Sample records for learning examples including
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Active Learning with Irrelevant Examples
Wagstaff, Kiri; Mazzoni, Dominic
2009-01-01
An improved active learning method has been devised for training data classifiers. One example of a data classifier is the algorithm used by the United States Postal Service since the 1960s to recognize scans of handwritten digits for processing zip codes. Active learning algorithms enable rapid training with minimal investment of time on the part of human experts to provide training examples consisting of correctly classified (labeled) input data. They function by identifying which examples would be most profitable for a human expert to label. The goal is to maximize classifier accuracy while minimizing the number of examples the expert must label. Although there are several well-established methods for active learning, they may not operate well when irrelevant examples are present in the data set. That is, they may select an item for labeling that the expert simply cannot assign to any of the valid classes. In the context of classifying handwritten digits, the irrelevant items may include stray marks, smudges, and mis-scans. Querying the expert about these items results in wasted time or erroneous labels, if the expert is forced to assign the item to one of the valid classes. In contrast, the new algorithm provides a specific mechanism for avoiding querying the irrelevant items. This algorithm has two components: an active learner (which could be a conventional active learning algorithm) and a relevance classifier. The combination of these components yields a method, denoted Relevance Bias, that enables the active learner to avoid querying irrelevant data so as to increase its learning rate and efficiency when irrelevant items are present. The algorithm collects irrelevant data in a set of rejected examples, then trains the relevance classifier to distinguish between labeled (relevant) training examples and the rejected ones. The active learner combines its ranking of the items with the probability that they are relevant to yield a final decision about which item
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Effects of worked examples, example-problem, and problem-example pairs on novices’ learning
Van Gog, Tamara; Kester, Liesbeth; Paas, Fred
2010-01-01
Van Gog, T., Kester, L., & Paas, F. (2011). Effects of worked examples, example-problem, and problem-example pairs on novices’ learning. Contemporary Educational Psychology, 36(3), 212-218. doi:10.1016/j.cedpsych.2010.10.004
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Learning Probabilistic Logic Models from Probabilistic Examples.
Chen, Jianzhong; Muggleton, Stephen; Santos, José
2008-10-01
We revisit an application developed originally using abductive Inductive Logic Programming (ILP) for modeling inhibition in metabolic networks. The example data was derived from studies of the effects of toxins on rats using Nuclear Magnetic Resonance (NMR) time-trace analysis of their biofluids together with background knowledge representing a subset of the Kyoto Encyclopedia of Genes and Genomes (KEGG). We now apply two Probabilistic ILP (PILP) approaches - abductive Stochastic Logic Programs (SLPs) and PRogramming In Statistical modeling (PRISM) to the application. Both approaches support abductive learning and probability predictions. Abductive SLPs are a PILP framework that provides possible worlds semantics to SLPs through abduction. Instead of learning logic models from non-probabilistic examples as done in ILP, the PILP approach applied in this paper is based on a general technique for introducing probability labels within a standard scientific experimental setting involving control and treated data. Our results demonstrate that the PILP approach provides a way of learning probabilistic logic models from probabilistic examples, and the PILP models learned from probabilistic examples lead to a significant decrease in error accompanied by improved insight from the learned results compared with the PILP models learned from non-probabilistic examples.
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Toward an Instructionally Oriented Theory of Example-Based Learning
Renkl, Alexander
2014-01-01
Learning from examples is a very effective means of initial cognitive skill acquisition. There is an enormous body of research on the specifics of this learning method. This article presents an instructionally oriented theory of example-based learning that integrates theoretical assumptions and findings from three research areas: learning from…
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Statics learning from engineering examples
Emri, Igor
2016-01-01
This textbook introduces and explains the basic concepts on which statics is based utilizing real engineering examples. The authors emphasize the learning process by showing a real problem, analyzing it, simplifying it, and developing a way to solve it. This feature teaches students intuitive thinking in solving real engineering problems using the fundamentals of Newton’s laws. This book also: · Stresses representation of physical reality in ways that allow students to solve problems and obtain meaningful results · Emphasizes identification of important features of the structure that should be included in a model and which features may be omitted · Facilitates students' understanding and mastery of the "flow of thinking" practiced by professional engineers.
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Active learning in the presence of unlabelable examples
Mazzoni, Dominic; Wagstaff, Kiri
2004-01-01
We propose a new active learning framework where the expert labeler is allowed to decline to label any example. This may be necessary because the true label is unknown or because the example belongs to a class that is not part of the real training problem. We show that within this framework, popular active learning algorithms (such as Simple) may perform worse than random selection because they make so many queries to the unlabelable class. We present a method by which any active learning algorithm can be modified to avoid unlabelable examples by training a second classifier to distinguish between the labelable and unlabelable classes. We also demonstrate the effectiveness of the method on two benchmark data sets and a real-world problem.
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Active learning techniques for librarians practical examples
Walsh, Andrew
2010-01-01
A practical work outlining the theory and practice of using active learning techniques in library settings. It explains the theory of active learning and argues for its importance in our teaching and is illustrated using a large number of examples of techniques that can be easily transferred and used in teaching library and information skills to a range of learners within all library sectors. These practical examples recognise that for most of us involved in teaching library and information skills the one off session is the norm, so we need techniques that allow us to quickly grab and hold our
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STEM-related, Student-led Service Learning / Community Engagement Projects: Examples and Benefits
Swap, R. J.; Wayland, K.
2015-12-01
Field-based, STEM-related service learning / community engagement projects present an opportunity for undergraduate students to demonstrate proficiencies related to the process of inquiry. These proficiencies include: appreciation of the larger project context, articulation of an informed question/hypothesis, project proposal development, interdisciplinary collaboration, project management (including planning, implementation reconfiguration and synthesis) and lastly the generation and handing off of acquired knowledge. Calls for these types of proficiencies have been expressed by governmental, non-governmental as well as the private sector. Accordingly, institutions of higher learning have viewed such activities as opportunities for enriching the learning experience for undergraduate students and for making such students more marketable, especially those from STEM-related fields. This institutional interest has provided an opportunity to support and expand field-based learning. Here we present examples of student-led/faculty-mentored international service learning and community engagement projects along the arc of preparation, implementation and post-field process. Representative examples that draw upon environmental science and engineering knowledge have been selected from more than 20 international undergraduate student projects over past decade and include: slow-sand water filtration, rainwater harvesting, methane biodigesters, water reticulation schemes and development and implementation of rocket stoves for communal cooking. We discuss these efforts in terms of the development of the aforementioned proficiencies, the utility of such proficiencies to the larger enterprise of STEM and the potential for transformative student learning outcomes. We share these experiences and lessons learned with the hope that others may intelligently borrow from our approach in a manner appropriate for their particular context.
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Forsström, J
1992-01-01
The ID3 algorithm for inductive learning was tested using preclassified material for patients suspected to have a thyroid illness. Classification followed a rule-based expert system for the diagnosis of thyroid function. Thus, the knowledge to be learned was limited to the rules existing in the knowledge base of that expert system. The learning capability of the ID3 algorithm was tested with an unselected learning material (with some inherent missing data) and with a selected learning material (no missing data). The selected learning material was a subgroup which formed a part of the unselected learning material. When the number of learning cases was increased, the accuracy of the program improved. When the learning material was large enough, an increase in the learning material did not improve the results further. A better learning result was achieved with the selected learning material not including missing data as compared to unselected learning material. With this material we demonstrate a weakness in the ID3 algorithm: it can not find available information from good example cases if we add poor examples to the data.
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Collaborative Learning in Practice : Examples from Natural ...
International Development Research Centre (IDRC) Digital Library (Canada)
1 déc. 2010 ... Couverture du livre Collaborative Learning in Practice: Examples from Natural Resource Management in Asia ... Collaborative Learning in Practice saura intéresser les universitaires, les chercheurs et les étudiants des cycles supérieurs en études du développement, ... Strategic leverage on value chains.
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The Use of Learning Study in Designing Examples for Teaching Physics
Guo, Jian-Peng; Yang, Ling-Yan; Ding, Yi
2017-07-01
Researchers have consistently demonstrated that studying multiple examples is more effective than studying one example because comparing multiple examples can promote schema construction and facilitate discernment of critical aspects. Teachers, however, are usually absent from those self-led text-based studies. In this experimental study, a learning study approach based on variation theory was adopted to examine the effectiveness of teachers' different ways of designing multiple examples in helping students learn a physics principle. Three hundred and fifty-one tenth-grade students learned to distinguish action-reaction from equilibrium (a) by comparing examples that varied critical aspects first separately and then simultaneously, or (b) by comparing examples that separately varied critical aspects only. Results showed that students with average academic attainment benefited more from comparing examples in the first condition. Students with higher academic attainment learned equally within both conditions. This finding supports the advantage of simultaneous variation. The characteristics of students and instructional support should be taken into account when considering the effectiveness of patterns of variation.
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Cheng, Zhanzhan; Zhou, Shuigeng; Wang, Yang; Liu, Hui; Guan, Jihong; Chen, Yi-Ping Phoebe
2016-05-18
Prediction of compound-protein interactions (CPIs) is to find new compound-protein pairs where a protein is targeted by at least a compound, which is a crucial step in new drug design. Currently, a number of machine learning based methods have been developed to predict new CPIs in the literature. However, as there is not yet any publicly available set of validated negative CPIs, most existing machine learning based approaches use the unknown interactions (not validated CPIs) selected randomly as the negative examples to train classifiers for predicting new CPIs. Obviously, this is not quite reasonable and unavoidably impacts the CPI prediction performance. In this paper, we simply take the unknown CPIs as unlabeled examples, and propose a new method called PUCPI (the abbreviation of PU learning for Compound-Protein Interaction identification) that employs biased-SVM (Support Vector Machine) to predict CPIs using only positive and unlabeled examples. PU learning is a class of learning methods that leans from positive and unlabeled (PU) samples. To the best of our knowledge, this is the first work that identifies CPIs using only positive and unlabeled examples. We first collect known CPIs as positive examples and then randomly select compound-protein pairs not in the positive set as unlabeled examples. For each CPI/compound-protein pair, we extract protein domains as protein features and compound substructures as chemical features, then take the tensor product of the corresponding compound features and protein features as the feature vector of the CPI/compound-protein pair. After that, biased-SVM is employed to train classifiers on different datasets of CPIs and compound-protein pairs. Experiments over various datasets show that our method outperforms six typical classifiers, including random forest, L1- and L2-regularized logistic regression, naive Bayes, SVM and k-nearest neighbor (kNN), and three types of existing CPI prediction models. Source code, datasets and
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Learning from video modeling examples: Does gender matter?
Hoogerheide, V.; Loyens, S.M.M.; van Gog, T.
2016-01-01
Online learning from video modeling examples, in which a human model demonstrates and explains how to perform a learning task, is an effective instructional method that is increasingly used nowadays. However, model characteristics such as gender tend to differ across videos, and the model-observer
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Learning from video modeling examples: does gender matter?
V. Hoogerheide (Vincent); S.M.M. Loyens (Sofie); T.A.J.M. van Gog (Tamara)
2016-01-01
textabstractOnline learning from video modeling examples, in which a human model demonstrates and explains how to perform a learning task, is an effective instructional method that is increasingly used nowadays. However, model characteristics such as gender tend to differ across videos, and the
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Dyer, Joseph-Omer; Hudon, Anne; Montpetit-Tourangeau, Katherine; Charlin, Bernard; Mamede, Sílvia; van Gog, Tamara
2015-03-07
Example-based learning using worked examples can foster clinical reasoning. Worked examples are instructional tools that learners can use to study the steps needed to solve a problem. Studying worked examples paired with completion examples promotes acquisition of problem-solving skills more than studying worked examples alone. Completion examples are worked examples in which some of the solution steps remain unsolved for learners to complete. Providing learners engaged in example-based learning with self-explanation prompts has been shown to foster increased meaningful learning compared to providing no self-explanation prompts. Concept mapping and concept map study are other instructional activities known to promote meaningful learning. This study compares the effects of self-explaining, completing a concept map and studying a concept map on conceptual knowledge and problem-solving skills among novice learners engaged in example-based learning. Ninety-one physiotherapy students were randomized into three conditions. They performed a pre-test and a post-test to evaluate their gains in conceptual knowledge and problem-solving skills (transfer performance) in intervention selection. They studied three pairs of worked/completion examples in a digital learning environment. Worked examples consisted of a written reasoning process for selecting an optimal physiotherapy intervention for a patient. The completion examples were partially worked out, with the last few problem-solving steps left blank for students to complete. The students then had to engage in additional self-explanation, concept map completion or model concept map study in order to synthesize and deepen their knowledge of the key concepts and problem-solving steps. Pre-test performance did not differ among conditions. Post-test conceptual knowledge was higher (P example and completion example strategies to foster intervention selection.
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Effects of Example Variability and Prior Knowledge in How Students Learn to Solve Equations
Guo, Jian-Peng; Yang, Ling-Yan; Ding, Yi
2014-01-01
Researchers have consistently demonstrated that multiple examples are better than one example in facilitating learning because the comparison evoked by multiple examples supports learning and transfer. However, research outcomes are unclear regarding the effects of example variability and prior knowledge on learning from comparing multiple…
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Learning from Video Modeling Examples: Does Gender Matter?
Hoogerheide, Vincent; Loyens, Sofie M. M.; van Gog, Tamara
2016-01-01
Online learning from video modeling examples, in which a human model demonstrates and explains how to perform a learning task, is an effective instructional method that is increasingly used nowadays. However, model characteristics such as gender tend to differ across videos, and the model-observer similarity hypothesis suggests that such…
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Can Collaborative Learning Improve the Effectiveness of Worked Examples in Learning Mathematics?
Retnowati, Endah; Ayres, Paul; Sweller, John
2017-01-01
Worked examples and collaborative learning have both been shown to facilitate learning. However, the testing of both strategies almost exclusively has been conducted independently of each other. The main aim of the current study was to examine interactions between these 2 strategies. Two experiments (N = 182 and N = 122) were conducted with…
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How Effective Is Example Generation for Learning Declarative Concepts?
Rawson, Katherine A.; Dunlosky, John
2016-01-01
Declarative concepts (i.e., key terms and corresponding definitions for abstract concepts) represent foundational knowledge that students learn in many content domains. Thus, investigating techniques to enhance concept learning is of critical importance. Various theoretical accounts support the expectation that example generation will serve this…
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Worked examples are more efficient for learning than high-assistance instructional software
McLaren, Bruce M.; van Gog, Tamara; Ganoe, Craig; Yaron, David; Karabinos, Michael
2015-01-01
The ‘assistance dilemma’, an important issue in the Learning Sciences, is concerned with how much guidance or assistance should be provided to help students learn. A recent study comparing three high-assistance approaches (worked examples, tutored problems, and erroneous examples) and one
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Example-based learning: Integrating cognitive and social-cognitive research perspectives
T.A.J.M. van Gog (Tamara); N. Rummel (Nikol)
2010-01-01
textabstractExample-based learning has been studied from different perspectives. Cognitive research has mainly focused on worked examples, which typically provide students with a written worked-out didactical solution to a problem to study. Social-cognitive research has mostly focused on modeling
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Model for safety reports including descriptive examples
International Nuclear Information System (INIS)
1995-12-01
Several safety reports will be produced in the process of planning and constructing the system for disposal of high-level radioactive waste in Sweden. The present report gives a model, with detailed examples, of how these reports should be organized and what steps they should include. In the near future safety reports will deal with the encapsulation plant and the repository. Later reports will treat operation of the handling systems and the repository
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On-line learning from clustered input examples
Riegler, Peter; Biehl, Michael; Solla, Sara A.; Marangi, Carmela; Marinaro, Maria; Tagliaferri, Roberto
1996-01-01
We analyse on-line learning of a linearly separable rule with a simple perceptron. Example inputs are taken from two overlapping clusters of data and the rule is defined through a teacher vector which is in general not aligned with the connection line of the cluster centers. We find that the Hebb
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J.-O. Dyer (Joseph-Omer); A. Hudon (Anne); K. Montpetit-Tourangeau (Katherine); B. Charlin (Bernard); S. Mamede (Silvia); T.A.J.M. van Gog (Tamara)
2015-01-01
textabstractBACKGROUND: Example-based learning using worked examples can foster clinical reasoning. Worked examples are instructional tools that learners can use to study the steps needed to solve a problem. Studying worked examples paired with completion examples promotes acquisition of
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J.-O. Dyer (Joseph-Omer); A. Hudon (Anne); K. Montpetit-Tourangeau (Katherine); B. Charlin (Bernard); S. Mamede (Silvia); T.A.J.M. van Gog (Tamara)
2015-01-01
textabstractBackground: Example-based learning using worked examples can foster clinical reasoning. Worked examples are instructional tools that learners can use to study the steps needed to solve a problem. Studying worked examples paired with completion examples promotes acquisition of
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Imitation and Education: A Philosophical Inquiry into Learning by Example
Warnick, Bryan R.
2008-01-01
"Imitation and Education" provides an in-depth reassessment of learning by example that places imitation in a larger social context. It is the first book to bring together ancient educational thought and startling breakthroughs in the fields of cognitive science, psychology, and philosophy to reconsider how we learn from the lives of…
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Personalized Resource Recommendations using Learning from Positive and Unlabeled Examples
Directory of Open Access Journals (Sweden)
Priyank Thakkar
2016-08-01
Full Text Available This paper proposes a novel approach for recommending social resources using learning from positive and unlabeled examples. Bookmarks submitted on social bookmarking system delicious1 and artists on online music system last.fm2 are considered as social resources. The foremost feature of this problem is that there are no labeled negative resources/examples available for learning a recommender/classifier. The memory based collaborative filtering has served as the most widely used algorithm for social resource recommendation. However, its predictions are based on some ad hoc heuristic rules and its success depends on the availability of a critical mass of users. This paper proposes model based two-step techniques to learn a classifier using positive and unlabeled examples to address personalized resource recommendations. In the first step of these techniques, naïve Bayes classifier is employed to identify reliable negative resources. In the second step, to generate effective resource recommender, classification and regression tree and least square support vector machine (LS-SVM are exercised. A direct method based on LS-SVM is also put forward to realize the recommendation task. LS-SVM is customized for learning from positive and unlabeled data. Furthermore, the impact of feature selection on our proposed techniques is also studied. Memory based collaborative filtering as well as our proposed techniques exploit usage data to generate personalized recommendations. Experimental results show that the proposed techniques outperform existing method appreciably.
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Example-Based Learning in Heuristic Domains: A Cognitive Load Theory Account
Renkl, Alexander; Hilbert, Tatjana; Schworm, Silke
2009-01-01
One classical instructional effect of cognitive load theory (CLT) is the worked-example effect. Although the vast majority of studies have focused on well-structured and algorithmic sub-domains of mathematics or physics, more recent studies have also analyzed learning with examples from complex domains in which only heuristic solution strategies…
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Burgos, Daniel; Hummel, Hans; Tattersall, Colin; Brouns, Francis; Koper, Rob
2007-01-01
Burgos, D., Hummel, H. G. K., Tattersall, C., Brouns, F., & Koper, R. (2009). Design Guidelines for Collaboration and Participation with Examples from the LN4LD (Learning Network for Learning Design). In L. Lockyer, S. Bennett, S. Agostinho & B. Harper (Eds.), Handbook of Research on Learning Design
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An introduction to Deep learning on biological sequence data - Examples and solutions
DEFF Research Database (Denmark)
Jurtz, Vanessa Isabell; Johansen, Alexander Rosenberg; Nielsen, Morten
2017-01-01
Deep neural network architectures such as convolutional and long short-term memory networks have become increasingly popular as machine learning tools during the recent years. The availability of greater computational resources, more data, new algorithms for training deep models and easy to use....... Here, we aim to further the development of deep learning methods within biology by providing application examples and ready to apply and adapt code templates. Given such examples, we illustrate how architectures consisting of convolutional and long short-term memory neural networks can relatively...
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Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural Model
Panda, Priyadarshini; Srinivasa, Narayan
2018-01-01
A fundamental challenge in machine learning today is to build a model that can learn from few examples. Here, we describe a reservoir based spiking neural model for learning to recognize actions with a limited number of labeled videos. First, we propose a novel encoding, inspired by how microsaccades influence visual perception, to extract spike information from raw video data while preserving the temporal correlation across different frames. Using this encoding, we show that the reservoir generalizes its rich dynamical activity toward signature action/movements enabling it to learn from few training examples. We evaluate our approach on the UCF-101 dataset. Our experiments demonstrate that our proposed reservoir achieves 81.3/87% Top-1/Top-5 accuracy, respectively, on the 101-class data while requiring just 8 video examples per class for training. Our results establish a new benchmark for action recognition from limited video examples for spiking neural models while yielding competitive accuracy with respect to state-of-the-art non-spiking neural models. PMID:29551962
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Bayesian methods for the physical sciences learning from examples in astronomy and physics
Andreon, Stefano
2015-01-01
Statistical literacy is critical for the modern researcher in Physics and Astronomy. This book empowers researchers in these disciplines by providing the tools they will need to analyze their own data. Chapters in this book provide a statistical base from which to approach new problems, including numerical advice and a profusion of examples. The examples are engaging analyses of real-world problems taken from modern astronomical research. The examples are intended to be starting points for readers as they learn to approach their own data and research questions. Acknowledging that scientific progress now hinges on the availability of data and the possibility to improve previous analyses, data and code are distributed throughout the book. The JAGS symbolic language used throughout the book makes it easy to perform Bayesian analysis and is particularly valuable as readers may use it in a myriad of scenarios through slight modifications.
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Learning from video modeling examples : Effects of seeing the human model's face
Van Gog, Tamara; Verveer, Ilse; Verveer, Lise
2014-01-01
Video modeling examples in which a human(-like) model shows learners how to perform a task are increasingly used in education, as they have become very easy to create and distribute in e-learning environments. However, little is known about design guidelines to optimize learning from video modeling
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Learning Argumentation Skills through the Use of Prompts for Self-Explaining Examples
Schworm, Silke; Renkl, Alexander
2007-01-01
Learning with self-explaining examples is an effective method in well-structured domains. The authors analyzed this method in teaching the complex skill of argumentation, experimentally comparing 4 conditions (N = 71 student teachers) that differed with respect to whether and how the processing of the examples was supported by self-explanation…
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Hannon, Brenda
2012-10-01
Definitions of related concepts (e.g., genotype - phenotype ) are prevalent in introductory classes. Consequently, it is important that educators and students know which strategy(s) work best for learning them. This study showed that a new comparative elaboration strategy, called differential-associative processing, was better for learning definitions of related concepts than was an integrative elaborative strategy, called example elaboration. This outcome occurred even though example elaboration was administered in a naturalistic way (Experiment 1) and students spent more time in the example elaboration condition learning (Experiments 1, 2, 3), and generating pieces of information about the concepts (Experiments 2 and 3). Further, with unrelated concepts ( morpheme-fluid intelligence ), performance was similar regardless if students used differential-associative processing or example elaboration (Experiment 3). Taken as a whole, these results suggest that differential-associative processing is better than example elaboration for learning definitions of related concepts and is as good as example elaboration for learning definitions of unrelated concepts.
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Huang, Xiaoxia
2017-01-01
Previous research has indicated the disconnect between example-based research focusing on worked examples (WEs) and that focusing on modeling examples. The purpose of this study was to examine and compare the effect of four different types of examples from the two separate lines of research, including standard WEs, erroneous WEs, expert (masterly)…
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Learning and Understanding System Stability Using Illustrative Dynamic Texture Examples
Liu, Huaping; Xiao, Wei; Zhao, Hongyan; Sun, Fuchun
2014-01-01
System stability is a basic concept in courses on dynamic system analysis and control for undergraduate students with computer science backgrounds. Typically, this was taught using a simple simulation example of an inverted pendulum. Unfortunately, many difficult issues arise in the learning and understanding of the concepts of stability,…
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An introduction to deep learning on biological sequence data: examples and solutions.
Jurtz, Vanessa Isabell; Johansen, Alexander Rosenberg; Nielsen, Morten; Almagro Armenteros, Jose Juan; Nielsen, Henrik; Sønderby, Casper Kaae; Winther, Ole; Sønderby, Søren Kaae
2017-11-15
Deep neural network architectures such as convolutional and long short-term memory networks have become increasingly popular as machine learning tools during the recent years. The availability of greater computational resources, more data, new algorithms for training deep models and easy to use libraries for implementation and training of neural networks are the drivers of this development. The use of deep learning has been especially successful in image recognition; and the development of tools, applications and code examples are in most cases centered within this field rather than within biology. Here, we aim to further the development of deep learning methods within biology by providing application examples and ready to apply and adapt code templates. Given such examples, we illustrate how architectures consisting of convolutional and long short-term memory neural networks can relatively easily be designed and trained to state-of-the-art performance on three biological sequence problems: prediction of subcellular localization, protein secondary structure and the binding of peptides to MHC Class II molecules. All implementations and datasets are available online to the scientific community at https://github.com/vanessajurtz/lasagne4bio. skaaesonderby@gmail.com. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com
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Zen of cloud learning cloud computing by examples on Microsoft Azure
Bai, Haishi
2014-01-01
Zen of Cloud: Learning Cloud Computing by Examples on Microsoft Azure provides comprehensive coverage of the essential theories behind cloud computing and the Windows Azure cloud platform. Sharing the author's insights gained while working at Microsoft's headquarters, it presents nearly 70 end-to-end examples with step-by-step guidance on implementing typical cloud-based scenarios.The book is organized into four sections: cloud service fundamentals, cloud solutions, devices and cloud, and system integration and project management. Each chapter contains detailed exercises that provide readers w
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Example and Non-Example Pada Pembelajaran Matematika
Yunarto, Wanda Nugroho
2016-01-01
Abstrak Example and Non-Example Learning Model merupakan model pembelajaran yang menggunakan gambar sebagai media pembelajaran yang bertujuan mendorong mahasiswa untuk belajar berfikir kritis dengan jalan memecahkan permasalahan-permasalahan yang terkandung dalam contoh-contoh permasalahan/ konsep yang disajikan. Tujuan dari penelitian ini adalah mendapatkan gambaran mengenai bagaimana penerapan model pembelajaran Example and non-Example pada mahasiswa program studi Pendidikan Matematika Univ...
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Statistical physics of learning from examples: a brief introduction
International Nuclear Information System (INIS)
Broeck, C. van den
1994-01-01
The problem of how one can learn from examples is illustrated on the case of a student perception trained by the Hebb rule on examples generated by a teacher perception. Two basic quantities are calculated: the training error and the generalization error. The obtained results are found to be typical. Other training rules are discussed. For the case of an Ising student with an Ising teacher, the existence of a first order phase transition is shown. Special effects such as dilution, queries, rejection, etc. are discussed and some results for multilayer networks are reviewed. In particular, the properties of a self-similar committee machine are derived. Finally, we discuss the statistic of generalization, with a review of the Hoeffding inequality, the Dvoretzky Kiefer Wolfowitz theorem and the Vapnik Chervonenkis theorem. (author). 29 refs, 6 figs
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Effects of creating video-based modeling examples on learning and transfer
Hoogerheide, Vincent; Loyens, Sofie M M; van Gog, Tamara
2014-01-01
Two experiments investigated whether acting as a peer model for a video-based modeling example, which entails studying a text with the intention to explain it to others and then actually explaining it on video, would foster learning and transfer. In both experiments, novices were instructed to study
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Issues in Institutional Benchmarking of Student Learning Outcomes Using Case Examples
Judd, Thomas P.; Pondish, Christopher; Secolsky, Charles
2013-01-01
Benchmarking is a process that can take place at both the inter-institutional and intra-institutional level. This paper focuses on benchmarking intra-institutional student learning outcomes using case examples. The findings of the study illustrate the point that when the outcomes statements associated with the mission of the institution are…
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Van Gog, Tamara; Kester, Liesbeth; Paas, Fred
2010-01-01
Van Gog, T., Kester, L., & Paas, F. (2010, August). Effects of worked examples, example-problem pairs, and problem-example pairs compared to problem solving. Paper presented at the Biannual EARLI SIG meeting of Instructional design and Learning and instruction with computers, Ulm, Germany.
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Workplace Learning by Action Learning: A Practical Example.
Miller, Peter
2003-01-01
An action learning approach to help managers enhance learning capacity involved a performance management seminar, work by action learning sets, implementation of a new performance management instrument with mentoring by action learning facilitators, and evaluation. Survey responses from 392 participants revealed satisfaction with managerial…
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Learning with multiple representations: an example of a revision lesson in mechanics
Wong, Darren; Poo, Sng Peng; Eng Hock, Ng; Loo Kang, Wee
2011-03-01
We describe an example of learning with multiple representations in an A-level revision lesson on mechanics. The context of the problem involved the motion of a ball thrown vertically upwards in air and studying how the associated physical quantities changed during its flight. Different groups of students were assigned to look at the ball's motion using various representations: motion diagrams, vector diagrams, free-body diagrams, verbal description, equations and graphs, drawn against time as well as against displacement. Overall, feedback from students about the lesson was positive. We further discuss the benefits of using computer simulation to support and extend student learning.
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Organizational Learning Capability: An Example of University Hospital
Directory of Open Access Journals (Sweden)
Yasin UZUNTARLA
2015-06-01
Full Text Available In health care institutions aiming healthy society by the way protecting and promoting human health, reaching information has a vital importance. This descriptive research purposed an evaluation of organizational learning capability of 396 employees working in Gülhane Military Medical Academy Hospital. A questionnaire including socio-demographic characteristics was used along with Organizational Learning Capability scale designed by Ricardo CHIVA and His Friends. Data acquired was analyzed with SPSS 15.0 program. Participants’ Organizational Learning Capability and its subscales means were assessed in terms of their sociodemographic characteristics. Assessing participants’ answers in terms of 5 subscales which are experimentation, risk taking, interaction with the external environment, dialogue and participatory decision-making; for education level and professional groups, statistical significant differences was found between Organizational Learning Capability and its subscales means.
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Heitzmann, Nicole; Fischer, Frank; Fischer, Martin R.
2018-01-01
To diagnose classroom situations is crucial for teachers' everyday practice. The approach of worked examples with errors seems promising to support the diagnosis of classroom situations in student teachers (Stark et al. in "Learn Instr" 21(1):22-33, 2011). To enhance that approach, error-explanation prompts and an adaptable feedback…
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Learning with Multiple Representations: An Example of a Revision Lesson in Mathematics
Wong, Darren; Poo, Sng Peng; Hock, Ng Eng; Kang, Wee Loo
2011-01-01
We describe an example of learning with multiple representations in an A-level revision lesson on mechanics. The context of the problem involved the motion of a ball thrown vertically upwards in air and studying how the associated physical quantities changed during its flight. Different groups of students were assigned to look at the ball's motion…
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E-learning in an undergraduate radiography programme: Example of an interactive website
International Nuclear Information System (INIS)
White, Peter; Cheung, Alice K.Y.
2006-01-01
Purpose: To demonstrate how e-learning can be integrated into an undergraduate radiography programme, using an academic subject dealing with ethico-legal issues as an example. Information provided could be applied to any form of online learning. Methods: One academic subject from an undergraduate radiography programme, Case-Based Learning for Professional Studies, which had previously been taught using traditional face-to-face methods, was transformed into an e-learning format. Students who experienced the new e-learning format were evaluated by means of an online evaluation questionnaire. Results: Eighty-three percentage of respondents felt confident/semi-confident about participating in online Chat sessions. Around 34% of respondents thought that the Discussion Board was useful for communicating with fellow students. Nearly 70% of respondents believed that access to online materials enabled them to prepare for lectures and tutorials. However, 34% of students preferred more face-to-face lectures/tutorials. Overall, feedback was positive. Conclusion: Course providers and other relevant stakeholders need to be proactive in determining ways to facilitate undergraduate and post-registration development and learning. E-learning can be utilized to benefit learners who wish to work at their own pace and who cannot attend courses at remote sites. Individuals can reap the benefits of an online learning format and affording learners more flexibility and providing guidance for them, by means of a website, may help to promote a positive attitude to lifelong learning
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E-learning in an undergraduate radiography programme: Example of an interactive website
Energy Technology Data Exchange (ETDEWEB)
White, Peter [Department of Optometry and Radiography, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (China)]. E-mail: orpwhite@polyu.edu.hk; Cheung, Alice K.Y. [Department of Optometry and Radiography, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (China)]. E-mail: alice.cheung@iee.org
2006-08-15
Purpose: To demonstrate how e-learning can be integrated into an undergraduate radiography programme, using an academic subject dealing with ethico-legal issues as an example. Information provided could be applied to any form of online learning. Methods: One academic subject from an undergraduate radiography programme, Case-Based Learning for Professional Studies, which had previously been taught using traditional face-to-face methods, was transformed into an e-learning format. Students who experienced the new e-learning format were evaluated by means of an online evaluation questionnaire. Results: Eighty-three percentage of respondents felt confident/semi-confident about participating in online Chat sessions. Around 34% of respondents thought that the Discussion Board was useful for communicating with fellow students. Nearly 70% of respondents believed that access to online materials enabled them to prepare for lectures and tutorials. However, 34% of students preferred more face-to-face lectures/tutorials. Overall, feedback was positive. Conclusion: Course providers and other relevant stakeholders need to be proactive in determining ways to facilitate undergraduate and post-registration development and learning. E-learning can be utilized to benefit learners who wish to work at their own pace and who cannot attend courses at remote sites. Individuals can reap the benefits of an online learning format and affording learners more flexibility and providing guidance for them, by means of a website, may help to promote a positive attitude to lifelong learning.
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Does Tracing Worked Examples Enhance Geometry Learning?
Hu, Fang-Tzu; Ginns, Paul; Bobis, Janette
2014-01-01
Cognitive load theory seeks to generate novel instructional designs through a focus on human cognitive architecture including a limited working memory; however, the potential for enhancing learning through non-visual or non-auditory working memory channels is yet to be evaluated. This exploratory experiment tested whether explicit instructions to…
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Scherr, Rachel E.; Hammer, David
2009-01-01
The concept of framing from anthropology and sociolinguistics is useful for understanding student reasoning. For example, a student may frame a learning activity as an opportunity for sensemaking or as an assignment to fill out a worksheet. The student's framing affects what she notices, what knowledge she accesses, and how she thinks to act. We…
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DEFF Research Database (Denmark)
Pedersen, Kamilla; Moeller, Martin Holdgaard; Paltved, Charlotte
2017-01-01
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...
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Rock, Adam J; Coventry, William L; Morgan, Methuen I; Loi, Natasha M
2016-01-01
Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology.
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Rock, Adam J.; Coventry, William L.; Morgan, Methuen I.; Loi, Natasha M.
2016-01-01
Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology. PMID:27014147
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Directory of Open Access Journals (Sweden)
Adam John Rock
2016-03-01
Full Text Available Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal, Ginsburg, & Schau, 1997. Given the ubiquitous and distributed nature of eLearning systems (Nof, Ceroni, Jeong, & Moghaddam, 2015, teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology.
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Web-based experiments controlled by JavaScript: an example from probability learning.
Birnbaum, Michael H; Wakcher, Sandra V
2002-05-01
JavaScript programs can be used to control Web experiments. This technique is illustrated by an experiment that tested the effects of advice on performance in the classic probability-learning paradigm. Previous research reported that people tested via the Web or in the lab tended to match the probabilities of their responses to the probabilities that those responses would be reinforced. The optimal strategy, however, is to consistently choose the more frequent event; probability matching produces suboptimal performance. We investigated manipulations we reasoned should improve performance. A horse race scenario in which participants predicted the winner in each of a series of races between two horses was compared with an abstract scenario used previously. Ten groups of learners received different amounts of advice, including all combinations of (1) explicit instructions concerning the optimal strategy, (2) explicit instructions concerning a monetary sum to maximize, and (3) accurate information concerning the probabilities of events. The results showed minimal effects of horse race versus abstract scenario. Both advice concerning the optimal strategy and probability information contributed significantly to performance in the task. This paper includes a brief tutorial on JavaScript, explaining with simple examples how to assemble a browser-based experiment.
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Ayse T. Daloglu; Musa Artar; Korhan Ozgan; Ali İ. Karakas
2018-01-01
Optimum design of braced steel space frames including soil-structure interaction is studied by using harmony search (HS) and teaching-learning-based optimization (TLBO) algorithms. A three-parameter elastic foundation model is used to incorporate the soil-structure interaction effect. A 10-storey braced steel space frame example taken from literature is investigated according to four different bracing types for the cases with/without soil-structure interaction. X, V, Z, and eccentric V-shaped...
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Raaijmakers, Steven F.; Baars, Martine; Schaap, Lydia; Paas, Fred; van Merriënboer, Jeroen; van Gog, Tamara
2018-01-01
Self-assessment and task-selection skills are crucial in self-regulated learning situations in which students can choose their own tasks. Prior research suggested that training with video modeling examples, in which another person (the model) demonstrates and explains the cyclical process of problem-solving task performance, self-assessment, and…
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McCabe, Jennifer A.
2015-01-01
The goal of this research was to determine whether there is a generation effect for learner-created keyword mnemonics and real-life examples, compared to instructor-provided materials, when learning neurophysiological terms and definitions in introductory psychology. Students participated in an individual (Study 1) or small-group (Study 2)…
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Pedersen, Kamilla; Moeller, Martin Holdgaard; Paltved, Charlotte; Mors, Ole; Ringsted, Charlotte; Morcke, Anne Mette
2017-10-06
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.
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Ferenc, Anna
2015-01-01
This article discusses transformation of passive knowledge receptivity into experiences of deep learning in a lecture-based music theory course at the second-year undergraduate level through implementation of collaborative projects that evoke natural critical learning environments. It presents an example of such a project, addresses key features…
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Fiorella, Logan; van Gog, Tamara; Hoogerheide, Vincent; Mayer, Richard E.
2017-01-01
The present study tests whether presenting video modeling examples from the learner's (first-person) perspective promotes learning of an assembly task, compared to presenting video examples from a third-person perspective. Across 2 experiments conducted in different labs, university students viewed a video showing how to assemble an 8-component…
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Fiorella, Logan; van Gog, T.; Hoogerheide, V.; Mayer, Richard
2017-01-01
The present study tests whether presenting video modeling examples from the learner’s (first-person) perspective promotes learning of an assembly task, compared to presenting video examples from a third-person perspective. Across 2 experiments conducted in different labs, university students viewed
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Mathematics as a constructive activity learners generating examples
Watson, Anne
2005-01-01
Explains and demonstrates the role of examples in the teaching and learning of mathematics, and their place in mathematics generally at all levels. Includes a combination of exercises for the reader, practical applications for teaching, and solid scholarly grounding.
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Teaching with Games: Online Resources and Examples for Entry Level Courses
Teed, R.; Manduca, C.
2004-12-01
Using games to teach introductory geoscience can motivate students to enthusiastically learn material that they might otherwise condemn as "boring". A good educational game is one that immerses the players in the material and engages them for as long as it takes to master that material. There are some good geoscience games already available, but instructors can also create their own, suitable to their students and the content that they are teaching. Game-Based Learning is a module on the Starting Point website for faculty teaching entry level geosciences. It assists faculty in using games in their teaching by providing a description of the features of game-based learning, why you would use it, how to use games to teach geoscience, examples, and references. Other issues discussed include the development of video games for teaching, having your students create educational games, what makes a good game, handling competition in the classroom, and grading. The examples include descriptions of and rules for a GPS treasure hunt, a geology quiz show, and an earthquake game, as well as links to several online geological video games, and advice on how to design a paleontology board game. Starting Point is intended to help both experienced faculty and new instructors meet the challenge of teaching introductory geoscience classes, including environmental science and oceanography as well as more traditional geology classes. For many students, these classes are both the first and the last college-level science class that they will ever take. They need to learn enough about the Earth in that one class to sustain them for many decades as voters, consumers, and sometimes even as teachers. Starting Point is produced by a group of authors working with the Science Education Resource Center. It contains dozens of detailed examples categorized by geoscience topic with advice about using them and assessing learning. Each example is linked to one of many modules, such as Game
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Evaluating OO example programs for CS1
DEFF Research Database (Denmark)
Börstler, Jürgen; Christensen, Henrik Bærbak; Bennedsen, Jens
2008-01-01
Example programs play an important role in learning to program. They work as templates, guidelines, and inspiration for learners when developing their own programs. It is therefore important to provide learners with high quality examples. In this paper, we discuss properties of example programs...... that might affect the teaching and learning of object-oriented programming. Furthermore, we present an evaluation instrument for example programs and report on initial experiences of its application to a selection of examples from popular introductory programming textbooks....
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Energy Technology Data Exchange (ETDEWEB)
NONE
1995-12-01
Several safety reports will be produced in the process of planning and constructing the system for disposal of high-level radioactive waste in Sweden. The present report gives a model, with detailed examples, of how these reports should be organized and what steps they should include. In the near future safety reports will deal with the encapsulation plant and the repository. Later reports will treat operation of the handling systems and the repository.
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Showing a model's eye movements in examples does not improve learning of problem-solving tasks
van Marlen, Tim; van Wermeskerken, Margot; Jarodzka, Halszka; van Gog, Tamara
2016-01-01
Eye movement modeling examples (EMME) are demonstrations of a computer-based task by a human model (e.g., a teacher), with the model's eye movements superimposed on the task to guide learners' attention. EMME have been shown to enhance learning of perceptual classification tasks; however, it is an
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Landscapes of Musical Metaphor and Musical Learning: The Example of Jazz Education
Bjerstedt, Sven
2015-01-01
Theoretical approaches to learning in practice-based jazz improvisation contexts include situated learning and ecological perspectives. This article focuses on how interest-driven, self-sustaining jazz learning activities can be matched against the results of a recent Swedish investigation based on extensive qualitative interviews with jazz…
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HTML5 web application development by example
Gustafson, JM
2013-01-01
The best way to learn anything is by doing. The author uses a friendly tone and fun examples to ensure that you learn the basics of application development. Once you have read this book, you should have the necessary skills to build your own applications.If you have no experience but want to learn how to create applications in HTML5, this book is the only help you'll need. Using practical examples, HTML5 Web Application Development by Example will develop your knowledge and confidence in application development.
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Jarodzka, Halszka; Balslev, Thomas; Holmqvist, Kenneth; Nyström, Marcus; Scheiter, Katharina; Gerjets, Peter; Eika, Berit
2010-01-01
Jarodzka, H., Balslev, T., Holmqvist, K., Nyström, M., Scheiter, K., Gerjets, P., & Eika, B. (2010, August). Learning perceptual aspects of diagnosis in medicine via eye movement modeling examples on patient video cases. Poster presented at the 32nd Annual Conference of the Cognitive Science
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Jarodzka, Halszka; Balslev, Thomas; Holmqvist, Kenneth; Nyström, Marcus; Scheiter, Katharina; Gerjets, Peter; Eika, Berit
2010-01-01
Jarodzka, H., Balslev, T., Holmqvist, K., Nyström, M., Scheiter, K., Gerjets, P., & Eika, B. (2010). Learning perceptual aspects of diagnosis in medicine via eye movement modeling examples on patient video cases. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the
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Schumm, Walter R.; Webb, Farrell J.; Castelo, Carlos S.; Akagi, Cynthia G.; Jensen, Erick J.; Ditto, Rose M.; Spencer Carver, Elaine; Brown, Beverlyn F.
2002-01-01
Discusses the use of historical events as examples for teaching college level statistics courses. Focuses on examples of the space shuttle Challenger, Pearl Harbor (Hawaii), and the RMS Titanic. Finds real life examples can bridge a link to short term experiential learning and provide a means for long term understanding of statistics. (KDR)
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Including everyone: A peer learning program that works for under-represented minorities?
Directory of Open Access Journals (Sweden)
Jacques van der Meer
2013-04-01
Full Text Available Peer learning has long been recognised as an effective way to induct first-year students into the academic skills required to succeed at university. One recognised successful model that has been extensively researched is the Supplemental Instruction (SI model; it has operated in the US since the mid-1970s. This model is commonly known in Australasia as the Peer Assisted Study Sessions (PASS program. Although there is a considerable amount of research into SI and PASS, very little has been published about the impact of peer learning on different student groups, for example indigenous and other ethnic groups. This article reports on the results from one New Zealand university of the effectiveness of PASS for Māori and Pasifika students. The questions this article seeks to address are whether attendance of the PASS program results in better final marks for these two groups of students, and whether the number of sessions attended has an impact on the final marks.
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Alfanet Worked Example: What is Greatness?
dr. Pierre Gorissen
2004-01-01
This document consists of an example of a Learning Design based on the What is Greatness example originally created by James Dalziel from WebMCQ using LAMS. Note: The example has been created in parallel with the actual development of the Alfanet system. So no claims can be made that the example
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Lyon, Steve W.; Walter, M. Todd; Jantze, Elin J.; Archibald, Josephine A.
2015-04-01
Structuring an education strategy capable of addressing the various spheres of ecohydrology is difficult due to the inter-disciplinary and cross-disciplinary nature of this emergent field. Clearly, there is a need for such strategies to accommodate more progressive educational concepts while highlighting a skills-based education. To demonstrate a possible way to develop courses that include such concepts, we offer a case-study or a 'how-you-can-do-it' example from an ecohydrology course recently co-taught by teachers from Stockholm University and Cornell University at Stockholm University's Navarino Environmental Observatory (NEO) in Costa Navarino, Greece. This course focused on introducing hydrology Master's students to some of the central concepts of ecohydrology while at the same time supplying process-based understanding relevant for characterizing evapotranspiration. As such, the main goal of the course was to explore central theories in ecohydrology and their connection to plant-water interactions and the water cycle in a semiarid environment. In addition to presenting this roadmap for ecohydrology course development, we explore the utility and effectiveness of adopting active teaching and learning strategies drawing from the suite of learn-by-doing, hands-on, and inquiry-based techniques in such a course. We test a gradient of 'activeness' across a sequence of three teaching and learning activities. Our results indicate that there was a clear advantage for utilizing active learning techniques in place of traditional lecture-based styles. In addition, there was a preference among the student towards the more 'active' techniques. This demonstrates the added value of incorporating even the simplest active learning approaches in our ecohydrology (or general) teaching.
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Lyon, S. W.; Walter, M. T.; Jantze, E. J.; Archibald, J. A.
2013-12-01
Structuring an education strategy capable of addressing the various spheres of ecohydrology is difficult due to the inter-disciplinary and cross-disciplinary nature of this emergent field. Clearly, there is a need for such strategies to accommodate more progressive educational concepts while highlighting a skills-based education. To demonstrate a possible way to develop courses that include such concepts, we offer a case-study or a ';how-you-can-do-it' example from an ecohydrology course recently co-taught by teachers from Stockholm University and Cornell University at Stockholm University's Navarino Environmental Observatory (NEO) in Costa Navarino, Greece. This course focused on introducing hydrology Master's students to some of the central concepts of ecohydrology while at the same time supplying process-based understanding relevant for characterizing evapotranspiration. As such, the main goal of the course was to explore central theories in ecohydrology and their connection to plant-water interactions and the water cycle in a semiarid environment. In addition to presenting this roadmap for ecohydrology course development, we explore the utility and effectiveness of adopting active teaching and learning strategies drawing from the suite of learn-by-doing, hands-on, and inquiry-based techniques in such a course. We test a gradient of ';activeness' across a sequence of three teaching and learning activities. Our results indicate that there was a clear advantage for utilizing active learning techniques in place of traditional lecture-based styles. In addition, there was a preference among the student towards the more ';active' techniques. This demonstrates the added value of incorporating even the simplest active learning approaches in our ecohydrology (or general) teaching.
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On the Quality of Examples in Introductory Java Textbooks
Borstler, Jurgen; Nordstrom, Marie; Paterson, James H.
2011-01-01
Example programs play an important role in the teaching and learning of programming. Students as well as teachers rank examples as the most important resources for learning to program. Example programs work as role models and must therefore always be consistent with the principles and rules we are teaching. However, it is difficult to find or…
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Bionics by examples 250 scenarios from classical to modern times
Nachtigall, Werner
2015-01-01
Bionics means learning from the nature for the development of technology. The science of "bionics" itself is classified into several sections, from materials and structures over procedures and processes until evolution and optimization. Not all these areas, or only a few, are really known in the public and also in scientific literature. This includes the Lotus-effect, converted to the contamination-reduction of fassades and the shark-shed-effect, converted to the resistance-reduction of airplanes. However, there are hundreds of highly interesting examples that contain the transformation of principles of the nature into technology. From the large number of these examples, 250 were selected for the present book according to "prehistory", "early-history", "classic" and "modern time". Most examples are new. Every example includes a printed page in a homogeneous arrangement. The examples from the field "modern time" are joint in blocks corresponding to the sub-disciplines of bionics.
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Encouraging Example Generation: A Teaching Experiment in First-Semester Calculus
Wagner, Elaine Rumsey; Orme, Susan Marla; Turner, Heidi Jean; Yopp, David
2017-01-01
Mathematicians use example generation to test and verify mathematical ideas; however, the processes through which undergraduates learn to productively generate examples are not well understood. We engaged calculus students in a teaching experiment designed to develop skills in productively generating examples to learn novel concepts. This article…
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Comparing Examples: WebAssign versus Textbook
Richards, Evan; Polak, Jeff; Hardin, Ashley; Risley, John, , Dr.
2005-11-01
Research shows students can learn from worked examples.^1 This pilot study compared two groups of students' performance (10 each) in solving physics problems. One group had access to interactive examples^2 released in WebAssign^3, while the other group had access to the counterpart textbook examples. Verbal data from students in problem solving sessions was collected using a think aloud protocol^4 and the data was analyzed using Chi's procedures.^5 An explanation of the methodology and results will be presented. Future phases of this pilot study based upon these results will also be discussed. ^1Atkinson, R.K., Derry, S.J., Renkl A., Wortham, D. (2000). ``Learning from Examples: Instructional Principles from the Worked Examples Research'', Review of Educational Research, vol. 70, n. 2, pp. 181-214. ^2Serway, R.A. & Faughn, J.S. (2006). College Physics (7^th ed.). Belmont, CA: Thomson Brooks/Cole. ^3 see www.webassign.net ^4 Ericsson, K.A. & Simon, H.A. (1984). Protocol Analysis: Verbal Reports as Data. Cambridge, Massachusetts: The MIT Press. ^5 Chi, Michelene T.H. (1997). ``Quantifying Qualitative Analyses of Verbal Data: A Practical Guide,'' The Journal of the Learning Sciences, vol. 6, n. 3, pp. 271-315.
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Machine Learning examples on Invenio
CERN. Geneva
2017-01-01
This talk will present the different Machine Learning tools that the INSPIRE is developing and integrating in order to automatize as much as possible content selection and curation in a subject based repository.
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van Wermeskerken, Margot; Grimmius, Bianca; van Gog, Tamara
2018-01-01
We investigated the effects of seeing the instructor's (i.e., the model's) face in video modeling examples on students' attention and their learning outcomes. Research with university students suggested that the model's face attracts students' attention away from what the model is doing, but this did not hamper learning. We aimed to investigate…
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Dennehy, Cornelius J.; Labbe, Steve; Lebsock, Kenneth L.
2010-01-01
Within the broad aerospace community the importance of identifying, documenting and widely sharing lessons learned during system development, flight test, operational or research programs/projects is broadly acknowledged. Documenting and sharing lessons learned helps managers and engineers to minimize project risk and improve performance of their systems. Often significant lessons learned on a project fail to get captured even though they are well known 'tribal knowledge' amongst the project team members. The physical act of actually writing down and documenting these lessons learned for the next generation of NASA GN&C engineers fails to happen on some projects for various reasons. In this paper we will first review the importance of capturing lessons learned and then will discuss reasons why some lessons are not documented. A simple proven approach called 'Pause and Learn' will be highlighted as a proven low-impact method of organizational learning that could foster the timely capture of critical lessons learned. Lastly some examples of 'lost' GN&C lessons learned from the aeronautics, spacecraft and launch vehicle domains are briefly highlighted. In the context of this paper 'lost' refers to lessons that have not achieved broad visibility within the NASA-wide GN&C CoP because they are either undocumented, masked or poorly documented in the NASA Lessons Learned Information System (LLIS).
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Hatcher, Gerry; Okuda, Craig
2016-01-01
The effects of climate change on the near shore coastal environment including ocean acidification, accelerated erosion, destruction of coral reefs, and damage to marine habitat have highlighted the need for improved equipment to study, monitor, and evaluate these changes [1]. This is especially true where areas of study are remote, large, or beyond depths easily accessible to divers. To this end, we have developed three examples of low cost and easily deployable real-time ocean observation platforms. We followed a scalable design approach adding complexity and capability as familiarity and experience were gained with system components saving both time and money by reducing design mistakes. The purpose of this paper is to provide information for the researcher, technician, or engineer who finds themselves in need of creating or acquiring similar platforms.
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Directory of Open Access Journals (Sweden)
A. Mreła
2015-05-01
Abstract The paper presents discussion about using mathematical functions in order to help academic teachers to verify acquirement of learning outcomes by students on the example of the major “geodesy and cartography”. It is relatively easy to build fuzzy relation describing levels of realization and validation learning outcomes during subject examinations and the fuzzy relation with students’ grades is already built by teachers, the problem is to combine these two relations to get one which describes the level of acquiring learning outcomes by students. There are two main requirements facing this combinations and the paper shows that the best combination according to these requirements is algebraic composition. Keywords: learning outcome, fuzzy relation, algebraic composition.
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Learning Algebra from Worked Examples
Lange, Karin E.; Booth, Julie L.; Newton, Kristie J.
2014-01-01
For students to be successful in algebra, they must have a truly conceptual understanding of key algebraic features as well as the procedural skills to complete a problem. One strategy to correct students' misconceptions combines the use of worked example problems in the classroom with student self-explanation. "Self-explanation" is the…
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Cluley, Victoria
2017-01-01
Background: It is now expected that projects addressing the lives of people with learning disabilities include people with learning disabilities in the research process. In the past, such research often excluded people with learning disabilities, favouring the opinions of family members, carers and professionals. The inclusion of the voices of…
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PAC-Learning from General Examples
DEFF Research Database (Denmark)
Fischer, Paul; Hoeffgen, K.- U.; Lefmann, H.
1997-01-01
dimension of a target class with respect to a sample class, which replaces the Vapnik-Chervonenkis dimension (V.N. Vapnik and A.Y. Chervonenkis, 1971). The investigation of structural aspects of the relative dimension is followed by its applications to learning environments. It turns out that computing...
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Active Learning by Querying Informative and Representative Examples.
Huang, Sheng-Jun; Jin, Rong; Zhou, Zhi-Hua
2014-10-01
Active learning reduces the labeling cost by iteratively selecting the most valuable data to query their labels. It has attracted a lot of interests given the abundance of unlabeled data and the high cost of labeling. Most active learning approaches select either informative or representative unlabeled instances to query their labels, which could significantly limit their performance. Although several active learning algorithms were proposed to combine the two query selection criteria, they are usually ad hoc in finding unlabeled instances that are both informative and representative. We address this limitation by developing a principled approach, termed QUIRE, based on the min-max view of active learning. The proposed approach provides a systematic way for measuring and combining the informativeness and representativeness of an unlabeled instance. Further, by incorporating the correlation among labels, we extend the QUIRE approach to multi-label learning by actively querying instance-label pairs. Extensive experimental results show that the proposed QUIRE approach outperforms several state-of-the-art active learning approaches in both single-label and multi-label learning.
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Killer "Killer Examples" for Design Patterns
DEFF Research Database (Denmark)
Caspersen, Michael Edelgaard; Alphonce, Carl; Decker, Adrienne
2007-01-01
Giving students an appreciation of the benefits of using design patterns and an ability to use them effectively in developing code presents several interesting pedagogical challenges. This paper discusses pedagogical lessons learned at the "Killer Examples" for Design Patterns and Objects First s...... series of workshops held at the Object Oriented Programming, Systems, Languages and Applications (OOPSLA) conference over the past four years. It also showcases three "killer examples" which can be used to support the teaching of design patterns.......Giving students an appreciation of the benefits of using design patterns and an ability to use them effectively in developing code presents several interesting pedagogical challenges. This paper discusses pedagogical lessons learned at the "Killer Examples" for Design Patterns and Objects First...
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Off-line learning from clustered input examples
Marangi, Carmela; Solla, Sara A.; Biehl, Michael; Riegler, Peter; Marinaro, Maria; Tagliaferri, Roberto
1996-01-01
We analyze the generalization ability of a simple perceptron acting on a structured input distribution for the simple case of two clusters of input data and a linearly separable rule. The generalization ability computed for three learning scenarios: maximal stability, Gibbs, and optimal learning, is
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Directory of Open Access Journals (Sweden)
Sabelnikova E. V.
2015-08-01
Full Text Available We discuss the interpretation of the concept of “learning outcomes”. Theoretical analysis widely represents the interpretations of the learning outcomes of a high school student: academic skills: understanding, application of knowledge to solve problems, synthesis, analysis and evaluation; basic skills and basic knowledge, and skills of a higher order and advanced knowledge; skills of a higher order represented as a system of critical thinking, analytic reasoning, problem solving and written communication; wide abilities interpreted as verbal, quantitative and spatial thinking, understanding, problem solving and decision making. We conclude that each considered approach distinguishes meta-subjective skills, i.e. skills to interact with the quality of information regardless of the context. The ability to measure the meta-skills is discussed on an example of the “Collegiate learning assessment”, realized in the United States
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Directory of Open Access Journals (Sweden)
Jahagirdar Deepa
2012-11-01
Full Text Available Abstract Background Patient reported outcome measures (PROMs are self-report measures of health status increasingly promoted for use in healthcare quality improvement. However people with low literacy skills or learning disabilities may find PROMs hard to complete. Our study investigated stakeholder views on the accessibility and use of PROMs to develop suggestions for more inclusive practice. Methods Taking PROMs recommended for chronic obstructive pulmonary disease (COPD as an example, we conducted 8 interviews with people with low literacy skills and/or learning disabilities, and 4 focus groups with 20 health professionals and people with COPD. Discussions covered the format and delivery of PROMs using the EQ-5D and St George Respiratory Questionnaire as prompts. Thematic framework analysis focused on three main themes: Accessibility, Ease of Use, and Contextual factors. Results Accessibility included issues concerning the questionnaire format, and suggestions for improvement included larger font sizes and more white space. Ease of Use included discussion about PROMs’ administration. While health professionals suggested PROMs could be completed in waiting rooms, patients preferred settings with more privacy and where they could access help from people they know. Contextual Factors included other challenges and wider issues associated with completing PROMs. While health professionals highlighted difficulties created by the system in managing patients with low literacy/learning disabilities, patient participants stressed that understanding the purpose of PROMs was important to reduce intimidation. Conclusions Adjusting PROMs’ format, giving an explicit choice of where patients can complete them, and clearly conveying PROMs’ purpose and benefit to patients may help to prevent inequality when using PROMs in health services.
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The Effect of Cooperative Learning: University Example
Tombak, Busra; Altun, Sertel
2016-01-01
Problem Statement: Motivation is a significant component of success in education, and it is best achieved by constructivist learning methods, especially cooperative Learning (CL). CL is a popular method among primary and secondary schools, but it is rarely used in higher education due to the large numbers of students and time restrictions. The…
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Collaborative Learning in Practice : Examples from Natural ...
International Development Research Centre (IDRC) Digital Library (Canada)
1 déc. 2010 ... Parmi ses publications récentes, citons Learning from the Field: Innovating China's Higher Education System (Foundation Books et CRDI, 2008) et Social and Gender Analysis in Natural Resource Management: Learning Studies and Lessons from Asia (Sage India, CAP et CRDI, 2006). Edición español: ...
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Multi-agent machine learning a reinforcement approach
Schwartz, H M
2014-01-01
The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Chapter 3 discusses two player games including two player matrix games with both pure and mixed strategies. Numerous algorithms and examples are presented. Chapter 4 covers learning in multi-player games, stochastic games, and Markov games, focusing on learning multi-pla
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Towards a Web-Based Handbook of Generic, Process-Oriented Learning Designs
Marjanovic, Olivera
2005-01-01
Process-oriented learning designs are innovative learning activities that include a set of inter-related learning tasks and are generic (could be used across disciplines). An example includes a problem-solving process widely used in problem-based learning today. Most of the existing process-oriented learning designs are not documented, let alone…
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Liberty, Jesse
2009-01-01
Learning Visual Basic .NET is a complete introduction to VB.NET and object-oriented programming. By using hundreds of examples, this book demonstrates how to develop various kinds of applications--including those that work with databases--and web services. Learning Visual Basic .NET will help you build a solid foundation in .NET.
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Montpetit-Tourangeau, Katherine; Dyer, Joseph-Omer; Hudon, Anne; Windsor, Monica; Charlin, Bernard; Mamede, Sílvia; van Gog, Tamara
2017-12-01
Health profession learners can foster clinical reasoning by studying worked examples presenting fully worked out solutions to a clinical problem. It is possible to improve the learning effect of these worked examples by combining them with other learning activities based on concept maps. This study investigated which combinaison of activities, worked examples study with concept map completion or worked examples study with concept map study, fosters more meaningful learning of intervention knowledge in physiotherapy students. Moreover, this study compared the learning effects of these learning activity combinations between novice and advanced learners. Sixty-one second-year physiotherapy students participated in the study which included a pre-test phase, a 130-min guided-learning phase and a four-week self-study phase. During the guided and self-study learning sessions, participants had to study three written worked examples presenting the clinical reasoning for selecting electrotherapeutic currents to treat patients with motor deficits. After each example, participants engaged in either concept map completion or concept map study depending on which learning condition they were randomly allocated to. Students participated in an immediate post-test at the end of the guided-learning phase and a delayed post-test at the end of the self-study phase. Post-tests assessed the understanding of principles governing the domain of knowledge to be learned (conceptual knowledge) and the ability to solve new problems that have similar (i.e., near transfer) or different (i.e., far transfer) solution rationales as problems previously studied in the examples. Learners engaged in concept map completion outperformed those engaged in concept map study on near transfer (p = .010) and far transfer (p concept map completion led to greater transfer performance than worked examples study combined with concept map study for both novice and advanced learners. Concept map completion
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Conversational Agents in E-Learning
Kerry, Alice; Ellis, Richard; Bull, Susan
This paper discusses the use of natural language or 'conversational' agents in e-learning environments. We describe and contrast the various applications of conversational agent technology represented in the e-learning literature, including tutors, learning companions, language practice and systems to encourage reflection. We offer two more detailed examples of conversational agents, one which provides learning support, and the other support for self-assessment. Issues and challenges for developers of conversational agent systems for e-learning are identified and discussed.
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Simulations with Elaborated Worked Example Modeling: Beneficial Effects on Schema Acquisition
Meier, Debra K.; Reinhard, Karl J.; Carter, David O.; Brooks, David W.
2008-01-01
Worked examples have been effective in enhancing learning outcomes, especially with novice learners. Most of this research has been conducted in laboratory settings. This study examined the impact of embedding elaborated worked example modeling in a computer simulation practice activity on learning achievement among 39 undergraduate students…
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EC6 safety enhancement - including impact of Fukushima lessons learned
Energy Technology Data Exchange (ETDEWEB)
Yu, S.; Zemdegs, R.; Boyle, S.; Soulard, M., E-mail: stephen.yu@candu.com [Candu Energy Inc., Mississauga, Ontario (Canada)
2012-09-15
The Enhanced CANDU 6 (EC6) is the new Generation III CANDU reactor design that meets the most up to date regulatory requirements and customer expectations. EC6 builds on the proven high performance design inch as the Qinshan CANDU 6 units and has made improvements to safety and operational performance, and has incorporated extensive operational feedback including Fukushima. The Fukushima Dai-ichi March 11, 2011 event has demonstrated the importance of defence-in-depth considerations for beyond-design basis events, including severe accidents. The EC6 design is based on the defence-in-depth principles and provides further design features that address the lessons learned from Fukushima. (author)
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Bryant, D P; Bryant, B R
1998-01-01
Cooperative learning (CL) is a common instructional arrangement that is used by classroom teachers to foster academic achievement and social acceptance of students with and without learning disabilities. Cooperative learning is appealing to classroom teachers because it can provide an opportunity for more instruction and feedback by peers than can be provided by teachers to individual students who require extra assistance. Recent studies suggest that students with LD may need adaptations during cooperative learning activities. The use of assistive technology adaptations may be necessary to help some students with LD compensate for their specific learning difficulties so that they can engage more readily in cooperative learning activities. A process for integrating technology adaptations into cooperative learning activities is discussed in terms of three components: selecting adaptations, monitoring the use of the adaptations during cooperative learning activities, and evaluating the adaptations' effectiveness. The article concludes with comments regarding barriers to and support systems for technology integration, technology and effective instructional practices, and the need to consider technology adaptations for students who have learning disabilities.
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Coertjens, Liesje; Donche, Vincent; De Maeyer, Sven; Vanthournout, Gert; Van Petegem, Peter
2017-01-01
Longitudinal data is almost always burdened with missing data. However, in educational and psychological research, there is a large discrepancy between methodological suggestions and research practice. The former suggests applying sensitivity analysis in order to the robustness of the results in terms of varying assumptions regarding the mechanism generating the missing data. However, in research practice, participants with missing data are usually discarded by relying on listwise deletion. To help bridge the gap between methodological recommendations and applied research in the educational and psychological domain, this study provides a tutorial example of sensitivity analysis for latent growth analysis. The example data concern students' changes in learning strategies during higher education. One cohort of students in a Belgian university college was asked to complete the Inventory of Learning Styles-Short Version, in three measurement waves. A substantial number of students did not participate on each occasion. Change over time in student learning strategies was assessed using eight missing data techniques, which assume different mechanisms for missingness. The results indicated that, for some learning strategy subscales, growth estimates differed between the models. Guidelines in terms of reporting the results from sensitivity analysis are synthesised and applied to the results from the tutorial example.
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Yadiannur, Mitra; Supahar
2017-01-01
This research aims to determine the feasibility and effectivity of mobile learning based Worked Example in Electric Circuits (WEIEC) application in improving the high school students' electric circuits interpretation ability on Direct Current Circuits materials. The research method used was a combination of Four-D Models and ADDIE model. The…
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An Example of Competence-Based Learning: Use of Maxima in Linear Algebra for Engineers
Diaz, Ana; Garcia, Alfonsa; de la Villa, Agustin
2011-01-01
This paper analyses the role of Computer Algebra Systems (CAS) in a model of learning based on competences. The proposal is an e-learning model Linear Algebra course for Engineering, which includes the use of a CAS (Maxima) and focuses on problem solving. A reference model has been taken from the Spanish Open University. The proper use of CAS is…
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Powers, Shelley
2008-01-01
Packed with best practices and examples of JavaScript use, Learning JavaScript provides complete, no-nonsense coverage of this quirky yet essential language for web development. You'll learn everything from primitive data types to complex features, including JavaScript elements involved with Ajax and dynamic page effects. By the end of the book, you'll be able to work with even the most sophisticated libraries and web applications.
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Learning by Example: Designing and Developing Linked Data Application
Tharani, Karim
2016-01-01
According to constructivist theory of learning, new knowledge is learned on the basis of what is already known by learners. Thus for an emerging and transformative technology such as Linked Data to be learned, the technology must be made relevant for learners and must be compatible with their skillset. Designing and developing Linked Data…
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Progress of the Architectural Competition: Learning Center, the Lausanne Example
Directory of Open Access Journals (Sweden)
Mirjana Rittmeyer
2006-07-01
Full Text Available Point of entry to the Ecole Polytechnique Fédérale de Lausanne (EPFL, the Learning Center will be a place to learn, to obtain information, and to live. Replacing and improving the old main library, this new building will gradually assimilate all EPFL department libraries collections and services, as they are integrated into a global information system. Conceived as the place for those who are learning, mainly students, who have no personal working area on the campus, it is designed to adapt itself to the ‘seasons’ of academic life throughout the year (flexibility and modularity of rooms, extended opening hours during exam periods. It will take into account group working habits (silence vs. noise, changes in the rhythm of student life (meals, working alone, discussions, etc., and other environmental factors. Of course the needs of EPFL staff and alumni, local industry and citizens have also been carefully considered in the design. By offering a multitude of community functions, such as a bookshop, cafeteria and restaurant services, and rooms for relaxation and discussion, the Learning Center will link the campus to the city. Areas devoted to exhibition and debate will also be included, enforcing its role as an interactive science showcase, in particular for those technologies related to the research and teaching of the EPFL. The presentation described the process and steps towards the actual realisation of such a vital public space: from the programme definition to the collaboration with the bureau of architects (SAANA, Tokyo who won the project competition, the speakers showed what are the challenges and lessons already taken when working on this major piece of architecture, indeed the heart of the transformation of the technical school build in the 1970s into a real 2000s campus.
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Two Undergraduate Process Modeling Courses Taught Using Inductive Learning Methods
Soroush, Masoud; Weinberger, Charles B.
2010-01-01
This manuscript presents a successful application of inductive learning in process modeling. It describes two process modeling courses that use inductive learning methods such as inquiry learning and problem-based learning, among others. The courses include a novel collection of multi-disciplinary complementary process modeling examples. They were…
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Examples of learning activities for Earth and Space Sciences in the new Italian National curriculum
Macario, Maddalena
2016-04-01
In the last few years, starting from 2010, science curricula were changed dramatically in the secondary Italian school as consequence of a radical law reform. In particular, Earth Science and Astronomy subjects have been shifted from the last to the previous school years; in addition, these subjects have been integrated with other natural sciences learning, such as biology and chemistry. As a consequence, Italian teachers felt forced to totally revise their teaching methods for all of these disciplines. The most demanding need was adapting content to younger learners, as those of the first years are, who usually do have neither pre-knowledge in physics nor high level maths skills. Secondly, content learning was progressively driven toward a greater attention to environmental issues in order to raise more awareness in learners about global changes as examples of fragile equilibrium of our planet. In this work some examples of activities are shown, to introduce students to some astronomical phenomena in a simpler way, which play a key role in influencing other Earth's events, in order to make pupils more conscious about how and to what extent our planet depends on space, at different time scales. The activities range from moon motions affecting tides, to secondary Earth motions, which are responsible for climate changes, to the possibility to find life forms in other parts of the Universe, to the possibility for humans to live in the space for future space missions. Students are involved in hands-on inquiry-based laboratories that scaffold both theoretic knowledge and practical skills for a deeper understanding of cause-effect relationships existing in the Earth.
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Directory of Open Access Journals (Sweden)
Taina M Wewer
2017-08-01
Full Text Available This article on principles and practices in Content and Language Integrated Learning (CLIL is also applicable for general foreign and second language instruction. Since there is no ‘one size fits all’ CLIL pedagogy, the origin of the article lies in the need of educators to obtain and exchange ideas of and tools for actual classroom practices (Pérez Cañado, 2017, and ensure that all key features of CLIL are present in instruction. Although there are a few handbooks available for launching CLIL and adopting CLIL pedagogy (e.g., Coyle, Hood, & Marsh, 2010; Mehisto, Marsh, & Frigols, 2008, these provide principles and general examples of content-based instruction at higher levels of education rather than more detailed advice on how to operate in the beginning phases with young language learners, hence the focus on primary education. The Observation Tool for Effective CLIL Teaching created by de Graaff, Koopman, Anikina, and Gerrit (2007 was chosen as the starting point and was complemented with three additional fields that were not markedly included in the original model: cultural aspects, affects, and assessment.
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Lyon, S. W.; Walter, M. T.; Jantze, E. J.; Archibald, J. A.
2012-08-01
Structuring an education strategy capable of addressing the various spheres of ecohydrology is difficult due to the inter-disciplinary and cross-disciplinary nature of this emergent field. Clearly, there is a need for such strategies to accommodate more progressive educational concepts while highlighting a skills-based education. To demonstrate a possible way to develop courses that include such concepts, we offer a case-study or a "how-you-can-do-it" example from an ecohydrology course recently co-taught by teachers from Stockholm University and Cornell University at the Navarino Environmental Observatory (NEO) in Costa Navarino, Greece. This course focused on introducing hydrology Master's students to some of the central concepts of ecohydrology while at the same time supplying process-based understanding relevant for characterizing evapotranspiration. As such, the main goal of the course was to explore central theories in ecohydrology and their connection to plant-water interactions and the water cycle in a semiarid environment. In addition to presenting this roadmap for ecohydrology course development, we explore the utility and effectiveness of adopting active teaching and learning strategies drawing from the suite of learn-by-doing, hands-on, and inquiry-based techniques in such a course. We test a gradient of "activeness" across a sequence of three teaching and learning activities. Our results indicate that there was a clear advantage for utilizing active learning techniques in place of traditional lecture-based styles. In addition, there was a preference among the student towards the more "active" techniques. This demonstrates the added value of incorporating even the simplest active learning approaches in our ecohydrology (or general) teaching.
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Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan
2018-01-01
This study aims to contribute to recent developments in empirical studies on students’ learning strategies, whereby the use of trace data is combined with self-report data to distinguish profiles of learning strategy use [3–5]. We do so in the context of an application of dispositional learning
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Directory of Open Access Journals (Sweden)
Ayse T. Daloglu
2018-01-01
Full Text Available Optimum design of braced steel space frames including soil-structure interaction is studied by using harmony search (HS and teaching-learning-based optimization (TLBO algorithms. A three-parameter elastic foundation model is used to incorporate the soil-structure interaction effect. A 10-storey braced steel space frame example taken from literature is investigated according to four different bracing types for the cases with/without soil-structure interaction. X, V, Z, and eccentric V-shaped bracing types are considered in the study. Optimum solutions of examples are carried out by a computer program coded in MATLAB interacting with SAP2000-OAPI for two-way data exchange. The stress constraints according to AISC-ASD (American Institute of Steel Construction-Allowable Stress Design, maximum lateral displacement constraints, interstorey drift constraints, and beam-to-column connection constraints are taken into consideration in the optimum design process. The parameters of the foundation model are calculated depending on soil surface displacements by using an iterative approach. The results obtained in the study show that bracing types and soil-structure interaction play very important roles in the optimum design of steel space frames. Finally, the techniques used in the optimum design seem to be quite suitable for practical applications.
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PBL and beyond: trends in collaborative learning.
Pluta, William J; Richards, Boyd F; Mutnick, Andrew
2013-01-01
Building upon the disruption to lecture-based methods triggered by the introduction of problem-based learning, approaches to promote collaborative learning are becoming increasingly diverse, widespread and generally well accepted within medical education. Examples of relatively new, structured collaborative learning methods include team-based learning and just-in-time teaching. Examples of less structured approaches include think-pair share, case discussions, and the flipped classroom. It is now common practice in medical education to employ a range of instructional approaches to support collaborative learning. We believe that the adoption of such approaches is entering a new and challenging era. We define collaborate learning by drawing on the broader literature, including Chi's ICAP framework that emphasizes the importance of sustained, interactive explanation and elaboration by learners. We distinguish collaborate learning from constructive, active, and passive learning and provide preliminary evidence documenting the growth of methods that support collaborative learning. We argue that the rate of adoption of collaborative learning methods will accelerate due to a growing emphasis on the development of team competencies and the increasing availability of digital media. At the same time, the adoption collaborative learning strategies face persistent challenges, stemming from an overdependence on comparative-effectiveness research and a lack of useful guidelines about how best to adapt collaborative learning methods to given learning contexts. The medical education community has struggled to consistently demonstrate superior outcomes when using collaborative learning methods and strategies. Despite this, support for their use will continue to expand. To select approaches with the greatest utility, instructors must carefully align conditions of the learning context with the learning approaches under consideration. Further, it is critical that modifications are made
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Unobtrusive Observation of Team Learning Attributes in Digital Learning
Directory of Open Access Journals (Sweden)
David C. Gibson
2018-05-01
Full Text Available This article presents a new framework for unobtrusive observation analytics of knowledge and skills-in-action through continuous collection of data from individuals while they interact with digital assets either as individuals or on problem-solving teams. The framework includes measures of the skill and knowledge areas of collaboration, creativity, personal learning, problem solving, and global sustainability, which are observed during natural production and use of communications, intentional artifacts, and resources in a digital learning space designed for self-directed and team-based learning challenges. The article describes the digital context for data collection and shows some example data and analyses.
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Individualized Learning Through Non-Linear use of Learning Objects: With Examples From Math and Stat
DEFF Research Database (Denmark)
Rootzén, Helle
2015-01-01
Our aim is to ensure individualized learning that is fun, inspiring and innovative. We believe that when you enjoy, your brain will open up and learning will be easier and more effective. The methods use a non-linear learning environment based on self-contained learning objects which are pieced t...
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Facilitation of learning: part 1.
Warburton, Tyler; Trish, Houghton; Barry, Debbie
2016-04-06
This article, the fourth in a series of 11, discusses the context for the facilitation of learning. It outlines the main principles and theories for understanding the process of learning, including examples which link these concepts to practice. The practical aspects of using these theories in a practice setting will be discussed in the fifth article of this series. Together, these two articles will provide mentors and practice teachers with knowledge of the learning process, which will enable them to meet the second domain of the Nursing and Midwifery Council's Standards to Support Learning and Assessment in Practice on facilitation of learning.
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Energy Technology Data Exchange (ETDEWEB)
Pecas Lopes, J.A. [Universidade do Porto, Porto (Portugal). Faculdade de Engenharia] Hatziargyriou, Nikos D. [National Technical University of Athens, Athens (Greece)
1994-12-31
This paper provides an overview of the application of `learning from examples` techniques like pattern recognition, artificial neural networks and decision trees, when used for fast dynamic security assessment. Problems concerning the system security evaluation relatively to transient stability and voltage stability are addressed with more details and references to research works in this field are briefly described. (author) 44 refs., 3 tabs.
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Python for probability, statistics, and machine learning
Unpingco, José
2016-01-01
This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and numerical results, is reproducible using the Python codes and their associated Jupyter/IPython notebooks, which are provided as supplementary downloads. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations. Modern Python modules like Pandas, Sympy, and Scikit-learn are applied to simulate and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, and regularization. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples. This book is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowl...
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Differential theory of learning for efficient neural network pattern recognition
Hampshire, John B., II; Vijaya Kumar, Bhagavatula
1993-09-01
We describe a new theory of differential learning by which a broad family of pattern classifiers (including many well-known neural network paradigms) can learn stochastic concepts efficiently. We describe the relationship between a classifier's ability to generate well to unseen test examples and the efficiency of the strategy by which it learns. We list a series of proofs that differential learning is efficient in its information and computational resource requirements, whereas traditional probabilistic learning strategies are not. The proofs are illustrated by a simple example that lends itself to closed-form analysis. We conclude with an optical character recognition task for which three different types of differentially generated classifiers generalize significantly better than their probabilistically generated counterparts.
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Moscariello, A.; Hoof, T.B. van; Kunakbayeva, G.; Veen, J.H. ten; Belt, F. van den; Twerda, A.; Peters, L.; Davis, P.; Williams, H.
2013-01-01
The Geological Model Calibration - Learnings from Integration of Reservoir Geology and Field Performance: example from the Upper Carboniferous Reservoirs of the Southern North Sea. Copyright © (2012) by the European Association of Geoscientists & Engineers All rights reserved.
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Video2vec Embeddings Recognize Events When Examples Are Scarce.
Habibian, Amirhossein; Mensink, Thomas; Snoek, Cees G M
2017-10-01
This paper aims for event recognition when video examples are scarce or even completely absent. The key in such a challenging setting is a semantic video representation. Rather than building the representation from individual attribute detectors and their annotations, we propose to learn the entire representation from freely available web videos and their descriptions using an embedding between video features and term vectors. In our proposed embedding, which we call Video2vec, the correlations between the words are utilized to learn a more effective representation by optimizing a joint objective balancing descriptiveness and predictability. We show how learning the Video2vec embedding using a multimodal predictability loss, including appearance, motion and audio features, results in a better predictable representation. We also propose an event specific variant of Video2vec to learn a more accurate representation for the words, which are indicative of the event, by introducing a term sensitive descriptiveness loss. Our experiments on three challenging collections of web videos from the NIST TRECVID Multimedia Event Detection and Columbia Consumer Videos datasets demonstrate: i) the advantages of Video2vec over representations using attributes or alternative embeddings, ii) the benefit of fusing video modalities by an embedding over common strategies, iii) the complementarity of term sensitive descriptiveness and multimodal predictability for event recognition. By its ability to improve predictability of present day audio-visual video features, while at the same time maximizing their semantic descriptiveness, Video2vec leads to state-of-the-art accuracy for both few- and zero-example recognition of events in video.
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Adaptive Learning in Medical Education: The Final Piece of Technology Enhanced Learning?
Sharma, Neel; Doherty, Iain; Dong, Chaoyan
2017-09-01
Technology enhanced learning (TEL) is now common practice in the field of medical education. One of the primary examples of its use is that of high fidelity simulation and computerised mannequins. Further examples include online learning modules, electronic portfolios, virtual patient interactions, massive open online courses and the flipped classroom movement. The rise of TEL has occurred primarily due to the ease of internet access enabling the retrieval and sharing of information in an instant. Furthermore, the compact nature of internet ready devices such as smartphones and laptops has meant that access to information can occur anytime and anywhere. From an educational perspective however, the current utilisation of TEL has been hindered by its lack of understanding of learners' needs. This is concerning, particularly as evidence highlights that during medical training, each individual learner has their own learning requirements and often achieves competency at different rates. In view of this, there has been interest in ensuring TEL is more learner aware and that the learning process should be more personalised. Adaptive learning can aim to achieve this by ensuring content is delivered according to the needs of the learner. This commentary highlights the move towards adaptive learning and the benefits of such an intervention.
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Bridging disciplines through problem based learning
DEFF Research Database (Denmark)
Stentoft, Diana
2011-01-01
This paper examines whether a problem based approach to students’ learning may support interdisciplinary education at university level, where students are required to engage with the complexities inherent in constructing knowledge across disciplinary boundaries. These complexities include students...... engaging with multiple and conflicting epistemologies, identification and contextualisation of problems involving several disciplines in their solution etc. A practical example found in the case of newly developed BSc and MSc programs in Techno-Anthropology is provided.The paper includes some examples...
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Stochastic gradient learning and instability: an example
Czech Academy of Sciences Publication Activity Database
Slobodyan, Sergey; Bogomolova, A.; Kolyuzhnov, Dmitri
2016-01-01
Roč. 20, č. 3 (2016), s. 777-790 ISSN 1365-1005 R&D Projects: GA ČR(CZ) GCP402/11/J018 Institutional support: PRVOUK-P23 Keywords : constant gain * adaptive learning * e-stability Subject RIV: AH - Economics Impact factor: 0.718, year: 2016
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An architecture for an autonomous learning robot
Tillotson, Brian
1988-01-01
An autonomous learning device must solve the example bounding problem, i.e., it must divide the continuous universe into discrete examples from which to learn. We describe an architecture which incorporates an example bounder for learning. The architecture is implemented in the GPAL program. An example run with a real mobile robot shows that the program learns and uses new causal, qualitative, and quantitative relationships.
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Can Social Learning Increase Learning Speed, Performance or Both?
Heinerman, J.V.; Stork, J.; Rebolledo Coy, M.A.; Hubert, J.G.; Eiben, A.E.; Bartz-Beielstein, Thomas; Haasdijk, Evert
2017-01-01
Social learning enables multiple robots to share learned experiences while completing a task. The literature offers contradicting examples of its benefits; robots trained with social learning reach a higher performance, an increased learning speed, or both, compared to their individual learning
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Bayesian Methods for the Physical Sciences. Learning from Examples in Astronomy and Physics.
Andreon, Stefano; Weaver, Brian
2015-05-01
Chapter 1: This chapter presents some basic steps for performing a good statistical analysis, all summarized in about one page. Chapter 2: This short chapter introduces the basics of probability theory inan intuitive fashion using simple examples. It also illustrates, again with examples, how to propagate errors and the difference between marginal and profile likelihoods. Chapter 3: This chapter introduces the computational tools and methods that we use for sampling from the posterior distribution. Since all numerical computations, and Bayesian ones are no exception, may end in errors, we also provide a few tips to check that the numerical computation is sampling from the posterior distribution. Chapter 4: Many of the concepts of building, running, and summarizing the resultsof a Bayesian analysis are described with this step-by-step guide using a basic (Gaussian) model. The chapter also introduces examples using Poisson and Binomial likelihoods, and how to combine repeated independent measurements. Chapter 5: All statistical analyses make assumptions, and Bayesian analyses are no exception. This chapter emphasizes that results depend on data and priors (assumptions). We illustrate this concept with examples where the prior plays greatly different roles, from major to negligible. We also provide some advice on how to look for information useful for sculpting the prior. Chapter 6: In this chapter we consider examples for which we want to estimate more than a single parameter. These common problems include estimating location and spread. We also consider examples that require the modeling of two populations (one we are interested in and a nuisance population) or averaging incompatible measurements. We also introduce quite complex examples dealing with upper limits and with a larger-than-expected scatter. Chapter 7: Rarely is a sample randomly selected from the population we wish to study. Often, samples are affected by selection effects, e.g., easier
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Operant Conditioning and Learning: Examples, Sources, Technology.
Pedrini, Bonnie C.; Pedrini, D. T.
The purpose of this paper is to relate psychology to teaching generally, and to relate behavior shaping to curriculum, specifically. Focusing on operant conditioning and learning, many studies are cited which illustrate some of the work being done toward effectively shaping or modifying student behavior whether in terms of subject matter or…
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Introducing Machine Learning Concepts with WEKA.
Smith, Tony C; Frank, Eibe
2016-01-01
This chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple data set, then proceeds to explain how one might approach a bioinformatics problem. Finally, it includes a brief summary of machine learning algorithms for other types of data mining problems, and provides suggestions about where to find additional information.
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DEFF Research Database (Denmark)
Hansen, Bodil Winther; Hatt, Camusa
The university have years of experience with interprofessional student groups, from seven different health professions, learning through participating in an interprofessional module. Evaluations have shown a continuos massive challenge concerning the student´s motivation for learning...... and their level of participation in this three-week course of “Conflict management”. To meet these challenges the university started a project within the frame of problembased learning and drama games. The idea was to develop strategies to motivate students and create a dynamic and stimulating learning...... as an important aspect of carrying out a successful PBL course. Among the students, there was a significantly higher level of satisfaction in the experimental classes than in the comparison classes, regarding 10 out of 12 questions asked about both academic achievement and satisfaction with the learning...
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Evaluating groups in learning disabilities.
Chia, S H
Groupwork can be effective in meeting a range of needs presented by students with profound learning disabilities. This article describes the process involved in setting up groups for these students, and includes examples of a group session and methods for evaluating groupwork.
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R statistical application development by example : beginner's guide
Tattar, Narayanachart Prabhanjan
2013-01-01
Full of screenshots and examples, this Beginner's Guide by Example will teach you practically everything you need to know about R statistical application development from scratch. You will begin learning the first concepts of statistics in R which is vital in this fast paced era and it is also a bargain as you do not need to do a preliminary course on the subject.
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Promoting ‘Learning’ Literacy through Picturebooks: Learning How to Learn
Directory of Open Access Journals (Sweden)
Gail Ellis
2016-11-01
Full Text Available Picturebooks provide a rich and motivating resource to develop children’s early language learning such as basic understanding, vocabulary and phrases related to the content of a story, but they can also be used to develop multiple literacies. These include visual, emotional, cultural, nature, digital, moving image literacy and ‘learning’ literacy, which is linked to learning how to learn and learner autonomy. ‘Learning’ literacy is described as an ethos, a culture and a way of life and involves being ready to develop learning capacities and the behaviours individuals need, including being willing to learn continuously, as competencies essential to thriving in a globally connected, digitally driven world. The Important Book (Brown & Weisgard, 1949 is used as an example of how learning literacy can be integrated into primary English language pedagogy by applying the Plan, Do, Review model of reflection. Working through the three stages of the Plan Do Review cycle, children are informed of the aims of the activity; they identify success criteria, draft and refine their own paragraphs about an important object, review what they did, what they learnt and how they learnt and then assess their performance to identify next steps. This process enables the teacher to create learning environments that develop learning literacy, by providing opportunities for systematic reflection and experimentation and the development of metacognitive and cognitive learning strategies.
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Toolkits and Libraries for Deep Learning.
Erickson, Bradley J; Korfiatis, Panagiotis; Akkus, Zeynettin; Kline, Timothy; Philbrick, Kenneth
2017-08-01
Deep learning is an important new area of machine learning which encompasses a wide range of neural network architectures designed to complete various tasks. In the medical imaging domain, example tasks include organ segmentation, lesion detection, and tumor classification. The most popular network architecture for deep learning for images is the convolutional neural network (CNN). Whereas traditional machine learning requires determination and calculation of features from which the algorithm learns, deep learning approaches learn the important features as well as the proper weighting of those features to make predictions for new data. In this paper, we will describe some of the libraries and tools that are available to aid in the construction and efficient execution of deep learning as applied to medical images.
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Börchers, M; Tipold, A; Pfarrer, Ch; Fischer, M R; Ehlers, J P
2010-01-01
New teaching methods such as e-learning, are increasingly used to support common methods such as lectures, seminars and practical training in universities providing education in veterinary medicine. In the current study, the acceptance of e-learning in the example of the CASUS system by veterinarians as well as students of veterinary medicine of all German-speaking universities was analyzed. Material und methods: For this purpose an online evaluation questionnaire was developed. Members of the target groups were informed by e-mail and references in professional journals, as well as through veterinarian exchange platforms on the internet. Additionally, 224 students' final anatomy marks were compared and correlated to the utilization of CASUS to gain an important insight for the development of new teaching practices in the teaching of veterinary medicine. In total 1581 questionnaires were evaluated. A good acceptance regarding new teaching practices was found, although the classical textbook is still the most important instrument for imparting knowledge. The degree of utilization of e-learning strongly depends on its integration into the teaching content. CASUS is regarded as an efficient teaching method, with over 90% of the respondents indicating a strong desire to expand the number of case studies. Due to the present low degree of integration into the teaching content, no significant correlation could be found between the utilization of anatomy case studies and the final anatomy mark. However, based on their subjective perception, the students reported a high level of success in their study results with the likely effect of supporting increasing self-assurance in the situation of examinations. With the help of e-learning, educational objectives can be achieved that are not attainable by traditional teaching methods, e.g. the review of individual improvements by using the integrated feedback-function of e-learning programs. However, e-learning is not able to
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Learning during processing Word learning doesn’t wait for word recognition to finish
Apfelbaum, Keith S.; McMurray, Bob
2017-01-01
Previous research on associative learning has uncovered detailed aspects of the process, including what types of things are learned, how they are learned, and where in the brain such learning occurs. However, perceptual processes, such as stimulus recognition and identification, take time to unfold. Previous studies of learning have not addressed when, during the course of these dynamic recognition processes, learned representations are formed and updated. If learned representations are formed and updated while recognition is ongoing, the result of learning may incorporate spurious, partial information. For example, during word recognition, words take time to be identified, and competing words are often active in parallel. If learning proceeds before this competition resolves, representations may be influenced by the preliminary activations present at the time of learning. In three experiments using word learning as a model domain, we provide evidence that learning reflects the ongoing dynamics of auditory and visual processing during a learning event. These results show that learning can occur before stimulus recognition processes are complete; learning does not wait for ongoing perceptual processing to complete. PMID:27471082
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How Dispositional Learning Analytics helps understanding the worked-example principle
Tempelaar, Dirk; Sampson, Demetrios G.; Spector, J. Michael; Ifenthaler, Dirk; Isaías, Pedro
2017-01-01
This empirical study aims to demonstrate how Dispositional Learning Analytics can contribute in the investigation of the effectiveness of didactical scenarios in authentic settings, where previous research has mostly been laboratory based. Using a showcase based on learning processes of 1080
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Neural networks and statistical learning
Du, Ke-Lin
2014-01-01
Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardw...
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Statistical learning in high energy and astrophysics
International Nuclear Information System (INIS)
Zimmermann, J.
2005-01-01
This thesis studies the performance of statistical learning methods in high energy and astrophysics where they have become a standard tool in physics analysis. They are used to perform complex classification or regression by intelligent pattern recognition. This kind of artificial intelligence is achieved by the principle ''learning from examples'': The examples describe the relationship between detector events and their classification. The application of statistical learning methods is either motivated by the lack of knowledge about this relationship or by tight time restrictions. In the first case learning from examples is the only possibility since no theory is available which would allow to build an algorithm in the classical way. In the second case a classical algorithm exists but is too slow to cope with the time restrictions. It is therefore replaced by a pattern recognition machine which implements a fast statistical learning method. But even in applications where some kind of classical algorithm had done a good job, statistical learning methods convinced by their remarkable performance. This thesis gives an introduction to statistical learning methods and how they are applied correctly in physics analysis. Their flexibility and high performance will be discussed by showing intriguing results from high energy and astrophysics. These include the development of highly efficient triggers, powerful purification of event samples and exact reconstruction of hidden event parameters. The presented studies also show typical problems in the application of statistical learning methods. They should be only second choice in all cases where an algorithm based on prior knowledge exists. Some examples in physics analyses are found where these methods are not used in the right way leading either to wrong predictions or bad performance. Physicists also often hesitate to profit from these methods because they fear that statistical learning methods cannot be controlled in a
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Statistical learning in high energy and astrophysics
Energy Technology Data Exchange (ETDEWEB)
Zimmermann, J.
2005-06-16
This thesis studies the performance of statistical learning methods in high energy and astrophysics where they have become a standard tool in physics analysis. They are used to perform complex classification or regression by intelligent pattern recognition. This kind of artificial intelligence is achieved by the principle ''learning from examples'': The examples describe the relationship between detector events and their classification. The application of statistical learning methods is either motivated by the lack of knowledge about this relationship or by tight time restrictions. In the first case learning from examples is the only possibility since no theory is available which would allow to build an algorithm in the classical way. In the second case a classical algorithm exists but is too slow to cope with the time restrictions. It is therefore replaced by a pattern recognition machine which implements a fast statistical learning method. But even in applications where some kind of classical algorithm had done a good job, statistical learning methods convinced by their remarkable performance. This thesis gives an introduction to statistical learning methods and how they are applied correctly in physics analysis. Their flexibility and high performance will be discussed by showing intriguing results from high energy and astrophysics. These include the development of highly efficient triggers, powerful purification of event samples and exact reconstruction of hidden event parameters. The presented studies also show typical problems in the application of statistical learning methods. They should be only second choice in all cases where an algorithm based on prior knowledge exists. Some examples in physics analyses are found where these methods are not used in the right way leading either to wrong predictions or bad performance. Physicists also often hesitate to profit from these methods because they fear that statistical learning methods cannot
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Collaborative Learning in Practice: Examples from Natural Resource ...
International Development Research Centre (IDRC) Digital Library (Canada)
2010-12-01
Dec 1, 2010 ... Case studies show how, through joint efforts with researchers and other actors, local ... address and learn from challenges in managing natural resources. ... health, and health systems research relevant to the emerging crisis.
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Using Cooperative Learning To Improve Reading and Writing in Language Arts.
Bromley, Karen; Modlo, Marcia
1997-01-01
Deals with S. Kagan's (1990) structural approach to cooperative learning and its application to language arts. Offers detailed descriptions of several cooperative learning structures, including Numbered Heads Together, Roundtable, Think-Pair-Share, Corners, and others. Provides examples from actual classroom settings, along with various teacher…
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Seamless Learning Environments in Higher Education with Mobile Devices and Examples
Marín, Victoria I.; Jääskelä, Päivikki; Häkkinen, Päivi; Juntunen, Merja; Rasku-Puttonen, Helena; Vesisenaho, Mikko
2016-01-01
The use of seamless learning environments that have the potential to support lifelong learning anytime and anywhere has become a reality. In this sense, many educational institutions have started to consider introducing seamless learning environments into their programs. The aim of this study is to analyze how various educational university…
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Measuring strategic control in implicit learning: how and why?
Norman, Elisabeth
2015-01-01
Several methods have been developed for measuring the extent to which implicitly learned knowledge can be applied in a strategic, flexible manner. Examples include generation exclusion tasks in Serial Reaction Time (SRT) learning (Goschke, 1998; Destrebecqz and Cleeremans, 2001) and 2-grammar classification tasks in Artificial Grammar Learning (AGL; Dienes et al., 1995; Norman et al., 2011). Strategic control has traditionally been used as a criterion for determining whether acquired knowledg...
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Lehman, Rosemary
2007-01-01
This chapter looks at the development and nature of learning objects, meta-tagging standards and taxonomies, learning object repositories, learning object repository characteristics, and types of learning object repositories, with type examples. (Contains 1 table.)
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Project Interface Requirements Process Including Shuttle Lessons Learned
Bauch, Garland T.
2010-01-01
Most failures occur at interfaces between organizations and hardware. Processing interface requirements at the start of a project life cycle will reduce the likelihood of costly interface changes/failures later. This can be done by adding Interface Control Documents (ICDs) to the Project top level drawing tree, providing technical direction to the Projects for interface requirements, and by funding the interface requirements function directly from the Project Manager's office. The interface requirements function within the Project Systems Engineering and Integration (SE&I) Office would work in-line with the project element design engineers early in the life cycle to enhance communications and negotiate technical issues between the elements. This function would work as the technical arm of the Project Manager to help ensure that the Project cost, schedule, and risk objectives can be met during the Life Cycle. Some ICD Lessons Learned during the Space Shuttle Program (SSP) Life Cycle will include the use of hardware interface photos in the ICD, progressive life cycle design certification by analysis, test, & operations experience, assigning interface design engineers to Element Interface (EI) and Project technical panels, and linking interface design drawings with project build drawings
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Exploring links between foundation phase teachers’ content knowledge and their example spaces
Directory of Open Access Journals (Sweden)
Samantha Morrison
2013-12-01
Full Text Available This paper explores two foundation phase teachers’ example spaces (a space in the mind where examples exist when teaching number-related topics in relation to snapshots of their content knowledge (CK. Data was collected during a pilot primary maths for teaching course that included assessments of teacher content knowledge (CK. An analysis of a content-knowledge focused pre-test developed for the larger study indicated a relatively high score for one teacher and a low score for the other. Using Rowland’s (2008 framework, an analysis of classroom practice showed associations between a higher CK and the extent of a teacher’s example space and more coherent connections between different representational forms. Although no hard claims or generalisations of the link between teachers’ example spaces and their level of mathematics content knowledge can be made here, this study reinforces evidence of the need to increase teachers’ CK from a pedagogic perspective in order to raise the level of mathematics teaching and learning in the South African landscape.
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Eclipse plugin development by example beginner's guide
Blewitt, Alex
2013-01-01
A Beginner's Guide following the ""by Example"" approach. There will be 5-8 major examples that will be used in the book to develop advanced plugins with the Eclipse IDE.This book is for Java developers who are familiar with Eclipse as a Java IDE and are interested in learning how to develop plug-ins for Eclipse. No prior knowledge of Eclipse plug-in development or OSGi is necessary, although you are expected to know how to create, run, and debug Java programs in Eclipse.
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Information literacy experiencies inside virtual learning environments
Directory of Open Access Journals (Sweden)
Patricia Hernández Salazar
2016-03-01
Full Text Available Objective. Suggest the use of virtual learning environments as an Information Literacy (IL alternative. Method. Analysis of the main elements of web sites. To achieve this purpose the article includes the relationship between IL and the learning virtual environment (by defining both phrases; phases to create virtual IL programs; processes to elaborate didactic media; the applications that may support this plan; and the description of eleven examples of learning virtual environments IL experiences from four countries (Mexico, United States of America, Spain and United Kingdom these examples fulfill the conditions expressed. Results. We obtained four comparative tables examining five elements of each experience: objectives; target community; institution; country; and platform used. Conclusions. Any IL proposal should have a clear definition; IL experiences have to follow a didactic systematic process; described experiences are based on IL definition; the experiences analyzed are similar; virtual learning environments can be used as alternatives of IL.
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Directory of Open Access Journals (Sweden)
Bertil Haack
2010-02-01
Full Text Available The MOPEM project includes two fixed scenarios that have been defined to convey the idea of "learning paths". Our aim in this paper is to demonstrate the contexts and conditions for flexible learning paths that can be tailored to meet individual needs. The concept of this kind of specialised path is to enable learners to individualise the learning process and to adjust it to their personal needs. We will outline the background and pro- vide examples to explain the concept of learning stations which we use in our four courses: Online Marketing, CRM Systems, Business Communications and Event Marketing. This idea of "freely" combining subject matter naturally leads to the ques- tion of multi-applicability for the learning blocks in various educational contexts. The answers to this question are interest- ing not only in terms of the feasibility of learning paths from a content and didactic point of view, but also with regard to the economic viability of E-Learning or Blended Learning Systems, which ultimately require technical implementation. In addition we will present some first thoughts on the design of a prototype "Content Pool". It would, however, only make sense to develop and implement this within the scope of a follow-up project.
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The e-MapScholar project—an example of interoperability in GIScience education
Purves, R. S.; Medyckyj-Scott, D. J.; Mackaness, W. A.
2005-03-01
The proliferation of the use of digital spatial data in learning and teaching provides a set of opportunities and challenges for the development of e-learning materials suitable for use by a broad spectrum of disciplines in Higher Education. Effective e-learning materials must both provide engaging materials with which the learner can interact and be relevant to the learners' disciplinary and background knowledge. Interoperability aims to allow sharing of data and materials through the use of common agreements and specifications. Shared learning materials can take advantage of interoperable components to provide customisable components, and must consider issues in sharing data across institutional borders. The e-MapScholar project delivers teaching materials related to spatial data, which are customisable with respect to both context and location. Issues in the provision of such interoperable materials are discussed, including suitable levels of granularity of materials, the provision of tools to facilitate customisation and mechanisms to deliver multiple data sets and the metadata issues related to such materials. The examples shown make extensive use of the OpenGIS consortium specifications in the delivery of spatial data.
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FPGA prototyping by Verilog examples Xilinx Spartan-3 version
Chu, Pong P
2008-01-01
FPGA Prototyping Using Verilog Examples will provide you with a hands-on introduction to Verilog synthesis and FPGA programming through a "learn by doing" approach. By following the clear, easy-to-understand templates for code development and the numerous practical examples, you can quickly develop and simulate a sophisticated digital circuit, realize it on a prototyping device, and verify the operation of its physical implementation. This introductory text that will provide you with a solid foundation, instill confidence with rigorous examples for complex systems and prepare you for future development tasks.
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The Learning Journal Bridge: From Classroom Concepts to Leadership Practices
Maellaro, Rosemary
2013-01-01
The value of reflective writing assignments as learning tools for business students has been well-established. While the management education literature includes numerous examples of such assignments that are based on Kolb's (1984) experiential learning model, many of them engage only the first two phases of the model. When students do not move…
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An example of active learning in Aerospace Engineering
Brugemann, V.P.; Brummelen, van E.H.; Melkert, J.A.; Kamp, A.; Saunders-Smits, G.N.; Reith, B.A.; Zandbergen, B.T.C.; Graaf, de E.; Saunders-Smits, G.N.; Nieweg, M.R.
2005-01-01
This paper is a showcase for an on-going active learning capstone design project in the BSe. programme at the Faculty of Aerospace Engineering at Delft University of Technology. In multi-disciplinary teams supervised by tutors from different backgrounds students work towards an Aerospace (related)
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Fredlund, T.; Linder, C.; Airey, J.
2015-09-01
In this article we characterize transient learning challenges as learning challenges that arise out of teaching situations rather than conflicts with prior knowledge. We propose that these learning challenges can be identified by paying careful attention to the representations that students produce. Once a transient learning challenge has been identified, teachers can create interventions to address it. By illustration, we argue that an appropriate way to design such interventions is to create variation around the disciplinary-relevant aspects associated with the transient learning challenge.
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Symposium: Narrative exploration of learning and career decisions across 7 EU countries
DEFF Research Database (Denmark)
Mulvey, Rachel; Brown, Alan; Bimrose, Jenny
meaning around learning and skills development in relation to work and employment. All participants were interviewed individually, then a full transcript of the interview was produced. Each country research team analysed these interviews to identify themes. Some themes were born out of the particular...... in continuing vocational education. Analysis across the whole project sample led to the articulation of major themes around learning and career decision-making. The learning themes incorporated complementary perspectives on how individuals make meaning of their experience including: engaging with learning...... was consideration of the ways in which learning contributed to positive labour market outcomes. There were many examples of participants in all seven countries who had previously or were currently in the process of restructuring careers - along with examples of promising practice in this regard....
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Fonger, Nicole L.; Stephens, Ana; Blanton, Maria; Isler, Isil; Knuth, Eric; Gardiner, Angela Murphy
2018-01-01
Learning progressions have been demarcated by some for science education, or only concerned with levels of sophistication in student thinking as determined by logical analyses of the discipline. We take the stance that learning progressions can be leveraged in mathematics education as a form of curriculum research that advances a linked…
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Workplaces as Transformative Learning Spaces
DEFF Research Database (Denmark)
Maslo, Elina
2010-01-01
some other examples on “successful learning” from the formal, informal and non-formal learning environments, trying to prove those criteria. This presentation provides a view on to new examples on transformative learning spaces we discovered doing research on Workplace Learning in Latvia as a part......Abstract to the Vietnam Forum on Lifelong Learning: Building a Learning Society Hanoi, 7-8 December 2010 Network 2: Competence development as Workplace Learning Title of proposal: Workplaces as Transformative Learning Spaces Author: Elina Maslo, dr. paed., University of Latvia, elina@latnet.lv Key...... words: learning, lifelong learning, adult learning, workplace learning, transformative learning spaces During many years of research on lifelong foreign language learning with very different groups of learners, we found some criteria, which make learning process successful. Since then we tried to find...
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Booth, Julie L.; Lange, Karin E.; Koedinger, Kenneth R.; Newton, Kristie J.
2013-01-01
In a series of two "in vivo" experiments, we examine whether correct and incorrect examples with prompts for self-explanation can be effective for improving students' conceptual understanding and procedural skill in Algebra when combined with guided practice. In Experiment 1, students working with the Algebra I Cognitive Tutor were randomly…
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DEFF Research Database (Denmark)
Pedersen, Kamilla; Holdgaard, Martin Møller; Paltved, Charlotte
2017-01-01
' 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....... 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. CONCLUSION: The format of patient cases included in teaching may have a substantial impact...... unintended stigma and influence an authoritative approach in medical students towards managing patients in clinical psychiatry....
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Two bridges between biology and learning
Directory of Open Access Journals (Sweden)
Jorun Nyléhn
2016-04-01
Full Text Available Human biology, in terms of organization of our brains and our evolutionary past, constrains and enables learning. Two examples where neurobiology and evolution influences learning are given and discussed in relation to education: mirror neurons and adaptive memory. Mirror neurons serves imitation and understanding of other peoples intentions. Adaptive memory implies that our memory is an adaptation influenced by our evolutionary past, enabling us to solve problems in the present and in the future. Additionally, the aim is to contribute to bridges between natural and social sciences in an attempt to achieve an improved understanding of learning. The relevance of perspectives on learning founded in biology are discussed, and the article argues for including biological perspectives in discussions of education and learning processes.
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Prime Example Ingress Reframing the Pervasive Game Design Framework (PGDF
Directory of Open Access Journals (Sweden)
Heinrich Söbke
2017-06-01
Full Text Available The growing availability of mobile communication infrastructure over the last decade has contributed significantly to the maturity of Pervasive Gaming. The massive success of games such as Ingress and Pokémon Go made pervasive gaming a viable option for transforming learning. By its adaptability to location and context, pervasive technology is a valuable support for the design of engaging learning experiences. Despite profound examples of pervasive gaming as learning tool, there is still a lack of reliable methodologies to construct purposeful pervasive learning experiences. The Pervasive Game Design Framework (PGDF is intended to fill this gap. In this article, we present the PGDF using the example of Ingress. Ingress is a prominent pervasive game, as it has received huge attention since its appearance in 2012. A large community of players and third-party-tool suppliers has created a rich set of experiences since then. In this research, we examine Ingress according to PGDF’s categories based on a survey among long-term Ingress players (N=133. Founded on this analysis we identify three main benefits for Ingress players. Furthermore, we discuss the consequences of these findings on the PGDF. Summarizing, this work strengthens the applicability of the PGDF, in order to enable the construction of enriched pervasive learning experiences.
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ter Vrugte, Judith; de Jong, Anthonius J.M.; Vandercruysse, Sylke; Wouters, Pieter; van Oostendorp, Herre; Elen, Jan
This study addresses the added value of faded worked examples in a computer game-based learning environment. The faded worked examples were introduced to encourage active selection and processing of domain content in the game. The content of the game was proportional reasoning and participants were
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Learn with SAT to Minimize Büchi Automata
Directory of Open Access Journals (Sweden)
Stephan Barth
2012-10-01
Full Text Available We describe a minimization procedure for nondeterministic Büchi automata (NBA. For an automaton A another automaton A_min with the minimal number of states is learned with the help of a SAT-solver. This is done by successively computing automata A' that approximate A in the sense that they accept a given finite set of positive examples and reject a given finite set of negative examples. In the course of the procedure these example sets are successively increased. Thus, our method can be seen as an instance of a generic learning algorithm based on a "minimally adequate teacher'' in the sense of Angluin. We use a SAT solver to find an NBA for given sets of positive and negative examples. We use complementation via construction of deterministic parity automata to check candidates computed in this manner for equivalence with A. Failure of equivalence yields new positive or negative examples. Our method proved successful on complete samplings of small automata and of quite some examples of bigger automata. We successfully ran the minimization on over ten thousand automata with mostly up to ten states, including the complements of all possible automata with two states and alphabet size three and discuss results and runtimes; single examples had over 100 states.
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Pi, Zhongling; Hong, Jianzhong
2016-01-01
Video podcasts have become one of the fastest developing trends in learning and teaching. The study explored the effect of the presenting mode of educational video podcasts on the learning process and learning outcomes. Prior to viewing a video podcast, the 94 Chinese undergraduates participating in the study completed a demographic questionnaire…
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Implementing US Department of Energy lessons learned programs. Volume 2
Energy Technology Data Exchange (ETDEWEB)
NONE
1995-08-01
The DOE Lessons Learned Handbook is a two-volume publication developed to supplement the DOE Lessons Learned Standard (DOE-STD-7501-95) with information that will organizations in developing or improving their lessons learned programs. Volume 1 includes greater detail than the Standard in areas such as identification and documentation of lessons learned; it also contains sections on specific processes such as training and performance measurement. Volume 2 (this document) contains examples of program documents developed by existing lessons learned programs as well as communications material, functional categories, transmittal documents, sources of professional and industry lessons learned, and frequently asked questions about the Lessons Learned List Service.
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Enhancing Learning within the 3-D Virtual Learning Environment
Shirin Shafieiyoun; Akbar Moazen Safaei
2013-01-01
Today’s using of virtual learning environments becomes more remarkable in education. The potential of virtual learning environments has frequently been related to the expansion of sense of social presence which is obtained from students and educators. This study investigated the effectiveness of social presence within virtual learning environments and analysed the impact of social presence on increasing learning satisfaction within virtual learning environments. Second Life, as an example of ...
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2014-06-01
how educational best practices can be applied to increase student engagement , especially in a distance learning setting. While the JCSP DL greatly... student engagement in a distance setting. Some examples include incorporating simulations to help solve complex problems and develop deeper levels of...educational best practices can be applied to increase student engagement , especially in a distance learning setting. Adult Learning Theories and
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Tomasello, Michael
2016-01-01
M. Tomasello, A. Kruger, and H. Ratner (1993) proposed a theory of cultural learning comprising imitative learning, instructed learning, and collaborative learning. Empirical and theoretical advances in the past 20 years suggest modifications to the theory; for example, children do not just imitate but overimitate in order to identify and…
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Teaching Service Learning in the Geosciences: An On the Cutting Edge Workshop Report
Bruckner, M. Z.; Laine, E. P.; Mogk, D. W.; O'Connell, S.; Kirk, K. B.
2010-12-01
Service learning is an instructional method that combines community service and academic instruction within the context of an established academic course. It is a particularly effective approach that uses active and experiential learning to develop the academic skills required of a course of study and to simultaneously address authentic community needs. Service learning projects can energize and motivate students by engaging a sense of civic responsibility by working in concert with community partners. The geosciences provide abundant opportunities to develop service learning projects on topics related to natural hazards, resources, land use, water quality, community planning, public policy, and education (K-12 and public outreach). To explore the opportunities of teaching service learning in the geosciences, the On the Cutting Edge program convened an online workshop in February 2010. The goals of the workshop were to: 1) introduce the principles and practices of effective service learning instructional activities; 2) provide examples of successful service learning projects and practical advice about "what works;" 3) provide participants with the opportunity to design, develop, and refine their own service learning courses or projects; 4) develop collections of supporting resources related to the pedagogy of service learning; and 5) support a community of scholars interested in continued work on service learning in the geoscience curriculum. The workshop consisted of a series of web-based synchronous and asynchronous sessions, including presentations from experienced practitioners of service learning, panel discussions, threaded discussions, and editable web pages used to develop new material for the website. Time was also provided for small group and individual work and for participants to peer-review each others' service learning projects and to revise their own activities based on reviewer comments. Insights from the workshop were integrated into new web pages
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Vulnerability of classifiers to evolutionary generated adversarial examples
Czech Academy of Sciences Publication Activity Database
Vidnerová, Petra; Neruda, Roman
submitted 14.1. 2017 (2018) ISSN 0941-0643 R&D Projects: GA ČR GA15-18108S Institutional support: RVO:67985807 Keywords : supervised learning * neural networks * kernel methods * genetic algorithm s * adversarial examples Subject RIV: IN - Informatics, Computer Science Impact factor: 2.505, year: 2016
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Abell, Martha L
2005-01-01
Maple by Example, Third Edition, is a reference/text with CD for beginning and experienced students, professional engineers, and other Maple users. This new edition has been updated to be compatible with the most recent release of the Maple software. Coverage includes built-in Maple commands used in courses and practices that involve calculus, linear algebra, business mathematics, ordinary and partial differential equations, numerical methods, graphics and more. The CD-ROM provides updated Maple input and all text from the book.* Updated coverage of Maple features and functions * Backwards compatible for all versions* New applications from a variety of fields, including biology, physics and engineering* Expanded topics with many additional examples
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SOME EXAMPLES OF APPLIED SYSTEMS WITH SPEECH INTERFACE
Directory of Open Access Journals (Sweden)
V. A. Zhitko
2017-01-01
Full Text Available Three examples of applied systems with a speech interface are considered in the article. The first two of these provide the end user with the opportunity to ask verbally the question and to hear the response from the system, creating an addition to the traditional I / O via the keyboard and computer screen. The third example, the «IntonTrainer» system, provides the user with the possibility of voice interaction and is designed for in-depth self-learning of the intonation of oral speech.
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Zamary, Amanda; Rawson, Katherine A.
2018-01-01
Students in many courses are commonly expected to learn declarative concepts, which are abstract concepts denoted by key terms with short definitions that can be applied to a variety of scenarios as reported by Rawson et al. ("Educational Psychology Review" 27:483-504, 2015). Given that declarative concepts are common and foundational in…
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Working Examples (WEx): A Vehicle for Building Radical Innovations to Change Education
Zywica, Jolene; Roberts, Anna; Davidson, Drew
2013-01-01
Working Examples (WEx) is described by the authors as a vehicle for ideating and building radical innovations to change education. It is a community of researchers, designers, and educators working at the intersection of education and technology. "Examples" (ideas, work, and projects) allow people to explore new ideas, learn from each…
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Chang, Horng-jinh; Wang, Whe-min
2017-06-01
Taiwan's economic strength has changed drastically in the past decade because of political and economic reasons; however, in order to cope with international environment, higher education must increase its breakthrough to meet the needs of enterprises. School curriculum also has to be timely changes and adjustments. This study will analyze school learning in several directions, use questionnaire to investigate students' learning stress, to find out where students' pressure lie. Also, outsourcing employers' satisfaction survey to find out what do enterprises wants to solve with the drop problem between school and enterprise. Taking Oriental Institute of Technology (OIT) as an example; over the past ten years, OIT has used overseas internships to help students overcome learning difficulties. Overseas practice courses include Penang Malaysia and Suzhou China had gained tremendous breakthrough.
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Biomimicry : "Learning from nature for sustainable solutions"
Gallo, M.
There is more to be learned from nature as a whole. In practice ‘nature’ is often used in teaching, training, consultancy and organisational development as a metaphor, as a source of inspiration or as an example for all kinds of processes, including leadership, cooperation, relationships and the
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Vlčková Kateřina
2014-01-01
The presentation focused on an so called integrated mixed method research design example on a basis of a Czech Science Foundation Project Nr. GAP407/12/0432 "Foreign Language Learning Strategies and Achievement: Analysis of Strategy Clusters and Sequences". All main integrated parts of the mixed methods research design were discussed: the aim, theoretical framework, research question, methods and validity threats. Prezentace se zaměřovala na tzv. integrovaný vícemetodový výzkumný design na...
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SATLC applications as examples for systemic chemistry education ...
African Journals Online (AJOL)
It is also used as a vehicle to engage the students in a deep learning that focuses on relating ideas and making connection between new and prior knowledge. As applications of SATLC I present here systemic chemistry related units experimented in Egyptian secondary schools and universities with examples on systemic ...
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Energy Technology Data Exchange (ETDEWEB)
Gastelum, Zoe N. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Henry, Michael J. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Burtner, IV, E. R. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Doehle, J. R. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Hampton, S. D. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); La Mothe, R. R. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Nordquist, P. L. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Zarzhitsky, D. V. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
2014-12-01
The International Atomic Energy Agency (IAEA) is interested in increasing capabilities of IAEA safeguards inspectors to access information that would improve their situational awareness on the job. A mobile information platform could potentially provide access to information, analytics, and technical and logistical support to inspectors in the field, as well as providing regular updates to analysts at IAEA Headquarters in Vienna or at satellite offices. To demonstrate the potential capability of such a system, Pacific Northwest National Laboratory (PNNL) implemented a number of example capabilities within a PNNL-developed precision information environment (PIE), and using a tablet as a mobile information platform. PNNL’s safeguards proof-of-concept PIE intends to; demonstrate novel applications of mobile information platforms to international safeguards use cases; demonstrate proof-of-principle capability implementation; and provide “vision” for capabilities that could be implemented. This report documents the lessons learned from this two-year development activity for the Precision Information Environment for International Safeguards (PIE-IS), describing the developed capabilities, technical challenges, and considerations for future development, so that developers working to develop a similar system for the IAEA or other safeguards agencies might benefit from our work.
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International Nuclear Information System (INIS)
Gastelum, Zoe N.; Henry, Michael J.; Burtner, IV E.R.; Doehle, J. R.; Hampton, S. D.; La Mothe, R. R.; Nordquist, P. L.; Zarzhitsky, D. V.
2014-01-01
The International Atomic Energy Agency (IAEA) is interested in increasing capabilities of IAEA safeguards inspectors to access information that would improve their situational awareness on the job. A mobile information platform could potentially provide access to information, analytics, and technical and logistical support to inspectors in the field, as well as providing regular updates to analysts at IAEA Headquarters in Vienna or at satellite offices. To demonstrate the potential capability of such a system, Pacific Northwest National Laboratory (PNNL) implemented a number of example capabilities within a PNNL-developed precision information environment (PIE), and using a tablet as a mobile information platform. PNNL's safeguards proof-of-concept PIE intends to; demonstrate novel applications of mobile information platforms to international safeguards use cases; demonstrate proof-of-principle capability implementation; and provide ''vision''@ for capabilities that could be implemented. This report documents the lessons learned from this two-year development activity for the Precision Information Environment for International Safeguards (PIE-IS), describing the developed capabilities, technical challenges, and considerations for future development, so that developers working to develop a similar system for the IAEA or other safeguards agencies might benefit from our work.
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Example-based learning: Effects of model expertise in relation to student expertise
T. Boekhout (Teun); T.A.J.M. van Gog (Tamara); M.W.J. van de Wiel (Margje); D. Gerards-Last (Dorien); F. Geraets (Frank)
2010-01-01
textabstractBackground. Worked examples are very effective for novice learners. They typically present a written-out ideal (didactical) solution for learners to study. nAims. This study used worked examples of patient history taking in physiotherapy that presented a non-didactical solution (i.e.,
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FLIPPED LEARNING: PRACTICAL ASPECTS
Directory of Open Access Journals (Sweden)
Olena Kuzminska
2016-03-01
Full Text Available The article is devoted to issues of implementation of the flipped learning technology in the practice of higher education institutions. The article defines the principles of technology and a model of the educational process, it notes the need to establish an information support system. The article defines online platforms and resources; it describes recommendations for the design of electronic training courses and organization of the students in the process of implementing the proposed model, as well as tools for assessing its effectiveness. The article provides a description of flipped learning implementation scenario and formulates suggestions regarding the use of this model as a mechanism to improve the efficiency of the learning process in the ICT-rich environment of high school: use of learning management systems (LMS and personal learning environments (PLE of participants in a learning process. The article provides an example of implementation of the flipped learning model as a part of the Information Technologies course in the National University of Life and Environmental Sciences of Ukraine (NULES. The article gives examples of tasks, resources and services, results of students’ research activity, as well as an example of the personal learning network, established in the course of implementation of the flipped learning model and elements of digital student portfolios. It presents the results of the monitoring of learning activities and students’ feedback. The author describes cautions against the mass introduction of the flipped learning model without monitoring of readiness of the participants of the educational process for its implementation
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LEARNING TOOLS INTEROPERABILITY – A NEW STANDARD FOR INTEGRATION OF DISTANCE LEARNING PLATFORMS
Directory of Open Access Journals (Sweden)
Oleksandr A. Shcherbyna
2015-06-01
Full Text Available For information technology in education there is always an issue of re-usage of electronic educational resources, their transferring possibility from one virtual learning environment to another. Previously, standardized sets of files were used to serve this purpose, for example, SCORM-packages. In this article the new standard Learning Tools Interoperability (LTI is reviewed, which allows users from one environment to access resources from another environment. This makes it possible to integrate them into a single distributed learning environment that is created and shared. The article gives examples of the practical use of standard LTI in Moodle learning management system using External tool and LTI provider plugins.
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Deep Learning and Its Applications in Biomedicine.
Cao, Chensi; Liu, Feng; Tan, Hai; Song, Deshou; Shu, Wenjie; Li, Weizhong; Zhou, Yiming; Bo, Xiaochen; Xie, Zhi
2018-02-01
Advances in biological and medical technologies have been providing us explosive volumes of biological and physiological data, such as medical images, electroencephalography, genomic and protein sequences. Learning from these data facilitates the understanding of human health and disease. Developed from artificial neural networks, deep learning-based algorithms show great promise in extracting features and learning patterns from complex data. The aim of this paper is to provide an overview of deep learning techniques and some of the state-of-the-art applications in the biomedical field. We first introduce the development of artificial neural network and deep learning. We then describe two main components of deep learning, i.e., deep learning architectures and model optimization. Subsequently, some examples are demonstrated for deep learning applications, including medical image classification, genomic sequence analysis, as well as protein structure classification and prediction. Finally, we offer our perspectives for the future directions in the field of deep learning. Copyright © 2018. Production and hosting by Elsevier B.V.
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From Tech Skills to Life Skills: Google Online Marketing Challenge and Experiential Learning
Croes, Jo-Anne V.; Visser, Melina M.
2015-01-01
The Google Online Marketing Challenge (GOMC) is a global, online student competition sponsored by Google. It is a prime example of an experiential learning activity that includes using real money ($250 sponsored by Google) with a real client. The GOMC has yielded compelling results in student engagement and learning objectives related to the…
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Integrating Worked Examples into Problem Posing in a Web-Based Learning Environment
Hsiao, Ju-Yuan; Hung, Chun-Ling; Lan, Yu-Feng; Jeng, Yoau-Chau
2013-01-01
Most students always lack of experience and perceive difficult regarding problem posing. The study hypothesized that worked examples may have benefits for supporting students' problem posing activities. A quasi-experiment was conducted in the context of a business mathematics course for examining the effects of integrating worked examples into…
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Learning with hierarchical-deep models.
Salakhutdinov, Ruslan; Tenenbaum, Joshua B; Torralba, Antonio
2013-08-01
We introduce HD (or “Hierarchical-Deep”) models, a new compositional learning architecture that integrates deep learning models with structured hierarchical Bayesian (HB) models. Specifically, we show how we can learn a hierarchical Dirichlet process (HDP) prior over the activities of the top-level features in a deep Boltzmann machine (DBM). This compound HDP-DBM model learns to learn novel concepts from very few training example by learning low-level generic features, high-level features that capture correlations among low-level features, and a category hierarchy for sharing priors over the high-level features that are typical of different kinds of concepts. We present efficient learning and inference algorithms for the HDP-DBM model and show that it is able to learn new concepts from very few examples on CIFAR-100 object recognition, handwritten character recognition, and human motion capture datasets.
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Example-Based Learning: Effects of Model Expertise in Relation to Student Expertise
Boekhout, Paul; van Gog, Tamara; van de Wiel, Margje W. J.; Gerards-Last, Dorien; Geraets, Jacques
2010-01-01
Background: Worked examples are very effective for novice learners. They typically present a written-out ideal (didactical) solution for learners to study. Aims: This study used worked examples of patient history taking in physiotherapy that presented a "non"-didactical solution (i.e., based on actual performance). The effects of model expertise…
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Learning to learn: self-managed learning
Directory of Open Access Journals (Sweden)
Jesús Miranda Izquierdo
2006-09-01
Full Text Available Thi is article analyzes the potentialities and weaknesses that non directive Pedagogy presents, an example of the so called self managed pedagogy, whose postulates are good to analyze for the contributions that this position can make to the search of new ways of learning.
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Formation and Assessment of a Tool to Evaluate STEM Literacy in Service-Learning Projects
Hayford, Barbara; Blomstrom, Sally; Mumpower, Lori
2015-01-01
The purpose of the authors' research was to create a tool to evaluate science, technology, engineering, and mathematics (STEM) literacy in service-learning projects. The researchers posited that components of service-learning, which in this case included the deliverable and reflections, are examples of fundamental STEM literacy and thus can be…
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Quantum learning algorithms for quantum measurements
Energy Technology Data Exchange (ETDEWEB)
Bisio, Alessandro, E-mail: alessandro.bisio@unipv.it [QUIT Group, Dipartimento di Fisica ' A. Volta' and INFN, via Bassi 6, 27100 Pavia (Italy); D' Ariano, Giacomo Mauro, E-mail: dariano@unipv.it [QUIT Group, Dipartimento di Fisica ' A. Volta' and INFN, via Bassi 6, 27100 Pavia (Italy); Perinotti, Paolo, E-mail: paolo.perinotti@unipv.it [QUIT Group, Dipartimento di Fisica ' A. Volta' and INFN, via Bassi 6, 27100 Pavia (Italy); Sedlak, Michal, E-mail: michal.sedlak@unipv.it [QUIT Group, Dipartimento di Fisica ' A. Volta' and INFN, via Bassi 6, 27100 Pavia (Italy); Institute of Physics, Slovak Academy of Sciences, Dubravska cesta 9, 845 11 Bratislava (Slovakia)
2011-09-12
We study quantum learning algorithms for quantum measurements. The optimal learning algorithm is derived for arbitrary von Neumann measurements in the case of training with one or two examples. The analysis of the case of three examples reveals that, differently from the learning of unitary gates, the optimal algorithm for learning of quantum measurements cannot be parallelized, and requires quantum memories for the storage of information. -- Highlights: → Optimal learning algorithm for von Neumann measurements. → From 2 copies to 1 copy: the optimal strategy is parallel. → From 3 copies to 1 copy: the optimal strategy must be non-parallel.
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Quantum learning algorithms for quantum measurements
International Nuclear Information System (INIS)
Bisio, Alessandro; D'Ariano, Giacomo Mauro; Perinotti, Paolo; Sedlak, Michal
2011-01-01
We study quantum learning algorithms for quantum measurements. The optimal learning algorithm is derived for arbitrary von Neumann measurements in the case of training with one or two examples. The analysis of the case of three examples reveals that, differently from the learning of unitary gates, the optimal algorithm for learning of quantum measurements cannot be parallelized, and requires quantum memories for the storage of information. -- Highlights: → Optimal learning algorithm for von Neumann measurements. → From 2 copies to 1 copy: the optimal strategy is parallel. → From 3 copies to 1 copy: the optimal strategy must be non-parallel.
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Visual variability affects early verb learning.
Twomey, Katherine E; Lush, Lauren; Pearce, Ruth; Horst, Jessica S
2014-09-01
Research demonstrates that within-category visual variability facilitates noun learning; however, the effect of visual variability on verb learning is unknown. We habituated 24-month-old children to a novel verb paired with an animated star-shaped actor. Across multiple trials, children saw either a single action from an action category (identical actions condition, for example, travelling while repeatedly changing into a circle shape) or multiple actions from that action category (variable actions condition, for example, travelling while changing into a circle shape, then a square shape, then a triangle shape). Four test trials followed habituation. One paired the habituated verb with a new action from the habituated category (e.g., 'dacking' + pentagon shape) and one with a completely novel action (e.g., 'dacking' + leg movement). The others paired a new verb with a new same-category action (e.g., 'keefing' + pentagon shape), or a completely novel category action (e.g., 'keefing' + leg movement). Although all children discriminated novel verb/action pairs, children in the identical actions condition discriminated trials that included the completely novel verb, while children in the variable actions condition discriminated the out-of-category action. These data suggest that - as in noun learning - visual variability affects verb learning and children's ability to form action categories. © 2014 The British Psychological Society.
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SemiBoost: boosting for semi-supervised learning.
Mallapragada, Pavan Kumar; Jin, Rong; Jain, Anil K; Liu, Yi
2009-11-01
Semi-supervised learning has attracted a significant amount of attention in pattern recognition and machine learning. Most previous studies have focused on designing special algorithms to effectively exploit the unlabeled data in conjunction with labeled data. Our goal is to improve the classification accuracy of any given supervised learning algorithm by using the available unlabeled examples. We call this as the Semi-supervised improvement problem, to distinguish the proposed approach from the existing approaches. We design a metasemi-supervised learning algorithm that wraps around the underlying supervised algorithm and improves its performance using unlabeled data. This problem is particularly important when we need to train a supervised learning algorithm with a limited number of labeled examples and a multitude of unlabeled examples. We present a boosting framework for semi-supervised learning, termed as SemiBoost. The key advantages of the proposed semi-supervised learning approach are: 1) performance improvement of any supervised learning algorithm with a multitude of unlabeled data, 2) efficient computation by the iterative boosting algorithm, and 3) exploiting both manifold and cluster assumption in training classification models. An empirical study on 16 different data sets and text categorization demonstrates that the proposed framework improves the performance of several commonly used supervised learning algorithms, given a large number of unlabeled examples. We also show that the performance of the proposed algorithm, SemiBoost, is comparable to the state-of-the-art semi-supervised learning algorithms.
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E-Learning for Geography's Teaching and Learning Spaces
Lynch, Kenneth; Bednarz, Bob; Boxall, James; Chalmers, Lex; France, Derek; Kesby, Julie
2008-01-01
The authors embed their advocacy of educational technology in a consideration of contemporary pedagogy in geography. They provide examples of e-learning from a wide range of teaching and learning contexts. They promote the idea that considering best practice with reference to educational technology will increase the versatility of teaching…
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Statistical learning methods: Basics, control and performance
Energy Technology Data Exchange (ETDEWEB)
Zimmermann, J. [Max-Planck-Institut fuer Physik, Foehringer Ring 6, 80805 Munich (Germany)]. E-mail: zimmerm@mppmu.mpg.de
2006-04-01
The basics of statistical learning are reviewed with a special emphasis on general principles and problems for all different types of learning methods. Different aspects of controlling these methods in a physically adequate way will be discussed. All principles and guidelines will be exercised on examples for statistical learning methods in high energy and astrophysics. These examples prove in addition that statistical learning methods very often lead to a remarkable performance gain compared to the competing classical algorithms.
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Statistical learning methods: Basics, control and performance
International Nuclear Information System (INIS)
Zimmermann, J.
2006-01-01
The basics of statistical learning are reviewed with a special emphasis on general principles and problems for all different types of learning methods. Different aspects of controlling these methods in a physically adequate way will be discussed. All principles and guidelines will be exercised on examples for statistical learning methods in high energy and astrophysics. These examples prove in addition that statistical learning methods very often lead to a remarkable performance gain compared to the competing classical algorithms
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Improving e-learning by Emotive Feedback
DEFF Research Database (Denmark)
Sharp, Robin; Gjedde, Lisa
2011-01-01
This paper considers the use of feedback with emotive elements in order to improve the efficiency of e-learning for teaching complex technical subjects to the general public by stimulation of implicit learning. An example is presented, based on an effort to investigate the current level of IT sec......This paper considers the use of feedback with emotive elements in order to improve the efficiency of e-learning for teaching complex technical subjects to the general public by stimulation of implicit learning. An example is presented, based on an effort to investigate the current level...
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Distance-Learning for Advanced Military Education: Using Wargame Simulation Course as an Example
Keh, Huan-Chao; Wang, Kuei-Min; Wai, Shu-Shen; Huang, Jiung-yao; Hui, Lin; Wu, Ji-Jen
2008-01-01
Distance learning in advanced military education can assist officers around the world to become more skilled and qualified for future challenges. Through well-chosen technology, the efficiency of distance-learning can be improved significantly. In this paper we present the architecture of Advanced Military Education-Distance Learning (AME-DL)…
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Group-Based Active Learning of Classification Models.
Luo, Zhipeng; Hauskrecht, Milos
2017-05-01
Learning of classification models from real-world data often requires additional human expert effort to annotate the data. However, this process can be rather costly and finding ways of reducing the human annotation effort is critical for this task. The objective of this paper is to develop and study new ways of providing human feedback for efficient learning of classification models by labeling groups of examples. Briefly, unlike traditional active learning methods that seek feedback on individual examples, we develop a new group-based active learning framework that solicits label information on groups of multiple examples. In order to describe groups in a user-friendly way, conjunctive patterns are used to compactly represent groups. Our empirical study on 12 UCI data sets demonstrates the advantages and superiority of our approach over both classic instance-based active learning work, as well as existing group-based active-learning methods.
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Learning With Mixed Hard/Soft Pointwise Constraints.
Gnecco, Giorgio; Gori, Marco; Melacci, Stefano; Sanguineti, Marcello
2015-09-01
A learning paradigm is proposed and investigated, in which the classical framework of learning from examples is enhanced by the introduction of hard pointwise constraints, i.e., constraints imposed on a finite set of examples that cannot be violated. Such constraints arise, e.g., when requiring coherent decisions of classifiers acting on different views of the same pattern. The classical examples of supervised learning, which can be violated at the cost of some penalization (quantified by the choice of a suitable loss function) play the role of soft pointwise constraints. Constrained variational calculus is exploited to derive a representer theorem that provides a description of the functional structure of the optimal solution to the proposed learning paradigm. It is shown that such an optimal solution can be represented in terms of a set of support constraints, which generalize the concept of support vectors and open the doors to a novel learning paradigm, called support constraint machines. The general theory is applied to derive the representation of the optimal solution to the problem of learning from hard linear pointwise constraints combined with soft pointwise constraints induced by supervised examples. In some cases, closed-form optimal solutions are obtained.
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Putting Fun Back into Learning.
Rao, Srikumar S.
1995-01-01
People will learn better if they like what they are learning. Computers offer an extensive library of cases, examples, and stories that are easy to access, fun to work through, and tell students what they want to know. One example is the ASK system, a 15-module, self-study, multimedia program that is fun for trainees to use, which should enhance…
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Effects of Students' Characteristics on Online Learning Readiness: A Vocational College Example
Cigdam, Harun; Yildirim, Osman Gazi
2014-01-01
Educational institutions rapidly adopt concepts and practices of online learning systems for students. But many institutions' online learning programs face enormous difficulty in achieving successful strategies. It is essential to evaluate its different aspects and understand factors which influence its effectiveness. Readiness stands out among…
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Lewis, Shelia; Ewing, Christopher
2016-01-01
Asynchronous discussions in the online teaching and learning environment significantly contributes to the achievement of student learning outcomes, which is dependent upon qualified and engaged faculty members. The discourse within this article addresses how an online university conducted faculty development through its unique Robust Learning…
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A Learning Algorithm based on High School Teaching Wisdom
Philip, Ninan Sajeeth
2010-01-01
A learning algorithm based on primary school teaching and learning is presented. The methodology is to continuously evaluate a student and to give them training on the examples for which they repeatedly fail, until, they can correctly answer all types of questions. This incremental learning procedure produces better learning curves by demanding the student to optimally dedicate their learning time on the failed examples. When used in machine learning, the algorithm is found to train a machine...
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Web-Based, Active Learning Experiences for Biology Students.
Skinner, Kerri M.; Hoback, W. Wyatt
2003-01-01
Presents a website that addresses concepts that form a foundation for understanding ecology, pest management, and environmental ethics. Key features of the website include its self-contained, non-linear design; a learning environment that allows students to test ideas without penalty; real-world examples; and built-in assessment tools that…
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Ratnaningsih, N.; El Akbar, R. R.; Hidayat, E.
2018-05-01
One of ways to improve students' learning ability is conduct a research, with purpose to obtain a method to improve students' ability. Research often carried out on the modification of teaching methods, uses of teaching media, motivation, interests and talents of students. Research related to the internal condition of students becomes very interesting to studied, including research on circadian rhythms. Every person in circadian rhythms has its own Chronotype, which divided into two types namely early type and night late type. Chronotype affects the comfort in activity, for example a person with Chronotype category of early type tends to be more comfort in daytime activities. The purpose of this study is to examine the conditions of students, related Chronotype suitable or appropriate for student learning time. This suitability then studied in relation to the ability of learning mathematics with self- regulated learning approach. This study consists of three stages; (i) student Chronotype measurement, (ii) data retrieval, and (iii) analysis of research results. The results show the relationship between the students' learning ability in mathematics to learning time corresponding to Chronotype.
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Targeted Learning in Healthcare Research.
Gruber, Susan
2015-12-01
The increasing availability of Big Data in healthcare encourages investigators to seek answers to big questions. However, nonparametric approaches to analyzing these data can suffer from the curse of dimensionality, and traditional parametric modeling does not necessarily scale. Targeted learning (TL) combines semiparametric methodology with advanced machine learning techniques to provide a sound foundation for extracting information from data. Predictive models, variable importance measures, and treatment benefits and risks can all be addressed within this framework. TL has been applied in a broad range of healthcare settings, including genomics, precision medicine, health policy, and drug safety. This article provides an introduction to the two main components of TL, targeted minimum loss-based estimation and super learning, and gives examples of applications in predictive modeling, variable importance ranking, and comparative effectiveness research.
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Web-Based Learning Support System
Fan, Lisa
Web-based learning support system offers many benefits over traditional learning environments and has become very popular. The Web is a powerful environment for distributing information and delivering knowledge to an increasingly wide and diverse audience. Typical Web-based learning environments, such as Web-CT, Blackboard, include course content delivery tools, quiz modules, grade reporting systems, assignment submission components, etc. They are powerful integrated learning management systems (LMS) that support a number of activities performed by teachers and students during the learning process [1]. However, students who study a course on the Internet tend to be more heterogeneously distributed than those found in a traditional classroom situation. In order to achieve optimal efficiency in a learning process, an individual learner needs his or her own personalized assistance. For a web-based open and dynamic learning environment, personalized support for learners becomes more important. This chapter demonstrates how to realize personalized learning support in dynamic and heterogeneous learning environments by utilizing Adaptive Web technologies. It focuses on course personalization in terms of contents and teaching materials that is according to each student's needs and capabilities. An example of using Rough Set to analyze student personal information to assist students with effective learning and predict student performance is presented.
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A Survey of Quantum Learning Theory
Arunachalam, Srinivasan; de Wolf, Ronald
2017-01-01
This paper surveys quantum learning theory: the theoretical aspects of machine learning using quantum computers. We describe the main results known for three models of learning: exact learning from membership queries, and Probably Approximately Correct (PAC) and agnostic learning from classical or quantum examples.
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Chollet, Francois
2018-01-01
DESCRIPTION Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices. By the time you reach the end of this book, you will have become a Keras expert and will be able to apply deep learning in your own projects. KEY FEATURES • Practical code examples • In-depth introduction to Keras • Teaches the difference between Deep Learning and AI ABOUT THE TECHNOLOGY Deep learning is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more. AUTHOR BIO Francois Chollet is the author of Keras, one of the most widely used libraries for deep learning in Python. He has been working with deep neural ...
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Application of ICT supported learning in fluid mechanics
DEFF Research Database (Denmark)
Brohus, Henrik; Svidt, Kjeld
2004-01-01
of tools for knowledge transfer facilitates deep understanding and increases learning efficiency. Air flow is by nature invisible and represents a further challenge in the effort of providing sufficient understanding of typical flow patterns and behaviour of room air flow. An example of visualisation......This paper focuses on the application of ICT, Information & Communication Technology, supported learning in the area of fluid mechanics education. Taking a starting point in a course in Ventilation Technology, including room air flow and contaminant distribution, it explains how ICT may be used...... actively in the learning environment to increase efficiency in the learning process. The paper comprises past experiences and lessons learnt as well as prospect for future development in the area. A model is presented that describes a high efficiency learning environment where ICT plays an important role...
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Bunch, Seleta LeAnn
2016-01-01
Enrollment in online degree programs is rapidly expanding due to the convenience and affordability offered to students and improvements in technology. The purpose of this hermeneutical phenomenological study was to understand the shared experiences of students with documented specific learning disorders (including Attention-Deficit/Hyperactivity…
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An Example-Based Brain MRI Simulation Framework.
He, Qing; Roy, Snehashis; Jog, Amod; Pham, Dzung L
2015-02-21
The simulation of magnetic resonance (MR) images plays an important role in the validation of image analysis algorithms such as image segmentation, due to lack of sufficient ground truth in real MR images. Previous work on MRI simulation has focused on explicitly modeling the MR image formation process. However, because of the overwhelming complexity of MR acquisition these simulations must involve simplifications and approximations that can result in visually unrealistic simulated images. In this work, we describe an example-based simulation framework, which uses an "atlas" consisting of an MR image and its anatomical models derived from the hard segmentation. The relationships between the MR image intensities and its anatomical models are learned using a patch-based regression that implicitly models the physics of the MR image formation. Given the anatomical models of a new brain, a new MR image can be simulated using the learned regression. This approach has been extended to also simulate intensity inhomogeneity artifacts based on the statistical model of training data. Results show that the example based MRI simulation method is capable of simulating different image contrasts and is robust to different choices of atlas. The simulated images resemble real MR images more than simulations produced by a physics-based model.
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Video2vec Embeddings Recognize Events when Examples are Scarce
Habibian, A.; Mensink, T.; Snoek, C.G.M.
2017-01-01
This paper aims for event recognition when video examples are scarce or even completely absent. The key in such a challenging setting is a semantic video representation. Rather than building the representation from individual attribute detectors and their annotations, we propose to learn the entire
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Anthropomorphism in Decorative Pictures: Benefit or Harm for Learning?
Schneider, Sascha; Nebel, Steve; Beege, Maik; Rey, Günter Daniel
2018-01-01
When people attribute human characteristics to nonhuman objects they are amenable to anthropomorphism. For example, human faces or the insertion of personalized labels are found to trigger anthropomorphism. Two studies examine the effects of these features when included in decorative pictures in multimedia learning materials. In a first…
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Towards a lessons learned system for critical software
International Nuclear Information System (INIS)
Andrade, J.; Ares, J.; Garcia, R.; Pazos, J.; Rodriguez, S.; Rodriguez-Paton, A.; Silva, A.
2007-01-01
Failure can be a major driver for the advance of any engineering discipline and Software Engineering is no exception. But failures are useful only if lessons are learned from them. In this article we aim to make a strong defence of, and set the requirements for, lessons learned systems for safety-critical software. We also present a prototype lessons learned system that includes many of the features discussed here. We emphasize that, apart from individual organizations, lessons learned systems should target industrial sectors and even the Software Engineering community. We would like to encourage the Software Engineering community to use this kind of systems as another tool in the toolbox, which complements or enhances other approaches like, for example, standards and checklists
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Towards a lessons learned system for critical software
Energy Technology Data Exchange (ETDEWEB)
Andrade, J. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: jag@udc.es; Ares, J. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: juanar@udc.es; Garcia, R. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: rafael@udc.es; Pazos, J. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: jpazos@fi.upm.es; Rodriguez, S. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: santi@udc.es; Rodriguez-Paton, A. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: arpaton@fi.upm.es; Silva, A. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: asilva@fi.upm.es
2007-07-15
Failure can be a major driver for the advance of any engineering discipline and Software Engineering is no exception. But failures are useful only if lessons are learned from them. In this article we aim to make a strong defence of, and set the requirements for, lessons learned systems for safety-critical software. We also present a prototype lessons learned system that includes many of the features discussed here. We emphasize that, apart from individual organizations, lessons learned systems should target industrial sectors and even the Software Engineering community. We would like to encourage the Software Engineering community to use this kind of systems as another tool in the toolbox, which complements or enhances other approaches like, for example, standards and checklists.
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A CNN-Based Method of Vehicle Detection from Aerial Images Using Hard Example Mining
Directory of Open Access Journals (Sweden)
Yohei Koga
2018-01-01
Full Text Available Recently, deep learning techniques have had a practical role in vehicle detection. While much effort has been spent on applying deep learning to vehicle detection, the effective use of training data has not been thoroughly studied, although it has great potential for improving training results, especially in cases where the training data are sparse. In this paper, we proposed using hard example mining (HEM in the training process of a convolutional neural network (CNN for vehicle detection in aerial images. We applied HEM to stochastic gradient descent (SGD to choose the most informative training data by calculating the loss values in each batch and employing the examples with the largest losses. We picked 100 out of both 500 and 1000 examples for training in one iteration, and we tested different ratios of positive to negative examples in the training data to evaluate how the balance of positive and negative examples would affect the performance. In any case, our method always outperformed the plain SGD. The experimental results for images from New York showed improved performance over a CNN trained in plain SGD where the F1 score of our method was 0.02 higher.
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Learning by experience on the example of mathematic pendulum
Horváth, Peter
2017-01-01
The very suitable topic for independent student activities is the investigation of factors influencing an oscillation period of the mathematic pendulum. The article describes the experience from particular lessons. Students themselves were discovering new facts. They learned about the physics practice of acquiring new knowledge. The knowledge quality and retention was compared between the experimental classes and classes with a traditional instruction one year after the experiment.
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Szymenderski, Peggy; Yagudina, Liliya; Burenkova, Olga
2015-01-01
In this paper we consider the question of how quality assurance can have a real, positive impact on the quality of teaching and learning at universities, considering the realities of different systems--the system of control and the system of quality culture--in using the example of two universities: the KNITU-KAI in Russia and the TU Dresden in…
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Semantic Coherence Facilitates Distributional Learning.
Ouyang, Long; Boroditsky, Lera; Frank, Michael C
2017-04-01
Computational models have shown that purely statistical knowledge about words' linguistic contexts is sufficient to learn many properties of words, including syntactic and semantic category. For example, models can infer that "postman" and "mailman" are semantically similar because they have quantitatively similar patterns of association with other words (e.g., they both tend to occur with words like "deliver," "truck," "package"). In contrast to these computational results, artificial language learning experiments suggest that distributional statistics alone do not facilitate learning of linguistic categories. However, experiments in this paradigm expose participants to entirely novel words, whereas real language learners encounter input that contains some known words that are semantically organized. In three experiments, we show that (a) the presence of familiar semantic reference points facilitates distributional learning and (b) this effect crucially depends both on the presence of known words and the adherence of these known words to some semantic organization. Copyright © 2016 Cognitive Science Society, Inc.
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Examples to Keep the Passion for the Geosciences
Fernández Raga, María; Palencia Coto, Covadonga; Cerdà, Artemi
2014-05-01
It is said that the beasts can smell fear. The translation to education is that students know when our vocation is really teaching or when you are teaching as a result of the sequence of events like a side effect of an investigating vocation path. But to become a good teacher, you need to love teaching!!! Education work requires a dynamic appeal by the students. It should be entertaining, motivating, interactive and dynamic. In this session I will present several tips and examples to get attention on your geology sessions: 1. The teacher should maintain a high interest in the subject of your work. Motivation is contagious!!!!If you show passion the other will feel it. 2. Change the attitude of students. Some activities can help you to do that like asking for the preparation of an experiment, and analyzing the results. Some examples will be shown. 3. Arouse the curiosity of the students. Some strategies could be asking questions in novel, controversial or inconsistent ways, asking conceptual conflicts and paradox that looks not expected from what is studied or 4. Use some tools to get the attention of the students. Examples of these tools can be Google Maps and Google Earth (teaching them to design routes and marking studies), Google drive (to create documents online in a team and file sharing), Google plus (to hang interesting news). 5. Examine students each week. Although it will be laborious, their work and learning will be more gradual. 6. Increase levels of competition among peers. 7. Relate what you know with what you learn. It is very important to be aware of the basis on which pupils, through prior knowledge test match. 8. Feel competent. Teacher's confidence is vital when teaching a class. You must be aware of our weaknesses and humble, but our nerves should help us to improve the quality of our classes. 9. Individualized teaching and learning. Numerous psychological and sociological studies suggest that the existence of social networks contribute to the
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A European perspective on e-learning
DEFF Research Database (Denmark)
Dirckinck-Holmfeld, Lone
2004-01-01
E-learning at Work , edited by Anne Marie Kanstrup. Roskilde Universitetsforlag, pages Pp.15-29. 2004 Short description: Based on a survey of 149 European e-learning and adult vocational training projects, the author presents examples of how ICT facilitates a positive change and development...... of workplace-related learning. Abstract: Based on a survey of 149 European e-learning and adult vocational training projects, the author presents examples of how ICT facilitates a positive change and development of workplace-related learning.The chapter ends with a suggestion for a historical categorisation...... that focus is on designing the technical tools rather than on the use of tools for e-learning in general, where ICT is just one integrated element among many: objective, motivation, ways to learning, profession, workplace etc. The rojects also reveal that different European countries move at different paces...
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Wiki Mass Authoring for Experiential Learning: A Case Study
Pardue, Harold; Landry, Jeffrey; Sweeney, Bob
2013-01-01
Web 2.0 services include sharing and collaborative technologies such as blogs, social networking sites, online office productivity tools, and wikis. Wikis are increasingly used for the design and implementation of pedagogy, for example to facilitate experiential learning. A U.S. government-funded project for system security risk assessment was…
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Directory of Open Access Journals (Sweden)
Susana Correnti
2016-01-01
Full Text Available The «PBL working environment» is a virtual environment developed in the framework of SCENE project (profeSsional development for an effeCtive PBL approach: a practical experiENce through ICT-enabled lEarning solution, co-funded by the European Lifelong Learning Program. The «PBL working environment» is devoted to prepare headmasters and teachers of secondary and vocational schools to use Problem-Based Learning (PBL pedagogy effectively. It is a student-centered pedagogy where learners are «actively» engaged in real world problems to solve or challenges to meet. Students develop problem-solving, self-directed learning and team skills. The «PBL working environment» is an virtual tool including three main elements: e-learning platform, virtual facilitator and PBL repository. Teachers, trainers and headmasters/school managers learn the PBL pedagogy by attending an on-line course (e-learning platform delivered through the «inductive method». It allows learners to experience PBL approach, by practicing it stage by stage, and then learn to turn practice into theory by abstracting their experience to build a theoretical understanding. Since generating the proper scenario is the most critical aspect of PBL, after benefiting from the on-line course, users can benefit from a further support: the Virtual Facilitator. It provides tips and hints on how correctly design a problem scenario and by asking questions to collect data on user's specific needs. The Virtual Facilitator is able to provide a/or more suitable example(s which match as closest as possible the teacher/trainer need. Finally, users can share problem scenarios and projects of different subjects of studies and with different characteristics uploaded and downloaded in the PBL repository.
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Student Motivation in Science Subjects in Tanzania, Including Students' Voices
Mkimbili, Selina Thomas; Ødegaard, Marianne
2017-12-01
Fostering and maintaining students' interest in science is an important aspect of improving science learning. The focus of this paper is to listen to and reflect on students' voices regarding the sources of motivation for science subjects among students in community secondary schools with contextual challenges in Tanzania. We conducted a group-interview study of 46 Form 3 and Form 4 Tanzanian secondary school students. The study findings reveal that the major contextual challenges to student motivation for science in the studied schools are limited resources and students' insufficient competence in the language of instruction. Our results also reveal ways to enhance student motivation for science in schools with contextual challenges; these techniques include the use of questioning techniques and discourse, students' investigations and practical work using locally available materials, study tours, more integration of classroom science into students' daily lives and the use of real-life examples in science teaching. Also we noted that students' contemporary life, culture and familiar language can be utilised as a useful resource in facilitating meaningful learning in science in the school. Students suggested that, to make science interesting to a majority of students in a Tanzanian context, science education needs to be inclusive of students' experiences, culture and contemporary daily lives. Also, science teaching and learning in the classroom need to involve learners' voices.
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Designing Learning Resources in Synchronous Learning Environments
DEFF Research Database (Denmark)
Christiansen, Rene B
2015-01-01
Computer-mediated Communication (CMC) and synchronous learning environments offer new solutions for teachers and students that transcend the singular one-way transmission of content knowledge from teacher to student. CMC makes it possible not only to teach computer mediated but also to design...... and create new learning resources targeted to a specific group of learners. This paper addresses the possibilities of designing learning resources within synchronous learning environments. The empirical basis is a cross-country study involving students and teachers in primary schools in three Nordic...... Countries (Denmark, Sweden and Norway). On the basis of these empirical studies a set of design examples is drawn with the purpose of showing how the design fulfills the dual purpose of functioning as a remote, synchronous learning environment and - using the learning materials used and recordings...
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E-education in pathology including certification of e-institutions.
Kayser, Klaus; Ogilvie, Robert; Borkenfeld, Stephan; Kayser, Gian
2011-03-30
E-education or electronically transferred continuous education in pathology is one major application of virtual microscopy. The basic conditions and properties of acoustic and visual information transfer, of teaching and learning processes, as well as of knowledge and competence, influence its implementation to a high degree. Educational programs and structures can be judged by access to the basic conditions, by description of the teaching resources, methods, and its program, as well as by identification of competences, and development of an appropriate evaluation system. Classic teaching and learning methods present a constant, usually non-reversible information flow. They are subject to personal circumstances of both teacher and student. The methods of information presentation need to be distinguished between static and dynamic, between acoustic and visual ones. Electronic tools in education include local manually assisted tools (language assistants, computer-assisted design, etc.), local passive tools (slides, movies, sounds, music), open access tools (internet), and specific tools such as Webinars. From the medical point of view information content can be divided into constant (gross and microscopic anatomy) and variable (disease related) items. Most open access available medical courses teach constant information such as anatomy or physiology. Mandatory teaching resources are image archives with user-controlled navigation and labelling, student-oriented user manuals, discussion forums, and expert consultation. A classic undergraduate electronic educational system is WebMic which presents with histology lectures. An example designed for postgraduate teaching is the digital lung pathology system. It includes a description of diagnostic and therapeutic features of 60 rare and common lung diseases, partly in multimedia presentation. Combining multimedia features with the organization structures of a virtual pathology institution will result in a virtual pathology
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Creating an Innovative Learning Organization
Salisbury, Mark
2010-01-01
This article describes how to create an innovative learning (iLearning) organization. It begins by discussing the life cycle of knowledge in an organization, followed by a description of the theoretical foundation for iLearning. Next, the article presents an example of iLearning, followed by a description of the distributed nature of work, the…
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Incremental concept learning with few training examples and hierarchical classification
Bouma, H.; Eendebak, P.T.; Schutte, K.; Azzopardi, G.; Burghouts, G.J.
2015-01-01
Object recognition and localization are important to automatically interpret video and allow better querying on its content. We propose a method for object localization that learns incrementally and addresses four key aspects. Firstly, we show that for certain applications, recognition is feasible
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An Example of Using History of Mathematics in Classes
Goktepe, Sevda; Ozdemir, Ahmet Sukru
2013-01-01
In recent years, the topic of integrating history to mathematics lessons in teaching-learning processes has been frequently discussed among researchers. The main aim of this study is to present an example activity which enriched with history of mathematics and to take the views of students about teaching course in this way. In addition, to create…
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RFID Malware: Design Principles and Examples
Rieback, M.R.; Simpson, P.N.D.; Crispo, B.; Tanenbaum, A.S.
2006-01-01
This paper explores the concept of malware for Radio Frequency Identification (RFID) systems - including RFID exploits, RFID worms, and RFID viruses. We present RFID malware design principles together with concrete examples; the highlight is a fully illustrated example of a self-replicating RFID
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Alseddiqi, M.; Mishra, R.; Pislaru, C.
2012-05-01
This paper diagnoses the implementation of a new engineering course entitled 'school-based learning (SBL) to work-based learning (WBL) transition module' in the Bahrain Technical and Vocational Education (TVE) learning environment. The module was designed to incorporate an innovative education and training approach with a variety of learning activities that are included in various learning case studies. Each case study was based on with learning objectives coupled with desired learning outcomes. The TVE students should meet the desired outcomes after the completion of the learning activities and assessments. To help with the implementation phase of the new module, the authors developed guidelines for each case study. The guidelines incorporated learning activities to be delivered in an integrated learning environment. The skills to be transferred were related to cognitive, affective, and technical proficiencies. The guidelines included structured instructions to help students during the learning process. In addition, technology was introduced to improve learning effectiveness and flexibility. The guidelines include learning indicators for each learning activity and were based on their interrelation with competencies to be achieved with respect to modern industrial requirements. Each learning indicator was then correlated against the type of learning environment, teaching and learning styles, examples of mode of delivery, and assessment strategy. Also, the learning activities were supported by technological features such as discussion forums for social perception and engagement and immediate feedback exercises for self-motivation. Through the developed module, TVE teachers can effectively manage the teaching and learning process as well as the assessment strategy to satisfy students' individual requirements and enable them to meet workplace requirements.
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Revisiting Boltzmann learning: parameter estimation in Markov random fields
DEFF Research Database (Denmark)
Hansen, Lars Kai; Andersen, Lars Nonboe; Kjems, Ulrik
1996-01-01
This article presents a generalization of the Boltzmann machine that allows us to use the learning rule for a much wider class of maximum likelihood and maximum a posteriori problems, including both supervised and unsupervised learning. Furthermore, the approach allows us to discuss regularization...... and generalization in the context of Boltzmann machines. We provide an illustrative example concerning parameter estimation in an inhomogeneous Markov field. The regularized adaptation produces a parameter set that closely resembles the “teacher” parameters, hence, will produce segmentations that closely reproduce...
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Experiences with Reusable E-Learning Objects: From Theory to Practice.
Muzio, Jeanette A.; Heins, Tanya; Mundell, Roger
2002-01-01
Explains reusable electronic learning objects (ELOs) that are stored in a database and discusses the practical application of creating and reusing ELOs at Royal Roads University (Canada). Highlights include ELOs and the instructional design of online courses; and examples of using templates to develop interactive ELOs. (Author/LRW)
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International Nuclear Information System (INIS)
Iwata, Koji; Tsukimori, Kazuyuki; Ueno, Mutsuo
2003-12-01
FINAS is a general purpose structural analysis computer program which was developed by Japan Nuclear Cycle Development Institute for the analysis of static, dynamic and thermal responses of elastic and inelastic structures by the finite element method. This manual contains typical analysis examples that illustrate applications of FINAS to a variety of structural engineering problems. The first part of this manual presents fundamental examples in which numerical solutions by FINAS are compared with some analytical reference solutions, and the second part of this manual presents more complex examples intended for practical application. All the input data images and principal results for each problem are included in this manual for beginners' convenience. All the analyses are performed by using the FINAS Version 13.0. (author)
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Cultural Conceptualisations in Learning English as an L2: Examples from Persian-Speaking Learners
Sharifian, Farzad
2013-01-01
Traditionally, many studies of second language acquisition (SLA) were based on the assumption that learning a new language mainly involves learning a set of grammatical rules, lexical items, and certain new sounds and sound combinations. However, for many second language learners, learning a second language may involve contact and interactions…
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Cowham, Robert
2013-01-01
Learning Perforce SCM is written in a friendly and practical style with a focus on getting you started with Perforce efficiently and effectively. The book provides plenty of examples and screenshots to guide you through the process of learning.""Learning Perforce SCM"" is for anyone who wants to know how to adeptly manage software development activities using Perforce. Experience with other version control tools is a plus but is not required.
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Parts of the Whole: Learn More, Learn Better
Directory of Open Access Journals (Sweden)
Dorothy Wallace
2012-01-01
Full Text Available Building on previous columns in Numeracy, this column analyzes various teaching techniques in terms of their ability to build cognitive schema, extend existing schema, reinforce learning, move mean understanding of a group of students, and reduce variance in understanding of a group. We offer a pedagogical cycle as an example of how to address multiple learning goals using common teaching methods.
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Shea, Jennifer; Taylor, Tory
2017-12-01
In the last 20 years, developmental evaluation has emerged as a promising approach to support organizational learning in emergent social programs. Through a continuous system of inquiry, reflection, and application of knowledge, developmental evaluation serves as a system of tools, methods, and guiding principles intended to support constructive organizational learning. However, missing from the developmental evaluation literature is a nuanced framework to guide evaluators in how to elevate the organizational practices and concepts most relevant for emergent programs. In this article, we describe and reflect on work we did to develop, pilot, and refine an integrated pilot framework. Drawing on established developmental evaluation inquiry frameworks and incorporating lessons learned from applying the pilot framework, we put forward the Evaluation-led Learning framework to help fill that gap and encourage others to implement and refine it. We posit that without explicitly incorporating the assessments at the foundation of the Evaluation-led Learning framework, developmental evaluation's ability to affect organizational learning in productive ways will likely be haphazard and limited. Copyright © 2017 Elsevier Ltd. All rights reserved.
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K. Montpetit-Tourangeau (Katherine); J.-O. Dyer (Joseph-Omer); A. Hudon (Anne); Windsor, M. (Monica); B. Charlin (Bernard); S. Mamede (Silvia); T. van Gog (Tamara)
2017-01-01
textabstractBackground: Health profession learners can foster clinical reasoning by studying worked examples presenting fully worked out solutions to a clinical problem. It is possible to improve the learning effect of these worked examples by combining them with other learning activities based on
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SRS SLUDGE BATCH QUALIFICATION AND PROCESSING; HISTORICAL PERSPECTIVE AND LESSONS LEARNED
Energy Technology Data Exchange (ETDEWEB)
Cercy, M.; Peeler, D.; Stone, M.
2013-09-25
This report provides a historical overview and lessons learned associated with the SRS sludge batch (SB) qualification and processing programs. The report covers the framework of the requirements for waste form acceptance, the DWPF Glass Product Control Program (GPCP), waste feed acceptance, examples of how the program complies with the specifications, an overview of the Startup Program, and a summary of continuous improvements and lessons learned. The report includes a bibliography of previous reports and briefings on the topic.
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Machine learning and data science in soft materials engineering
Ferguson, Andrew L.
2018-01-01
In many branches of materials science it is now routine to generate data sets of such large size and dimensionality that conventional methods of analysis fail. Paradigms and tools from data science and machine learning can provide scalable approaches to identify and extract trends and patterns within voluminous data sets, perform guided traversals of high-dimensional phase spaces, and furnish data-driven strategies for inverse materials design. This topical review provides an accessible introduction to machine learning tools in the context of soft and biological materials by ‘de-jargonizing’ data science terminology, presenting a taxonomy of machine learning techniques, and surveying the mathematical underpinnings and software implementations of popular tools, including principal component analysis, independent component analysis, diffusion maps, support vector machines, and relative entropy. We present illustrative examples of machine learning applications in soft matter, including inverse design of self-assembling materials, nonlinear learning of protein folding landscapes, high-throughput antimicrobial peptide design, and data-driven materials design engines. We close with an outlook on the challenges and opportunities for the field.
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Machine learning and data science in soft materials engineering.
Ferguson, Andrew L
2018-01-31
In many branches of materials science it is now routine to generate data sets of such large size and dimensionality that conventional methods of analysis fail. Paradigms and tools from data science and machine learning can provide scalable approaches to identify and extract trends and patterns within voluminous data sets, perform guided traversals of high-dimensional phase spaces, and furnish data-driven strategies for inverse materials design. This topical review provides an accessible introduction to machine learning tools in the context of soft and biological materials by 'de-jargonizing' data science terminology, presenting a taxonomy of machine learning techniques, and surveying the mathematical underpinnings and software implementations of popular tools, including principal component analysis, independent component analysis, diffusion maps, support vector machines, and relative entropy. We present illustrative examples of machine learning applications in soft matter, including inverse design of self-assembling materials, nonlinear learning of protein folding landscapes, high-throughput antimicrobial peptide design, and data-driven materials design engines. We close with an outlook on the challenges and opportunities for the field.
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McKeon, Helen; Johnston, Kate; Henry, Colette
2004-01-01
Entrepreneurial learning has recently become a topic of significant interest, with academics and economists alike recognising that the success of any new business venture is closely linked to the learning and knowledge of the entrepreneur. To date, research into entrepreneurial learning and the specific ways in which entrepreneurs learn is…
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Andrusyszyn, M A; Cragg, C E; Humbert, J
2001-04-01
The relationships among multiple distance delivery methods, preferred learning style, content, and achievement was sought for primary care nurse practitioner students. A researcher-designed questionnaire was completed by 86 (71%) participants, while 6 engaged in follow-up interviews. The results of the study included: participants preferred learning by "considering the big picture"; "setting own learning plans"; and "focusing on concrete examples." Several positive associations were found: learning on own with learning by reading, and setting own learning plans; small group with learning through discussion; large group with learning new things through hearing and with having learning plans set by others. The most preferred method was print-based material and the least preferred method was audio tape. The most suited method for content included video teleconferencing for counseling, political action, and transcultural issues; and video tape for physical assessment. Convenience, self-direction, and timing of learning were more important than delivery method or learning style. Preferred order of learning was reading, discussing, observing, doing, and reflecting. Recommended considerations when designing distance courses include a mix of delivery methods, specific content, outcomes, learner characteristics, and state of technology.
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A Test of Strategies for Enhanced Learning of AP Descriptive Chemistry
Kotcherlakota, Suhasini; Brooks, David W.
2008-01-01
The Advanced Placement (AP) Descriptive Chemistry Website allows users to practice chemistry problems. This study involved the redesign of the Website using worked examples to enhance learner performance. The population sample for the study includes users (students and teachers) interested in learning descriptive chemistry materials. The users…
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Using Online Learning Platforms to Enhance Students' Reflective and Critical Thinking
Lennon, Sean M.
2010-01-01
A working paper on how to use common E-Learning platforms to incorporate critical thinking and reflection into traditional and hybrid formatted curriculums. Definitions and conceptual framework of both constructs are discussed and their benefits towards cognitions and reflection are highlighted. Best practices, including examples of previous…
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Building and Sustaining Learning Networks.
Bessant, John; Barnes, Justin; Morris, Mike; Kaplinsky, Raphael
2003-01-01
Research suggests that there are a number of potential advantages to learning in some form of network which include being able to benefit from other’s experience, being able to reduce the risks in experimentation, being able to engage in challenging reflection and in making use of peer group support. Examples of such configurations can be found in regional clusters, in sector groupings, in heterogeneous groups sharing a common topic of interest, in user groups concerned with le...
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Inquiry-Based Learning in Teacher Education: A Primary Humanities Example
Preston, Lou; Harvie, Kate; Wallace, Heather
2015-01-01
Inquiry-based learning features strongly in the new Australian Humanities and Social Sciences curriculum and increasingly in primary school practice. Yet, there is little research into, and few exemplars of, inquiry approaches in the primary humanities context. In this article, we outline and explain the implementation of a place-based simulation…
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Directory of Open Access Journals (Sweden)
Cher M. Hill
2016-11-01
Full Text Available Teacher inquiry, in which teachers study their own professional practice, is currently a popular form of experiential learning that is considered a powerful tool to bring about effective change in teaching and learning. Little empirical evidence, however, exists to explain precisely if and how this pedagogical methodology moves teachers toward transformation of practice. Using grounded theory methodology, we examined twelve end of term graduate level learning portfolios and administered a survey to 336 in-service teachers enrolled in a two-year graduate diploma program in the Faculty of Education at Simon Fraser University, Canada. We found powerful evidence that our programs were highly impactful, with 94% of teachers reporting transformative learning within the second year of the program. Using portfolio data we examined the process of the teacher transformations. Our findings revealed that teachers’ abilities to interrogate their subjective-objective stance deepened their experiential learning. Using three case studies we exemplify how transformative pathways were formulated and conclude with a discussion of the implications of learning through experience, including the value of student-generated learning goals, continuous interfacing of theory and practice, seeing your ‘teaching’ through the eyes of your students/colleagues or parents, and the power of living your research question in the context of your own classroom and school setting. We end the paper on a cautionary note pointing out the vulnerability of programs of this nature in an era of accountability, standardization, quality control, and risk management all of which eclipse approaches that focus on authentic practical problems and student generated solutions.
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Fostering Information Problem Solving Skills: Effects of Worked Examples and Learner Support
Frerejean, Jimmy; Brand-Gruwel, Saskia; Kirschner, Paul A.
2013-01-01
Frerejean, J., Brand-Gruwel, S., & Kirschner, P. A. (2013, August). Fostering Information Problem Solving Skills: Effects of Worked Examples and Learner Support. Paper presented at the biennial EARLI Conference for Research in Learning and Instruction, Münich, Germany.
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Teaching and learning community work online: can e-learning promote competences for future practice?
Larsen, Anne Karin; Visser-Rotgans, Rina; Hole, Grete Oline
2011-01-01
This article presents a case study of an online course in Community Work and the learning outcomes for an international group of students participating in the course. Examples from the process of, and results from the development of virtual-learning material are presented. Finally, the students' learning experience and competences achieved by the use of innovative learning material and ICT communication tools are presented.
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Optimal medication dosing from suboptimal clinical examples: a deep reinforcement learning approach.
Nemati, Shamim; Ghassemi, Mohammad M; Clifford, Gari D
2016-08-01
Misdosing medications with sensitive therapeutic windows, such as heparin, can place patients at unnecessary risk, increase length of hospital stay, and lead to wasted hospital resources. In this work, we present a clinician-in-the-loop sequential decision making framework, which provides an individualized dosing policy adapted to each patient's evolving clinical phenotype. We employed retrospective data from the publicly available MIMIC II intensive care unit database, and developed a deep reinforcement learning algorithm that learns an optimal heparin dosing policy from sample dosing trails and their associated outcomes in large electronic medical records. Using separate training and testing datasets, our model was observed to be effective in proposing heparin doses that resulted in better expected outcomes than the clinical guidelines. Our results demonstrate that a sequential modeling approach, learned from retrospective data, could potentially be used at the bedside to derive individualized patient dosing policies.
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Improving health care quality and safety: the role of collective learning.
Singer, Sara J; Benzer, Justin K; Hamdan, Sami U
2015-01-01
Despite decades of effort to improve quality and safety in health care, this goal feels increasingly elusive. Successful examples of improvement are infrequently replicated. This scoping review synthesizes 76 empirical or conceptual studies (out of 1208 originally screened) addressing learning in quality or safety improvement, that were published in selected health care and management journals between January 2000 and December 2014 to deepen understanding of the role that collective learning plays in quality and safety improvement. We categorize learning activities using a theoretical model that shows how leadership and environmental factors support collective learning processes and practices, and in turn team and organizational improvement outcomes. By focusing on quality and safety improvement, our review elaborates the premise of learning theory that leadership, environment, and processes combine to create conditions that promote learning. Specifically, we found that learning for quality and safety improvement includes experimentation (including deliberate experimentation, improvisation, learning from failures, exploration, and exploitation), internal and external knowledge acquisition, performance monitoring and comparison, and training. Supportive learning environments are characterized by team characteristics like psychological safety, appreciation of differences, openness to new ideas social motivation, and team autonomy; team contextual factors including learning resources like time for reflection, access to knowledge, organizational capabilities; incentives; and organizational culture, strategy, and structure; and external environmental factors including institutional pressures, environmental dynamism and competitiveness and learning collaboratives. Lastly learning in the context of quality and safety improvement requires leadership that reinforces learning through actions and behaviors that affect people, such as coaching and trust building, and through
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Interactive Multimedia Instruction for Training Self-Directed Learning Techniques
2016-06-01
feedback and input on the content, format, and pedagogical approach of the lesson. This survey could be e-mailed to the principal ARI researcher for...peers in self-directed learning. Some examples of the metaphorical relationships and common examples woven into this IMI are identified in Table 1...20 Table 1 Metaphorical Relationships and Illustrations Used in Self-Directed Learning Training Military or Common Example Self-Directed
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Montpetit-tourangeau, Katherine; Dyer, Joseph-omer; Hudon, Anne; Windsor, Monica; Charlin, Bernard; Mamede, Sílvia; Van Gog, Tamara
2017-01-01
Background: Health profession learners can foster clinical reasoning by studying worked examples presenting fully worked out solutions to a clinical problem. It is possible to improve the learning effect of these worked examples by combining them with other learning activities based on concept maps.
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Raymaker, Dora M
2016-10-01
Critical systems thinking (CST) and community based participatory research (CBPR) are distinct approaches to inquiry which share a primary commitment to holism and human emancipation, as well as common grounding in critical theory and emancipatory and pragmatic philosophy. This paper explores their intersections and complements on a historical, philosophical, and theoretical level, and then proposes a hybrid approach achieved by applying CBPR's principles and considerations for operationalizing emancipatory practice to traditional systems thinking frameworks and practices. This hybrid approach is illustrated in practice with examples drawn from of the implementation of the learning organization model in an action research setting with the Autistic community. Our experience of being able to actively attend to, and continuously equalize, power relations within an organizational framework that otherwise has great potential for reinforcing power inequity suggests CBPR's principles and considerations for operationalizing emancipatory practice could be useful in CST settings, and CST's vocabulary, methods, and clarity around systems thinking concepts could be valuable to CBPR practioners.
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Falmagne, Jean-Claude
2011-01-01
Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. The various structures are investigated from the standpoints of combinatorial properties and stochastic processes. Leaning spaces have become the essential structures to be used in assessing students' competence of various topics. A practical example is offered by ALEKS, a Web-based, artificially intelligent assessment and learning system in mathematics and other scholarly fields. At the heart of A
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Machine learning a probabilistic perspective
Murphy, Kevin P
2012-01-01
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic method...
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Full Text Available ... people on HAART (highly active antiretroviral therapy), for example, who continue to misuse drugs. The Learn the Link public service campaign is just one example of how NIDA continues to respond to the ...
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How do Artists Learn and What Can Educators Learn from Them?
DEFF Research Database (Denmark)
Chemi, Tatiana; Jensen, Julie Borup
2014-01-01
Among scholars and practitioners interested in creative learning, many assumptions and even stereotypes are nurtured about artists’ creativity. The myth of the lone genius, for example, is neither close to artistic practices nor beneficial to education. We address the topic of artistic creativity......, looking at its relevance to educational settings. Through asking the question: how do artists create, learn and how can education learn from them, we have investigated and described professional artists’ creative and learning processes. In this article, we present findings from a qualitative research...
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Indicators of ADHD symptoms in virtual learning context using machine learning technics
Directory of Open Access Journals (Sweden)
Laura Patricia Mancera Valetts
2015-12-01
Full Text Available Rev.esc.adm.neg This paper presents a user model for students performing virtual learning processes. This model is used to infer the presence of Attention Deficit Hyperactivity Disorder (ADHD indicators in a student. The user model is built considering three user characteristics, which can be also used as variables in different contexts. These variables are: behavioral conduct (BC, executive functions performance (EFP, and emotional state (ES. For inferring the ADHD symptomatic profile of a student and his/her emotional alterations, these features are used as input in a set of classification rules. Based on the testing of the proposed model, training examples are obtained. These examples are used to prepare a classification machine learning algorithm for performing, and improving, the task of profiling a student. The proposed user model can provide the first step to adapt learning resources in e-learning platforms to people with attention problems, specifically, young-adult students with ADHD.
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Lawrie, Gwendolyn Angela; Grøndahl, Lisbeth; Boman, Simon; Andrews, Trish
2016-01-01
Recent examples of high-impact teaching practices in the undergraduate chemistry laboratory that include course-based undergraduate research experiences and inquiry-based experiments require new approaches to assessing individual student learning outcomes. Instructors require tools and strategies that can provide them with insight into individual…
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Using the Internet to Study the Internet: An Active Learning Component.
Kohut, Dave; Sternberg, Joel
1995-01-01
Describes the Internet component of an undergraduate course at St. Xavier University (Illinois) in which a librarian helps mass communications students survey state-of-the-art technologies and predict future possibilities. Active learning techniques are discussed and examples of class exercises and the final assignment are included. (Author/LRW)
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Including the Disabled : The Chiminike Interactive Learning Center in Honduras
Maria Valéria Pena; Barbara Brakarz
2003-01-01
In the aftermath of Hurricane Mitch in 1998, the Honduras Interactive Environmental Learning and Science Promotion Project "Profuturo" was launched as a multi-sectoral effort designed to encourage and expand scientific, environmental, and cultural knowledge and management in the context of Honduras' sustainable development needs and ethnic diversity. Profuturo benefits Hondurans by providi...
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A study of concept-based similarity approaches for recommending program examples
Hosseini, Roya; Brusilovsky, Peter
2017-07-01
This paper investigates a range of concept-based example recommendation approaches that we developed to provide example-based problem-solving support in the domain of programming. The goal of these approaches is to offer students a set of most relevant remedial examples when they have trouble solving a code comprehension problem where students examine a program code to determine its output or the final value of a variable. In this paper, we use the ideas of semantic-level similarity-based linking developed in the area of intelligent hypertext to generate examples for the given problem. To determine the best-performing approach, we explored two groups of similarity approaches for selecting examples: non-structural approaches focusing on examples that are similar to the problem in terms of concept coverage and structural approaches focusing on examples that are similar to the problem by the structure of the content. We also explored the value of personalized example recommendation based on student's knowledge levels and learning goal of the exercise. The paper presents concept-based similarity approaches that we developed, explains the data collection studies and reports the result of comparative analysis. The results of our analysis showed better ranking performance of the personalized structural variant of cosine similarity approach.
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Special Aspects of Learning Objectives Design for Disciplines in Engineering Education
Directory of Open Access Journals (Sweden)
Yu. B. Tsvetkov
2015-01-01
Full Text Available The article is devoted to a problem of learning objectives design for disciplines in engineering education. It is shown that the system of well defined objectives can form a basis of discipline content analysis, acquisition control and improvement.The detailed defining of clear objectives and designing forms and content of objectives which allow to estimate their achievement are considered.For this purpose the objectives should consider the level of learners, to designate result which they will be able to show after training, conditions and how well they will be able to make it.Some examples of objective formulations are provided which allow to show in an explicit form the results reached by a learner.It is shown that cognitive process dimension can be divided into groups of initial level of thinking (to remember, understand, apply and thinking of high level (to analyze, estimate, create.Thus knowledge dimension include the factual, conceptual, procedural and metacognitive knowledges.On the basis of cognitive process dimension and knowledge dimension in engineering education it is offered to form system of learning objectives on the basis of their twodimensional classification - taxonomy.Objectives examples for engineering discipline are given. They consider conditions of their achievement and criteria of execution for various combinations of cognitive process dimension and levels of knowledge dimension.For some engineering disciplines examples of learning objectives are formulated including their achievement and criterion of execution of the corresponding actions.The given results can form a basis for design of learning objectives at realization of a competence approach in modern engineering education.Further work in this direction preplan the analysis and approbation of two-dimensional matrix applicability for objectives design on examples of various engineering disciplines.It is of profound importance to use matrixes of well defined
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Lifelong learning in obstetrics and gynaecology: how theory can influence clinical practice.
Mukhopadhyay, S; Smith, S; Cresswell, J
2011-08-01
Lifelong learning refers to the systematic acquisition, renewal, updating and completion of knowledge. It is synonymous with the term 'self-directed learning'. This is a new educational strategy meant to consolidate knowledge in a fashion that is reproducible for a lifetime with successful application to both known and unknown clinical exercises. The development of lifelong learning is based on the principles of andragogy (autonomy and independence in one's learning activities), reflection and learning from experience. This paper deals with the development of these theories culminating in the advent of self-directed learning. Evidence to support experiential, reflective and self-directed learning is provided, including the use of rating scales. An example from obstetrics is used to highlight the application of these principles. There are barriers to adopting a new educational paradigm, however, lifelong learning remains an excellent tool for continuous professional development.
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Deep Learning: A Primer for Radiologists.
Chartrand, Gabriel; Cheng, Phillip M; Vorontsov, Eugene; Drozdzal, Michal; Turcotte, Simon; Pal, Christopher J; Kadoury, Samuel; Tang, An
2017-01-01
Deep learning is a class of machine learning methods that are gaining success and attracting interest in many domains, including computer vision, speech recognition, natural language processing, and playing games. Deep learning methods produce a mapping from raw inputs to desired outputs (eg, image classes). Unlike traditional machine learning methods, which require hand-engineered feature extraction from inputs, deep learning methods learn these features directly from data. With the advent of large datasets and increased computing power, these methods can produce models with exceptional performance. These models are multilayer artificial neural networks, loosely inspired by biologic neural systems. Weighted connections between nodes (neurons) in the network are iteratively adjusted based on example pairs of inputs and target outputs by back-propagating a corrective error signal through the network. For computer vision tasks, convolutional neural networks (CNNs) have proven to be effective. Recently, several clinical applications of CNNs have been proposed and studied in radiology for classification, detection, and segmentation tasks. This article reviews the key concepts of deep learning for clinical radiologists, discusses technical requirements, describes emerging applications in clinical radiology, and outlines limitations and future directions in this field. Radiologists should become familiar with the principles and potential applications of deep learning in medical imaging. © RSNA, 2017.
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On Learning Ring-Sum-Expansions
DEFF Research Database (Denmark)
Fischer, Paul; Simon, H. -U.
1992-01-01
The problem of learning ring-sum-expansions from examples is studied. Ring-sum-expansions (RSE) are representations of Boolean functions over the base {#123;small infinum, (+), 1}#125;, which reflect arithmetic operations in GF(2). k-RSE is the class of ring-sum-expansions containing only monomials...... of length at most k:. term-RSE is the class of ring-sum-expansions having at most I: monomials. It is shown that k-RSE, k>or=1, is learnable while k-term-RSE, k>2, is not learnable if RPnot=NP. Without using a complexity-theoretical hypothesis, it is proven that k-RSE, k>or=1, and k-term-RSE, k>or=2 cannot...... be learned from positive (negative) examples alone. However, if the restriction that the hypothesis which is output by the learning algorithm is also a k-RSE is suspended, then k-RSE is learnable from positive (negative) examples only. Moreover, it is proved that 2-term-RSE is learnable by a conjunction...
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Deep learning in pharmacogenomics: from gene regulation to patient stratification.
Kalinin, Alexandr A; Higgins, Gerald A; Reamaroon, Narathip; Soroushmehr, Sayedmohammadreza; Allyn-Feuer, Ari; Dinov, Ivo D; Najarian, Kayvan; Athey, Brian D
2018-05-01
This Perspective provides examples of current and future applications of deep learning in pharmacogenomics, including: identification of novel regulatory variants located in noncoding domains of the genome and their function as applied to pharmacoepigenomics; patient stratification from medical records; and the mechanistic prediction of drug response, targets and their interactions. Deep learning encapsulates a family of machine learning algorithms that has transformed many important subfields of artificial intelligence over the last decade, and has demonstrated breakthrough performance improvements on a wide range of tasks in biomedicine. We anticipate that in the future, deep learning will be widely used to predict personalized drug response and optimize medication selection and dosing, using knowledge extracted from large and complex molecular, epidemiological, clinical and demographic datasets.
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Evaluation of Contribution of Local Newspapers to Lifelong Learning (Example of Bartin Province)
Çuhadar, Elif; Ünal, Fatma
2018-01-01
In this study, while the definition of informal education, which displays the main features of lifelong learning, is made, it is also attempted to identify the contributions of the local newspapers, through which the society can reach its own unique and necessary information, to the lifelong learning of their readers. In the research, within this…
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Organisational learning is crystallised into artefacts
DEFF Research Database (Denmark)
Bertelsen, Olav Wedege
1996-01-01
In this note I understand organisational learning in terms of manifest crystallisation of collective experience into artefacts, and I attempt to integrate an engineering and an emancipatory perspective. A Danish music festival serves as an example.......In this note I understand organisational learning in terms of manifest crystallisation of collective experience into artefacts, and I attempt to integrate an engineering and an emancipatory perspective. A Danish music festival serves as an example....
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Machine learning with quantum relative entropy
International Nuclear Information System (INIS)
Tsuda, Koji
2009-01-01
Density matrices are a central tool in quantum physics, but it is also used in machine learning. A positive definite matrix called kernel matrix is used to represent the similarities between examples. Positive definiteness assures that the examples are embedded in an Euclidean space. When a positive definite matrix is learned from data, one has to design an update rule that maintains the positive definiteness. Our update rule, called matrix exponentiated gradient update, is motivated by the quantum relative entropy. Notably, the relative entropy is an instance of Bregman divergences, which are asymmetric distance measures specifying theoretical properties of machine learning algorithms. Using the calculus commonly used in quantum physics, we prove an upperbound of the generalization error of online learning.
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Machine learning with quantum relative entropy
Energy Technology Data Exchange (ETDEWEB)
Tsuda, Koji [Max Planck Institute for Biological Cybernetics, Spemannstr. 38, Tuebingen, 72076 (Germany)], E-mail: koji.tsuda@tuebingen.mpg.de
2009-12-01
Density matrices are a central tool in quantum physics, but it is also used in machine learning. A positive definite matrix called kernel matrix is used to represent the similarities between examples. Positive definiteness assures that the examples are embedded in an Euclidean space. When a positive definite matrix is learned from data, one has to design an update rule that maintains the positive definiteness. Our update rule, called matrix exponentiated gradient update, is motivated by the quantum relative entropy. Notably, the relative entropy is an instance of Bregman divergences, which are asymmetric distance measures specifying theoretical properties of machine learning algorithms. Using the calculus commonly used in quantum physics, we prove an upperbound of the generalization error of online learning.
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Learning unlearnable problems with perceptrons
Watkin, Timothy L. H.; Rau, Albrecht
1992-03-01
We study how well perceptrons learn to solve problems for which there is no perfect answer (the usual case), taking as examples a rule with a threshold, a rule in which the answer is not a monotonic function of the overlap between question and teacher, and a rule with many teachers (a ``hard'' unlearnable problem). In general there is a tendency for first-order transitions, even using spherical perceptrons, as networks compromise between conflicting requirements. Some existing learning schemes fail completely-occasionally even finding the worst possible solution; others are more successful. High-temperature learning seems more satisfactory than zero-temperature algorithms and avoids ``overlearning'' and ``overfitting,'' but care must be taken to avoid ``trapping'' in spurious free-energy minima. For some rules examples alone are not enough to learn from, and some prior information is required.
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Approaches to enhance body-anchored and experience-based learning
DEFF Research Database (Denmark)
Stelter, Reinhard
2008-01-01
in the rhythm and intentional orientation can also be applied to different areas, for example, psychotherapy or coaching. But the main focus is on examples from physical education. The final part of the article sees body-anchored learning as integrated in a cultural setting and as part of learning...
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Algorithms for Learning Preferences for Sets of Objects
Wagstaff, Kiri L.; desJardins, Marie; Eaton, Eric
2010-01-01
A method is being developed that provides for an artificial-intelligence system to learn a user's preferences for sets of objects and to thereafter automatically select subsets of objects according to those preferences. The method was originally intended to enable automated selection, from among large sets of images acquired by instruments aboard spacecraft, of image subsets considered to be scientifically valuable enough to justify use of limited communication resources for transmission to Earth. The method is also applicable to other sets of objects: examples of sets of objects considered in the development of the method include food menus, radio-station music playlists, and assortments of colored blocks for creating mosaics. The method does not require the user to perform the often-difficult task of quantitatively specifying preferences; instead, the user provides examples of preferred sets of objects. This method goes beyond related prior artificial-intelligence methods for learning which individual items are preferred by the user: this method supports a concept of setbased preferences, which include not only preferences for individual items but also preferences regarding types and degrees of diversity of items in a set. Consideration of diversity in this method involves recognition that members of a set may interact with each other in the sense that when considered together, they may be regarded as being complementary, redundant, or incompatible to various degrees. The effects of such interactions are loosely summarized in the term portfolio effect. The learning method relies on a preference representation language, denoted DD-PREF, to express set-based preferences. In DD-PREF, a preference is represented by a tuple that includes quality (depth) functions to estimate how desired a specific value is, weights for each feature preference, the desired diversity of feature values, and the relative importance of diversity versus depth. The system applies statistical
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Li, Xin; Gray, Kathleen; Verspoor, Karin; Barnett, Stephen
2017-01-01
Online social networks (OSN) enable health professionals to learn informally, for example by sharing medical knowledge, or discussing practice management challenges and clinical issues. Understanding the learning context in OSN is necessary to get a complete picture of the learning process, in order to better support this type of learning. This study proposes critical contextual factors for understanding the learning context in OSN for health professionals, and demonstrates how these contextual factors can be used to analyse the learning context in a designated online learning environment for health professionals.
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Examples and problems in mathematical statistics
Zacks, Shelemyahu
2013-01-01
This book presents examples that illustrate the theory of mathematical statistics and details how to apply the methods for solving problems. While other books on the topic contain problems and exercises, they do not focus on problem solving. This book fills an important niche in the statistical theory literature by providing a theory/example/problem approach. Each chapter is divided into four parts: Part I provides the needed theory so readers can become familiar with the concepts, notations, and proven results; Part II presents examples from a variety of fields including engineering, mathem
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Plasticity-related genes in brain development and amygdala-dependent learning.
Ehrlich, D E; Josselyn, S A
2016-01-01
Learning about motivationally important stimuli involves plasticity in the amygdala, a temporal lobe structure. Amygdala-dependent learning involves a growing number of plasticity-related signaling pathways also implicated in brain development, suggesting that learning-related signaling in juveniles may simultaneously influence development. Here, we review the pleiotropic functions in nervous system development and amygdala-dependent learning of a signaling pathway that includes brain-derived neurotrophic factor (BDNF), extracellular signaling-related kinases (ERKs) and cyclic AMP-response element binding protein (CREB). Using these canonical, plasticity-related genes as an example, we discuss the intersection of learning-related and developmental plasticity in the immature amygdala, when aversive and appetitive learning may influence the developmental trajectory of amygdala function. We propose that learning-dependent activation of BDNF, ERK and CREB signaling in the immature amygdala exaggerates and accelerates neural development, promoting amygdala excitability and environmental sensitivity later in life. © 2015 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.
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Generalized query-based active learning to identify differentially methylated regions in DNA.
Haque, Md Muksitul; Holder, Lawrence B; Skinner, Michael K; Cook, Diane J
2013-01-01
Active learning is a supervised learning technique that reduces the number of examples required for building a successful classifier, because it can choose the data it learns from. This technique holds promise for many biological domains in which classified examples are expensive and time-consuming to obtain. Most traditional active learning methods ask very specific queries to the Oracle (e.g., a human expert) to label an unlabeled example. The example may consist of numerous features, many of which are irrelevant. Removing such features will create a shorter query with only relevant features, and it will be easier for the Oracle to answer. We propose a generalized query-based active learning (GQAL) approach that constructs generalized queries based on multiple instances. By constructing appropriately generalized queries, we can achieve higher accuracy compared to traditional active learning methods. We apply our active learning method to find differentially DNA methylated regions (DMRs). DMRs are DNA locations in the genome that are known to be involved in tissue differentiation, epigenetic regulation, and disease. We also apply our method on 13 other data sets and show that our method is better than another popular active learning technique.
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Building Artificial Vision Systems with Machine Learning
Energy Technology Data Exchange (ETDEWEB)
LeCun, Yann [New York University
2011-02-23
Three questions pose the next challenge for Artificial Intelligence (AI), robotics, and neuroscience. How do we learn perception (e.g. vision)? How do we learn representations of the perceptual world? How do we learn visual categories from just a few examples?
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Framework for robot skill learning using reinforcement learning
Wei, Yingzi; Zhao, Mingyang
2003-09-01
Robot acquiring skill is a process similar to human skill learning. Reinforcement learning (RL) is an on-line actor critic method for a robot to develop its skill. The reinforcement function has become the critical component for its effect of evaluating the action and guiding the learning process. We present an augmented reward function that provides a new way for RL controller to incorporate prior knowledge and experience into the RL controller. Also, the difference form of augmented reward function is considered carefully. The additional reward beyond conventional reward will provide more heuristic information for RL. In this paper, we present a strategy for the task of complex skill learning. Automatic robot shaping policy is to dissolve the complex skill into a hierarchical learning process. The new form of value function is introduced to attain smooth motion switching swiftly. We present a formal, but practical, framework for robot skill learning and also illustrate with an example the utility of method for learning skilled robot control on line.
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Machine learning an artificial intelligence approach
Banerjee, R; Bradshaw, Gary; Carbonell, Jaime Guillermo; Mitchell, Tom Michael; Michalski, Ryszard Spencer
1983-01-01
Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs-particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV a
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Supervised Learning for Dynamical System Learning.
Hefny, Ahmed; Downey, Carlton; Gordon, Geoffrey J
2015-01-01
Recently there has been substantial interest in spectral methods for learning dynamical systems. These methods are popular since they often offer a good tradeoff between computational and statistical efficiency. Unfortunately, they can be difficult to use and extend in practice: e.g., they can make it difficult to incorporate prior information such as sparsity or structure. To address this problem, we present a new view of dynamical system learning: we show how to learn dynamical systems by solving a sequence of ordinary supervised learning problems, thereby allowing users to incorporate prior knowledge via standard techniques such as L 1 regularization. Many existing spectral methods are special cases of this new framework, using linear regression as the supervised learner. We demonstrate the effectiveness of our framework by showing examples where nonlinear regression or lasso let us learn better state representations than plain linear regression does; the correctness of these instances follows directly from our general analysis.
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Myron, Rowan; French, Catherine; Sullivan, Paul; Sathyamoorthy, Ganesh; Barlow, James; Pomeroy, Linda
2018-05-01
Improving the quality of healthcare involves collaboration between many different stakeholders. Collaborative learning theory suggests that teaching different professional groups alongside each other may enable them to develop skills in how to collaborate effectively, but there is little literature on how this works in practice. Further, though it is recognised that patients play a fundamental role in quality improvement, there are few examples of where they learn together with professionals. To contribute to addressing this gap, we review a collaborative fellowship in Northwest London, designed to build capacity to improve healthcare, which enabled patients and professionals to learn together. Using the lens of collaborative learning, we conducted an exploratory study of six cohorts of the year long programme (71 participants). Data were collected using open text responses from an online survey (n = 31) and semi-structured interviews (n = 34) and analysed using an inductive open coding approach. The collaborative design of the Fellowship, which included bringing multiple perspectives to discussions of real world problems, was valued by participants who reflected on the safe, egalitarian space created by the programme. Participants (healthcare professionals and patients) found this way of learning initially challenging yet ultimately productive. Despite the pedagogical and practical challenges of developing a collaborative programme, this study indicates that opening up previously restricted learning opportunities as widely as possible, to include patients and carers, is an effective mechanism to develop collaborative skills for quality improvement.
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Alzahrani, Ibraheem; Woollard, John
2013-01-01
This paper seeks to discover the relationship between both the social constructivist learning theory and the collaborative learning environment. This relationship can be identified by giving an example of the learning environment. Due to wiki characteristics, Wiki technology is one of the most famous learning environments that can show the…
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iPhone Location Aware Apps by Example - Beginners Guide
Chawdhary, Zeeshan
2012-01-01
Using a By example approach you will master the essentials of location awareness and augmented reality by building five complete apps using easy to follow step by step instructions geared towards newcomers. Novice to professional level iOS programmers who want to master location awareness and augmented reality. Build five practical location-based iOS Apps from scratch, a first for any book, converting learning into actual implementation.
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Teaching the science of learning.
Weinstein, Yana; Madan, Christopher R; Sumeracki, Megan A
2018-01-01
The science of learning has made a considerable contribution to our understanding of effective teaching and learning strategies. However, few instructors outside of the field are privy to this research. In this tutorial review, we focus on six specific cognitive strategies that have received robust support from decades of research: spaced practice, interleaving, retrieval practice, elaboration, concrete examples, and dual coding. We describe the basic research behind each strategy and relevant applied research, present examples of existing and suggested implementation, and make recommendations for further research that would broaden the reach of these strategies.
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Psychometric Principles in Measurement for Geoscience Education Research: A Climate Change Example
Libarkin, J. C.; Gold, A. U.; Harris, S. E.; McNeal, K.; Bowles, R.
2015-12-01
Understanding learning in geoscience classrooms requires that we use valid and reliable instruments aligned with intended learning outcomes. Nearly one hundred instruments assessing conceptual understanding in undergraduate science and engineering classrooms (often called concept inventories) have been published and are actively being used to investigate learning. The techniques used to develop these instruments vary widely, often with little attention to psychometric principles of measurement. This paper will discuss the importance of using psychometric principles to design, evaluate, and revise research instruments, with particular attention to the validity and reliability steps that must be undertaken to ensure that research instruments are providing meaningful measurement. An example from a climate change inventory developed by the authors will be used to exemplify the importance of validity and reliability, including the value of item response theory for instrument development. A 24-item instrument was developed based on published items, conceptions research, and instructor experience. Rasch analysis of over 1000 responses provided evidence for the removal of 5 items for misfit and one item for potential bias as measured via differential item functioning. The resulting 18-item instrument can be considered a valid and reliable measure based on pre- and post-implementation metrics. Consideration of the relationship between respondent demographics and concept inventory scores provides unique insight into the relationship between gender, religiosity, values and climate change understanding.
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Machine Learning for Email Spam Filtering and Priority Inbox
Conway, Drew
2011-01-01
If you're an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You'll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion, using a case-study driven approach rather than a traditional math-heavy presentation. This book also includes a short tutorial on using the popular R language to manipulate and analyze data. You'll get clear examples for analyzing sample data and writing machi
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Thiessen, Erik D
2017-01-05
Statistical learning has been studied in a variety of different tasks, including word segmentation, object identification, category learning, artificial grammar learning and serial reaction time tasks (e.g. Saffran et al. 1996 Science 274: , 1926-1928; Orban et al. 2008 Proceedings of the National Academy of Sciences 105: , 2745-2750; Thiessen & Yee 2010 Child Development 81: , 1287-1303; Saffran 2002 Journal of Memory and Language 47: , 172-196; Misyak & Christiansen 2012 Language Learning 62: , 302-331). The difference among these tasks raises questions about whether they all depend on the same kinds of underlying processes and computations, or whether they are tapping into different underlying mechanisms. Prior theoretical approaches to statistical learning have often tried to explain or model learning in a single task. However, in many cases these approaches appear inadequate to explain performance in multiple tasks. For example, explaining word segmentation via the computation of sequential statistics (such as transitional probability) provides little insight into the nature of sensitivity to regularities among simultaneously presented features. In this article, we will present a formal computational approach that we believe is a good candidate to provide a unifying framework to explore and explain learning in a wide variety of statistical learning tasks. This framework suggests that statistical learning arises from a set of processes that are inherent in memory systems, including activation, interference, integration of information and forgetting (e.g. Perruchet & Vinter 1998 Journal of Memory and Language 39: , 246-263; Thiessen et al. 2013 Psychological Bulletin 139: , 792-814). From this perspective, statistical learning does not involve explicit computation of statistics, but rather the extraction of elements of the input into memory traces, and subsequent integration across those memory traces that emphasize consistent information (Thiessen and Pavlik
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Flache, A.
2002-01-01
Concerns about models of cultural adaptation as analogs of genetic selection have led cognitive game theorists to explore learning-theoretic specifications. Two prominent examples, the Bush-Mosteller stochastic learning model and the Roth-Erev payoff-matching model, are aligned and integrated as
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Using Response Cards in Teacher Education--A Case Example in Taiwan
Wang, Hui-Ting
2016-01-01
Using response cards is one strategy to increase active student response. This approach may also satisfy a unique cultural learning need in some cultures like Taiwan where students are hesitant to speak in class. This paper provides a case example of using personal writing boards (PWBs) as an alternative response option to improve student…
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Innovations in occupational health nursing education, including a distance learning approach.
Lowis, A; Ellington, H
1991-07-01
The results of a survey in the United Kingdom in the late 1980s indicated that many occupational health nurses were not being sent for formal training because of the length of time nurses needed to be away from their employment and the difficulty employers had in finding nurse replacements during training. To meet the needs of occupational health nurses and their employers, the Robert Gordon Institute of Technology (RGIT) instituted a modular training course that offers full time attendance or distance learning options. RGIT's course consists of six modules over a 1 to 3 year period, which students can take in any order after completing a short Return to Study course. Using the innovative distance learning option, occupational health nurses can earn a Diploma in Occupational Health Nursing while completing most of their courses at the workplace, thus avoiding conflicts between training and work schedules.
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Active Learning Strategies for Phenotypic Profiling of High-Content Screens.
Smith, Kevin; Horvath, Peter
2014-06-01
High-content screening is a powerful method to discover new drugs and carry out basic biological research. Increasingly, high-content screens have come to rely on supervised machine learning (SML) to perform automatic phenotypic classification as an essential step of the analysis. However, this comes at a cost, namely, the labeled examples required to train the predictive model. Classification performance increases with the number of labeled examples, and because labeling examples demands time from an expert, the training process represents a significant time investment. Active learning strategies attempt to overcome this bottleneck by presenting the most relevant examples to the annotator, thereby achieving high accuracy while minimizing the cost of obtaining labeled data. In this article, we investigate the impact of active learning on single-cell-based phenotype recognition, using data from three large-scale RNA interference high-content screens representing diverse phenotypic profiling problems. We consider several combinations of active learning strategies and popular SML methods. Our results show that active learning significantly reduces the time cost and can be used to reveal the same phenotypic targets identified using SML. We also identify combinations of active learning strategies and SML methods which perform better than others on the phenotypic profiling problems we studied. © 2014 Society for Laboratory Automation and Screening.
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VideoStory Embeddings Recognize Events when Examples are Scarce
Habibian, Amirhossein; Mensink, Thomas; Snoek, Cees G. M.
2015-01-01
This paper aims for event recognition when video examples are scarce or even completely absent. The key in such a challenging setting is a semantic video representation. Rather than building the representation from individual attribute detectors and their annotations, we propose to learn the entire representation from freely available web videos and their descriptions using an embedding between video features and term vectors. In our proposed embedding, which we call VideoStory, the correlati...
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Applying adult learning practices in medical education.
Reed, Suzanne; Shell, Richard; Kassis, Karyn; Tartaglia, Kimberly; Wallihan, Rebecca; Smith, Keely; Hurtubise, Larry; Martin, Bryan; Ledford, Cynthia; Bradbury, Scott; Bernstein, Henry Hank; Mahan, John D
2014-07-01
The application of the best practices of teaching adults to the education of adults in medical education settings is important in the process of transforming learners to become and remain effective physicians. Medical education at all levels should be designed to equip physicians with the knowledge, clinical skills, and professionalism that are required to deliver quality patient care. The ultimate outcome is the health of the patient and the health status of the society. In the translational science of medical education, improved patient outcomes linked directly to educational events are the ultimate goal and are best defined by rigorous medical education research efforts. To best develop faculty, the same principles of adult education and teaching adults apply. In a systematic review of faculty development initiatives designed to improve teaching effectiveness in medical education, the use of experiential learning, feedback, effective relationships with peers, and diverse educational methods were found to be most important in the success of these programs. In this article, we present 5 examples of applying the best practices in teaching adults and utilizing the emerging understanding of the neurobiology of learning in teaching students, trainees, and practitioners. These include (1) use of standardized patients to develop communication skills, (2) use of online quizzes to assess knowledge and aid self-directed learning, (3) use of practice sessions and video clips to enhance significant learning of teaching skills, (4) use of case-based discussions to develop professionalism concepts and skills, and (5) use of the American Academy of Pediatrics PediaLink as a model for individualized learner-directed online learning. These examples highlight how experiential leaning, providing valuable feedback, opportunities for practice, and stimulation of self-directed learning can be utilized as medical education continues its dynamic transformation in the years ahead
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Supporting learning experiences beyond the school context
Rusman, Ellen
2015-01-01
In this workshop you’ll become familiar with two examples of how technology can support learning experiences that go beyond, but still connect to, the school context. The first example, called Elena, is for primary schools. The second example, called weSPOT, is for secondary schools. The Elena
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The Marriage of Constructivism and Flipped Learning
Chang, Sau Hou
2016-01-01
This report talks about how a constructivist teacher used flipped learning in a college class. To illustrate how to use flipped learning in a constructivist classroom, examples were given with the four pillars of F-L-I-P: Flexible environment, learning culture, intentional content, and professional educator.
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Inverse problems in machine learning: An application to brain activity interpretation
International Nuclear Information System (INIS)
Prato, M; Zanni, L
2008-01-01
In a typical machine learning problem one has to build a model from a finite training set which is able to generalize the properties characterizing the examples of the training set to new examples. The model has to reflect as much as possible the set of training examples but, especially in real-world problems in which the data are often corrupted by different sources of noise, it has to avoid a too strict dependence on the training examples themselves. Recent studies on the relationship between this kind of learning problem and the regularization theory for ill-posed inverse problems have given rise to new regularized learning algorithms. In this paper we recall some of these learning methods and we propose an accelerated version of the classical Landweber iterative scheme which results particularly efficient from the computational viewpoint. Finally, we compare the performances of these methods with the classical Support Vector Machines learning algorithm on a real-world experiment concerning brain activity interpretation through the analysis of functional magnetic resonance imaging data.
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Navigating Difference through Multicultural Service Learning
Pasquesi, Kira
2013-01-01
This chapter explores the design and implementation of service learning as a multicultural initiative. The author shares considerations for multicultural service-learning practice using an example from a course project focused on leadership skill development in public service.
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Moral Learning: Conceptual foundations and normative relevance.
Railton, Peter
2017-10-01
What is distinctive about a bringing a learning perspective to moral psychology? Part of the answer lies in the remarkable transformations that have taken place in learning theory over the past two decades, which have revealed how powerful experience-based learning can be in the acquisition of abstract causal and evaluative representations, including generative models capable of attuning perception, cognition, affect, and action to the physical and social environment. When conjoined with developments in neuroscience, these advances in learning theory permit a rethinking of fundamental questions about the acquisition of moral understanding and its role in the guidance of behavior. For example, recent research indicates that spatial learning and navigation involve the formation of non-perspectival as well as ego-centric models of the physical environment, and that spatial representations are combined with learned information about risk and reward to guide choice and potentiate further learning. Research on infants provides evidence that they form non-perspectival expected-value representations of agents and actions as well, which help them to navigate the human environment. Such representations can be formed by highly-general mental processes such as causal and empathic simulation, and thus afford a foundation for spontaneous moral learning and action that requires no innate moral faculty and can exhibit substantial autonomy with respect to community norms. If moral learning is indeed integral with the acquisition and updating of casual and evaluative models, this affords a new way of understanding well-known but seemingly puzzling patterns in intuitive moral judgment-including the notorious "trolley problems." Copyright © 2016 The Author. Published by Elsevier B.V. All rights reserved.
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On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products.
Varshney, Kush R; Alemzadeh, Homa
2017-09-01
Machine learning algorithms increasingly influence our decisions and interact with us in all parts of our daily lives. Therefore, just as we consider the safety of power plants, highways, and a variety of other engineered socio-technical systems, we must also take into account the safety of systems involving machine learning. Heretofore, the definition of safety has not been formalized in a machine learning context. In this article, we do so by defining machine learning safety in terms of risk, epistemic uncertainty, and the harm incurred by unwanted outcomes. We then use this definition to examine safety in all sorts of applications in cyber-physical systems, decision sciences, and data products. We find that the foundational principle of modern statistical machine learning, empirical risk minimization, is not always a sufficient objective. We discuss how four different categories of strategies for achieving safety in engineering, including inherently safe design, safety reserves, safe fail, and procedural safeguards can be mapped to a machine learning context. We then discuss example techniques that can be adopted in each category, such as considering interpretability and causality of predictive models, objective functions beyond expected prediction accuracy, human involvement for labeling difficult or rare examples, and user experience design of software and open data.
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Energy Technology Data Exchange (ETDEWEB)
Chikkagoudar, Satish; Chatterjee, Samrat; Thomas, Dennis G.; Carroll, Thomas E.; Muller, George
2017-04-21
The absence of a robust and unified theory of cyber dynamics presents challenges and opportunities for using machine learning based data-driven approaches to further the understanding of the behavior of such complex systems. Analysts can also use machine learning approaches to gain operational insights. In order to be operationally beneficial, cybersecurity machine learning based models need to have the ability to: (1) represent a real-world system, (2) infer system properties, and (3) learn and adapt based on expert knowledge and observations. Probabilistic models and Probabilistic graphical models provide these necessary properties and are further explored in this chapter. Bayesian Networks and Hidden Markov Models are introduced as an example of a widely used data driven classification/modeling strategy.
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Best Practices for Learning Video Concept Detectors from Social Media Examples
Kordumova, S.; Li, X.; Snoek, C.G.M.
2015-01-01
Learning video concept detectors from social media sources, such as Flickr images and YouTube videos, has the potential to address a wide variety of concept queries for video search. While the potential has been recognized by many, and progress on the topic has been impressive, we argue that key
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Material and process selection using product examples
DEFF Research Database (Denmark)
Lenau, Torben Anker
2001-01-01
The objective of the paper is to suggest a different procedure for selecting materials and processes within the product development work. The procedure includes using product examples in order to increase the number of alternative materials and processes that is considered. Product examples can c...... a search engine, and through hyperlinks can relevant materials and processes be explored. Realising that designers are very sensitive to user interfaces do all descriptions of materials, processes and products include graphical descriptions, i.e. pictures or computer graphics....
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Material and process selection using product examples
DEFF Research Database (Denmark)
Lenau, Torben Anker
2002-01-01
The objective of the paper is to suggest a different procedure for selecting materials and processes within the product development work. The procedure includes using product examples in order to increase the number of alternative materials and processes that is considered. Product examples can c...... a search engine, and through hyperlinks can relevant materials and processes be explored. Realising that designers are very sensitive to user interfaces do all descriptions of materials, processes and products include graphical descriptions, i.e. pictures or computer graphics....
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DEFF Research Database (Denmark)
Olesen, Henning Salling
2007-01-01
to the understanding of knowledge, based on examples from the author's research into professional learning (general practitioners). The pivotal role of language use and language socialisation is explained in brief, developing a psychodynamic complement to a language game concept of language use.......Taking it's point of departure in some critical remarks to some of the most important recent theorizing of learning in the workplace, this chapter presents an alternative framework for theorizing learning as a subjective process in a social and societal context, based in life history research. Key...
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Seitz, Aaron R
2017-07-10
Perceptual learning refers to how experience can change the way we perceive sights, sounds, smells, tastes, and touch. Examples abound: music training improves our ability to discern tones; experience with food and wines can refine our pallet (and unfortunately more quickly empty our wallet), and with years of training radiologists learn to save lives by discerning subtle details of images that escape the notice of untrained viewers. We often take perceptual learning for granted, but it has a profound impact on how we perceive the world. In this Primer, I will explain how perceptual learning is transformative in guiding our perceptual processes, how research into perceptual learning provides insight into fundamental mechanisms of learning and brain processes, and how knowledge of perceptual learning can be used to develop more effective training approaches for those requiring expert perceptual skills or those in need of perceptual rehabilitation (such as individuals with poor vision). I will make a case that perceptual learning is ubiquitous, scientifically interesting, and has substantial practical utility to us all. Copyright © 2017. Published by Elsevier Ltd.
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Panzarino, Onofrio
2014-01-01
An easy-to-follow guide full of tips and examples of real-world applications. In each chapter, a thorough example will show you the concepts in action, followed by a detailed explanation.This book is intended for those who want to learn how to create, query, and maintain a graph database, or who want to migrate to a graph database from SQL. It would be helpful to have some familiarity with Java and/or SQL, but no prior experience is required.
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Optics learning by computing, with examples using Maple, MathCad, Mathematica, and MATLAB
Moeller, Karl Dieter
2007-01-01
This new edition is intended for a one semester course in optics for juniors and seniors in science and engineering; it uses scripts from Maple, MathCad, Mathematica, and MATLAB provide a simulated laboratory where students can learn by exploration and discovery instead of passive absorption. The text covers all the standard topics of a traditional optics course, including: geometrical optics and aberration, interference and diffraction, coherence, Maxwell's equations, wave guides and propagating modes, blackbody radiation, atomic emission and lasers, optical properties of materials, Fourier transforms and FT spectroscopy, image formation, and holography. It contains step by step derivations of all basic formulas in geometrical, wave and Fourier optics. The basic text is supplemented by over 170 files in Maple, MathCad, Mathematica, and MATLAB (many of which are in the text, each suggesting programs to solve a particular problem, and each linked to a topic in or application of optics. The computer files are d...
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Rock, Adam J.; Coventry, William L.; Morgan, Methuen I.; Loi, Natasha M.
2016-01-01
Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal, Ginsburg, & Schau, 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof, Ceroni, Jeong, & Moghaddam, 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to...
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Noor, Ahmed K. (Compiler)
2003-01-01
An overview of the advanced learning technologies is given in this presentation along with a brief description of their impact on future aerospace workforce development. The presentation is divided into five parts (see Figure 1). In the first part, a brief historical account of the evolution of learning technologies is given. The second part describes the current learning activities. The third part describes some of the future aerospace systems, as examples of high-tech engineering systems, and lists their enabling technologies. The fourth part focuses on future aerospace research, learning and design environments. The fifth part lists the objectives of the workshop and some of the sources of information on learning technologies and learning networks.
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THE DOMAINS FOR THE MULTI-CRITERIA DECISIONS ABOUT E-LEARNING SYSTEMS
Directory of Open Access Journals (Sweden)
Murat Pasa UYSAL
2012-04-01
Full Text Available Developments in computer and information technologies continue to give opportunities for designing advanced E-learning systems while entailing objective and technical evaluation methodologies. Design and development of E-learning systems require time-consuming and labor-intensive processes; therefore any decision about these systems and their analysis needs systematic and structured guidance to lead to better decisions. Multi-Criteria Decision Analysis (MCDA techniques are applicable in instructional technology-related research areas as well as in other academic disciplines. In this study, a conceptual domain model and a decision activity framework is proposed for E-learning systems. Instructional, technological, and administrative decision domains are included in this model. Finally, an illustrative example is given to show that AHP is an effective MCDA method for E-learning-related decisions.
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Object Oriented Learning Objects in Online Education: A Framework and Example.
Rincon, Lilian; Parker, Drew
Online learning is coming of age in both postsecondary education and industry. The courses now offered online range from kinesiology to mathematics to complete M.B.A. programs. The growing popularity of online education has created a need to reduce costs without diminishing the value of the edification. In response to this need, an instructional…
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Reflection-for-action and the choice or design of examples in the teaching of mathematics
Olteanu, Constanta
2017-09-01
A qualitative study documented the use of examples in connection with reflection-for-action by mathematics educators. This article focuses on the use of mathematical examples that were chosen or designed by the teachers during lesson planning. The data are drawn from a 3-year project intended to make educational research in mathematics more useful to teachers. The focus in the present article was on how teachers reflected about students' learning as they prepared lessons. Analysis of the data showed that reflection-for-action was an effective teacher practice and useful for increasing the quality of the content the teacher intended to cover in a teaching situation. However, at the beginning of the study the teachers could not provide a proper explanation of what reflection was about. Their reflections were limited to preparing for the lessons in relation to the actual curriculum in Sweden. During the study, the teachers' reflection-for-action improved as a consequence of using patterns of variation in designing examples connected to the object of learning.
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What Really is Deep Learning Doing?
Xiong, Chuyu
2017-01-01
Deep learning has achieved a great success in many areas, from computer vision to natural language processing, to game playing, and much more. Yet, what deep learning is really doing is still an open question. There are a lot of works in this direction. For example, [5] tried to explain deep learning by group renormalization, and [6] tried to explain deep learning from the view of functional approximation. In order to address this very crucial question, here we see deep learning from perspect...
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Data Processing And Machine Learning Methods For Multi-Modal Operator State Classification Systems
Hearn, Tristan A.
2015-01-01
This document is intended as an introduction to a set of common signal processing learning methods that may be used in the software portion of a functional crew state monitoring system. This includes overviews of both the theory of the methods involved, as well as examples of implementation. Practical considerations are discussed for implementing modular, flexible, and scalable processing and classification software for a multi-modal, multi-channel monitoring system. Example source code is also given for all of the discussed processing and classification methods.
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T.A.J.M. van Gog (Tamara); G.W.C. Paas (Fred); J. Sweller (John)
2010-01-01
textabstractThe contributions to this special issue document some recent advances of cognitive load theory, and are based on contributions to the Third International Cognitive Load Theory Conference (2009), Heerlen, The Netherlands. The contributions focus on developments in example-based learning,
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Categorising Example Sentences in Dictionaries for Research ...
African Journals Online (AJOL)
ers the grammatical support that they provide is more important. While there is ... The goal of this research is to present characteristics of examples in a way that makes them easier to .... the headword is simple or inflected in the example. The final .... I have also included whether the sentence is a command as some teachers.
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Academic Essay Writing as Imitative Problem Solving: Examples from Distance Learning
Robertson, Sydney Ian
2014-01-01
Students in tertiary education are often faced with the prospect of writing an essay on a topic they know nothing about in advance. In distance learning institutions, essays are a common method of assessment in the UK, and specified course texts remain the main sources of information the students have. How do students use a source text to…
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Creating a blended learning module in an online master study programme in oncology.
Mayer, Benjamin; Ring, Christina; Muche, Rainer; Rothenbacher, Dietrich; Schmidt-Strassburger, Uta
2015-01-01
The medical faculty of Ulm University has launched the postgraduate master online study programme Advanced Oncology (AO) in 2010. We describe the challenges in developing an e-learning module using the example of a medical biometry course, focusing the implementation of the course material and our single-loop learning experience after the first students have finished and evaluated the lecture. Programme participants are qualified medical doctors and researchers in biomedical areas related to the field of oncology. The study programme provides the majority of lectures online via didactic videos accompanied by one-week attendance seminars. Supplementary learning materials include review articles, supportive reading material, multiple choice questions, and exercises for each unit. Lecture evaluations based on specific questions concerning learning environment and information learned, each measured on a five-point Likert scale. Lecture videos were implemented following the classical triad of the didactic process, using oncological examples from practice to teach. The online tutorial support offered to students was hardly used, thus we enhanced faculty presence during the face-to-face seminars. Lecture evaluations improved after revising the learning material on the basis of the first AO student cohort's comments. Developing and implementing an online study programme is challenging with respect of maximizing the information students learn due to limited opportunities for personal contact between lecturers and students. A more direct interaction of lecturers and students in a blended learning setting outperforms a mere web-based contact in terms of learning advantage and students' satisfaction, especially for complex methodological content.
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Pentaho 5.0 reporting by example beginner's guide
Mattío, Mariano García
2013-01-01
This is a Cookbook with easy-to-follow recipes, containing practical and detailed examples which are all fully backed up with code, illustrations, and tips to dig deep into Backbone.js.This book is great for JavaScript developers who want to learn how to build advanced frontend applications with the Backbone.js framework. This book can be used in educational institutions to teach students how to build frontend applications in an MVC manner.It's assumed that you have some experience in jQuery, and are familiar with HTML.
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Choi, Woojae; Jacobs, Ronald L.
2011-01-01
While workplace learning includes formal and informal learning, the relationship between the two has been overlooked, because they have been viewed as separate entities. This study investigated the effects of formal learning, personal learning orientation, and supportive learning environment on informal learning among 203 middle managers in Korean…
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E-LEARNING INNOVATIONS IN HIGHER EDUCATION
Directory of Open Access Journals (Sweden)
NICOLETA GUDANESCU
2012-05-01
Full Text Available This scientific work is presenting the ways to do computer assisted education for students, giving the good practice examples, presenting new electronic learning systems, the advantages and limits and to try to emphasize that these days E-learning is one of the most efficient way to reach education at all levels, specially higher education systems. The objectives of this paper are: to explain the contribution of modern technologies and electronic systems to educational processes, to define the concept of technology based learning, to introduce the electronic tools for education, to present good practice examples in implementing E-learning systems in higher education and corporate environment in Romania and last but not least the new electronic learning systems. Introducing the computers and ITC in educational processes facilitates them and makes the educational system modern and efficient. E - learning innovations offers a core group of professional development courses designed to help anyone achieve professional advancement and personal enrichment. The programs are founded on an extensive experience and understanding of technology-based learning environments. They focus on the most current industry practices for various learning environments and best approaches for multiple learning styles. They ensure that the students get the information and skills needed to achieve more in teaching practice and to confidently enter the distance or online classroom.
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Tomasello, Michael
2016-05-01
M. Tomasello, A. Kruger, and H. Ratner (1993) proposed a theory of cultural learning comprising imitative learning, instructed learning, and collaborative learning. Empirical and theoretical advances in the past 20 years suggest modifications to the theory; for example, children do not just imitate but overimitate in order to identify and affiliate with others in their cultural group, children learn from pedagogy not just episodic facts but the generic structure of their cultural worlds, and children collaboratively co-construct with those in their culture normative rules for doing things. In all, human children do not just culturally learn useful instrumental activities and information, they conform to the normative expectations of the cultural group and even contribute themselves to the creation of such normative expectations. © 2016 The Author. Child Development © 2016 Society for Research in Child Development, Inc.
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A Critique of Stephen Downes' "Learning Objects": A Chinese perspective
Directory of Open Access Journals (Sweden)
Fuhua (Oscar Lin
2001-07-01
Full Text Available This paper by Stephen Downes recommends a way of sharing online teaching/ course materials to accelerate course development and make education more cost-effective. His paper is a review of basic information about learning objects (LOs and includes examples that illustrate such technical terms as XML and TML. His paper, however, does not identify several important issues such as: a the level of granularity of learning objects; b selection and integration of learning objects in an appropriate way to form higher level units of study; c training of professors in the use of learning objects; d appropriate use of metadata to facilitate composition of higher level units; and e the potential of computer agents to facilitate the dynamic composition of personalized lessons. An unorganized aggregate of learning objects simply does not constitute a course. In order to create a properly designed final course, student and instructor interaction must be built in.
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The Method of High School English Word Learning
Institute of Scientific and Technical Information of China (English)
吴博涵
2016-01-01
Most Chinese students are not interested in English learning, especially English words. In this paper, I focus on English vocabulary learning, for example, the study of high school students English word learning method, and also introduce several ways to make vocabulary memory becomes more effective. The purpose is to make high school students grasp more English word learning skills.
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Machine learning paradigms applications in recommender systems
Lampropoulos, Aristomenis S
2015-01-01
This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the monograph at hand. Specifically, the books approach is based on one-class classification methodologies that have been appearing in recent machine learning research. The blending of recommender systems and one-class classification provides a new very fertile field for research, innovation and development with potential applications in “big data” as well as “sparse data” problems. The book will be useful to researchers, practitioners and graduate students dealing with problems of extensive and complex data. It is intended for both the expert/researcher in the fields of Pattern Recognition, Machine Learning and ...
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Decrease in gamma-band activity tracks sequence learning
Madhavan, Radhika; Millman, Daniel; Tang, Hanlin; Crone, Nathan E.; Lenz, Fredrick A.; Tierney, Travis S.; Madsen, Joseph R.; Kreiman, Gabriel; Anderson, William S.
2015-01-01
Learning novel sequences constitutes an example of declarative memory formation, involving conscious recall of temporal events. Performance in sequence learning tasks improves with repetition and involves forming temporal associations over scales of seconds to minutes. To further understand the neural circuits underlying declarative sequence learning over trials, we tracked changes in intracranial field potentials (IFPs) recorded from 1142 electrodes implanted throughout temporal and frontal cortical areas in 14 human subjects, while they learned the temporal-order of multiple sequences of images over trials through repeated recall. We observed an increase in power in the gamma frequency band (30–100 Hz) in the recall phase, particularly in areas within the temporal lobe including the parahippocampal gyrus. The degree of this gamma power enhancement decreased over trials with improved sequence recall. Modulation of gamma power was directly correlated with the improvement in recall performance. When presenting new sequences, gamma power was reset to high values and decreased again after learning. These observations suggest that signals in the gamma frequency band may play a more prominent role during the early steps of the learning process rather than during the maintenance of memory traces. PMID:25653598
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Understanding `green chemistry' and `sustainability': an example of problem-based learning (PBL)
Günter, Tuğçe; Akkuzu, Nalan; Alpat, Şenol
2017-10-01
Background: This study uses problem-based learning (PBL) to ensure that students comprehend the significance of green chemistry better by experiencing the stages of identifying the problem, developing hypotheses, and providing solutions within the problem-solving process.
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International Nuclear Information System (INIS)
Donnat, Ph.; Treimany, C.; Gouedard, C.; Morice, O.
1998-06-01
This document presents some examples which were used for debugging the code. It seemed useful to write these examples onto a book to be sure the code would not regret; to give warranties for the code's functionality; to propose some examples to illustrate the possibilities and the limits of Miro. (author)
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Mohaan, Madhurranjan
2014-01-01
If you want to learn how to use Ansible to automate an infrastructure, either from scratch or to augment your current tooling with Ansible, then this is the book for you. It has plenty of practical examples to help you get to grips with Ansible.
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Learning to do science experiments in school - by inquiry or by example?
DEFF Research Database (Denmark)
Albrechtsen, Thomas R. S.; Petersen, Morten Rask
2014-01-01
see a great importance in the amount of guidance they give their students we will discuss the controversy between Cognitive Load Theory and a social constructivist position and the differences and possible integration of the concept of worked examples on the one hand and the concept of scaffolding...
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Johnson, Katryna
2013-01-01
Employers today expect that students will be able to work in teams. Cooperative learning theory addresses how skills such as decision making, problem solving and communication can be learned by individuals in group settings. This paper discusses how cooperative learning can be used in an online and blended environment to increase active learning…
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m-Learning and holography: Compatible techniques?
Calvo, Maria L.
2014-07-01
Since the last decades, cell phones have become increasingly popular and are nowadays ubiquitous. New generations of cell phones are now equipped with text messaging, internet, and camera features. They are now making their way into the classroom. This is creating a new teaching and learning technique, the so called m-Learning (or mobile-Learning). Because of the many benefits that cell phones offer, teachers could easily use them as a teaching and learning tool. However, an additional work from the teachers for introducing their students into the m-Learning in the classroom needs to be defined and developed. As an example, optical techniques, based upon interference and diffraction phenomena, such as holography, appear to be convenient topics for m-Learning. They can be approached with simple examples and experiments within the cell phones performances and classroom accessibility. We will present some results carried out at the Faculty of Physical Sciences in UCM to obtain very simple holographic recordings via cell phones. The activities were carried out inside the course on Optical Coherence and Laser, offered to students in the fourth course of the Grade in Physical Sciences. Some open conclusions and proposals will be presented.
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A new learning paradigm: learning using privileged information.
Vapnik, Vladimir; Vashist, Akshay
2009-01-01
In the Afterword to the second edition of the book "Estimation of Dependences Based on Empirical Data" by V. Vapnik, an advanced learning paradigm called Learning Using Hidden Information (LUHI) was introduced. This Afterword also suggested an extension of the SVM method (the so called SVM(gamma)+ method) to implement algorithms which address the LUHI paradigm (Vapnik, 1982-2006, Sections 2.4.2 and 2.5.3 of the Afterword). See also (Vapnik, Vashist, & Pavlovitch, 2008, 2009) for further development of the algorithms. In contrast to the existing machine learning paradigm where a teacher does not play an important role, the advanced learning paradigm considers some elements of human teaching. In the new paradigm along with examples, a teacher can provide students with hidden information that exists in explanations, comments, comparisons, and so on. This paper discusses details of the new paradigm and corresponding algorithms, introduces some new algorithms, considers several specific forms of privileged information, demonstrates superiority of the new learning paradigm over the classical learning paradigm when solving practical problems, and discusses general questions related to the new ideas.
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Public participation in and learning through SEA in Kenya
Energy Technology Data Exchange (ETDEWEB)
Walker, Heidi, E-mail: heidi.mwalker@yahoo.ca [Natural Resources Institute, University of Manitoba, 303-70 Dysart Road, Winnipeg R3T 2M6 (Canada); Sinclair, A. John, E-mail: john.sinclair@ad.umanitoba.ca [Natural Resources Institute, University of Manitoba, 303-70 Dysart Road, Winnipeg R3T 2M6 (Canada); Spaling, Harry, E-mail: harry.spaling@kingsu.ca [Department of Geography and Environmental Studies, The King' s University College, 9125-50 Street, Edmonton, Alberta T6B 2H3 (Canada)
2014-02-15
Meaningful public engagement is a challenging, but promising, feature of strategic environmental assessment (SEA) due to its potential for integrating sustainability principles into policies, plans and programs in developing countries such as Kenya. This research examined two selected SEA case studies to identify the extent of participation, learning outcomes attributable to participation, and if any learning outcomes led to social action for sustainability at the community level. Strengths across the two cases were the inclusion of marginalized populations and consideration of socio-economic concerns. Consistent weaknesses included inadequate notice, document inaccessibility, lack of feedback and communication, and late analysis of alternatives. Despite some learning conditions being unfulfilled, examples of instrumental, communicative, and transformative learning were identified through a focus group and semi-structured interviews with community participants and public officials. Some of these learning outcomes led to individual and social actions that contribute to sustainability. -- Highlights: • The strengths and weaknesses of Kenyan SEA public participation processes were identified. • Multiple deficiencies in the SEA process likely frustrate meaningful public engagement. • Participant learning was observed despite process weaknesses. • Participant learning can lead to action for sustainability at the community level.
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Public participation in and learning through SEA in Kenya
International Nuclear Information System (INIS)
Walker, Heidi; Sinclair, A. John; Spaling, Harry
2014-01-01
Meaningful public engagement is a challenging, but promising, feature of strategic environmental assessment (SEA) due to its potential for integrating sustainability principles into policies, plans and programs in developing countries such as Kenya. This research examined two selected SEA case studies to identify the extent of participation, learning outcomes attributable to participation, and if any learning outcomes led to social action for sustainability at the community level. Strengths across the two cases were the inclusion of marginalized populations and consideration of socio-economic concerns. Consistent weaknesses included inadequate notice, document inaccessibility, lack of feedback and communication, and late analysis of alternatives. Despite some learning conditions being unfulfilled, examples of instrumental, communicative, and transformative learning were identified through a focus group and semi-structured interviews with community participants and public officials. Some of these learning outcomes led to individual and social actions that contribute to sustainability. -- Highlights: • The strengths and weaknesses of Kenyan SEA public participation processes were identified. • Multiple deficiencies in the SEA process likely frustrate meaningful public engagement. • Participant learning was observed despite process weaknesses. • Participant learning can lead to action for sustainability at the community level
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Directory of Open Access Journals (Sweden)
Gabriel ZAMFIR
2009-01-01
Full Text Available What You Understand Is What Your Cognitive Integrates. Scientific research develops, as a native environment, knowledge. This environment consists of two interdependent divisions: theory and technology. First division occurs as a recursive research, while the second one becomes an application of the research activity. Over time, theories integrate methodologies and technology extends as infrastructure. The engine of this environment is learning, as the human activity of knowledge work. The threshold term of this model is the concepts map; it is based on Bloom’ taxonomy for the cognitive domain and highlights the notion of software scaffolding which is grounded in Vygotsky’s Social Development Theory with its major theme, Zone of Proximal Development. This article is designed as a conceptual paper, which analyzes specific structures of this type of educational research: the model reflects a foundation for a theory and finally, the theory evolves as groundwork for a system. The outcomes of this kind of approach are the examples, which are, theoretically, learning outcomes, and practically exist as educational objects, so-called e-learning.
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Optimal quantum learning of a unitary transformation
International Nuclear Information System (INIS)
Bisio, Alessandro; Chiribella, Giulio; D'Ariano, Giacomo Mauro; Facchini, Stefano; Perinotti, Paolo
2010-01-01
We address the problem of learning an unknown unitary transformation from a finite number of examples. The problem consists in finding the learning machine that optimally emulates the examples, thus reproducing the unknown unitary with maximum fidelity. Learning a unitary is equivalent to storing it in the state of a quantum memory (the memory of the learning machine) and subsequently retrieving it. We prove that, whenever the unknown unitary is drawn from a group, the optimal strategy consists in a parallel call of the available uses followed by a 'measure-and-rotate' retrieving. Differing from the case of quantum cloning, where the incoherent 'measure-and-prepare' strategies are typically suboptimal, in the case of learning the 'measure-and-rotate' strategy is optimal even when the learning machine is asked to reproduce a single copy of the unknown unitary. We finally address the problem of the optimal inversion of an unknown unitary evolution, showing also in this case the optimality of the 'measure-and-rotate' strategies and applying our result to the optimal approximate realignment of reference frames for quantum communication.
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Bringing authentic service learning to the classroom: benefits and lessons learned
Chamberlain, Leslie C.
2016-06-01
Project-based learning, which has gained significant attention within K-12 education, provides rich hands-on experiences for students. Bringing an element of service to the projects allow students to engage in a local or global community, providing an abundance of benefits to the students’ learning. For example, service projects build confidence, increase motivation, and exercise problem-solving and communication skills in addition to developing a deep understanding of content. I will present lessons I have learned through four years of providing service learning opportunities in my classroom. I share ideas for astronomy projects, tips for connecting and listening to a community, and helpful guidelines to hold students accountable in order to ensure a productive and educational project.
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Can MOOCs meet your learning needs?
Bryson, David
2017-10-01
This paper looks at the role of Massive Open Online Courses (MOOCs) in fulfilling your learning needs; from looking at what MOOCs are through to examples of courses from different Universities and advice for completing a course. The sequence of activities takes you from looking at your learning needs, to finding a course, thinking about how to plan and prepare for learning using a MOOC then writing a review or reflecting on the impact of your learning.
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DEFF Research Database (Denmark)
Moesby, Egon
2005-01-01
In this article, the author is giving examples on an approach to include the personal competences in the initial phase of the planning process for a change towards project organized and problem-based learning ? POPBL. A model is presented on how to have trainees recognize the necessity to include...... professional competences as well as personal competences in a new POPBL based curriculum. The article continues by giving an example of a possible method to be used in the developing of a curriculum where the personal skills and abilities are an active and equally valued as the development of the students...
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38 TOWARDS A STUDENT-CENTRED LEARNING IN NIGERIAN ...
African Journals Online (AJOL)
Prof Alex C Asigbo
knowledge. These ideas were grounded in a theory of learning that ... For example, research suggests that learners ... as creative dramatics class, interactive method of teaching, ...... International Journal of Historical Learning, Thinking, and.
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Creativity in Machine Learning
Thoma, Martin
2016-01-01
Recent machine learning techniques can be modified to produce creative results. Those results did not exist before; it is not a trivial combination of the data which was fed into the machine learning system. The obtained results come in multiple forms: As images, as text and as audio. This paper gives a high level overview of how they are created and gives some examples. It is meant to be a summary of the current work and give people who are new to machine learning some starting points.
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Using Epistemic Network Analysis to understand core topics as planned learning objectives
DEFF Research Database (Denmark)
Allsopp, Benjamin Brink; Dreyøe, Jonas; Misfeldt, Morten
Epistemic Network Analysis is a tool developed by the epistemic games group at the University of Wisconsin Madison for tracking the relations between concepts in students discourse (Shaffer 2017). In our current work we are applying this tool to learning objectives in teachers digital preparation....... The danish mathematics curriculum is organised in six competencies and three topics. In the recently implemented learning platforms teacher choose which of the mathematical competencies that serves as objective for a specific lesson or teaching sequence. Hence learning objectives for lessons and teaching...... sequences are defining a network of competencies, where two competencies are closely related of they often are part of the same learning objective or teaching sequence. We are currently using Epistemic Network Analysis to study these networks. In the poster we will include examples of different networks...
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Learning-parameter adjustment in neural networks
Heskes, Tom M.; Kappen, Bert
1992-06-01
We present a learning-parameter adjustment algorithm, valid for a large class of learning rules in neural-network literature. The algorithm follows directly from a consideration of the statistics of the weights in the network. The characteristic behavior of the algorithm is calculated, both in a fixed and a changing environment. A simple example, Widrow-Hoff learning for statistical classification, serves as an illustration.
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The Theory about didactical situations used to analyze practice related teaching and learning
DEFF Research Database (Denmark)
Aarkrog, Vibe
2018-01-01
Based on research showing that the students’ challenges in practice based learning can be located to the transitions between theory and practice, this study focuses on how teachers support the students in these transitions. The theoretical framework is mainly Brousseau’s ‘Theory about didactical...... the results show that the Theory of didactical situations can be a useful framework accomplishing practice related teaching and learning. In the discussion a number of challenges in relation to practice related teaching is highlighted focusing on the relation between the five situations in the theory...... situations’ that defines five situations of practice related teaching. The data includes observations combined with interviews of teachers in relation to various examples of practice related teaching in the social and health care programs. Based on the analysis of three examples of practice related teaching...
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Video2vec Embeddings Recognize Events when Examples are Scarce
Habibian, A.; Mensink, T.; Snoek, C.G.M.
2017-01-01
This paper aims for event recognition when video examples are scarce or even completely absent. The key in such a challenging setting is a semantic video representation. Rather than building the representation from individual attribute detectors and their annotations, we propose to learn the entire representation from freely available web videos and their descriptions using an embedding between video features and term vectors. In our proposed embedding, which we call Video2vec, the correlatio...
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Ondrusek, Anita L.; Thiele, Harold E.; Yang, Changwoo
2014-01-01
The authors examined abstracts written by graduate students for their research proposals as a requirement for a course in research methods in a distance learning MLIS program. The students learned under three instructional conditions that involved varying levels of access to worked examples created from abstracts representing research in the LIS…
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Machine Learning Methods for Analysis of Metabolic Data and Metabolic Pathway Modeling.
Cuperlovic-Culf, Miroslava
2018-01-11
Machine learning uses experimental data to optimize clustering or classification of samples or features, or to develop, augment or verify models that can be used to predict behavior or properties of systems. It is expected that machine learning will help provide actionable knowledge from a variety of big data including metabolomics data, as well as results of metabolism models. A variety of machine learning methods has been applied in bioinformatics and metabolism analyses including self-organizing maps, support vector machines, the kernel machine, Bayesian networks or fuzzy logic. To a lesser extent, machine learning has also been utilized to take advantage of the increasing availability of genomics and metabolomics data for the optimization of metabolic network models and their analysis. In this context, machine learning has aided the development of metabolic networks, the calculation of parameters for stoichiometric and kinetic models, as well as the analysis of major features in the model for the optimal application of bioreactors. Examples of this very interesting, albeit highly complex, application of machine learning for metabolism modeling will be the primary focus of this review presenting several different types of applications for model optimization, parameter determination or system analysis using models, as well as the utilization of several different types of machine learning technologies.
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Machine Learning Methods for Analysis of Metabolic Data and Metabolic Pathway Modeling
Cuperlovic-Culf, Miroslava
2018-01-01
Machine learning uses experimental data to optimize clustering or classification of samples or features, or to develop, augment or verify models that can be used to predict behavior or properties of systems. It is expected that machine learning will help provide actionable knowledge from a variety of big data including metabolomics data, as well as results of metabolism models. A variety of machine learning methods has been applied in bioinformatics and metabolism analyses including self-organizing maps, support vector machines, the kernel machine, Bayesian networks or fuzzy logic. To a lesser extent, machine learning has also been utilized to take advantage of the increasing availability of genomics and metabolomics data for the optimization of metabolic network models and their analysis. In this context, machine learning has aided the development of metabolic networks, the calculation of parameters for stoichiometric and kinetic models, as well as the analysis of major features in the model for the optimal application of bioreactors. Examples of this very interesting, albeit highly complex, application of machine learning for metabolism modeling will be the primary focus of this review presenting several different types of applications for model optimization, parameter determination or system analysis using models, as well as the utilization of several different types of machine learning technologies. PMID:29324649
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GeoMapApp Learning Activities: Enabling the democratisation of geoscience learning
Goodwillie, A. M.; Kluge, S.
2011-12-01
GeoMapApp Learning Activities (http://serc.carleton.edu/geomapapp) are step-by-step guided inquiry geoscience education activities that enable students to dictate the pace of learning. They can be used in the classroom or out of class, and their guided nature means that the requirement for teacher intervention is minimised which allows students to spend increased time analysing and understanding a broad range of geoscience data, content and concepts. Based upon GeoMapApp (http://www.geomapapp.org), a free, easy-to-use map-based data exploration and visualisation tool, each activity furnishes the educator with an efficient package of downloadable documents. This includes step-by-step student instructions and answer sheet; a teacher's edition annotated worksheet containing teaching tips, additional content and suggestions for further work; quizzes for use before and after the activity to assess learning; and a multimedia tutorial. The activities can be used by anyone at any time in any place with an internet connection. In essence, GeoMapApp Learning Activities provide students with cutting-edge technology, research-quality geoscience data sets, and inquiry-based learning in a virtual lab-like environment. Examples of activities so far created are student calculation and analysis of the rate of seafloor spreading, and present-day evidence on the seafloor for huge ancient landslides around the Hawaiian islands. The activities are designed primarily for students at the community college, high school and introductory undergraduate levels, exposing students to content and concepts typically found in those settings.
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Music, social learning and senses in university pedagogy
DEFF Research Database (Denmark)
Jensen, Julie Borup
2017-01-01
Integration of music in an academic university teaching setting is an example of how artistic practice and competences have potentials to resonate beyond the immediate discipline. The article explores music activities as contributing to learning environments for university students, creating shared...... experiences in groups of diverse learners with different needs. The music activities are discussed in light of challenges in today's university concerning student diversity. Two empirical examples of experiments with music in university teaching at a Danish university are presented. Empirical data were...... collected by means of qualitative research methods (teaching logs and qualitative surveys) and analysed in a socio-cultural learning perspective. The first empirical example presents music as supporting students relate to each other in the classroom. The second example describes how music may support...
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Electronic Learning in the German Science Project "NAWI-Interaktiv"
Wegner, Claas; Homann, Wiebke; Strehlke, Friederike
2014-01-01
The German science project "NAWI-Interaktiv" is an example of innovative use of E-Learning and new media education. Since 2009, the learning platform provides learners and teachers with high-quality learning tools, teaching material, useful information and E-learning programs for free. This is to raise the pupils' motivation to learn…
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Spatial Learning: Conditions and Basic Effects
Directory of Open Access Journals (Sweden)
Victoria D. Chamizo
2002-01-01
Full Text Available A growing body of evidence suggests that the spatial and the temporal domains seem to share the same or similar conditions, basic effects, and mechanisms. The blocking, unblocking and overshadowing experiments (and also those of latent inhibition and perceptual learning reviewed by Prados and Redhead in this issue show that to exclude associative learning as a basic mechanism responsible for spatial learning is quite inappropriate. All these results, especially those obtained with strictly spatial tasks, seem inconsistent with OKeefe and Nadels account of true spatial learning or locale learning. Their theory claims that this kind of learning is fundamentally different and develops with total independence from other ways of learning (like classical and instrumental conditioning -taxon learning. In fact, the results reviewed can be explained appealing on to a sophisticated guidance system, like for example the one proposed by Leonard and McNaughton (1990; see also McNaughton and cols, 1996. Such a system would allow that an animal generates new space information: given the distance and address from of A to B and from A to C, being able to infer the distance and the address from B to C, even when C is invisible from B (see Chapuis and Varlet, 1987 -the contribution by McLaren in this issue constitutes a good example of a sophisticated guidance system.
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Scheiter, Katharina; Schubert, Carina; Schüler, Anne
2018-01-01
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…
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Colwell, Kenneth A.; Torrione, Peter A.; Morton, Kenneth D.; Collins, Leslie M.
2015-05-01
Ground-penetrating radar (GPR) technology has proven capable of detecting buried threats. The system relies on a binary classifier that is trained to distinguish between two classes: a target class, encompassing many types of buried threats and their components; and a nontarget class, which includes false alarms from the system prescreener. Typically, the training process involves a simple partition of the data into these two classes, which allows for straightforward application of standard classifiers. However, since training data is generally collected in fully controlled environments, it includes auxiliary information about each example, such as the specific type of threat, its purpose, its components, and its depth. Examples from the same specific or general type may be expected to exhibit similarities in their GPR data, whereas examples from different types may differ greatly. This research aims to leverage this additional information to improve overall classification performance by fusing classifier concepts for multiple groups, and to investigate whether structure in this information can be further utilized for transfer learning, such that the amount of expensive training data necessary to learn a new, previously-unseen target type may be reduced. Methods for accomplishing these goals are presented with results from a dataset containing a variety of target types.
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Experimental Learning in Nursing Literature Education
Directory of Open Access Journals (Sweden)
Eskandar Fathiazar
2015-08-01
Full Text Available Experimental learning is a type of discovery learning. This method of learning appears to be suitable for nursing education, but there is not enough evidence about it. As a result, in this non-systematic review article, after explaining experimental learning, its application in nursing will be presented based on literature review and with functional examples. According to the results, in this kind of learning, students practice with experimental cases and learn by failure in. Participants should have the main role and teachers act as mentors or learning facilitators. According to the literature, it seems useful to use this new method in nursing education.
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Creating Dynamic Learning Environment to Enhance Students’ Engagement in Learning Geometry
Sariyasa
2017-04-01
Learning geometry gives many benefits to students. It strengthens the development of deductive thinking and reasoning; it also provides an opportunity to improve visualisation and spatial ability. Some studies, however, have pointed out the difficulties that students encountered when learning geometry. A preliminary study by the author in Bali revealed that one of the main problems was teachers’ difficulties in delivering geometry instruction. It was partly due to the lack of appropriate instructional media. Coupling with dynamic geometry software, dynamic learning environments is a promising solution to this problem. Employing GeoGebra software supported by the well-designed instructional process may result in more meaningful learning, and consequently, students are motivated to engage in the learning process more deeply and actively. In this paper, we provide some examples of GeoGebra-aided learning activities that allow students to interactively explore and investigate geometry concepts and the properties of geometry objects. Thus, it is expected that such learning environment will enhance students’ internalisation process of geometry concepts.
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Problem-based learning in communication systems using MATLAB and Simulink
Choi, Kwonhue
2016-01-01
Designed to help teach and understand communication systems using a classroom-tested, active learning approach. This book covers the basic concepts of signals, and analog and digital communications, to more complex simulations in communication systems. Problem-Based Learning in Communication Systems Using MATLAB and Simulink begins by introducing MATLAB and Simulink to prepare readers who are unfamiliar with these environments in order to tackle projects and exercises included in this book. Discussions on simulation of signals, filter design, sampling and reconstruction, and analog communications are covered next. The book concludes by covering advanced topics such as Viterbi decoding, OFDM and MIMO. In addition, this book contains examples of how to convert waveforms, constructed in simulation, into electric signals. It also includes problems illustrating how to complete actual wireless communications in the band near ultrasonic frequencies. A content-m pping table is included in this book to help instruc...
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Measuring strategic control in implicit learning: how and why?
Norman, Elisabeth
2015-01-01
Several methods have been developed for measuring the extent to which implicitly learned knowledge can be applied in a strategic, flexible manner. Examples include generation exclusion tasks in Serial Reaction Time (SRT) learning (Goschke, 1998; Destrebecqz and Cleeremans, 2001) and 2-grammar classification tasks in Artificial Grammar Learning (AGL; Dienes et al., 1995; Norman et al., 2011). Strategic control has traditionally been used as a criterion for determining whether acquired knowledge is conscious or unconscious, or which properties of knowledge are consciously available. In this paper I first summarize existing methods that have been developed for measuring strategic control in the SRT and AGL tasks. I then address some methodological and theoretical questions. Methodological questions concern choice of task, whether the measurement reflects inhibitory control or task switching, and whether or not strategic control should be measured on a trial-by-trial basis. Theoretical questions concern the rationale for including measurement of strategic control, what form of knowledge is strategically controlled, and how strategic control can be combined with subjective awareness measures.
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Geske, Eli
2013-01-01
A fast-paced, example-based guide to learning DHTMLX.""Learning DHTMLX Suite UI"" is for web designers who have a basic knowledge of JavaScript and who are looking for powerful tools that will give them an extra edge in their own application development. This book is also useful for experienced developers who wish to get started with DHTMLX without going through the trouble of learning its quirks through trial and error. Readers are expected to have some knowledge of JavaScript, HTML, Document Object Model, and the ability to install a local web server.
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Children Learn Spurious Associations in Their Math Textbooks: Examples from Fraction Arithmetic
Braithwaite, David W.; Siegler, Robert S.
2018-01-01
Fraction arithmetic is among the most important and difficult topics children encounter in elementary and middle school mathematics. Braithwaite, Pyke, and Siegler (2017) hypothesized that difficulties learning fraction arithmetic often reflect reliance on associative knowledge--rather than understanding of mathematical concepts and procedures--to…
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Institute of Scientific and Technical Information of China (English)
Rona L Levy; Shelby L Langer; William E Whitehead
2007-01-01
This paper reviews empirical work on cognitive and social learning contributions to the etiology and treatment of illness behavior associated with functional abdominal pain and inflammatory bowel disease. A particular emphasis is placed on randomized controlled trials,the majority of which are multi-modal in orientation,incorporating elements of cognitive behavioral therapy,social learning, and relaxation. Based on this review,we offer methodological and clinical suggestions: (1)Research investigations should include adequate sample sizes, long-term follow-up assessments, and a credible,active control group. (2) Standard gastrointestinal practice should include, when appropriate, learning opportunities for patients and family members, for example, instruction regarding the encouragement of wellness behavior.
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Neutrosophic Examples in Physics
Directory of Open Access Journals (Sweden)
Fu Yuhua
2013-03-01
Full Text Available Neutrosophy can be widely applied in physics and the like. For example, one of the reasons for 2011 Nobel Prize for physics is "for the discovery of the accelerating expansion of the universe through observations of distant supernovae", but according to neutrosophy, there exist seven or nine states of accelerating expansion and contraction and the neutrosophic state in the universe. Another two examples are "a revision to Gödel's incompleteness theorem by neutrosophy" and "six neutral (neutrosophic fundamental interactions". In addition, the "partial and temporary unified theory so far" is discussed (including "partial and temporary unified electromagnetic theory so far", "partial and temporary unified gravitational theory so far", "partial and temporary unified theory of four fundamental interactions so far", and "partial and temporary unified theory of natural science so far".
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DEFF Research Database (Denmark)
Hasse, Cathrine
2002-01-01
The article argues that cultural learning is a useful concept in analysing how neophytes learn from reactions and other forms of social designation. Through the newcomers learning process a concrete physical place takes on new cultural meaning. The specific example deals with first year students...... who have to learn that certain physical places, acts and objects are imbued with a cultural significance as the act of sitting on a chair or wearing a short dress takes on a new symbolic meaning in a cultural context where inclusion and exclusion are a constant concern. By following and analysing what...... is involved in the process of becoming ? in this case the becoming of physicist students ? the moral cultural logic behind in- and exclusion from physical places are established....
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Learning with peers, active citizenship and student engagement in Enabling Education
Directory of Open Access Journals (Sweden)
Nick Zepke
2018-02-01
Full Text Available This paper examines one specific question: What support do students in Enabling Education need to learn the behaviours, knowledge and attitudes required to succeed in tertiary education, employment and life? Success appears in many guises. It can mean achieving officially desired outcomes such as retention, completion and employment. It can also mean achieving less measurable outcomes such as deep learning, wellbeing and active citizenship. The paper first introduces an overarching success framework before exploring how the widely used student engagement pedagogy can support learners to achieve both official and personal success outcomes. It then develops two specific constructs applicable to Enabling Education as found in student engagement: facilitated peer learning and active citizenship. Peer learning is here connected to tutor supported but peer facilitated mentoring; active citizenship to educational experiences in classrooms, institutions and workplaces that support flexibility, resilience, openness to change and diversity. The paper includes examples of how facilitated peer learning and active citizenship can build success in practice.
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Neuwirth, Sharyn
This booklet uses hypothetical case examples to illustrate the definition, causal theories, and specific types of learning disabilities (LD). The cognitive and language performance of students with LD is compared to standard developmental milestones, and common approaches to the identification and education of children with LD are outlined.…
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Query-by-example surgical activity detection.
Gao, Yixin; Vedula, S Swaroop; Lee, Gyusung I; Lee, Mija R; Khudanpur, Sanjeev; Hager, Gregory D
2016-06-01
Easy acquisition of surgical data opens many opportunities to automate skill evaluation and teaching. Current technology to search tool motion data for surgical activity segments of interest is limited by the need for manual pre-processing, which can be prohibitive at scale. We developed a content-based information retrieval method, query-by-example (QBE), to automatically detect activity segments within surgical data recordings of long duration that match a query. The example segment of interest (query) and the surgical data recording (target trial) are time series of kinematics. Our approach includes an unsupervised feature learning module using a stacked denoising autoencoder (SDAE), two scoring modules based on asymmetric subsequence dynamic time warping (AS-DTW) and template matching, respectively, and a detection module. A distance matrix of the query against the trial is computed using the SDAE features, followed by AS-DTW combined with template scoring, to generate a ranked list of candidate subsequences (substrings). To evaluate the quality of the ranked list against the ground-truth, thresholding conventional DTW distances and bipartite matching are applied. We computed the recall, precision, F1-score, and a Jaccard index-based score on three experimental setups. We evaluated our QBE method using a suture throw maneuver as the query, on two tool motion datasets (JIGSAWS and MISTIC-SL) captured in a training laboratory. We observed a recall of 93, 90 and 87 % and a precision of 93, 91, and 88 % with same surgeon same trial (SSST), same surgeon different trial (SSDT) and different surgeon (DS) experiment setups on JIGSAWS, and a recall of 87, 81 and 75 % and a precision of 72, 61, and 53 % with SSST, SSDT and DS experiment setups on MISTIC-SL, respectively. We developed a novel, content-based information retrieval method to automatically detect multiple instances of an activity within long surgical recordings. Our method demonstrated adequate recall
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Aspect-based Relevance Learning for Image Retrieval
M.J. Huiskes (Mark)
2005-01-01
htmlabstractWe analyze the special structure of the relevance feedback learning problem, focusing particularly on the effects of image selection by partial relevance on the clustering behavior of feedback examples. We propose a scheme, aspect-based relevance learning, which guarantees that feedback
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Strategies for Assessing Learning Outcomes in an Online Oceanography Course
Reed, D. L.
2003-12-01
All general education courses at the San Jose State University, including those in the sciences, must present a detailed assessment plan of student learning, prior to certification for offering. The assessment plan must state a clear methodology for acquiring data on student achievement of the learning outcomes for the specific course category, as well as demonstrate how students fulfill a strong writing requirement. For example, an online course in oceanography falls into the Area R category, the Earth and Environment, through which a student should be able to demonstrate an understanding of the methods and limits of scientific investigation; distinguish science from pseudo-science; and apply a scientific approach to answer questions about the Earth and environment. The desired learning outcomes are shared with students at the beginning of the course and subsequent assessments on achieving each outcome are embedded in the graded assignments, which include a critical thinking essay, mid-term exam, poster presentation in a symposium-style format, portfolio of web-based work, weekly discussions on an electronic bulletin board, and a take-home final exam, consisting of an original research grant proposal. The diverse nature of the graded assignments assures a comprehensive assessment of student learning from a variety of perspectives, such as quantitative, qualitative, and analytical. Formative assessment is also leveraged into learning opportunities, which students use to identify the acquisition of knowledge. For example, pre-tests are used to highlight preconceptions at the beginning of specific field studies and post-testing encourages students to present the results of small research projects. On a broader scale, the assessment results contradict common misperceptions of online and hybrid courses. Student demand for online courses is very high due to the self-paced nature of learning. Rates of enrollment attrition match those of classroom sections, if students
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Blended Learning in Action: A Practical Guide toward Sustainable Change
Tucker, Catlin R.; Wycoff, Tiffany; Green, Jason T.
2017-01-01
Blended learning has the power to reinvent education, but transitioning to a blended model is challenging. Blended learning requires a fundamentally new approach to learning as well as a new skillset for both teachers and school leaders. Loaded with research, examples, and resources, "Blended Learning in Action" demonstrates the…
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Creating Problem-Based Leadership Learning across the Curriculum
Thompson, Sara E.; Couto, Richard A.
2016-01-01
This chapter explores problem-based learning (PBL) as effective pedagogy to enhance leadership learning. Through institutional examples, research, and personal experiences, the authors provide a rationale for faculty and staff to utilize PBL across the curriculum.
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Learning Styles and Organisational Development in Practice
DEFF Research Database (Denmark)
Brix, Jacob; Lauridsen, Karen M.
2012-01-01
Issues of innovation and knowledge management are often treated from an organisational learning perspective. As a complement to this, there is a vast potential in the strategic enhancement of individual learning by implementing learning styles profiles and creating personal learning strategies...... for management and employees in a knowledge based organisation. Based on an action-research case study, we offer an example of how learning styles affects individual learning and thus personal knowledge creation in practice. The paper argues that innovation and knowledge management is enhanced and facilitated...... in practice by working with the learning styles of individuals and groups/teams....
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The "Tse Tsa Watle" Speaker Series: An Example of Ensemble Leadership and Generative Adult Learning
McKendry, Virginia
2017-01-01
This chapter examines an Indigenous speaker series formed to foster intercultural partnerships at a Canadian university. Using ensemble leadership and generative learning theories to make sense of the project, the author argues that ensemble leadership is key to designing the generative learning adult learners need in an era of ambiguity.
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The Semiotics of Learning New Words
Nöth, Winfried
2014-01-01
In several of his papers, Charles S. Peirce illustrates processes of interpreting and understanding signs by examples from second language vocabulary teaching and learning. The insights conveyed by means of these little pedagogical scenarios are not meant as contributions to the psychology of second language learning, but they aim at elucidating…
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Learner Ownership of Technology-Enhanced Learning
Dommett, Eleanor J.
2018-01-01
Purpose: This paper aims to examine the different ways in which learners may have ownership over technology-enhanced learning by reflecting on technical, legal and psychological ownership. Design/methodology/approach: The paper uses a variety of examples of technology-enhanced learning ranging from open-source software to cloud storage to discuss…
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Urban Myths about Learning and Education
De Bruyckere, Pedro; Kirschner, Paul A.; Hulshof, Casper
2016-01-01
In this book, the most common popular myths relating to learning and education are discussed with respect to whether there is any truth in the myth and what good educational and psychological research has to say about them. Examples of such myths range from: learning styles to neuromyths such as
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Protecting Privacy in Shared Photos via Adversarial Examples Based Stealth
Liu, Yujia; Zhang, Weiming; Yu, Nenghai
2017-01-01
Online image sharing in social platforms can lead to undesired privacy disclosure. For example, some enterprises may detect these large volumes of uploaded images to do users’ in-depth preference analysis for commercial purposes. And their technology might be today’s most powerful learning model, deep neural network (DNN). To just elude these automatic DNN detectors without affecting visual quality of human eyes, we design and implement a novel Stealth algorithm, which makes the automatic det...
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Automatic Earthquake Detection by Active Learning
Bergen, K.; Beroza, G. C.
2017-12-01
In recent years, advances in machine learning have transformed fields such as image recognition, natural language processing and recommender systems. Many of these performance gains have relied on the availability of large, labeled data sets to train high-accuracy models; labeled data sets are those for which each sample includes a target class label, such as waveforms tagged as either earthquakes or noise. Earthquake seismologists are increasingly leveraging machine learning and data mining techniques to detect and analyze weak earthquake signals in large seismic data sets. One of the challenges in applying machine learning to seismic data sets is the limited labeled data problem; learning algorithms need to be given examples of earthquake waveforms, but the number of known events, taken from earthquake catalogs, may be insufficient to build an accurate detector. Furthermore, earthquake catalogs are known to be incomplete, resulting in training data that may be biased towards larger events and contain inaccurate labels. This challenge is compounded by the class imbalance problem; the events of interest, earthquakes, are infrequent relative to noise in continuous data sets, and many learning algorithms perform poorly on rare classes. In this work, we investigate the use of active learning for automatic earthquake detection. Active learning is a type of semi-supervised machine learning that uses a human-in-the-loop approach to strategically supplement a small initial training set. The learning algorithm incorporates domain expertise through interaction between a human expert and the algorithm, with the algorithm actively posing queries to the user to improve detection performance. We demonstrate the potential of active machine learning to improve earthquake detection performance with limited available training data.
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Dialogic learning and interactive groups: an IMS LD template integrated in runtime systems
Directory of Open Access Journals (Sweden)
Mar Pérez-SanagustÃÂn
2008-07-01
Full Text Available Dialogic learning and interactive groups have proved to be a useful educational methodological approach in lifelong learning with adults. The principles of this approach stress the importance of dialogue and equal participation in every stage of the learning process – including the design of the training activities. This paper adopts these principles as the basis for a configurable template that can be integrated in runtime systems. The template is formulated as a meta-UoL which can be interpreted by IMS Learning Design players. This template serves as a guide to flexibly select and edit the activities at runtime (on the fly. The meta-UoL has been used successfully by two significant practitioners so as to create a real-life example, with positive and encouraging results.
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Assessment for Learning in Norway and Portugal: The Case of Primary School Mathematics Teaching
Nortvedt, Guri A.; Santos, Leonor; Pinto, Jorge
2016-01-01
In this study, we aim to understand the forces driving assessment for learning (AfL) in primary school teaching. By applying a case study design, including the two cases of Norway and Portugal and using mathematics teaching as an example, available policy documents and research reports are analysed to identify the differences and similarities that…
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Constraints on reusability of learning objects
DEFF Research Database (Denmark)
May, Michael; Hussmann, Peter Munkebo; Jensen, Anne Skov
2010-01-01
It is the aim of this paper to discuss some didactic constraints on the use and reuse of digital modular learning objects. Engineering education is used as the specific context of use with examples from courses in introductory electronics and mathematics. Digital multimedia and modular learning....... Constraints on reuse arise from the nature of conceptual understanding in higher education and the functionality of learning objects within present technologies. We will need didactic as well as technical perspectives on learning objects in designing for understanding....
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Bandyopadhyay, Sanghamitra; Mitra, Ramkrishna
2009-10-15
Prediction of microRNA (miRNA) target mRNAs using machine learning approaches is an important area of research. However, most of the methods suffer from either high false positive or false negative rates. One reason for this is the marked deficiency of negative examples or miRNA non-target pairs. Systematic identification of non-target mRNAs is still not addressed properly, and therefore, current machine learning approaches are compelled to rely on artificially generated negative examples for training. In this article, we have identified approximately 300 tissue-specific negative examples using a novel approach that involves expression profiling of both miRNAs and mRNAs, miRNA-mRNA structural interactions and seed-site conservation. The newly generated negative examples are validated with pSILAC dataset, which elucidate the fact that the identified non-targets are indeed non-targets.These high-throughput tissue-specific negative examples and a set of experimentally verified positive examples are then used to build a system called TargetMiner, a support vector machine (SVM)-based classifier. In addition to assessing the prediction accuracy on cross-validation experiments, TargetMiner has been validated with a completely independent experimental test dataset. Our method outperforms 10 existing target prediction algorithms and provides a good balance between sensitivity and specificity that is not reflected in the existing methods. We achieve a significantly higher sensitivity and specificity of 69% and 67.8% based on a pool of 90 feature set and 76.5% and 66.1% using a set of 30 selected feature set on the completely independent test dataset. In order to establish the effectiveness of the systematically generated negative examples, the SVM is trained using a different set of negative data generated using the method in Yousef et al. A significantly higher false positive rate (70.6%) is observed when tested on the independent set, while all other factors are kept the
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Establishment of a Learning Management System
International Nuclear Information System (INIS)
Han, K. W.; Kim, Y. T.; Lee, E. J.; Min, B. J.
2006-01-01
A web-based learning management system (LMS) has been established to address the need of customized education and training of Nuclear Training Center (NTC) of KAERI. The LMS is designed to deal with various learning types (e.g. on-line, off-line and blended) and a practically comprehensive learning activity cycle (e.g. course preparation, registration, learning, and postlearning) as well as to be user-friendly. A test with an example course scenario on the established system has shown its satisfactory performance. This paper discusses details of the established webbased learning management system in terms of development approach and functions of the LMS
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DEFF Research Database (Denmark)
2016-01-01
An example of how to use the magni.reproducibility package for storing metadata along with results from a computational experiment. The example is based on simulating the Mandelbrot set.......An example of how to use the magni.reproducibility package for storing metadata along with results from a computational experiment. The example is based on simulating the Mandelbrot set....
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Understanding "Green Chemistry" and "Sustainability": An Example of Problem-Based Learning (PBL)
Günter, Tugçe; Akkuzu, Nalan; Alpat, Senol
2017-01-01
Background: This study uses problem-based learning (PBL) to ensure that students comprehend the significance of green chemistry better by experiencing the stages of identifying the problem, developing hypotheses, and providing solutions within the problem-solving process. Purpose: The aim of this study is to research the effect of PBL implemented…
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Some examples of geomorphodiversity in Italy
Panizza, Mario
2014-05-01
The concept of geomorphodiversity (Panizza, 2009) is presented: "the critical and specific assessment of the geomorphological features of a territory, by comparing them in a way both extrinsic (comparison of the geomorphological characteristics with those from other territories) and intrinsic (comparison of the geomorphological characteristics with other areas within the territory itself) and taking into account the level of their scientific quality, the scale of investigation and the purpose of the research". A first example concerns the Dolomites: they have been included in the UNESCO World Heritage List because of their exceptional beauty and unique landscape, together with their scientific importance from the geological and geomorphological point of view. They are of international significance for geomorphodiversity, as the classic site for the development of mountains in dolomite limestone and present a wide range of landforms related to erosion, tectonics and glaciation. They represent a kind of high altitude, open air laboratory of geomorphological heritage of exceptional global value, among the most extraordinary and accessible in the world and ideal for researching, teaching, understanding and developing Earth Science theories. The second example concerns the Emilia-Romagna Apennines, candidate for enrolment in the List of European Geoparks: they show a multifaceted and complex image from the international and regional geomorphological (extrinsic and intrinsic geomorphodiversity) point of view and are an educational example for illustrating morphotectonic evolution, stratigraphic and sedimentological sequences and morpholithological peculiarities connected with gypsum karst and clay mass wasting phenomena. The third example concerns the Vesuvius, one of the National Italian Parks: it shows an extrinsic geomorphodiversity mainly referred to the type of eruptions, with some exemplary processes inserted in international volcanic nomenclature; it makes up an
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Introduction to Wireless Localization With iPhone SDK Examples
Chan, Eddie C L
2012-01-01
This book provides a comprehensive overview of the entire landscape of both outdoor and indoor wireless positioning, and guides the reader step by step in the implementation of wireless positioning applications on the iPhone. Explanations of fundamental positioning techniques are given throughout the text, along with many programming examples, providing the reader with an independent, practical, and enjoyable learning of the material while gaining a real feel for the subject. Provides an accessible introduction to positioning technologies such as Global Positioning System and Wi-Fi posi
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An introduction to quantum machine learning
Schuld, M.; Sinayskiy, I.; Petruccione, F.
2014-01-01
Machine learning algorithms learn a desired input-output relation from examples in order to interpret new inputs. This is important for tasks such as image and speech recognition or strategy optimisation, with growing applications in the IT industry. In the last couple of years, researchers investigated if quantum computing can help to improve classical machine learning algorithms. Ideas range from running computationally costly algorithms or their subroutines efficiently on a quantum compute...
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Public libraries and lifelong learning
DEFF Research Database (Denmark)
Nielsen, Bo Gerner; Borlund, Pia
2015-01-01
society as a result of easy and free access to information. A basic understanding of the concept is ‘learning throughout life, either continuously or periodically’. This implies that learning is not restricted to educational institutions, but can also take place in for example the public library. Public...... libraries thus may play an important role in supporting the learning process not the least because lifelong learning is characterised by the inclusion of informal elements of learning, flexible learning opportunities, and a shift towards selfdirected learning. This self-directed learning promotes active...... at teaching? The study reports on data from 12 interviews of purposely selected public librarians and a large-scale e-mail survey (questionnaire). The e-mail survey contained 28 questions and was sent to all staff members in public libraries in Denmark, and resulted in 986 responses. The results show...
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Straus, Jane; Stern, Tom
2014-01-01
A revised and updated new edition of the bestselling workbook and grammar guide The Blue Book of Grammar and Punctuation is a concise, entertaining workbook and guide to English grammar, punctuation, and usage. This user-friendly resource includes simple explanations of grammar, punctuation, and usage; scores of helpful examples; dozens of reproducible worksheets; and pre- and post-tests to help teach grammar to students of all ages. Appropriate for virtually any age range, this authoritative guide makes learning English grammar and usage simple and fun. This updated Eleventh Edition reflects
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Evidence from machines that learn and think like people.
Forbus, Kenneth D; Gentner, Dedre
2017-01-01
We agree with Lake et al.'s trenchant analysis of deep learning systems, including that they are highly brittle and that they need vastly more examples than do people. We also agree that human cognition relies heavily on structured relational representations. However, we differ in our analysis of human cognitive processing. We argue that (1) analogical comparison processes are central to human cognition; and (2) intuitive physical knowledge is captured by qualitative representations, rather than quantitative simulations.
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The Learning Styles and Language Learning Strategies of the EFL Students at Tertiary Level
Directory of Open Access Journals (Sweden)
Diemroh Ihsan
2016-02-01
Full Text Available The purpose of this study are to discover the learning styles, and the language learning strategies most preferred, correlation among the variables exists, and the degree of influence each independent variable exerts on the dependent variables. For data collection, the Barsch Learning Styles Inventory and the Strategy Inventory of Language Learning were distributed to 156 students of English at the University of Sriwijaya, Palembang. The results showed that: (1 visual is the most preferred learning style, whereas metacognitive ang effective are the most preferred language learning strategies; (2 certain independent variables have a significant correlation with certain dependent variables, for example, visual with memory, auditory with cognitive, tactile with affective, and semester with compensation; (3 females use a greater variety of language learning strategies than males; and (4 semester has a significant correlation with compensation but not with other strategies
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Active Learning Strategies in Face-to-Face Courses. IDEA Paper #53
Millis, Barbara J.
2012-01-01
As numerous research studies suggest, teachers who desire increased student learning should adopt active learning. This article explores the research, defines active learning, discusses its value, offers suggestions for implementing it, and provides six concrete examples of active learning approaches: Thinking-Aloud Pair Problem-Solving;…
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Professional Learning in Part-time University Study
DEFF Research Database (Denmark)
Rasmussen, Palle
2007-01-01
The theme of this article is adult students' learning in part-time studies at university level in Denmark. One issue discussed is the interplay of research and teaching in this kind of study programme. Examples are presented from the Master of Learning Processes study programme at Aalborg...
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Transforming Children's Health Spaces into Learning Places
Nisselle, Amy; Green, Julie; Scrimshaw, Chantel
2011-01-01
Purpose: Chronic health conditions can cause children extended school absences, creating significant barriers for continued education. Out-of-school learning environments, such as hospitals, provide opportunities to maintain children's learning identities during school absences. This paper seeks to present an example of hospital-based teaching and…
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Transform Modern Language Learning through Mobile Devices
Tuttle, Harry Grover
2013-01-01
College professors can transform their modern language classes through mobile devices. Their students' learning becomes more active, more personalized, more contextual, and more culturally authentic as illustrated through the author's modern language mobile learning classroom examples. In addition, their students engage in many diverse types of…
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Learning Layouts for Single-Page Graphic Designs.
O'Donovan, Peter; Agarwala, Aseem; Hertzmann, Aaron
2014-08-01
This paper presents an approach for automatically creating graphic design layouts using a new energy-based model derived from design principles. The model includes several new algorithms for analyzing graphic designs, including the prediction of perceived importance, alignment detection, and hierarchical segmentation. Given the model, we use optimization to synthesize new layouts for a variety of single-page graphic designs. Model parameters are learned with Nonlinear Inverse Optimization (NIO) from a small number of example layouts. To demonstrate our approach, we show results for applications including generating design layouts in various styles, retargeting designs to new sizes, and improving existing designs. We also compare our automatic results with designs created using crowdsourcing and show that our approach performs slightly better than novice designers.
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Challenges in Developing XML-Based Learning Repositories
Auksztol, Jerzy; Przechlewski, Tomasz
There is no doubt that modular design has many advantages, including the most important ones: reusability and cost-effectiveness. In an e-leaming community parlance the modules are determined as Learning Objects (LOs) [11]. An increasing amount of learning objects have been created and published online, several standards has been established and multiple repositories developed for them. For example Cisco Systems, Inc., "recognizes a need to move from creating and delivering large inflexible training courses, to database-driven objects that can be reused, searched, and modified independent of their delivery media" [6]. The learning object paradigm of education resources authoring is promoted mainly to reduce the cost of the content development and to increase its quality. A frequently used metaphor of Learning Objects paradigm compares them to Lego Logs or objects in Object-Oriented program design [25]. However a metaphor is only an abstract idea, which should be turned to something more concrete to be usable. The problem is that many papers on LOs end up solely in metaphors. In our opinion Lego or OO metaphors are gross oversimplificatation of the problem as there is much easier to develop Lego set or design objects in OO program than develop truly interoperable, context-free learning content1.
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Scheduling projects with multiskill learning effect.
Zha, Hong; Zhang, Lianying
2014-01-01
We investigate the project scheduling problem with multiskill learning effect. A new model is proposed to deal with the problem, where both autonomous and induced learning are considered. In order to obtain the optimal solution, a genetic algorithm with specific encoding and decoding schemes is introduced. A numerical example is used to illustrate the proposed model. The computational results show that the learning effect cannot be neglected in project scheduling. By means of determining the level of induced learning, the project manager can balance the project makespan with total cost.
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Adobe Captivate 7 for mobile learning
Bruyndonckx, Damien
2013-01-01
A tutorial-based approach to learning the basics of Adobe Captivate to help bring your existing eLearning content to mobile platforms. The book will help readers to learn at their own pace with practical examples and step-by-step instructions.This book has been primarily written for teachers, course designers, professors, curriculum experts, subject matter experts, and eLearning developers who want to provide mobile-friendly content to their students.A basic knowledge of your operating system is required to follow the exercises of this book. No prior knowledge of Captivate is required, althoug
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1999-09-01
launch of the new Institute for Learning and Teaching in York. This has been established with the aim of raising standards of teaching in higher education and improving learning and teaching methods in universities and colleges. Teaching is felt to be at least as important as research in higher education, and the new Institute will oversee the quality of training programmes for higher education teachers, highlight examples of good practice throughout the UK, as well as recognize and reward good teaching. It will also help to administer teaching and learning support schemes on behalf of the Higher Education Funding Council for England, including a new #1m a year fund for national teaching fellowships. The Institute has been set up in response to recommendations in the Dearing Report on higher education, and will be an independent body supported by the teaching organisations, universities and colleges of higher education and the funding councils. Besides accrediting programmes of training and development, it will provide a range of services for members. Membership will be open to those engaged in teaching or learning support who have completed accredited training programmes or provided other evidence of eligibility. It is expected that membership of the institute will become a normal requirement for new teachers in higher education. Further information about the Institute may be obtained from the Institute for Learning and Teaching, Genesis 3, York Science Park, York YO10 5DQ (tel: 01904 434222, e-mail: enquiries@ilt.ac.uk).
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McCollough, Cherie A.
The current reform movement in education has two forces that appear contradictory in nature. The first is an emphasis on rigor and accountability that is assessed through high-stakes testing. The second is the recommendation to have student centered approaches to teaching and learning, especially those that emphasize inquiry methodology and constructivist pedagogy. Literature reports that current reform efforts involving accountability through high-stakes tests are detrimental to student learning and are contradictory to student-centered teaching approaches. However, by focusing attention on those teachers who "teach against the grain" and raise the achievement levels of students from diverse backgrounds, instructional strategies and personal characteristics of exemplary teachers can be identified. This mixed-methods research study investigated four exemplary urban high school science teachers in high-stakes (TAKS) tested science classrooms. Classroom observations, teacher and student interviews, pre-/postcontent tests and the Constructivist Learning Environment Survey (CLES) (Johnson & McClure, 2004) provided the main data sources. The How People Learn (National Research Council, 2000) theoretical framework provided evidence of elements of inquiry-based, student-centered teaching. Descriptive case analysis (Yin, 1994) and quantitative analysis of pre/post tests and the CLES revealed the following results. First, all participating teachers included elements of learner-centeredness, knowledge-centeredness, assessment-centeredness and community-centeredness in their teaching as recommended by the National Research Council, (2000), thus creating student-centered classroom environments. Second, by establishing a climate of caring where students felt supported and motivated to learn, teachers managed tensions resulting from the incorporation of student-centered elements and the accountability-based instructional mandates outlined by their school district and state
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Groenwold, Rolf H H; Knol, Mirjam J
2013-07-02
Distance learning through the internet is increasingly popular in higher education. However, it is unknown how participants in epidemiology courses value live vs. distance education. All participants of a 5-day specialisation course in epidemiology were asked to keep a diary on the number of hours they spent on course activities (both live and distance education). Attendance was not compulsory during the course and participants were therefore also asked for the reasons to attend live education (lectures and practicals). In addition, the relation between participants' learning styles (Index of Learning Styles) and their participation in live and distance education was studied. All 54 (100%) participants in the course completed the questionnaire on attendance and 46 (85%) completed the questionnaire on learning styles. The number of hours attending live education was negatively correlated with the number of hours going studying distance learning materials (Pearson correlation -0.5; p education was to stay focused during lectures (50%), and to ask questions during practicals (50%). A lack of time was the most important reason not to attend lectures (52%) or practicals (61%). Learning styles were not association with the number of hours spent on live or distance education. Distance learning may play an important role in epidemiology courses, since it allows participants to study whenever and wherever they prefer, which provides the opportunity to combine courses with clinical duties. An important requirement for distance learning education appears to be the possibility to ask questions and to interact with instructors.
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Learning Needs Analysis of Collaborative E-Classes in Semi-Formal Settings: The REVIT Example
Directory of Open Access Journals (Sweden)
Anna Mavroudi
2013-12-01
Full Text Available Analysis, the first phase of the typical instructional design process, is often downplayed. This paper focuses on the analysis concerning a series of e-courses for collaborative adult education in semi-formal settings by reporting and generalizing results from the REVIT project. REVIT, an EU-funded research project, offered custom e-courses to learners in several remote European areas and received a ‘best practice’ distinction in social inclusion. These e-courses were designed and developed for the purpose of providing training in aspects of the learners’ professional domains related to the utilization of information and communication technologies. The main challenge was to prove that it is possible and economically feasible to provide meaningful training opportunities via distance education, by utilizing existing infrastructure (“revitalizing schools” and by making use of modern digital technology affordances coupled with suitable distance learning techniques and Web 2.0 tools. ADDIE, the generic instructional systems design model, enhanced with a rapid prototyping phase, was put forth in order to allow stakeholders to interact with a prototypical e-course, which served as an introductory lesson and as a reference point, since its evaluation informed the design choices of all subsequent e-courses. The learning needs approach adopted in REVIT combined learner analysis, context analysis, and needs analysis into a coherent analysis framework in which several methods (observation, estimation, document analysis, survey, and dialogue were exploited. Putting emphasis on the analysis phase and decoupling the design from the delivery of the e-courses facilitated adaptation and localization. Adaptation and localization issues concerning the adoption of the REVIT distance learning framework, taking into account the socio-cultural and pedagogical context, are discussed. A central result reported is that the analysis phase was crucial for the
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Russ, Lesley
2015-04-01
In England, between 2010-2013, a Confidential Inquiry into premature Deaths of People with Learning Disabilities was commissioned by the Department of Health. This took place in SW England led by Norah Fry Research Centre at Bristol University. Findings from the investigations into 247 deaths included that men with learning disabilities die, on average 13 years sooner and women, on average 20 years sooner, than the general population. Over 1/3 (37%) were found to be avoidable, being amenable to good quality healthcare. A number of key recommendations were made which required understanding by a range of audiences including people with learning disabilities and their carers. This workshop will demonstrate how academics can work with actors with learning disabilities to disseminate research findings about a sensitive subject in a thought provoking and accessible way. Academics worked with the MISFITs theatre company to make a DVD about the findings and recommendations of the Confidential Inquiry. The DVD presents the findings of the Confidential Inquiry through the stories of John, Bill, Karen and Emily. It powerfully illustrates the importance of diagnosing and treating illness of people with learning disabilities in a timely and appropriate manner and highlights the measures that could be taken to reduce premature deaths in this population. The session provides an example of how the voices of people with learning disabilities can communicate research messages effectively to people with learning disabilities, health and social care practitioners and others who support the learning disability population. © 2015, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
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Developing Course Materials for Technology-Mediated Chinese Language Learning
Kubler, Cornelius C.
2018-01-01
This article discusses principles involved in developing course materials for technology-mediated Chinese language learning, with examples from a new course designed to take into account the needs of distance and independent learners. Which learning environment is most efficient for a given learning activity needs to be carefully considered. It…
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Plurilingualism and Intercomprehension and their Inclusion into the Learning of Foreign Languages
Directory of Open Access Journals (Sweden)
Darja Mertelj
2017-12-01
Full Text Available The paper offers some brief reviews about foreign/second languages teaching practices and their research regarding plurilingualism and intercomprehension, the latter meant as a support of pluri- and multilingualism in Europe, which has gained significantly increasing attention over the last twenty years. In the first part, higher education research and applied projects (»Jessner«, »Gooskens«, »Prokopowicz« regarding these topics that contributed to the improved comprehension of both phenomena and to the preparation of pluri- and multilinguistic syllabi proposals (for example CARAP / FREPA are presented. Their main focus is placed within the frame of Germanic or Romance language families, or their combination with English. Directly or indirectly, the purpose of these projects is to develop intercomprehension and plurilingual education and techniques, and they also include related linguistic analyses. The review is followed by some examples from primary and secondary education (about plurilingual practices in the German area. In the second part of the paper, an example from a “plurilingual plus intercomprehension” platform is summarised – it is specifically designed according to principles of the development of intercomprehension and plurilingualism, which illustrates how “e-learning by e-doing” (intercomprehension in a chat room can, for example, increase awareness about learners’ own intercomprehension processes, plurilingual learning strategies and motivation.
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Student Learning from Interactive Software
Lee, Kevin M.; Collaboration of Astronomy Teaching Scholars CATS
2011-01-01
For several years at the University of Nebraska we have been developing interactive software to teach introductory astronomy. This software includes the simulations of the Nebraska Astronomy Applet Project, the computer database of visual Think-Pair-Share questions and resources for feedback known as ClassAction, and a library of animated ranking and sorting tasks. All of these projects are publicly available for use over the web or download at http://astro.unl.edu. This presentation will highlight examples of research into student learning using these materials. Results from a multi-institution study of ClassAction using the Light and Spectra Concept Inventory in a pre/post format will be shown. Results from a second study on student learning gains, practices, and attitudes from use of animated ranking tasks focusing on lunar phases will also be included. This material is based upon work supported by the National Science Foundation under Grant No. 0715517, a CCLI Phase III Grant for the Collaboration of Astronomy Teaching Scholars (CATS). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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Approaches to probabilistic model learning for mobile manipulation robots
Sturm, Jürgen
2013-01-01
Mobile manipulation robots are envisioned to provide many useful services both in domestic environments as well as in the industrial context. Examples include domestic service robots that implement large parts of the housework, and versatile industrial assistants that provide automation, transportation, inspection, and monitoring services. The challenge in these applications is that the robots have to function under changing, real-world conditions, be able to deal with considerable amounts of noise and uncertainty, and operate without the supervision of an expert. This book presents novel learning techniques that enable mobile manipulation robots, i.e., mobile platforms with one or more robotic manipulators, to autonomously adapt to new or changing situations. The approaches presented in this book cover the following topics: (1) learning the robot's kinematic structure and properties using actuation and visual feedback, (2) learning about articulated objects in the environment in which the robot is operating,...
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Non-Gaussian Methods for Causal Structure Learning.
Shimizu, Shohei
2018-05-22
Causal structure learning is one of the most exciting new topics in the fields of machine learning and statistics. In many empirical sciences including prevention science, the causal mechanisms underlying various phenomena need to be studied. Nevertheless, in many cases, classical methods for causal structure learning are not capable of estimating the causal structure of variables. This is because it explicitly or implicitly assumes Gaussianity of data and typically utilizes only the covariance structure. In many applications, however, non-Gaussian data are often obtained, which means that more information may be contained in the data distribution than the covariance matrix is capable of containing. Thus, many new methods have recently been proposed for using the non-Gaussian structure of data and inferring the causal structure of variables. This paper introduces prevention scientists to such causal structure learning methods, particularly those based on the linear, non-Gaussian, acyclic model known as LiNGAM. These non-Gaussian data analysis tools can fully estimate the underlying causal structures of variables under assumptions even in the presence of unobserved common causes. This feature is in contrast to other approaches. A simulated example is also provided.
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Spevak, Arlene J.
Research in science education has presented investigations and findings related to the significance of particular learning variables. For example, the factors of learning style, learning strategy and motivational orientation have been shown to have considerable impact upon learning in a traditional classroom setting. Although these data have been somewhat generous for the face-to-face learning situation, this does not appear to be the case for distance education, particularly the Internet-based environment. The purpose of this study was to describe the on-line graduate science student, regarding the variables of learning style, learning strategy and motivational orientation. It was believed that by understanding the characteristics of adult science learners and by identifying their learning needs, Web course designers and science educators could create on-line learning programs that best utilized students' strengths in learning science. A case study method using a questionnaire, inventories, telephone interviews and documents was applied to nine graduate science students who participated for ten weeks in an asynchronous, exclusively Internet mediated graduate science course at a large, Northeastern university. Within-case and cross-case analysis indicated that these learners displayed several categories of learning styles as well as learning strategies. The students also demonstrated high levels of both intrinsic and extrinsic motivation, and this, together with varying strategy use, may have compensated for any mismatch between their preferred learning styles and their learning environment. Recommendations include replicating this study in other online graduate science courses, administration of learning style and learning strategy inventories to perspective online graduate science students, incorporation of synchronous communication into on-line science courses, and implementation of appropriate technology that supports visual and kinesthetic learners. Although
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van Hasselt, H.P.
2011-01-01
A key aspect of artificial intelligence is the ability to learn from experience. If examples of correct solutions exist, supervised learning techniques can be used to predict what the correct solution will be for future observations. However, often such examples are not readily available. The field
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Sierra/SolidMechanics 4.46 Example Problems Manual.
Energy Technology Data Exchange (ETDEWEB)
Plews, Julia A.; Crane, Nathan K; de Frias, Gabriel Jose; Le, San; Littlewood, David John; Merewether, Mark Thomas; Mosby, Matthew David; Pierson, Kendall H.; Porter, Vicki L.; Shelton, Timothy; Thomas, Jesse David; Tupek, Michael R.; Veilleux, Michael
2018-03-01
Presented in this document are tests that exist in the Sierra/SolidMechanics example problem suite, which is a subset of the Sierra/SM regression and performance test suite. These examples showcase common and advanced code capabilities. A wide variety of other regression and verification tests exist in the Sierra/SM test suite that are not included in this manual.
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Role-playing in the problem-based learning class.
Chan, Zenobia C Y
2012-01-01
Learning and teaching have been conceptualized and executed in many styles, such as self-learning, peer learning, and interaction between the learner and mentor. Today, openness to alternative ideas and embracing innovative approaches in nursing education are encouraged in order to meet students' learning interests and needs, and to address ever-changing healthcare requests. Problem-based learning has been widely adopted in nursing education, with various positive effects on students' learning, such as motivated learning, team work, problem-solving skills and critical thinking. Role-plays have been demonstrated as an effective learning strategy that includes an active and experiential feature that facilitates students' autonomy in their health-related learning. However, there is a lack of discussion of whether and how role-play can be used in problem-based learning (PBL). This paper shows the development of a classroom-based innovation using role-play in the PBL class for higher diploma year-one nurse students (a total of 20 students, five per group). This paper consists of five sections: a) the literature on PBL and nurse education, and role-plays as the innovation; b) the PBL case scenario with the illustration of the two role-play scripts, c) student evaluation on role-play in the PBL class; d) discussions on both achievements and limitations of this innovation, and e) the conclusion. It is hoped that this paper will be an example to other nurse educators who are keen on exploring interactive and student-driven learning and teaching strategies in the PBL class. Copyright © 2011 Elsevier Ltd. All rights reserved.
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Thornton, Ronald
2010-10-01
Physics education research has shown that learning environments that engage students and allow them to take an active part in their learning can lead to large conceptual gains compared to traditional instruction. Examples of successful curricula and methods include Peer Instruction, Just in Time Teaching, RealTime Physics, Workshop Physics, Scale-Up, and Interactive Lecture Demonstrations (ILDs). An active learning environment is often difficult to achieve in lecture sessions. This presentation will demonstrate the use of sequences of Interactive Lecture Demonstrations (ILDs) that use real experiments often involving real-time data collection and display combined with student interaction to create an active learning environment in large or small lecture classes. Interactive lecture demonstrations will be done in the area of mechanics using real-time motion probes and the Visualizer. A video tape of students involved in interactive lecture demonstrations will be shown. The results of a number of research studies at various institutions (including international) to measure the effectiveness of ILDs and guided inquiry conceptual laboratories will be presented.
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Achieving HBSE Competencies through Service-learning
Directory of Open Access Journals (Sweden)
Sarah E. Twill
2011-04-01
Full Text Available Service-learning pedagogy allows social work educators to create meaningful learning opportunities for students and better prepare them for practicum, while at the same time, meeting a community need. This paper outlines the relevance of incorporating service-learning into the social work curriculum, specifically the human behavior and the social environment (HBSE area. Using Bloom’s taxonomy as a guide, the authors propose how the CSWE competencies and practice behaviors specific to HBSE may be assessed using service-learning pedagogy. An example is reviewed to illustrate how service-learning can assist faculty and students achieve the HBSE competencies and practice behaviors. Finally, implications for service-learning as a pedagogical strategy for social work education are discussed.
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Staels, Eva; Van den Broeck, Wim
2017-05-01
Recently, a general implicit sequence learning deficit was proposed as an underlying cause of dyslexia. This new hypothesis was investigated in the present study by including a number of methodological improvements, for example, the inclusion of appropriate control conditions. The second goal of the study was to explore the role of attentional functioning in implicit and explicit learning tasks. In a 2 × 2 within-subjects design 4 tasks were administered in 30 dyslexic and 38 control children: an implicit and explicit serial reaction time (RT) task and an implicit and explicit contextual cueing task. Attentional functioning was also administered. The entire learning curves of all tasks were analyzed using latent growth curve modeling in order to compare performances between groups and to examine the role of attentional functioning on the learning curves. The amount of implicit learning was similar for both groups. However, the dyslexic group showed slower RTs throughout the entire task. This group difference reduced and became nonsignificant after controlling for attentional functioning. Both implicit learning tasks, but none of the explicit learning tasks, were significantly affected by attentional functioning. Dyslexic children do not suffer from a specific implicit sequence learning deficit. The slower RTs of the dyslexic children throughout the entire implicit sequence learning process are caused by their comorbid attention problems and overall slowness. A key finding of the present study is that, in contrast to what was assumed for a long time, implicit learning relies on attentional resources, perhaps even more than explicit learning does. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
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On-line Learning of Prototypes and Principal Components
Biehl, M.; Freking, A.; Hölzer, M.; Reents, G.; Schlösser, E.; Saad, David
1998-01-01
We review our recent investigation of on-line unsupervised learning from high-dimensional structured data. First, on-line competitive learning is studied as a method for the identification of prototype vectors from overlapping clusters of examples. Specifically, we analyse the dynamics of the
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PROMOTING MEANINGFUL LEARNING THROUGH CREATE-SHARE-COLLABORATE
Sailin, Siti Nazuar; Mahmor, Noor Aida
2017-01-01
Students in this 21st century are required to acquire these 4C skills: Critical thinking, Communication, Collaboration and Creativity. These skills can be integrated in the teaching and learning through innovative teaching that promotes active and meaningful learning. One way of integrating these skills is through collaborative knowledge creation and sharing. This paper providesan example of meaningful teaching and learning activities designed within the Create-Share-Collaborate instructional...
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Learning, Work, and Language Games
DEFF Research Database (Denmark)
Weber, Kirsten
2013-01-01
The article provides an example of psycho-societal analysis of work related learning. Initially a conceptual framework of learning and life experience is established drawing on Alfred Lorenzer and Oskar Negt, and the interactional development of psychoanalysis. A case of learning experience from...... process, which is related to a career shift enforced by labor market transition requiring male workers to retrain for a social work profession which used to be female, and more widely to a reconfiguration of the societal relation between work and gender. The final section discusses the methodological...... framework for analyzing learning processes by means of interpreting language use. The notion of language game connects the level of unconscious social engagements and level of formal learning and knowledge, and the opportunity for a deeper understanding of professional learning and identity is indicated...
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Machine Learning an algorithmic perspective
Marsland, Stephen
2009-01-01
Traditional books on machine learning can be divided into two groups - those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement le
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Case Study of Lessons Learned from the Operation of the Fast Flux Test Facility
International Nuclear Information System (INIS)
Wootan, D.; Omberg, R.; Grandy, C.
2016-01-01
Full text: The lessons learned approach being followed at the Fast Flux Test Facility is to have domain experts in each subject area develop a short write-up or report on each lesson learned. Each lesson learned write-up is on the order of 4–6 pages. Longer reports can be developed as needed. Each lessons learned summary discusses the problem and the resolution method employed to address the problem, and also tries to capture the essential “tacit knowledge” associated with each topic in a focused manner. All lessons learned write-ups are supported by more detailed documents. For example, references of more detailed reports are generally included, where available. Topics are selected as those most likely to apply to future design or operating problems. This lessons learned approach has been successful in capturing essential tacit knowledge about key events in FFTF history and providing a context for interpreting the existing data and references. (author
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Lotrecchiano, G R; McDonald, P L; Lyons, L; Long, T; Zajicek-Farber, M
2013-11-01
This field report outlines the goals of providing a blended learning model for an interdisciplinary training program for healthcare professionals who care for children with disabilities. The curriculum blended traditional face-to-face or on-site learning with integrated online interactive instruction. Credit earning and audited graduate level online coursework, community engagement experiences, and on-site training with maternal and child health community engagement opportunities were blended into a cohesive program. The training approach emphasized adult learning principles in different environmental contexts integrating multiple components of the Leadership Education in Neurodevelopmental and Related Disabilities Program. This paper describes the key principles adopted for this blended approach and the accomplishments, challenges, and lessons learned. The discussion offers examples from training content, material gathered through yearly program evaluation, as well as university course evaluations. The lessons learned consider the process and the implications for the role of blended learning in this type of training program with suggestions for future development and adoption by other programs.
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Monash Universitys Q-manual: An Example Of Learning Guide For University Students
Aulia, Asdi
2006-01-01
Pendidikan adalah proses mengubah perilaku manusia, dimana dalam konteks universitas adalah mahasiswa. Perubahan perilaku itu misalnya dari yang tidak mampu mengaplikasikan ilmunya menjadi mampu mengaplikasikan ilmunya. Agar pendidikan dapat berhasil, maka mahasiswa harus mengalami pengalarnan belajar (learning experience) yang relevan. Mengingat bahwa pengalaman belajar ini sangat dipengaruhi oleh aktivitas yang dilakukan mahasiswa, maka adalah sangat penting bahwa mahasiswa melakukan aktivi...
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Monash University's Q-manual: An Example Of Learning Guide For University Students
Aulia, Asdi
2006-01-01
Pendidikan adalah proses mengubah perilaku manusia, dimana dalam konteks universitas adalah mahasiswa. Perubahan perilaku itu misalnya dari yang tidak mampu mengaplikasikan ilmunya menjadi mampu mengaplikasikan ilmunya. Agar pendidikan dapat berhasil, maka mahasiswa harus mengalami pengalarnan belajar (learning experience) yang relevan. Mengingat bahwa pengalaman belajar ini sangat dipengaruhi oleh aktivitas yang dilakukan mahasiswa, maka adalah sangat penting bahwa mahasiswa melakukan aktivi...
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Learning from Dealing with Real World Problems
Akcay, Hakan
2017-01-01
The purpose of this article is to provide an example of using real world issues as tools for science teaching and learning. Using real world issues provides students with experiences in learning in problem-based environments and encourages them to apply their content knowledge to solving current and local problems.
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Integrating Collaborative Learning Groups in the Large Enrollment Lecture
Adams, J. P.; Brissenden, G.; Lindell Adrian, R.; Slater, T. F.
1998-12-01
Recent reforms for undergraduate education propose that students should work in teams to solve problems that simulate problems that research scientists address. In the context of an innovative large-enrollment course at Montana State University, faculty have developed a series of 15 in-class, collaborative learning group activities that provide students with realistic scenarios to investigate. Focusing on a team approach, the four principle types of activities employed are historical, conceptual, process, and open-ended activities. Examples of these activities include classifying stellar spectra, characterizing galaxies, parallax measurements, estimating stellar radii, and correlating star colors with absolute magnitudes. Summative evaluation results from a combination of attitude surveys, astronomy concept examinations, and focus group interviews strongly suggest that, overall, students are learning more astronomy, believe that the group activities are valuable, enjoy the less-lecture course format, and have significantly higher attendance rates. In addition, class observations of 48 self-formed, collaborative learning groups reveal that female students are more engaged in single-gender learning groups than in mixed gender groups.
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Finite time convergent learning law for continuous neural networks.
Chairez, Isaac
2014-02-01
This paper addresses the design of a discontinuous finite time convergent learning law for neural networks with continuous dynamics. The neural network was used here to obtain a non-parametric model for uncertain systems described by a set of ordinary differential equations. The source of uncertainties was the presence of some external perturbations and poor knowledge of the nonlinear function describing the system dynamics. A new adaptive algorithm based on discontinuous algorithms was used to adjust the weights of the neural network. The adaptive algorithm was derived by means of a non-standard Lyapunov function that is lower semi-continuous and differentiable in almost the whole space. A compensator term was included in the identifier to reject some specific perturbations using a nonlinear robust algorithm. Two numerical examples demonstrated the improvements achieved by the learning algorithm introduced in this paper compared to classical schemes with continuous learning methods. The first one dealt with a benchmark problem used in the paper to explain how the discontinuous learning law works. The second one used the methane production model to show the benefits in engineering applications of the learning law proposed in this paper. Copyright © 2013 Elsevier Ltd. All rights reserved.
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DEFF Research Database (Denmark)
Reng, Lars; Schoenau-Fog, Henrik
2010-01-01
technology, a broader segment of students are consequently enrolled. One of the challenges of these new educations is to motivate the artistic minded students in learning the technical aspects of the curriculum, as they need these qualifications to work in the industry. At Aalborg University’s department...... have engaged and motivated artistic students to learn technical topics on their own....... of Medialogy, we employ problem based learning and game design to engage these students in learning the technical elements. This paper will describe our approach and exemplify the method by introducing various examples of student projects, where the interest in game design combined with problem based learning...
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Lifelong Learning in Artistic Context Mediated by Advanced Technologies
Ferrari, Mirella
2016-01-01
This research starts by analysing the current state of artistic heritage in Italy and studying some examples in Europe: we try to investigate the scope of non-formal learning in artistic context, mediated by advanced technology. The framework within which we have placed our investigation is that of lifelong learning and lifedeep learning. The…
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Rege, Gautam
2013-01-01
A step-by-step tutorial with focused examples that will help you build scalable, high performance Rails web applications with Mongoid.If you are an application developer who wants to learn how to use Mongoid in a Rails application, this book will be great for you. You are expected to be familiar with MongoDB and Ruby.
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Bhattacharyya, Rani; Templin, Elizabeth; Messer, Cynthia; Chazdon, Scott
2017-01-01
Engaging communities through research-based participatory evaluation and learning methods can be rewarding for both a community and Extension. A case study of a community tourism development program evaluation shows how participatory evaluation and learning can be mutually reinforcing activities. Many communities value the opportunity to reflect…
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Semi-supervised eigenvectors for large-scale locally-biased learning
DEFF Research Database (Denmark)
Hansen, Toke Jansen; Mahoney, Michael W.
2014-01-01
improved scaling properties. We provide several empirical examples demonstrating how these semi-supervised eigenvectors can be used to perform locally-biased learning; and we discuss the relationship between our results and recent machine learning algorithms that use global eigenvectors of the graph......In many applications, one has side information, e.g., labels that are provided in a semi-supervised manner, about a specific target region of a large data set, and one wants to perform machine learning and data analysis tasks nearby that prespecified target region. For example, one might......-based machine learning and data analysis tools. At root, the reason is that eigenvectors are inherently global quantities, thus limiting the applicability of eigenvector-based methods in situations where one is interested in very local properties of the data. In this paper, we address this issue by providing...
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Modeling a student-classroom interaction in a tutorial-like system using learning automata.
Oommen, B John; Hashem, M Khaled
2010-02-01
Almost all of the learning paradigms used in machine learning, learning automata (LA), and learning theory, in general, use the philosophy of a Student (learning mechanism) attempting to learn from a teacher. This paradigm has been generalized in a myriad of ways, including the scenario when there are multiple teachers or a hierarchy of mechanisms that collectively achieve the learning. In this paper, we consider a departure from this paradigm by allowing the Student to be a member of a classroom of Students, where, for the most part, we permit each member of the classroom not only to learn from the teacher(s) but also to "extract" information from any of his fellow Students. This paper deals with issues concerning the modeling, decision-making process, and testing of such a scenario within the LA context. The main result that we show is that a weak learner can actually benefit from this capability of utilizing the information that he gets from a superior colleague-if this information transfer is done appropriately. As far as we know, the whole concept of Students learning from both a teacher and from a classroom of Students is novel and unreported in the literature. The proposed Student-classroom interaction has been tested for numerous strategies and for different environments, including the established benchmarks, and the results show that Students can improve their learning by interacting with each other. For example, for some interaction strategies, a weak Student can improve his learning by up to 73% when interacting with a classroom of Students, which includes Students of various capabilities. In these interactions, the Student does not have a priori knowledge of the identity or characteristics of the Students who offer their assistance.
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Supporting Learning with Wireless Sensor Data
Directory of Open Access Journals (Sweden)
Arttu Perttula
2013-03-01
Full Text Available In this article, learning is studied in in situ applications that involve sensors. The main questions are how to conceptualize experiential learning involving sensors and what kinds of learning applications using sensors already exist or could be designed. It is claimed that experiential learning, context information and sensor data supports twenty first century learning. The concepts of context, technology-mediated experiences, shared felt experiences and experiential learning theory will be used to describe a framework for sensor-based mobile learning environments. Several scenarios and case examples using sensors and sensor data will be presented, and they will be analyzed using the framework. Finally, the article contributes to the discussion concerning the role of technology-mediated learning experiences and collective sensor data in developing twenty first century learning by characterizing what kinds of skills and competences are supported in learning situations that involve sensors.
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Learning Inverse Rig Mappings by Nonlinear Regression.
Holden, Daniel; Saito, Jun; Komura, Taku
2017-03-01
We present a framework to design inverse rig-functions-functions that map low level representations of a character's pose such as joint positions or surface geometry to the representation used by animators called the animation rig. Animators design scenes using an animation rig, a framework widely adopted in animation production which allows animators to design character poses and geometry via intuitive parameters and interfaces. Yet most state-of-the-art computer animation techniques control characters through raw, low level representations such as joint angles, joint positions, or vertex coordinates. This difference often stops the adoption of state-of-the-art techniques in animation production. Our framework solves this issue by learning a mapping between the low level representations of the pose and the animation rig. We use nonlinear regression techniques, learning from example animation sequences designed by the animators. When new motions are provided in the skeleton space, the learned mapping is used to estimate the rig controls that reproduce such a motion. We introduce two nonlinear functions for producing such a mapping: Gaussian process regression and feedforward neural networks. The appropriate solution depends on the nature of the rig and the amount of data available for training. We show our framework applied to various examples including articulated biped characters, quadruped characters, facial animation rigs, and deformable characters. With our system, animators have the freedom to apply any motion synthesis algorithm to arbitrary rigging and animation pipelines for immediate editing. This greatly improves the productivity of 3D animation, while retaining the flexibility and creativity of artistic input.
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Directory of Open Access Journals (Sweden)
Bella H Mehta
2013-01-01
Full Text Available Objective: To describe examples of effective teaching strategies utilized within a required nonprescription therapeutics course, in order to accommodate learning characteristics of Millennials. Case Study: Instructors identified unique characteristics of Millennial generation students through literature review and focused educational workshops. These characteristics include the desire for active learning where didactic lectures make a connection to life, the incorporation of technology, and assignments that focus on team work. Course modifications were then made based on these characteristics including redesign of large group course lectures with incorporation of patient cases, inclusion of a variety of online components including the opportunity to provide course feedback, and active learning small group projects within workshop sections. Evaluation:Student evaluation of the course and instructors significantly improved after introducing changes to the course compared to previous years. Each component of the student evaluation resulted in a statistically significant change in mean score. Verbal and written evaluations indicated a very positive learning experience for students. Grade mean (3.3 vs. 3.8, p Conclusions: By identifying characteristics of Millennial generation student learners, traditional teaching methods can be modified in order to enhance retention of material and optimize their learning process. Course changes improved the learning experience for students and instructors. Instructors' willingness to evaluate generational differences and adapt teaching enhances the learning experiences in the classroom for both students and instructors. Type: Case Study
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Youngs, Noah; Penfold-Brown, Duncan; Drew, Kevin; Shasha, Dennis; Bonneau, Richard
2013-05-01
Computational biologists have demonstrated the utility of using machine learning methods to predict protein function from an integration of multiple genome-wide data types. Yet, even the best performing function prediction algorithms rely on heuristics for important components of the algorithm, such as choosing negative examples (proteins without a given function) or determining key parameters. The improper choice of negative examples, in particular, can hamper the accuracy of protein function prediction. We present a novel approach for choosing negative examples, using a parameterizable Bayesian prior computed from all observed annotation data, which also generates priors used during function prediction. We incorporate this new method into the GeneMANIA function prediction algorithm and demonstrate improved accuracy of our algorithm over current top-performing function prediction methods on the yeast and mouse proteomes across all metrics tested. Code and Data are available at: http://bonneaulab.bio.nyu.edu/funcprop.html
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Building machine learning systems with Python
Richert, Willi
2013-01-01
This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro
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Audience, Elegance, and Learning via the Internet.
Lafer, Stephen
1997-01-01
Discusses the need for educational environments that allow for authentic learning. Shows how the Internet enables practice in which students are able to manipulate concepts for the sake of getting things done and receiving feedback regarding how well the application of an understanding worked. Provides examples of three learning activities on the…
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Operational experience - Lessons learned from IRS-reports in Germany
International Nuclear Information System (INIS)
Wetzel, N.; Maqua, M.
2005-01-01
The international Incident Reporting System (IRS), jointly operated by IAEA and OECD-NEA, is a main source of safety significant findings and lessons learned of nuclear operating experience. GRS (Gesellschaft fuer Anlagen- und Reaktorsicherheit mbH) is a scientific-technical expert and research organisation. On Behalf of the Federal Minister of Environment, Nature Conservation and Reactor Safety (BMU), GRS provides the IRS officer. The evaluation of IRS-Reports and the dissemination of the main findings including the assessment of the relevance for German NPPs is task of GRS. The value of IRS is among experts undoubted. But nevertheless, the reporting to IRS decreases since some years. This presentation is aimed to show the support of IRS in strengthening the safety of German NPPs. The evaluation of IRS-Reports at GRS is three-fold. It comprises initial screening, quarterly and yearly reporting and the development of specific German Information Notices on safety significant events with direct applicability to German NPPs. Some examples of lessons learned from recent international events are discussed below. These examples shall demonstrate that the use of the IRS enhances significantly the knowledge on operational events. (author)
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Statistical learning methods in high-energy and astrophysics analysis
Energy Technology Data Exchange (ETDEWEB)
Zimmermann, J. [Forschungszentrum Juelich GmbH, Zentrallabor fuer Elektronik, 52425 Juelich (Germany) and Max-Planck-Institut fuer Physik, Foehringer Ring 6, 80805 Munich (Germany)]. E-mail: zimmerm@mppmu.mpg.de; Kiesling, C. [Max-Planck-Institut fuer Physik, Foehringer Ring 6, 80805 Munich (Germany)
2004-11-21
We discuss several popular statistical learning methods used in high-energy- and astro-physics analysis. After a short motivation for statistical learning we present the most popular algorithms and discuss several examples from current research in particle- and astro-physics. The statistical learning methods are compared with each other and with standard methods for the respective application.
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Statistical learning methods in high-energy and astrophysics analysis
International Nuclear Information System (INIS)
Zimmermann, J.; Kiesling, C.
2004-01-01
We discuss several popular statistical learning methods used in high-energy- and astro-physics analysis. After a short motivation for statistical learning we present the most popular algorithms and discuss several examples from current research in particle- and astro-physics. The statistical learning methods are compared with each other and with standard methods for the respective application
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DEFF Research Database (Denmark)
Heilesen, Simon; Nielsen, Jørgen Lerche
2004-01-01
On the basis of a large-scale project implementing information and communication technology at Roskilde University, Denmark, this paper discusses ways of introducing technology-based blended learning in academic life. We examine some examples of use of systems for computer-mediated collabora......-tive learning and work in Danish Open University education as well as in courses on campus. We further suggest some possi-bilities for using technology in innovative ways, arguing that innovation is to be found, not in isolated instantiations of sys-tems, but in the form of a deliberate integration of all...... relevant ICT-features as a whole into the learning environment....
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School Colors Enhance Learning Process
Modern Schools, 1976
1976-01-01
The dramatic use of bold colors in the interior design of the Greenhill Middle School in Dallas, Texas, is an example of how a learning environment can stimulate student interest and enthusiasm. (Author/MLF)
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Education, Parenting and Family: The Social Geographies of Family Learning
Wainwright, Emma; Marandet, Elodie
2017-01-01
This paper explores the relationship between education, parenting and family through the prism and particularities of family learning. Family learning is an example of an educational initiative, primarily aimed at parents and linked to wider policy concerns, which can be explored through a mapping of its social geographies; family learning is…
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Collaborative learning: A next step in the training of peer support providers.
Cronise, Rita
2016-09-01
This column explores how peer support provider training is enhanced through collaborative learning. Collaborative learning is an approach that draws upon the "real life" experiences of individual learners and encompasses opportunities to explore varying perspectives and collectively construct solutions that enrich the practice of all participants. This description draws upon published articles and examples of collaborative learning in training and communities of practice of peer support providers. Similar to person-centered practices that enhance the recovery experience of individuals receiving services, collaborative learning enhances the experience of peer support providers as they explore relevant "real world" issues, offer unique contributions, and work together toward improving practice. Three examples of collaborative learning approaches are provided that have resulted in successful collaborative learning opportunities for peer support providers. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
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Democratic learning in the Aalborg Model
DEFF Research Database (Denmark)
Qvist, Palle
A democratic learning system can be defined as a system where decisions, processes and behaviour related to learning are established through argumentation (discussion) or negotiation (dialog), voting or consensus (alone or in combination) between those affected by the decision simultaneously...... reaching the learning outcomes, the technical and professional knowledge and insight. In principle the participants must be equal with equal rights and feel committed to the values of rationality and impartiality. The Aalborg Model is an example of a democratic learning system although not 100% democratic......, processes and behaviour related to learning can be established through argumentation (discussion) or negotiation (dialog), voting or consensus (alone or in combination) within the group simultaneously reaching the learning outcomes, the technical and professional knowledge and insight. This article...
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The M-Technologies in M-Learning
DEFF Research Database (Denmark)
Annan, Nana Kofi; Adjin, Daniel Michael Okwabi; Ofori-Dwumfour, George
2013-01-01
network are vivid examples of static-ICTs while smartphones, tablets and mini laptop with wireless network connectivity, represent mobile-ICTs. The purpose of this paper is to elucidate the relationship between mobile computing and communication technologies, and their implication for education delivery....... The phenomenon of using mobile-ICTs for teaching and learning as popularly refered to as m-learning and is an off-shoot of e-learning which implies the use of static-ICTs for learning. The problem however, is that m-learning has a highly fragmented meaning because most fail to understand all the constituents...... of m-learning which this paper perceives to be the interconnectivity between mobile device, mobile telecommunications and mobile applications in their entirety as inseparable elements of m-learning. The questions that this paper seeks to address are; what are the key technological components of m-learning...
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Improving health care quality and safety: the role of collective learning
Directory of Open Access Journals (Sweden)
Singer SJ
2015-11-01
Full Text Available Sara J Singer,1–4 Justin K Benzer,4–6 Sami U Hamdan4,6 1Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA; 2Department of Medicine, Harvard Medical School, Boston, MA, USA; 3Mongan Institute for Health Policy, Massachusetts General Hospital, Boston, MA, USA; 4Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, USA; 5VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX, USA; 6Department of Health Policy and Management, Boston University School of Public Health, Boston, MA, USA Abstract: Despite decades of effort to improve quality and safety in health care, this goal feels increasingly elusive. Successful examples of improvement are infrequently replicated. This scoping review synthesizes 76 empirical or conceptual studies (out of 1208 originally screened addressing learning in quality or safety improvement, that were published in selected health care and management journals between January 2000 and December 2014 to deepen understanding of the role that collective learning plays in quality and safety improvement. We categorize learning activities using a theoretical model that shows how leadership and environmental factors support collective learning processes and practices, and in turn team and organizational improvement outcomes. By focusing on quality and safety improvement, our review elaborates the premise of learning theory that leadership, environment, and processes combine to create conditions that promote learning. Specifically, we found that learning for quality and safety improvement includes experimentation (including deliberate experimentation, improvisation, learning from failures, exploration, and exploitation, internal and external knowledge acquisition, performance monitoring and comparison, and training. Supportive learning environments are characterized by team characteristics like psychological
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The Practice of Supervision for Professional Learning: The Example of Future Forensic Specialists
Köpsén, Susanne; Nyström, Sofia
2015-01-01
Supervision intended to support learning is of great interest in professional knowledge development. No single definition governs the implementation and enactment of supervision because of different conditions, intentions, and pedagogical approaches. Uncertainty exists at a time when knowledge and methods are undergoing constant development. This…
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Maximization of learning speed in the motor cortex due to neuronal redundancy.
Directory of Open Access Journals (Sweden)
Ken Takiyama
2012-01-01
Full Text Available Many redundancies play functional roles in motor control and motor learning. For example, kinematic and muscle redundancies contribute to stabilizing posture and impedance control, respectively. Another redundancy is the number of neurons themselves; there are overwhelmingly more neurons than muscles, and many combinations of neural activation can generate identical muscle activity. The functional roles of this neuronal redundancy remains unknown. Analysis of a redundant neural network model makes it possible to investigate these functional roles while varying the number of model neurons and holding constant the number of output units. Our analysis reveals that learning speed reaches its maximum value if and only if the model includes sufficient neuronal redundancy. This analytical result does not depend on whether the distribution of the preferred direction is uniform or a skewed bimodal, both of which have been reported in neurophysiological studies. Neuronal redundancy maximizes learning speed, even if the neural network model includes recurrent connections, a nonlinear activation function, or nonlinear muscle units. Furthermore, our results do not rely on the shape of the generalization function. The results of this study suggest that one of the functional roles of neuronal redundancy is to maximize learning speed.
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van Veen, Saskia C.; de Wildt-Liesveld, Renée; Bunders, Joske F. G.; Regeer, Barbara J.
2014-01-01
Change processes are increasingly seen as the solution to entrenched (social) problems. However, change is difficult to realise while dealing with multiple actors, values, and approaches. (Inter)organisational learning is seen as a way to facilitate reflective practices in social change that support emergent changes, vicarious learning, and…
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Optimal quantum sample complexity of learning algorithms
Arunachalam, S.; de Wolf, R.
2017-01-01
In learning theory, the VC dimension of a concept class C is the most common way to measure its "richness." A fundamental result says that the number of examples needed to learn an unknown target concept c 2 C under an unknown distribution D, is tightly determined by the VC dimension d of the
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Mouri, Kousuke; Uosaki, Noriko; Ogata, Hiroaki
2018-01-01
Seamless learning has been recognized as an effective learning approach across various dimensions including formal and informal learning contexts, individual and social learning, and physical world and cyberspace. With the emergence of seamless learning, the majority of the current research focuses on realizing a seamless learning environment at…
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Pattern-Induced Covert Category Learning in Songbirds.
Comins, Jordan A; Gentner, Timothy Q
2015-07-20
Language is uniquely human, but its acquisition may involve cognitive capacities shared with other species. During development, language experience alters speech sound (phoneme) categorization. Newborn infants distinguish the phonemes in all languages but by 10 months show adult-like greater sensitivity to native language phonemic contrasts than non-native contrasts. Distributional theories account for phonetic learning by positing that infants infer category boundaries from modal distributions of speech sounds along acoustic continua. For example, tokens of the sounds /b/ and /p/ cluster around different mean voice onset times. To disambiguate overlapping distributions, contextual theories propose that phonetic category learning is informed by higher-level patterns (e.g., words) in which phonemes normally occur. For example, the vowel sounds /Ι/ and /e/ can occupy similar perceptual spaces but can be distinguished in the context of "with" and "well." Both distributional and contextual cues appear to function in speech acquisition. Non-human species also benefit from distributional cues for category learning, but whether category learning benefits from contextual information in non-human animals is unknown. The use of higher-level patterns to guide lower-level category learning may reflect uniquely human capacities tied to language acquisition or more general learning abilities reflecting shared neurobiological mechanisms. Using songbirds, European starlings, we show that higher-level pattern learning covertly enhances categorization of the natural communication sounds. This observation mirrors the support for contextual theories of phonemic category learning in humans and demonstrates a general form of learning not unique to humans or language. Copyright © 2015 Elsevier Ltd. All rights reserved.
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Learning about individuals' health from aggregate data.
Colbaugh, Rich; Glass, Kristin
2017-07-01
There is growing awareness that user-generated social media content contains valuable health-related information and is more convenient to collect than typical health data. For example, Twitter has been employed to predict aggregate-level outcomes, such as regional rates of diabetes and child poverty, and to identify individual cases of depression and food poisoning. Models which make aggregate-level inferences can be induced from aggregate data, and consequently are straightforward to build. In contrast, learning models that produce individual-level (IL) predictions, which are more informative, usually requires a large number of difficult-to-acquire labeled IL examples. This paper presents a new machine learning method which achieves the best of both worlds, enabling IL models to be learned from aggregate labels. The algorithm makes predictions by combining unsupervised feature extraction, aggregate-based modeling, and optimal integration of aggregate-level and IL information. Two case studies illustrate how to learn health-relevant IL prediction models using only aggregate labels, and show that these models perform as well as state-of-the-art models trained on hundreds or thousands of labeled individuals.
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Machine learning for evolution strategies
Kramer, Oliver
2016-01-01
This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search and visualization of high-dimensional optimization processes, and clustering-based niching. After giving an introduction to evolution strategies and machine learning, the book builds the bridge between both worlds with an algorithmic and experimental perspective. Experiments mostly employ a (1+1)-ES and are implemented in Python using the machine learning library scikit-learn. The examples are conducted on typical benchmark problems illustrating algorithmic concepts and their experimental behavior. The book closes with a discussion of related lines of research.
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An associative account of the development of word learning.
Sloutsky, Vladimir M; Yim, Hyungwook; Yao, Xin; Dennis, Simon
2017-09-01
Word learning is a notoriously difficult induction problem because meaning is underdetermined by positive examples. How do children solve this problem? Some have argued that word learning is achieved by means of inference: young word learners rely on a number of assumptions that reduce the overall hypothesis space by favoring some meanings over others. However, these approaches have difficulty explaining how words are learned from conversations or text, without pointing or explicit instruction. In this research, we propose an associative mechanism that can account for such learning. In a series of experiments, 4-year-olds and adults were presented with sets of words that included a single nonsense word (e.g. dax). Some lists were taxonomic (i.,e., all items were members of a given category), some were associative (i.e., all items were associates of a given category, but not members), and some were mixed. Participants were asked to indicate whether the nonsense word was an animal or an artifact. Adults exhibited evidence of learning when lists consisted of either associatively or taxonomically related items. In contrast, children exhibited evidence of word learning only when lists consisted of associatively related items. These results present challenges to several extant models of word learning, and a new model based on the distinction between syntagmatic and paradigmatic associations is proposed. Copyright © 2017 Elsevier Inc. All rights reserved.
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Development of an E-Learning Platform for Vocational Education Systems in Germany
Schober, Andreas; Müller, Frederik; Linden, Sabine; Klois, Martha; Künne, Bernd
2014-01-01
This paper describes an existing web-based learning platform named "Third Place of Learning" (TPL)--"Dritter Lernort". This project's aim is to connect the system of vocational education with digital media by a web-based learning platform. TPL supports student's digital learning by means of interactive examples and exercises.…
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Directory of Open Access Journals (Sweden)
Vera V. Lyubchenko
2014-12-01
Full Text Available The adoption of Law of Ukraine “On Higher Education” (2014 involves the increase in students’ self-learning activity part in the curriculum. Therefore the self-learning activities’ arrangement in a way augmenting the result quality becomes a top priority task. This research objective consists in elaborating the scenario for organization of the students’ qualitative self-study, based on blended learning models. The author analyzes four blended learning models: the rotation model, flex-model, self-blend model and online driver model, and gives examples of their use. It is shown that first two models are the most suitable for full-time students. A general scenario for the use of blended learning models is described. Although the use of blended learning models causes several difficulties, it also essentially contributes into students’ self-study monitoring and control support.
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Health Informatics via Machine Learning for the Clinical Management of Patients.
Clifton, D A; Niehaus, K E; Charlton, P; Colopy, G W
2015-08-13
To review how health informatics systems based on machine learning methods have impacted the clinical management of patients, by affecting clinical practice. We reviewed literature from 2010-2015 from databases such as Pubmed, IEEE xplore, and INSPEC, in which methods based on machine learning are likely to be reported. We bring together a broad body of literature, aiming to identify those leading examples of health informatics that have advanced the methodology of machine learning. While individual methods may have further examples that might be added, we have chosen some of the most representative, informative exemplars in each case. Our survey highlights that, while much research is taking place in this high-profile field, examples of those that affect the clinical management of patients are seldom found. We show that substantial progress is being made in terms of methodology, often by data scientists working in close collaboration with clinical groups. Health informatics systems based on machine learning are in their infancy and the translation of such systems into clinical management has yet to be performed at scale.
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Learning for intelligent mobile robots
Hall, Ernest L.; Liao, Xiaoqun; Alhaj Ali, Souma M.
2003-10-01
Unlike intelligent industrial robots which often work in a structured factory setting, intelligent mobile robots must often operate in an unstructured environment cluttered with obstacles and with many possible action paths. However, such machines have many potential applications in medicine, defense, industry and even the home that make their study important. Sensors such as vision are needed. However, in many applications some form of learning is also required. The purpose of this paper is to present a discussion of recent technical advances in learning for intelligent mobile robots. During the past 20 years, the use of intelligent industrial robots that are equipped not only with motion control systems but also with sensors such as cameras, laser scanners, or tactile sensors that permit adaptation to a changing environment has increased dramatically. However, relatively little has been done concerning learning. Adaptive and robust control permits one to achieve point to point and controlled path operation in a changing environment. This problem can be solved with a learning control. In the unstructured environment, the terrain and consequently the load on the robot"s motors are constantly changing. Learning the parameters of a proportional, integral and derivative controller (PID) and artificial neural network provides an adaptive and robust control. Learning may also be used for path following. Simulations that include learning may be conducted to see if a robot can learn its way through a cluttered array of obstacles. If a situation is performed repetitively, then learning can also be used in the actual application. To reach an even higher degree of autonomous operation, a new level of learning is required. Recently learning theories such as the adaptive critic have been proposed. In this type of learning a critic provides a grade to the controller of an action module such as a robot. The creative control process is used that is "beyond the adaptive critic." A
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Cooperative Learning: Improving University Instruction by Basing Practice on Validated Theory
Johnson, David W.; Johnson, Roger T.; Smith, Karl A.
2014-01-01
Cooperative learning is an example of how theory validated by research may be applied to instructional practice. The major theoretical base for cooperative learning is social interdependence theory. It provides clear definitions of cooperative, competitive, and individualistic learning. Hundreds of research studies have validated its basic…
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Online learning in dentistry: an overview of the future direction for dental education.
Schönwetter, D J; Reynolds, P A; Eaton, K A; De Vries, J
2010-12-01
This paper provides an overview of the diversity of tools available for online learning and identifies the drivers of online learning and directives for future research relating to online learning in dentistry. After an introduction and definitions of online learning, this paper considers the democracy of knowledge and tools and systems that have democratized knowledge. It identifies assessment systems and the challenges of online learning. This paper also identifies the drivers for online learning, including those for instructors, administrators and leaders, technology innovators, information and communications technology personnel, global dental associations and government. A consideration of the attitudes of the stakeholders and how they might work together follows, using the example of the unique achievement of the successful collaboration between the Universities of Adelaide, Australia and Sharjah, United Arab Emirates. The importance of the interaction of educational principles and research on online learning is discussed. The paper ends with final reflections and conclusions, advocating readers to move forward in adopting online learning as a solution to the increasing worldwide shortage of clinical academics to teach dental clinicians of the future. © 2010 Blackwell Publishing Ltd.
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Learning strategies of workers in the knowledge creating company
Poell, R.F.; van der Krogt, F.J.
2003-01-01
This study presents a critical examination of Nonaka and Takeuchi's theory about knowledge-creating companies (1995), taken as one example of contemporary management theories concerning innovation and learning. Two main questions are investigated. First, how is the learning of workers organized in
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Chi, Michelene T. H.; And Others
A study examined in detail the initial encoding of worked-out examples of mechanics problems by "good" and "poor" students, and their subsequent reliance on examples during problem solving. The subjects, three males and five females, were selected from responses to a university campus advertisement. Six of them were working…
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Learning partial differential equations via data discovery and sparse optimization.
Schaeffer, Hayden
2017-01-01
We investigate the problem of learning an evolution equation directly from some given data. This work develops a learning algorithm to identify the terms in the underlying partial differential equations and to approximate the coefficients of the terms only using data. The algorithm uses sparse optimization in order to perform feature selection and parameter estimation. The features are data driven in the sense that they are constructed using nonlinear algebraic equations on the spatial derivatives of the data. Several numerical experiments show the proposed method's robustness to data noise and size, its ability to capture the true features of the data, and its capability of performing additional analytics. Examples include shock equations, pattern formation, fluid flow and turbulence, and oscillatory convection.
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Children learn spurious associations in their math textbooks: Examples from fraction arithmetic.
Braithwaite, David W; Siegler, Robert S
2018-04-26
Fraction arithmetic is among the most important and difficult topics children encounter in elementary and middle school mathematics. Braithwaite, Pyke, and Siegler (2017) hypothesized that difficulties learning fraction arithmetic often reflect reliance on associative knowledge-rather than understanding of mathematical concepts and procedures-to guide choices of solution strategies. They further proposed that this associative knowledge reflects distributional characteristics of the fraction arithmetic problems children encounter. To test these hypotheses, we examined textbooks and middle school children in the United States (Experiments 1 and 2) and China (Experiment 3). We asked the children to predict which arithmetic operation would accompany a specified pair of operands, to generate operands to accompany a specified arithmetic operation, and to match operands and operations. In both countries, children's responses indicated that they associated operand pairs having equal denominators with addition and subtraction, and operand pairs having a whole number and a fraction with multiplication and division. The children's associations paralleled the textbook input in both countries, which was consistent with the hypothesis that children learned the associations from the practice problems. Differences in the effects of such associative knowledge on U.S. and Chinese children's fraction arithmetic performance are discussed, as are implications of these differences for educational practice. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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The Use of Conceptual Change Text toward Students’ Argumentation Skills in Learning Sound
Sari, B. P.; Feranie, S.; Winarno, N.
2017-09-01
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.
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Heutagogy and Lifelong Learning: A Review of Heutagogical Practice and Self-Determined Learning
Directory of Open Access Journals (Sweden)
Lisa Marie Blaschke
2012-01-01
Full Text Available Heutagogy, a form of self-determined learning with practices and principles rooted in andragogy, has recently resurfaced as a learning approach after a decade of limited attention. In a heutagogical approach to teaching and learning, learners are highly autonomous and self-determined and emphasis is placed on development of learner capacity and capability with the goal of producing learners who are well-prepared for the complexities of today’s workplace. The approach has been proposed as a theory for applying to emerging technologies in distance education and for guiding distance education practice and the ways in which distance educators develop and deliver instruction using newer technologies such as social media. The renewed interest in heutagogy is partially due to the ubiquitousness of Web 2.0, and the affordances provided by the technology. With its learner-centered design, Web 2.0 offers an environment that supports a heutagogical approach, most importantly by supporting development of learner-generated content and learner self-directedness in information discovery and in defining the learning path. Based on an extensive review of the current literature and research, this article defines and discusses the concepts of andragogy and heutagogy and describes the role of Web 2.0 in supporting a heutagogical learning approach. Examples of institutional programs that have incorporated heutagogical approaches are also presented; based on these examples and research results, course design elements that are characteristic of heutagogy are identified. The article provides a basis for discussion and research into heutagogy as a theory for guiding the use of new technologies in distance education.
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Multiple factor analysis by example using R
Pagès, Jérôme
2014-01-01
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The
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Robot learning from human teachers
Chernova, Sonia
2014-01-01
Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the past 30 years, with a wide variety of approaches for encoding human demonstrations and modeling skills and tasks. Additionally, we have recently seen a focus on gathering data from non-expert human teachers (i.e., domain experts but not robotics experts). In this book, we provide an introduction to the field with a focus on the unique technical challenges associated with designing robots that learn f
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Evaluation of a Learning Object Based Learning Environment in Different Dimensions
Directory of Open Access Journals (Sweden)
Ünal Çakıroğlu
2009-11-01
Full Text Available Learning Objects (LOs are web based learning resources presented by Learning Object Repositories (LOR. For recent years LOs have begun to take place on web and it is suggested that appropriate design of LOs can make positive impact on learning. In order to support learning, research studies recommends LOs should have been evaluated pedagogically and technologically, and the content design created by using LOs should have been designed through appropriate instructional models. Since the use of LOs have recently begun, an exact pedagogical model about efficient use of LOs has not been developed. In this study a LOR is designed in order to be used in mathematics education. The LOs in this LOR have been evaluated pedagogically and technologically by mathematics teachers and field experts. In order to evaluate the designed LO based environment, two different questionnaires have been used. These questionnaires are developed by using the related literature about web based learning environments evaluation criteria and also the items are discussed with the field experts for providing the validity. The reliability of the questionnaires is calculated cronbach alpha = 0.715 for the design properties evaluation survey and cronbach alpha =0.726 for pedagogic evaluation. Both of two questionnaires are five point Likert type. The first questionnaire has the items about “Learning Support of LOs, Competency of LOR, The importance of LOs in mathematics education, the usability of LOs by students”. “The activities on LOs are related to outcomes of subjects, there are activities for students have different learning styles. There are activities for wondering students.” are examples for items about learning support of LOs. “System helps for exploration of mathematical relations”, “I think teaching mathematics with this system will be enjoyable.” are example items for importance of LOs in mathematics education. In the competency of LOR title,
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The role of failure/problems in engineering: A commentary of failures experienced - lessons learned
Ryan, R. S.
1992-03-01
The written version of a series of seminars given to several aerospace companies and three NASA centers are presented. The results are lessons learned through a study of the problems experienced in 35 years of engineering. The basic conclusion is that the primary cause of problems has not been mission technologies, as important as technology is, but the neglect of basic principles. Undergirding this is the lack of a systems focus from determining requirements through design, verification, and operations phases. Many of the concepts discussed are fundamental to total quality management (TQM) and can be used to augment this product enhanced philosophy. Fourteen principles are addressed with problems experienced and are used as examples. Included is a discussion of the implication of constraints, poorly defined requirements, and schedules. Design guidelines, lessons learned, and future tasks are listed. Two additional sections are included that deal with personal lessons learned and thoughts on future thrusts (TQM).
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The role of failure/problems in engineering: A commentary of failures experienced - lessons learned
Ryan, R. S.
1992-01-01
The written version of a series of seminars given to several aerospace companies and three NASA centers are presented. The results are lessons learned through a study of the problems experienced in 35 years of engineering. The basic conclusion is that the primary cause of problems has not been mission technologies, as important as technology is, but the neglect of basic principles. Undergirding this is the lack of a systems focus from determining requirements through design, verification, and operations phases. Many of the concepts discussed are fundamental to total quality management (TQM) and can be used to augment this product enhanced philosophy. Fourteen principles are addressed with problems experienced and are used as examples. Included is a discussion of the implication of constraints, poorly defined requirements, and schedules. Design guidelines, lessons learned, and future tasks are listed. Two additional sections are included that deal with personal lessons learned and thoughts on future thrusts (TQM).
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Incorporating technology-based learning tools into teaching and learning of optimization problems
Yang, Irene
2014-07-01
The traditional approach of teaching optimization problems in calculus emphasizes more on teaching the students using analytical approach through a series of procedural steps. However, optimization normally involves problem solving in real life problems and most students fail to translate the problems into mathematic models and have difficulties to visualize the concept underlying. As an educator, it is essential to embed technology in suitable content areas to engage students in construction of meaningful learning by creating a technology-based learning environment. This paper presents the applications of technology-based learning tool in designing optimization learning activities with illustrative examples, as well as to address the challenges in the implementation of using technology in teaching and learning optimization. The suggestion activities in this paper allow flexibility for educator to modify their teaching strategy and apply technology to accommodate different level of studies for the topic of optimization. Hence, this provides great potential for a wide range of learners to enhance their understanding of the concept of optimization.
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Full Text Available ... risky behavior. Drug misuse by any route (not just injection) can put a person at risk for ... The Learn the Link public service campaign is just one example of how NIDA continues to respond ...
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Directory of Open Access Journals (Sweden)
C. Sousa
2016-03-01
Full Text Available The main objective of the present work is the selection and integration of objectives and methods of education for gender equity within the Life and Earth Sciences’ learning environments in the current portuguese frameworks of middle and high school. My proposal combines inquiry learning-teaching methods with the aim of promoting gender equity, mainly focusing in relevant 20th century women-scientists with a huge contribute to the History of Science. The hands-on and minds-on activities proposed for high scholl students of Life and Earth Sciences onstitute a learnig environment enriched in features of science by focusing on the work of two scientists: Lynn Margulis (1938-2011 and her endosymbiosis theory of the origin of life on Earth and Inge Leehman (1888-1993 responsible for a breakthrough regarding the internal structure of Earth, by caracterizing a discontinuity within the nucleus, contributing to the current geophysical model. For middle scholl students the learning environment includes Inge Leehman and Mary Tharp (1920-2006 and her first world map of the ocean floor. My strategy includes features of science, such as: theory-laden nature of scientific knowledge, models, values and socio-scientific issues, technology contributes to science and feminism. In conclusion, I consider that this study may constitute an example to facilitate the implementation, by other teachers, of active inquiry strategies focused on features of science within a framework of social responsibility of science, as well as the basis for future research.
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HTML5 eLearning kit for dummies
Boumphrey, Frank
2012-01-01
Helping self-directed learners of all levels learn HTML5 If you want to develop and structure pages for the web, HTML5 is one of the tools you need. This invaluable eLearning kit steps you through learning HTML5, CSS3, and JavaScript. With this dynamic combination of a full-color printed book and a Dummies interactive eLearning course on CD, you'll find a wealth of information on HTML5. Featuring both written and animated step-by-step how-tos, practice labs, helpful videos, numerous examples, and a host of Dummies hints and tips, this package makes your learning process easier. Follow the mate
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Input Variability Facilitates Unguided Subcategory Learning in Adults
Eidsvåg, Sunniva Sørhus; Austad, Margit; Plante, Elena; Asbjørnsen, Arve E.
2015-01-01
Purpose: This experiment investigated whether input variability would affect initial learning of noun gender subcategories in an unfamiliar, natural language (Russian), as it is known to assist learning of other grammatical forms. Method: Forty adults (20 men, 20 women) were familiarized with examples of masculine and feminine Russian words. Half…
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Wali, Akhil
2014-01-01
A book that brings out the strengths of Clojure programming that have to facilitate machine learning. Each topic is described in substantial detail, and examples and libraries in Clojure are also demonstrated.This book is intended for Clojure developers who want to explore the area of machine learning. Basic understanding of the Clojure programming language is required, but thorough acquaintance with the standard Clojure library or any libraries are not required. Familiarity with theoretical concepts and notation of mathematics and statistics would be an added advantage.
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Learning About Climate and Atmospheric Models Through Machine Learning
Lucas, D. D.
2017-12-01
From the analysis of ensemble variability to improving simulation performance, machine learning algorithms can play a powerful role in understanding the behavior of atmospheric and climate models. To learn about model behavior, we create training and testing data sets through ensemble techniques that sample different model configurations and values of input parameters, and then use supervised machine learning to map the relationships between the inputs and outputs. Following this procedure, we have used support vector machines, random forests, gradient boosting and other methods to investigate a variety of atmospheric and climate model phenomena. We have used machine learning to predict simulation crashes, estimate the probability density function of climate sensitivity, optimize simulations of the Madden Julian oscillation, assess the impacts of weather and emissions uncertainty on atmospheric dispersion, and quantify the effects of model resolution changes on precipitation. This presentation highlights recent examples of our applications of machine learning to improve the understanding of climate and atmospheric models. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.
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Doing Outcomes-Based Collaborative Teaching and Learning in Asia
van Schalkwyk, Gertina J.
2015-01-01
This chapter focuses on applying the concepts of outcomes-based collaborative teaching and learning in an Asian context and with students coming from a Confucian heritage culture and explores examples of how to implement effective collaborative teaching and learning in an Asian higher education setting.
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Dictionary of scientific units including dimensionless numbers and scales
National Research Council Canada - National Science Library
Jerrard, H.G; McNeill, D.B
1992-01-01
.... The text includes the most recently accepted values of all units. Several disciplines, which have in the past employed few scientific principles and the dictionary has been extended to include examples of these.