Transfer learning is a new machine learning and data mining framework that allows the training and test data to come from different distributions or feature spaces. We can find many novel applications of machine learning and data mining where transfer learning is necessary. While much has been done in transfer learning in text classification and reinforcement learning, there has been a lack of documented success stories of novel applications of transfer learning in other areas. In this invited article, I will argue that transfer learning is in fact quite ubiquitous in many real world applications. In this article, I will illustrate this point through an overview of a broad spectrum of applications of transfer learning that range from collaborative filtering to sensor based location estimation and logical action model learning for AI planning. I will also discuss some potential future directions of transfer learning.
Text classification approaches are used extensively to solve real-world challenges. The success or failure of text classification systems hangs on the datasets used to train them, without a good dataset it is impossible to build a quality system. This thesis examines the applicability of active learning in text classification for the rapid and economical creation of labelled training data. Four main contributions are made in this thesis. First, we present two novel selection strategies to cho...
Borrás, Susana; Højlund, Steven
This article examines how evaluation induces policy learning – a question largely neglected by the scholarly literature on evaluation and policy learning. Following a learner's perspective, the article attempts to ascertain who the learners are, and what, and how, learners actually learn from...... evaluations. In so doing, it focuses on what different types of learners actually learn within the context of the evaluation framework (the set of administrative structures defining the evaluation goals and process). Taking the empirical case of three EU programme evaluations, the patterns of policy learning...... emanating from them are examined. The findings are that only two types of actors involved in the evaluation are actually learning (programme units and external evaluators), that learners learn different things (programme overview, small-scale programme adjustments, policy change and evaluation methods...
van de Wolfshaar, Jos; Wiering, Marco; Schomaker, Lambertus
We introduce a novel type of actor-critic approach for deep reinforcement learning which is based on learning vector quantization. We replace the softmax operator of the policy with a more general and more flexible operator that is similar to the robust soft learning vector quantization algorithm.
Clinton, Virginia; van den Broek, Paul
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…
This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data is a prerequisite to build lexical resources such as dictionaries and ontologies and also has direct applications in automated text processing in fields such as history, healthcare and mobile applications, just to name a few. This volume gives an update in terms of the recent gains in text mining methods and reflects
Cutica, Ilaria; Ianì, Francesco; Bucciarelli, Monica
Classical studies on enactment have highlighted the beneficial effects of gestures performed in the encoding phase on memory for words and sentences, for both adults and children. In the present investigation, we focused on the role of enactment for learning from scientific texts among primary-school children. We assumed that enactment would favor the construction of a mental model of the text, and we verified the derived predictions that gestures at the time of encoding would result in greater numbers of correct recollections and discourse-based inferences at recall, as compared to no gestures (Exp. 1), and in a bias to confound paraphrases of the original text with the verbatim text in a recognition test (Exp. 2). The predictions were confirmed; hence, we argue in favor of a theoretical framework that accounts for the beneficial effects of enactment on memory for texts.
ZHANG, Yujuan; WANG, Wen; ZHANG, Wei
Air pollution is one of the most serious environmental problems, and it is also the inevitable result of the extensive economic development mode. The matter of air pollution in Beijing is becoming more and more serious since 2010, which has a great impact on the normal social production, living and human health. These hazards have been highly valued by the whole society. More than 30 years have been pasted since controlling the air pollution and the system of policies was relatively complete. These policies have improved the quality of atmospheric and prevented environment further deterioration. The policies performance is not obvious. It is urgent trouble to improve policy performance. This paper analyzes the 103 policies text of air pollution control in Beijing, and researches status, history and problems, and put forward suggestions on policy improvement and innovation at last.
This book presents cutting-edge, peer reviewed research on networked learning organized by three themes: policy in networked learning, researching networked learning, and boundaries in networked learning. The "policy in networked learning" section explores networked learning in relation to policy...... networks, spaces of algorithmic governance and more. The "boundaries in networked learning" section investigates frameworks of students' digital literacy practices, among other important frameworks in digital learning. Lastly, the "research in networked learning" section delves into new research methods...
Dutke, Stephan; Grefe, Anna Christina; Leopold, Claudia
In an experiment with 65 high-school students, we tested the hypothesis that personalizing learning materials would increase students' learning performance and motivation to study the learning materials. Students studied either a 915-word standard text on the anatomy and functionality of the human eye or a personalized version of the same text in…
Liang, Hong; Sun, Xiao; Sun, Yunlei; Gao, Yuan
Selection of text feature item is a basic and important matter for text mining and information retrieval. Traditional methods of feature extraction require handcrafted features. To hand-design, an effective feature is a lengthy process, but aiming at new applications, deep learning enables to acquire new effective feature representation from training data. As a new feature extraction method, deep learning has made achievements in text mining. The major difference between deep learning and conventional methods is that deep learning automatically learns features from big data, instead of adopting handcrafted features, which mainly depends on priori knowledge of designers and is highly impossible to take the advantage of big data. Deep learning can automatically learn feature representation from big data, including millions of parameters. This thesis outlines the common methods used in text feature extraction first, and then expands frequently used deep learning methods in text feature extraction and its applications, and forecasts the application of deep learning in feature extraction.
Kleinbaum, David G
This textbook provides students and professionals in the health sciences with a presentation of the use of logistic regression in research. The text is self-contained, and designed to be used both in class or as a tool for self-study. It arises from the author's many years of experience teaching this material and the notes on which it is based have been extensively used throughout the world.
Leopold, Claudia; Mayer, Richard E.
Asking students to imagine the spatial arrangement of the elements in a scientific text constitutes a learning strategy intended to foster deep processing of the instructional material. Two experiments investigated the effects of mental imagery prompts on learning from scientific text. Students read a computer-based text on the human respiratory…
Goff, Maria Hernandez
This dissertation explored how a teacher learned to teach with and about unfamiliar (to her) media texts in her high school English classroom. This study also examined my role as the researcher/mentor in the teacher's learning and development process. Through situated learning theories (Lave & Wenger, 1991) and discourse through identities…
The present study examined the effect of intertextual conflict resolution on learning from conflicting texts. In two experiments, participants read sets of two texts under the condition of being encouraged either to resolve a conflict between the texts' arguments (the resolution condition) or to comprehend the arguments (the comprehension…
Jeong, Hyeonjeong; Sugiura, Motoaki; Sassa, Yuko; Wakusawa, Keisuke; Horie, Kaoru; Sato, Shigeru; Kawashima, Ryuta
Second language (L2) acquisition necessitates learning and retrieving new words in different modes. In this study, we attempted to investigate the cortical representation of an L2 vocabulary acquired in different learning modes and in cross-modal transfer between learning and retrieval. Healthy participants learned new L2 words either by written translations (text-based learning) or in real-life situations (situation-based learning). Brain activity was then measured during subsequent retrieval of these words. The right supramarginal gyrus and left middle frontal gyrus were involved in situation-based learning and text-based learning, respectively, whereas the left inferior frontal gyrus was activated when learners used L2 knowledge in a mode different from the learning mode. Our findings indicate that the brain regions that mediate L2 memory differ according to how L2 words are learned and used. Copyright 2009 Elsevier Inc. All rights reserved.
This paper investigates the relationship between the centrality of individual actors in a social network structure and their policy learning performance. In a dynamic comparable to real-world policy networks, results from a classroom simulation demonstrate a strong relationship between centrality in social learning networks and grade performance. Previous research indicates that social network centrality should have a positive effect on learning in other contexts and this link is tested in a policy learning context. Second, the distinction between collaborative learning versus information diffusion processes in policy learning is examined. Third, frequency of interaction is analyzed to determine whether consistent, frequent tics have a greater impact on the learning process. Finally, the data arc analyzed to determine if the benefits of centrality have limitations or thresholds when benefits no longer accrue. These results demonstrate the importance of network structure, and support a collaborative conceptualization of the policy learning process.
Full Text Available European Union has started an education & training initiative under the umbrella of lifelong learning to achieve the 2020 Agenda targets. Th is initiative has nearly half of a century time horizon, and all designed policies and measures have been consolidated under this initiative. Turkish Education authorities have been monitoring this European eff ort closely and made important legal and institutional regulations in recent couple of years. Th is study examines the primary aspects of lifelong learning in detail: conceptual and philosophical background; recognition strategies; the place of formal, non-formal and informal learning in the lifelong learning approach; financing and measurement ways of lifelong learning; and variety of perspectives of international institutions. In addition, education and training strategy of the Europe’s 2020 vision of lifelong learning is also evaluated in detail. Th e human resources vision of the Europe considers education, occupation and economic activities together to allow authorities to plan the future of the European societies. Th e updating mechanisms of this approach are designed both domestically at national and internationally at European levels. It is concluded, in this study, that the lifelong learning policy and implementation of the Europe should be taken as benchmark.
Iding, Marie K.
Examines the effectiveness of schema training in illustration types and text-illustration relations for learning from college level physiology texts and discusses findings that are consistent with prior research on learning from illustrated materials and with dual coding theory. Considers future directions for strategy training research and…
Terry, W S; Howe, D C
In this study, college students read and studied texts on historical figures in psychology, which were supplemented by drawings and/or brief biographies of these persons. In Experiment 1, a 2 x 2 between-groups design was conducted in which students received one adjunct with each text, both adjuncts, or neither. In Experiment 2, a single group of students received a within-subjects manipulation of the same adjunct conditions. In the between-groups comparison, students receiving biographies learned less of the target text passages, with the group receiving illustrations and biographies performing least accurately. In the within-subject conditions, texts accompanied by an illustration were better learned, with these students doing best on the text with both picture and biography. The results suggest that adjuncts may emphasize some texts, at the expense of learning from the other texts, but that too much adjunct material interferes with the learning of the target passages.
Shweta C. Dharmadhikari; Maya Ingle; Parag Kulkarni
Automatic classification of text documents has become an important research issue now days. Properclassification of text documents requires information retrieval, machine learning and Natural languageprocessing (NLP) techniques. Our aim is to focus on important approaches to automatic textclassification based on machine learning techniques viz. supervised, unsupervised and semi supervised.In this paper we present a review of various text classification approaches under machine learningparadig...
Bengt-Åke Lundvall’s work has underlined the importance of policy learning for inducing innovation systems’ adaptability. In spite of his efforts and of the general interest in this topic, studies of policy learning in innovation policy continue to be scarce. Elaborating from recent theoretical...... advances, the paper identifies three levels of policy learning and argues that their effects on innovation systems are related to specific capacities of the relevant organizations implementing change. This analytical framework is used in the study of trans-national policy learning in Europe in the area...... of science–industry relations, showing the importance of capacities (or lack thereof). This calls for the practical need of addressing organizational capacity-building, in particular of analytical capacity, for truly strategic innovation policy-making....
of lifelong learning policy. Early development of public primary education and popular adult education has provided a strong foundation for lifelong learning policy in Denmark while in Portugal not only institutional provision but also popular demand for lifelong learning has had to be built up relatively......This article describes and discusses the development of lifelong learning policy in two EU member states, Denmark and Portugal. The purpose is to show how different societal and historical contexts shape the development and implementation of lifelong learning policies, even though these policies...... have significant common elements. As a basis for the discussion an inventory of policy elements is presented. Denmark and Portugal have been chosen as examples of smaller EU member states with different historical, social and cultural characteristics. Developments and policies in the two countries...
Martínez, I.; Mateos, M.; Martín, E.; Rijlaarsdam, G.
The aim of the present study was to improve learning from texts via strategies that train students how to process synthesis texts. Processing such texts requires goal-oriented interaction between reading and writing activities. The participants were 62 sixth-grade students, 33 in the experimental
in different life phases. In this paper I discuss the state of lifelong learning policy in two European societies with different educational contexts, histories, system models and development issues, Denmark and Portugal. As part of the paper will give a brief overview of EU policies and initiatives...... in the area of lifelong learning and discuss how national policies in the two contexts are influenced by EU policies and funding....
Bollmann, Marcel; Bingel, Joachim; Søgaard, Anders
Automated processing of historical texts often relies on pre-normalization to modern word forms. Training encoder-decoder architectures to solve such problems typically requires a lot of training data, which is not available for the named task. We address this problem by using several novel encoder...
We investigate a largely unsupervised approach to learning interpretable, domain-specific entity types from unlabeled text. It assumes that any common noun in a domain can function as potential entity type, and uses those nouns as hidden variables in a HMM. To constrain training, it extracts co......-occurrence dictionaries of entities and common nouns from the data. We evaluate the learned types by measuring their prediction accuracy for verb arguments in several domains. The results suggest that it is possible to learn domain-specific entity types from unlabeled data. We show significant improvements over...
Lehmann, Janina A. M.; Seufert, Tina
This study investigates the possibilities of fostering learning based on differences in recall and comprehension after learning with texts which were presented in one of three modalities: either in a spoken, written, or sung version. All three texts differ regarding their processing, especially when considering working memory. Overall, we assume the best recall performance after learning with the written text and the best comprehension performance after learning with the sung text, respective...
Full Text Available The objective of this research was to know whether Probing Prompting Learning Technique can be used to get the maximum effect of students’ reading narrative ability in teaching and learning process. This research was applied collaborative action reEsearch, this research was done in two cycle. The subject of this research was 23 students at tenth grade of SMA Kartikatama Metro. The result of the research showed that the Probing Prompting Learning Technique is useful and effective to help students get maximum effect of their reading. Based on the results of the questionnaire obtained an average percentage of 95%, it indicated that application of Probing Prompting Learning Technique in teaching l reading was appropriately applied. In short that students’ responses toward Probing Prompting Learning Technique in teaching reading was positive. In conclusion, Probing Prompting Learning Technique can get maximum effect of students’ reading ability. In relation to the result of the reserach, some suggestion are offered to english teacher, that the use of Probing Prompting learning Technique in teaching reading will get the maximum effect of students’ reading abilty.
Schlag, Sabine; Ploetzner, Rolf
Texts and pictures are often combined in order to improve learning. Many students, however, have difficulty to appropriately process text-picture combinations. We have thus conceptualized a learning strategy which supports learning from illustrated texts. By inducing the processes of information selection, organization, integration, and…
, this article demonstrates that valuable lessons can be learned about policy learning, in practice and theoretically, by analysing the cooperation in the OMC committees. Using the Advocacy Coalition Framework as the starting point of analysis, 15 hypotheses on policy learning are tested. Among other things......, it is concluded that in order to maximize policy learning in international committees, empirical data should be made available to committees and provided by sources close to the participants (i.e. the Commission). In addition, the work in the committees should be made prestigious in order to attract well...
Wang, Zhengyang; Ji, Shuiwang
Visual question answering is a recently proposed artificial intelligence task that requires a deep understanding of both images and texts. In deep learning, images are typically modeled through convolutional neural networks, and texts are typically modeled through recurrent neural networks. While the requirement for modeling images is similar to traditional computer vision tasks, such as object recognition and image classification, visual question answering raises a different need for textual...
Iding, Marie K.
Examines the effectiveness of using questions to facilitate processing of diagrams in science texts. Investigates three different elements in experiments on college students. Finds that questions about illustrations do not facilitate learning. Discusses findings with reference to cognitive load theory, the dual coding perspective, and the…
Policy flows are not quantifiable and calculating processes but part of the uneven movement of ideas and experiences that involves power and personalities. Processes of learning and policy circulation have thus proven difficult to study especially as the exchanges taking place between actors and localities rarely lead directly to uptake. This paper outlines a conceptual and methodological framework for conducting policy mobilities research by attending to the plethora of ordinary practices – ...
Hatton, Michael J., Ed.
The 26 articles in this book focus on lifelong learning policies, practices, and programs in 13 Asia Pacific countries. The following papers are included: "Half a Revolution: A Brief Survey of Lifelong Learning in New Zealand" (P. Methven and J. Hansen); "HRD in a Multicultural Workplace: The Need for Lifelong Learning" (M.…
Ashwin, Paul; Smith, Karen
In this article we explore the way in which policy texts are positioned in a selection of higher education journal articles. Previous research has suggested that policy implementation studies have taken an uncritical approach to researching policies. Based on an analysis of articles published in higher education and policy journals in 2011, we…
van der Loo, Janneke; Krahmer, Emiel; van Amelsvoort, Marije
In this paper we present preliminary results on a study on the effect of instructional method (observational learning and learning by doing) and reflection (yes or no) on academic text quality and self-efficacy beliefs. 56 undergraduate students were assigned to either an observational learning or learning-by-doing condition, with or without…
Janina A. M. Lehmann
Full Text Available This study investigates the possibilities of fostering learning based on differences in recall and comprehension after learning with texts which were presented in one of three modalities: either in a spoken, written, or sung version. All three texts differ regarding their processing, especially when considering working memory. Overall, we assume the best recall performance after learning with the written text and the best comprehension performance after learning with the sung text, respectively, compared to both other text modalities. We also analyzed whether the melody of the sung material functions as a mnemonic aid for the learners in the sung text condition. If melody and text of the sung version are closely linked, presentation of the melody during the post-test phase could foster text retrieval. 108 students either learned from a sung text performed by a professional singer, a printed text, or the same text read out loud. Half of the participants worked on the post-test while listening to the melody used for the musical learning material and the other half did not listen to a melody. The written learning modality led to significantly better recall than with the spoken (d = 0.97 or sung text (d = 0.78. However, comprehension after learning with the sung modality was significantly superior compared to when learning with the written learning modality (d = 0.40. Reading leads to more focus on details, which is required to answer recall questions, while listening fosters a general understanding of the text, leading to higher levels of comprehension. Listening to the melody during the post-test phase negatively affected comprehension, irrespective of the modality during the learning phase. This can be explained by the seductive detail effect, as listening to the melody during the post-test phase may distract learners from their main task. In closing, theoretical and practical implications are discussed.
, this article demonstrates that valuable lessons can be learned about policy learning, in practice and theoretically, by analysing the cooperation in the OMC committees. Using the Advocacy Coalition Framework as the starting point of analysis, 15 hypotheses on policy learning are tested. Among other things......In the voluminous literature on the European Union's open method of coordination (OMC), no one has hitherto analysed on the basis of scholarly examination the question of what contributes to the learning processes in the OMC committees. On the basis of a questionnaire sent to all participants......, it is concluded that in order to maximize policy learning in international committees, empirical data should be made available to committees and provided by sources close to the participants (i.e. the Commission). In addition, the work in the committees should be made prestigious in order to attract well...
Lehmann, Janina A M; Seufert, Tina
This study investigates the possibilities of fostering learning based on differences in recall and comprehension after learning with texts which were presented in one of three modalities: either in a spoken, written, or sung version. All three texts differ regarding their processing, especially when considering working memory. Overall, we assume the best recall performance after learning with the written text and the best comprehension performance after learning with the sung text, respectively, compared to both other text modalities. We also analyzed whether the melody of the sung material functions as a mnemonic aid for the learners in the sung text condition. If melody and text of the sung version are closely linked, presentation of the melody during the post-test phase could foster text retrieval. 108 students either learned from a sung text performed by a professional singer, a printed text, or the same text read out loud. Half of the participants worked on the post-test while listening to the melody used for the musical learning material and the other half did not listen to a melody. The written learning modality led to significantly better recall than with the spoken ( d = 0.97) or sung text ( d = 0.78). However, comprehension after learning with the sung modality was significantly superior compared to when learning with the written learning modality ( d = 0.40). Reading leads to more focus on details, which is required to answer recall questions, while listening fosters a general understanding of the text, leading to higher levels of comprehension. Listening to the melody during the post-test phase negatively affected comprehension, irrespective of the modality during the learning phase. This can be explained by the seductive detail effect, as listening to the melody during the post-test phase may distract learners from their main task. In closing, theoretical and practical implications are discussed.
Namburu, Setu Madhavi; Tu, Haiying; Luo, Jianhui; Pattipati, Krishna R.
Modern information society is facing the challenge of handling massive volume of online documents, news, intelligence reports, and so on. How to use the information accurately and in a timely manner becomes a major concern in many areas. While the general information may also include images and voice, we focus on the categorization of text data in this paper. We provide a brief overview of the information processing flow for text categorization, and discuss two supervised learning algorithms, viz., support vector machines (SVM) and partial least squares (PLS), which have been successfully applied in other domains, e.g., fault diagnosis . While SVM has been well explored for binary classification and was reported as an efficient algorithm for text categorization, PLS has not yet been applied to text categorization. Our experiments are conducted on three data sets: Reuter's- 21578 dataset about corporate mergers and data acquisitions (ACQ), WebKB and the 20-Newsgroups. Results show that the performance of PLS is comparable to SVM in text categorization. A major drawback of SVM for multi-class categorization is that it requires a voting scheme based on the results of pair-wise classification. PLS does not have this drawback and could be a better candidate for multi-class text categorization.
In spite of their long history and extensive activities, the international committees of the Nordic Council of Ministers have not hitherto been subject to scholarly examination. This paper demonstrates that valuable lessons can be learned about policy learning in practise and theoretically...
Recognizing the growth of technology use in early learning settings, the U.S. Department of Education and U.S. Department of Health and Human Services collaborated in the development of the "Early Learning and Educational Technology Policy Brief" to promote developmentally appropriate use of technology in homes and early learning…
Y. B. Abdullin
Full Text Available Sentiment analysis of short texts such as Twitter messages and comments in news portals is challenging due to the lack of contextual information. We propose a deep neural network model that uses bilingual word embeddings to effectively solve sentiment classification problem for a given pair of languages. We apply our approach to two corpora of two different language pairs: English-Russian and Russian-Kazakh. We show how to train a classifier in one language and predict in another. Our approach achieves 73% accuracy for English and 74% accuracy for Russian. For Kazakh sentiment analysis, we propose a baseline method, that achieves 60% accuracy; and a method to learn bilingual embeddings from a large unlabeled corpus using a bilingual word pairs.
The aim of this article is to study how policy learning has led to new understandings of ways to support renewable energies, based on experience in the wind power sector. Drawing on analysis of the literature and informed by field-work in the wind power sector in Denmark, France and the UK, it explores the extent to which policy learning over the medium term has brought us closer to models that integrate economic, environmental and societal desiderata into renewables policy in a manner congruent with the sustainable development aspirations espoused by the European Union and its constituent states. It contributes to policy theory development by arguing in favour of a new policy paradigm that reaches beyond measures to increase production capacity per se to embrace both the institutional dynamics of innovation processes and the fostering of societal engagement in implementation processes
Full Text Available The development of policy in relation to language learning at the early primary level of schooling has received only limited attention in the literature on policy studies in general, and within the framework of an emerging education policy space across Europe specifically. This paper offers an introductory discussion of the growth of education policy in Europe, identifying the extent to which the histories of national language policies are being re-shaped by the rise of numerical data and comparison within a newly-formed European education space. A summary review of key measures of particular relevance to early language learning illustrates thescale of “soft” policy mechanisms now available as tools in an on-going process of shaping, adapting and refining policy in response to the continuously shifting language priorities that arise particularly during periods of economic instability. This paper draws on key themes from a transnational, longitudinal study of early language learning in Europe to discuss the extent to which implementation in schools has so far been moulded by a plethora of recommendations, reports and indicators formulated in response to the step change in policy development that has occurred since the publication of the Lisbon Strategy (2000.
Chen, Matthew C; Ball, Robyn L; Yang, Lingyao; Moradzadeh, Nathaniel; Chapman, Brian E; Larson, David B; Langlotz, Curtis P; Amrhein, Timothy J; Lungren, Matthew P
Purpose To evaluate the performance of a deep learning convolutional neural network (CNN) model compared with a traditional natural language processing (NLP) model in extracting pulmonary embolism (PE) findings from thoracic computed tomography (CT) reports from two institutions. Materials and Methods Contrast material-enhanced CT examinations of the chest performed between January 1, 1998, and January 1, 2016, were selected. Annotations by two human radiologists were made for three categories: the presence, chronicity, and location of PE. Classification of performance of a CNN model with an unsupervised learning algorithm for obtaining vector representations of words was compared with the open-source application PeFinder. Sensitivity, specificity, accuracy, and F1 scores for both the CNN model and PeFinder in the internal and external validation sets were determined. Results The CNN model demonstrated an accuracy of 99% and an area under the curve value of 0.97. For internal validation report data, the CNN model had a statistically significant larger F1 score (0.938) than did PeFinder (0.867) when classifying findings as either PE positive or PE negative, but no significant difference in sensitivity, specificity, or accuracy was found. For external validation report data, no statistical difference between the performance of the CNN model and PeFinder was found. Conclusion A deep learning CNN model can classify radiology free-text reports with accuracy equivalent to or beyond that of an existing traditional NLP model. © RSNA, 2017 Online supplemental material is available for this article.
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…
The full text of CERN’s “Learning and Development Policy” is now available in English and French on the HR training website: cern.ch/hr-training/. This new policy was presented to all personnel in the HR Public meeting held on Monday 25 June, and the slides and the video recording remain available on Indico. Pascale Goy, Head of the Learning and Development Group in HR, is available for more information: firstname.lastname@example.org , tel. 62232.
Evans, Karen L.
Even after multiple instructional opportunities, first year college chemistry students are often unable to apply stoichiometry knowledge in equilibrium and acid-base chemistry problem solving. Cognitive research findings suggest that for learning to be meaningful, learners need to actively construct their own knowledge by integrating new information into, and reorganizing, their prior understandings. Scaffolded inquiry in which facts, procedures, and principles are introduced as needed within the context of authentic problem solving may provide the practice and encoding opportunities necessary for construction of a memorable and usable knowledge base. The dynamic and interactive capabilities of online technology may facilitate stoichiometry instruction that promotes this meaningful learning. Entering college freshmen were randomly assigned to either a technology-rich or text-only set of cognitively informed stoichiometry review materials. Analysis of posttest scores revealed a significant but small difference in the performance of the two treatment groups, with the technology-rich group having the advantage. Both SAT and gender, however, explained more of the variability in the scores. Analysis of the posttest scores from the technology-rich treatment group revealed that the degree of interaction with the Virtual Lab simulation was significantly related to posttest performance and subsumed any effect of prior knowledge as measured by SAT scores. Future users of the online course should be encouraged to engage with the problem-solving opportunities provided by the Virtual Lab simulation through either explicit instruction and/or implementation of some level of program control within the course's navigational features.
Beers, Pieter J.; van Asselt, Marjolein B. A.; Vermunt, Jan D.; Kirschner, Paul A.
Interviews explored the information needs of seven Dutch policymakers dealing with global sustainability. They sought information on cultural perspectives and linkages. Information gathering emphasized filtering to find specific information. Most used an application-oriented working style that, combined with policy-driven information seeking, was…
Chongtay, Rocio; Last, Mark; Verbeke, Mathias
Visualizations can stand in many relations to texts – and, as research into learning with pictures has shown, they can become particularly valuable when they transform the contents of the text (rather than just duplicate its message or structure it). But what kinds of transformations can...... be particularly helpful in the learning process? In this paper, we argue that interacting with, and creating, summaries of texts is a key transformation technique, and we investigate how textual and graphical summarization approaches, as well as automatic and manual summarization, can complement one another...... to support effective learning....
Li, Yanpeng; Liu, Hongfang
In clinical text mining, it is one of the biggest challenges to represent medical terminologies and n-gram terms in sparse medical reports using either supervised or unsupervised methods. Addressing this issue, we propose a novel method for word and n-gram representation at semantic level. We first represent each word by its distance with a set of reference features calculated by reference distance estimator (RDE) learned from labeled and unlabeled data, and then generate new features using simple techniques of discretization, random sampling and merging. The new features are a set of binary rules that can be interpreted as semantic tags derived from word and n-grams. We show that the new features significantly outperform classical bag-of-words and n-grams in the task of heart disease risk factor extraction in i2b2 2014 challenge. It is promising to see that semantics tags can be used to replace the original text entirely with even better prediction performance as well as derive new rules beyond lexical level.
Roll, Uri; Correia, Ricardo A; Berger-Tal, Oded
Systematic reviews are an increasingly popular decision-making tool that provides an unbiased summary of evidence to support conservation action. These reviews bridge the gap between researchers and managers by presenting a comprehensive overview of all studies relating to a particular topic and identify specifically where and under which conditions an effect is present. However, several technical challenges can severely hinder the feasibility and applicability of systematic reviews, for example, homonyms (terms that share spelling but differ in meaning). Homonyms add noise to search results and cannot be easily identified or removed. We developed a semiautomated approach that can aid in the classification of homonyms among narratives. We used a combination of automated content analysis and artificial neural networks to quickly and accurately sift through large corpora of academic texts and classify them to distinct topics. As an example, we explored the use of the word reintroduction in academic texts. Reintroduction is used within the conservation context to indicate the release of organisms to their former native habitat; however, a Web of Science search for this word returned thousands of publications in which the term has other meanings and contexts. Using our method, we automatically classified a sample of 3000 of these publications with over 99% accuracy, relative to a manual classification. Our approach can be used easily with other homonyms and can greatly facilitate systematic reviews or similar work in which homonyms hinder the harnessing of large text corpora. Beyond homonyms we see great promise in combining automated content analysis and machine-learning methods to handle and screen big data for relevant information in conservation science. © 2017 Society for Conservation Biology.
Two key themes of recent UK education policy texts have been a focus on "quality" in public sector performance, and on "equality" in the form of New Labour's stated commitment to equality of opportunity as a key policy objective. This twin approach can be seen at its most obvious in the concept of "excellence for…
Full Text Available Event recognition is the most fundamental and critical task in event-based natural language processing systems. Existing event recognition methods based on rules and shallow neural networks have certain limitations. For example, extracting features using methods based on rules is difficult; methods based on shallow neural networks converge too quickly to a local minimum, resulting in low recognition precision. To address these problems, we propose the Chinese emergency event recognition model based on deep learning (CEERM. Firstly, we use a word segmentation system to segment sentences. According to event elements labeled in the CEC 2.0 corpus, we classify words into five categories: trigger words, participants, objects, time and location. Each word is vectorized according to the following six feature layers: part of speech, dependency grammar, length, location, distance between trigger word and core word and trigger word frequency. We obtain deep semantic features of words by training a feature vector set using a deep belief network (DBN, then analyze those features in order to identify trigger words by means of a back propagation neural network. Extensive testing shows that the CEERM achieves excellent recognition performance, with a maximum F-measure value of 85.17%. Moreover, we propose the dynamic-supervised DBN, which adds supervised fine-tuning to a restricted Boltzmann machine layer by monitoring its training performance. Test analysis reveals that the new DBN improves recognition performance and effectively controls the training time. Although the F-measure increases to 88.11%, the training time increases by only 25.35%.
National Aeronautics and Space Administration — Sparse machine learning has recently emerged as powerful tool to obtain models of high-dimensional data with high degree of interpretability, at low computational...
In response to the fact that college students complain on their unsuccessful story of their EFL learning experience such as the limited number of vocabulary, English Grammar confusion, low competence of English language skills, this article explores an alternative effective way of helping them to improve their English through Text-Based Learning (TBL) model. This article is then intended to narrate the implementation of TBL to teach English for college students of non English Department of Po...
Colditz, Jason B; Ton, Jessica N; James, A Everette; Primack, Brian A
Water pipe tobacco smoking (WTS) is growing in popularity among U.S. young adults and is associated with health risks similar to those of cigarette smoking. The purpose of this study is to examine existing tobacco control policies (TCPs) in order to investigate how they engage WTS. A systematic synthesis of content and legal interactions among federal, state, and local TCP documents. Pennsylvania, which represents a politically and demographically diverse microcosm of the United States. No human subjects. Federal and state TCPs were retrieved via public legal repositories. Local policy searches were conducted via county/municipal Web sites, inclusive of 13 localities that had autonomous health departments or existing TCPs based on a National Cancer Institute report. Full-text TCPs were double coded within a grounded theory framework for health policy analysis. Emergent codes were used to compare and contrast policy texts and to examine legal interactions among TCPs. Examination of policy categories including youth access, use restrictions, and taxation revealed WTS as largely omitted from current TCPs. WTS was sometimes addressed as an "other" tobacco product under older TCPs, though ambiguities in language led to questionable enforceability. State preemptions have rolled back or prevented well-tailored reforms at the local level. Federal preemptions have likewise constrained state TCPs. Outdated, preempted, and unclear policies limit the extent to which TCPs engage WTS. Health advocates might target these aspects of TCP reform.
The use of cell phone text messaging to improve access to continuing ... with 50 of the message recipients, demonstrated that the text messages were well received by ... services, such as the management of HIV-infected children and adults.
de Maat, E.; Krabben, K.; Winkels, R.; Winkels, R.G.F.
This paper presents results of an experiment in which we used machine learning (ML) techniques to classify sentences in Dutch legislation. These results are compared to the results of a pattern-based classifier. Overall, the ML classifier performs as accurate (>90%) as the pattern based one, but
With the recent development of internet and mobile technology, a new kind of e-text communication is emerging. From messenger chatting, mobile texting, to social networking through Twitter or Facebook, e-text communication is becoming a main communication channel, especially for the younger generation. However, there has not been sufficient…
Full Text Available In response to the fact that college students complain on their unsuccessful story of their EFL learning experience such as the limited number of vocabulary, English Grammar confusion, low competence of English language skills, this article explores an alternative effective way of helping them to improve their English through Text-Based Learning (TBL model. This article is then intended to narrate the implementation of TBL to teach English for college students of non English Department of Post Graduate Program of State Islamic Institute of Tulungagung, Indonesia. The result of implementing this teaching model proves to be able to not only stimulate joyful learning atmosphere but to attract the students’ active participation during the EFL instructional process as well. This further brings about their better practical understanding on English language skills as their expectation. Therefore, for English lecturers, this model is pedagogically good to be implemented in their English instructional practices.
Fenesi, Barbara; Kim, Joseph A
Research on metacognition has consistently demonstrated that learners fail to endorse instructional designs that produce benefits to memory, and often prefer designs that actually impair comprehension. Unlike previous studies in which learners were only exposed to a single multimedia design, the current study used a within-subjects approach to examine whether exposure to both redundant text and non-redundant text multimedia presentations improved learners' metacognitive judgments about presentation styles that promote better understanding. A redundant text multimedia presentation containing narration paired with verbatim on-screen text (Redundant) was contrasted with two non-redundant text multimedia presentations: (1) narration paired with images and minimal text (Complementary) or (2) narration paired with minimal text (Sparse). Learners watched presentation pairs of either Redundant + Complementary, or Redundant + Sparse. Results demonstrate that Complementary and Sparse presentations produced highest overall performance on the final comprehension assessment, but the Redundant presentation produced highest perceived understanding and engagement ratings. These findings suggest that learners misperceive the benefits of redundant text, even after direct exposure to a non-redundant, effective presentation.
Li, Peipei; He, Lu; Wang, Haiyan; Hu, Xuegang; Zhang, Yuhong; Li, Lei; Wu, Xindong
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.
The main purpose of the Inventory is to show concrete examples which have been implemented in the Member States under the concept of ESD in formal and non-formal learning contexts and which are at the forefront as regards innovative approaches. Projects/programmes selected as innovative good practice will be used to inform the preparation of the next Progress Report on the EU Sustainable Development Strategy in Education. See European Commission DG Education and Culture Inventory of innovative practices in education for sustainable development, the case study VCSE - Virtual Campus for a Sustainable Europe (EUROPEAN LEVEL, page 33.
Virtual Campus for a Sustainable Europe (VCSE) network has been selected to be part of the EC DG EAC Inventory of innovative good practice on education for sustainable development. The main purpose of the Inventory is to show concrete examples which have been implemented in the Member States under the concept of ESD in formal and non-formal learning contexts and which are at the forefront as regards innovative approaches. Projects/programmes selected as innovative good practice will be use...
Amrit, Chintan; Paauw, Tim; Aly, Robin; Lavric, Miha
In this paper, we describe how we used text mining and analysis to identify and predict cases of child abuse in a public health institution. Such institutions in the Netherlands try to identify and prevent different kinds of abuse. A significant part of the medical data that the institutions have on
Zhang, Yajun; Liu, Zongtian; Zhou, Wen
Event recognition is the most fundamental and critical task in event-based natural language processing systems. Existing event recognition methods based on rules and shallow neural networks have certain limitations. For example, extracting features using methods based on rules is difficult; methods based on shallow neural networks converge too quickly to a local minimum, resulting in low recognition precision. To address these problems, we propose the Chinese emergency event recognition model based on deep learning (CEERM). Firstly, we use a word segmentation system to segment sentences. According to event elements labeled in the CEC 2.0 corpus, we classify words into five categories: trigger words, participants, objects, time and location. Each word is vectorized according to the following six feature layers: part of speech, dependency grammar, length, location, distance between trigger word and core word and trigger word frequency. We obtain deep semantic features of words by training a feature vector set using a deep belief network (DBN), then analyze those features in order to identify trigger words by means of a back propagation neural network. Extensive testing shows that the CEERM achieves excellent recognition performance, with a maximum F-measure value of 85.17%. Moreover, we propose the dynamic-supervised DBN, which adds supervised fine-tuning to a restricted Boltzmann machine layer by monitoring its training performance. Test analysis reveals that the new DBN improves recognition performance and effectively controls the training time. Although the F-measure increases to 88.11%, the training time increases by only 25.35%.
This article focuses on the issue of policy development for adult learning in Mali, West Africa. On January 2007, the Malian government adopted the "Adult Non-formal Education Policy Document," which was intended to regulate the adult learning sector and federate the actions of policy makers, adult education providers, and adult…
Pedersen, Jon; J., Ronald; Alice, Bonnstetter; Corkill, J.; Glover, John A.
Two experiments examined the relative effects of questions requiring decisions, statements providing the decision information to students, questions not requiring decisions, and control procedures on students' memory for chemistry text reading materials. Experiment 1 employed immediate recall. The results of Experiment 1 indicated that students who made and justified decisions about the contents recalled significantly more information than students in any other condition. In addition, students who answered questions that did not require decisions recalled significantly more of the content than students in the control or the statements conditions. No other contrasts reached significance. Experiment 2 employed delayed recall assessed one week after reading. The results confirmed those of Experiment 1. The overall results of the study are discussed in terms of an elaboration perspective on memory.
Full Text Available Lessons learned are important building blocks for continuous learning in project-based organisations. Nonetheless, the practical reality is that lessons learned are often not consistently reused for organisational learning. Two problems are commonly described in this context: the information overload and the lack of procedures and methods for the assessment and implementation of lessons learned. This paper addresses these problems, and appropriate solutions are combined in a systematic lesson learned process. Latent Dirichlet Allocation is presented to solve the first problem. Regarding the second problem, established risk management methods are adapted. The entire lessons learned process will be demonstrated in a practical case study
Digital texts which are based on hypertext and hypermedia technologies are now being used to support science learning. Hypertext offers certain opportunities for learning as well as difficulties that challenge readers to become metacognitively aware of their navigation decisions in order to trade both meaning and structure while reading. The goal of this study was to investigate whether supporting sixth grade students to monitor and regulate their navigation behavior while reading from hypertext would lead to better navigation and learning. Metanavigation support in the form of prompts was provided to groups of students who used a hypertext system called CoMPASS to complete a design challenge. The metanavigation prompts aimed at encouraging students to understand the affordances of the navigational aids in CoMPASS and use them to guide their navigation. The study was conducted in a real classroom setting during the implementation of CoMPASS in sixth grade science classes. Multiple sources of group and individual data were collected and analyzed. Measures included student's individual performance in a pre-science knowledge test, the Metacognitive Awareness of Reading Strategies Inventory (MARSI), a reading comprehension test and a concept map test. Process measures included log file information that captured group navigation paths during the use of CoMPASS. The results suggested that providing metanavigation support enabled the groups to make coherent transitions among the text units. Findings also revealed that reading comprehension, presence of metanavigation support and prior domain knowledge significantly predicted students' individual understanding of science. Implications for hypertext design and literacy research fields are discussed.
Full Text Available Through the European Social Fund (ESF, the European Union subsidizes social inclusion and occupational trainee projects. This policy instrument is formulated by European Union institutions and implemented by regions through a call for projects which requires innovative actions and a result-oriented strategy. It is a key vantage point to observe sub-national implementation of an European Union policy instrument in a sub-national practitioner’s perspective, a topic under-investigated in the literature. For a project to receive funding, sub-national practitioners must take the European Union requirements (accounting standards, evidence of innovation etc. and their social needs into account. Against this backdrop, this research tackles an original question: how can local practitioners adapt their policy actions to fit with European Union requirements? Taking the region of Wallonia in Belgium as a case study, the ESF implementation is considered as a specific policy process in sub-national policy sectors. Adopting an in-depth qualitative perspective, this research contends that it depends on practitioners’ learning, practices and experience of past applications, their specific socio-economic context and income maximization.
Shauna P. Acquavita
Full Text Available Peer review is a tool that provides students with a sense of how their work is perceived by others. Built on refection and feedback, peer review assesses the quality of academic processes and products based on well-understood criteria. Peer review was implemented in a baccalaureate social work policy course to enhance writing and critical thinking skills. Students were surveyed on their experiences and indicated that peer review activities provided beneficial learning exercises. The information gathered suggests methods for future implementation of peer review in social work education.
M. Howlett (Michael); Mukherjee, I. (Ishani); J.F.M. Koppenjan (Joop)
textabstractThis paper examines how learning has been treated, generally, in policy network theories and what questions have been posed, and answered, about this phenomenon to date. We examine to what extent network characteristics and especially the presence of various types of brokers impede or
Mendi, Engin; Bayrak, Coskun
Learning disabilities affect the ability of children to learn, despite their having normal intelligence. Assistive tools can highly increase functional capabilities of children with learning disorders such as writing, reading, or listening. In this article, we describe a text-to-audiovisual synthesizer that can serve as an assistive tool for such children. The system automatically converts an input text to audiovisual speech, providing synchronization of the head, eye, and lip movements of the three-dimensional face model with appropriate facial expressions and word flow of the text. The proposed system can enhance speech perception and help children having learning deficits to improve their chances of success.
Stigson, Peter; Dotzauer, Erik; Yan Jinyue
Climate change poses an unprecedented challenge for policy makers. This paper analyzes how industry sector policy expertise can contribute to improved policy making processes. Previous research has identified that policy making benefit by including non-governmental policy analysts in learning processes. Recent climate and energy policy developments, including amendments and the introduction of new initiatives, have rendered current policy regimes as novel to both governments and the industry. This increases business investment risk perceptions and may thus reduce the effectiveness and efficiency of the policy framework. In order to explore how government-industry policy learning can improve policy making in this context, this article studied the Swedish case. A literature survey analyzed how policy learning had been previously addressed, identifying that the current situation regarding novel policies had been overlooked. Interviews provided how industrial actors view Swedish policy implementation processes and participatory aspects thereof. The authors conclude that an increased involvement of the industry sector in policy design and management processes can be an important measure to improve the effectiveness and efficiency of climate and energy policies
Pederson, JoEllen; Znosko, Jessi; Peters, Jesse; Cannata, Susan M.
The purpose of this paper is to discuss the advantages of combining place-as-text curriculum with an oral history collection to act as catalysts for transformational learning. These experiential and service learning practices complement each other to enrich the encounters students are afforded. First, the nature and procedures of place-as-text and…
Schnotz, Wolfgang; Mengelkamp, Christoph; Baadte, Christiane; Hauck, Georg
The term "modality effect" in multimedia learning means that students learn better from pictures combined with spoken rather than written text. The most prominent explanations refer to the split attention between visual text reading and picture observation which could affect transfer of information into working memory, maintenance of…
Herrlinger, Simone; Höffler, Tim N.; Opfermann, Maria; Leutner, Detlev
Adding pictures to a text is very common in today's education and might be especially beneficial for elementary school children, whose abilities to read and understand pure text have not yet been fully developed. Our study examined whether adding pictures supports learning of a biology text in fourth grade and whether the text modality (spoken or written) plays a role. Results indicate that overall, pictures enhanced learning but that the text should be spoken rather than written. These results are in line with instructional design principles derived from common multimedia learning theories. In addition, for elementary school children, it might be advisable to read texts out to the children. Reading by themselves and looking at pictures might overload children's cognitive capacities and especially their visual channel. In this case, text and pictures would not be integrated into one coherent mental model, and effective learning would not take place.
Prøitz, Tine Sophie
Learning outcomes can be considered to be a key concept in a changing education policy landscape, enhancing aspects such as benchmarking and competition. Issues relating to concepts of performance have a long history of debate within the field of education. Today, the concept of learning outcomes has become central in education policy development,…
Hybrid texts such as Horizons: Exploring the Universe, Hybrid (with CengageNOW) and Universe, Hybrid (with CengageNOW) are designed for higher education learning of astronomy in undergraduate online courses. In these hybrid texts, quiz and test bank questions have been revised to minimize easy look-up of answers by students via the Internet and discussion threads have been re-designed to allow for student selection of learning and for personalized learning, for example. By establishing connections between the student and the course content, student learning is enriched, students spend more time learning the material, student copying of answers is minimized, and student social engagement on the subject matter is increased. In this presentation, we discuss how Hybrid texts in Astronomy can increase student learning in online courses.
Mason, Lucia; Pluchino, Patrik; Tornatora, Maria Caterina
This study investigated the effects of reading a science text illustrated by either a labeled or unlabeled picture. Both the online process of reading the text and the offline conceptual learning from the text were examined. Eye-tracking methodology was used to trace text and picture processing through indexes of first- and second-pass reading or…
Lifelong learning is a key concept in EU policy documents not only on education, but also on economic competitiveness and social cohesion. The discourse on lifelong learning has been strongly criticised by educational researchers, who document that it often reflects narrow notions of learning and...
This paper discusses the relationship between ageing and learning, previous literature having confirmed that participation in continued learning in old age contributes to good health, satisfaction with life, independence and self-esteem. Realizing that learning is vital to active ageing, the Hong Kong government has implemented policies and…
Snyder, Jason; Frank, Lisa A. C.
The authors utilized a quasiexperimental design across five sections of a managerial communication course (N = 150) to test the role of course policies and student perceptions of the instructor in influencing student absenteeism and three indicators of student learning: grades, affective learning, and cognitive learning. The experimental group…
Steffensen, Jonny Trapp
EU rural development policy is gaining in relative significance as the "second pillar" of the Common Agricultural Policy (CAP). Its substance - objectives and instruments - is still under development. This article explores the contribution of so-called "policy learning" by the European Commission...
Mason, Lucia; Pluchino, Patrik; Tornatora, Maria Caterina; Ariasi, Nicola
This study investigated the online process of reading and the offline learning from an illustrated science text. The authors examined the effects of using a concrete or abstract picture to illustrate a text and adopted eye-tracking methodology to trace text and picture processing. They randomly assigned 59 eleventh-grade students to 3 reading…
Reid, Alan J.; Morrison, Gary M.
The digital revolution is shifting print-based textbooks to digital text, and it has afforded the opportunity to incorporate meaningful learning strategies and otherwise separate metacognitive activities directly into these texts as embedded support. A sample of 89 undergraduates read a digital, expository text on the basics of photography. The…
Staels, Eva; Van den Broeck, Wim
In this study, we examined whether orthographic learning can be demonstrated in disabled readers learning to read in a transparent orthography (Dutch). In addition, we tested the effect of the use of text-to-speech software, a new form of direct instruction, on orthographic learning. Both research goals were investigated by replicating Share's self-teaching paradigm. A total of 65 disabled Dutch readers were asked to read eight stories containing embedded homophonic pseudoword targets (e.g., Blot/Blod), with or without the support of text-to-speech software. The amount of orthographic learning was assessed 3 or 7 days later by three measures of orthographic learning. First, the results supported the presence of orthographic learning during independent silent reading by demonstrating that target spellings were correctly identified more often, named more quickly, and spelled more accurately than their homophone foils. Our results support the hypothesis that all readers, even poor readers of transparent orthographies, are capable of developing word-specific knowledge. Second, a negative effect of text-to-speech software on orthographic learning was demonstrated in this study. This negative effect was interpreted as the consequence of passively listening to the auditory presentation of the text. We clarify how these results can be interpreted within current theoretical accounts of orthographic learning and briefly discuss implications for remedial interventions. © Hammill Institute on Disabilities 2013.
This study investigated the longitudinal trends of e-learning research using text mining techniques. Six hundred and eighty-nine (689) refereed journal articles and proceedings were retrieved from the Science Citation Index/Social Science Citation Index database in the period from 2000 to 2008. All e-learning publications were grouped into two…
Zufic, Janko; Kalpic, Damir
Background: The area of research aimed for a more efficient e-learning is slowly widening from purely technical to the areas of psychology, didactics and methodology. The question is whether the text or background color influence the efficiency of memory, i.e. learning. If the answer to that question is positive, then another question arises which…
Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S.
This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…
Lin, Guangfa; Xia, Beicheng; Huang, Wangli; Jiang, Huixian; Chen, Youfei
The database of recording the snapshots of land parcels history is the foundation for the most of the models on simulating land use/cover change (LUCC) process. But the sequences of temporal snapshots are not sufficient to deduce and describe the mechanism of LUCC process. The temporal relationship between scenarios of LUCC we recorded could not be transfer into causal relationship categorically, which was regarded as a key factor in spatial-temporal reasoning. The proprietor of land parcels adapted themselves to the policies from governments and the change of production market, and then made decisions in this or that way. The occurrence of each change of a land parcel in an urban area was often related with one or more decision texts when it was investigated on the local scale with high resolution of the background scene. These decision texts may come from different sections of a hierarchical government system on different levels, such as villages or communities, towns or counties, cities, provinces or even the paramount. All these texts were balance results between advantages and disadvantages of different interest groups. They are the essential forces of LUCC in human dimension. Up to now, a methodology is still wanted for on how to express these forces in a simulation system using GIS as a language. The presented paper was part of our initial research on this topic. The term "Event" is a very important concept in the frame of "Object-Oriented" theory in computer science. While in the domain of temporal GIS, the concept of event was developed in another category. The definitions of the event and their transformation relationship were discussed in this paper on three modeling levels as real world level, conceptual level and programming level. In this context, with a case study of LUCC in recent 30 years in Xiamen city of Fujian province, P. R. China, the paper focused on how to extract information of events and rules from the policy files collected and integrate
Sari, B. P.; Feranie, S.; Winarno, N.
This research aim is to investigate the effect of Conceptual Change Text toward students’ argumentation skills in learning sound concept. The participant comes from one of International school in Bandung, Indonesia. The method that used in this research is a quasi-experimental design with one control group (N=21) and one experimental group (N=21) were involves in this research. The learning model that used in both classes is demonstration model which included teacher explanation and examples, the difference only in teaching materials. In experiment group learn with Conceptual Change Text, while control group learn with conventional book which is used in school. The results showed that Conceptual Change Text instruction was better than the conventional book to improved students’ argumentation skills of sound concept. Based on this results showed that Conceptual Change Text instruction can be an alternative tool to improve students’ argumentation skills significantly.
Vilanova, Rita; Martins, Isabel
This article dialogues with Matthew Weinstein's paper named "NGSS, disposability, and the ambivalence of Science in/under neoliberalism", in which he explores the argument that at the same time the NGSS framework is largely identified with neoliberal discourse, it presents points of ambivalence and resistance within. In this dialogue, we focused on two topics that we believe are important for the discussion of the ambivalences highlighted in the author's argument, namely: the the social production of indifference as a consequence of the neoliberal ideology and the production of a version of science streamlined for the neoliberal technoscientific job market within the `neoliberal ecosystem'. Based on the thesis of the Canadian philosopher Charles Taylor on ethics and on the concept of hybridism, we linked Weinsteins' analysis to issues related to individualism and instrumental reason, pointing out that it is possible that the ambivalences highlighted by Weinstein are, in fact, a component of neoliberal discourse. Nevertheless we agree that this kind of text presents loopholes that allows practices oriented for social change and for the improvement of democracies in progress. We conclude that for those who dedicate themselves to reflect upon educational strategies to cope with the hegemonic model remains the challenge of finding spaces and times in the curriculum in order to explore the gaps in policy texts and, more important, to promote the experience of democratic practices throughout the school communities.
Full Text Available In this paper we demonstrate approaches for opinion mining in Latvian text. Authors have applied, combined and extended results of several previous studies and public resources to perform opinion mining in Latvian text using two approaches, namely, semantic polarity analysis and machine learning. One of the most significant constraints that make application of opinion mining for written content classification in Latvian text challenging is the limited publicly available text corpora for classifier training. We have joined several sources and created a publically available extended lexicon. Our results are comparable to or outperform current achievements in opinion mining in Latvian. Experiments show that lexicon-based methods provide more accurate opinion mining than the application of Naive Bayes machine learning classifier on Latvian tweets. Methods used during this study could be further extended using human annotators, unsupervised machine learning and bootstrapping to create larger corpora of classified text.
Paula Gabriela Flores-Carrasco
Full Text Available This article aims (1 to describe the levels of self-regulation and reading comprehension of scientific expository texts; (2 to establish the relationship between self-regulation and reading comprehension; and (3 to compare the performance in comprehension when the printed media (paper or digital media (computer is used. A quasi-experimental, quantitative, descriptive and correlative design was implemented. The sample was composed of 55 university students from four careers of Education; they were in 1st and 3rd year of study at a regional university of the Council of Rectors of Chilean Universities. Three measuring instruments were used: a questionnaire of self-regulated learning and two comprehension tests based on the understanding of Parodi’s (2005 assessment model. The implementation was made in two consecutive moments; first, the self-questionnaire; then, the tests for reading comprehension in both media. With the data obtained, statistical tests of variance, one-way ANOVA, Pearson’s correlation, and means comparison with Bruner and Munzel and U-Mann Whitney’s tests were calculated. In conclusion, and different from the initial statement, it was obtained that university students have an adequate level of self-regulation and low reading comprehension in both data, even the scores are relatively lower in digital data. In both data the output is inverse to the complexity of the questions. Between 1st and 3rd year, there is no increase either in the self-regulation or in reading comprehension; but, exceptionally, the career of Primary General Education specialist on Language and History did. There is a strong relationship between reading comprehension in printed media and self-regulation (ARATEX. The support does not affect reading comprehension, but individual reading skills of the subjects do. A competent reader will have similar performance in both reading supports.
Full Text Available This contribution presents the results of the “Speech technology integrated learning modules for Intercultural Dialogue” project. The project objective was to increase the availability and quality of e-learning opportunities for less widely-used and less taught European languages using a user-friendly and highly accessible learning environment. The integration of new Text-to-Speech developments into web-based authoring software for tutorial CALL had a double goal: on the one hand increase the accessibility of e-learning packages, also for learners having difficulty reading (e.g. dyslexic learners or preferring auditory learning; on the other hand exploiting some didactic possibilities of this technology.
Buch, Steen Vigh; Treschow, Frederik Philip; Svendsen, Jesper Brink; Worm, Bjarne Skjødt
This study investigated the effectiveness of two different levels of e-learning when teaching clinical skills to medical students. Sixty medical students were included and randomized into two comparable groups. The groups were given either a video- or text/picture-based e-learning module and subsequently underwent both theoretical and practical examination. A follow-up test was performed 1 month later. The students in the video group performed better than the illustrated text-based group in the practical examination, both in the primary test (Pvideo group performed better on the follow-up test (P=0.04). Video-based e-learning is superior to illustrated text-based e-learning when teaching certain practical clinical skills.
Koga, Marcelo L; Freire, Valdinei; Costa, Anna H R
Reinforcement learning (RL) enables an agent to learn behavior by acquiring experience through trial-and-error interactions with a dynamic environment. However, knowledge is usually built from scratch and learning to behave may take a long time. Here, we improve the learning performance by leveraging prior knowledge; that is, the learner shows proper behavior from the beginning of a target task, using the knowledge from a set of known, previously solved, source tasks. In this paper, we argue that building stochastic abstract policies that generalize over past experiences is an effective way to provide such improvement and this generalization outperforms the current practice of using a library of policies. We achieve that contributing with a new algorithm, AbsProb-PI-multiple and a framework for transferring knowledge represented as a stochastic abstract policy in new RL tasks. Stochastic abstract policies offer an effective way to encode knowledge because the abstraction they provide not only generalizes solutions but also facilitates extracting the similarities among tasks. We perform experiments in a robotic navigation environment and analyze the agent's behavior throughout the learning process and also assess the transfer ratio for different amounts of source tasks. We compare our method with the transfer of a library of policies, and experiments show that the use of a generalized policy produces better results by more effectively guiding the agent when learning a target task.
Hannah Ayaba Tanye
Full Text Available The continual innovation in technology has ripple effect on the way services are offered and undoubtedly has affected educational policies leading to educational reform. Governments, including the Government of Ghana have shown support to Universities in their implementation of eLearning. However, there is gap in the eLearning practice in Ghana. A well structured eLearning system with a supervisory role of Government and support system from university management for eLearners is little to none. How should online course be accredited? What pedagogy would ensure that the impact of skills and knowledge are not compromise for distance learners? What security measures should be put in place to ensure that learner’s data is secured? How Universities collaboration challenges can be minimized? and How students’ satisfaction level of eLearning system can be enhanced? This study seeks to answer these questions as a basis for eLearning policy debate at the National level.
Figueroa, Rosa L; Ngo, Long H; Goryachev, Sergey; Wiechmann, Eduardo P
Objective This study explores active learning algorithms as a way to reduce the requirements for large training sets in medical text classification tasks. Design Three existing active learning algorithms (distance-based (DIST), diversity-based (DIV), and a combination of both (CMB)) were used to classify text from five datasets. The performance of these algorithms was compared to that of passive learning on the five datasets. We then conducted a novel investigation of the interaction between dataset characteristics and the performance results. Measurements Classification accuracy and area under receiver operating characteristics (ROC) curves for each algorithm at different sample sizes were generated. The performance of active learning algorithms was compared with that of passive learning using a weighted mean of paired differences. To determine why the performance varies on different datasets, we measured the diversity and uncertainty of each dataset using relative entropy and correlated the results with the performance differences. Results The DIST and CMB algorithms performed better than passive learning. With a statistical significance level set at 0.05, DIST outperformed passive learning in all five datasets, while CMB was found to be better than passive learning in four datasets. We found strong correlations between the dataset diversity and the DIV performance, as well as the dataset uncertainty and the performance of the DIST algorithm. Conclusion For medical text classification, appropriate active learning algorithms can yield performance comparable to that of passive learning with considerably smaller training sets. In particular, our results suggest that DIV performs better on data with higher diversity and DIST on data with lower uncertainty. PMID:22707743
Aunzo, Rodulfo T., Jr.
A lot of teachers are complaining that students are "texting" inside the classroom even during class hours. With this, this research study "on students' perception before the integration and the students' attitude after the integration of text messaging inside the classroom during the mathematics teaching-learning process was…
Leopold, Claudia; Leutner, Detlev
In three experiments, students were trained to use strategies for learning from scientific texts: text highlighting (Experiment 1), knowledge mapping (Experiment 2), and visualizing (Experiment 3). Each experiment compared a control condition, cognitive strategy training, and a combined cognitive strategy plus metacognitive self-regulation…
Snyder, Robin M.
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…
Chen, Yukun; Mani, Subramani; Xu, Hua
Supervised machine learning methods for clinical natural language processing (NLP) research require a large number of annotated samples, which are very expensive to build because of the involvement of physicians. Active learning, an approach that actively samples from a large pool, provides an alternative solution. Its major goal in classification is to reduce the annotation effort while maintaining the quality of the predictive model. However, few studies have investigated its uses in clinical NLP. This paper reports an application of active learning to a clinical text classification task: to determine the assertion status of clinical concepts. The annotated corpus for the assertion classification task in the 2010 i2b2/VA Clinical NLP Challenge was used in this study. We implemented several existing and newly developed active learning algorithms and assessed their uses. The outcome is reported in the global ALC score, based on the Area under the average Learning Curve of the AUC (Area Under the Curve) score. Results showed that when the same number of annotated samples was used, active learning strategies could generate better classification models (best ALC – 0.7715) than the passive learning method (random sampling) (ALC – 0.7411). Moreover, to achieve the same classification performance, active learning strategies required fewer samples than the random sampling method. For example, to achieve an AUC of 0.79, the random sampling method used 32 samples, while our best active learning algorithm required only 12 samples, a reduction of 62.5% in manual annotation effort. PMID:22127105
Hospers, Gerrit J.; Beugelsdijk, Sjoerd
This paper deals with an intriguing paradox that can be observed in today’s regional economic policy making: whereas unique local factors are increasingly seen as the determinants of regional economic success, simultaneously more and more governments try to copy policy experiences that proved to be
Serra, Michael J; Dunlosky, John
In two experiments we systematically explored whether people consider the format of text materials when judging their text learning, and whether doing so might inappropriately bias their judgements. Participants studied either text with diagrams (multimedia) or text alone and made both per-paragraph judgements and global judgements of their text learning. In Experiment 1 they judged their learning to be better for text with diagrams than for text alone. In that study, however, test performance was greater for multimedia, so the judgements may reflect either a belief in the power of multimedia or on-line processing. Experiment 2 replicated this finding and also included a third group that read texts with pictures that did not improve text performance. Judgements made by this group were just as high as those made by participants who received the effective multimedia format. These results confirm the hypothesis that people's metacomprehension judgements can be influenced by their beliefs about text format. Over-reliance on this multimedia heuristic, however, might reduce judgement accuracy in situations where it is invalid.
Full Text Available Steen Vigh Buch,1 Frederik Philip Treschow,2 Jesper Brink Svendsen,3 Bjarne Skjødt Worm4 1Department of Vascular Surgery, Rigshospitalet, Copenhagen, Denmark; 2Department of Anesthesia and Intensive Care, Herlev Hospital, Copenhagen, Denmark; 3Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; 4Department of Anesthesia and Intensive Care, Bispebjerg Hospital, Copenhagen, Denmark Background and aims: This study investigated the effectiveness of two different levels of e-learning when teaching clinical skills to medical students. Materials and methods: Sixty medical students were included and randomized into two comparable groups. The groups were given either a video- or text/picture-based e-learning module and subsequently underwent both theoretical and practical examination. A follow-up test was performed 1 month later. Results: The students in the video group performed better than the illustrated text-based group in the practical examination, both in the primary test (P<0.001 and in the follow-up test (P<0.01. Regarding theoretical knowledge, no differences were found between the groups on the primary test, though the video group performed better on the follow-up test (P=0.04. Conclusion: Video-based e-learning is superior to illustrated text-based e-learning when teaching certain practical clinical skills. Keywords: e-learning, video versus text, medicine, clinical skills
Full Text Available This paper deals with the right to learn in school type education and considers the assessment as assurance of teaching and learning quality. It deals with the current evaluation processes and discriminatory misconceptions of merely summative assessments, which tend to qualify students. This text evaluates the punitive bias of meritocratic grading of learning and argues that only formative assessment can ensure the right to learn
Fürstenau, B.; Kneppers, L.; Dekker, R.; Cañas, A.J.; Novak, J.D.; Vanhaer, J.
In two studies we investigated whether concept mapping or summary writing better support students while learning from authentic problems in the field of business. We interpret concept mapping and summary writing as elaboration tools aiming at helping students to understand new information, and to
Lin, Shu-Fen; Lin, Huann-shyang
Comics are popular with adolescents because of their features of humor, narrative, and visual imagery. The purposes of this study were to examine the learning outcomes and emotional perceptions of reading a science comic book and a science text booklet for students of different levels of achievement, and to explore the main factors of the two media which attract high-school students to learn science. A mixed-method quasi-experimental design was adopted. The participants were 697 grade ten students from eight schools with different levels of academic achievement. Two similar classes in each of the eight schools were assigned as the comic group or the text group. The results indicated that the science comic book benefited medium achievers more than the science text booklet did, but the contrary result was found for the high achievers. In comparison, the two media benefited the low achievers equally, but both had only a limited effect due to the students' lack of prior knowledge. We conclude four kinds of evidence, including perceived difficulty of comprehension, reasons for interest/disinterest, emotional perceptions of learning science, and learning time, to support the phenomenon of the learning benefit of media specific to certain achievers' science learning.
Dunlop, Claire A; Radaelli, Claudio M
In response to the attacks on the sovereign debt of some Eurozone countries, European Union (EU) leaders have created a set of preventive and corrective policy instruments to coordinate macro-economic policies and reforms. In this article, we deal with the European Semester, a cycle of information exchange, monitoring and surveillance. Countries that deviate from the targets are subjected to increasing monitoring and more severe 'corrective' interventions, in a pyramid of responsive exchanges between governments and EU institutions. This is supposed to generate coordination and convergence towards balanced economies via mechanisms of learning. But who is learning what? Can the EU learn in the 'wrong' mode? We contribute to the literature on theories of the policy process by showing how modes of learning can be operationalized and used in empirical analysis. We use policy learning as theoretical framework to establish empirically the prevalent mode of learning and its implications for both the power of the Commission and the normative question of whether the EU is learning in the 'correct' mode.
Ma, K.; Wu, L.; Tao, L.; Li, W.; Xie, Z.
The matching of spatial entities with related text is a long-standing research topic that has received considerable attention over the years. This task aims at enrich the contents of spatial entity, and attach the spatial location information to the text chunk. In the data fusion field, matching spatial entities with the corresponding describing text chunks has a big range of significance. However, the most traditional matching methods often rely fully on manually designed, task-specific linguistic features. This work proposes a Deep Similarity Metric Learning Model (DSMLM) based on Siamese Neural Network to learn similarity metric directly from the textural attributes of spatial entity and text chunk. The low-dimensional feature representation of the space entity and the text chunk can be learned separately. By employing the Cosine distance to measure the matching degree between the vectors, the model can make the matching pair vectors as close as possible. Mearnwhile, it makes the mismatching as far apart as possible through supervised learning. In addition, extensive experiments and analysis on geological survey data sets show that our DSMLM model can effectively capture the matching characteristics between the text chunk and the spatial entity, and achieve state-of-the-art performance.
Full Text Available The Reading, Engaging, and Learning project (REAL investigated whether a classroom intervention that enhanced young children's experience with informational books would increase reading achievement and engagement. Participants attended schools serving low income neighborhoods with 86% African American enrollment. The longitudinal study spanned second through fourth grades. Treatment conditions were: (1 Text Infusion/Reading for Learning Instruction -- students were given greater access to informational books in their classroom libraries and in reading instruction; (2 Text Infusion Alone -- the same books were provided but teachers were not asked to alter their instruction; (3 Traditional Instruction -- students experienced business as usual in the classroom. Children were assessed each year on measures of reading and reading engagement, and classroom instructional practices were observed. On most measures, the informational text infusion intervention did not yield differential growth over time. However, the results inform efforts to increase children’s facility with informational text in the early years in order to improve reading comprehension.
Premadasa, H. K. Salinda; Meegama, R. G. N.
Short messaging service (SMS) is perhaps the most popular mobile technology prevalent among students in higher education due to its ubiquitous nature and the capability of two-way communication. However, a major limitation in two-way text messaging is sending back a part of received data with the reply message. This limitation results in users of a mobile learning environment being unable to reply back to the correct destination. This article presents a two-way text messaging system that can ...
Describes study that examined the instructional effectiveness of abstract diagrams and verbal explanations in learning from social science texts. The control and treatment groups of adult learners at Everyman's University (Israel) are described, verbal and visual aptitude tests are explained, and results are analyzed. (25 references) (Author/LRW)
Braid, Bernice, Ed.; Long, Ada, Ed.
The decade since publication of "Place as Text: Approaches to Active Learning" has seen an explosion of interest and productivity in the field of experiential education. This monograph presents a story of an experiment and a blueprint of sorts for anyone interested in enriching an existing program or willing to experiment with pedagogy…
Schroeder, Sascha; Richter, Tobias; McElvany, Nele; Hachfeld, Axinja; Baumert, Jurgen; Schnotz, Wolfgang; Horz, Holger; Ullrich, Mark
This study investigated the relations between teachers' pedagogical beliefs and students' self-reported engagement in learning from texts with instructional pictures. Participants were the biology, geography, and German teachers of 46 classes (Grades 5-8) and their students. Teachers' instructional behaviors and students' engagement in learning…
Reid, D. J.; Beveridge, M.
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.…
McClung, Nicola A.
Critical literacy provides the opportunity to queer picture books and challenge normative depictions of family. In this autoethnography, the author describes her 4-year-old's journey of learning to talk back to texts as she actively constructs a better, more just world. The author argues that a critical literacy tool kit is vital to every child's…
Lin, Shu-Fen; Lin, Huann-shyang
Comics are popular with adolescents because of their features of humor, narrative, and visual imagery. The purposes of this study were to examine the learning outcomes and emotional perceptions of reading a science comic book and a science text booklet for students of different levels of achievement, and to explore the main factors of the two…
Meyer, Nancy K.; Bouck, Emily C.
Adolescents with learning disabilities in reading have difficulties with reading and understanding difficult gradelevel curricular material. One frequently used method of support is using read-aloud accommodations, which can be live read-alouds or text-to-speech (TTS) read-alouds. A single case alternating treatment design was used to examine the…
Full Text Available The re-conceptualisation of texts over the last 20 years, as well as the development of a multimodal understanding of communication and representation of knowledge, has profound consequences for the reading and understanding of multimodal texts, not least in educational contexts. However, if teachers and students are given tools to “unwrap” multimodal texts, they can develop a deeper understanding of texts, information structures, and the textual organisation of knowledge. This article presents a model for working with multimodal texts in education with the intention to highlight mutual multimodal text analysis in relation to the subject content. Examples are taken from a Singaporean science textbook as well as a Chilean science textbook, in order to demonstrate that the framework is versatile and applicable across different cultural contexts. The model takes into account the following aspects of texts: the general structure, how different semiotic resources operate, the ways in which different resources are combined (including coherence, the use of figurative language, and explicit/implicit values. Since learning operates on different dimensions – such as social and affective dimensions besides the cognitive ones – our inclusion of figurative language and values as components for textual analysis is a contribution to multimodal text analysis for learning.
Jones, Mavis; Einsiedel, Edna
Attempts to evaluate public consultations, participatory technology assessment, and deliberative democracy have typically considered impacts on either policy or participants. The determination of impacts on policy institutions has been limited due to the challenges of tracing effects through the policy process, or penetrating bureaucratic walls. This paper presents findings from a retrospective study exploring the institutional lessons learned from a 2001 Canadian national public consultation on xenotransplantation. The consultation was conducted through an arm's-length process and involved the use of citizen juries in six regional sites. We conducted in-depth interviews of regulatory and policy actors who were engaged in early policy discussions and the consultation process. We reviewed evaluations of this process, both internal and external, which gave us richer insights into what institutional actors saw as the impacts of this consultative experience on their policy environment. Participants in our research identified a broader shift toward openness in policy culture which they linked specifically to the innovative consultation process employed for xenotransplantation. We argue that beyond input into policy decisions, a consultation may have an impact in terms of its contribution to overall shifts in institutional culture (related to institutional learning), such as an "opening" of technological decision processes to a broader range of actors, knowledge, and values. Copyright © 2011 Elsevier Ltd. All rights reserved.
Felder, Martijn; van de Bovenkamp, Hester; de Bont, Antoinette
In Dutch healthcare, new market mechanisms have been introduced on an experimental basis in an attempt to contain costs and improve quality. Informed by a constructivist approach, we demonstrate that such experiments are not neutral testing grounds. Drawing from semi-structured interviews and policy texts, we reconstruct an experiment on free pricing in dental care that turned into a critical example of market failure, influencing developments in other sectors. Our analysis, however, shows that (1) different market logics and (2) different experimental logics were reproduced simultaneously during the course of the experiment. We furthermore reveal how (3) evaluation and political life influenced which logics were reproduced and became taken as the lessons learned. We use these insights to discuss the role of evaluation in learning from policy experimentation and close with four questions that evaluators could ask to better understand what is learned from policy experiments, how , and why .
This dissertation examines conversations and attitudes about mental health in Twitter discourse. The research uses big data collection, machine learning classification, and social network analysis to answer the following questions (1) what mental health topics do people discuss on Twitter? (2) Have patterns of conversation changed over time? Have…
Full Text Available The present study investigates the effects that different types of multimedia glosses, namely textual, pictorial, and textual + pictorial, have on text comprehension and vocabulary learning when the goal is exclusively comprehension of a computerized text. This study is based on the theoretical framework of attention, which maintains that attention is critical in the acquisition process of an L2 (Robinson, 1995; Schmidt, 1995, 2001; Tomlin and Villa, 1994. Ninety-four participants read a text under one of four gloss conditions while asked to think aloud. This study investigated whether any of the conditions promoted noticing and whether this noticing led to better comprehension of the text and learning of the target vocabulary words. Reading comprehension, recognition, and production measures were utilized in a pre-post test design. Results of quantitative and qualitative analyses of the data gathered showed first that all multimedia gloss groups noticed and recognized significantly more of the target words than the control group. Second, no significant differences were found among any of the groups in production of the target vocabulary items. Finally, regarding comprehension, results showed that the combination gloss group significantly outperformed all other groups. These results confirm that the multimedia glosses under investigation have a different effect on comprehension and vocabulary learning respectively.
Nalepa, Gislaine M.; Ávila, Bráulio C.; Enembreck, Fabrício; Scalabrin, Edson E.
This paper presents an intelligent offer policy in a negotiation environment, in which each agent involved learns the preferences of its opponent in order to improve its own performance. Each agent must also be able to detect drifts in the opponent's preferences so as to quickly adjust itself to their new offer policy. For this purpose, two simple learning techniques were first evaluated: (i) based on instances (IB3) and (ii) based on Bayesian Networks. Additionally, as its known that in theory group learning produces better results than individual/single learning, the efficiency of IB3 and Bayesian classifier groups were also analyzed. Finally, each decision model was evaluated in moments of concept drift, being the drift gradual, moderate or abrupt. Results showed that both groups of classifiers were able to effectively detect drifts in the opponent's preferences.
H.K. Salinda Premadasa
Full Text Available Short messaging service (SMS is perhaps the most popular mobile technology prevalent among students in higher education due to its ubiquitous nature and the capability of two-way communication. However, a major limitation in two-way text messaging is sending back a part of received data with the reply message. This limitation results in users of a mobile learning environment being unable to reply back to the correct destination. This article presents a two-way text messaging system that can be integrated into a learning management system (LMS to provide an interactive learning experience to the user community. Initially, a database is integrated into the LMS that holds message information such as recipient's phone number, message body and user data header. A specific port associated with the SMS is used to conceal and exchange data of a particular course unit. Subsequently, software in the student's mobile device captures this message and sends back the reply message to the appropriate course unit allowing both teachers and students to view messages sent and replies received pertaining to a particular course. Results indicate the educational impact of the proposed system in improving the learning environment and benefits it offers to the community in a campus-wide implementation.
In this paper we analyze disinflation in two environments.One in which the central bank has perfect knowledge, in the sense that it understands and observes the process by which private sector inflation expectations are generated, and one in which the central bank has to learn the private sector
Ciullo, Stephen; Lo, Yu-Ling Sabrina; Wanzek, Jeanne; Reed, Deborah K
This research synthesis was conducted to understand the effectiveness of interventions designed to improve learning from informational text for students with learning disabilities in elementary school (K-5). The authors identified 18 studies through a comprehensive search. The interventions were evaluated to determine treatment effects and to understand implementation and methodological variables that influenced outcomes. Moderate to large effect sizes on researcher-developed measures for cognitive strategy interventions were reported. Interventions that utilized graphic organizers as study guides to support social studies learning were also associated with improved outcomes. The findings are considered within the context of limited implementation of standardized measures. The authors extend findings from previous research by reporting a paucity of interventions to enhance higher-level cognitive and comprehension skills. The majority of reviewed studies targeted fact acquisition and main idea identification, and overall encouraging findings were noted for these skills. Implications for future research are discussed. © Hammill Institute on Disabilities 2014.
Scheiter, Katharina; Schleinschok, Katrin; Ainsworth, Shaaron
The goal of this study was to explore two accounts for why sketching during learning from text is helpful: (1) sketching acts like other constructive strategies such as self-explanation because it helps learners to identify relevant information and generate inferences; or (2) that in addition to these general effects, sketching has more specific benefits due to the pictorial representation that is constructed. Seventy-three seventh-graders (32 girls, M = 12.82 years) were first taught how to either create sketches or self-explain while studying science texts. During a subsequent learning phase, all students were asked to read an expository text about the greenhouse effect. Finally, they were asked to write down everything they remembered and then answer transfer questions. Strategy quality during learning was assessed as the number of key concepts that had either been sketched or mentioned in the self-explanations. The results showed that at an overall performance level there were only marginal group differences. However, a more in-depth analysis revealed that whereas no group differences emerged for students implementing either strategy poorly, the sketching group clearly outperformed the self-explanation group for students who applied the strategies with higher quality. Furthermore, higher sketching quality was strongly related to better learning outcomes. Thus, the study's results are more in line with the second account: Sketching can have a beneficial effect on learning above and beyond generating written explanations; at least, if well deployed. Copyright © 2017 Cognitive Science Society, Inc.
... other outreach to employees about the safety risks associated with texting while driving. (d... Driving AGENCIES: Department of Defense (DoD), General Services Administration (GSA), and National... 13513, issued on October 1, 2009, entitled ``Federal Leadership on Reducing Text Messaging while Driving...
... Executive Order (E.O.) 13513, dated October 1, 2009, entitled ``Federal Leadership on Reducing Text..., entitled ``Federal Leadership on Reducing Text Messaging while Driving.'' The rule requires Government... modified to include the Federal Motor Carrier Safety Administration (FMCSA) definitions of electronic...
opportunities to flourish or perish. Further, it acknowledges the importance for adult education and learning policies of governance beyond and across the purview of governmental structures that operate within single countries, where state-led institutions and non-governmental international organizations play...
Kubalìk, Jiřì; Alibekov, Eduard; Babuska, R.; Dochain, Denis; Henrion, Didier; Peaucelle, Dimitri
Model-based reinforcement learning (RL) algorithms can be used to derive optimal control laws for nonlinear dynamic systems. With continuous-valued state and input variables, RL algorithms have to rely on function approximators to represent the value function and policy mappings. This paper
In this era of globalisation, the present perception of lifelong learning (LLL) in the Indian policy domain has been going through major changes in an attempt to make it nationally realistic yet globally viable. In this process, all facets of the concept of LLL are constantly metamorphosing, and this in many ways outperforms the older perception…
Kolog, Emmanuel Awuni; Montero, Calkin Suero; Toivonen, Tapani
Students’ academic achievement is largely driven by their social phenomena, which is shaped by social influence and opinion dynamics. In this paper, we employed a machine learning technique to detect social influence and sentiment in text-based students’ life stories. The life stories were first pre-processed and clustered using k-means with euclidean distance. After that, we identified domestic, peer and school staff as the main influences on students’ academic development. The various influ...
Full Text Available Abstract Background A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and biodiversity text sources. A scientific name acts as an important metadata element to link biological information. Results We present NetiNeti (Name Extraction from Textual Information-Name Extraction for Taxonomic Indexing, a machine learning based approach for recognition of scientific names including the discovery of new species names from text that will also handle misspellings, OCR errors and other variations in names. The system generates candidate names using rules for scientific names and applies probabilistic machine learning methods to classify names based on structural features of candidate names and features derived from their contexts. NetiNeti can also disambiguate scientific names from other names using the contextual information. We evaluated NetiNeti on legacy biodiversity texts and biomedical literature (MEDLINE. NetiNeti performs better (precision = 98.9% and recall = 70.5% compared to a popular dictionary based approach (precision = 97.5% and recall = 54.3% on a 600-page biodiversity book that was manually marked by an annotator. On a small set of PubMed Central’s full text articles annotated with scientific names, the precision and recall values are 98.5% and 96.2% respectively. NetiNeti found more than 190,000 unique binomial and trinomial names in more than 1,880,000 PubMed records when used on the full MEDLINE database. NetiNeti also successfully identifies almost all of the new species names mentioned within web pages. Conclusions We present NetiNeti, a machine learning based approach for identification and discovery of scientific names. The system implementing the approach can be accessed at http://namefinding.ubio.org.
Full Text Available Ontology learning (OL is the computational task of generating a knowledge base in the form of an ontology, given an unstructured corpus in natural language (NL. While most works in the field of ontology learning have been primarily based on a statistical approach to extract lightweight OL, very few attempts have been made to extract axiomatic OL (called heavyweight OL from NL text documents. Axiomatic OL supports more precise formal logic-based reasoning when compared to lightweight OL. Lexico-syntactic pattern matching and statisticsal one cannot lead to very accurate learning, mostly because of several linguistic nuances in the NL. Axiomatic OL is an alternative methodology that has not been explored much, where a deep linguistics analysis in computational linguistics is used to generate formal axioms and definitions instead of simply inducing a taxonomy. The ontology that is created not only stores the information about the application domain in explicit knowledge, but also can deduce the implicit knowledge from this ontology. This research will explore the English translation of the meaning of Quranic texts.
Full Text Available In this paper we discuss a case study investigating how the academic and personal development of first year students on an undergraduate sports education degree can be supported and enhanced with mobile SMS communication. SMS-based technologies were introduced in response to students’ particular needs (in transition to Higher Education and characteristics (‘digital natives’. Despite being unaccustomed to using their mobile phones for academic study, students willingly participated in SMS communication with their tutor via a texting management service. Drawing on evidence from two student surveys, focus groups and a tutor’s journal, we illustrate the potential that mobile SMS communication has to link and establish continuity between face to face teaching sessions and online learning activities in the Virtual Learning Environment (VLE. Many students perceived the SMS communication to have had a positive impact on their management of study time. We link our findings with the existing literature and argue that mobile text based communication has the potential to support the development of time management skills, an important component of self regulatory learning, a skill which has been shown to be key in making a successful transition.
BjÃƒÂ¶rn Olof Hedin
Full Text Available This study examines how media files sent to mobile phones can be used to improve education at universities, and describes a prototype implement of such a system using standard components. To accomplish this, university students were equipped with mobile phones and software that allowed teachers to send text-based, audio-based and video-based messages to the students. Data was collected using questionnaires, focus groups and log files. The conclusions were that students preferred to have information and learning content sent as text, rather than audio or video. Text messages sent to phones should be no longer than 2000 characters. The most appreciated services were notifications of changes in course schedules, short lecture introductions and reminders. The prototype showed that this functionality is easy to implement using standard components.
This paper investigates the question whether different forms of policy learning influence each other. The focus is on relationships between different forms of policy learning, which are explored on the basis of case study research in the field of research, technology and innovation policy-making in Austria. Methods utilised are expert interviews and document analysis besides literature and media recherché. With the goal to better understand the mechanisms behind learning processes, different ...
Prinsen, Gerard; Overton, John
Simulation games have a long history in education and are well suited to learning about negotiation, power, relationships and uncertain outcomes. This paper reflects on the experience of using a semester-long simulation game to introduce postgraduate students to development policy. It focuses on three issues identified in the literature--realism,…
Full Text Available Text clustering is an effective approach to collect and organize text documents into meaningful groups for mining valuable information on the Internet. However, there exist some issues to tackle such as feature extraction and data dimension reduction. To overcome these problems, we present a novel approach named deep-learning vocabulary network. The vocabulary network is constructed based on related-word set, which contains the “cooccurrence” relations of words or terms. We replace term frequency in feature vectors with the “importance” of words in terms of vocabulary network and PageRank, which can generate more precise feature vectors to represent the meaning of text clustering. Furthermore, sparse-group deep belief network is proposed to reduce the dimensionality of feature vectors, and we introduce coverage rate for similarity measure in Single-Pass clustering. To verify the effectiveness of our work, we compare the approach to the representative algorithms, and experimental results show that feature vectors in terms of deep-learning vocabulary network have better clustering performance.
Sarkar, Achintya Kumar; Tan, Zheng-Hua
In this paper, we present a time-contrastive learning (TCL) based bottleneck (BN) feature extraction method for speech signals with an application to text-dependent (TD) speaker verification (SV). It is well-known that speech signals exhibit quasi-stationary behavior in and only in a short interval......, and the TCL method aims to exploit this temporal structure. More specifically, it trains deep neural networks (DNNs) to discriminate temporal events obtained by uniformly segmenting speech signals, in contrast to existing DNN based BN feature extraction methods that train DNNs using labeled data...... to discriminate speakers or pass-phrases or phones or a combination of them. In the context of speaker verification, speech data of fixed pass-phrases are used for TCL-BN training, while the pass-phrases used for TCL-BN training are excluded from being used for SV, so that the learned features can be considered...
Ulph, A.; Maddison, D.
In this paper we construct a simple model of global warming which captures a number of key features of the global warming problem: (1) environmental damages are related to the stock of greenhouse gases in the atmosphere; (2) the global commons nature of the problem means that these are strategic interactions between the emissions policies of the governments of individual nation states; (3) there is uncertainty about the extent of the future damages that will be incurred by each country from any given level of concentration of greenhouse gases but there is the possibility that at a future date better information about the true extent of environmental damages may become available; an important aspect of the problem is the extent to which damages in different countries may be correlated. In the first part of the paper we consider a simple model with two symmetric countries and show that the value of perfect information is an increasing function of the correlation between damages in the two countries in both the cooperative and non-cooperative equilibria. However, while the value of perfect information is always non-negative in the cooperative equilibrium, in the non- cooperative equilibrium there is a critical value of the correlation coefficient below which the value of perfect information will be negative. In the second part of the paper we construct an empirical model of global warming distinguishing between OECD and non-OECD countries and show that in the non-cooperative equilibrium the value of perfect information for OECD countries is negative when the correlation coefficient between environmental damages for OECD and non-OECD countries is negative. The implications of these results for international agreements are discussed. 3 tabs., 26 refs
Zumalt, Caitlin J.; Williamson, Vickie M.
Students in a first-semester general chemistry course at a large southwestern university completed a 3-week homework assignment using MindTap, a Cengage Learning product. MindTap is the first major electronic system that has homework questions embedded in the text, such that students read a short section of the textbook and then answer a question…
Pedersen, Kamilla; Moeller, Martin Holdgaard; Paltved, Charlotte
OBJECTIVES: The aim of this study was to explore medical students' learning experiences from the didactic teaching formats using either text-based patient cases or video-based patient cases with similar content. The authors explored how the two different patient case formats influenced students......' perceptions of psychiatric patients and students' reflections on meeting and communicating with psychiatric patients. METHODS: The authors conducted group interviews with 30 medical students who volunteered to participate in interviews and applied inductive thematic content analysis to the transcribed...
Wu, Leon Yufeng; Yamanaka, Akio
In light of the increased usage of instructional media for teaching and learning, the design of these media as aids to convey the content for learning can be crucial for effective learning outcomes. In this vein, the literature has given attention to how concurrent on-screen text can be designed using these media to enhance learning performance.…
on citizenship and democracy. It highlights several significant shifts: increased awareness of the role of adult education/lifelong learning in enhancing economic growth and social cohesion and mobility, challenging economic and social exclusion and inequality, and developing human and social capital; increased......Most observers regard both adult and higher education as key for citizenship and democracy yet the worldwide contexts, appearance and expression of adult education and lifelong learning have changed significantly during the past 20 years. Focusing on ten countries (Scotland, Czech Republic, USA......, Brazil, Mexico, Botswana, Ghana, Palestine, South Korea and India) and five international organisations, this book explores recent changes in their overall contexts and policies about adult education, how such policies intersect with developments in higher education and how they may contribute to debates...
Spitters, Hilde; van de Goor, Ien; Juel Lau, Cathrine
Since public health problems are complex and the related policies need to address a wide range of sectors, cross-sectoral collaboration is beneficial. One intervention focusing on stimulating collaboration is a ‘policy game’. The focus on specific problems facilitates relationships between...... the stakeholders and stimulates cross-sectoral policymaking. The present study explores stakeholders’ learning experiences with respect to the collaboration process in public health policymaking. This was achieved via their game participation, carried out in real-life stakeholder networks in the Netherlands...... the collaboration processes in local policymaking. Specific learning experiences were related to: (i) the stakeholder network, (ii) interaction and (iii) relationships. The game also increased participant’s understanding of group dynamics and need for a coordinator in policymaking. This exploratory study shows...
Kevin P. Gallagher; Mehdi Shafaeddin
Previous work has shown that the results of both China and Mexicos export-led market reforms over the past quarter century have been strikingly different. In contrast to China, Mexico has not managed to increase the value added of its exports of manufactured goods and has subsequently had a difficult time competing with China in world markets. Building on this previous work, in this paper we conduct a comparative analysis of the role of government policies in industrial learning and the devel...
Full Text Available By following the example proposed by Corrêa (2011 in the investigation of texts produced by undergraduate and pre-undergraduate students in two different assessment, this work aims to approach “hidden” aspects in the teaching of writing at the university (Street, 2009, to reflections produced in the language field, in particular the ones referred as “socially assumed”, proposed by Voloshinov/Bakhtin (s/d: 1926. It is particularly important to investigate the conception of text in digital context, by means of the study of updated semiotic resources in the production of undergraduate students using a computer with internet access in the process of semi-present Distance Learning (DL. The collected material comprises 29 (twenty nine texts which were produced by students of the semi-present Pedagogy Course from Univesp (Universidade Virtual do Estado de São Paulo – Virtual University from the state of São Paulo, who were studying “Education and Language”, in 2010. This qualitative analysis aims to show that regarding the institution there is a prevalence of structural and procedural aspects for the accomplishment of the proposed activity and, regarding the undergraduate student it is noticed that the production is characterized by a traditional conception of text, mainly recognized by written verbal text, although the proposal prioritized the relation between verbal and non verbal language. Regarding discursive-linguistic studies, it is important to reflect about a text conception that privileges the integration of multiple semiosis by taking into account the socio-historical interlocution character established within utterances of others.
S. Moyson (Stéphane)
markdownabstract__Abstract__ Policy learning designates the relatively enduring alterations of policymakers’ beliefs and preferences regarding policies, following new information and experience. Policy leaning being a crucial factor of policy change, the study of its factors is central. The
Full Text Available There is a large number of studies on how to promote students’ cognitive processes and learning achievements through various learning activities supported by advanced learning technologies. However, not many of them focus on applying the knowledge that students learn in school to solve authentic daily life problems. This study aims to propose a cognitive diffusion model called User-oriented Context-to-Text Recognition for Learning (U-CTRL to facilitate and improve students’ learning and cognitive processes from lower levels (i.e., Remember and Understand to higher levels (i.e., Apply and above through an innovative approach, called User-Oriented Context-to-Text Recognition for Learning (U-CTRL. With U-CTRL, students participate in learning activities in which they capture the learning context that can be scanned and recognized by a computer application as text. Furthermore, this study proposes the use of an innovative model, called Cognitive Diffusion Model, to investigate the diffusion and transition of students’ cognitive processes in different learning stages including pre-schooling, after-schooling, crossing the chasm, and higher cognitive processing. Finally, two cases are presented to demonstrate how the U-CTRL approach can be used to facilitate student cognition in their learning of English and Natural science.
Bravo, Àlex; Li, Tong Shu; Su, Andrew I; Good, Benjamin M; Furlong, Laura I
Drug toxicity is a major concern for both regulatory agencies and the pharmaceutical industry. In this context, text-mining methods for the identification of drug side effects from free text are key for the development of up-to-date knowledge sources on drug adverse reactions. We present a new system for identification of drug side effects from the literature that combines three approaches: machine learning, rule- and knowledge-based approaches. This system has been developed to address the Task 3.B of Biocreative V challenge (BC5) dealing with Chemical-induced Disease (CID) relations. The first two approaches focus on identifying relations at the sentence-level, while the knowledge-based approach is applied both at sentence and abstract levels. The machine learning method is based on the BeFree system using two corpora as training data: the annotated data provided by the CID task organizers and a new CID corpus developed by crowdsourcing. Different combinations of results from the three strategies were selected for each run of the challenge. In the final evaluation setting, the system achieved the highest Recall of the challenge (63%). By performing an error analysis, we identified the main causes of misclassifications and areas for improving of our system, and highlighted the need of consistent gold standard data sets for advancing the state of the art in text mining of drug side effects.Database URL: https://zenodo.org/record/29887?ln¼en#.VsL3yDLWR_V. © The Author(s) 2016. Published by Oxford University Press.
Luo, Biao; Wu, Huai-Ning; Huang, Tingwen
The H∞ control design problem is considered for nonlinear systems with unknown internal system model. It is known that the nonlinear H∞ control problem can be transformed into solving the so-called Hamilton-Jacobi-Isaacs (HJI) equation, which is a nonlinear partial differential equation that is generally impossible to be solved analytically. Even worse, model-based approaches cannot be used for approximately solving HJI equation, when the accurate system model is unavailable or costly to obtain in practice. To overcome these difficulties, an off-policy reinforcement leaning (RL) method is introduced to learn the solution of HJI equation from real system data instead of mathematical system model, and its convergence is proved. In the off-policy RL method, the system data can be generated with arbitrary policies rather than the evaluating policy, which is extremely important and promising for practical systems. For implementation purpose, a neural network (NN)-based actor-critic structure is employed and a least-square NN weight update algorithm is derived based on the method of weighted residuals. Finally, the developed NN-based off-policy RL method is tested on a linear F16 aircraft plant, and further applied to a rotational/translational actuator system.
Full Text Available Text documents can be described by a number of abstract concepts such as semantic category, writing style, or sentiment. Machine learning (ML models have been trained to automatically map documents to these abstract concepts, allowing to annotate very large text collections, more than could be processed by a human in a lifetime. Besides predicting the text's category very accurately, it is also highly desirable to understand how and why the categorization process takes place. In this paper, we demonstrate that such understanding can be achieved by tracing the classification decision back to individual words using layer-wise relevance propagation (LRP, a recently developed technique for explaining predictions of complex non-linear classifiers. We train two word-based ML models, a convolutional neural network (CNN and a bag-of-words SVM classifier, on a topic categorization task and adapt the LRP method to decompose the predictions of these models onto words. Resulting scores indicate how much individual words contribute to the overall classification decision. This enables one to distill relevant information from text documents without an explicit semantic information extraction step. We further use the word-wise relevance scores for generating novel vector-based document representations which capture semantic information. Based on these document vectors, we introduce a measure of model explanatory power and show that, although the SVM and CNN models perform similarly in terms of classification accuracy, the latter exhibits a higher level of explainability which makes it more comprehensible for humans and potentially more useful for other applications.
Cao, Jie; Wu, Zhiang; Wu, Junjie; Xiong, Hui
Information-theoretic clustering aims to exploit information-theoretic measures as the clustering criteria. A common practice on this topic is the so-called Info-Kmeans, which performs K-means clustering with KL-divergence as the proximity function. While expert efforts on Info-Kmeans have shown promising results, a remaining challenge is to deal with high-dimensional sparse data such as text corpora. Indeed, it is possible that the centroids contain many zero-value features for high-dimensional text vectors, which leads to infinite KL-divergence values and creates a dilemma in assigning objects to centroids during the iteration process of Info-Kmeans. To meet this challenge, in this paper, we propose a Summation-bAsed Incremental Learning (SAIL) algorithm for Info-Kmeans clustering. Specifically, by using an equivalent objective function, SAIL replaces the computation of KL-divergence by the incremental computation of Shannon entropy. This can avoid the zero-feature dilemma caused by the use of KL-divergence. To improve the clustering quality, we further introduce the variable neighborhood search scheme and propose the V-SAIL algorithm, which is then accelerated by a multithreaded scheme in PV-SAIL. Our experimental results on various real-world text collections have shown that, with SAIL as a booster, the clustering performance of Info-Kmeans can be significantly improved. Also, V-SAIL and PV-SAIL indeed help improve the clustering quality at a lower cost of computation.
Carley, S.; Youtie, J.; Solomon, G.; Porter, A.
The notion of a credibility map argues that everyone has a distinctive map that dictates the preference given to different types and sources of information. When seeking to influence other academic fields, scholars will likely turn to scientific and technical information though other types, such as policy reports, may also be relevant. We draw on the credibility mapping concept to understand how a major policy report is taken up by the target academic community. The report, How People Learn, was published by the US National Academies in 2000, to expose the education community (mainly educational researchers but also knowledge-seeking practitioners) to major cognitive science research findings of relevance to learning. We applied several search strings to measure the take up of this report in the target community. We used Google Scholar to evince that that How People Learn was cited in nearly 15,000 publications, these citations grew particularly steeply from 2000 to 2008, and most were in education-related journal papers. We performed a similar analysis using the Web of Science, which showed that most of the citations were substantial as opposed to perfunctory. (Author)
Describes ways and issues of recognizing skills learned in the workplace or through non-formal activities, as opposed to learning at formal educational and training institutions. Examines policies and practices carried out in five English-speaking countries.
Zheng, Wu; Blake, Catherine
Databases of curated biomedical knowledge, such as the protein-locations reflected in the UniProtKB database, provide an accurate and useful resource to researchers and decision makers. Our goal is to augment the manual efforts currently used to curate knowledge bases with automated approaches that leverage the increased availability of full-text scientific articles. This paper describes experiments that use distant supervised learning to identify protein subcellular localizations, which are important to understand protein function and to identify candidate drug targets. Experiments consider Swiss-Prot, the manually annotated subset of the UniProtKB protein knowledge base, and 43,000 full-text articles from the Journal of Biological Chemistry that contain just under 11.5 million sentences. The system achieves 0.81 precision and 0.49 recall at sentence level and an accuracy of 57% on held-out instances in a test set. Moreover, the approach identifies 8210 instances that are not in the UniProtKB knowledge base. Manual inspection of the 50 most likely relations showed that 41 (82%) were valid. These results have immediate benefit to researchers interested in protein function, and suggest that distant supervision should be explored to complement other manual data curation efforts. Copyright © 2015 Elsevier Inc. All rights reserved.
Full Text Available This study develops a model for essay scoring and article relevancy. Essay scoring is a costly process when we consider the time spent by an evaluator. It may lead to inequalities of the effort by various evaluators to apply the same evaluation criteria. Bibliometric research uses the evaluation criteria to find relevancy of articles instead. Researchers mostly face relevancy issues while searching articles. Therefore, they classify the articles manually. However, manual classification is burdensome due to time needed for evaluation. The proposed model performs automatic essay evaluation using multi-text features and ensemble machine learning. The proposed method is implemented in two data sets: a Kaggle short answer data set for essay scoring that includes four ranges of disciplines (Science, Biology, English, and English language Arts, and a bibliometric data set having IoT (Internet of Things and non-IoT classes. The efficacy of the model is measured against the Tandalla and AutoP approach using Cohen’s kappa. The model achieves kappa values of 0.80 and 0.83 for the first and second data sets, respectively. Kappa values show that the proposed model has better performance than those of earlier approaches.
Carey, Eileen; Griffiths, Colin
This paper reflects the impact of policy and legislation in the context of how adults with learning disabilities make choices. Following an overview of policies which have improved choice for people with learning disability in the United Kingdom, this paper reviews "choice" in current Irish policy and legislation. This paper, while…
Scheiter, Katharina; Schubert, Carina; Schüler, Anne
Background: When learning with text and pictures, learners often fail to adequately process the materials, which can be explained as a failure to self-regulate one's learning by choosing adequate cognitive learning processes. Eye movement modelling examples (EMME) showing how to process multimedia instruction have improved elementary school…
Stjernqvist, Nanna Wurr; Bruselius-Jensen, Maria; Høstgaard Bonde, Ane
enjoyed having a voice in school matters and to deal with real life during health education. Teachers were very positive towards the integration of school health policy work into teaching the curriculum in Danish, Maths and Biology. However, the transferring from the classroom to the organizational levels....... Methods The presented model works at two levels - the classroom and the organizational level – and is based on four phases, namely: Investigation – Vision – Action – Change, viewed as an iterative process. Pupil perspectives and learning is the basis in all four phases based on a set of health education...... was weakhindering sustainable health changes. Conclusion Findings indicate that integrating school policy processes into the teaching of curriculum might pave the way for schools to engage in health promotion. But further knowledge on how to likewise engage the staff on an organisational level is needed....
Buckley-Marudas, Mary Frances
Understanding what happens when teachers embrace digital media for literacy learning is critical to realizing the potential of learning in the digital era. This article examines some of the ways that a high school teacher and his students leverage digital technologies for literacy learning in their humanities classrooms. The author introduces the…
This report examines the past twenty years of energy market events and energy policies to determine what may be useful for the future. The author focuses on two important lessons that should have been learned but which the author feels have been seriously misunderstood. The first is that oil price shocks were a very big and very real problem for oil importing countries, a problem the has not gone away. The second is that automobile fuel economy regulation has worked and worked effectively to reduce oil consumption and the externalities associated with it, and can still work effectively in the future
Greene, D.L. [Oak Ridge National Lab., TN (United States). Center for Transportation Analysis
This report examines the past twenty years of energy market events and energy policies to determine what may be useful for the future. The author focuses on two important lessons that should have been learned but which the author feels have been seriously misunderstood. The first is that oil price shocks were a very big and very real problem for oil importing countries, a problem the has not gone away. The second is that automobile fuel economy regulation has worked and worked effectively to reduce oil consumption and the externalities associated with it, and can still work effectively in the future.
Salajan, Florin D.; Roumell, Elizabeth A.
This article records and documents the historical development of e-learning policies at EU level by conducting a discourse and content analysis of four key e-learning policy documents drafted and implemented by the European Commission over the past 20 years: "Learning in the Information Society: Action Plan for a European Education…
A key element to online learning is the ability to create a sense of presence to improve learning outcomes. This quasi-experimental study evaluated the impact of interactive video communication versus text-based feedback and found a significant difference between the 2 groups related to teaching, social, and cognitive presence. Recommendations to enhance presence should focus on providing timely feedback, interactive learning experiences, and opportunities for students to establish relationships with peers and faculty.
Zwaan, Bob van der; Rabl, Ari
This article examines the prospects for cost reductions of flat panel photovoltaic (PV) electricity. Current PV production cost ranges are presented, in terms of cost per peak W and cost per kWh, for single crystalline and multi-crystalline silicon, as well as for thin-film technologies. Possible decreases of these costs are assessed, as expected based on learning curves. The cumulative production needed to reach 'breakeven' (at which PV is competitive with conventional alternatives) is estimated for a range of values of the learning curve parameter. The cost of this cumulative production is calculated, and the question is posed whether and how the 'cost cap' can be bridged, the latter being the difference between what this cumulative production will cost and what it would cost if it could be produced at a currently competitive level. We also estimate how much PV could gain if external costs (due to environmental and health damage) of energy were internalised, for example by an energy tax. The conclusions are: (1) mainly due its high costs, PV electricity is unlikely to play a major role in global energy supply and carbon emissions abatement before 2020, (2) extrapolating past learning curves, one can expect its costs to decrease significantly, so that a considerable PV electricity share world-wide could materialise after 2020, (3) niche-market applications, e.g. using stand-alone systems in remote areas, are crucial for continuing 'the ride along the learning curve', (4) damage costs of conventional (fossil) power sources are considerable, and they could provide an important part of the rationale behind major policy efforts to encourage increased use of PV. The costs involved with such policies would be elevated, but a considerable share of these costs could be justified by the fact that conventional power damage costs constitute a significant fraction of the cost gap, although probably not enough to close it
Ollerenshaw, Alison; Aidman, Eugene; Kidd, Garry
This study examined comprehension in four groups of undergraduates under text only, multimedia, and two diagram conditions of text supplementation. Results indicated that effects of text supplementation are mediated by prior knowledge and learning style: multimedia appears more beneficial to surface learners with little prior knowledge and makes…
Clinton, Virginia; Morsanyi, Kinga; Alibali, Martha W.; Nathan, Mitchell J.
Learning from visual representations is enhanced when learners appropriately integrate corresponding visual and verbal information. This study examined the effects of two methods of promoting integration, color coding and labeling, on learning about probabilistic reasoning from a table and text. Undergraduate students (N = 98) were randomly…
Schuler, Anne; Scheiter, Katharina; van Genuchten, Erlijn
A lot of research has focused on the beneficial effects of using multimedia, that is, text and pictures, for learning. Theories of multimedia learning are based on Baddeley's working memory model (Baddeley 1999). Despite this theoretical foundation, there is only little research that aims at empirically testing whether and more importantly how…
Shepley, Collin; Lane, Justin D.; Gast, David L.
A multiple probe design across behaviors was used to evaluate the effectiveness of a SMART Board used in conjunction with teacher delivered constant time delay (CTD) to teach environmental text to three young students with disabilities and minimal group learning experience during small group direct instruction. Observational learning, instructive…
The aim of the study was to investigate differences in cognitive and metacognitive strategy use in the reading comprehension of narrative and expository texts among students with learning disabilities (SLD) and without learning disabilities (SWOLD). A total of 122 fifth and sixth graders took part in the study. Half of them (n = 61) were SLD…
Limaye, Rupali J; Ahmed, Naheed; Ohkubo, Saori; Ballard, Anne
To address unmet needs for family planning and advance women's rights, US federal foreign aid recipients must ensure compliance with the family planning legislative and policy requirements. Because many health providers work in rural and remote settings, blended learning, which combines in-person and online experiences, is a promising approach for strengthening their compliance knowledge. This cross-sectional study examined the effect of blended learning that included three components (online course, in-person training and conference call) on retention of family planning compliance knowledge. A total of 660 learners from 44 countries completed the online survey (8% response rate). Study participants were asked about their knowledge of family planning compliance and suggestions to improve their learning experiences. Knowledge retention was higher in the group that utilised all three learning approaches compared with the online course plus conference call group (Pblended learning training resulted in the highest gains in knowledge retention compared with online-only learning. These findings suggest that blended learning and repeat online trainings are critical to ensuring health professionals are aware of family planning compliance regulations. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Full Text Available The purpose of this experimental study was to compare the effects of different types of computer-generated visuals (static versus animated and advance organizers (descriptive versus question in enhancing comprehension and retention of a content-based lesson for learning English as a Foreign Language (EFL. Additionally, the study investigated the interactive effect of students’ existing reading proficiency level and the above-mentioned treatments on their reading comprehension achievement. Students from two EFL reading sections (N = 115 were tested on their reading proficiency and then randomly assigned to one of four computer-based instructional modules—static visual alone, animation alone, animation plus descriptive advance organizer, and animation plus question advance organizer. Once having interacted with their respective instructional materials, students then took four criterion tests immediately afterward and again four weeks later. The results showed that the animation group outperformed the static visual group in one of the four tests, and that animation embedded with a question advance organizer had a marginal effect among the four treatments in facilitating the acquisition of L2 reading comprehension both for the immediate and the delayed posttests.
European Union, 2015
Adult learning policies, like any other policies, need to be effective: they need to reach their objectives and attain the desired impacts, which should be carefully defined. Understanding the performance of policies allows policy makers to change and improve them. A growing body of research and statistics provides important insights into how…
Lohwasser, Richard; Madlener, Reinhard
Carbon capture and storage (CCS) has the potential to play a major role in the stabilization of anthropogenic greenhouse gases. To develop the capture technology from its current demonstration phase towards commercial maturity, significant funding is directed to CCS, such as the EU’s €4.5 bn NER300 fund. However, we know little about how this funding relates to market diffusion of CCS. This paper addresses that question. We initially review past learning effects from both capacity installations and R and D efforts for a similar technology using the concept of two-factor learning. We apply the obtained learning-by-doing and learning-by-searching rates to CCS in the electricity market model HECTOR, which simulates 19 European countries hourly until 2040, to understand the impact of learning and associated policies on CCS market diffusion. We evaluate the effectiveness of policies addressing learning-by-doing and learning-by-searching by relating the policy budget to the realized CCS capacity and find that, at lower policy cost, both methods are about equally effective. At higher spending levels, policies promoting learning-by-doing are more effective. Overall, policy effectiveness increases in low CO 2 price scenarios, but the CO 2 price still remains the key prerequisite for the economic competitiveness, even with major policy support. - Highlights: ► Identified two-factor learning rates for CCS through empirical data from flue gas desulphurization. ► Evaluated effectiveness of CCS stimulation policies addressing learning-by-doing and learning-by-researching. ► Both policy types are about equally effective with small policy budgets. ► Policies addressing learning-by-doing, e.g., subsidies to CCS projects, are more effective with large policy budgets. ► Analysis deployed HECTOR power market model that simulates 19 European countries on hourly granularity until 2040.
Full Text Available For at least a decade now, the University of Winnipeg (U of W, an urban institution on Treaty One land in the heart of the Métis Nation, has challenged existing academic models and practices, and has incorporated strategies that address the social divide between Indigenous and non-Indigenous peoples in order to more effectively serve the learning needs of its surrounding community. This article demonstrates how an inner-city university has used internal policies and programs to help support the self-determination of Indigenous peoples. Six community learning initiatives were recently evaluated for impact. This article will provide an overview of the positive outcomes of these learning initiatives on a community of underrepresented learners.
Ruddy, Thomas F.; Hilty, Lorenz M.
Governance for sustainable development requires policy coherence and Environmental Policy Integration, which are being hindered by difficulties coordinating the two separate impact assessment processes being conducted in the European Commission. One of them, the Commission-wide Impact Assessment process, looks primarily at EU-internal impacts, whereas the other one, Sustainability Impact Assessment (SIA) in DG Trade, looks outward to other countries and intergovernmental organizations. Ideally, the two processes should complement one another, especially as the two are set to continue being done in parallel. The paper uses a case study of the reform of the European sugar regime under a World Trade Organization ruling to demonstrate how the two impact assessment processes could better complement one another. Feedback from the experience had with existing trade agreements could then promote policy learning and inform the negotiations on new agreements. The number of new bilateral and Regional Trade Agreements is expected to continue rising, thus increasing the importance of the Commission-wide Impact Assessment process required for them
Erkens, Melanie; Bodemer, Daniel; Hoppe, H. Ulrich
Orchestrating collaborative learning in the classroom involves tasks such as forming learning groups with heterogeneous knowledge and making learners aware of the knowledge differences. However, gathering information on which the formation of appropriate groups and the creation of graphical knowledge representations can be based is very effortful…
Gopalakrishnan, Vishrawas; Jha, Kishlay; Xun, Guangxu; Ngo, Hung Q; Zhang, Aidong
The overwhelming amount of research articles in the domain of bio-medicine might cause important connections to remain unnoticed. Literature Based Discovery is a sub-field within biomedical text mining that peruses these articles to formulate high confident hypotheses on possible connections between medical concepts. Although many alternate methodologies have been proposed over the last decade, they still suffer from scalability issues. The primary reason, apart from the dense inter-connections between biological concepts, is the absence of information on the factors that lead to the edge-formation. In this work, we formulate this problem as a collaborative filtering task and leverage a relatively new concept of word-vectors to learn and mimic the implicit edge-formation process. Along with single-class classifier, we prune the search-space of redundant and irrelevant hypotheses to increase the efficiency of the system and at the same time maintaining and in some cases even boosting the overall accuracy. We show that our proposed framework is able to prune up to 90% of the hypotheses while still retaining high recall in top-K results. This level of efficiency enables the discovery algorithm to look for higher-order hypotheses, something that was infeasible until now. Furthermore, the generic formulation allows our approach to be agile to performboth open and closed discovery.We also experimentally validate that the core data-structures upon which the system bases its decision has a high concordance with the opinion of the experts.This coupled with the ability to understand the edge formation process provides us with interpretable results without any manual intervention. The relevant JAVA codes are available at: https://github.com/vishrawas/Medline-Code_v2. email@example.com@buffalo.edu. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email
Huang, Y-M.; Liu, C-J.; Shadiev, Rustam; Shen, M-H.; Hwang, W-Y.
One major drawback of previous research on speech-to-text recognition (STR) is that most findings showing the effectiveness of STR for learning were based upon subjective evidence. Very few studies have used eye-tracking techniques to investigate visual attention of students on STR-generated text. Furthermore, not much attention was paid to…
This study explored the relation between second-language (L2) readers' memory for causal relations and their learning outcomes from expository text. Japanese students of English as a foreign language (EFL) with high and low L2 reading proficiency read an expository text. They completed a causal question and a problem-solving test as measures of…
Greenleaf, Cynthia; Brown, Willard R.
This article describes how participants in the California Teacher Inquiry Network learn the art of making their invisible thinking processes visible, helping them see more clearly that they have internal resources to help students master similar kinds of thinking processes.
Chen, Yukun; Lasko, Thomas A; Mei, Qiaozhu; Denny, Joshua C; Xu, Hua
Named entity recognition (NER), a sequential labeling task, is one of the fundamental tasks for building clinical natural language processing (NLP) systems. Machine learning (ML) based approaches can achieve good performance, but they often require large amounts of annotated samples, which are expensive to build due to the requirement of domain experts in annotation. Active learning (AL), a sample selection approach integrated with supervised ML, aims to minimize the annotation cost while maximizing the performance of ML-based models. In this study, our goal was to develop and evaluate both existing and new AL methods for a clinical NER task to identify concepts of medical problems, treatments, and lab tests from the clinical notes. Using the annotated NER corpus from the 2010 i2b2/VA NLP challenge that contained 349 clinical documents with 20,423 unique sentences, we simulated AL experiments using a number of existing and novel algorithms in three different categories including uncertainty-based, diversity-based, and baseline sampling strategies. They were compared with the passive learning that uses random sampling. Learning curves that plot performance of the NER model against the estimated annotation cost (based on number of sentences or words in the training set) were generated to evaluate different active learning and the passive learning methods and the area under the learning curve (ALC) score was computed. Based on the learning curves of F-measure vs. number of sentences, uncertainty sampling algorithms outperformed all other methods in ALC. Most diversity-based methods also performed better than random sampling in ALC. To achieve an F-measure of 0.80, the best method based on uncertainty sampling could save 66% annotations in sentences, as compared to random sampling. For the learning curves of F-measure vs. number of words, uncertainty sampling methods again outperformed all other methods in ALC. To achieve 0.80 in F-measure, in comparison to random
Full Text Available Abstract Background Research and evidence can have an impact on policy and practice, resulting in positive outcomes. However, research translation is a complex, dynamic and non-linear process. Although universities in Africa play a major role in generating research evidence, their strategic approaches to influence health policies and decision making are weak. This study was conducted with the aim of understanding the process of translating research into policy in order to guide the strategic direction of Makerere University College of Health Sciences (MakCHS and similar institutions in their quest to influence health outcomes nationally and globally. Methods A case study approach using 30 in-depth interviews with stakeholders involved in two HIV prevention research project was purposively selected. The study sought to analyze the research-to-policy discourses for the prevention of mother-to-child transmission (PMTCT and safe male circumcision (SMC. The analysis sought to identify entry points, strengths and challenges for research-to-policy processes by interviewing three major groups of stakeholders in Uganda – researchers (8, policy makers (12 and media practitioners (12. Results Among the factors that facilitated PMTCT policy uptake and continued implementation were: shared platforms for learning and decision making among stakeholders, implementation pilots to assess feasibility of intervention, the emerging of agencies to undertake operations research and the high visibility of policy benefits to child survival. In contrast, SMC policy processes were stalled for over two years after the findings of the Uganda study was made public. Among other factors, policy makers demanded additional research to assess implementation feasibility of SMC within ordinary health system context. High level leaders also publicly contested the SMC evidence and the underlying values and messages – a situation that reduced the coalition of policy champions
With the advent and increasing popularity of Computer Supported Collaborative Learning (CSCL) and e-learning technologies, the need of automatic assessment and of teacher/tutor support for the two tightly intertwined activities of comprehension of reading materials and of collaboration among peers has grown significantly. In this context, a polyphonic model of discourse derived from Bakhtin’s work as a paradigm is used for analyzing both general texts and CSCL conversations in a unique framework focused on different facets of textual cohesion. As specificity of our analysis, the individual learning perspective is focused on the identification of reading strategies and on providing a multi-dimensional textual complexity model, whereas the collaborative learning dimension is centered on the evaluation of participants’ involvement, as well as on collaboration assessment. Our approach based on advanced Natural Language Processing techniques provides a qualitative estimation of the learning process and enhance...
Ciullo, Stephen; Falcomata, Terry S; Pfannenstiel, Kathleen; Billingsley, Glenna
Concept maps have been used to help students with learning disabilities (LD) improve literacy skills and content learning, predominantly in secondary school. However, despite increased access to classroom technology, no previous studies have examined the efficacy of computer-based concept maps to improve learning from informational text for students with LD in elementary school. In this study, we used a concurrent delayed multiple probe design to evaluate the interactive use of computer-based concept maps on content acquisition with science and social studies texts for Hispanic students with LD in Grades 4 and 5. Findings from this study suggest that students improved content knowledge during intervention relative to a traditional instruction baseline condition. Learning outcomes and social validity information are considered to inform recommendations for future research and the feasibility of classroom implementation. © The Author(s) 2014.
Universities have recently strengthened their class attendance policies along with associated practices that intensify the surveillance of learning: a series of administrative and pedagogic strategies that monitor the extent to which students conform with behavioural expectations associated with learning. Drawing on university policy statements,…
Steffensen, Jonny Trapp
argument advanced in this thesis is that policy learning is a multifaceted phenomenon that can most reliably be examined employing 'method pluralism' (documentary analysis, elite interviews, and survey techniques). A second theoretical assertion is that policy learning can change the beliefs - termed......This thesis examines the concept of 'policy learning' and explores its applicability to the European Commission's role in EU policymaking. Policy learning refers to 'knowledge-based' policy formulation, where content of policy proposals is shaped to a 'non-trivial' extent by administrative...... 'policy strategy' - of political actors. A third theoretical contribution is the concept of 'bureaucratic policy learning capability' (BPLC) which refers to an organisation's ability and inclination to utilise available policy-relevant knowledge. I assess the Commission's BPLC through a survey, designed...
Lin, Huifen; Chen, Tsuiping
The purpose of this experimental study was to compare the effects of different types of computer-generated visuals (static versus animated) and advance organizers (descriptive versus question) in enhancing comprehension and retention of a content-based lesson for learning English as a Foreign Language (EFL). Additionally, the study investigated…
For the past few decades, instructional materials enriched with multimedia elements have enjoyed increasing popularity. Multimedia-based instruction incorporating stimulating visuals, authentic audios, and interactive animated graphs of different kinds all provide additional and valuable opportunities for students to learn beyond what conventional…
Dilenschneider, Robert Francis
This study investigated three look-up conditions for language learners to learn unknown target words and comprehend a reading passage when their attention is transferred away to an on-line dictionary. The research questions focused on how each look-up condition impacted the recall and recognition of word forms, word meanings, and passage…
Alva-Manchego, Fernando; Bingel, Joachim; Paetzold, Gustavo H.
that generalization becomes difficult. End-to-end models also make it hard to interpret what is actually learned from data. We propose a method that decomposes the task of TS into its sub-problems. We devise a way to automatically identify operations in a parallel corpus and introduce a sequence-labeling approach...
van Rijk, Y.; Volman, M.; de Haan, D.; van Oers, B.
Sociocultural theories based on the work of Vygotsky have been increasingly influential in educational sciences. Developmental education (DE) is a pedagogical approach based on Vygotskian theory that has inspired primary schools in the Netherlands to change the learning environment innovatively in a
English, Leona M.; Irving, Catherine J.
This article provides a feminist poststructural analysis of the authors' academic labor during a State of the Field Literature Review of Gender and Adult Learning for a government-funded educational body. Drawing on Foucault and feminist theorists, the authors pay particular attention to how power seeps down through the system to our bodies in our…
Formen, Ali; Nuttall, Joce
In this paper we consider how particular discourses have come to dominate early childhood education (ECE) policy in Indonesia. We briefly explain the governance of Indonesian ECE and then our approach to policy analysis using critical discourse analysis. Three prevalent discourses are identified and discussed: "developmentalism",…
Sinha, Manjira; Basu, Anupam
In this work, we have investigated text readability in Bangla language. Text readability is an indicator of the suitability of a given document with respect to a target reader group. Therefore, text readability has huge impact on educational content preparation. The advances in the field of natural language processing have enabled the automatic…
Lancaster, Alexander L.
Based on Finn and Ledbetter's (2013; 2014) work regarding classroom technology policies, this experimental study examined the implementation of a permissive and a restrictive cellular phone policy and the effect of these policies on students' cognitive and affective learning in two sections of a public speaking course. College students (N = 31)…
Finn, Amber N.; Ledbetter, Andrew M.
In this study, we extend previous work on teacher technology policies by refining the teacher technology policies instrument to account for the technology purpose (social, academic) and type (cell phone, laptop/tablet), and examine a model of teacher technology policies and perceived learning. We found that students are more sensitive to policies…
Academic developers are important interpreters of policy, yet little research has focussed on the interplay of policy and academic development practice. Using methods from critical discourse analysis, this article analyses a national learning and teaching policy, charts its development, and explores its interpretation by the academic development…
Acree, Lauren; Fox, Christine
States are striving to support the expansion of technology tools and resources in K-12 education through state policies, programs, and funding in order to provide digital learning opportunities for all students. This paper highlights examples of states with policies in support of five key areas: (1) innovative funding streams and policy; (2)…
Tsuiping Chen; Huifen Lin
The purpose of this experimental study was to compare the effects of different types of computer-generated visuals (static versus animated) and advance organizers (descriptive versus question) in enhancing comprehension and retention of a content-based lesson for learning English as a Foreign Language (EFL). Additionally, the study investigated the interactive effect of students’ existing reading proficiency level and the above-mentioned treatments on their reading comprehension achievement. ...
Li, Jinna; Modares, Hamidreza; Chai, Tianyou; Lewis, Frank L; Xie, Lihua
This paper develops an off-policy reinforcement learning (RL) algorithm to solve optimal synchronization of multiagent systems. This is accomplished by using the framework of graphical games. In contrast to traditional control protocols, which require complete knowledge of agent dynamics, the proposed off-policy RL algorithm is a model-free approach, in that it solves the optimal synchronization problem without knowing any knowledge of the agent dynamics. A prescribed control policy, called behavior policy, is applied to each agent to generate and collect data for learning. An off-policy Bellman equation is derived for each agent to learn the value function for the policy under evaluation, called target policy, and find an improved policy, simultaneously. Actor and critic neural networks along with least-square approach are employed to approximate target control policies and value functions using the data generated by applying prescribed behavior policies. Finally, an off-policy RL algorithm is presented that is implemented in real time and gives the approximate optimal control policy for each agent using only measured data. It is shown that the optimal distributed policies found by the proposed algorithm satisfy the global Nash equilibrium and synchronize all agents to the leader. Simulation results illustrate the effectiveness of the proposed method.
Gerbier , Emilie; Bailly , Gérard; Bosse , Marie-Line
International audience; Reading while listening to texts (RWL) is a promising way to improve the learning benefits provided by a reading experience. In an exploratory study, we investigated the effect of synchronizing the highlighting of words (visual) with their auditory (speech) counterpart during a RWL task. Forty French children from 3rd to 5th grade read short stories in their native language while hearing the story spoken by a narrator. In the non-synchronized (S-) condition the text wa...
Kotani, Katsunori; Yoshimi, Takehiko; Isahara, Hitoshi
The present paper introduces and evaluates a readability measurement method designed for learners of EFL (English as a foreign language). The proposed readability measurement method (a regression model) estimates the text readability based on linguistic features, such as lexical, syntactic and discourse features. Text readability refers to the…
Hung, Jui-Long; Zhang, Ke
This study investigated the longitudinal trends of academic articles in Mobile Learning (ML) using text mining techniques. One hundred and nineteen (119) refereed journal articles and proceedings papers from the SCI/SSCI database were retrieved and analyzed. The taxonomies of ML publications were grouped into twelve clusters (topics) and four…
Çakmak, Fidel; Erçetin, Gülcan
This study investigates the effects of multimedia glosses on text recall and incidental vocabulary learning in a mobile-assisted L2 listening task. A total of 88 participants with a low level of proficiency in English were randomly assigned to one of four conditions that involved single channel (textual-only, pictorial-only) and dual-channel…
The purpose of this study was to investigate the effects of variations in text density levels and the cognitive style of field dependence on learning from a CBI tutorial, based on the dependent measures of achievement, reading comprehension, and reading rate, and of lesson completion time. Eighty college undergraduate students were randomly…
Full Text Available High performance computing on the Graphics Processing Unit (GPU is an emerging field driven by the promise of high computational power at a low cost. However, GPU programming is a non-trivial task and moreover architectural limitations raise the question of whether investing effort in this direction may be worthwhile. In this work, we use GPU programming to simulate a two-layer network of Integrate-and-Fire neurons with varying degrees of recurrent connectivity and investigate its ability to learn a simplified navigation task using a policy-gradient learning rule stemming from Reinforcement Learning. The purpose of this paper is twofold. First, we want to support the use of GPUs in the field of Computational Neuroscience. Second, using GPU computing power, we investigate the conditions under which the said architecture and learning rule demonstrate best performance. Our work indicates that networks featuring strong Mexican-Hat-shaped recurrent connections in the top layer, where decision making is governed by the formation of a stable activity bump in the neural population (a "non-democratic" mechanism, achieve mediocre learning results at best. In absence of recurrent connections, where all neurons "vote" independently ("democratic" for a decision via population vector readout, the task is generally learned better and more robustly. Our study would have been extremely difficult on a desktop computer without the use of GPU programming. We present the routines developed for this purpose and show that a speed improvement of 5x up to 42x is provided versus optimised Python code. The higher speed is achieved when we exploit the parallelism of the GPU in the search of learning parameters. This suggests that efficient GPU programming can significantly reduce the time needed for simulating networks of spiking neurons, particularly when multiple parameter configurations are investigated.
This information paper provides policy makers and managers, facing tough energy policy challenges, with a wider perspective of how the same issues are being addressed by different IEA member countries. The topics included are: Government structures for co-ordinating energy and climate policies; The use of long-term energy forecasts and scenarios; and Progress in the delivery of key energy security policies.
Full Text Available This study investigated the effects of captioned texts on second/foreign (L2 listening comprehension and vocabulary gains using a computer multimedia program. Additionally, it explored the caption ordering effect (i.e. captions displayed during the first or second listening, and the interaction of captioning order with the L2 proficiency level of language learners in listening comprehension and vocabulary performance. To these ends, a computer software program was designed and 200 EFL learners (100 high-intermediate and 100 low-intermediate level students were asked to participate in the experiment. They were randomly assigned into four groups: captioned (listening to texts twice with captions, noncaptioned (listening to texts twice without captions, first captioned (listening to texts first with captions and then without captions, and second captioned (listening to texts first without captions and then with captions groups. They listened to four audio texts (i.e. short stories twice and took the listening and vocabulary tests, administered through the software. Results from t-tests and two-way ANOVAs showed that the captioned stories were more effective than the non-captioned ones. Moreover, the caption ordering had no significant effect on the participants' L2 listening comprehension and vocabulary performance. Finally, L2 proficiency level differences did not affect performance derived from caption ordering.
Tanaka, M; Nakazono, S; Matsuno, H; Tsujimoto, H; Kitamura, Y; Miyano, S
We have implemented a system for assisting experts in selecting MEDLINE records for database construction purposes. This system has two specific features: The first is a learning mechanism which extracts characteristics in the abstracts of MEDLINE records of interest as patterns. These patterns reflect selection decisions by experts and are used for screening the records. The second is a keyword recommendation system which assists and supplements experts' knowledge in unexpected cases. Combined with a conventional keyword-based information retrieval system, this system may provide an efficient and comfortable environment for MEDLINE record selection by experts. Some computational experiments are provided to prove that this idea is useful.
This paper examines how young peoples' lived experiences with personal technologies can be used to teach engineering ethics in a way which facilitates greater engagement with the subject. Engineering ethics can be challenging to teach: as a form of practical ethics, it is framed around future workplace experience in a professional setting which students are assumed to have no prior experience of. Yet the current generations of engineering students, who have been described as 'digital natives', do however have immersive personal experience with digital technologies; and experiential learning theory describes how students learn ethics more successfully when they can draw on personal experience which give context and meaning to abstract theories. This paper reviews current teaching practices in engineering ethics; and examines young people's engagement with technologies including cell phones, social networking sites, digital music and computer games to identify social and ethical elements of these practices which have relevance for the engineering ethics curricula. From this analysis three case studies are developed to illustrate how facets of the use of these technologies can be drawn on to teach topics including group work and communication; risk and safety; and engineering as social experimentation. Means for bridging personal experience and professional ethics when teaching these cases are discussed. The paper contributes to research and curriculum development in engineering ethics education, and to wider education research about methods of teaching 'the net generation'.
Full Text Available Classification of the cyber texts and comments into two categories of positive and negative sentiment among social media users is of high importance in the research are related to text mining. In this research, we applied supervised classification methods to classify Persian texts based on sentiment in cyber space. The result of this research is in a form of a system that can decide whether a comment which is published in cyber space such as social networks is considered positive or negative. The comments that are published in Persian movie and movie review websites from 1392 to 1395 are considered as the data set for this research. A part of these data are considered as training and others are considered as testing data. Prior to implementing the algorithms, pre-processing activities such as tokenizing, removing stop words, and n-germs process were applied on the texts. Naïve Bayes, Neural Networks and support vector machine were used for text classification in this study. Out of sample tests showed that there is no evidence indicating that the accuracy of SVM approach is statistically higher than Naïve Bayes or that the accuracy of Naïve Bayes is not statistically higher than NN approach. However, the researchers can conclude that the accuracy of the classification using SVM approach is statistically higher than the accuracy of NN approach in 5% confidence level.
Full Text Available Abstract Background The majority of information in the biological literature resides in full text articles, instead of abstracts. Yet, abstracts remain the focus of many publicly available literature data mining tools. Most literature mining tools rely on pre-existing lexicons of biological names, often extracted from curated gene or protein databases. This is a limitation, because such databases have low coverage of the many name variants which are used to refer to biological entities in the literature. Results We present an approach to recognize named entities in full text. The approach collects high frequency terms in an article, and uses support vector machines (SVM to identify biological entity names. It is also computationally efficient and robust to noise commonly found in full text material. We use the method to create a protein name dictionary from a set of 80,528 full text articles. Only 8.3% of the names in this dictionary match SwissProt description lines. We assess the quality of the dictionary by studying its protein name recognition performance in full text. Conclusion This dictionary term lookup method compares favourably to other published methods, supporting the significance of our direct extraction approach. The method is strong in recognizing name variants not found in SwissProt.
Premadasa, H. K. Salinda; Meegama, R. G. N.
Short messaging service (SMS) is perhaps the most popular mobile technology prevalent among students in higher education due to its ubiquitous nature and the capability of two-way communication. However, a major limitation in two-way text messaging is sending back a part of received data with the reply message. This limitation results in users of…
Bull, Prince; McCormick, Carlos
This study investigated the use of text messaging as an educational tool in a pre-algebra course at a community college in the central region of North Carolina. The research was conducted in two pre-algebra classes with thirty-three students and one instructor. Data were gathered using qualitative and quantitative methods. A mixed method design…
Haug, Katrina N.; Klein, Perry D.
Previous research has shown that speech-to-text (STT) software can support students in producing a given piece of writing. This is the 1st study to investigate the use of STT to teach a writing strategy. We pretested 45 Grade 5 students on argument writing and trained them to use STT. Students participated in 4 lessons on an argument writing…
Ye, Li; Oueini, Razanne; Dickerson, Austin P.; Lewis, Scott E.
This study used a series of text message inquiries sent to General Chemistry students asking: "Have you studied for General Chemistry I in the past 48 hours? If so, how did you study?" This method for collecting data is novel to chemistry education research so the first research goals were to investigate the feasibility of the technique…
MOO stands for "Multi-user domain, Object-Oriented." Early multi-user domains, or "MUDs," began as net-based dungeons-and-dragons type games, but MOOs have evolved from these origins to become some of cyberspace's most fascinating and engaging online communities. MOOs are social environments in a text-based virtual reality…
This paper falls into two main sections: (1) an overview of contemporary research on effective professional learning for practicing educators; and (2) recommendations for action to promote effective learning for practicing educators. Three central questions guide the paper: (1) When does professional learning lead to improved learning outcomes for…
Full Text Available One of the problems in the field of English literature studies is that, with compartmentalization and specialization, it becomes introspective to the point where it devolves into the study of metafiction and metacriticism. At its heart, however, literature has to be about something: Thackeray claimed its subject is human nature, but human nature is based in the interface between human and nature. This paper explores some of the problems in the interface between human knowledge, institutions, and nature, and will offer an example of cross-disciplinary, historical study to illustrate a well-known but, to most modern readers, impenetrable medieval text, Chaucer’s Treatise on the Astrolabe. It ends with three recommendations: look to history, cross boundaries between academic fields, and use practical, as well as theoretical, teaching methods.
Mankowitz, Daniel J.; Žídek, Augustin; Barreto, André; Horgan, Dan; Hessel, Matteo; Quan, John; Oh, Junhyuk; van Hasselt, Hado; Silver, David; Schaul, Tom
Some real-world domains are best characterized as a single task, but for others this perspective is limiting. Instead, some tasks continually grow in complexity, in tandem with the agent's competence. In continual learning, also referred to as lifelong learning, there are no explicit task boundaries or curricula. As learning agents have become more powerful, continual learning remains one of the frontiers that has resisted quick progress. To test continual learning capabilities we consider a ...
Gross, M. Melissa; Wright, Mary C.; Anderson, Olivia S.
Research on the benefits of visual learning has relied primarily on lecture-based pedagogy, but the potential benefits of combining active learning strategies with visual and verbal materials on learning anatomy has not yet been explored. In this study, the differential effects of text-based and image-based active learning exercises on examination…
Manoonpong, Poramate; Kolodziejski, Christoph; Wörgötter, Florentin
Classical conditioning (conventionally modeled as correlation-based learning) and operant conditioning (conventionally modeled as reinforcement learning or reward-based learning) have been found in biological systems. Evidence shows that these two mechanisms strongly involve learning about...... associations. Based on these biological findings, we propose a new learning model to achieve successful control policies for artificial systems. This model combines correlation-based learning using input correlation learning (ICO learning) and reward-based learning using continuous actor–critic reinforcement...... learning (RL), thereby working as a dual learner system. The model performance is evaluated by simulations of a cart-pole system as a dynamic motion control problem and a mobile robot system as a goal-directed behavior control problem. Results show that the model can strongly improve pole balancing control...
Garfinkle, Noah W.; Selig, Lucas; Perkins, Timothy K.; Calfas, George W.
Increasing worldwide internet connectivity and access to sources of print and open social media has increased near realtime availability of textual information. Capabilities to structure and integrate textual data streams can contribute to more meaningful representations of operational environment factors (i.e., Political, Military, Economic, Social, Infrastructure, Information, Physical Environment, and Time [PMESII-PT]) and tactical civil considerations (i.e., Areas, Structures, Capabilities, Organizations, People and Events [ASCOPE]). However, relying upon human analysts to encode this information as it arrives quickly proves intractable. While human analysts possess an ability to comprehend context in unstructured text far beyond that of computers, automated geoparsing (the extraction of locations from unstructured text) can empower analysts to automate sifting through datasets for areas of interest. This research evaluates existing approaches to geoprocessing as well as initiating the research and development of locally-improved methods of tagging parts of text as possible locations, resolving possible locations into coordinates, and interfacing such results with human analysts. The objective of this ongoing research is to develop a more contextually-complete picture of an area of interest (AOI) including human-geographic context for events. In particular, our research is working to make improvements to geoparsing (i.e., the extraction of spatial context from documents), which requires development, integration, and validation of named-entity recognition (NER) tools, gazetteers, and entity-attribution. This paper provides an overview of NER models and methodologies as applied to geoparsing, explores several challenges encountered, presents preliminary results from the creation of a flexible geoparsing research pipeline, and introduces ongoing and future work with the intention of contributing to the efficient geocoding of information containing valuable
White, Kelsey D.; Heidrich, Emily
Most educators are aware that some students utilize web-based machine translators for foreign language assignments, however, little research has been done to determine how and why students utilize these programs, or what the implications are for language learning and teaching. In this mixed-methods study we utilized surveys, a translation task,…
Wren Jonathan D
Full Text Available Abstract Motivation The use or study of chemical compounds permeates almost every scientific field and in each of them, the amount of textual information is growing rapidly. There is a need to accurately identify chemical names within text for a number of informatics efforts such as database curation, report summarization, tagging of named entities and keywords, or the development/curation of reference databases. Results A first-order Markov Model (MM was evaluated for its ability to distinguish chemical names from words, yielding ~93% recall in recognizing chemical terms and ~99% precision in rejecting non-chemical terms on smaller test sets. However, because total false-positive events increase with the number of words analyzed, the scalability of name recognition was measured by processing 13.1 million MEDLINE records. The method yielded precision ranges from 54.7% to 100%, depending upon the cutoff score used, averaging 82.7% for approximately 1.05 million putative chemical terms extracted. Extracted chemical terms were analyzed to estimate the number of spelling variants per term, which correlated with the total number of times the chemical name appeared in MEDLINE. This variability in term construction was found to affect both information retrieval and term mapping when using PubMed and Ovid.
Stracke, Christian M.
Invited Speech at the Moscow International Education Fair 2016, Moscow, Russian Federation, by Stracke, C. M. (2016, 15 April): "Free Education for Open Learning: Open educational policies, strategies & access for all"
Shadiev, Rustam; Wu, Ting-Ting; Sun, Ai; Huang, Yueh-Min
In this study, 21 university students, who represented thirteen nationalities, participated in an online cross-cultural learning activity. The participants were engaged in interactions and exchanges carried out on Facebook® and Skype® platforms, and their multilingual communications were supported by speech-to-text recognition (STR) and…
Full Text Available Feed-in tariff (FiT policy approaches for renewable energy (RE deployment are employed in many nations around the world. Although FiTs are considered effective in boosting RE deployment, the issue of increasing energy bills and social burden is an often-reported negative impact of their use. The FiT has been employed in Japan since 2012, following after many developed countries, and, as was experienced in other nations, led to a social burden imparted on society significantly higher than initial government estimates. Although policy decision making does not necessarily reflect international policy experience, it is still prudent to ask how international policy experiences of social burden increase were considered within the Japanese approach. In this research, we analyzed the transfer process by adapting a conventional model to develop more objective observations than was previously possible, by setting a benchmark for evaluation based on prior international experiences. We identified two streams of policy transfer, each led by different actors; the government and representatives of the National Diet of Japan (Diet. Both actors were exposed to the same experiences, however the interpretation, application to policy development and priority settings employed were vastly different. Although the framework can only assess policy learning processes, we have found that the government undertook a reasonable and rational process toward learning, while, on the other hand, the modified bill developed by the Diet members did not thoroughly derive learnings in the same way, due to cognitive and political reasons, and specifically, the issue of limiting social burden was not addressed.
Richmond, Erica Kesin
From the onset of schooling, texts are used as important educational tools. In the primary years, they are integral to learning how to decode and develop fluency. In the later elementary years, they are often essential to the acquisition of academic content. Unfortunately, many children experience difficulties with this process, which is due in large part to their unfamiliarity with the genre of academic texts. The articles presented in this dissertation share an underlying theme of how to develop children's ability to comprehend and learn from academic, and specifically, non-narrative texts. The first article reviews research on the development of non-narrative discourse to elucidate the linguistic precursors to non-narrative text comprehension. The second and third articles draw from an empirical study that investigated the best way to integrate text, manipulation, and first-hand experience for children's acquisition and application of an abstract scientific principle. The scientific principle introduced in the study was the Control of Variables Strategy (CVS), a fundamental idea underlying scientific reasoning and a strategy for designing unconfounded experiments. Eight grade 4 classes participated in the study (N = 129), in one of three conditions: (a) read procedural text and manipulate experimental materials, (b) listen to procedural text and manipulate experimental materials, or (c) read procedural text with no opportunity to manipulate experimental materials. Findings from the study indicate that children who had the opportunity to read and manipulate materials were most effective at applying the strategy to designing and justifying unconfounded experiments, and evaluating written and physical experimental designs; however, there was no effect of instructional condition on a written assessment of evaluating familiar and unfamiliar experimental designs one week after the intervention. These results suggest that the acquisition and application of an abstract
Enhancing teacher learning is acknowledged globally as a key route to improving student outcomes, thereby contributing to nation states' economic competitiveness. This globally accepted policy "hypernarrative" is driving reform of teacher education policy internationally. This article seeks to analyse some key features of contemporary…
Hopfenbeck, Therese N.; Flórez Petour, María Teresa; Tolo, Astrid
This study investigates how different stakeholders in Norway experienced a government-initiated, large-scale policy implementation programme on "Assessment for Learning" ("AfL"). Data were collected through 58 interviews with stakeholders in charge of the policy; Ministers of Education and members of the Directorate of…
The purpose of this paper is to analyse the interplay between policy formulation and implementation in terms of the historical practices of open distance learning (ODL) in Rwanda. This paper draws on the Foucauldian genealogical and governmentality analysis. The paper examines government aspirations as depicted in policy statements starting from…
María Ángeles Martín del Pozo
Full Text Available The paper begins by approaching the concept of CLIL (Content and Language Integrated Learning providing a brief overview of the history of bilingual education. The influence of the linguistic policies of the European Union is discussed along with some beliefs about language teaching and how both have influenced the celerity of CLIL implementation, momentum and expansion. There are some indicators of the lack of a theoretical framework for CLIL, of insufficient teacher education and or inadequacy of materials. It is necessary to reflect systematically on to what extent commercially published textbooks match the demands of bilingual education. The second section centers on CLIL textbooks, mainly those commercialized by publishers, by referring to some recent studies which attempt to approach systematically their design and use. Since, by definition CLIL includes both content and language, our research question is if content books (in English also include content and language objectives. A corpus of 25 books from different subjects, years, and publishers is analyzed. The analysis shows an insufficient presence of linguistic objectives. Some reflections are made about this scarcity with the warning that this lack could hindrance an efficient implementation of CLIL. Thus, it could be said that these textbooks are not the product of discipline or didactic considerations but the result of the logic of market, publishers and linguistic policy.How to reference this articleMartín del Pozo, M. A., Rascón Estébanez, D. (2015. Textbooks for Content and Language Integrated Learning: policy, market and appropriate didactics?. Foro de Educación, 13(18, pp. 123-141. doi: http://dx.doi.org/10.14516/fde.2015.013.018.007
McCaughey, J.; Dewi, P. R.; Natawidjaja, D. H.; Sieh, K. E.
Science communication often falls short when it is based on the blank-slate assumption that if we can just get the message right, then the information will be received and understood as intended. In contrast, constructivist learning theory and practice suggest that we all actively construct our knowledge from a variety of information sources and through particular, novel associations with our prior knowledge. This constructed knowledge can be quite different from any of its original sources, such as a particular science communication. Successful communication requires carefully examining how people construct their knowledge of the topic of interest. Examples from our outreach work to connect hazard-science research with disaster-risk reduction practice in West Sumatra illustrate the mismatch between expert and stakeholder/public mental models of the characteristics of tsunamigenic earthquakes. There are incorrect conceptions that seawater always withdraws before a tsunami, and that a tsunami can be produced by an earthquake only if the epicenter is located at the ocean trench. These incorrect conceptions arise from generalizations based on recent, local earthquake experiences, as well as from unintended consequences of science outreach, science education, and, in one case, the way that tsunami modelling is graphically presented in scientific journals. We directly address these incorrect conceptions in our discussions with government officials and others; as a result, the local disaster-management agency has changed its policies to reflect an increased understanding of the hazard. This outreach success would not have been possible without eliciting the prior knowledge of our audiences through dialogue.
Simmie, Geraldine Mooney
This article offers an analysis of the rhetoric of education policy text during the timeframe from 2000 to 2012 in the Republic of Ireland. The study was framed within two different discourses of the role of the teacher: one discourse regards the teacher as a professional within a dynamic system of democratic relations (Anyon, 2011; Apple, 2012;…
Van der Zwaan, B.C.C.; Wene, C.O.
The book 'Learning Curves: Theory, Models, and Applications' first draws a learning map that shows where learning is involved within organizations, then examines how it can be sustained, perfected, and accelerated. The book reviews empirical findings in the literature in terms of different sources for learning and partial assessments of the steps that make up the actual learning process inside the learning curve. Chapter 23 on 'Developments in Interpreting Learning Curves and Applications to Energy Technology Policy' is written by Bob van der Zwaan and Clas-Otto Wene. In this chapter they provide some interpretations of experience and learning curves starting from three different theoretical platforms. These interpretations are aimed at explaining learning rates for different energy technologies. The ultimate purpose is to find the role that experience and learning curves can legitimately play in designing efficient government deployment programs and in analyzing the implications of different energy scenarios. The 'Component Learning' section summarizes recent work by the authors that focuses on the disaggregation of technologies in their respective components and argues that traditional learning for overall technology should perhaps be replaced by a phenomenology that recognizes learning for individual components. The 'Learning and Time' section presents an approach that departs more strongly from the conventional learning curve methodology, by suggesting that exponential growth and progress may be the deeper underlying processes behind observed learning-by-doing. Contrary to this view, the cybernetic approach presented in the 'Cybernetic Approach' section sees learning curves as expressing a fundamental property of organizations in competitive markets and applies the findings from second order cybernetics to calculate the learning rates for operationally closed systems. All three interpretations find empirical support. The 'Conclusions' section summarizes the
Van der Zwaan, B.C.C. [Energy research Centre of the Netherlands, ECN Policy Studies, Petten (Netherlands); Wene, C.O. [Wenergy, Lund (Sweden)
The book 'Learning Curves: Theory, Models, and Applications' first draws a learning map that shows where learning is involved within organizations, then examines how it can be sustained, perfected, and accelerated. The book reviews empirical findings in the literature in terms of different sources for learning and partial assessments of the steps that make up the actual learning process inside the learning curve. Chapter 23 on 'Developments in Interpreting Learning Curves and Applications to Energy Technology Policy' is written by Bob van der Zwaan and Clas-Otto Wene. In this chapter they provide some interpretations of experience and learning curves starting from three different theoretical platforms. These interpretations are aimed at explaining learning rates for different energy technologies. The ultimate purpose is to find the role that experience and learning curves can legitimately play in designing efficient government deployment programs and in analyzing the implications of different energy scenarios. The 'Component Learning' section summarizes recent work by the authors that focuses on the disaggregation of technologies in their respective components and argues that traditional learning for overall technology should perhaps be replaced by a phenomenology that recognizes learning for individual components. The 'Learning and Time' section presents an approach that departs more strongly from the conventional learning curve methodology, by suggesting that exponential growth and progress may be the deeper underlying processes behind observed learning-by-doing. Contrary to this view, the cybernetic approach presented in the 'Cybernetic Approach' section sees learning curves as expressing a fundamental property of organizations in competitive markets and applies the findings from second order cybernetics to calculate the learning rates for operationally closed systems. All three interpretations find empirical
Cecilia Titiek Murniati
Full Text Available Recent studies have suggested that teachers beliefs have a significant influence on actual classroom practice and, consequently, on students achievements. However, little research has been done to investigate the influence of Indonesian language policy and teachers beliefs. The study reported seeks to examine the influence of English language policy on pre-service teacher's beliefs about the teaching of English language grammar in Indonesian schools. The research participants were pre-service teachers who have taken the subjects of Structure, Teaching Methods, and Micro-teaching in three public and private universities in Central Java and Yogyakarta Special District. Due to time and scheduling limitations, the sampling method used in this study was convenient sampling. Documentation, survey schedules, interviews, focus group discussions were used to gather the data. The findings revealed that although the language policy in Indonesia has put English language teaching and learning within the framework of communicative competence since the enactment of the 2006 School-based Curriculum, the pre-service teachers still believed that traditional method of teaching grammar (explicit grammar instruction was imperative to use. The pre-service teachers tended to exclude English language policy enacted by Indonesian government in their discussion about teachers beliefs. Instead, the pre-service teachers constructed their beliefs about English language grammar teaching and learning process on their prior experiences in learning and teaching grammar.
This paper explores experiences at the interface of research and policy through the lens of informal learning. The paper contends that in order to further social justice it is essential to value the informal learning that takes place outside the confines of educational institutions. However, it also demonstrates the difficulties in getting…
Stracke, Christian M.
keynote on Open Learning at the International IEEE EDUCON Conference 2016: I will speak about “Open Learning for Smart Education: Open educational policies, strategies and access for all”. This year EDUCON is taking place from 10th to 13th of April 2016 in Abu Dhabi. My questions of the keynote
Watson, John; Pape, Larry; Murin, Amy; Gemin, Butch; Vashaw, Lauren
"Keeping Pace with K-12 Digital Learning" (2014) is the 11th in a series of annual reports that began in 2004 that examine the status of K-12 online education across the country. The report provides an overview of the latest policies, practices, and trends affecting online learning programs across all 50 states. It summarizes that at a…
The profound influence of globalization seems helping outshine the concept of "education" with the more flexible notion of "learning" in the education policies of major transnational organizations. With considerable differences in concepts, all of them are promoting "learning", more specifically LLL (lifelong…
This study examined and compared the legal inputs, structural settings and implementation process of lifelong learning policy in Thailand and Japan focusing on street-level agents. The findings demonstrated that while both countries had legal frameworks that provided a legislative platform to promote lifelong learning among the elderly based on a…
Jabareen-Taha, Samaher; Taha, Haitham
This article seeks to identify and review the basic characteristics of learning disability which are specifically mentioned in the literature. In addition, the article intends to conduct a brief analysis on learning disability policy in Israel and the differentiation problems at the level of awareness among the Arab society in Israel. Despite the…
Dreamson, Neal; Thomas, Gary; Lee Hong, Anita; Kim, Soyoung
Online learning has become a conventional term and practice in Australian higher education, yet cultural inclusivity for Indigenous (Indigenous for the purposes of this paper refers to Australian Aboriginal and Torres Strait Islander peoples) students is insufficiently reflected in learning management system (LMS) policies and design. This study…
Background Machine learning techniques may be an effective and efficient way to classify open-text reports on doctor’s activity for the purposes of quality assurance, safety, and continuing professional development. Objective The objective of the study was to evaluate the accuracy of machine learning algorithms trained to classify open-text reports of doctor performance and to assess the potential for classifications to identify significant differences in doctors’ professional performance in the United Kingdom. Methods We used 1636 open-text comments (34,283 words) relating to the performance of 548 doctors collected from a survey of clinicians’ colleagues using the General Medical Council Colleague Questionnaire (GMC-CQ). We coded 77.75% (1272/1636) of the comments into 5 global themes (innovation, interpersonal skills, popularity, professionalism, and respect) using a qualitative framework. We trained 8 machine learning algorithms to classify comments and assessed their performance using several training samples. We evaluated doctor performance using the GMC-CQ and compared scores between doctors with different classifications using t tests. Results Individual algorithm performance was high (range F score=.68 to .83). Interrater agreement between the algorithms and the human coder was highest for codes relating to “popular” (recall=.97), “innovator” (recall=.98), and “respected” (recall=.87) codes and was lower for the “interpersonal” (recall=.80) and “professional” (recall=.82) codes. A 10-fold cross-validation demonstrated similar performance in each analysis. When combined together into an ensemble of multiple algorithms, mean human-computer interrater agreement was .88. Comments that were classified as “respected,” “professional,” and “interpersonal” related to higher doctor scores on the GMC-CQ compared with comments that were not classified (P.05). Conclusions Machine learning algorithms can classify open-text feedback
Gibbons, Chris; Richards, Suzanne; Valderas, Jose Maria; Campbell, John
Machine learning techniques may be an effective and efficient way to classify open-text reports on doctor's activity for the purposes of quality assurance, safety, and continuing professional development. The objective of the study was to evaluate the accuracy of machine learning algorithms trained to classify open-text reports of doctor performance and to assess the potential for classifications to identify significant differences in doctors' professional performance in the United Kingdom. We used 1636 open-text comments (34,283 words) relating to the performance of 548 doctors collected from a survey of clinicians' colleagues using the General Medical Council Colleague Questionnaire (GMC-CQ). We coded 77.75% (1272/1636) of the comments into 5 global themes (innovation, interpersonal skills, popularity, professionalism, and respect) using a qualitative framework. We trained 8 machine learning algorithms to classify comments and assessed their performance using several training samples. We evaluated doctor performance using the GMC-CQ and compared scores between doctors with different classifications using t tests. Individual algorithm performance was high (range F score=.68 to .83). Interrater agreement between the algorithms and the human coder was highest for codes relating to "popular" (recall=.97), "innovator" (recall=.98), and "respected" (recall=.87) codes and was lower for the "interpersonal" (recall=.80) and "professional" (recall=.82) codes. A 10-fold cross-validation demonstrated similar performance in each analysis. When combined together into an ensemble of multiple algorithms, mean human-computer interrater agreement was .88. Comments that were classified as "respected," "professional," and "interpersonal" related to higher doctor scores on the GMC-CQ compared with comments that were not classified (P.05). Machine learning algorithms can classify open-text feedback of doctor performance into multiple themes derived by human raters with high
Spitters, H.P.E.M.; van de Goor, L.A.M.; Juel Lau, C.; Sandu, P.; Eklund Karlsson, L.; Jansen, J.; van Oers, J.A.M.
Since public health problems are complex and the related policies need to address a wide range of sectors, cross-sectoral collaboration is beneficial. One intervention focusing on stimulating collaboration is a 'policy game'. The focus on specific problems facilitates relationships between the
Document available in abstract form only. Full text of publication follows: Radioactive wastes are generated during operation as well as during the decontamination and dismantling of CEA's nuclear facility/installation. The safe and responsible management of radioactive wastes at all stages is an essential requirement of the regulatory system. The management covers the whole sequence of operations starting with the generation of waste and ending with its disposal. The disposal here means discarding of waste with no intention for retrieval. It is important to note here that the safety principles and practices that are applicable during the operational phase are also applicable during the decommissioning phase. As the radioactive waste arising is an inevitable outcome of decommissioning work, all the regulatory requirements associated with decommissioning remain in force in waste management. This presentation deals initially with the regulatory standards related to the management of wastes. As the management of radioactive wastes inevitably includes treatment and conditioning of wastes, following treatment and conditioning of wastes, storage, transportation and eventual disposal are the logical outcome of the radioactive wastes, processes are at any time improved based on the feedback experience and the lessons learned. (author)
Castelnuovo, E.; Galeotti, M.; Vergalli, S.; Gambarelli, G.
Many predictions and conclusions in the climate change literature have been made and drawn on the basis of theoretical analyses and quantitative models that assume exogenous technological change. One is naturally led to wonder whether those conclusions and policy prescriptions hold in the more realistic case of endogenously evolving technologies. In previous work we took a popular integrated assessment model and modified it so as to allow for an explicit role of the stock of knowledge which accumulates through R and D investment. In our formulation knowledge affects both the output production technology and the emission-output ratio. In this paper we make further progress in our efforts aimed to model the process of technological change. In keeping with recent theories of endogenous growth, we specify two ways in which knowledge accumulates: via a deliberate, optimally selected R and D decision or via experience, giving rise to Learning by Doing. As an illustration, we simulate the model under the two versions of endogenous technical change and look at the dynamics of a selected number of relevant variables, including growth rates of GDP and physical capital, as well as total emissions and rate of domestic abatement. Keywords: Climate Policy, Environmental Modeling, Integrated Assessment, Technical Change
Martin ZUMPE (GREThA UMR CNRS 5113)
This paper presents the literature about econometric learning and its impact on the performances of monetary policy rules in the framework of the new canonical macroeconomic model. Rational expectations which are a building block of the original model can thus be replaced by expectations based on estimation algorithms. The permanent updating of these estimations can be interpreted as a learning proces of the model’s agents. This learning proces induces additional dynamics into the model. The ...
Wei Qing-Lai; Song Rui-Zhuo; Xiao Wen-Dong; Sun Qiu-Ye
This paper estimates an off-policy integral reinforcement learning (IRL) algorithm to obtain the optimal tracking control of unknown chaotic systems. Off-policy IRL can learn the solution of the HJB equation from the system data generated by an arbitrary control. Moreover, off-policy IRL can be regarded as a direct learning method, which avoids the identification of system dynamics. In this paper, the performance index function is first given based on the system tracking error and control error. For solving the Hamilton–Jacobi–Bellman (HJB) equation, an off-policy IRL algorithm is proposed. It is proven that the iterative control makes the tracking error system asymptotically stable, and the iterative performance index function is convergent. Simulation study demonstrates the effectiveness of the developed tracking control method. (paper)
Hezri, A A
Formulation of effective sustainability indicators for national assessment demands a comprehensive understanding of the utilisation, diffusion and dissemination of information in policy processes. To illustrate the dynamic of sustainability assessment within the context of policy processes, this paper uses a case study of national sustainability indicators development in Malaysia. Subsequently, this paper ascribes the limited achievement of national sustainability assessment in Malaysia to four types of constraints: meta-policy issues; technical capacities; communication concerns; and the inherent knowledge gaps within the indicator developer community vis-a-vis their theoretical limitations. It is proposed that such constraints will be encountered in many countries. Drawing from the literature on public policy, this paper outlines a framework for investigating indicator behaviour within policy processes based on well-established concepts such as knowledge utilisation and policy learning. I conclude this paper by elaborating on the corresponding future challenges that must be addressed before effective integration of sustainability indicators within policy systems can occur.
Davies, Florence; Greene, Terry
This paper describes Directed Activities Related to Text (DART), procedures that were developed and are used in the Reading for Learning Project at the University of Nottingham (England) to enhance learning from texts and that fall into two broad categories: (1) text analysis procedures, which require students to engage in some form of analysis of…
Ryberg, Thomas; Sinclair, Christine
the books that include a selection of reworked and peer-reviewed papers from the conference. The 2014 Networked Learning Conference which was held in Edinburgh was characterised by animated dialogue on emergent influences affecting networked teaching and learning building on work established in earlier...
Jacobs, Jenn; Wright, Paul
There is a current push to broaden the educational agenda by integrating social and emotional learning (SEL) competencies into the academic curriculum. This article describes how physical education (PE) provides a strong platform for integrating SEL standards into the curriculum. The alignment between SEL and the affective learning objectives of…
van Dellen, Teije; Klercq, Jumbo; Buiskool, Bert-Jan
Lifelong learning has never been an integral part of the Dutch educational culture. Nevertheless, nowadays yearly many adults (about 17.8% in 2015) are after either or not finishing initial education in some respect emergently participating in (continuing) second, third or more learning paths
This publication is a supplementary chapter to "Fit, Healthy, and Ready to Learn: A School Health Policy Guide; Part I: General School Health Policies, Physical Activity, Healthy Eating, and Tobacco-Use Prevention." It discusses various aspects of a complete school policy and plan to promote sun safety. The first section "Purpose…
S. Moyson (Stéphane); P.W.A. Scholten (Peter); Weible, C.M. (Christopher M.)
textabstractAll politics and policy issues involve the accumulation of data about problems and solutions in context of social interactions. Drawing on these data, policy actors acquire, translate, and disseminate new information and knowledge toward achieving political endeavors and for revising or
The purpose of this thesis is to contribute to understanding what makes a policymaking system better at integrating sustainability concerns into its processes. Three questions are in focus. First, how can policy integration be understood analytically and what is its actual status in sector policy?
Nuclear waste policy in the United States has faded in large part because of public and state opposition to repository siting. However, that outcome was not inevitable. This paper argues that better policy design and greater attention to the crucial tasks of policy legitimation both by the U.S. Congress and by the Department of Energy might have significantly increased the chances for successful implementation. Even though the program now has a highly uncertain future, suggestions are offered for policy learning and change that may increase the probability of success
Chen Xiaoguang; Khanna, Madhu; Yeh, Sonia
This letter examines the effectiveness of various biofuel and climate policies in reducing future processing costs of cellulosic biofuels due to learning-by-doing. These policies include a biofuel production mandate alone and supplementing the biofuel mandate with other policies, namely a national low carbon fuel standard, a cellulosic biofuel production tax credit or a carbon price policy. We find that the binding biofuel targets considered here can reduce the unit processing cost of cellulosic ethanol by about 30% to 70% between 2015 and 2035 depending on the assumptions about learning rates and initial costs of biofuel production. The cost in 2035 is more sensitive to the speed with which learning occurs and less sensitive to uncertainty in the initial production cost. With learning rates of 5–10%, cellulosic biofuels will still be at least 40% more expensive than liquid fossil fuels in 2035. The addition of supplementary low carbon/tax credit policies to the mandate that enhance incentives for cellulosic biofuels can achieve similar reductions in these costs several years earlier than the mandate alone; the extent of these incentives differs across policies and different kinds of cellulosic biofuels. (letter)
Full Text Available When we think about current adult education in the context of the uneven and contradictory social and economic mpact of globalization, it necessarily implies thinking about the transfer from the paradigm of lifelong education to the paradigm of lifelong learning. We shall examine the essential quality involved in the social significance and the political dimension of each of these paradigms, because, since the post-war period, both became innovative educational policy strategies capable of mobilizing and transforming society. We would like to stress the importance of rethinking the role of adult education today in the light of the responsibilities shifting from the state to individuals, arising from the implications of this transition of paradigms: we do this by framing it in the context of the socio-productive restructuring movement, which speeded up the move from the so-called model of qualification, associated to social emancipation, to what is known as the model of competence (later competences, which is associated with individual empowerment. Therefore in this article we intend to question this new policy direction, which is associated with a conceptual and methodological shift in adult education practices, by using the prism of a critical sociology of education.
Critical Studies in Teaching and Learning is a peer-reviewed journal that publishes .... Data access and retention: Authors should ensure accessibility of raw data to other ... a manuscript, the author/s retain the rights to the published material.
Defrance, Nancy L.
Technology offers promise of 'leveling the playing field' for struggling readers. That is, instructional support features within digital texts may enable all readers to learn. This quasi-experimental study examined the effects on learning of two support features, which offered unique opportunities to interact with text. The Highlight & Animate Feature highlighted an important idea in prose, while simultaneously animating its representation in an adjacent graphic. It invited readers to integrate ideas depicted in graphics and prose, using each one to interpret the other. The Manipulable Graphics had parts that the reader could operate to discover relationships among phenomena. It invited readers to test or refine the ideas that they brought to, or gleaned from, the text. Use of these support features was compulsory. Twenty fifth grade struggling readers read a graphic-rich digital science text in a clinical interview setting, under one of two conditions: using either the Highlight & Animate Feature or the Manipulable Graphics. Participants in both conditions made statistically significant gains on a multiple choice measure of knowledge of the topic of the text. While there were no significant differences by condition in the amount of knowledge gained; there were significant differences in the quality of knowledge expressed. Transcripts revealed that understandings about light and vision, expressed by those who used the Highlight & Animate Feature, were more often conceptually and linguistically 'complete.' That is, their understandings included both a description of phenomena as well as an explanation of underlying scientific principles, which participants articulated using the vocabulary of the text. This finding may be attributed to the multiple opportunities to integrate graphics (depicting the behavior of phenomena) and prose (providing the scientific explanation of that phenomena), which characterized the Highlight & Animate Condition. Those who used the
indicators and monitoring systems are increasingly used, but what does the use of indicators mean for policymaking? The article exploits indicator theory and the evaluation research literature to develop an analytical framework so as to study the policy uses of indicators. The paper then provides...... system and partly to the lack of accountability mechanisms. The article concludes that the analytical framework and the concepts derived from evaluation research are useful starting points, but that further research should extend the analysis to other policy contexts (national or local) and broaden...
Full Text Available In recent years, pluvial floods caused by extreme rainfall events have occurred frequently. Especially in urban areas, they lead to serious damages and endanger the citizens’ safety. Therefore, real-time information about such events is desirable. With the increasing popularity of social media platforms, such as Twitter or Instagram, information provided by voluntary users becomes a valuable source for emergency response. Many applications have been built for disaster detection and flood mapping using crowdsourcing. Most of the applications so far have merely used keyword filtering or classical language processing methods to identify disaster relevant documents based on user generated texts. As the reliability of social media information is often under criticism, the precision of information retrieval plays a significant role for further analyses. Thus, in this paper, high quality eyewitnesses of rainfall and flooding events are retrieved from social media by applying deep learning approaches on user generated texts and photos. Subsequently, events are detected through spatiotemporal clustering and visualized together with these high quality eyewitnesses in a web map application. Analyses and case studies are conducted during flooding events in Paris, London and Berlin.
Pedersen, Kamilla; Moeller, Martin Holdgaard; Paltved, Charlotte; Mors, Ole; Ringsted, Charlotte; Morcke, Anne Mette
The aim of this study was to explore medical students' learning experiences from the didactic teaching formats using either text-based patient cases or video-based patient cases with similar content. The authors explored how the two different patient case formats influenced students' perceptions of psychiatric patients and students' reflections on meeting and communicating with psychiatric patients. The authors conducted group interviews with 30 medical students who volunteered to participate in interviews and applied inductive thematic content analysis to the transcribed interviews. Students taught with text-based patient cases emphasized excitement and drama towards the personal clinical narratives presented by the teachers during the course, but never referred to the patient cases. Authority and boundary setting were regarded as important in managing patients. Students taught with video-based patient cases, in contrast, often referred to the patient cases when highlighting new insights, including the importance of patient perspectives when communicating with patients. The format of patient cases included in teaching may have a substantial impact on students' patient-centeredness. Video-based patient cases are probably more effective than text-based patient cases in fostering patient-centered perspectives in medical students. Teachers sharing stories from their own clinical experiences stimulates both engagement and excitement, but may also provoke unintended stigma and influence an authoritative approach in medical students towards managing patients in clinical psychiatry.
Patrick, Susan; Gentz, Susan
There is a new state education policy concept termed either innovation zones or districts of innovation. State education agencies interested in shifting their role from enforcing compliance to one of supporting innovation and building capacity in districts are working to spur new innovative instructional models and create space for…
Leonard, Simon N.; Roberts, Philip
In this study, we seek to illuminate the effects of the global policy convergence in education through a close study of its enactment within an Australian Teacher Education course. Building on an examination of the changing priorities of a cohort of pre-service teachers over a short space of time, we argue that the enactment of New Public…
AIMING AT CALIFORNIA K-12 SCHOOL GUN POLICY by Catherine Wilson Jones March 2016 Thesis Co-Advisors: Kathleen Kiernan John Rollins...Master’s thesis 4. TITLE AND SUBTITLE ARMED TO LEARN: AIMING AT CALIFORNIA K-12 SCHOOL GUN POLICY 5. FUNDING NUMBERS 6. AUTHOR(S) Catherine...gap in viewpoints between gun control advocates who want tighter gun control and constitutionalists who believe as strongly in the Second Amendment
Mocanu, Decebal; Turkmen, Fatih; Liotta, Antonio
Protection of sensitive information in platforms such as the ones offered by smart cities requires careful enforcement of access control rules that denote " who can/cannot access to what under which circumstances ". In this paper, we propose our ongoing work on the development of a deep learning
Schneider, Carol Geary
Ensuring the quality of college learning is, beyond doubt, the most important responsibility of higher education accreditation. Yet, almost no one currently thinks that accreditation, especially at the institutional level, is what it should be for twenty-first-century students and institutions of higher education. In this article, the author…
Schwille, John; Dembele, Martial; Schubert, Jane
This booklet targets policymakers and educators with busy lives (especially those in developing countries) who may neither have the time nor the opportunity to read widely across all the issues raised herein. This publication looks at all forms of teacher learning, formal and informal, from teachers' own early schooling, through their training,…
Gross, M Melissa; Wright, Mary C; Anderson, Olivia S
Research on the benefits of visual learning has relied primarily on lecture-based pedagogy, but the potential benefits of combining active learning strategies with visual and verbal materials on learning anatomy has not yet been explored. In this study, the differential effects of text-based and image-based active learning exercises on examination performance were investigated in a functional anatomy course. Each class session was punctuated with an average of 12 text-based and image-based active learning exercises. Participation data from 231 students were compared with their examination performance on 262 questions associated with the in-class exercises. Students also rated the helpfulness and difficulty of the in-class exercises on a survey. Participation in the active learning exercises was positively correlated with examination performance (r = 0.63, P active learning exercises were helpful for seeing images of key ideas (94%) and clarifying key course concepts (80%), and that the image-based exercises were significantly less demanding, less hard and required less effort than text-based exercises (P active learning strategies on student learning, and suggest that integrating them may be especially beneficial for learning anatomy. Anat Sci Educ 10: 444-455. © 2017 American Association of Anatomists. © 2017 American Association of Anatomists.
In the voluminous literature on the European Union's open method of coordination (OMC), no one has hitherto analysed on the basis of scholarly examination the question of what contributes to the learning processes in the OMC committees. On the basis of a questionnaire sent to all participants, th......-qualified and engaged participants, and a neutral presidency should be present in order to act as an authoritative persuader....
I Ketut Sudarsana
Full Text Available The substances of the views of the some figures depicted in the Lifelong Learning Policies, Practices, And Programs, especially the ones found on Chapter 11 to 15 mostly describe the relation between the school education, families, and society. They are in accordance with the Indonesian Government Regulation No20/2003 on the national system of Indonesian education that regulate its informal, formal and nonformal sectors. The least attended nonformal one has actually equal charge, namely providing the best education to the society.
Rachel F. Brummel; Kristen C. Nelson; Pamela J. Jakes; Daniel R. Williams
Policies such as the US Healthy Forests Restoration Act (HFRA) mandate collaboration in planning to create benefits such as social learning and shared understanding among partners. However, some question the ability of top-down policy to foster successful local collaboration. Through in-depth interviews and document analysis, this paper investigates social learning and...
Bogomolova, Anna; Kolyuzhnov, Dmitri
-, č. 379 (2008), s. 1-34 ISSN 1211-3298 R&D Projects: GA MŠk LC542 Institutional research plan: CEZ:AV0Z70850503 Keywords : monetary policy rules * New Keynesian model * adaptive learning Subject RIV: AH - Economics http://www.cerge-ei.cz/pdf/wp/Wp379.pdf
Rodriguez, Alberto J.
This case study draws attention to Pedro's story, a Grade 6 Latino teacher who, along with other grade 4-6 teachers, participated in a three-year professional development research project. By using data analyzed from multiple ethnographic interviews with teachers and students, and by drawing from the quantitative analyzes of concept map unit tests, we illustrate how Pedro's significant professional growth and his students' learning were truncated by top-down school district policies. These policies were implemented because of the punitive nature of the No Child Left Behind Act. Simply put, this case study exposes the impact of opp(reg)ressive policies on learning, that is, policies simultaneously oppressive and regressive. The critical perspective of the project, and its emphasis on assisting teachers to make their pedagogy and curriculum more culturally and socially relevant, was informed by sociotransformative constructivism (sTc). This is a theoretical framework that affords equal importance to cross-cultural education (learning about and acting on socially/culturally relevant issues) and social constructivism (learning to critically produce and consume knowledge). We hope that this case study will provide additional insights into the slow progress we continue to make in science teacher professional development and in closing the achievement gap.
Panitsides, Eugenia A.; Anastasiadou, Sofia
The Lisbon European Summit in 2000 has been a milestone in reframing education policies to foster a "knowledge economy", whilst amid the challenges of the new decennium Lifelong Learning (LLL) has been propounded as a powerful lever for attaining "sustainable growth". The present article aims to elucidate the development of an…
This paper considers the educational experience constructed under Australia's policy decision in 2009 to extend compulsory education by requiring that students must be "earning or learning" till 17 years of age. The discussion draws on an empirical project that explored the moral order operating in classrooms for students retained under…
Kim, Kellie; Schiller, Ellen; Meinders, Dona; Nadkarni, Swati; Bull, Bruce; Crain, Danielle; Huennekens, Bill; O'Hara, Nancy; Thacker, Christopher
This white paper provides a snapshot of available policies and guidance related to online learning and students with disabilities from a small group of states that require online experience as part of high school graduation or report a higher number of online course enrollments. The Appendix allows for a quick scan of the following 12 elements…
ClassDojo is one of the world's most successful educational technologies, currently used by over 3 million teachers and 35 million children globally. It reinforces and enacts emerging governmental "psycho-policies" around the measurement and modification of children's social and emotional learning in schools. This article focuses…
Kim, Jeongyeon; Choi, Jinsook
This study examines how the English officialization policy of higher education in an EFL context interplays with administrative workers' motivational orientations towards English learning. The data consisted of questionnaire responses of 117 administrative members with undergraduate degrees and qualitative interviews with 9 who answered the…
The European Qualifications Framework (EQF) for lifelong learning has been characterized as a policy instrument with a number of contested ideas, raising questions about the process through which such instruments are developed at European level. The introduction of the EQF is in this article examined through variations of neo-institutional theory:…
Mississippi State Legislature, Jackson. Performance Evaluation and Expenditure Review Committee.
This report to the Mississippi Legislature presents the findings of a review of the cash management policies, procedures, and practices of the State Board of Trustees of Institutions of Higher Learning (IHL). The methodology involved review of: applicable Mississippi statutes; standards promulgated by the National Association of College and…
Burscher, B.; Vliegenthart, R.; de Vreese, C.H.
Content analysis of political communication usually covers large amounts of material and makes the study of dynamics in issue salience a costly enterprise. In this article, we present a supervised machine learning approach for the automatic coding of policy issues, which we apply to news articles
Welle-Strand, Anne; Thune, Taran
This article reports a pilot study on the uses of technology to enable learning within a formal educational setting in a higher education institution and within a corporation. These two Norwegian cases were selected due to their commitment to technology-enabled learning, as expressed in policy and strategy documents. The aim was to investigate the commitment and actual use of information and communications technology (ICT) for learning as well as what key actors think are the major challenges for successful large scale implementation of ICT for learning. The findings indicate that there is insufficient follow-up on e-learning policies and that there is a general lack of strategic direction and leadership in this area. The key challenges respondents highlight relate to the need for a systematic and pedagogical approach to e-learning in which three equally important considerations must be balanced: organization, pedagogy and technology. Key perspectives of a coherent pedagogical and organizational framework for planning e-learning are discussed.
Hung, Yu-Wan; Higgins, Steve
This study investigates the different learning opportunities enabled by text-based and video-based synchronous computer-mediated communication (SCMC) from an interactionist perspective. Six Chinese-speaking learners of English and six English-speaking learners of Chinese were paired up as tandem (reciprocal) learning dyads. Each dyad participated…
Hardeman, S.; Vertesy, D.
Excellence is arguably the single most important concept in academia today, especially when it comes to science policy making. At the same time, however, excellence leads to a great amount of discomfort, leading some to plea for an overall rejection of the concept. The discomfort with excellence reaches its heights whenever proposals are made for measuring it. Yet, especially given the period of professionalization science policy making finds itself in, these same metrics are frequently called upon to legitimate policy interventions. Excellence and its measurement, it seems therefore, is something we can neither life with nor without. This paper offers some middle ground in the debate on excellence and its measurement for science policy purposes. Using the case of the European Commission’s Research Excellence Indicator as an example, we show how the development and use of indicators offers an opportunity for learning in science policy making. Ultimately, therefore, we show how and in what ways measuring excellence can contribute to evidence-based science policy learning in practice. (Author)
Ferioli, F.; Schoots, K.; Zwaan, B.C.C. van der
In this paper, we investigate the use of learning curves for the description of observed cost reductions for a variety of energy technologies. Starting point of our analysis is the representation of energy processes and technologies as the sum of different components. While we recognize that in many cases 'learning-by-doing' may improve the overall costs or efficiency of a technology, we argue that so far insufficient attention has been devoted to study the effects of single component improvements that together may explain an aggregated form of learning. Indeed, for an entire technology the phenomenon of learning-by-doing may well result from learning of one or a few individual components only. We analyze under what conditions it is possible to combine learning curves for single components to derive one comprehensive learning curve for the total product. The possibility that for certain technologies some components (e.g., the primary natural resources that serve as essential input) do not exhibit cost improvements might account for the apparent time dependence of learning rates reported in several studies (the learning rate might also change considerably over time depending on the data set considered, a crucial issue to be aware of when one uses the learning curve methodology). Such an explanation may have important consequences for the extent to which learning curves can be extrapolated into the future. This argumentation suggests that cost reductions may not continue indefinitely and that well-behaved learning curves do not necessarily exist for every product or technology. In addition, even for diffusing and maturing technologies that display clear learning effects, market and resource constraints can eventually significantly reduce the scope for further improvements in their fabrication or use. It appears likely that some technologies, such as wind turbines and photovoltaic cells, are significantly more amenable than others to industry-wide learning. For such
This article traces the EC vocational training policy historically and describes the discursive alignments which brought the policy from a "common vocational training policy" as laid down in Article 128, in the Treaty of Rome to the Lisbon Lifelong Learning strategy. The argument is that vocational training has served as a lever for the…
Alison Mead Richardson
Full Text Available This paper reports on a longitudinal, ethnomethodological case study of the development towards flexible delivery of the Botswana Technical Education Programme (BTEP, offered by Francistown College of Technical & Vocational Education (FCTVE. Data collection methods included documentary analysis, naturalistic participant observation, and semi-structured interviews. The author identifies and analyses the technical, staffing, and cultural barriers to change when introducing technology-enhanced, flexible delivery methods. The study recommends that strategies to advance flexible learning should focus on the following goals: establish flexible policy and administration systems, change how staff utilization is calculated when flexible learning methodologies are used, embed flexible delivery in individual performance development and department/college strategic plans, ensure managerial leadership, hire and support permanent specialists, identify champions and share success stories, and address issues of inflexible organisational culture. This study may be of value in developing countries where mass-based models are sought to expand access to vocational education and training.
Learning Disabilities: A Multidisciplinary Journal, 2012
The National Joint Committee on Learning Disabilities (NJCLD) affirms that the construct of learning disabilities represents a valid, unique, and heterogeneous group of disorders, and that recognition of this construct is essential for sound policy and practice. An extensive body of scientific research on learning disabilities continues to support…
Full Text Available The following paper will investigate the acquisition of Macedonian languages in public schools and universities, focusing on the Albanian and Macedonian languages. As the saying goes: "The more languages you speak, the more human you are". Abiding by this proverb, the citizens of the Republic of Macedonia should be encouraged to become multilingual by learning the national languages. The acquisition of the national languages in a multilingual, multiethnic and multicultural country like Macedonia is, in my opinion, a necessary step toward the establishment of smooth and peaceful communication between the country's two largest cultural groups (Macedonians and Albanians, and is therefore also a prerequisite for the successful integration of every citizen into their home country's society. This paper also investigates Switzerland's multilingual and multicultural society, which serves as a successful and positive example of how a nation can deal with a multilingual population and the integration of its population. With this in mind, the question is raised here whether the model of Switzerland's language policy and national language instruction can perhaps also serve as an example for the Republic of Macedonia.
Full Text Available The flourish of ICT and complexity of today‘s social-cultural and technological issues entails a strong need for a change in education. Today‘s education should be more directed outward by observing what happens in the society instead of just inward by indoctrinating certain perspectives and memorizing facts. Thus, it is not classroomcentred education anymore, but it is now becoming society-centred and being the miniature of society. Today‘s classrooms are expected to facilitate broader and various learning process, dynamic mental process and provide autonomy and creativity for students to construct their own knowledge by observing, sensing and learning from society. Through this process, students can see society as place and source of learning. Learning from society can also trigger social learning. Together, the aspect of observing issues emerging in society and being able to accommodate various perspectives in jointlearning lay the foundation for creating socio-affective conscious learners. This study aims to explore how and what the students can learn by observing, thinking, feeling and proposing problem solving for social, cultural and technological issues in joint-learning and what challenges they encounter during their learning process. The data is grounded on students‘ reflective notes and the result of collaborated problem solving in groups in language classroom. The data shows that the students learn some constellations of socioaffective learning aspects. Those are the exercises of multiple sensory, social learning (awareness, coordination, affinity, sharing, respect, communication, emotional learning (regulation, awareness, positive emotional contagion in group, adaptive. Their sensory, social and affective learning are enhanced by ICT.
Social learning is a prerequisite for sustainable energy use. This paper sets out some considerations from learning theory that offer a useful way of looking at domestic energy awareness and at actions to improve energy efficiency and conserve energy. Findings from a survey of residents of an English village that had won an 'energy-conscious village' competition are used to illustrate how individual and social learning can occur over a period of time, and how a 'top down' initiative may relate to other more informal sources of motivation and information. A model of learning about domestic energy use that incorporates awareness, action and feedback is proposed, and the implications for policy and further research are discussed
A two-part study examined the effectiveness of glossing (writing comments or questions in text to improve comprehension) when students use it in social studies texts in combination with discussions and other activities. Students were divided into two groups, one of which learned glossing while the other engaged in assigned workbook activities.…
Full Text Available This study examines the efficacy of a multimodal online bilingual dictionary based on cognitive linguistics in order to explore the advantages and limitations of explicit multimodal L2 vocabulary learning. Previous studies have examined the efficacy of the verbal and visual representation of words while reading L2 texts, concluding that it facilitates incidental word retention. This study explores other potentials of multimodal L2 vocabulary learning: explicit learning with a multimodal dictionary could enhance not only word retention, but also text comprehension; the dictionary could serve not only as a reference tool, but also as a learning tool; and technology-enhanced visual glosses could facilitate deeper text comprehension. To verify these claims, this study investigates the multimodal representations’ effects on Japanese students learning L2 locative prepositions by developing two online dictionaries, one with static pictures and one with animations. The findings show the advantage of such dictionaries in explicit learning; however, no significant differences are found between the two types of visual glosses, either in the vocabulary or in the listening tests. This study confirms the effectiveness of multimodal L2 materials, but also emphasizes the need for further research into making the technologically enhanced materials more effective.
Lange, A. [Univ. of Maryland (United States); Treich, N. [Univ. of Toulouse (France)
Climate policy decisions today have to be made under substantial uncertainty: the impact of accumulating greenhouse gases in the atmosphere is not perfectly known, the future economic and social consequences of climate change, in particular the valuation of possible damages, are uncertain. However, learning will change the basis of making future decisions on abatement policies. These important issues of uncertainty and learning are often presented in a colloquial sense. Two opposing effects are typically put forward: First, uncertainty about future climate damage, which is often associated with the possibility of a catastrophic scenario is said to give a premium to slow down global warming and therefore to increase abatement efforts today. Second learning opportunities will reduce scientific undertainty about climate damage over time. This is often used as an argument to postpone abatement efforts until new information is received. The effects of uncertainty and learning on the optimal design of current climate policy are still much debated both in the academic and the political arena. In this paper, the authors study and contrast the effect of uncertainty and learning in a two-decision model that encompasses most existing microeconomics models of climate change. They first consider the common expected utility framework: While uncertainty has generally no or a negative effect on welfare, learning has always a positive, and thus opposite, effect. The effects of both uncertainty and learning on decisions are less clear. Neither uncertainty nor learning can be used as an argument to increase or reduce emissions today, independently on the degree of risk aversion of the decision-marker and on the nature of irreversibility constraints. The authors then deviate from the expected utility framework and consider a model with ambiguity aversion. The model accounts well for situations of imprecise or multiple probability distributions, as present in the context of climate
Kverndokk, Snorre; Rosendahl, Knut Einar
We study the role of technology subsidies in climate policies, using a simple dynamic equilibrium model with learning by doing. The optimal subsidy rate of a carbon-free technology is high when the technology is first adopted, but falls significantly over the next decades. However, the efficiency costs of uniform instead of optimal subsidies, may be low if there are adjustment costs for a new technology. Finally, supporting existing energy technologies only, may lead to technology lock-in, and the impacts of lock-in increase with the learning potential of new technologies as well as the possibilities for early entry. (author)
Calvin Frans Mariel, Wahyu; Mariyah, Siti; Pramana, Setia
Deep learning is a new era of machine learning techniques that essentially imitate the structure and function of the human brain. It is a development of deeper Artificial Neural Network (ANN) that uses more than one hidden layer. Deep Learning Neural Network has a great ability on recognizing patterns from various data types such as picture, audio, text, and many more. In this paper, the authors tries to measure that algorithm’s ability by applying it into the text classification. The classification task herein is done by considering the content of sentiment in a text which is also called as sentiment analysis. By using several combinations of text preprocessing and feature extraction techniques, we aim to compare the precise modelling results of Deep Learning Neural Network with the other two commonly used algorithms, the Naϊve Bayes and Support Vector Machine (SVM). This algorithm comparison uses Indonesian text data with balanced and unbalanced sentiment composition. Based on the experimental simulation, Deep Learning Neural Network clearly outperforms the Naϊve Bayes and SVM and offers a better F-1 Score while for the best feature extraction technique which improves that modelling result is Bigram.
Slini, T.; Giama, E.; Papadopoulou, Ch.-O.
The efficient training of young environmental scientists has proven to be a challenging goal over the last years, while several dynamic initiatives have been developed aiming to provide complete and consistent education. A successful example is the e-learning course for participants mainly coming from emerging economy countries 'Development of mitigation/adaptation policy portfolios' organised in the frame of the project Promitheas4: Knowledge transfer and research needs for preparing mitigation/adaptation policy portfolios, aiming to provide knowledge transfer, enhance new skills and competencies, using modern didactic approaches and learning technologies. The present paper addresses the experience and the results of these actions, which seem promising and encouraging and were broadly welcomed by the participants.
LL.M. (Labour Law) A university is a community of adults in which close personal relationships between adults can develop. These institutions of higher learning recognise the need for policies prohibiting sexual harassment but few have addressed the subtle issues surrounding consensual and special amorous relationships between academic staff members and students and whether they have the right to regulate private behaviour between adults. The aim of this minor dissertation is to explore th...
Peng, Baolin; Li, Xiujun; Gao, Jianfeng; Liu, Jingjing; Chen, Yun-Nung; Wong, Kam-Fai
This paper presents a new method --- adversarial advantage actor-critic (Adversarial A2C), which significantly improves the efficiency of dialogue policy learning in task-completion dialogue systems. Inspired by generative adversarial networks (GAN), we train a discriminator to differentiate responses/actions generated by dialogue agents from responses/actions by experts. Then, we incorporate the discriminator as another critic into the advantage actor-critic (A2C) framework, to encourage the...
Full Text Available Este artículo evalúa hasta qué punto los mecanismos de aprendizaje de la política de Cohesión europea han contribuido a mejorar el impacto económico de los Fondos Estructurales. El objetivo es ver si los cambios introducidos en la política en respuesta a la evaluación interna y a las críticas externas han dado lugar a una política mejor y más eficaz. Para ello se utiliza un método econométrico que evalúa el efecto de los Fondos Estructurales sobre el crecimiento regional del PIB per cápita -condicionado por la dotación de los factores, la calidad de las instituciones y las condiciones iniciales de cada región- durante los dos últimos periodos de programación para los que existen datos completos (1994-1999 y 2000-2006. Los resultados del análisis indican una mejora de la eficacia de la política en el segundo periodo de programación. Esta asociación positiva es robusta a la introducción de controles ligados al nivel de desarrollo del país y de la posición de cada una de las regiones en el interior del país. Los resultados muestran también que, cuando se tienen en cuenta factores estructurales, la inversión en Fondos Estructurales obtiene mejores rendimientos en países con niveles de riqueza más altos y en las regiones más ricas en el interior de cada país.
Brody, Samuel D; Zahran, Sammy; Highfield, Wesley E; Bernhardt, Sarah P; Vedlitz, Arnold
Floods continue to inflict the most damage upon human communities among all natural hazards in the United States. Because localized flooding tends to be spatially repetitive over time, local decisionmakers often have an opportunity to learn from previous events and make proactive policy adjustments to reduce the adverse effects of a subsequent storm. Despite the importance of understanding the degree to which local jurisdictions learn from flood risks and under what circumstances, little if any empirical, longitudinal research has been conducted along these lines. This article addresses the research gap by examining the change in local flood mitigation policies in Florida from 1999 to 2005. We track 18 different mitigation activities organized into four series of activities under the Federal Emergency Management Agency's (FEMA) Community Rating System (CRS) for every local jurisdiction in Florida participating in the FEMA program on a yearly time step. We then identify the major factors contributing to policy changes based on CRS scores over the seven-year study period. Using multivariate statistical models to analyze both natural and social science data, we isolate the effects of several variables categorized into the following groups: hydrologic conditions, flood disaster history, socioeconomic and human capital controls. Results indicate that local jurisdictions do in fact learn from histories of flood risk and this process is expedited under specific conditions.
Altenburg, Tilman; Engelmeier, Tobias
In order to avoid irreversible damage to global ecosystems, new ‘green’ technologies are needed, some of which are nowhere near commercial maturity. In these cases, governments may create temporary rents to make investments ‘artificially’ attractive, but the creation of such rents involves risks of faulty allocation and political capture. This article first highlights the importance of managing rents effectively in promoting ‘green’ technologies; it then shows how India's National Solar Mission has been remarkably effective in triggering solar investments and managing the necessary subsidies, e.g. through a process of competitive reverse bidding for tariffs. Policy design and implementation also reflect considerable experimentation and learning. Some risks remain, especially regarding the enforceability of renewable energy quotas at the level of Indian states. - Highlights: • India's National Solar Mission effectively triggered solar investments. • Reverse bidding substantially decreased policy costs. • Sequenced implementation allowed for policy learning. • India's solar policy is a good example of green rent management
Milana, Marcella; Rasmussen, Palle; Holford, John
The idea of "sustainability" as a core value has slowly permeated policy and practice at governmental and institutional levels, in public and private policy. However, at times when social and economic crises have revealed the fragility of existing institutions and policies, it is important to consider how sustainability is - and could be - integrated into educational policies. In this theoretical contribution to a special issue on "Societal sustainability", the authors draw on available literature and knowledge. They begin their paper by summarising the conditions under which the concept of "sustainability" entered political discourse in the early 1970s and outline how it has influenced educational research. They then introduce the longstanding debate about the relative role of tradition (in terms of traditional cultural and social order) and change (in terms of efforts to provide learning opportunities for everyone) in adult education. Finally, they argue for a rethinking of the ontology of sustainability: this, they suggest, can shed new light on its relationships with adult education and learning and social justice.
Milana, Marcella; Rasmussen, Palle Damkjær; Holford, John
The idea of “sustainability” as a core value has slowly permeated policy and practice at governmental and institutional levels, in public and private policy. However, at times when social and economic crises have revealed the fragility of existing institutions and policies, it is important to con...... opportunities for everyone) in adult education. Finally, they argue for a rethinking of the ontology of sustainability: this, they suggest, can shed new light on its relationships with adult education and learning and social Justice....... to consider how sustainability is – and could be – integrated into educational policies. In this theoretical contribution to a special issue on “Societal sustainability”, the authors draw on available literature and knowledge. They begin their paper by summarising the conditions under which the concept...... of “sustainability” entered political discourse in the early 1970s and outline how it has influenced educational research. They then introduce the longstanding debate about the relative role of tradition (in terms of traditional cultural and social order) and change (in terms of efforts to provide learning...
Full Text Available Keywords Policy Reuse · Reinforcement Learning · Online Learning · Online Bandits · Transfer Learning · Bayesian Optimisation · Bayesian Decision Theory. 1 Introduction As robots and software agents are becoming more ubiquitous in many applications.... The agent has access to a library of policies (pi1, pi2 and pi3), and has previously experienced a set of task instances (τ1, τ2, τ3, τ4), as well as samples of the utilities of the library policies on these instances (the black dots indicate the means...
Kuznekoff, Jeffrey H.; Munz, Stevie; Titsworth, Scott
This study examined mobile phone use in the classroom by using an experimental design to study how message content (related or unrelated to class lecture) and message creation (responding to or creating a message) impact student learning. Participants in eight experimental groups and a control group watched a video lecture, took notes, and…
This book advances an alternative reading of the social, political and cultural issues surrounding schools and technology and develops a comprehensive overview of the interplay between policy, practice and identity in school workplaces. It explores how digital technologies have become an integral element of the politics and socially negotiated…
Krishna Prasad K
This book contains research articles related to Mobile Wireless Communication Technologies 4G and 5G Technologies. This book also contains applications of 4G and 5G Technologies in Online Banking and Online Learning. These papers published already in peer-reviewed International Journals. This Book has written with an intention to get all papers together under one roof, which will benefit all the researchers of related areas.
The term "cooperative and mutual enterprises" (CMEs) was developed in 1999 by a mutuality task force in Oxfordshire, England, as a modern way of reasserting the notion of the adult education movement as a cooperative movement for social (democratic) inclusion. CMEs recall the tradition of learning through clubs, unions, mechanics'…
Background: The term "intellectual disability" is increasingly used to refer to people with learning disabilities in British learning disability policy, practice and research. This change is undoubtedly a reflection of the changing international context. The inclusion of the term "intellectual disability" has been particularly…
Cavaco, C.; Lafont, P.; Pariat, M.
This article analyses the influence of the European Union's educational policies on the implementation of devices for the recognition and the validation of informal and non-formal learning within public policies on education and training for adults in European Union Member States. Portugal and France are taken as examples. The European Union's…
Innovation policy involves using policy instruments to achieve societal goals. In order to learn from both past and foreign experiences, scholars and practitioners very often value sources of knowledge about these instruments. This dissertation deals with the role of Strategic Intelligence in both
Mesmer, Heidi Anne; Cunningham, James W.; Hiebert, Elfrieda H.
In this conceptual essay, we offer rationales and evidence for critical components of a working model of text complexity for the early grades. In the first three sections of the article, we examine word-level, syntax-level, and discourse-level features of text, posing questions for future research. In the fourth section, we address elements of…
Baadte, Christiane; Rasch, Thorsten; Honstein, Helena
The ability to flexibly allocate attention to goal-relevant information is pivotal for the completion of high-level cognitive processes. For instance, in comprehending illustrated texts, the reader permanently has to switch the attentional focus between the text and the corresponding picture in order to extract relevant information from both…
Haghani, Nader; Kiani, Samira
The concept of text-oriented vocabulary exercises is based on Kühn's (2000) three-step model of vocabulary teaching--receptive, reflective and productive vocabulary exercises--which focuses on working with texts. Since the production is in principle more exhausting than the reception--as can be seen from the Levels of Processing Effect--one can…
This study examines the efficacy of a multimodal online bilingual dictionary based on cognitive linguistics in order to explore the advantages and limitations of explicit multimodal L2 vocabulary learning. Previous studies have examined the efficacy of the verbal and visual representation of words while reading L2 texts, concluding that it…
Bernard, Michael E.
This study, presented in three parts, investigated the effects of a group of single-concept instructional variables on the learning at an advanced level of attainment of taxonomy of behavior management concepts. The effects of presenting advance organizers and inserting within-text questions was also examined. The influence of the single-concept…
Stagliano, Christina; Boon, Richard T.
The purpose of this study was to examine the effects of using a story-mapping procedure to improve and enhance the reading comprehension skills using expository text passages for 3 fourth-grade students with learning disabilities (LD). The study was conducted in the resource classroom in which the participants regularly received reading…
Watson, John; Murin, Amy; Vashaw, Lauren; Gemin, Butch; Rapp, Chris
"Keeping Pace with K-12 Online & Blended Learning" (2013), the 10th in a series of annual reports that began in 2004, examines the status of K-12 online education across the country. The report provides an overview of the latest policies, practices, and trends affecting online learning programs across all 50 states. In this 10th…
Vanderschuren, Marianne; Lane, T.E.; Korver, W.
For years, the world has enjoyed the luxury of inexpensive transport fuels, resulting in the continuous expansion of transport demand and vast improvements in mobility levels. The threat of peak oil and other environmental concerns, however, are forcing a paradigm shift in terms of transport planning. In recent times, many developed nations have been investigating alternative ways and means of weaning themselves off oil as the main transport energy source and managing transport energy demand. South Africa is a developing nation that, in terms of transportation technology and policy, lags behind developed countries. This presents South Africa with the opportunity to learn from other countries' triumphs and mistakes and to skip over obsolete investment patterns and ineffective policy. It needs to be determined what South Africa can do to bend the stream of continuously growing transport (energy) demand, without hampering growth in mobility. Solutions can potentially be found by looking at the European Union's past and present situation and responses. This paper summarises various European energy management transport policies. These policies are translated into a South African context-pros, cons and implementation viability are identified.
Vanderschuren, Marianne [Centre for Transport Studies, Faculty of Engineering and the Built Environment, University of Cape Town, Private Bag, 7701 Rondebosch (South Africa); Lane, T.E. [Centre for Transport Studies, University of Cape Town (South Africa); Korver, W. [Goudappel Coffeng BV (Netherlands)
For years, the world has enjoyed the luxury of inexpensive transport fuels, resulting in the continuous expansion of transport demand and vast improvements in mobility levels. The threat of peak oil and other environmental concerns, however, are forcing a paradigm shift in terms of transport planning. In recent times, many developed nations have been investigating alternative ways and means of weaning themselves off oil as the main transport energy source and managing transport energy demand. South Africa is a developing nation that, in terms of transportation technology and policy, lags behind developed countries. This presents South Africa with the opportunity to learn from other countries' triumphs and mistakes and to skip over obsolete investment patterns and in effective policy. It needs to be determined what South Africa can do to bend the stream of continuously growing transport (energy) demand, without hampering growth in mobility. Solutions can potentially be found by looking at the European Union's past and present situation and responses. This paper summarises various European energy management transport policies. These policies are translated into a South African context - pros, cons and implementation viability are identified. (author)
Vanderschuren, Marianne, E-mail: firstname.lastname@example.org [Centre for Transport Studies, Faculty of Engineering and the Built Environment, University of Cape Town, Private Bag, 7701 Rondebosch (South Africa); Lane, T.E., E-mail: email@example.com [Centre for Transport Studies, University of Cape Town (South Africa); Korver, W., E-mail: WKorver@goudappel.n [Goudappel Coffeng BV (Netherlands)
For years, the world has enjoyed the luxury of inexpensive transport fuels, resulting in the continuous expansion of transport demand and vast improvements in mobility levels. The threat of peak oil and other environmental concerns, however, are forcing a paradigm shift in terms of transport planning. In recent times, many developed nations have been investigating alternative ways and means of weaning themselves off oil as the main transport energy source and managing transport energy demand. South Africa is a developing nation that, in terms of transportation technology and policy, lags behind developed countries. This presents South Africa with the opportunity to learn from other countries' triumphs and mistakes and to skip over obsolete investment patterns and ineffective policy. It needs to be determined what South Africa can do to bend the stream of continuously growing transport (energy) demand, without hampering growth in mobility. Solutions can potentially be found by looking at the European Union's past and present situation and responses. This paper summarises various European energy management transport policies. These policies are translated into a South African context-pros, cons and implementation viability are identified.
Maloney, Erin A; Converse, Benjamin A; Gibbs, Chloe R; Levine, Susan C; Beilock, Sian L
By the time children begin formal schooling, their experiences at home have already contributed to large variations in their math and language development, and once school begins, academic achievement continues to depend strongly on influences outside of school. It is thus essential that educational reform strategies involve primary caregivers. Specifically, programs and policies should promote and support aspects of caregiver-child interaction that have been empirically demonstrated to boost early learning and should seek to impede "motivational sinkholes" that threaten to undermine caregivers' desires to engage their children effectively. This article draws on cognitive and behavioral science to detail simple, low-cost, and effective tools caregivers can employ to prepare their children for educational success and then describes conditions that can protect and facilitate caregivers' motivation to use those tools. Policy recommendations throughout focus on using existing infrastructure to more deeply engage caregivers in effective early childhood education at home. © The Author(s) 2015.
Li, Jinna; Kiumarsi, Bahare; Chai, Tianyou; Lewis, Frank L; Fan, Jialu
Industrial flow lines are composed of unit processes operating on a fast time scale and performance measurements known as operational indices measured at a slower time scale. This paper presents a model-free optimal solution to a class of two time-scale industrial processes using off-policy reinforcement learning (RL). First, the lower-layer unit process control loop with a fast sampling period and the upper-layer operational index dynamics at a slow time scale are modeled. Second, a general optimal operational control problem is formulated to optimally prescribe the set-points for the unit industrial process. Then, a zero-sum game off-policy RL algorithm is developed to find the optimal set-points by using data measured in real-time. Finally, a simulation experiment is employed for an industrial flotation process to show the effectiveness of the proposed method.
Trybula, Walter J.
Reviews the state of research in text mining, focusing on newer developments. The intent is to describe the disparate investigations currently included under the term text mining and provide a cohesive structure for these efforts. A summary of research identifies key organizations responsible for pushing the development of text mining. A section…
Zhu, Qile; Li, Xiaolin; Conesa, Ana; Pereira, Cécile
Best performing named entity recognition (NER) methods for biomedical literature are based on hand-crafted features or task-specific rules, which are costly to produce and difficult to generalize to other corpora. End-to-end neural networks achieve state-of-the-art performance without hand-crafted features and task-specific knowledge in non-biomedical NER tasks. However, in the biomedical domain, using the same architecture does not yield competitive performance compared with conventional machine learning models. We propose a novel end-to-end deep learning approach for biomedical NER tasks that leverages the local contexts based on n-gram character and word embeddings via Convolutional Neural Network (CNN). We call this approach GRAM-CNN. To automatically label a word, this method uses the local information around a word. Therefore, the GRAM-CNN method does not require any specific knowledge or feature engineering and can be theoretically applied to a wide range of existing NER problems. The GRAM-CNN approach was evaluated on three well-known biomedical datasets containing different BioNER entities. It obtained an F1-score of 87.26% on the Biocreative II dataset, 87.26% on the NCBI dataset and 72.57% on the JNLPBA dataset. Those results put GRAM-CNN in the lead of the biological NER methods. To the best of our knowledge, we are the first to apply CNN based structures to BioNER problems. The GRAM-CNN source code, datasets and pre-trained model are available online at: https://github.com/valdersoul/GRAM-CNN. firstname.lastname@example.org or email@example.com. Supplementary data are available at Bioinformatics online.
Full Text Available This study aims at developing a valid discovery-learning text book for the Islamic Education (PAI and Character subject delivered at the fifth grade of Primary School based on the results of the accuracy analysis of the existing student books. This is a Research and Development (R and D applying the 4-D model proposed by Semmel and Thiagarajan, that is, defining, designing, developing, and disseminating. Data collection techniques used (1 instrument assessment with the format of student book analysis to measure the level of accuracy of the existing textbooks, (2 interviews and observations, conducted to the PAI teachers, and (3 validation sheets. Moreover, the technique of data analysis used inter rater analysis technique, known as the technique of intra class correlation coefficient analysis (Intraclass Correlation Coefficient-ICC. As the result, in terms of level of accuracy, the existing textbooks of Character and Islamic Education at the fifth grade of elementary school is still low. In general, the teachers claim that the existing text books are able to meet some of the basic competencies and indicators. However, the text books need to be refined and clarified the student learning activities, making it more simple for students to learn. On the other hand, the product of discovery learning textbooks on the subjects of Character and Islamic Education at the fifth grade of elementary school are declared valid. This product is refined based on input, making it feasible for the students at the fifth grade of Primary School in learning Character and Islamic Education.
Skeppstedt, Maria; Kvist, Maria; Nilsson, Gunnar H; Dalianis, Hercules
Automatic recognition of clinical entities in the narrative text of health records is useful for constructing applications for documentation of patient care, as well as for secondary usage in the form of medical knowledge extraction. There are a number of named entity recognition studies on English clinical text, but less work has been carried out on clinical text in other languages. This study was performed on Swedish health records, and focused on four entities that are highly relevant for constructing a patient overview and for medical hypothesis generation, namely the entities: Disorder, Finding, Pharmaceutical Drug and Body Structure. The study had two aims: to explore how well named entity recognition methods previously applied to English clinical text perform on similar texts written in Swedish; and to evaluate whether it is meaningful to divide the more general category Medical Problem, which has been used in a number of previous studies, into the two more granular entities, Disorder and Finding. Clinical notes from a Swedish internal medicine emergency unit were annotated for the four selected entity categories, and the inter-annotator agreement between two pairs of annotators was measured, resulting in an average F-score of 0.79 for Disorder, 0.66 for Finding, 0.90 for Pharmaceutical Drug and 0.80 for Body Structure. A subset of the developed corpus was thereafter used for finding suitable features for training a conditional random fields model. Finally, a new model was trained on this subset, using the best features and settings, and its ability to generalise to held-out data was evaluated. This final model obtained an F-score of 0.81 for Disorder, 0.69 for Finding, 0.88 for Pharmaceutical Drug, 0.85 for Body Structure and 0.78 for the combined category Disorder+Finding. The obtained results, which are in line with or slightly lower than those for similar studies on English clinical text, many of them conducted using a larger training data set, show that
Solís, Michael; Scammacca, Nancy; Barth, Amy E.; Roberts, Garrett J.
This experimental study examined the effectiveness of a text-based reading and vocabulary intervention with self-regulatory supports for 4th graders with low reading comprehension. Students with standard scores on the Gates MacGinitie Reading Test between 1.0 standard deviation (SD) and 0.5 SD below the normative sample were included (N=44) and…
Hall-Kenyon, Kendra M.; Black, Sharon
One of the primary purposes of expository text in education is to teach new content. Because elementary grade children are accustomed to applying their literacy skills to reading and writing narratives, they must be taught new skills if they are to access expository content effectively. These skills and practices can be challenging because…
Kauffman, Douglas F.; Zhao, Ruomeng; Yang, Ya-Shu
This study explored conditions under which note taking methods and self-monitoring prompts are most effective for facilitating information collection and achievement in an online learning environment. In experiment 1 30 students collected notes from a website using an online conventional, outline, or matrix note taking tool. In experiment 2 119…
P Th Houngbo
Full Text Available Good governance (GG is an important concept that has evolved as a set of normative principles for low- and middle-income countries (LMICs to strengthen the functional capacity of their public bodies, and as a conditional prerequisite to receive donor funding. Although much is written on good governance, very little is known on how to implement it. This paper documents the process of developing a strategy to implement a GG model for Health Technology Management (HTM in the public health sector, based on lessons learned from twenty years of experience in policy development and implementation in Benin. The model comprises six phases: (i preparatory analysis, assessing the effects of previous policies and characterizing the HTM system; (ii stakeholder identification and problem analysis, making explicit the perceptions of problems by a diverse range of actors, and assessing their ability to solve these problems; (iii shared analysis and visioning, delineating the root causes of problems and hypothesizing solutions; (iv development of policy instruments for pilot testing, based on quick-win solutions to understand the system's responses to change; (v policy development and validation, translating the consensus solutions identified by stakeholders into a policy; and (vi policy implementation and evaluation, implementing the policy through a cycle of planning, action, observation and reflection. The policy development process can be characterized as bottom-up, with a central focus on the participation of diverse stakeholders groups. Interactive and analytical tools of action research were used to integrate knowledge amongst actor groups, identify consensus solutions and develop the policy in a way that satisfies criteria of GG. This model could be useful for other LMICs where resources are constrained and the majority of healthcare technologies are imported.
The paper analyses how the formal aims of citizenship education, as declared in legislation and policy documents, have changed since the end of the 1980s in response to the transformation of the political scenery in Finland and the Russian Federation. One central question framing the analysis of Finnish citizenship education is whether…
Carla K. Vasques
, Brazil, in tune with international movements, has established a series of laws, policies and programs to tackle inequalities and social exclusion. In such movement, subjects with global learning difficulties (GLD, traditionally excluded from schooling processes, are accepted in the classroom, and in the old school yard. What rationalities give support to the forms of naming and identifying who are these pupils? How do we understand the relation between the diagnostics, the policies, and the inscription of the school (im possibilities? To what extent inclusive policies of special education deconstruct the meanings that associate GLDs with ineducability or, still, difference with abnormality and inferiority? This essay discusses the implementation of guidelines of inclusion considering the political text and its effects on the context of the practice. Philosophical hermeneutics offers the times and focus for this reading. The argument is woven with and from the speeches of a pupil and of teachers in different fields of research. From text to life, the increase in enrolments; the proliferation of the meanings about these pupils and the school possibilities; the re-enactment of old impasses faced with the new, the different. Although within the sphere of principles equality and differences are both recognized, in the concrete life in schools the notion of the different as unequal still endures. From inclusion to belonging, we put our hopes here in the dialogue as valuation of alterity and requirement of belonging.
Full Text Available Enrica Menditto,1 Valentina Orlando,1 Silvia Coretti,2 Daria Putignano,1 Denise Fiorentino,1 Matteo Ruggeri2 1CIRFF, Center of Pharmacoeconomics, Federico II University of Naples, Naples, 2Postgraduate School of Health Economics and Management (ALTEMS, Università Cattolica del Sacro Cuore, School of Economics, Rome, Italy Background: Agency is a pervasive feature of the health care market, with doctors acting as agents for both patients and the health care system. In a context of scarce resources, doctors are required to take opportunity cost into account when prescribing treatments, while cost containment policies cannot overlook their active role in determining health care resource allocation. This paper addresses this issue, investigating the effects of cost containment measures in the market of biosimilar drugs that represent a viable and cost-saving strategy for the reduction of health care expenditure. The analysis focuses on a particular region in Italy, where several timely policies to incentivize biosimilar prescribing were launched. Methods: Drugs were identified by the anatomical therapeutic chemical classification system. Information about biosimilar drugs and their originator biological products was extracted from the IMS Health regional database. Drug consumption was expressed in terms of counting units, while expenditure was evaluated in Euro (€.The market penetration of biosimilars was analyzed by year and quarterly. Results: In the Campania region of Italy, the effects of cost containment policies, launched between 2009 and 2013, showed the prescription of biosimilars strongly increasing in 2010 until prescribing levels reached and exceeded the market share of the reference biological products in 2012. After a slight reduction, a plateau was observed at the beginning of 2013. At the same time, the use of the originator products had been decreasing until the first quarter of 2011. However, after a 1-year plateau, this trend
Full Text Available This research analyzes the effectiveness of thematic progression patterns with cooperative learning method (TP-CL in teaching the students’ competence in developing a paragraph of discussion texts and the effectiveness of teaching-learning activities of paragraph writing class. This mixed method research was conducted in the English Department of Tidar University of Magelang in the academic year of 2011/2012. The sample of this research were the fourth semester students of UTM. To collect the research data, writing test, observation and interview were used while to analyze the data, she used descriptive and inferential statistics for quantitative data and constant comparative method for qualitative data. The first result shows that implementing TP-CL is effective for teaching the students’ competence in developing a paragraph of discussion texts. It can be seen from the results of writing tests. Based on Brown and Bailey’s theory in Brown (2004, it can be seen that the mean score of organization element in pretest is 10.77 and the post test of paragraph writing is 16.73. The second result shows that there is an improvement of the effectiveness of teaching-learning activity of writing class by implementing TP-CL. The effectiveness can be seen from the indicators of effective teaching based on Blum in Nunan and Lamb (1996 and Creemer’s theory (1994. The results suggest that writing lecturers should introduce to develop a paragraph to the students in order that they can write paragraphs coherently and various theme in order that they can write the paragraph artistically.
Elmahdawy, Mahmoud; Elsisi, Gihan H; Carapinha, Joao; Lamorde, Mohamed; Habib, Abdulrazaq; Agyie-Baffour, Peter; Soualmi, Redouane; Ragab, Samah; Udezi, Anthony W; Usifoh, Cyril; Usifoh, Stella
The Ebola virus has spread across several Western Africa countries, adding a significant financial burden to their health systems and economies. In this article the experience with Ebola is reviewed, and economic challenges and policy recommendations are discussed to help curb the impact of other diseases in the future. The West African Ebola virus disease epidemic started in resource-constrained settings and caused thousands of fatalities during the last epidemic. Nevertheless, given population mobility, international travel, and an increasingly globalized economy, it has the potential to re-occur and evolve into a global pandemic. Struggling health systems in West African countries hinder the ability to reduce the causes and effects of the Ebola epidemic. The lessons learned include the need for strengthening health systems, mainly primary care systems, expedited access to treatments and vaccines to treat the Ebola virus disease, guidance on safety, efficacy, and regulatory standards for such treatments, and ensuring that research and development efforts are directed toward existing needs. Other lessons include adopting policies that allow for better flow of relief, averting the adverse impact of strong quarantine policy that includes exaggerating the aversion behavior by alarming trade and business partners providing financial support to strengthen growth in the affected fragile economies by the Ebola outbreak. Curbing the impact of future Ebola epidemics, or comparable diseases, requires increased long-term investments in health system strengthening, better collaboration between different international organizations, more funding for research and development efforts aimed at developing vaccines and treatments, and tools to detect, treat, and prevent future epidemics. Copyright © 2017. Published by Elsevier Inc.
Czerniewicz, Laura; Brown, Cheryl
This article investigates the relationship between policy (conceptualised as goals, values and resources), organisational culture and e-learning use. Through both qualitative and quantitative research methods, we gathered data about staff and student perspectives from four diverse South African universities representing a selection of ICT in…
Full Text Available Efforts are underway in many European countries to channel efforts into creating improved integrated health and social care services. But most countries lack a strategic plan that is sustainable over time, and that reflects a comprehensive systems perspective. The Policy Guide on Integrated Care (PGIC as presented in this paper resulted from experiences with the EU Project INTEGRATE and our own work with healthcare reform for patients with chronic conditions at the national and international level. This project is one of the largest EU funded projects on Integrated Care, conducted over a four-year period (2012–2016 and included partners from nine European countries. Project Integrate aimed to gain insights into the leadership, management and delivery of integrated care to support European care systems to respond to the challenges of ageing populations and the rise of people living with long-term conditions. The objective of this paper is to describe the PGIC as both a tool and a reasoning flow that aims at supporting policy makers at the national and international level with the development and implementation of integrated care. Any Policy Guide on Integrated should build upon three building blocks, being a mission, vision and a strategy that aim at capturing the large amount of factors that directly or indirectly influence the successful development of integrated care.
Full Text Available Special education teachers for visually impaired students rely on tools such as raised-line maps (RLMs to teach spatial knowledge. These tools do not fully and adequately meet the needs of the teachers because they are long to produce, expensive, and not versatile enough to provide rapid updating of the content. For instance, the same RLM can barely be used during different lessons. In addition, those maps do not provide any interactivity, which reduces students’ autonomy. With the emergence of 3D printing and low-cost microcontrollers, it is now easy to design affordable interactive small-scale models (SSMs which are adapted to the needs of special education teachers. However, no study has previously been conducted to evaluate non-visual learning using interactive SSMs. In collaboration with a specialized teacher, we designed a SSM and a RLM representing the evolution of the geography and history of a fictitious kingdom. The two conditions were compared in a study with 24 visually impaired students regarding the memorization of the spatial layout and historical contents. The study showed that the interactive SSM improved both space and text memorization as compared to the RLM with braille legend. In conclusion, we argue that affordable home-made interactive small scale models can improve learning for visually impaired students. Interestingly, they are adaptable to any teaching situation including students with specific needs.
David N. Bengston; Jennifer O. Fletcher
The public sector in the United States has responded to growing concern about the social and environmental costs of sprawling development patterns by creating a wide range of policy instruments designed to manage urban growth and protect open space. These techniques have been implemented at the local, regional, state and, to a limited extent, national levels. This...
A starter which teaches the basic tasks to be performed with Sublime Text with the necessary practical examples and screenshots. This book requires only basic knowledge of the Internet and basic familiarity with any one of the three major operating systems, Windows, Linux, or Mac OS X. However, as Sublime Text 2 is primarily a text editor for writing software, many of the topics discussed will be specifically relevant to software development. That being said, the Sublime Text 2 Starter is also suitable for someone without a programming background who may be looking to learn one of the tools of
Giraud, Stéphanie; Brock, Anke M; Macé, Marc J-M; Jouffrais, Christophe
Special education teachers for visually impaired students rely on tools such as raised-line maps (RLMs) to teach spatial knowledge. These tools do not fully and adequately meet the needs of the teachers because they are long to produce, expensive, and not versatile enough to provide rapid updating of the content. For instance, the same RLM can barely be used during different lessons. In addition, those maps do not provide any interactivity, which reduces students' autonomy. With the emergence of 3D printing and low-cost microcontrollers, it is now easy to design affordable interactive small-scale models (SSMs) which are adapted to the needs of special education teachers. However, no study has previously been conducted to evaluate non-visual learning using interactive SSMs. In collaboration with a specialized teacher, we designed a SSM and a RLM representing the evolution of the geography and history of a fictitious kingdom. The two conditions were compared in a study with 24 visually impaired students regarding the memorization of the spatial layout and historical contents. The study showed that the interactive SSM improved both space and text memorization as compared to the RLM with braille legend. In conclusion, we argue that affordable home-made interactive small scale models can improve learning for visually impaired students. Interestingly, they are adaptable to any teaching situation including students with specific needs.
A survey of 765 adult learners who funded education through the British government's Individual Learning Accounts showed the program brought in new lifelong learning participants, encouraged more demanding learning, and increased participation of underrepresented groups. Advice and guidance played an important role. (SK)
Full Text Available Regional science policy aims to create productive knowledge clusters, which are central places within an epistemic landscape of knowledge production and dissemination. These so-called K-clusters are said to have the organisational capability to drive innovations and create new industries. Many governments have used cluster formation as one of their development strategies. This paper looks at Malaysiaâ€™s path towards a knowledge-based economy and offers some evidence on the current state of knowledge cluster formation in that country. If the formation of a knowledge cluster has been the government policy, what has been the result? Is there an epistemic landscape of knowledge clusters? Has the main knowledge cluster really materialised? Data collected from websites, directories, government publications and expert interviews have enabled us to construct the epistemic landscape of Peninsular Malaysia, and Penang in particular. We identify and describe several knowledge clusters with a high density of knowledge producing institutions and their knowledge workers. An analysis of the knowledge output, measured in terms of scientific publications, patents and trademarks, shows that knowledge clusters have indeed been productive â€“ as predicted by cluster theory â€“ although the internal working of clusters require further explanation.
'Full text:' The complexity that surrounds many aspects of technological change and of political and economic policy exists side by side with fundamental (in inconvenient) givens. The overwhelming desire to continue “business as usual” policies with respect to resource use; non-accountability in rates of resource depletion; emissions buildup and projected climate impact has resulted in the loss of a quarter century in moderating the pace of these eventually unsustainable practices. This paper's focus is on the necessity of adopting the precautionary principle in formulating practical public policy to reduce the threat of climate change; to shift the rate of fossil fuel depletion from fast track to slow and measured pace and to implement economic stimuli through renewable energy projects, etc. (author)
Straus, Susan G; Galegher, Jolene; Shanley, Michael G; Moini, Joy S
.... The Army Distributed Learning Program, or TADLP, is a comprehensive program that is implementing DL through digital training facilities, courseware, learning management systems, and other strategies...
Ellaway, Rachel H; Round, Jonathan; Vaughan, Sophie; Poulton, Terry; Zary, Nabil
Background The impact of the use of video resources in primarily paper-based problem-based learning (PBL) settings has been widely explored. Although it can provide many benefits, the use of video can also hamper the critical thinking of learners in contexts where learners are developing clinical reasoning. However, the use of video has not been explored in the context of interactive virtual patients for PBL. Objective A pilot study was conducted to explore how undergraduate medical students interpreted and evaluated information from video- and text-based materials presented in the context of a branched interactive online virtual patient designed for PBL. The goal was to inform the development and use of virtual patients for PBL and to inform future research in this area. Methods An existing virtual patient for PBL was adapted for use in video and provided as an intervention to students in the transition year of the undergraduate medicine course at St George’s, University of London. Survey instruments were used to capture student and PBL tutor experiences and perceptions of the intervention, and a formative review meeting was run with PBL tutors. Descriptive statistics were generated for the structured responses and a thematic analysis was used to identify emergent themes in the unstructured responses. Results Analysis of student responses (n=119) and tutor comments (n=18) yielded 8 distinct themes relating to the perceived educational efficacy of information presented in video and text formats in a PBL context. Although some students found some characteristics of the videos beneficial, when asked to express a preference for video or text the majority of those that responded to the question (65%, 65/100) expressed a preference for text. Student responses indicated that the use of video slowed the pace of PBL and impeded students’ ability to review and critically appraise the presented information. Conclusions Our findings suggest that text was perceived to be a
Woodham, Luke A; Ellaway, Rachel H; Round, Jonathan; Vaughan, Sophie; Poulton, Terry; Zary, Nabil
The impact of the use of video resources in primarily paper-based problem-based learning (PBL) settings has been widely explored. Although it can provide many benefits, the use of video can also hamper the critical thinking of learners in contexts where learners are developing clinical reasoning. However, the use of video has not been explored in the context of interactive virtual patients for PBL. A pilot study was conducted to explore how undergraduate medical students interpreted and evaluated information from video- and text-based materials presented in the context of a branched interactive online virtual patient designed for PBL. The goal was to inform the development and use of virtual patients for PBL and to inform future research in this area. An existing virtual patient for PBL was adapted for use in video and provided as an intervention to students in the transition year of the undergraduate medicine course at St George's, University of London. Survey instruments were used to capture student and PBL tutor experiences and perceptions of the intervention, and a formative review meeting was run with PBL tutors. Descriptive statistics were generated for the structured responses and a thematic analysis was used to identify emergent themes in the unstructured responses. Analysis of student responses (n=119) and tutor comments (n=18) yielded 8 distinct themes relating to the perceived educational efficacy of information presented in video and text formats in a PBL context. Although some students found some characteristics of the videos beneficial, when asked to express a preference for video or text the majority of those that responded to the question (65%, 65/100) expressed a preference for text. Student responses indicated that the use of video slowed the pace of PBL and impeded students' ability to review and critically appraise the presented information. Our findings suggest that text was perceived to be a better source of information than video in virtual
Rider, Briana B; Lier, Silje C; Johnson, Tisha K; Hu, Dale J
In August 2014, the U.S. DHHS's Office of Disease Prevention and Health Promotion released the National Action Plan for Adverse Drug Event Prevention, highlighting prevention of diabetes agent-related hypoglycemia as a key area for improvement. In support of the Action Plan, the Office of Disease Prevention and Health Promotion then developed a web-based interactive module, or eLearning lesson, based on formative research and stakeholder feedback to educate healthcare professionals on strategies to prevent adverse drug events from diabetes agents. The training incorporates health literacy principles by demonstrating, through video scenarios, how to apply shared decision making when setting individualized glycemic targets, and how to use the teach-back method to confirm patients' understanding. Prior to release in September 2014, the training went through intensive usability testing and was pilot tested using a 36-item evaluation. Six months after its release (September 2014 to March 2015), the training landing page on health.gov had 24,334 unique page views. More than 90% of the 234 participants who earned continuing education credit agreed that they will be able to apply the knowledge gained from the lesson to their practice. Online trainings that model key prevention strategies are well received by health professional users and may play an important role in translating policy into improved outcomes. Published by Elsevier Inc.
Olesen, Henning Salling
The invention of a new language of competence – a necessary tool for a lifelong learning policy. In order to obtain the ambitions of a real lifelong learning it is a crucial challenge to develop a new language of competence which can make validation independent of traditional academic curricula...... to societal practice, which involves something more than abstract cognitive knowledge. However, it is more difficult to specify theoretically the “non-cognitive” psycho-social prerequisites - and perhaps it is also politically tricky because it is in part a question of active involvement in and acceptance...
Marr, Liz; Harvey, Morag
At a time of worldwide economic recession, policy decisions at governmental and institutional level have to balance the basic human rights of access to education with the skills needs for economic competitiveness. This is playing out across Europe in a myriad of ways, as social problems exacerbated by lack of opportunity, add to the complexity of funding decisions.\\ud As part of the OPULL (Opening up Universities to Lifelong Learning) project, four European universities have been conducting r...
Meyer, Niels I
In order to deduce the most efficient policies for promoting wind power, this paper compares the different national energy policies adopted by Denmark, Sweden and Spain, and relates them to wind energy outcomes. The analysis demonstrates the importance of long-range national energy policies...... in creating and stabilizing the conditions required for the development of more sustainable energy systems....
Milana, Marcella; Rasmussen, Palle; Holford, John
The idea of "sustainability" as a core value has slowly permeated policy and practice at governmental and institutional levels, in public and private policy. However, at times when social and economic crises have revealed the fragility of existing institutions and policies, it is important to consider how sustainability is -- and could…
This article seeks to augment an emerging interest in education policy research in enactment theorising, to explicitly consider the role and contribution of materiality in this theorising. Guided by the notion of policy "matters," the article takes as its empirical context a major policy initiative, the Building the Education Revolution…
Wolfson, Julia A; Frattaroli, Shannon; Bleich, Sara N; Smith, Katherine Clegg; Teret, Stephen P
Declines in cooking skills in the United States may contribute to poor diet quality and high obesity rates. Little is known about how Americans learn to cook or their support for cooking education policies. The objective of this study was to examine how Americans learn to cook, attributions of responsibility for teaching children how to cook, and public support for policies to teach cooking skills. We used a concurrent, triangulation mixed-methods design that combined qualitative focus group data (from 7 focus groups in Baltimore, MD (N = 53)) with quantitative survey data from a nationally representative, web-based survey (N = 1112). We analyzed focus group data (using grounded theory) and survey data (using multivariable logistic regression). We find that relatively few Americans learn to cook from formal instruction in school or community cooking classes; rather, they primarily learn from their parents and/or by teaching themselves using cookbooks, recipe websites or by watching cooking shows on television. While almost all Americans hold parents and other family members responsible for teaching children how to cook, a broad majority of the public supports requiring cooking skills to be taught in schools either through existing health education (64%) or through dedicated home economics courses (67%). Slightly less than half of all Americans (45%) support increasing funding for cooking instruction for participants in the Supplemental Nutrition Assistance Program (SNAP). Broad public support for teaching cooking skills in schools suggests that schools are one promising avenue for policy action. However, school-based strategies should be complemented with alternatives that facilitate self-learning. More research is needed to identify effective means of teaching and disseminating the key cooking skills and knowledge that support healthy eating. Copyright Â© 2016 Elsevier Ltd. All rights reserved.
Turn on the news or open the paper and sure enough there will be mention of the disastrous oil spill in the Gulf of Mexico. Although it has retreated from the big headlines, the disaster still looms large as people deal with the aftermath of the BP catastrophe. The Deepwater Horizon disaster has put offshore drilling and emergency oil spill response on the forefront of everyone's minds in the International community. Maritime oil disasters, no matter how you look at them, affect everyone. Their oily consequences create a ripple effect in which not only does the industry suffer and those who must daily deal with the pollution, but governments and policy makers must attempt to draw policy conclusions and find ways in which to limit such events in the future. Blame gets passed around like a virus and in the meantime cleanup efforts experience varying degrees of success. People lose hope and trust as the oil companies and government officials scramble to cover all their bases and seek to assure that this disaster won't happen again. But what makes a disaster like Deepwater Horizon an exception and what makes it a more fundamental problem that needs to be addressed globally? This event that has drawn so much attention internationally is not the first maritime oil disaster nor, unfortunately, will it be the last. The ultimate goal is that the international community learns from these events and does all in its power to ensure that future oil disasters will not reach this level of severity. Many people wonder how such a disaster could occur and why it was 'allowed' to happen. The purpose of this brief note is to shed light on maritime oil disasters by examining five such cases starting in the late 1970's until today. Since there is absolutely no way to paint disasters in black and white terms, the intent of this research is to put oil disasters into a historical context, to compare them, and to see if we are learning lessons from past oil disasters. The paper will look at
Topaz, Maxim; Ash, Nachman
The heaLthcare system in the United States (U.S.) faces a number of significant changes aimed at improving the quality and availability of medical services and reducing costs. Implementation of health information technologies, especiaLly ELectronic Health Records (EHR), is central to achieving these goals. Several recent Legislative efforts in the U.S. aim at defining standards and promoting wide scale "Meaningful Use" of the novel technologies. In Israel, the majority of heaLthcare providers adopted EHR throughout the Last decade. Unlike the U.S., the process of EHR adoption occurred spontaneously, without governmental control or the definition of standards. In this article, we review the U.S. health information technology policies and standards and suggest potential lessons Learned for Israel. First, we present the three-staged Meaningful Use regulations that require eligible healthcare practitioners to use EHR in their practice. We also describe the standards for EHR certification and national efforts to create interoperable health information technology networks. Finally, we provide a brief overview of the IsraeLi regulation in the field of EHR. Although the adoption of health information technology is wider in Israel, the Lack of technology standards and governmental control has Led to Large technology gaps between providers. The example of the U.S. Legislation urges the adoption of several critical steps to further enhance the quality and efficiency of the Israeli healthcare system, in particular: strengthening health information technology regulation; developing Licensure criteria for health information technology; bridging the digital gap between healthcare organizations; defining quality measures; and improving the accessibility of health information for patients.
Rivers, N.; Jaccard, M.
Many clean energy technologies have experienced rapid cost declines recently as a result of accumulating experience with their production and use. It has been argued that if this relationship between experience and cost continues in the future, then it may make sense to foster market penetration of clean energy technologies on a large scale today, despite their current high costs, in order to drive down their costs in the future. If the magnitude of cost declines is sufficient, then rapid large-scale diffusion of clean energy technologies could even provide discounted social benefits that exceed discounted social costs. However, private firms may not make these investments even when socially beneficial since knowledge gained from investments spills over to other firms, and also because private firms have imperfect foresight about cost declines resulting from learning by doing investments. In this case where diffusion of clean energy technologies would provide a social net benefit, but where private firms are unwilling to invest, it may make sense for a government to adopt a regulatory approach aimed at forcing diffusion of clean energy technologies. This paper tests this hypothesis using the criteria of economic efficiency and finds that such a conclusion is unwarranted in most circumstances - instead of forcing diffusion through regulatory instruments, government should seek to correct externalities using market-based instruments. In practice however, government chooses policy based on a broader set of criteria, including especially political acceptability. Our analysis shows that in many cases, regulatory instruments are only slightly more expensive than market-based instruments. For this reason, even though regulatory instruments may be more expensive than comparable market-based instruments, they may still be superior when evaluated using multiple attributes like political acceptability. (author)
Sabin, Lora L; Larson Williams, Anna; Le, Bao Ngoc; Herman, Augusta R; Viet Nguyen, Ha; Albanese, Rebecca R; Xiong, Wenjun; Shobiye, Hezekiah Oa; Halim, Nafisa; Tran, Lien Thi Ngoc; McNabb, Marion; Hoang, Hai; Falconer, Ariel; Nguyen, Tam Thi Thanh; Gill, Christopher J
A randomized controlled trial was conducted in 2015 to evaluate a mobile continuing medical education (mCME) intervention that provided daily text messages to community-based physicians' assistants (CBPAs) in Thai Nguyen Province, Vietnam. Although the intervention failed to improve medical knowledge over a 6-month period, a companion qualitative study provided insights on the views and experiences of intervention participants. We conducted focus group discussions (FGDs) and in-depth interviews (IDIs) among participants randomized to receive text messages containing either simple medical facts or quiz questions. Trained interviewers collected data immediately following the conclusion of the trial in December 2015. Using semi-structured question guides, respondents were queried on their views of the intervention, positive and negative, and perceived impacts of the intervention. During analysis, after learning that the intervention had failed to increase knowledge among participants, we also examined reasons for lack of improvement in medical knowledge. All analyses were performed in NVivo using a thematic approach. A total of 70 CBPAs engaged in one of 8 FGDs or an IDI. One-half were men; average age among all respondents was 40 years. Most (81%) practiced in rural settings and most (51%) focused on general medicine. The mean length of work experience was 3 years. All respondents made positive comments about the intervention; convenience, relevance, and quick feedback (quiz format) were praised. Downsides encompassed lack of depth of information, weak interaction, technology challenges, and challenging/irrelevant messages. Respondents described perceived impacts encompassing increased motivation, knowledge, collegial discussions, Internet use to search for more information, and clinical skills. Overall, they expressed a desire for the intervention to continue and recommended expansion to other medical professionals. Overreliance on the text messages, lack of
Yang, Jin, Ed.; Schneller, Chripa, Ed.; Roche, Stephen, Ed.
There is no doubt that universities have a vital role to play in promoting lifelong learning. This publication presents possible ways of expanding and transforming higher education to facilitate lifelong learning in different socio-economic contexts. Nine articles address the various dimensions of the role of higher education in promoting lifelong…
Full Text Available This paper examines attempts to integrate environmental sustainability goals into the design and implementation of projects funded by the EU Structural Funds programmes in the U.K. between 2000 and 2006. It does so by comparing how the two “horizontal priorities” (environmental sustainability and gender equality fared in terms of understanding and acceptance by project applicants. It places this material within the wider context of literature on environmental policy integration and inter-agency cooperation. A “policy coordination” framework is used as a heuristic device to construct an account of the ways in which the two themes were handled through the interplay of the myriad of actors and organisations involved in the process. A key part in this involved the deployment of “policy champions” to work with external organisations bidding for funding to support projects that formed the core of programme implementation. The paper also examines the variable reactions on the part of project designers to the requirement to incorporate environmental and gender goals and the greater inter-professional networking that these implied. The comparison between the two priorities clearly demonstrates the difficulties inherent in the breadth and complexity of environmental issues and the need in the first instance to link them to relatively simple actions directly associated with economic development activity. The study concludes that this is essentially the first step in a more protracted “policy learning” process.
Full Text Available Agriculture is the main driving force of rural economies so there is a need to promote sustainable rural development and hence improve the living conditions of local communities. This article analyses the role of agricultural policies in reducing poverty in rural communities. Two aspects will be analysed: firstly, whether there has been a reduction in poverty in the basins analysed for the period 2006–2013; and secondly, whether that poverty reduction, to the extent that it has occurred, has been due to the agricultural policies applied. The analysis shows that the agricultural policies implemented helped to diversify and enhance agricultural production, so that a reduction in effective poverty occurred. However, these policies need to work jointly and in harmony with other economic sectors.
Gómez, Eduardo J
In the United States (US) and Brazil, obesity has emerged as a health epidemic. This article is driven by the following research questions: how did the US and Brazil's federal institutions respond to obesity? And how did these responses affect policy implementation? The aim of this article is therefore to conduct a comparative case study analysis of how these nations' institutions responded in order to determine the key lessons learned. This study uses primary and secondary qualitative data to substantiate causal arguments and factual claims. Brazil shows that converting preexisting federal agencies working in primary healthcare to emphasize the provision of obesity prevention services can facilitate policy implementation, especially in rural areas. Brazil also reveals the importance of targeting federal grant support to the highest obesity prevalence areas and imposing grant conditionalities, while illustrating how the incorporation of social health movements into the bureaucracy facilitates the early adoption of nutrition and obesity policies. None of these reforms were pursued in the US. Brazil's government has engaged in innovative institutional conversion processes aiding its ability to sustain its centralized influence when implementing obesity policy. The US government's adoption of Brazil's institutional innovations may help to strengthen its policy response.
Macfadyen, Leah P.; Dawson, Shane; Pardo, Abelardo; Gaševic, Dragan
In the new era of big educational data, learning analytics (LA) offer the possibility of implementing real-time assessment and feedback systems and processes at scale that are focused on improvement of learning, development of self-regulated learning skills, and student success. However, to realize this promise, the necessary shifts in the…
Kiss, Bernadett; Neij, Lena
The role of policy instruments to promote the development and diffusion of energy efficient technologies has been repeatedly accentuated in the context of climate change and sustainable development. To better understand the impact of policy instruments and to provide insights into technology change, assessments of various kinds are needed. This study analyzes the introduction and development of energy efficient windows in Sweden and the policy incentives applied to support this process. The study focuses on the assessment of technology and market development of energy efficient windows in Sweden; and by applying the concept of learning, it assesses how conditions for learning-by-searching, learning-by-doing, learning-by-using and learning-by-interacting have been supported by different policies. The results show successful progress in technology development and an improvement in best available technology of Swedish windows from 1.8 W/m 2 K in the 1970s to 0.7 W/m 2 K in 2010; in the same time period the market share of energy efficient windows increased from 20% in 1970 (average U-value of 2.0 W/m 2 K) to 80-85% in 2010 (average U-value of 1.3-1.2 W/m 2 K). The assessment shows that various policy instruments have facilitated all four learning processes resulting in the acknowledged slow but successful development of energy efficient windows. - Highlights: → Policy instruments for learning and technology change are assessed. → The development and diffusion of energy efficient windows (EEWs) in Sweden is taken as showcase. → Learning has been supported by various policies resulting in successful development of EEWs. → The thermal performance of EEWs improved with 2/3 and their market share increased by 3/5 in 40 years. → Main policies for learning are RD and D, technology procurement, testing and voluntary initiatives.
Elis Regina da Costa
Full Text Available O objetivo da presente pesquisa foi avaliar a eficácia de uma intervenção em estratégias de aprendizagem na melhoria da qualidade da produção de textos de alunos. O estudo baseou-se num delineamento quase-experimental, realizado em 3 etapas: pré-teste, intervenção e pós-teste. A qualidade da produção textual foi avaliada por meio da comparação de dois textos narrativos (pré e pós-teste, quanto aos aspectos estruturais (presença de elementos básicos, ao nível de articulação de idéias (categorias hierárquicas, aos erros ortográficos e à quantidade de linhas escritas. Participaram do estudo 35 alunos da 6ª série de uma escola pública da cidade de Catalão, Goiás, que foram distribuídos aleatoriamente nos grupos experimental (N=18 e controle (N=17. Constatou-se que os alunos do grupo experimental produziram textos, no pós-teste, de melhor qualidade, caracterizados por uma estrutura narrativa adequada, idéias mais bem articuladas e maior quantidade de linhas escritas.The purpose of this research was to evaluate the efficacy of a learning strategy intervention for the improvement of quality in narrative production. It was based on a quasi-experimental design with three stages: pre-test, intervention sessions, and post-test. The quality of text production was examined by comparing two narratives (pre and post-test in relation to text structure (presence of basic elements, level of idea articulation (hierarchy categories, spelling mistakes and number of written lines. The sample consisted of 35 6th grade students from a public school in Catalão-GO who were randomly distributed to experimental (N=18 and control group (N=17. The results showed that experimental group students produced better narratives in post-test characterized by adequate structure, good articulation of ideas and more written lines.
Erichsen, Elizabeth Roumell; Salajan, Florin D.
This study developed a framework that compares the content and purposes of "federal" level European Union (EU) and United States (US) e-learning policy to ascertain trends, patterns, and points of convergence and divergence across the years 1994-2010. It reveals that the EU and US are applying similar rhetoric for policy framing,…
Antunes, Fátima; Guimarães, Paula
Both the Portuguese appropriation of the lifelong learning policy proposed by the European Union since the mid-1990s and the definition of adult education policy in Portugal were based on a discourse that emphasised an "unacceptable educational deficit" for democracy. The role of the State in the "governance" of the public…
Toth, Cheryl; Sacopulos, Michael J
Many physicians and practice staff use short messaging service (SMS) text messaging to communicate with patients. But SMS text messaging is unencrypted, insecure, and does not meet HIPAA requirements. In addition, the short and abbreviated nature of text messages creates opportunities for misinterpretation, and can negatively impact patient safety and care. Until recently, asking patients to sign a statement that they understand and accept these risks--as well as having policies, device encryption, and cyber insurance in place--would have been enough to mitigate the risk of using SMS text in a medical practice. But new trends and policies have made SMS text messaging unsafe under any circumstance. This article explains these trends and policies, as well as why only secure texting or secure messaging should be used for physician-patient communication.
This report attempts to obtain lessons in implementation of HLW management policies for Japan by reviewing past experiences and present status of policy formulation and implementation as well as reflection of public opinions and consensus building of selected European countries, such as Finland, Sweden and others. After examining the situations of those countries, the author derives four key aspects that need to be addressed; separation of nuclear energy policies and HLW policies, fundamental support shared among national public, sense of controllability, and proper scheme of responsibility sharing. (author)
Sogie-Thomas, Byron; Sankofa, John; Reed, Crystal; Mfume, Kweisi; Doamekpor, Lauren Abla
Effective, timely, and intentional policy efforts can significantly impact and improve the public's health and reduce racial and ethnic health disparities across the nation. Creating and implementing responsive policies at the state and county level is essential to supporting community efforts to improve health behaviors and health outcomes, particularly for communities of color who bear the brunt of disease risk and negative health outcomes. Using policy examples from the State of Maryland and Prince George's County, the largest and wealthiest predominately African-American county in the USA, this case study highlights the importance of state and county policy action when presented with opportunities to affect long-lasting, positive change. We examine each jurisdiction's policy response through the lens of timeliness, intentionality, and effectiveness. At first glance, it would appear that Maryland responded effectively to the rise in tobacco use. Similarly, at face value, it appears that Prince George's County's unchecked rise in obesity rates among African-Americans is an example of nonresponsiveness among local policymakers in the face of an obesity epidemic. However-guided by a more nuanced understanding of "policy responsiveness"-this analysis uncovers a more revealing picture, with important strengths and limitations seen in both policy situations. This analysis raises critical questions about the determinants of jurisdictions' health policy capacity and how policymakers might best be supported in their efforts to build an arsenal of health policies that are timely, effective, and intentional in meeting the needs of vulnerable communities.
Full Text Available The objective of this study is to examine the status of Higher Education Institutions (HEIs) policies in supporting lecturers when providing mobile centric services to students. The research was undertaken as a single case study within the Open...
Berry, Michael W
Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning
Lerner, Jennifer Brown; Tomasello, Jenna; Brand, Betsy; Knowles, George
Afterschool and competency-based learning are increasingly emerging as student-centered, supportive learning models to prepare students for college and career. This white paper explores the intersection and relationship between these two fields, recommends ideal policy environments for implementing successful programs, provides real-world…
MacDermott, Raymond J.
Instructors often debate the merits of alternate grading policies such as dropping the lowest exam or offering an additional exam to replace the lowest score. To date, there has been little research conducted on the impact of these policies on performance. In this study, the author investigates student performance in intermediate macroeconomics…
van Herten, L. M.; Gunning-Schepers, L. J.
This article reviews the start of the use of targets as a tool in health policy, summarises the fruitful uses and frequently-heard objections, and proposes some conditions for successful health target setting. Targets as tool in health policy are based on the 'management by objectives' approach
Watson, John; Murin, Amy; Vashaw, Lauren; Gemin, Butch; Rapp, Chris
This is the 10th annual "Keeping Pace" report. "Keeping Pace" has several goals: (1) add to the body of knowledge about online education policy and practice, and make recommendations for advances; (2) serve as a reference source for information about programs and policies across the country, both for policymakers and…
Dimitrakakis, C.; Lagoudakis, M.G.
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schemes without value functions, which focus on policy representation using classifiers and address policy learning as a
The following dissertation explains how technological change of wind power, in terms of cost reduction and performance improvement, is achieved in China and the US through energy policies, technological learning, and collaboration. The objective of this dissertation is to understand how energy policies affect key actors in the power sector to promote renewable energy and achieve cost reductions for climate change mitigation in different institutional arrangements. The dissertation consists of three essays. The first essay examines the learning processes and technological change of wind power in China. I integrate collaboration and technological learning theories to model how wind technologies are acquired and diffused among various wind project participants in China through the Clean Development Mechanism (CDM)--an international carbon trade program, and empirically test whether different learning channels lead to cost reduction of wind power. Using pooled cross-sectional data of Chinese CDM wind projects and spatial econometric models, I find that a wind project developer's previous experience (learning-by-doing) and industrywide wind project experience (spillover effect) significantly reduce the costs of wind power. The spillover effect provides justification for subsidizing users of wind technologies so as to offset wind farm investors' incentive to free-ride on knowledge spillovers from other wind energy investors. The CDM has played such a role in China. Most importantly, this essay provides the first empirical evidence of "learning-by-interacting": CDM also drives wind power cost reduction and performance improvement by facilitating technology transfer through collaboration between foreign turbine manufacturers and local wind farm developers. The second essay extends this learning framework to the US wind power sector, where I examine how state energy policies, restructuring of the electricity market, and learning among actors in wind industry lead to
Tewari, D.D.; Shah, Tushaar
This study reviews the economics, logistics, and technology underlying the South African experiment of prepaid electricity. Although this experiment has resulted into benefiting large masses of small and dispersed consumers, it has also generated a set of new problems that could not be visualized at the inception of the experiment. The success of this program can be largely attributed to a number of factors, including a good marketing campaign, innovative tariff schedules, better planning and management, and so on. Lessons learned from this experiment are useful for policy-making purposes in other developing countries of Africa and Asia
Dostal, Hannah M.; Robinson, Richard
Mathematical literacy includes learning to read and write different types of mathematical texts as part of purposeful mathematical meaning making. Thus in this article, we describe how learning to read and write mathematical texts (proof text, algorithmic text, algebraic/symbolic text, and visual text) supports the development of students'…
Gemin, Butch; Pape, Larry; Vashaw, Lauren; Watson, John
Online learning has steadily become a more integral strategy for schools and districts in their efforts to offer students greater access to the courses they need. Where in the past, much of the online learning activity happened at the state level or regional level, more and more schools are exercising greater control over their online and digital…
Russell, Carol; Malfroy, Janne; Gosper, Maree; McKenzie, Jo
As learning technologies are now integral to most higher education student learning experiences, universities need to make strategic choices about what technologies to adopt and how to best support and develop the use of these technologies, particularly in a climate of limited resources. Information from students is therefore a valuable…
Wolf, Mary Ann; Jones, Rachel; Hall, Sara; Wise, Bob
The field of learning analytics is being discussed in many circles as an emerging concept in education. In many districts and states, the core philosophy behind learning analytics is not entirely new; for more than a decade, discussions of data-driven decision making and the use of data to drive instruction have been common. Still, the U.S.…
D. Zambrano (Davide); P.R. Roelfsema; S.M. Bohte (Sander)
htmlabstractAs living organisms, one of our primary characteristics is the ability to rapidly process and react to unknown and unexpected events. To this end, we are able to recognize an event or a sequence of events and learn to respond properly. Despite advances in machine learning, current
Di Biase, Rhonda
Challenges of implementing active-learning reform have been reported across a range of countries and include the need for greater attention to contextual factors and practical realities in the reform process. This study investigates how teachers enact active-learning pedagogy within the Maldives. Using design-based research, it explores--through…
How much a policy is expected to cost and who will be bearing the brunt of it play a significant role in the debates that shape regulations. We do not have a good track record of predicting costs, but a systematic review of past assessments has identified the factors that lead to errors. A wide range of expected costs of climate policy have been hotly debated, but all are likely to be wrong. This does not mean that we should continue a debate using ill informed analyses. On the contrary, we need early small experiments to shed light on key unknowns. Climate policy is a long-term challenge and an adaptive regulatory approach promises to inform policy targets and improve GHG controls by through sequential regulatory phases that promote: innovation, flexibility and diffusion of best technologies
Western Indian Ocean Journal of Marine Science ... The Food and Agricultrual Organization (FAO) compiles statistical reports from its member countries, ... management policies on resource conservation for the benefit of coastal communities.
Full Text Available Biblical education as a holistic process goes far beyond biblical learning. It must be understood as a lifelong process, in which both biblical texts and their understanders operate appropriating their counterpart in a dialogical way. – Neither does the recipient’s horizon of understanding appear as an empty room, which had to be filled with the text only, nor is the latter a dead material one could only examine cognitively. The recipient discovers the meaning of the biblical text recomposing it by existential appropriation. So the text is brought to live in each individual reality. Both scientific insights and subjective structures as well as the understanders’ community must be included to avoid potential one-sidednesses. Unfortunately, a special negative association obscures the approach of the bible very often: Still biblical work as part of religious education appears in a cognitively oriented habit, which is neither regarding the vitality and sovereignty of the biblical texts nor the students’ desire for meaning. Moreover, the bible is getting misused for teaching moral terms or pontifications. Such downfalls can be disrupted by biblical didactics which are empowerment didactics. Regarding the sovereignty of biblical texts, these didactics assist the understander with his/her individuation by opening the texts with focus on the understander’s otherness. Thus each the text and the recipient become subjects in a dialogue. The approach of the Biblical-Enabling-Didactics leads the Bible to become always new a book of life. Understanding them from within their hermeneutics, empowerment didactics could be raised to the principle of biblical didactics in general and grow into an essential element of holistic education.
Miyamae, Atsushi; Sakuma, Jun; Ono, Isao; Kobayashi, Shigenobu
The stabilization control of nonholonomic systems have been extensively studied because it is essential for nonholonomic robot control problems. The difficulty in this problem is that the theoretical derivation of control policy is not necessarily guaranteed achievable. In this paper, we present a reinforcement learning (RL) method with instance-based policy (IBP) representation, in which control policies for this class are optimized with respect to user-defined cost functions. Direct policy search (DPS) is an approach for RL; the policy is represented by parametric models and the model parameters are directly searched by optimization techniques including genetic algorithms (GAs). In IBP representation an instance consists of a state and an action pair; a policy consists of a set of instances. Several DPSs with IBP have been previously proposed. In these methods, sometimes fail to obtain optimal control policies when state-action variables are continuous. In this paper, we present a real-coded GA for DPSs with IBP. Our method is specifically designed for continuous domains. Optimization of IBP has three difficulties; high-dimensionality, epistasis, and multi-modality. Our solution is designed for overcoming these difficulties. The policy search with IBP representation appears to be high-dimensional optimization; however, instances which can improve the fitness are often limited to active instances (instances used for the evaluation). In fact, the number of active instances is small. Therefore, we treat the search problem as a low dimensional problem by restricting search variables only to active instances. It has been commonly known that functions with epistasis can be efficiently optimized with crossovers which satisfy the inheritance of statistics. For efficient search of IBP, we propose extended crossover-like mutation (extended XLM) which generates a new instance around an instance with satisfying the inheritance of statistics. For overcoming multi-modality, we
Vogler, Sabine; Paris, Valérie; Ferrario, Alessandra; Wirtz, Veronika J; de Joncheere, Kees; Schneider, Peter; Pedersen, Hanne Bak; Dedet, Guillaume; Babar, Zaheer-Ud-Din
This article discusses pharmaceutical pricing and reimbursement policies in European countries with regard to their ability to ensure affordable access to medicines. A frequently applied pricing policy is external price referencing. While it provides some benchmark for policy-makers and has been shown to be able to generate savings, it may also contribute to delay in product launch in countries where medicine prices are low. Value-based pricing has been proposed as a policy that promotes access while rewarding useful innovation; however, implementing it has proven quite challenging. For high-priced medicines, managed-entry agreements are increasingly used. These agreements allow policy-makers to manage uncertainty and obtain lower prices. They can also facilitate earlier market access in case of limited evidence about added therapeutic value of the medicine. However, these agreements raise transparency concerns due to the confidentiality clause. Tendering as used in the hospital and offpatent outpatient sectors has been proven to reduce medicine prices but it requires a robust framework and appropriate design with clear strategic goals in order to prevent shortages. These pricing and reimbursement policies are supplemented by the widespread use of Health Technology Assessment to inform decision-making, and by strategies to improve the uptake of generics, and also biosimilars. While European countries have been implementing a set of policy options, there is a lack of thorough impact assessments of several pricing and reimbursement policies on affordable access. Increased cooperation between authorities, experience sharing and improving transparency on price information, including the disclosure of confidential discounts, are opportunities to address current challenges.
Haby Michelle M
Full Text Available Abstract Background Interest in community-based interventions (CBIs for health promotion is increasing, with a lot of recent activity in the field. This paper aims, from a state government perspective, to examine the experience of funding and managing six obesity prevention CBIs, to identify lessons learned and to consider the implications for future investment. Specifically, we focus on the planning, government support, evaluation, research and workforce development required. Methods The lessons presented in this paper come from analysis of key project documents, the experience of the authors in managing the projects and from feedback obtained from key program stakeholders. Results CBIs require careful management, including sufficient planning time and clear governance structures. Selection of interventions should be based on evidence and tailored to local needs to ensure adequate penetration in the community. Workforce and community capacity must be assessed and addressed when selecting communities. Supporting the health promotion workforce to become adequately skilled and experienced in evaluation and research is also necessary before implementation. Comprehensive evaluation of future projects is challenging on both technical and affordability grounds. Greater emphasis may be needed on process evaluation complemented by organisation-level measures of impact and monitoring of nutrition and physical activity behaviours. Conclusions CBIs offer potential as one of a mix of approaches to obesity prevention. If successful approaches are to be expanded, care must be taken to incorporate lessons from existing and past projects. To do this, government must show strong leadership and work in partnership with the research community and local practitioners.
Debate over lower greenhouse gas (GHG) emissions from transportation has included heated discussion about appropriate policies and their cost and feasibility. One prominent policy mechanism, a carbon intensity standard, rates transport fuels based on analysis of lifecycle GHG emissions, and targets lower fuel pool carbon intensity through a market mechanism that uses a system of tradable, bankable credits and deficits. California instituted such a policy -- the Low Carbon Fuel Standard (LCFS) - in 2010, which targets a 10% carbon intensity (CI) reduction by 2020. The program rolled out amid concerns over slow development of new fuels expected to be very low carbon (such as cellulosic) and has faced court challenges that added considerable policy uncertainty. Since the program's start, state transport energy mix has shifted modestly but noticeably. Looking ahead, emerging issues for the program include amendments and re-adoption in response to a court ruling, potential interaction with California's multi-sector cap on carbon emissions (which started covering transport fuels in 2015), and impacts from similar CI standards in other jurisdictions. This study provides an analysis of fuel mix changes since the LCFS was implemented in 2011, and a discussion of emerging issues focusing on policy interaction. Descriptive statistics on alternative fuel use, available fuel pathways, and CI ratings are presented based on data from the California Air Resources Board (which runs the program). They document a shift towards more alternative fuels in a more diverse mix, with lower average CI ratings for most alternative fuel types. Financial incentives for various fuels are compared under the LCFS and the US federal Renewable Fuel Standard; disincentives from conceptually different carbon pricing schemes under the LCFS and the Cap-and-Trade are also outlined. The results provide important information on response to an existing market-based policy mechanism for addressing GHG
Helen M. Hazi
Full Text Available This paper reports on the analysis of state statutes and department of education regulations in fifty states for changes in teacher evaluation in use since the passage of No Child Left Behind Act of 2001. We asked what the policy activity for teacher evaluation is in state statutes and department of education regulations, how these changes in statutes and regulations might affect the practice of teacher evaluation, and what were the implications for instructional supervision from these policy actions. Teacher evaluation statutes and department of education regulations provided the data for this study, using archival records from each state's legislature and education departments that were placed into a comparison matrix based on criteria developed from the National Governors Association (NGA goals for school reform (Goldrick, 2002. Data were analyzed deductively in terms of these criteria for underlying theories of action (Malen, 2005, trends, and likely effects on teacher evaluation and implications for supervision. The majority of states adopted many of the NGA strategies, asserted oversight and involvement in local teacher evaluation practices, decreased the frequency of veteran teacher evaluation, and increased the types of data used in evaluation. Whether or not the changes in teacher evaluation will improve student learning in the long run remains to be seen.
Hansen, Helle Krogh; Rothuizen, Jan Jaap; Molpeceres, Mariangeles
other things because a unilateral focus on the economic aspects may cause dissolution of the social cohesion and decrease in well-being for far too many people. The HEAR ME project aimed at developing strategies for lifelong learning and new roles for older people based on their competences, network...... in involvement of older people in voluntary social work as mentors for young people. The challenge of the ageing societies is quite often discussed as the ‘burden of the elderly’ and discussed as an economic problem. However, the challenge is not only economical. It is also a social and cultural challenge, among...... and an assumed desire of generativity. Action learning seems to be an appropriate learning concept in relation to keeping older people engaged in the community. The authors thus point at participating and lifelong learning as part of the answers to the demographic challenges, and they suggest what you might call...
van Ewijk, E.; Baud, I.; Bontenbal, M.; Hordijk, M.; van Lindert, P.; Nijenhuis, G.; van Westen, G.
The importance of strengthening local governments is widely recognised as local governments face new challenges against the backdrop of global decentralisation processes. Municipal International Cooperation (MIC) contributes strategically to such processes by peer-to-peer learning within existing
van Ewijk, E.; Baud, I.; Bontenbal, M.; Hordijk, M.; van Lindert, P.; Nijenhuis, G.; van Westen, G.
The importance of strengthening local governments is widely recognised as local governments face new challenges against the backdrop of global decentralisation processes. Municipal International Cooperation (MIC) contributes strategically to such processes by peer-to-peer learning within existing
Mackerron, G. [SPRU Science and Technology Policy Research, University of Sussex, Brighton (United Kingdom); Berkhout, F. [Institute for Environmental Studies IVM, VU University, Amsterdam (Netherlands)
Over the course of 50 years, UK radioactive waste policy change has been coupled with institutional change, without much progress towards the ultimate goal of safe, long-term stewardship of wastes. We explain this history as a search for legitimacy against a shifting context of legitimation needs and deficits. Following Habermas, we argue that legitimation is derived from a process of justificatory discourse. In principle, there must be a reasonable exchange of arguments between diverse parties in society, based on common norms, for legitimacy to be achieved. We show that the work of legitimation in UK radioactive waste policy has moved from a focus on factual validity claims towards an increasing emphasis on deliberative processes. This reframing of legitimation needs explains institutional and policy changes in UK radioactive waste policy. The most recent phase of policy and institutional change, which placed public deliberation about long-term management and disposal options centre-stage, represents a new step towards bridging legitimation deficits. Plans to build new nuclear reactors in the UK based on a more closed 'streamlined' decision process risk reversing the legitimacy gains that have been achieved through growing openness on radioactive waste management.
Rodríguez, Celestino; Grünke, Matthias; González-Castro, Paloma; García, Trinidad; Álvarez-García, David
This comparative study investigated the productivity and the process of written composition in students with and without disabilities between 8 and 16 years of age. Participants were assigned to four groups as follows: (a) 59 with both attention-deficit/hyperactivity disorders (ADHD) and writing learning disabilities (WLD), (b) 40 with ADHD, (c)…
Van Hoover, Cheri
Core competencies for midwifery practice include an understanding of systems of health care delivery and advocacy for legislation and policy initiatives that promote quality in health care. Today's rapidly changing health care environment, due in part to the implementation of the Patient Protection and Affordable Care Act, mandates that midwives possess greater literacy in health policy and comfort with political action than ever before. Frequently disinterested in politics and intimidated by the policymaking process, student midwives lack the foundational knowledge and practical skills needed to meet this professional obligation. The Midwifery Institute of Philadelphia University graduate program educates both student nurse-midwives and student midwives in health policy using an innovative, project-based service-learning approach featuring real-world collaborative experiences. This novel teaching style is ideally suited for instruction at a distance because of the diversity of experience brought to the virtual classroom by students in widely disparate geopolitical locations. As students accomplish measurable objectives within their individually developed projects and reflect with classmates about their experiences, they feel empowered to effect change and report lower perceived barriers to future political engagement. © 2015 by the American College of Nurse-Midwives.
Menditto, Enrica; Orlando, Valentina; Coretti, Silvia; Putignano, Daria; Fiorentino, Denise; Ruggeri, Matteo
Agency is a pervasive feature of the health care market, with doctors acting as agents for both patients and the health care system. In a context of scarce resources, doctors are required to take opportunity cost into account when prescribing treatments, while cost containment policies cannot overlook their active role in determining health care resource allocation. This paper addresses this issue, investigating the effects of cost containment measures in the market of biosimilar drugs that represent a viable and cost-saving strategy for the reduction of health care expenditure. The analysis focuses on a particular region in Italy, where several timely policies to incentivize biosimilar prescribing were launched. Drugs were identified by the anatomical therapeutic chemical classification system. Information about biosimilar drugs and their originator biological products was extracted from the IMS Health regional database. Drug consumption was expressed in terms of counting units, while expenditure was evaluated in Euro (€). The market penetration of biosimilars was analyzed by year and quarterly. In the Campania region of Italy, the effects of cost containment policies, launched between 2009 and 2013, showed the prescription of biosimilars strongly increasing in 2010 until prescribing levels reached and exceeded the market share of the reference biological products in 2012. After a slight reduction, a plateau was observed at the beginning of 2013. At the same time, the use of the originator products had been decreasing until the first quarter of 2011. However, after a 1-year plateau, this trend was reversed, with a new increase in the consumption of the originators observed. Results show that the cost containment policies, applied to cut health expenditure "to cure and not to care", did not produce the cultural change necessary to make these policies effective in the long run. Therefore, top-down policies for cost containment are not successful; rather, a bottom
Seeberg, Henrik Bech; Slothuus, Rune; Stubager, Rune
A premise of the mass–elite linkage at the heart of representative democracy is that voters notice changes in political parties’ policy positions and update their party perceptions accordingly. However, recent studies question the ability of voters accurately to perceive changes in parties...... attention to parties when they visibly change policy position. Second, voters update their perceptions of the party positions much more accurately than would have been expected if they merely relied on a ‘coalition heuristic’ as a rule-of-thumb. These findings imply that under some conditions voters...
Pamela L. Martin
Full Text Available Editor’s note: This paper is a contribution to the ‘Policy Debate’ section of International Development Policy. In this section, academics, policy-makers and practioners engage in a dialogue on global development challenges. Papers are copy-edited but not peer-reviewed. Instead, the initial thematic contribution is followed by critical comments and reactions from scholars and/or policy-makers.In her article ‘Pay to Preserve: The Global Politics of Ecuador’s Yasuní-ITT Proposal’, published in DevPol’s special issue on Energy and Development in 2011, Pamela L. Martin, Associate Professor of Politics at the Coastal Carolina University in Conway, South Carolina, provided a favourable outlook on Ecuador’s innovative environmental governance mechanism. Accordingly, its unique potential lay in its objective of contributing towards sustainable development and social justice and in case of success, the author even predicted a possible replication in other developing countries. Despite its benefits, the initiative was abandoned in 2013. In this paper, Martin revisits the initiative and analyses the reasons for its failure, namely President Correa’s public pursuit of a Plan B, entering into negotiations with oil firms interested to explore the ITT reserves. Moreover, the initiative was in stark competition with the national REDD+ programme, the mainstream policy approach to reduce emissions from deforestation and forest degradation against payments, which is being negotiated under the United Nations Framework Convention on Climate Change (UNFCCC.Pamela L. Martin’s article is followed by a response by Dr. Imme Scholz, Deputy Director of the German Development Institute/Deutsches Institut für Entwicklungspolitik (DIE. She examines why Germany, as the largest European donor, withdrew its support for the Yasuní-ITT Initiative.Readers who are intetested are invited to contribute to this policy debate on our blog .Download the whole
This survey analyses the political context, the legislative frameworks and the policy developments in an area that is now widely termed 'work-life balance' in both the United Kingdom and Germany. It also looks at the theoretical notions of time in relation to work and family life and gives examples of research in the public, private and voluntary sector.
This paper reviews recent research on the determinants of educational outcomes and the impact of those outcomes on other socioeconomic phenomena. It investigates the relationship between education and economic growth and development in emerging countries. The paper addresses school policies that are most cost-effective in producing students with…
Hough, Heather J.
This policy brief reviews the recent experience of the San Francisco Unified School District (SFUSD) with the development and approval of Proposition A. Proposition A (also known as the Quality Teacher and Education Act, or QTEA) included a parcel tax mainly dedicated to increasing teachers' salaries, along with a variety of measures introducing…
Feichtinger, G.; Hartl, R.F.; Kort, P.M.; Veliov, V.
In this paper the e.ect of environmental policy on the composition of capital is investigated.By allowing for non-linearities it generalizes Xepapadeas and De Zeeuw (Journal of Environmental Economics and Management, 1999) and determines scenarios in which their results do not carry over.In
Drago-Severson, Eleanor; Maslin-Ostrowski, Patricia
Background/Context: Worldwide, principals face enormous challenges while translating policies and mandates for which they are accountable into their mission and practice. While some of these school-level challenges are technical, many are adaptive (Heifetz), requiring leaders and those in their care to grow their cognitive and affective…
Cashman, Timothy G.
This study provides an analysis of data collected from Chihuahua, Mexico, and Ontario, Canada, educators on how United States (U. S.) policies are taught and discussed in their classrooms. Teachers and administrators were interviewed with regard to their respective curricula and classroom discussions. The researcher sought to gain insight on how…
Bullough, Robert V., Jr.; Hall-Kenyon, Kendra M.
Federal policy changes for Head Start (HS) elevate the importance of measured academic performance over other traditional program aims, particularly those associated with the social-emotional development of children. Concerned about the possible effects of these changes on children, based on observations and interviews, detailed portraits of…
Zakaras, Laura; Lowell, Julia F.
The findings summarized in this report are intended to shed light on what it means to cultivate demand for the arts, why it is necessary and important to cultivate this demand, and what state arts agencies (SAAs) and other arts and education policymakers can do to help. The research considered only the benchmark arts central to public policy:…
Goe, Laura; Biggers, Kietha; Croft, Andrew
Recently, teacher evaluation has become a major focus in educational policy debates and research efforts. This increased attention to teacher evaluation has raised questions about the relationship between evaluation and student outcomes. Rivkin, Hanushek, and Kain (2005) and others have demonstrated with value-added research that there are…
Edwards, D. Brent, Jr.; Okitsu, Taeko; da Costa, Romina; Kitamura, Yuto
In the field of global education policy, it is common for scholars to reflect on the progress made toward internationally agreed-upon agendas, such as Education for All (EFA). However, scant research has turned the gaze back on the major multilateral institutions that commit to taking the lead in meeting these agendas in order to ask, what…
Isett, Kimberley Roussin; Laugesen, Miriam J; Cloud, David H
To ascertain any lessons learned about how public health reforms undertaken in New York City during the Bloomberg Administration were shepherded through the public policy and administration gauntlet. The question is, how feasible is this approach and would it work outside of New York City? Using a theoretically grounded case study approach, 3 initiatives were examined that were proposed and/or implemented during a 10-year period of the Mayoralty of Michael Bloomberg (2002-2011): transfats restrictions, clean bus transportation policies, and a sugar-sweetened beverages tax (as a counterfactual). The investigation began by performing a comprehensive public documents search and was followed with interviews of 27 individuals involved in the selected policy initiatives. Interviews were coded in Nvivo using an iterative, grounded methodology. Using a theoretical lens, the case study illustrates that the multifaceted role of leadership was not confined to the executives in the City or the Agency. Instead, leadership extended to other administrative officials within the agency and the Board of Health. Second, New York City used reorganization and coordinative mechanisms strategically to ensure achievement of their goals. This included creation of new departments/bureaus and coordinating structures across the City. Evidence of the explicit use of incentives, as initially anticipated from the theoretical framework, was not found. While some aspects of this case study are unique to the context of New York City, 2 approaches used in New York City are feasible for other jurisdictions: harnessing the full scope and breadth of authority of the agency and its associated boards and commissions, and remobilizing existing workforce to explicitly focus on and coordinate targeted policies for issues of concern. Questions for further consideration are posed at the conclusion of the article.
Full Text Available Abstract Background Little is known about the process of knowledge translation in low- and middle-income countries. We studied policymaking processes in Mozambique, South Africa and Zimbabwe to understand the factors affecting the use of research evidence in national policy development, with a particular focus on the findings from randomized control trials (RCTs. We examined two cases: the use of magnesium sulphate (MgSO4 in the treatment of eclampsia in pregnancy (a clinical case; and the use of insecticide treated bed nets and indoor residual household spraying for malaria vector control (a public health case. Methods We used a qualitative case-study methodology to explore the policy making process. We carried out key informants interviews with a range of research and policy stakeholders in each country, reviewed documents and developed timelines of key events. Using an iterative approach, we undertook a thematic analysis of the data. Findings Prior experience of particular interventions, local champions, stakeholders and international networks, and the involvement of researchers in policy development were important in knowledge translation for both case studies. Key differences across the two case studies included the nature of the evidence, with clear evidence of efficacy for MgSO4 and ongoing debate regarding the efficacy of bed nets compared with spraying; local researcher involvement in international evidence production, which was stronger for MgSO4 than for malaria vector control; and a long-standing culture of evidence-based health care within obstetrics. Other differences were the importance of bureaucratic processes for clinical regulatory approval of MgSO4, and regional networks and political interests for malaria control. In contrast to treatment policies for eclampsia, a diverse group of stakeholders with varied interests, differing in their use and interpretation of evidence, was involved in malaria policy decisions in the three
Naceur, Abdelmajid; Schiefele, Ulrich
The present work examined the influence of topic interest on the strength of different components of text representation and long-term retention according to the model of text processing by van Dijk and Kintsch (1983). A Series of relevant personality characteristics were assessed to control for alternative explanations of interest effect, A total…
McGee, Patricia; Diaz, Veronica
In an era of state budget cuts and a tight economy, distributed learning is often seen as a way to address the needs of colleges and universities looking for additional revenue sources. Likewise, budding virtual universities, consortia, and corporate partnerships are now providing new ways for institutions to share resources across campuses. The…
and global access: 20 “We believe that all the hype surrounding the capabilities of information technologies have led us to develop a dangerous...System and Navy eLearning should be sought and made available. In addition, three existing concepts, already being used in other Air Force arenas, are
Birenbaum, Menucha; DeLuca, Christopher; Earl, Lorna; Heritage, Margaret; Klenowski, Val; Looney, Anne; Smith, Kari; Timperley, Helen; Volante, Louis; Wyatt-Smith, Claire
This paper discusses the emergence of assessment for learning (AfL) across the globe with particular attention given to Western educational jurisdictions. Authors from Australia, Canada, Ireland, Israel, New Zealand, Norway, and the USA explain the genesis of AfL, its evolution and impact on school systems, and discuss current trends in policy…
Chung, Hsiu-Ying; Lee, Gwo-Guang; Liu, Shih-Hwa
The work quality of public servants direct affects a country's administrative performance, and the Taiwan government has recently invested a considerable amount of funds in constructing e-government learning platforms and developing digital courses to provide all public servants with sufficient on-the-job training and enhance the quality of human…
Hungi, Njora; Ngware, Moses; Mahuro, Gerald; Muhia, Nelson
The paper uses multilevel analysis procedures to examine individual- and group-level learning barriers that have the greatest impact on pupil achievement in Uganda. The data for this study were collected in 2014 among 2711 Grade 6 pupils attending 82 schools in two rural districts of Iganga and Mayuge in Uganda. Data used in this paper are part of…
Researchers in China have keenly explored how lifelong education and lifelong learning, as imports from "the West," may become localized in China, although a small chorus has also tried to revitalize Confucianism to bear on the field. This paper adds to this domain of discussion with a critical discourse analysis of Chinese lifelong…
Cekaite, Asta; Evaldsson, Ann-Carita
In this study we argue that a focus on language learning ecologies, that is, situations for participation in various communicative practices, can shed light on the intricate processes through which minority children develop or are constrained from acquiring cultural and linguistic competencies (here, of a majority language). The analysis draws on…
Leek, Danielle R.
National offices and organizations, such as the U.S. Department of Education and the Association of American Colleges & Universities, have called for higher education curriculum that better prepares students for lifelong civic engagement. Many institutions respond to this appeal by creating more service-learning opportunities for students.…
Acevedo, Gladys Lopez
This paper examines the impact on student learning of the Programa para Abatir el Rezago Educativo (PARE), which aimed to improve the quality and efficiency of primary education in four Mexican states by increasing school resources. PARE was implemented in the states of Oaxaca, Guerrero, Chiapas, and Hidalgo, which have the highest incidence of…
Conclusion: In order to have effective application, health policy principles should be coordinated with other forms of diplomacy and also be placed at the top of all key stakeholders’ affairs including the Ministry of Health and other organizations effective on the health. Thus, to achieve the Millennium Development Goals and to escape from the problems based on the objectives of Vision 2025; this approach will solve many problems.
Shafaeddin, Mehdi; Gallaher, Kevin
Abstract Previous work has shown that the results of both China and Mexico’s export-led market reforms over the past quarter century have been strikingly different. In contrast to China, Mexico has not managed to increase the value added of its exports of manufactured goods and has subsequently had a difficult time competing with China in world markets. Building on this previous work, in this paper we conduct a comparative analysis of the role of government policies in industrial learnin...
Hans-Dieter Evers; ZEF University of Bonn; Solvay Gerke; Centre for Development Research, University of Bonn
Regional science policy aims to create productive knowledge clusters, which are central places within an epistemic landscape of knowledge production and dissemination. These so-called K-clusters are said to have the organisational capability to drive innovations and create new industries. Many governments have used cluster formation as one of their development strategies. This paper looks at Malaysia's path towards a knowledge-based economy and offers some evidence on the current state of kno...
Borgermans, Liesbeth; Devroey, Dirk
Efforts are underway in many European countries to channel efforts into creating improved integrated health and social care services. But most countries lack a strategic plan that is sustainable over time, and that reflects a comprehensive systems perspective. The Policy Guide on Integrated Care (PGIC) as presented in this paper resulted from experiences with the EU Project INTEGRATE and our own work with healthcare reform for patients with chronic conditions at the national and international level. This project is one of the largest EU funded projects on Integrated Care, conducted over a four-year period (2012-2016) and included partners from nine European countries. Project Integrate aimed to gain insights into the leadership, management and delivery of integrated care to support European care systems to respond to the challenges of ageing populations and the rise of people living with long-term conditions. The objective of this paper is to describe the PGIC as both a tool and a reasoning flow that aims at supporting policy makers at the national and international level with the development and implementation of integrated care. Any Policy Guide on Integrated should build upon three building blocks, being a mission, vision and a strategy that aim at capturing the large amount of factors that directly or indirectly influence the successful development of integrated care.
Full Text Available Text mining deals with complex and unstructured texts. Usually a particular collection of texts that is specified to one or more domains is necessary. We have developed a customizable text classifier for users to mine the collection automatically. It derives from the sentence category of the HNC theory and corresponding techniques. It can start with a few texts, and it can adjust automatically or be adjusted by user. The user can also control the number of domains chosen and decide the standard with which to choose the texts based on demand and abundance of materials. The performance of the classifier varies with the user's choice.
Learning by doing leads to cost reductions as suppliers move down the 'experience curve'. This results in a beneficial supply side inter-temporal externality that, for dynamic efficiency, requires a higher incentive for abatement innovations than the penalty on emissions. This effect can be achieved by a dedicated emissions tax or by a proportionate abatement obligation or by allocating permits usefully. The latter arrangement is compatible with the effective cap on emissions that is secured by an emissions trading scheme. Each of the three possibilities results in a reduced loss of international competitivity in policy-committed regions, in less 'leakage, and in more technology transfer. Implications for trading in emissions permits and in project-related credits are discussed. (Author)
Kydd, Andrew H. [Department of Political Science, University of Wisconsin, 110 North Hall, 1050 Bascom Mall, Madison, WI 53706 (United States)
Standard models of uncertainty in economics imply that sharing information can reduce uncertainty and help identify welfare improving policies. In international relations, 'epistemic communities' of scientists are thought to help provide information for these purposes. However, conflicting preferences can frustrate the transmission of information and prevent effective information sharing. In addition, opportunities for information sharing can deepen distrust as actors observe each other's reaction to what to them is credible information. A model that assumes uncertainty both about the state of the world and the parties' motivations is applied to international climate change negotiations. (author)
Kydd, Andrew H., E-mail: firstname.lastname@example.org [Department of Political Science, University of Wisconsin, 110 North Hall, 1050 Bascom Mall, Madison, WI 53706 (United States)
Standard models of uncertainty in economics imply that sharing information can reduce uncertainty and help identify welfare improving policies. In international relations, 'epistemic communities' of scientists are thought to help provide information for these purposes. However, conflicting preferences can frustrate the transmission of information and prevent effective information sharing. In addition, opportunities for information sharing can deepen distrust as actors observe each other's reaction to what to them is credible information. A model that assumes uncertainty both about the state of the world and the parties' motivations is applied to international climate change negotiations.
Kydd, Andrew H.
Standard models of uncertainty in economics imply that sharing information can reduce uncertainty and help identify welfare improving policies. In international relations, 'epistemic communities' of scientists are thought to help provide information for these purposes. However, conflicting preferences can frustrate the transmission of information and prevent effective information sharing. In addition, opportunities for information sharing can deepen distrust as actors observe each other's reaction to what to them is credible information. A model that assumes uncertainty both about the state of the world and the parties' motivations is applied to international climate change negotiations. (author)
Schaeffer, G.J.; Seebregts, A.J.; Beurskens, L.W.M.; De Moor, H.H.C.; Alsema, E.; Sark, W.; Durstewicz, M.; Perrin, M.; Boulanger, P.; Laukamp, H.; Zuccaro, C.
Since the 1990s energy policy scientists have started to explore the possibilities of using the experience curve approach for energy policy making. The concept of the experience curve is simple, at least in principle. It states that, for every doubling of cumulative produced capacity of a product or technology, the cost for making it declines with a fixed percentage (learning rate). Historical statistical analysis can be used to define this percentage. Extrapolating the trend thus found, into the future will then give relevant information about future cost developments and will also give information how much 'learning money' will be needed to get to the break-even point. The Photex project used the development of solar PV as a case to further explore this approach, and also to deduce lessons for PV policy. Other aims were to look at learning rates of the different components of PV-systems and to combine the experience curve analyses with bottom-up engineering studies. The main conclusion with regard to the use of experience curves for energy policy making is that this is an interesting approach, but that such an analysis should be done with much care. For the historical analysis the availability of reliable and firm data is essential. As cost data often are not available, price data could be used as a proxy, as long as sufficient long time ranges are used. Also, the analyst should take care he considers the right learning system boundaries. Furthermore the number of years to be included in the statistical analysis should at least be 10 years and this period sample should not over-represent stable price periods or periods of steep price decline. If possible, data uncertainties should be taken into account as well. An interesting finding was that, at least in the case of PV, the learning rate is not a constant, but can vary over time. In the case of PV it improved from 20% to 23%. Extrapolations into the future should take uncertainties into account and always be
Full Text Available Mexico, like many low- and middle-income countries (LMICs, faces an epidemic of chronic non-communicable diseases (NCDs, specifically diabetes, hypertension, obesity, and lipid disorders. Many people with these NCDs may not be aware that they have a disease, pointing to the need for broader screening programs. The traditional prevention policy in Mexico was based on screening with a paper-based risk factor questionnaire. However, this was used to screen patients already seeking healthcare services at facilities, and screening goals were set as a function of the number of questionnaires applied, not number of individuals screened. Due to this, Fundación Carlos Slim developed Medición Integrada para la Detección Oportuna (MIDOTM, or Integrated Measurement for Early Detection, an NCD screening and proactive prevention policy. This document is a policy analysis based on early learnings from the initial implementation of MIDO in eight primary healthcare centers in two central Mexican states. MIDO was found to expand screening programs beyond clinic walls, systematize community screening strategies, emphasize the detection of pre-disease phases, incorporate lifestyle counseling, and propose screening goals based on population targets. In collaboration with the Mexican Ministry of Health, MIDO has successfully screened over 500 000 individuals—about 40% of whom would not have been screened under previous policies. Of these more than 500 000 screened individuals, 13.4% had pre-diabetes (fasting glucose between 100 and 125 mg/dL, and 5.8% had undiagnosed diabetes (defined as fasting glucose above 126 mg/dL or random glucose above 200 mg/dL. However, there is still room for improvement in linking positive results from screening with disease confirmation and with patient incorporation into disease management. The experience of implementing MIDO in Mexico suggests that primary and secondary prevention programs in other parts of the world should
Weisberg, Renee; Balajthy, Ernest
A study investigated transfer effects of training below average high school readers in the use of graphic organizers and summary writing on their recognition of compare/contrast text structure. Subjects, 32 high school students with below-expectancy standardized test scores, were placed in two groups: an experimental group (five males and 11…
Schuler, Anne; Scheiter, Katharina; Rummer, Ralf; Gerjets, Peter
The study examined whether the modality effect is caused by either high visuo-spatial load or a lack of temporal contiguity when processing written text and pictures. Students (N = 147) viewed pictures on the development of tornados, which were accompanied by either spoken or written explanations presented simultaneously with, before, or after the…
Litman, Cindy; Marple, Stacy; Greenleaf, Cynthia; Charney-Sirott, Irisa; Bolz, Michael J.; Richardson, Lisa K.; Hall, Allison H.; George, MariAnne; Goldman, Susan R.
This study presents a descriptive analysis of 71 videotaped lessons taught by 34 highly regarded secondary English language arts, history, and science teachers, collected to inform an intervention focused on evidence-based argumentation from multiple text sources. Studying the practices of highly regarded teachers is valuable for identifying…
Previous research suggests that multiple representations can improve science reading comprehension. This facilitation effect is premised on the observation that readers can efficiently integrate information in text and diagram formats; however, this effect in young readers is still contested. Using eye-tracking technology and sequential analysis,…
Braten, Ivar; Ferguson, Leila E.; Anmarkrud, Oistein; Stromso, Helge I.
Sixty-five Norwegian 10th graders used the software Read&Answer 2.0 (Vidal-Abarca et al., 2011) to read five different texts presenting conflicting views on the controversial scientific issue of sun exposure and health. Participants were administered a multiple-choice topic-knowledge measure before and after reading, a word recognition task,…
Lin, Frank Po-Yen; Pokorny, Adrian; Teng, Christina; Epstein, Richard J
Vast amounts of clinically relevant text-based variables lie undiscovered and unexploited in electronic medical records (EMR). To exploit this untapped resource, and thus facilitate the discovery of informative covariates from unstructured clinical narratives, we have built a novel computational pipeline termed Text-based Exploratory Pattern Analyser for Prognosticator and Associator discovery (TEPAPA). This pipeline combines semantic-free natural language processing (NLP), regular expression induction, and statistical association testing to identify conserved text patterns associated with outcome variables of clinical interest. When we applied TEPAPA to a cohort of head and neck squamous cell carcinoma patients, plausible concepts known to be correlated with human papilloma virus (HPV) status were identified from the EMR text, including site of primary disease, tumour stage, pathologic characteristics, and treatment modalities. Similarly, correlates of other variables (including gender, nodal status, recurrent disease, smoking and alcohol status) were also reliably recovered. Using highly-associated patterns as covariates, a patient's HPV status was classifiable using a bootstrap analysis with a mean area under the ROC curve of 0.861, suggesting its predictive utility in supporting EMR-based phenotyping tasks. These data support using this integrative approach to efficiently identify disease-associated factors from unstructured EMR narratives, and thus to efficiently generate testable hypotheses.
Nist, Sherrie L.
Of all the effective strategies available to college developmental reading students, annotating (noting important ideas or examples in text margins) and underlining have the widest appeal among students and the most practical application in any course. Annotating/underlining serves a dual function: students can isolate key ideas at the time of the…
Full Text Available This presentation investigates the typology of learning environments that enable effective school teaching and learning. According to the National Education Policy Act (27/1996),research show that there is a direct link between the physical...
Full Text Available As information technologies evolve, it has become necessary to examine the changes which have taken place in the top business scopes for both investors and entrepreneurs. To provide an understanding for the trends of the top business scopes in the current market, this article conducts a concurrent text and time series methodology to analyze the stocks in the New York Stock Exchange (NYSE and the National Association of Securities Dealers Automated Quotations (NASDAQ from 2012 to 2017. There is evidence that artificial intelligence and blockchains gained increasing importance for companies during that period. The authors contend that their findings in this paper question the status quo of promising business scopes for companies in the U.S. market.
Imholz, R.M.; Hindman, T.B. Jr.; Brubaker, D.M.
Our nation has entered an era in which the public is demanding clean up and restoration of its environment, understandable information, and participation in decision making. The US Department of Energy's (DOE's) culture, which grew out of the Atomic Energy Commission (AEC) culture of classification, compartmentalization, and strict-need-to-know dissemination of information, was in direct conflict with this demand for public involvement. The DOE recognized this and committed to changing their culture into one of openness and public involvement in decision making and policy direction. This paper reports that as a result, DOE created a number of external review groups, one of them being the State and Tribal Government Working Group (STGWG). The STGWG was created to review the first Environmental Restoration and Waste Management Five-Year Plan. The Five-Year Plan establishes an agenda for compliance and cleanup of DOE installations against which progress can be measured
Kaufman, Cathy C.
All 21st century societies face the dilemma of reforming educational systems to meet changing social demands. In order to enable new beginnings to be made, this article examines the ending of reform efforts in the former Soviet Union immediately prior to the establishment of the Commonwealth of Independent States. Educational policy had followed a shifting course under changing Soviet leadership, much supposed reform consisting of little more than reworked statements of intent. In the second half of the 1980's, more serious attempts were made to raise enrollment of six-year olds, to upgrade instructional materials and teaching quality, and to redesign vocational education. Inadequate facilities and resources, lack of trained personnel, promotion on non-educational grounds, economic hardship and bureaucratic resistance hindered these reforms. As successor states to the Soviet Union — and others — face structural change, knowledge of why certain reforms were previously resisted will help future planning.
Moltke, A. von; McKee, C.; Morgan, T.
This book, which is based on the work carried out by the International Energy Agency and UNEP, explores the potential impacts of energy subsidies and provides guidelines for policy makers on how to implement reform of energy subsides. The background on energy subsidies is traced and an analytical framework is presented covering defining and measuring energy subsidies, the size of the subsidies, and analysis of the impact of subsidies and their reform. Energy subsidies in OECD countries, Czech and Slovak Republics, Russia, India, Indonesia, Korea, Iran and Senegal are examined along with the impact of removing energy subsidies in Chile, the findings of country case studies, and the design and implementation of energy subsidies reforms. Methodological approaches to analysing the economic, environmental and social effects of energy subsidy reform are considered in the Annex
Kubert, Charles [Clean Energy States Alliance, Montpelier, VT (United States); Sinclair, Mark [Clean Energy States Alliance, Montpelier, VT (United States)
Proposed federal clean energy initiatives and climate legislation have suggested significant increases to federal funding for clean energy deployment and investment. Many states and utilities have over a decade of experience and spend billions of public dollars every year to support EE/RE deployment through programs that reduce the cost of technologies, provide financing for EE/RE projects, offer technical assistance, and educate market participants. Meanwhile, constraints on public expenditures at all levels of government continue to call upon such programs to demonstrate their value. This report reviews the results of these programs and the specific financial incentives and financing tools used to encourage clean energy investment. Lessons from such programs could be used to inform the future application of EE/RE incentives and financing tools. These lessons learned apply to use of distributed resources and the historical focus of these EE/RE programs.
Kubert, C.; Sinclair, M.
Proposed federal clean energy initiatives and climate legislation have suggested significant increases to federal funding for clean energy deployment and investment. Many states and utilities have over a decade of experience and spend billions of public dollars every year to support EE/RE deployment through programs that reduce the cost of technologies, provide financing for EE/RE projects, offer technical assistance, and educate market participants. Meanwhile, constraints on public expenditures at all levels of government continue to call upon such programs to demonstrate their value. This report reviews the results of these programs and the specific financial incentives and financing tools used to encourage clean energy investment. Lessons from such programs could be used to inform the future application of EE/RE incentives and financing tools. These lessons learned apply to use of distributed resources and the historical focus of these EE/RE programs.
Huang, Ying-Syuan; Asghar, Anila
This empirical study investigates secondary science teachers' perspectives on science education reform in Taiwan and reflects how these teachers have been negotiating constructivist and learner-centered pedagogical approaches in contemporary science education. It also explores the challenges that teachers encounter while shifting their pedagogical focus from traditional approaches to teaching science to an active engagement in students' learning. Multiple sources of qualitative data were obtained, including individual interviews with science teachers and teachers' reflective journals about Confucianism in relation to their educational philosophies. Thematic analysis and constant comparative method were used to analyze the data. The findings revealed that Confucian traditions play a significant role in shaping educational practices in Taiwan and profoundly influence teachers' epistemological beliefs and their actual classroom practice. Indeed, science teachers' perspectives on Confucian learning traditions played a key role in supporting or obstructing their pedagogical commitments to inquiry-based and learner-centered approaches. This study draws on the literature concerning teachers' professional struggles and identity construction during educational reform. Specifically, we explore the ways in which teachers respond to educational changes and negotiate their professional identities. We employed various theories of identity construction to understand teachers' struggles and challenges while wrestling with competing traditional and reform-based pedagogical approaches. Attending to these struggles and the ways in which they inform the development of a teacher's professional identity is vital for sustaining current and future educational reform in Taiwan as well as in other Eastern cultures. These findings have important implications for teachers' professional development programs in East Asian cultures.
Spencer, Brenda H.
Notes that a text map is an instructional approach designed to help students gain fluency in reading content area materials. Discusses how the goal is to teach students about the important features of the material and how the maps can be used to build new understandings. Presents the procedures for preparing and using a text map. (SG)
Distance Education and Open Learning in Sub-Saharan Africa: Criteria and Conditions for Quality and Critical Success Factor-- Working Group on Distance Education and Open Learning. A Survey of Policy and Practice. Final Report
Commonwealth of Learning, 2004
Both of these "Surveys of policy and practice" were conducted on behalf of COL by the South African Institute for Distance Education (SAIDE) as part of COL's partnership agreement with the Association for the Development of Education in Africa (ADEA) Working Group on Distance Education and Open Learning. The first report identifies…
Full Text Available Nowadays learning technologies transformed educational systems with impressive progress of Information and Communication Technologies (ICT. Furthermore, when these technologies are available, affordable and accessible, they represent more than a transformation for people with disabilities. They represent real opportunities with access to an inclusive education and help to overcome the obstacles they met in classical educational systems. In this paper, we will cover basic concepts of e-accessibility, universal design and assistive technologies, with a special focus on accessible e-learning systems. Then, we will present recent research works conducted in our research Laboratory LaTICE toward the development of an accessible online learning environment for persons with disabilities from the design and specification step to the implementation. We will present, in particular, the accessible version “MoodleAcc+” of the well known e-learning platform Moodle as well as new elaborated generic models and a range of tools for authoring and evaluating accessible educational content.
Carnes, S.A.; Reed, R.M.
One of the first government-sponsored demands for integrated assessment to support decision making in the United States is embodied in the National Environmental Policy Act of 1969 (NEPA). Over the past 25 years, Oak Ridge National Laboratory (ORNL) has supported federal agencies` in evaluating health and environmental impacts as required by NEPA. Many of ORNL`s efforts have focused on complex, programmatic assessments that break new ground and require and integrate expertise from a wide range of technical disciplines. Examples of ORNL projects that illustrate the use of integrated assessment approaches include environmental documentation for: (1) the Department of the Army`s Chemical Stockpile Disposal Program, (2) the Federal Energy Regulatory Commission`s licensing activities related to the Owens River Basin in eastern California and along a 500-mile reach of the upper Ohio River, and (3) the Nuclear Regulatory Commission`s decision regarding restart of the undamaged reactor (Unit 1) at Three Mile Island. Our discussion of these examples illustrates successful integrated assessment approaches and identifies new challenges facing integrated assessment activities.
Harmelink, Mirjam; Harmsen, Robert; Nilsson, Lars
This article presents the results of an in-depth ex-post analysis of 20 energy efficiency policy instruments applied across different sectors and countries. Within the AID-EE project, we reconstructed and analysed the implementation process of energy efficiency policy instruments with the aim to identify key factors behind successes and failures. The analysis was performed using a uniform methodology called 'theory based policy evaluation'. With this method the whole implementation process is assessed with the aim to identify: (i) the main hurdles in each step of the implementation process, (ii) key success factors for different types of instruments and (iii) the key indicators that need to be monitored to enable a sound evaluation of the energy efficiency instruments. Our analysis shows that: Energy efficiency policies often lack quantitative targets and clear timeframes; Often policy instruments have multiple and/or unclear objectives; The need for monitoring information does often not have priority in the design phase; For most instruments, monitoring information is collected on a regular basis. However, this information is often insufficient to determine the impact on energy saving, cost-effectiveness and target achievement of an instrument; Monitoring and verification of actual energy savings have a relatively low priority for most of the analyzed instruments. There is no such thing as the 'best' policy instrument. However, typical circumstances in which to apply different types of instruments and generic characteristics that determine success or failure can be identified. Based on the assessments and the experience from applying theory based policy evaluation ex-post, we suggest that this should already be used in the policy formulation and design phase of instruments. We conclude that making policy theory an integral and mandated part of the policy process would facilitate more efficient and effective energy efficiency instruments
...). It then presents some of the most widely used data and text mining techniques, including clustering and classification methods, such as nearest neighbor, relational learning models, and genetic...
Nigam, Kamal P
.... This dissertation demonstrates that supervised learning algorithms that use a small number of labeled examples and many inexpensive unlabeled examples can create high-accuracy text classifiers...
Full Text Available This research project was carried out in order to get ninth graders of the departamental school “El Tequendama” involved in their writing tasks and to improve their writing skills, following the process that a professional writer enables students to write cooperatively and reduces their writing anxiety. Cooperative writing enables the participation of students with a mixture of proficiency level, thus providing greater opportunities to make achievements and therefore greater opportunities to be more deeply involved in their writing tasks.Este proyecto de investigación se llevó a cabo con el propósito de lograr que los estudiantes de noveno grado del colegio departamental “El Tequendama” se comprometieran con sus actividades de escritura y mejoraran sus habilidades escriturales. El reproducir el proceso que un escritor realiza permite a los estudiantes escribir cooperativamente y reduce la ansiedad provocada por el acto de escribir. La escritura cooperativa potencia la participación de estudiantes con niveles bajos de dominio, brindándoles mayores oportunidades de lograr mejores resultados y por tanto mayores oportunidades de comprometerse con sus actividades de escritura.
Full Text Available In this study we analyzed and discussed that the MIS-related journals under the ISI subject category of IS&LS are simultaneously given with subject category Management, using methods of topic modeling, journal clustering and subject category prediction. In the experiment of journal clustering, all journals under subject category Management and other journals also having similar topical features can be gathered into a cluster, and “management” is their common and the most distinct topic. Because the journals belonged to this cluster are almost same to those in the MIS clusters generated by the previous studies, we considered it as the MIS cluster in this study. In the second experiment, we used the classification and regression tree (CART technique to predict assignment of subject category with that the journals in the original subject category Management and in the MIS cluster produced in this study as positive examples, respectively. The trees generated by the two tests both used the occurring probabilities of the topic “management” as the main classification rule. However, in the latter test, we did not only obtain a simpler classification tree but also had a result with less predicting errors. This means that if all journals in the MIS cluster could be given with subject category Management, the retrieval results can be more effective and complete.
Full Text Available This qualitative ethnographic study examines a collaborative leadership model focused on learning and socially just practices within a change context of a wide educational partnership. The study analyzes a range of perspectives of novice teachers, mentor teachers, teacher educators and district superintendents on leadership and learning. The findings reveal the emergence of a coalition of leaders crossing borders at all levels of the educational system: local school level, district level and teacher education level who were involved in coterminous collaborative learning. Four categories of learning were identified as critical to leading a change in the educational system: learning in professional communities, learning from practice, learning through theory and research and learning from and with leaders. The implications of the study for policy makers as well as for practitioners are to adopt a holistic approach to the educational environment and plan a collaborative learning continuum from initial pre-service programs through professional development learning at all levels.
Full Text Available There is growing recognition in the health community that the legal environment-including laws, policies, and related procedures-impacts vulnerability to HIV and access to HIV-related services both positively and negatively. Assessing changes in the legal environment and how these affect HIV-related outcomes, however, is challenging, and understanding of appropriate methodologies nascent.We conducted an evaluation of a UNDP project designed to strengthen legal environments to support the human rights of key populations, in particular LGBT populations, women and girls, affected by HIV in sub-Saharan Africa. We analyzed data on activities designed to improve legal environments through a systematic document review and 53 qualitative interviews.The project made substantial strides towards legal change in many places, and examples provide broader lessons for work in this area. Two core pillars appear fundamental: a government-led participatory assessment of the legal environment, and building the capacity of those impacted by and engaged in this work. Systematic attention to human rights is vital: it can help open new spaces for dialogue among diverse stakeholders, foster new collaborations, and ensure local ownership, nuanced understanding of the political landscape, attention to marginalized populations, and accountability for (inaction. Entry points for effecting legal change go beyond "HIV laws" to also include other laws, national policies and strategies.Conducting legal environment assessments, multi-stakeholder dialogues, action planning and related activities, alongside capacity building, can contribute to changes in knowledge and attitudes directly relevant to reforming laws that are found to be harmful. Shorter-term goals along the causal pathway to legal change (e.g. changes in policy can constitute interim markers of success, and recognition of these can maintain momentum. Increasing understanding of progress towards changes in the legal
Keywords: Technology, French as a foreign language, Learners, Instruction ... This translates to an increase of 3.7 percent or 1.4 million new mobile subscriptions ... technology (ICT) in foreign language learning and the availability as well as capacities ..... In spite of the many benefits of creating an authentic French learning ...
The overshadowing of education policies in foreign language education at primary .... Cummins states that a threshold level of linguistics competence must be ..... language education planning is designed to accommodate these interests.
Full Text Available En este artículo se analizan algunos de los aspectos psicosociales de la participación de los ciudadanos en las políticas públicas, con especial atención a la relación entre los agentes internos (AI y agentes externos (AE. Sobre la base de una revisión d e estudios de casos documentados italianos, en varios sectores de la política pública, y sobre la base de la experiencia directa, se enuclean tres temas principales: conflicto, poder y exclusión. La tesis es que la mayoría de los problemas relativos a la r elación entre AI y AE se puede reconducir a dos dimensiones latentes que caracterizan a todos los procesos participativos en las políticas públicas, es decir, la naturaleza paradójica de la participación institucionalizada y la naturaleza tensiva de la rel acion social. Al fin se discuten de las implicaciones para el trabajo de comunidad.
The data used were obtained through questionnaires administered to ... Keywords: academic performance, engineering education, undergraduate students, and .... and commitment to studies irrespective of any form of learning task Yusuf et al.
Fox, Sarah Cleveland
Although the attacks of September 11, 2001, present new challenges and priorities for U.S. policy, it is uncertain what direction international relations will take. China's growth and power, Russia's political and economic problems, resentment and corruption in Russia, and global warming effect policymaking. While the war on terrorism may be a…
Xi, Lei; Yu, Tao; Yang, Bo; Zhang, Xiaoshun
Highlights: • Proposing a decentralized smart generation control scheme for the automatic generation control coordination. • A novel multi-agent learning algorithm is developed to resolve stochastic control problems in power systems. • A variable learning rate are introduced base on the framework of stochastic games. • A simulation platform is developed to test the performance of different algorithms. - Abstract: This paper proposes a multi-agent smart generation control scheme for the automatic generation control coordination in interconnected complex power systems. A novel multi-agent decentralized win or learn fast policy hill-climbing with eligibility trace algorithm is developed, which can effectively identify the optimal average policies via a variable learning rate under various operation conditions. Based on control performance standards, the proposed approach is implemented in a flexible multi-agent stochastic dynamic game-based smart generation control simulation platform. Based on the mixed strategy and average policy, it is highly adaptive in stochastic non-Markov environments and large time-delay systems, which can fulfill automatic generation control coordination in interconnected complex power systems in the presence of increasing penetration of decentralized renewable energy. Two case studies on both a two-area load–frequency control power system and the China Southern Power Grid model have been done. Simulation results verify that multi-agent smart generation control scheme based on the proposed approach can obtain optimal average policies thus improve the closed-loop system performances, and can achieve a fast convergence rate with significant robustness compared with other methods
The present dissertation offers a theoretical integration of the orientation to studying tradition (e.g. Entwistle, 1988, Ramsden, 1988) and theories of reading cognition (Kintsch, 1994, Sadoski & Paivio, 2001) and describes two studies based on this integrative conceptualization of the
Full Text Available The cultural and societal diversity in the jurisprudence of living dangerously reflects equally diverse views on the deeper question of law’s moral purpose. What duty of care does (or does not a community owe to those at the greatest risk of harm to their homes and persons? And is there also a right to be left alone—to assume all the risks and all the responsibilities for one’s own well-being, neither helped nor hindered by the community of which one is a part?This article reports comparative research being done on two states in the U.S. that have used the law to answer these morally freighted questions in very different ways, with specific regard to land use regulation in forested areas where wildfires have taken many lives and destroyed billions of dollars in residential property. It also suggests how this same analytic framework might be applied to transnational research in other legal cultures also endangered by catastrophic wildfires, such as Australia and Spain. La diversidad cultural y social en la jurisprudencia de los lugares en los que se vive bajo un peligro refleja equitativamente diferentes opiniones sobre el propósito moral de la ley, un tema más profundo. ¿Qué obligación tiene (o no una comunidad de ofrecer atención a aquellos individuos en mayor riesgo de sufrir daños sobre sus hogares o personas? ¿Y existe también el derecho a que cada uno asuma todos los riesgos y todas las responsabilidades sobre su propio bienestar, sin que le ayude, o le moleste, la comunidad de la que forma parte?Este artículo presenta una investigación comparativa desarrollada en dos estados de EE.UU. que han utilizado la ley de manera muy diferente, para responder a estas preguntas de gran carga moral, con especial referencia a la regulación del uso de la tierra en zonas donde los incendios forestales han causado muchas víctimas personales además de pérdidas de millones de dólares en propiedades residenciales. También sugiere que
Rice, Jennifer King
Teacher experience has long been a central pillar of teacher workforce policies in U.S. school systems. The underlying assumption behind many of these policies is that experience promotes effectiveness, but is this really the case? What does existing evidence tell us about how, why, and for whom teacher experience matters? This policy brief…
Text-Fabric is a Python3 package for Text plus Annotations. It provides a data model, a text file format, and a binary format for (ancient) text plus (linguistic) annotations. The emphasis of this all is on: data processing; sharing data; and contributing modules. A defining characteristic is that
With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the…
Riggs, Ken Roger
Discusses problems with marking free text, text that is either natural language or semigrammatical but unstructured, that prevent well-formed XML from marking text for readily available meaning. Proposes a solution to mark meaning in free text that is consistent with the intended simplicity of XML versus SGML. (Author/LRW)
Full Text Available . To investigate this question from a policy perspective, nine policies from the open and distance learning (ODL) university in South Africa were analysed for providing institutional mobile-centric support. Policy document analysis was used to evaluate five...
Lauridsen, Karen M.
Like any other text, instructive texts function within a given cultural and situational setting and may only be available in one language. However, the end users may not be familiar with that language and therefore unable to read and understand the instructions. This article therefore argues...... that instructive texts should always be available in a language that is understood by the end users, and that a corporate communication policy which includes a language policy should ensure that this is in fact the case for all instructive texts....
Full Text Available Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments. Rapid yet accurate text mining on large-scale scientific literature can discover novel knowledge to better understand human diseases and to improve the quality of disease diagnosis, prevention, and treatment.In this study, we designed and developed an efficient text mining framework called SparkText on a Big Data infrastructure, which is composed of Apache Spark data streaming and machine learning methods, combined with a Cassandra NoSQL database. To demonstrate its performance for classifying cancer types, we extracted information (e.g., breast, prostate, and lung cancers from tens of thousands of articles downloaded from PubMed, and then employed Naïve Bayes, Support Vector Machine (SVM, and Logistic Regression to build prediction models to mine the articles. The accuracy of predicting a cancer type by SVM using the 29,437 full-text articles was 93.81%. While competing text-mining tools took more than 11 hours, SparkText mined the dataset in approximately 6 minutes.This study demonstrates the potential for mining large-scale scientific articles on a Big Data infrastructure, with real-time update from new articles published daily. SparkText can be extended to other areas of biomedical research.
Windisch, Hendrickje Catriona
Low basic skills levels of adults are a complex policy problem which has neither straightforward causes nor solutions, and successful interventions are still relatively rare. Tackling serious literacy and numeracy weaknesses among adults is challenging, partly because the task itself is difficult, and partly because even if accomplished successfully, the returns on the investment (of expertise, time and money) are uncertain. The Survey of Adult Skills, an international investigation conducted in 22 member and two partner countries of the Organisation for Economic Co-operation and Development (OECD) as part of the Programme for the International Assessment of Adult Competencies (PIAAC), has revealed that a considerable number of adults possess only limited literacy and numeracy skills. Governments now recognise the need to upskill these adults in order to maintain national prosperity. This literature review examines current evidence on policy interventions for adults with low literacy and numeracy proficiencies to pinpoint what has so far proven to motivate adults to join and persist in basic literacy and numeracy learning. The author identifies three approaches which seem promising in helping to address individual learners' needs: (1) adapting instruction to learners' needs by means of regular assessment (formative assessment); (2) complementary e-learning (blended learning); and (3) contextualisation of basic skills provision both at work and at home (workplace learning and family literacy). The central challenge is to put the evidence to work.
Finnemann, Niels Ole
text can be defined by taking as point of departure the digital format in which everything is represented in the binary alphabet. While the notion of text, in most cases, lends itself to be independent of medium and embodiment, it is also often tacitly assumed that it is, in fact, modeled around...... the print medium, rather than written text or speech. In late 20th century, the notion of text was subject to increasing criticism as in the question raised within literary text theory: is there a text in this class? At the same time, the notion was expanded by including extra linguistic sign modalities...
He, Karen Y.; Wang, Kai
Background Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments. Rapid yet accurate text mining on large-scale scientific literature can discover novel knowledge to better understand human diseases and to improve the quality of disease diagnosis, prevention, and treatment. Results In this study, we designed and developed an efficient text mining framework called SparkText on a Big Data infrastructure, which is composed of Apache Spark data streaming and machine learning methods, combined with a Cassandra NoSQL database. To demonstrate its performance for classifying cancer types, we extracted information (e.g., breast, prostate, and lung cancers) from tens of thousands of articles downloaded from PubMed, and then employed Naïve Bayes, Support Vector Machine (SVM), and Logistic Regression to build prediction models to mine the articles. The accuracy of predicting a cancer type by SVM using the 29,437 full-text articles was 93.81%. While competing text-mining tools took more than 11 hours, SparkText mined the dataset in approximately 6 minutes. Conclusions This study demonstrates the potential for mining large-scale scientific articles on a Big Data infrastructure, with real-time update from new articles published daily. SparkText can be extended to other areas of biomedical research. PMID:27685652