healthy Aging: MedlinePlus Health Topic

    Science.gov (United States)

    ... Aging National Institute on Aging Also in Spanish Topic Image MedlinePlus Email Updates Get Healthy Aging updates ... 65 Health screening - women - over 65 Related Health Topics Exercise for Seniors Nutrition for Seniors Seniors' Health ...

  11. Psoriatic Arthritis: MedlinePlus Health Topic

    Science.gov (United States)

    ... Handouts Psoriatic arthritis (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Psoriatic Arthritis updates ... this? GO MEDICAL ENCYCLOPEDIA Psoriatic arthritis Related Health Topics Arthritis Psoriasis National Institutes of Health The primary ...

  12. Hip Replacement: MedlinePlus Health Topic

    Science.gov (United States)

    ... invasive hip replacement (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Hip Replacement updates ... replacement - precautions Minimally invasive hip replacement Related Health Topics Hip Injuries and Disorders National Institutes of Health ...

  13. Platelet Disorders: MedlinePlus Health Topic

    Science.gov (United States)

    ... Thromobocytopenia - drug-induced (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Platelet Disorders updates ... Willebrand disease Show More Show Less Related Health Topics Bleeding Disorders Blood Clots Blood Count Tests Blood ...

  14. Cardiac Rehabilitation: MedlinePlus Health Topic

    Science.gov (United States)

    ... in Spanish Electrocardiogram (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Cardiac Rehabilitation updates ... How to take your pulse Pulse Related Health Topics Heart Attack Heart Diseases How to Prevent Heart ...

  15. Cardiac Arrest: MedlinePlus Health Topic

    Science.gov (United States)

    ... Handouts Cardiac arrest (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Cardiac Arrest updates ... this? GO MEDICAL ENCYCLOPEDIA Cardiac arrest Related Health Topics Arrhythmia CPR Pacemakers and Implantable Defibrillators National Institutes ...

  16. Kawasaki Disease: MedlinePlus Health Topic

    Science.gov (United States)

    ... Spanish Kawasaki disease (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Kawasaki Disease updates ... GO MEDICAL ENCYCLOPEDIA Electrocardiogram Kawasaki disease Related Health Topics Vasculitis National Institutes of Health The primary NIH ...

  17. Diabetic Diet: MedlinePlus Health Topic

    Science.gov (United States)

    ... Sweeteners - sugar substitutes (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Diabetic Diet updates ... you have diabetes Sweeteners - sugar substitutes Related Health Topics Blood Sugar Diabetes Diabetes in Children and Teens ...

  18. Infection Control: MedlinePlus Health Topic

    Science.gov (United States)

    ... Staph infections - hospital (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Infection Control updates ... infections when visiting Staph infections - hospital Related Health Topics Hepatitis HIV/AIDS MRSA National Institutes of Health ...

  19. Hearing Aids: MedlinePlus Health Topic

    Science.gov (United States)

    ... for hearing loss (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Hearing Aids updates ... MEDICAL ENCYCLOPEDIA Devices for hearing loss Related Health Topics Cochlear Implants Hearing Disorders and Deafness National Institutes ...

  20. Kidney Tests: MedlinePlus Health Topic

    Science.gov (United States)

    ... Spanish Total protein (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Kidney Tests updates ... hour volume Show More Show Less Related Health Topics Kidney Cancer Kidney Diseases National Institutes of Health ...

  1. Ischemic Stroke: MedlinePlus Health Topic

    Science.gov (United States)

    ... Spanish Thrombolytic therapy (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Ischemic Stroke updates ... cardiogenic embolism Stroke - slideshow Thrombolytic therapy Related Health Topics Hemorrhagic Stroke Stroke Stroke Rehabilitation National Institutes of ...

  2. Pulmonary Rehabilitation: MedlinePlus Health Topic

    Science.gov (United States)

    ... Handouts Postural drainage (Medical Encyclopedia) Also in Spanish Topic Image MedlinePlus Email Updates Get Pulmonary Rehabilitation updates ... this? GO MEDICAL ENCYCLOPEDIA Postural drainage Related Health Topics Lung Diseases National Institutes of Health The primary ...

  3. A Reactive Blended Learning Proposal for an Introductory Control Engineering Course

    Science.gov (United States)

    Mendez, Juan A.; Gonzalez, Evelio J.

    2010-01-01

    As it happens in other fields of engineering, blended learning is widely used to teach process control topics. In this paper, the inclusion of a reactive element--a Fuzzy Logic based controller--is proposed for a blended learning approach in an introductory control engineering course. This controller has been designed in order to regulate the…

  4. common difficulties experienced by grade 12 students in learning

    African Journals Online (AJOL)

    Temechegn

    difficult topic student's experiences in learning chemistry is chemical bonding because ... students cooperative enterprise in science, organizing field trips, science ... related to organic, inorganic and physical chemistry that are to be learnt and ...

  5. Pragmatics & Language Learning. Volume 14

    Science.gov (United States)

    Bardovi-Harlig, Kathleen, Ed.; Félix-Brasdefer, J. César, Ed.

    2016-01-01

    This volume contains a selection of papers presented at the 2014 International Conference of Pragmatics and Language Learning at Indiana University. It includes fourteen papers on a variety of topics, with a diversity of first and second languages, and a wide range of methods used to collect pragmatic data in L2 and FL settings. This volume is…

  6. Antibiotic Resistance: MedlinePlus Health Topic

    Science.gov (United States)

    ... GO GO About MedlinePlus Site Map FAQs Customer Support Health Topics Drugs & Supplements Videos & Tools Español You Are Here: Home → Health Topics → Antibiotic Resistance URL of this page: https://medlineplus.gov/antibioticresistance. ...

  7. Computer-based teaching module design: principles derived from learning theories.

    Science.gov (United States)

    Lau, K H Vincent

    2014-03-01

    The computer-based teaching module (CBTM), which has recently gained prominence in medical education, is a teaching format in which a multimedia program serves as a single source for knowledge acquisition rather than playing an adjunctive role as it does in computer-assisted learning (CAL). Despite empirical validation in the past decade, there is limited research into the optimisation of CBTM design. This review aims to summarise research in classic and modern multimedia-specific learning theories applied to computer learning, and to collapse the findings into a set of design principles to guide the development of CBTMs. Scopus was searched for: (i) studies of classic cognitivism, constructivism and behaviourism theories (search terms: 'cognitive theory' OR 'constructivism theory' OR 'behaviourism theory' AND 'e-learning' OR 'web-based learning') and their sub-theories applied to computer learning, and (ii) recent studies of modern learning theories applied to computer learning (search terms: 'learning theory' AND 'e-learning' OR 'web-based learning') for articles published between 1990 and 2012. The first search identified 29 studies, dominated in topic by the cognitive load, elaboration and scaffolding theories. The second search identified 139 studies, with diverse topics in connectivism, discovery and technical scaffolding. Based on their relative representation in the literature, the applications of these theories were collapsed into a list of CBTM design principles. Ten principles were identified and categorised into three levels of design: the global level (managing objectives, framing, minimising technical load); the rhetoric level (optimising modality, making modality explicit, scaffolding, elaboration, spaced repeating), and the detail level (managing text, managing devices). This review examined the literature in the application of learning theories to CAL to develop a set of principles that guide CBTM design. Further research will enable educators to

  8. Chemical Topic Modeling: Exploring Molecular Data Sets Using a Common Text-Mining Approach.

    Science.gov (United States)

    Schneider, Nadine; Fechner, Nikolas; Landrum, Gregory A; Stiefl, Nikolaus

    2017-08-28

    Big data is one of the key transformative factors which increasingly influences all aspects of modern life. Although this transformation brings vast opportunities it also generates novel challenges, not the least of which is organizing and searching this data deluge. The field of medicinal chemistry is not different: more and more data are being generated, for instance, by technologies such as DNA encoded libraries, peptide libraries, text mining of large literature corpora, and new in silico enumeration methods. Handling those huge sets of molecules effectively is quite challenging and requires compromises that often come at the expense of the interpretability of the results. In order to find an intuitive and meaningful approach to organizing large molecular data sets, we adopted a probabilistic framework called "topic modeling" from the text-mining field. Here we present the first chemistry-related implementation of this method, which allows large molecule sets to be assigned to "chemical topics" and investigating the relationships between those. In this first study, we thoroughly evaluate this novel method in different experiments and discuss both its disadvantages and advantages. We show very promising results in reproducing human-assigned concepts using the approach to identify and retrieve chemical series from sets of molecules. We have also created an intuitive visualization of the chemical topics output by the algorithm. This is a huge benefit compared to other unsupervised machine-learning methods, like clustering, which are commonly used to group sets of molecules. Finally, we applied the new method to the 1.6 million molecules of the ChEMBL22 data set to test its robustness and efficiency. In about 1 h we built a 100-topic model of this large data set in which we could identify interesting topics like "proteins", "DNA", or "steroids". Along with this publication we provide our data sets and an open-source implementation of the new method (CheTo) which

  9. Networks and learning in game theory

    NARCIS (Netherlands)

    Kets, W.

    2008-01-01

    This work concentrates on two topics, networks and game theory, and learning in games. The first part of this thesis looks at network games and the role of incomplete information in such games. It is assumed that players are located on a network and interact with their neighbors in the network.

  10. A model of scientific attitudes assessment by observation in physics learning based scientific approach: case study of dynamic fluid topic in high school

    Science.gov (United States)

    Yusliana Ekawati, Elvin

    2017-01-01

    This study aimed to produce a model of scientific attitude assessment in terms of the observations for physics learning based scientific approach (case study of dynamic fluid topic in high school). Development of instruments in this study adaptation of the Plomp model, the procedure includes the initial investigation, design, construction, testing, evaluation and revision. The test is done in Surakarta, so that the data obtained are analyzed using Aiken formula to determine the validity of the content of the instrument, Cronbach’s alpha to determine the reliability of the instrument, and construct validity using confirmatory factor analysis with LISREL 8.50 program. The results of this research were conceptual models, instruments and guidelines on scientific attitudes assessment by observation. The construct assessment instruments include components of curiosity, objectivity, suspended judgment, open-mindedness, honesty and perseverance. The construct validity of instruments has been qualified (rated load factor > 0.3). The reliability of the model is quite good with the Alpha value 0.899 (> 0.7). The test showed that the model fits the theoretical models are supported by empirical data, namely p-value 0.315 (≥ 0.05), RMSEA 0.027 (≤ 0.08)

  11. Active Learning through Role Playing: Virtual Babies in a Child Development Course

    Science.gov (United States)

    Poling, Devereaux A.; Hupp, Julie M.

    2009-01-01

    The authors designed an active learning project for a child development course in which students apply core concepts to a hypothetical baby they "raise" during the term. Students applied developmental topics to their unique, developing child. The project fostered student learning and enthusiasm for the material. The project's versatility makes it…

  12. Technology Education Using a Novel Approach in e-Learning-Towards Optimizing the Quality of Learning Outcomes

    Science.gov (United States)

    Malkawi, M. I.; Hawarey, M. M.

    2012-04-01

    Ever since the advent of the new era in presenting taught material in Electronic Form, international bodies, academic institutions, public sectors, as well as specialized entities in the private sector, globally, have all persevered to exploit the power of Distance Learning and e-Learning to disseminate the knowledge in Science and Art using the ubiquitous World Wide Web and its supporting Internet and Internetworking. Many Science & Education-sponsoring bodies, like UNESCO, the European Community, and the World Bank have been keen at funding multinational Distance Learning projects, many of which were directed at an educated audience in certain technical areas. Many countries around the Middle East have found a number of interested European partners to launch funding requests, and were generally successful in their solicitation efforts for the needed funds from these funding bodies. Albeit their intricacies in generating a wealth of knowledge in electronic form, many of the e-Learning schemas developed thus far, have only pursued their goals in the most conventional of ways; In essence, there had been little innovation introduced to gain anything, if any, above traditional classroom lecturing, other than, of course, the gained advantage of the simultaneous online testing and evaluation of the learned material by the examinees. In a sincere effort to change the way in which people look at the merits of e-Learning, and seek the most out of it, we shall propose a novel approach aimed at optimizing the learning outcomes of presented materials. In this paper we propose what shall henceforth be called as Iterative e-Learning. In Iterative e-Learning, as the name implies, a student uses some form of electronic media to access course material in a specific subject. At the end of each phase (Section, Chapter, Session, etc.) on a specific topic, the student is assessed online of how much he/she would have achieved before he/she would move on. If the student fails, due to

  13. Intercultural challenge to language learning

    Directory of Open Access Journals (Sweden)

    Luz María Muñoz de Cote

    2012-10-01

    Full Text Available This paper presents the findings of a qualitative research project set to investigate the piloting process of an innovative language program for university students. It challenges traditional English language teaching courses celebrating a view centered on learning; classes become spaces for students to understand the language they are learning through the development of small projects. The approach moves from a teaching transmission paradigm to one where the most important agent is each student who has to engage with a topic of his or her interest. Students are seen as individuals whose knowledge and understanding of the world is valued and not as people whose lack of language skills prevents themfrom engaging in discussions of complex topics. The objective of this innovation is to enhance students’ understanding and use of academic English in their field of interest. In this project, we argue that knowledge and understanding of the mother tongue and culture play key roles in the development of a second language. A number of studies suggest that students who had strong first language literacy skills achieved higher proficiency levels in their second language. Based on this argument and Vygotsky’s sociocultural learning theory, we designed disciplinary content language learning workshops for first-degree students. The main tenet is that students can develop academic English given that they know about their discipline. Findings so far reveal the difficulty of students to take distance from their previous learning experiences. They also show that students’ ideas expressed in English are far more complex than what would be expected of them given their second language skills. The complexity is not only related to thecontent, but to the way they construct their paragraphs and the understanding of how the register of their field  may be used.

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

    Science.gov (United States)

    Rollnick, Marissa

    2017-08-01

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

  15. Learning by cases in food technology

    DEFF Research Database (Denmark)

    Løje, Hanne

    2012-01-01

    The purpose of this paper is to evaluate the use of the method learning by cases for teaching food technology students at the technical university of Denmark (DTU) and to clarify if the method can be used to improve the motivation and make the students more active and thereby be more in control...... of their own learning process, to feel more secure and less frustrated. The applying of the learning by cases method at the food technology course can make the students to learn in a significantly way, where they will be more actively involved in the learning process than previous. The work with real life...... cases with engineering topics, can develop the students knowledge and understanding, which gives the students a more conceptual understanding of engineering tasks, and can improve their skills to analyze and deal with complex situations and furthermore to be more confident with the course curriculum....

  16. How could the topic patient safety be embedded in the curriculum? A recommendation by the Committee for Patient Safety and Error Management of the GMA.

    Science.gov (United States)

    Kiesewetter, Jan; Drossard, Sabine; Gaupp, Rainer; Baschnegger, Heiko; Kiesewetter, Isabel; Hoffmann, Susanne

    2018-01-01

    The topic of patient safety is of fundamental interest for the health care sector. In view of the realisation of the National Competence-Based Learning Objectives Catalogue for Undergraduate Medical Education (NKLM) this topic now has to be prepared for medical education. For a disciplinary and content-related orientation the GMA Committee developed the Learning Objectives Catalogue Patient Safety for Undergraduate Medical Education (GMA-LZK). To ensure an optimal implementation of the GMA-LZK we recommend a longitudinal embedding into the existing curriculum. This position paper supports the implementation of the GMA-LZK and is aimed at everyone who wants to establish teaching courses on the topic patient safety and embed them in the curriculum. In light of this, we will initially describe the key features for a structured analysis of the current situation. Based on three best-practice-examples, as seen in the faculties of Freiburg, Bonn and Munich, different approaches to the implementation of the GMA-LZK will be illustrated. Lastly, we will outline the methodical requirements regarding the curriculum development as well as the disciplinary and methodical competences that the lecturers will have to hold or develop to fulfil the requirements.

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

    Science.gov (United States)

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

    2017-01-01

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

  18. Sharing Power with Parents: Improving Educational Decision Making for Students with Learning Disabilities

    Science.gov (United States)

    Connor, David J.; Cavendish, Wendy

    2018-01-01

    In this closing commentary to the special edition of "Learning Disability Quarterly" ("LDQ") on parent voice in educational decision making for students with learning disabilities, we briefly survey main topics from each article, illuminating important findings from the authors, along with several questions they raise, and…

  19. Interprofessional peer-assisted learning as a low-threshold course for joint learning: Evaluation results of the interTUT Project.

    Science.gov (United States)

    Reichel, Kathrin; Dietsche, Stefan; Hölzer, Henrike; Ewers, Michael

    2016-01-01

    The delivery of needs-based health care services requires a team-based and collaborative approach of different health professionals, which is not yet sufficienctliy implemented on a day to day basis. Interprofessional learning activities aim to respond to this in future. The cross-university pilot project interTUT used peer-assisted learning approaches and extracurricular tutorials in order address this issue. During the pilot phase, eight students and trainees have been acquired. Together, they prepared and led four extracurricular tutorials on core topics of interprofessional cooperation and documented them in procedure manuals. The course was evaluated using a standardized participant survey (n=72) and two focus groups (n=3, n=5) in which participants were asked to reflect on their individual learning experiences. Descriptive statistics were used to analyze the survey data and the focus group material was interpreted using qualitative content analysis. The results indicated a high level of satisfaction, acceptance of and further demand for peer-supported learning activities. The students and trainees reported changed attitudes and subjective knowledge growth regarding the other professional groups. The constructive learning atmosphere as well as having access to a forum for interprofessional exchange were equally valued. Extracurricular tutorials offer a low-threshold and very promising point of contact for the facilitation of interprofessional teaching and learning. However, this should be viewed against the background that, as part of the pilot project, only a small number of students and trainees who were already interested in the topic could be reached by this optional course. A comprehensive, long-term trial of this teaching and learning format, its linkage to curricular courses, and further research on its education-specific and practice-related effects are, therefore, necessary.

  20. Report and Recommendations on Multimedia Materials for Teaching and Learning Quantum Physics

    International Nuclear Information System (INIS)

    Mason, B.; Debowska, E.; Arpornthip, T.

    2015-01-01

    An international collaboration of physicists, affiliated with Multimedia Physics for Teaching and Learning (MPTL) and MERLOT, performed a survey and review of multimedia-based learning materials for quantum physics and quantum mechanics. The review process was based on more than a decade of experience with similar topical learning material reviews. A total of approximately 250 items were considered for review and eight were recommended by the reviewers. These are described in this report. Observations about quantum learning resources and multimedia tools are included.